Investigation on the Influence of Design Parameters of Streamline Flow Tubes on Pump Performance by Kan Bian, Zhi Huang, Jietao Dai, Fan Zhang, Xiaosheng Chen, Zhenlin Chen, Liyi Lai, Jianhui Zhang

“…Studies have shown that the valveless piezoelectric pump with streamline flow tubes (VPPSFTs) can increase the flow rate while reducing the vortex, which has a broad application prospect and conforms to the huge potential demand in the fields of medical treatment, sanitation, and health care. …”
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Uncovering the Metabolic Footprint of New Psychoactive Substances by Metabolomics: A Systematic Review by Ana Sofia Almeida, Paula Guedes de Pinho, Fernando Remião, Carla Fernandes

“…New psychoactive substances (NPSs) emerged in the 2000s as legal alternatives to illicit drugs and quickly became a huge public health threat due to their easy accessibility online, limited information, and misleading labels. …”
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CAT-RFE: ensemble detection framework for click fraud by Yixiang LU, Guanggang GENG, Zhiwei YAN, Xiaomin ZHU, Xinchang ZHANG

“…Click fraud is one of the most common methods of cybercrime in recent years, and the Internet advertising industry suffers huge losses every year because of click fraud.In order to effectively detect fraudulent clicks within massive clicks, a variety of features that fully combine the relationship between advertising clicks and time attributes were constructed.Besides, an ensemble learning framework for click fraud detection was proposed, namely CAT-RFE ensemble learning framework.The CAT-RFE ensemble learning framework consisted of three parts: base classifier, recursive feature elimination (RFE) and voting ensemble learning.Among them, the gradient boosting model suitable for category features-CatBoost was used as the base classifier.RFE was a feature selection method based on greedy strategy, which can select a better feature combination from multiple sets of features.Voting ensemble learning was a learning method that combined the results of multiple base classifiers by voting.The framework obtained multiple sets of optimal feature combinations in the feature space through CatBoost and RFE, and then integrated the training results under these feature combinations through voting to obtain integrated click fraud detection results.The framework adopted the same base classifier and ensemble learning method, which not only overcame the problem of unsatisfactory integrated results due to the mutual constraints of different classifiers, but also overcame the tendency of RFE to fall into a local optimal solution when selecting features, so that it had better detection ability.The performance evaluation and comparative experimental results on the actual Internet click fraud dataset show that the click fraud detection ability of the CAT-RFE ensemble learning framework exceeds that of the CatBoost method, the combined method of CatBoost and RFE, and other machine learning methods, proving that the framework has good competitiveness.The proposed framework provides a feasible solution for Internet advertising click fraud detection.…”
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An AGC Frequency Control Reserve Capacity Evaluation Method for Air Conditioner Groups Based on Nonintrusive Load Disaggregation by NIE Shihao, CHEN Lei, HAO Ling, XU Fei, MIN Yong, DOU Zhenlan, ZHANG Chunyan, SUN Pei

“…Massive air-conditioner resources on the consumer side have a huge potential to be involved in system frequency control, and massive scattered individual air-conditioners can be aggregated into air-conditioner groups to participate in system automatic generation control (AGC). …”
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Current Situation of Goose Astrovirus in China: A Review by Dan Ren, Hongliang Zhang, Xiaoou Ye, Xiuzhi Jia, Ruiming Chen, Tingbing Tang, Jianqiang Ye, Songquan Wu

“…Subsequently, the disease spread to the vast majority of eastern China, becoming a major threat to goose farms and causing huge economic losses to the goose industry. Meanwhile, GAstV can infect species of birds other than geese. …”
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Humidity dependence of AE activity in sheared quartz gouges and its implication for the micromechanics of friction by Yasuo Yabe

Subjects: “…Rate-step test of quartz gouges…”
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Transformaciones industriales y expansión urbana en el Partido del Pilar by Luis Briano, Federico Fritzche

“…En este contexto, se analizará el desarrollo industrial de este municipio de la periferia metropolitana, que se explica fundamentalmente por el desempeño del Parque Industrial Pilar, tanto durante el auge del plan de convertibilidad como después de la devaluación de 2002. …”
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Generation-based linguistic steganography with controllable security by Jiameng MEI, Yanzhen REN, Lina WANG

“…Generation-based linguistic steganography hides secret information through controllable modification and mapping of words in the candidate pool.It usually consists of three parts: text generation model, candidate pool probability distribution truncation and steganographic embedding algorithm.Due to the huge difference in the probability distribution of the text generation model outputs at different times, existing algorithms usually use top-k or top-p methods to truncate the probability distribution of words in the candidate pool to reduce the low-probability generated words and improve the security of the generated text.When the probability distribution of the candidate pool output by the text generation model is over-concentrated or over-flat, the original top-k or top-p truncation method will be not enough to cope with the change of the probability distribution, and it is easy to generate low-probability words or ignore high-probability words.This will lead to abnormal security metrics of the generated text.To address these problems, a generation-based linguistic steganography with controllable security was proposed.When selecting generated words with controllability in the candidate pool according to secret information, the proposed algorithm was based on the parameter constraints of perplexity and KL divergence.The truncation of the candidate pool probability distribution made all words satisfy the parameter constraints, which improved the security of the generated text.Experiment results showed that the perplexity and KL divergence of the steganographic text generated by the proposed algorithm are controllable.Under the same KL divergence, the perplexity of the text generated by the proposed algorithm is reduced by up to 20%～30% compared with the existing algorithm.This algorithm could control the perplexity and KL divergence at the same time, and make the generated text satisfy both perplexity and KL divergence when the indicators are reasonable.When using the three text steganalysis algorithms to detect the generated steganographic text, the detection accuracy is about 50%, showing excellent statistical security.…”
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El régimen jurídico para el apalancamiento financiero en las micro, pequeñas y medianas empresas en Cuba. Retos para el escenario jurídico cubano by Reynier Limonta Montero

