Concurrent transmission mechanism to mitigate pan-exposed-node problems in wireless sensor networks by Xuejian Zhao, Siguang Chen, Jing Guo, Han Hu, Zhixin Sun

“…The rigorous time schedule can guarantee that different classes of frames do not interfere with one another. …”
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The PPAR Ω Pocket: Renewed Opportunities for Drug Development by Åsmund Kaupang, Trond Vidar Hansen

“…The past decade of PPARγ research has dramatically improved our understanding of the structural and mechanistic bases for the diverging physiological effects of different classes of PPARγ ligands. The discoveries that lie at the heart of these developments have enabled the design of a new class of PPARγ ligands, capable of isolating central therapeutic effects of PPARγ modulation, while displaying markedly lower toxicities than previous generations of PPARγ ligands. …”
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Antibiotic Susceptibility Patterns of Bacterial Isolates from Pus Samples in a Tertiary Care Hospital of Punjab, India by Rugira Trojan, Lovely Razdan, Nasib Singh

“…Overall, our findings indicate the prevalence of resistance to different classes of antibiotics in bacterial isolates from pus infections and hence highlight the need for effective surveillance, regulator reporting, and antibiogram-guided antibiotic prescription.…”
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Dynamic pricing optimization for high-speed railway based on passenger flow assignment. by Jiren Cao, Lei Nie, Lu Tong, Zhenhuan He, Zhangjiaxuan Liu

“…Based on real data, the Shandong circular high-speed railway case compared the average total revenue under different ticket price adjustment ranges and the ticket price for different classes of trains under different OD levels. …”
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The Role of Artisans in the Circumcision Festival of 1675 During the Reign of Sultan Mehmed IV by M. Fatih Torun, Nalan Turna

“…To this end, after a brief introduction, this essay focuses on the day-to-day parades of the artisans, the practices of gift-giving, the burdens and benefits of the festival for the different classes, and finally its military tone by considering the actively involved artisans and their auxiliaries.…”
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Block-Wise Two-Dimensional Maximum Margin Criterion for Face Recognition by Xiao-Zhang Liu, Guan Yang

“…The proposed method, namely, block-wise two-dimensional maximum margin criterion (B2D-MMC), aims to find local subspace projections using unilateral matrix multiplication in each block set, such that in the subspace a block is close to those belonging to the same class but far from those belonging to different classes. B2D-MMC avoids iterations and alternations as in current bilateral projection based two-dimensional feature extraction techniques by seeking a closed form solution of one-side projection matrix for each block set. …”
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Estimating the Bitumen Ratio to be Used in Highway Asphalt Concrete by Machine Learning by Muhammed Yasin Çodur, Halis Bahadir Kasil, Emre Kuşkapan

“…Each road pavement layer was divided into three different classes according to the bitumen ratios and the algorithm was trained with machine learning. …”
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Applying Data Clustering Feature to Speed Up Ant Colony Optimization by Chao-Yang Pang, Ben-Qiong Hu, Jie Zhang, Wei Hu, Zheng-Chao Shan

“…That is, some data cluster tightly in a small area and form a class, and the correlation between different classes is weak. And this feature makes the idea of divide and rule feasible for the estimate of solution of TSP. …”
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A Lightweight Convolutional Neural Network for Classification of Brain Tumors Using Magnetic Resonance Imaging by Mahir Kaya, Alper Özatılgan

“…A public data set consisting of 4 different classes (Meningioma, Glioma, Pituitary and Normal) obtained for use in the training of CNN models was trained and tested with 50 different deep learning models designed, and a better result was obtained when compared with the existing studies in the literature with 99.47% accuracy and 99.44% F1 score values.…”
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Enhancing Medical Image Classification With Context Modulated Attention and Multi-Scale Feature Fusion by Renhan Zhang, Xuegang Luo, Junrui Lv, Junyang Cao, Yangping Zhu, Juan Wang, Bochuan Zheng

