End-to-end dataflow engineering framework of honey manufacturing from intermediates to process by TAS1R2@AuNPs/SPCE biosensor coupled with quality transfer principle by Xiaoyan Hu, Jingqi Zeng, Lijuan Ma, Xiaomeng Wang, Jing Du, Lu Yao, Zhisheng Wu

“…Furthermore, a hypersensitized TAS1R2@AuNPs/SPCE biosensor was developed to identify biological quality attributes of honey, the powerful affinities between honey intermediates and the TAS1R2 receptor were discovered (KD < 1 × 10−8 M), and the abnormal batches of B2, B23 and C23 were diagnosed by TAS1R2@AuNPs/SPCE biosensor and multivariable algorithm. Finally, the end-to-end dataflow containing physical, chemical and biological critical quality attributes was successfully established to interpret the quality transfer principle of honey manufacturing, which revealed that the front-end refining process was relatively unstable and the back-end refining process was a negligible influence on the quality of honey manufacturing. …”
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The Small-Signal Stability of Offshore Wind Power Transmission Inspired by Particle Swarm Optimization by Jiening Li, Hanqi Huang, Xiaoning Chen, Lingxi Peng, Liang Wang, Ping Luo

“…In order to improve the weak damping of the power system, this paper presents a method to determine the parameters of the power system stabilizer (PSS) based on the particle swarm optimization (PSO) algorithm combined with different inertia weight functions. …”
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SIAT-WEXv2: A Wearable Exoskeleton for Reducing Lumbar Load during Lifting Tasks by Xinyu Ji, Dashuai Wang, Pengfei Li, Liangsheng Zheng, Jianquan Sun, Xinyu Wu

“…Additionally, we use robust fuzzy adaptive algorithm to improve SIAT-WEXv2’s antidisturbance ability, so that it can provide continuous and supple assistance for wearer. …”
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A Two-Stage Method for Screening Pulse RFI in SAR Raw Data Alternating the Use of Time and Frequency Domains by Tingting Wei, Xingwang Hu, Zhengwei Guo, Gaofeng Shu, Yabo Huang, Ning Li

“…Then, the preliminary screening results are accumulated along the range direction, and the accumulated results are classified using a clustering algorithm to perform pulse-level screening to obtain the serial number of the pulses containing PRFI. …”
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Geographical origin traceability of kiwifruit products using stable isotope and multi-element analysis with multivariate modeling: Feature extraction, selection of model and variab... by Wang Shuanhui, Chen Chang, Tian Jing, Liu Zhi, Mei Xianxian, Zhou Jialu, Wang Dongguang, Zhu Shaohua

“…Supervised methods, partial least squares-discriminant analysis (PLS-DA) and its derivative algorithm (OPLS-DA), linear discriminant analysis (LDA), enhanced identification performance and finally elevated the accuracies to 100 % for all kiwifruit origins. …”
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Winter Wheat Yield Prediction Using Satellite Remote Sensing Data and Deep Learning Models by Hongkun Fu, Jian Lu, Jian Li, Wenlong Zou, Xuhui Tang, Xiangyu Ning, Yue Sun

“…This study proposes a method for predicting yields in China’s major winter wheat-producing regions using MOD13A1 data and a deep learning model which incorporates an Improved Gray Wolf Optimization (IGWO) algorithm. By adjusting the key parameters of the Convolutional Neural Network (CNN) with IGWO, the prediction accuracy is significantly enhanced. …”
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High-resolution X-ray phase-contrast tomography of human placenta with different wavefront markers by Sara Savatović, Davis Laundon, Fabio De Marco, Mirko Riedel, Jörg U. Hammel, Madleen Busse, Murielle Salomé, Lorella Pascolo, Irene Zanette, Rohan M. Lewis, Julia Herzen, Pierre Thibault

