Environmental friendly carrier material for nifedipine as hypertension drug by E. Budianto, S.H. Astuti

“…In this study, all variations in the composition of polyblend resulted in a percent efficiency of encapsulation ranging from 78.82%-89.84%, and percent release ranging from 6.80%-39.07%. …”
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IMPACT OF CIRCULAR ECONOMY INDICATORS ON RESOURCE PRODUCTIVITY IN EU COUNTRIES by Daniela Rybárová, Helena Majdúchová

“…The study's insights can inform policymakers on strategies to improve resource efficiency and support sustainable development within the EU.…”

Advanced transient switching and coordinated power control strategies for flexible interconnection of multiple microgrids by Guoliang Li, Xia Lin, Lingyuan Kong, Wenhua Xia, Shuang Yan

“…Multiple microgrid (MG) distribution systems are facing challenges owing to variations in the operational statuses of the individual MGs, which experience voltage and current fluctuations during transient interconnections. …”
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A parametric bootstrap control chart for Lindley Geometric percentiles. by Muthanna Ali Hussein Al-Lami, Hossein Jabbari Khamnei, Ali Akbar Heydari

“…Future research should explore its performance in real-world production settings to confirm its efficiency and reliability.…”
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The thermoelectric properties of one dimensional Graphdiyne nanoribbons under different stress regulations by Shiyue Li, Yi Zou, Lulu Sun, Ji Ma

“…Abstract This paper theoretically investigates the thermoelectric properties of armchair-type graphdiyne nanoribbons (2-AGDYNR) and zigzag-type graphdiyne nanoribbons (2-ZGDYNR) under different stress conditions, using the nonequilibrium Green’s function method. Specifically, it explores variations in their energy bands, carrier concentrations, electrical conductivity (σ), thermal conductivity (κ), and thermoelectric figure of merit (ZT). …”
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Influence of Environmental Factors and Aggregates on Concrete Elasticity: Ultrasonic and Strength Testing by Mohammad Reza Hadidi, Yaghoub Mohammadi

“…The study also validates using UPV as a nondestructive method to efficiently evaluate concrete’s structural integrity. …”
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Numerical investigation of fractional order SEIR models with newborn immunization using Vieta–Fibonacci wavelets by Naied A. Nayied, Firdous A. Shah, Mukhtar A. Khanday, Kottakkaran Sooppy Nisar

“…The Haar wavelet method is also discussed to show its applicability and efficiency. …”
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Estimating the quasi-Fermi level of holes at the surface of semiconductor photoanodes using outer-sphere redox couples by Yuu Shioiri, Keisuke Obata, Yudai Kawase, Tomohiro Higashi, Masao Katayama, Markus Schleuning, Roel van de Krol, Dennis Friedrich, Fatwa Firdaus Abdi, Kazuhiro Takanabe

“…The quasi-Fermi level of holes is estimated by linking the oxidation photocurrent on photoanodes to the separately measured electrode potential on a stable metal electrode. Using this method, the quasi-Fermi level of holes at the surface is monitored in response to variations in applied potential and light intensity. …”
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Predicting biogas production in real scale anaerobic digester under dynamic conditions with machine learning approach by M. Erdem Isenkul, Sevgi Güneş-Durak, Yasemin Poyraz Kocak, İnci Pir, Mertol Tüfekci, Güler Türkoğlu Demirkol, Selçuk Sevgen, Aslı Seyhan Çığgın, Neşe Tüfekci

“…Biogas production through anaerobic digestion (AD) of industrial organic waste and wastewater offers a sustainable method for energy recovery. However, since process efficiency heavily relies on operational factors, continuous monitoring of the AD process and the implementation of necessary operational strategies are crucial. …”
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Nonlinear Analysis and Optimization of Recycled Aggregate Concrete Cross-Sections Based on Restoring Force Models by Chaolong Qi, Changqing Wang, Zhiming Ma

“…The method proposed here also enhances computational efficiency by minimizing resource consumption and improving the convergence of nonlinear iterative procedures. …”
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Multi-Source Rainfall Data Assimilation based on Broad Learning System over Yunnan Province by Yuanyuan ZHOU, Xiaohui YANG, Tiangui XIAO