“…In view of the problems existing in medical images, such as noise, diversity, and similarity among different classes, MSFF enhances the global context perception in the window partitioning framework through Context Modulation Attention (CMA). …”
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Evolutionary origins and functional diversification of Auxin Response Factors by Jorge Hernández-García, Vanessa Polet Carrillo-Carrasco, Juriaan Rienstra, Keita Tanaka, Martijn de Roij, Melissa Dipp-Álvarez, Alejandra Freire-Ríos, Isidro Crespo, Roeland Boer, Willy A. M. van den Berg, Simon Lindhoud, Dolf Weijers

“…Abstract The Auxin Response Factors (ARFs) family of transcription factors are the central mediators of auxin-triggered transcriptional regulation. Functionally different classes of extant ARFs operate as antagonistic auxin-dependent and -independent regulators. …”
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Observation of Six Pre-Flare VLP Pulsations in Solar Corona by Malihe Jalalirad, Narges Fathalian

“…Solar flares are sudden bursts in the solar atmosphere, which emit from radio wavelengths to gamma rays, and according to their energy, are classified into different classes (A, B, C, M, and X, respectively). Predicting the time of the flare occurrence and determining its class type can help reduce its destructive effects. …”
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Constraints on Gravitation from Causality and Quantum Consistency by Mark P. Hertzberg

“…We begin by examining two different classes of interacting theories of massless spin 2 particles—gravitons. …”
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Machine Learning Approaches for Developing Land Cover Mapping by Ali Alzahrani, Awos Kanan

“…Neural networks (NNs) and random forest (RF) classifiers were used to evaluate the proposed approach on a recent urban land cover dataset of nine different classes. Experimental results show that the proposed approach achieved better performance with RF classifier using only 27% of the features. …”
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Comparison of Transfection Agents in Forming Complexes with Ferumoxides, Cell Labeling Efficiency, and Cellular Viability by Ali Syed Arbab, Gene Thomus Yocum, Lindsey Bashaw Wilson, Ashari Parwana, Elaine Kay Jordan, Heather Kalish, Joseph Alan Frank

“…This study investigates the toxicity and labeling efficiency at various doses of FEs complexed to different TAs in mammalian cells. Different classes of TAs were used, such as polycationic amines, dendrimers, and lipid-based agents. …”
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Determination of Polar Compounds in Guava Leaves Infusions and Ultrasound Aqueous Extract by HPLC-ESI-MS by Elixabet Díaz-de-Cerio, Vito Verardo, Ana María Gómez-Caravaca, Alberto Fernández-Gutiérrez, Antonio Segura-Carretero

“…Several polar compounds have been identified by HPLC-ESI-MS and their antioxidant activity was evaluated by FRAP and ABTS assays. Four different classes of phenolic compounds (gallic and ellagic acid derivatives, flavonols, flavanones, and flavan-3-ols) and some benzophenones were determined. …”
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Vehicle Routing Problem with Soft Time Windows Based on Improved Genetic Algorithm for Fruits and Vegetables Distribution by Peiqing Li, Jie He, Dunyong Zheng, Yongsheng Huang, Chenhao Fan

“…The simulation results showed that the vehicle routing problem with time windows, considering road irregularities and different classes of toll roads, can significantly influence total delivery costs compared with traditional VRP models. …”
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Environmentally Friendly Antifouling Metabolites from Red Sea Organisms by Sultan Semran Al-Lihaibi, Ahmed Abdel-Lateff, Walied Mohamed Alarif, Hajer Saeed Alorfi, Yasuyuki Nogata, Tatsufumi Okino

“…Seventy-one marine organisms representing different classes of marine fauna and flora were collected from the Red Sea. …”
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Classification hiérarchique des zones boisées d’altitudes de l’île d’Anjouan, Comores by Houmadi Amélaïd, Pascal Fust, Kathleen Green, Mohamed Daniel, Ishaka Said, Joelisoa Ratsirarson, Steeves Buckland

“…Two types of analyses were used to partition the habitat into different classes : principal component analysis (PCA) and hierarchical cluster analysis (HCA). …”
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Combination Hand-Crafted Features and Semi-Supervised Features Selection From Deep Features for Atrial Fibrillation Detection by Sara Mihandoost

“…The proposed method classified ECG recordings into four different classes and obtained an average F-score of 90.21% based on 10fold cross-validations.…”
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