“…Both MBI datasets are processed with the Unified Modulated Pattern Analysis (UMPA) model, a pattern-matching algorithm. In order to evaluate the benefits and suitability of MBI for virtual histology, we discuss how the complexities of the technique influence image quality and correlate the obtained volumes to 2D techniques, such as conventional histology and X-ray fluorescence (XRF) elemental maps.…”
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An oral microbiota-based deep neural network model for risk stratification and prognosis prediction in gastric cancer by Xue-Feng Gao, Can-Gui Zhang, Kun Huang, Xiao-Lin Zhao, Ying-Qiao Liu, Zi-Kai Wang, Rong-Rong Ren, Geng-Hui Mai, Ke-Ren Yang, Ye Chen

“…The identified bacterial markers were used to construct a Deep Neural Network (DNN) model, a Random Forest (RF) model, and a Support Vector Machine (SVM) model for predicting GC prognosis.Results GC patients with <3 years of survival showed a higher abundance of Aggregatibacter and diminished abundances of Filifactor and Moryella than those who survived ≥3 years. The Boruta algorithm unearthed Leptotrichia as another significant marker for GC prognosis. …”
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Review on the Millimeter-Wave Generation Techniques Based on Photon Assisted for the RoF Network System by Jiangnan Xiao, Chuang Zhao, Xingxing Feng, Xu Dong, Jiangli Zuo, Jun Ming, Ye Zhou

“…Furthermore, we list several approaches to realize the large capacity data transmission techniques and describe the digital signal processing (DSP) algorithm flow in the receiver. In the end, we summarize the RoF network system and look forward to the future.…”
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SAFIRE STRENGTH OPTIMIZATION: EFFECT ON TISSUE CONTRAST AND PATHOLOGICAL ASSESSMENT OF BRAIN MSCT WITH NON-HEMORRHAGE STROKE (SNH) by I Putu Eka Juliantara, Angel Lingkan Martoyo, Made Sayang Pratista

“…Background: Sinogram Affirmed Iterative Reconstruction (SAFIRE) is an Iterative Reconstruction algorithm that combines IR techniques that utilize raw data and image data iterations as parameters that underlie noise regularization in images in the reconstruction process to improve image quality. …”
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Shine on: Review of Laser- and Light-Based Therapies for the Treatment of Burn Scars by C. Scott Hultman, Renee E. Edkins, Clara N. Lee, Catherine T. Calvert, Bruce A. Cairns

“…Three different platforms are now poised to alter our reconstructive algorithm: (1) vascular-specific pulsed dye laser (PDL) to reduce hyperemia, (2) ablative fractional CO2 laser to improve texture and pliability of the burn scar, and (3) intense pulsed light (IPL) to correct burn scar dyschromia and alleviate chronic folliculitis. …”
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Initial Evaluation of Computer-Assisted Radiologic Assessment for Renal Mass Edge Detection as an Indication of Tumor Roughness to Predict Renal Cancer Subtypes by Rahul Rajendran, Kevan Iffrig, Deepak K Pruthi, Allison Wheeler, Brian Neuman, Dharam Kaushik, Ahmed M Mansour, Karen Panetta, Sos Agaian, Michael A. Liss

“…Tumor “Roughness” was based on image algorithm of tumor topographic features visualized on computed tomography (CT) scans. …”
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Interpretable machine learning approach for electron antineutrino selection in a large liquid scintillator detector by A. Gavrikov, V. Cerrone, A. Serafini, R. Brugnera, A. Garfagnini, M. Grassi, B. Jelmini, L. Lastrucci, S. Aiello, G. Andronico, V. Antonelli, A. Barresi, D. Basilico, M. Beretta, A. Bergnoli, M. Borghesi, A. Brigatti, R. Bruno, A. Budano, B. Caccianiga, A. Cammi, R. Caruso, D. Chiesa, C. Clementi, S. Dusini, A. Fabbri, G. Felici, F. Ferraro, M.G. Giammarchi, N. Giudice, R.M. Guizzetti, N. Guardone, C. Landini, I. Lippi, S. Loffredo, L. Loi, P. Lombardi, C. Lombardo, F. Mantovani, S.M. Mari, A. Martini, L. Miramonti, M. Montuschi, M. Nastasi, D. Orestano, F. Ortica, A. Paoloni, E. Percalli, F. Petrucci, E. Previtali, G. Ranucci, A.C. Re, M. Redchuck, B. Ricci, A. Romani, P. Saggese, G. Sava, C. Sirignano, M. Sisti, L. Stanco, E. Stanescu Farilla, V. Strati, M.D.C. Torri, A. Triossi, C. Tuvè, C. Venettacci, G. Verde, L. Votano