“…The accurate estimation of rainfall is always a topic of concern， given its pivotal role in accurately predicting rainfall-related disasters.This study proposed a multi-source rainfall assimilation technology based on a broad learning system （BLS） to improve the accuracy of rainfall estimation.Yunnan Province， located in China's low-latitude plateau， was chosen as the geographical area of interest to establish a multi-source rainfall assimilation model within this region.In particular， the model utilizes five satellite-derived rainfall datasets （3B42V7， IMERG， GSMaP， CMORPH， PERSIANN） and the latitude and longitude information as the source data， and the ground-based rainfall gauge data serves as the reference data.The time span of all the datasets is from April 2014 to December 2017.A leave-one-year-out cross-validation （LOYOCV） method was applied to verify the performance of the established assimilation model， where statistical indicators including Pearson’s correlation coefficient （CC）， root-mean square error （RMSE）， mean absolute error （MAE）， Nash efficiency coefficient （NSE） and Kling-Gupta efficiency （KGE） were used to quantify the accuracy of assimilation rainfall at different spatiotemporal scales.Concurrently， assimilation models based on support vector machine （SVM） and deep neural network （DNN） were established to highlight the accuracy and efficiency of the BLS， respectively.Additionally， the effectiveness of the latitude and longitude information within the proposed assimilation model was examined.The results show that the daily average statistical index of assimilation rainfall based on BLS is better than that of the other five satellite-based products in LOYOCV.At the temporal scale， the proposed assimilation technique effectively reflects the temporal variations observed in gauge-recorded rainfall.Moreover， it can accurately estimate the rainfall amounts during rainstorms in Yunnan Province throughout 2017.It is worth noting that the rainfall data generated through the BLS method outperforms the CMORPH product （the most accurate one among the five satellite-derived rainfall products） in both rainy and dry seasons （May to October and November to April of next year， respectively）.At the spatial scale， BLS-based rainfall results in most areas of Yunnan Province showed higher CC and NSE as well as smaller RMSE and MAE than the satellite-based products.The evaluation of the assimilation models based on BLS， SVM， and DNN highlights that the BLS exhibits superior functional mapping capabilities compared to SVM and demands fewer computational resources than DNN.It is reasonable to conclude that the multi-source rainfall assimilation approach utilizing the BLS while incorporating latitude and longitude information can enhance the precision of rainfall estimates in Yunnan Province.The proposed method presents practical significance in multi-source rainfall data assimilation.…”
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Three techniques for 360-degree gonioscopy-assisted transluminal trabeculotomy with iTrack advance by Sean Smith, Jessie Wang, Shivani Kamat, Arsham Sheybani, Ian Patterson, Mary Qiu

“…This report demonstrates three variations in surgical technique for successful 360-degree GATT using the iTrack Advance. …”
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DTCNet: finger flexion decoding with three-dimensional ECoG data by Fufeng Wang, Zihe Luo, Wei Lv, XiaoLin Zhu

“…The method further enables accurate decoding of finger bending by using a 1D convolutional network composed of Dilated-Transposed convolution, which together extract channel band features and temporal variations in tandem. …”
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Mapping football tactical behavior and collective dynamics with artificial intelligence: a systematic review by José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, Eduardo Maio, Eduardo Maio, Eduardo Maio, Pedro Afonso, Pedro Afonso, Samuel Encarnação, Samuel Encarnação, Samuel Encarnação, Guilherme F. Machado, Guilherme F. Machado, Ryland Morgans, Tiago M. Barbosa, Tiago M. Barbosa, António M. Monteiro, António M. Monteiro, Pedro Forte, Pedro Forte, Pedro Forte, Ricardo Ferraz, Ricardo Ferraz, Luís Branquinho, Luís Branquinho, Luís Branquinho, Luís Branquinho

“…Concretely, the tactical behavior was expressed by spatiotemporal tracking data using convolutional neural networks, recurrent neural networks, variational recurrent neural networks, and variational autoencoders, Delaunay method, player rank, hierarchical clustering, logistic regression, XGBoost, random forest classifier, repeated incremental pruning produce error reduction, principal component analysis, and T-distributed stochastic neighbor embedding. …”
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Tensile Strength Prediction of Empty Palm Oil Bunch Fiber Composite with Artificial Neural Network by Hery Tri Waloyo, Agus Mujianto, Richie Feriyanto

“…This research aims to develop an accurate Artificial Neural Network (ANN) model to predict the tensile strength of EPOFB fiber-reinforced composites. The method involves two types of ANN, namely Radial Basis Function (RBF) and Backpropagation, with testing using variations in immersion time, volume fraction, and length of EPOFB fibers. …”
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Neuro-fuzzy control of bilateral teleoperation system with transmission timedelay and force feedback using Arduino Due board by Hakima Rahem, Rabah Mellah, Massinissa Zidane, Abdelhakim Saim

“…In order to demonstrate the efficiency, adaptability and advantages of ANFIS controller, several comparative experiments are carried out using different controllers (ANFIS, conventional PI and PI regulator with the modified wave variable method PI+MWVM). …”
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U-Net Driven High-Resolution Complex Field Information Prediction in Single-Shot Four-Step Phase-Shifted Digital Holography Using Polarization Camera by Askari Mehdi, Yongjun Lim, Kwan-Jung Oh, Jae-Hyeung Park

“…By training the network with real-valued interference patterns and using only a single pair of low- and high-resolution input and ground truth interference patterns, we simplify computational complexity and improve efficiency. Our simulations demonstrate the network’s robustness to variations in random phase distributions and transverse shifts in the input patterns. …”
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Insights into the Silylation of Benzodiazepines Using <i>N</i>,<i>O</i>-Bis(trimethylsilyl)trifluoroacetamide (BSTFA): In Search of Optimal Conditions for Forensic Analysis by GC-M... by Eleazar Vargas Mena, Eliana R. Herrera Giraldo, Jovanny A. Gómez Castaño

“…PCA identified key experimental factors influencing silylation efficiency and distinct response patterns of different benzodiazepines. …”
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Adaptive Robust Control for Pump-Controlled Pitch Systems Facing Wind Speed and System Parameter Variability by Tiangui Zhang, Bo Yu, Xuewei Wang, Yinping Liu, Gexin Chen, Keyi Liu, Chao Ai, Lihui Wang

“…Then, an ARC strategy is designed using the backstepping method and incorporating parameter adaptation to handle system nonlinearities and uncertainties. …”
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Quantitative Analysis for the Reconstruction of Porous Media Using Multiple-Point Statistics by Qing Xie, Jianping Xu, Yuanda Yuan, Cong Niu

“…The multiple-grid template method may bring great benefits to simulation efficiency over the simple data template method, as well as the recovery of the pore long-range geometric features and seepage characteristics. …”
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