Porous egg microparticles for controllable drug delivery and oncotherapy by Dan Yan, Wei Wang, ZhengZheng Xie

“…Abstract Baicalein (BAI) extracted from Chinese herb has been proved to increase the sensitivity of tumor cells to gemcitabine (GEM) and effectively solve the problem of drug resistance of tumor cells. Nevertheless, intravenous administration often leads to intolerance of patients and side effects. …”
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A Tilt Receiver Correction Method for Visible Light Positioning Using Machine Learning Method by Tao Yuan, Yiqin Xu, Yong Wang, Peng Han, Junfang Chen

“…In order to solve this problem, we propose a neural network algorithm to correct the error caused by the tilt angle of the camera. …”
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Compensation of Temperature-Induced Bias Drift in Hemispherical Resonator Gyroscopes: An Inherent Data-Driven Architecture by Xiaocong Zhou, Jiaqiang Wen, Shasha Han, Chong Li

“…To address the bias drift problem and hysteresis phenomenon of hemispherical resonator gyroscope (HRG) under temperature change, a temperature drift compensation method based on internal parameters is proposed. …”
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Gender Classification With Hand-Wrist Radiographs Using the Deep Learning Method by İbrahim Yücel Özbek, Mustafa Taha Güller, Zeynep Turanli Tosun, Nida Kumbasar, Özkan Miloğlu

“…In the gender classification problem, AlexNet, VGG16 and VGG19 transfer learning methods were both used as separate classifiers, and the features taken from these methods were combined and given to the support vector machine (SVM) classifier.Results: The results revealed that image analysis and deep learning techniques provided 91.1% accuracy in gender determination.Conclusion: Hand-wrist radiographs exhibited sexual dimorphism and could be used in gender prediction.Keywords: Deep learning; İmage analysis; Hand-wrist radiographs; Gender determination…”
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Diagnosing COVID-19 Infection in Chest X-Ray Images Using Neural Network by Salim M. Zaki, Mustafa Musa Jaber, Mohammed A. Kashmoola

“… With its rapid spread, the coronavirus infection shocked the world and had a huge effect on billions of peoples' lives. The problem is to find a safe method to diagnose the infections with fewer casualties. …”
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Color Rendering Correctness Estimation of Aerial and Satellite Images and Restoration of Color Balance by I. Anikeeva, A. Chibunichev

“…Despite the fact that with a certain degree of generalization our idea of object’s color around us can be considered the same, the problem of estimation of the color rendering correctness is very relevant for image’s radiometric correction. …”
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METHOD OF OSTEOSYNTHESIS OF SUPRACONDULAR FRACTURES OF THE HUMERUS by V. A. Neverov, S. N. Chernyaev, D. V. Shinkarenko

“…Biomechanical features of different fixators were analyzed in consideration of presence of short distal fragment, traumatic of external fixation and risk of iatrogenic injury of the nerve. …”
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Assessment and Ranking of Effective Factors on Creating Local Identity in Urban Neighborhoods (Case Study: Jiroft City) by Sayyed Ali Alavi, Moosa Pahlavan Darini, Farrokhlagha Bahadori Amjazi

“…Investigating and recognizing the effective factors on local identity sense can be used to solve the problem of cities identity crisis and their neighborhoods. …”
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The Concept of the Remote Devices Content Management by Miroslav Behan, Ondrej Krejcar

“…Unfortunately in some cases when user has several different mobile devices for the same remote access, a problem of multiplatform and multivendor environment fragments productivity by user knowledge in principals of approach to possible services, controlling or management of devices as well as features is available. …”
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Three-Dimensional, Real-Time, and Intelligent Data Acquisition of Large Deformation in Deep Tunnels by Yue-Mao Zhao, Yong Han, Yong-Yuan Kou, Lin Li, Jiu-Hua Du

“…Engineering with large deformation is typically characterized by high stress, complex engineering geology, strong disturbance, and squeezing deformation, posing a great challenge to the design of an effective and accurate monitoring system. To address this problem, it is necessary to grasp the three-dimensional features of deformation and establish integrated monitoring of a support system. …”
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Cross-Domain Facial Expression Recognition Based on Transductive Deep Transfer Learning by Keyu Yan, Wenming Zheng, Tong Zhang, Yuan Zong, Chuangao Tang, Cheng Lu, Zhen Cui