“…La financiación de los emprendimientos, en todas sus figuras, constituye un tema de auge connotado en las realidades jurídicas contemporáneas. …”
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Ética y Gobernanza de la Inteligencia Artificial en el Comercio Internacional: Un Enfoque Crítico by Ana Claudia Ramos Saravia, Yubicksa Antonella Salazar Rodríguez

“…La gobernanza de la Inteligencia Artificial, cuyo principal objetivo es establecer un marco ético, normativo y regulatorio, que garantice el uso responsable de la Inteligencia Artificial, tomando en consideración que este es un campo en constante evolución. 3. …”
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Graft-repositioning technique using infusion and small bubbles during Descemet’s membrane endothelial keratoplasty by Toshiki Shimizu, Itaru Oyakawa, Daisuke Tomida, Hideaki Yokogawa, Akira Kobayashi, Satoru Yamagami, Takahiko Hayashi

“…The eye was tilted in a deviated direction, and the cornea was massaged from the corneal limbus to the center using a 27-gauge blunt needle. Before and after DMEK, we measured the best spectacle-corrected visual acuity (BSCVA), central corneal thickness (CCT), and endothelial cell density (ECD). …”
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Analysis of Joint Angular Distribution for Nonreciprocal Beams via the Mixture of Gaussian Distribution Based on Ray-Tracing by Jiachi Zhang, Liu Liu, Zhenhui Tan, Kai Wang, Tao Zhou

“…Multiple-input and multiple-output (MIMO) technology can not only provide huge data rates but also overcome the severe propagation attenuation effect, especially in millimeter-wave (mmWave) bands by utilizing beamforming. …”
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Amido‐Triazole Complexes, “Normal” Triazole‐Based Imines and Metallo‐Mesoionic Imines by M. Sc. Richard Rudolf, Prof. Dr. Biprajit Sarkar

“…Abstract Mesoionic compounds are hugely popular in fields such as organic chemistry, organometallic chemistry and homogeneous catalysis. …”
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Competition between microstructure and defect in multiaxial high cycle fatigue by F. Morel, R. Guerchais, N. Saintier

“…This study aims at providing a better understanding of the effects of both microstructure and defect on the high cycle fatigue behavior of metallic alloys using finite element simulations of polycrystalline aggregates. …”
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ISMAC: An Intelligent System for Customized Clinical Case Management and Analysis by Mingyu You, Chong Chen, Guo-Zheng Li, Shi-Xing Yan, Sheng Sun, Xue-Qiang Zeng, Qing-Ce Zhao, Liao-Yu Xu, Su-Ying Huang

“…Varying data analysis and mining methods, grouped as Basic Analysis, Association Rule, Feature Reduction, Cluster, Pattern Classification, and Pattern Prediction, are implemented in the system. …”
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A Real-Time Embedded Control System for Electro-Fused Magnesia Furnace by Fang Zheng, Yang Jie, Tao Shifei, Wu Zhiwei, Chai Tianyou

“…However, advanced intelligent control strategy always involves huge programming task and hard debugging and maintaining problems. …”
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A Case of Descending Necrotizing Mediastinitis in a Previously Healthy Child by Toshihiko Okumura, Nobuyuki Tetsuka, Makoto Yamaguchi, Takako Suzuki, Yuka Torii, Jun-ichi Kawada, Yoshinori Ito

“…He was treated with an antimicrobial agent for the diagnosis of cervical lymphadenitis. On the sixth day, a huge mediastinal abscess was found, and he was admitted to the intensive care unit. …”
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AFF-LightNet: A Lightweight Ship Detection Architecture Based on Attentional Feature Fusion by Yingxiu Yuan, Xiaoyan Yu, Xianwei Rong, Xiaozhou Wang

“…Recently, the most advanced learning-based methods have markedly improved the accuracy of ship detection, but these models often face huge challenges on resource limited mobile devices due to their large size and high computational requirements. …”
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Giant triple negative pregnancy-associated breast cancer (PABC) in a young woman: From diagnosis to therapy step by step: A case report by Micol Bottalico, Cristiana Boldrini

“…Imaging techniques such as ultrasonography (and mammography as an adjunct) and nonenhanced MRI (due to potential toxicity of gadolinium to the fetus) can be used for staging maternal breast disease during pregnancy. …”
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Performance of Three Reanalysis Precipitation Datasets over the Qinling-Daba Mountains, Eastern Fringe of Tibetan Plateau, China by Gefei Wang, Xiaowen Zhang, Shiqiang Zhang

“…Three popular reanalysis precipitation datasets, including ERA-Interim Reanalysis of European Centre for Medium Forecasts (ERA-Interim), Japanese 55-year Reanalysis (JRA-55), and National Centers for Environmental Prediction/National Center for Atmospheric Research Reanalysis-1 (NCEP/NCAR-1) were evaluated against rain gauge data over the Qinling-Daba Mountains from 2000 to 2014 on monthly, seasonal, and annual scales. …”
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