“…However, given the low cross-section of antineutrino interactions, the development of a powerful event selection algorithm becomes imperative to achieve effective discrimination between signal and backgrounds. …”
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Clustering Cu-S based compounds using periodic table representation and compositional Wasserstein distance by Shuyan Hao, Ting Xia, Ruizhi Zhang, Meng Guo

“…Then all the Cu-S compounds are clustered into 86 groups using the similarity matrix and “density-based spatial clustering of applications with noise” (DBSCAN) algorithm. Some selected groups are analyzed using crystal structure visualization of hundreds of compounds, which provides chemical insights of the similarity metrics and shows the effectiveness of clustering. …”
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Multi-Objective Optimization Design for Cold-Region Office Buildings Balancing Outdoor Thermal Comfort and Building Energy Consumption by Fei Guo, Shiyu Miao, Sheng Xu, Mingxuan Luo, Jing Dong, Hongchi Zhang

“…The Non-dominated Sorting Genetic Algorithm II (NSGA-II) is applied to coordinate two performance metrics—outdoor thermal comfort and building energy loads—for the multi-objective optimization of architectural design. …”
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Nonlinear vibration analysis of a 3DOF double pendulum system near resonance by Asmaa Amer, W. Zhang, T.S. Amer, H. Li

“…These solutions are ascertained by contrasting them with numerical solutions (NS) that are derived utilizing the fourth-order Runge-Kutta algorithm (RKA-4). The modulation equations are constructed, and the principal external resonance cases are scrutinized concurrently based on the solvability constraints. …”
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Assessing Accessibility of Dockless Sharing-Bike Networks by the Social Network Analysis Method by Pei Liu, Junlan Chen, Heyang Sun, Xiucheng Guo, Yan Wang, Zhenjun Zhu

“…Considering bicycle travel characteristics, a hierarchical clustering algorithm was applied to construct the dockless sharing-bike network. …”
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The nature of self-medication in Uganda: a systematic review and meta-analysis by Danladi Makeri, Priscilla Peter Dilli, Theophilus Pius, Naheem Adekilekun Tijani, Abdullateef Afolabi Opeyemi, Kadai Alhaji Lawan, Shango Patience Emmanuel Jakheng, Reagan Muhwezi, Ambrose Shabohurira, Ibe Michael Usman, Ezera Agwu

“…Methods We searched Scopus, PubMed, and Embase databases, WHO AFRO, UNIPH registries, and Google Scholar search engine from inception to November 2024 using the algorithm “Self-Medication” AND “Uganda”. Twenty-two eligible studies were included while adhering to the preferred reporting items for systematic reviews and meta-analysis (PRISMA). …”
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Analisis Sentimen E-Learning X Terhadap Antarmuka Pengguna Menggunakan Kombinasi Multinomial Naive Bayes Dan Pendekatan Design Thinking by Baenil Huda, Irwan Sembiring, Iwan Setiawan, Danny Manongga, Hindriyanto Dwi Purnomo, Hendry Hendry, Ahmad Fauzi, April Lia Hananto, Tukino Tukino

“…Sentiment data from user reviews is classified using the Multinomial Naive Bayes algorithm, while Design Thinking is used to design more user-friendly interface solutions. …”
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A renewable integrated multi-area system for LFC incorporating electrical vehicle with SoC estimation by F. Lalhmangaihzuala, Subir Datta, Samuel Lalngaihawma, Taha Selim Ustun, Akhtar Kalam

“…The controller parameters undergo optimization by applying an innovative optimization method called the Mine Blasting algorithm, which utilizes an integral square error (ISE)-based fitness function. …”
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