“…In this paper, we proposed a novel end-to-end transductive deep transfer learning network (TDTLN) to deal with the challenging cross-domain expression recognition problem, in which both the source and target databases are utilized to jointly learn optimal nonlinear discriminative features so as to improve the label prediction performance of the target data samples. …”
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An adaptive deep learning approach based on InBNFus and CNNDen-GRU networks for breast cancer and maternal fetal classification using ultrasound images by Mamuna Fatima, Muhammad Attique Khan, Anwar M. Mirza, Jungpil Shin, Areej Alasiry, Mehrez Marzougui, Jaehyuk Cha, Byoungchol Chang

“…Data augmentation was applied in the preprocessing phase to address the data imbalance problem. After, two novel architectures are proposed: InBnFUS and CNNDen-GRU. …”
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A Novel Back Propagation Neural Network Based on the Harris Hawks Optimization Algorithm for the Remaining Useful Life Prediction of Lithium-Ion Batteries by Yuyang Zhou, Zijian Shao, Huanhuan Li, Jing Chen, Haohan Sun, Yaping Wang, Nan Wang, Lei Pei, Zhen Wang, Houzhong Zhang, Chaochun Yuan

“…At first, the circle chaotic mapping method is utilized to solve the problem of the initial value. Considering the problem of local convergence, Gaussian mutation is introduced to improve the search ability of the algorithm. …”
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Interdependence Between River Aquifer Groundwater Flow and Temperature–Depth Profiles: Type Curves Based on Pi Theorem and Numerical Simulations by José Antonio Jiménez-Valera, Iván Alhama, Carlos Duque, David Labat

“…Using the non-dimensionalization technique of the governing equations, new dimensionless groups (lumped parameters) that govern the solution of both the mechanical problem (uncoupled) and the thermal problem are obtained. …”
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Enhancing underwater target detection: Fusion of spatio‐temporal incompletely‐aligned AIS and sonar information via DTW and multi‐head attention mechanism by Wenbo Zhao, Xinghua Cheng, Dezhi Wang, Xiaodan Xiong, Xiaoshuang Zhang

“…Based on the attention mechanism, the abstract features extracted from the intermediate‐layer of the neural networks are found to be effective to represent the typical features of the target motion trajectories, which also demonstrates the effectiveness of the attention mechanism. …”
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Borehole‐Based Interval Kriging for 3D Lithofacies Modeling by Yuqi Song, Frank T.‐C. Tsai

“…Compared to the multiple‐point statistics (MPS) algorithm—SNESIM, interval kriging can reproduce the geological architecture and spatial connectivity of channel‐type features, meanwhile producing tabular‐type features with better connectivity. …”
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Surgical management of abdominal tuberculosis: A prospective single-center study by Mithun Barot, Vipul D Yagnik, Kirankumar Patel, Sushil Dawka

“…Although anemia and ESR are both nonspecific features, they may help in supporting the clinical and pathological findings. …”
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Formation and development of schooling in the Crimean ASSR (1920s) by R. N. Bogdanov

“…The attention of readers is drawn to the creation of Naroobraz, analyzes policies in the field of school education, as well as the features of public education of individual national minorities of the Crimean Peninsula. …”
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TIDieR-Placebo: A guide and checklist for reporting placebo and sham controls. by Jeremy Howick, Rebecca K Webster, Jonathan L Rees, Richard Turner, Helen Macdonald, Amy Price, Andrea W M Evers, Felicity Bishop, Gary S Collins, Klara Bokelmann, Sally Hopewell, André Knottnerus, Sarah Lamb, Claire Madigan, Vitaly Napadow, Andrew N Papanikitas, Tammy Hoffmann

“…Our main output was a modification of the existing Template for Intervention Description and Replication (TIDieR) checklist; this allows the key features of both active interventions and placebo or sham controls to be concisely summarised by researchers. …”
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Model Semantic Attention (SemAtt) With Hybrid Learning Separable Neural Network and Long Short-Term Memory to Generate Caption by Agus Nursikuwagus, Rinaldi Munir, Masayu L. Khodra, Deshinta Arrova Dewi

“…Shapes, colors, and structures are to be focused on to get the image’s features. The problem faced is how the separable neural network (SNN) and long short-term memory (LSTM) have an impact on the caption that can meet the geologist’s description. …”
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