Host-Driven Ubiquitination Events in Vector-Transmitted RNA Virus Infections as Options for Broad-Spectrum Therapeutic Intervention Strategies by Sanskruthi Sreepangi, Haseebullah Baha, Lorreta Aboagyewa Opoku, Naomi X. Jones, Maame Konadu, Farhang Alem, Michael D. Barrera, Aarthi Narayanan

“…Many vector-borne viruses are re-emerging as public health threats, yet our understanding of the virus–host interactions critical for productive infection remains limited. …”
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Construction of advanced persistent threat attack detection model based on provenance graph and attention mechanism by Yuancheng LI, Hao LUO, Xinyu WANG, Jiexuan YUAN

“…In response to the difficulty of existing attack detection methods in dealing with advanced persistent threat (APT) with longer durations, complex and covert attack methods, a model for APT attack detection based on attention mechanisms and provenance graphs was proposed.Firstly, provenance graphs that described system behavior based on system audit logs were constructed.Then, an optimization algorithm was designed to reduce the scale of provenance graphs without sacrificing key semantics.Afterward, a deep neural network (DNN) was utilized to convert the original attack sequence into a semantically enhanced feature vector sequence.Finally, an APT attack detection model named DAGCN was designed.An attention mechanism was applied to the traceback graph sequence.By allocating different weights to different positions in the input sequence and performing weight calculations, sequence feature information of sustained attacks could be extracted over a longer period of time, which effectively identified malicious nodes and reconstructs the attack process.The proposed model outperforms existing models in terms of recognition accuracy and other metrics.Experimental results on public APT attack datasets show that, compared with existing APT attack detection models, the accuracy of the proposed model in APT attack detection reaches 93.18%.…”
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Generation of THz vector and scalar vortex beams by optical rectification along threefold symmetry axis in zinc blende crystals by Yaqun Liu, Valdas Pasiskevicius

“…In particular, we show that by shaping the pump beam using an S-waveplate, the order of the generalized angular momentum is doubled in the process of optical rectification. Moreover, we show that the generated THz vector vortex beam can be decomposed into two scalar vortex beams with opposite signs of angular momentum states. …”
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Modeling the effectiveness of Esperanza window traps as a complementary vector control strategy for achieving the community-wide elimination of onchocerciasis by Shakir Bilal, Morgan E. Smith, Swarnali Sharma, Wajdi Zaatour, Ken Newcomb, Thomas R. Unnasch, Edwin Michael

“…The integration of landscape-level EWT deployment with seasonal transmission models also illustrates how macroparasite models can be extended to incorporate spatio-temporal processes, offering valuable insights for optimizing vector control strategies.…”
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Vector-like tops from first generation quarks: the role of width and coupling chiralities in same-charge production at the LHC by Stefano Moretti, Luca Panizzi, Liangliang Shang

“…Abstract In this paper, we tension the scope of the q q ¯ $$ q\overline{q} $$ , gg → T T ¯ $$ T\overline{T} $$ production process against that of the same-charge uu → TT one in searching for Vector-Like Quarks (VLQs) with electromagnetic charge +2/3 at the Large Hadron Collider (LHC). …”
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A Modified Support Vector Machine Classifiers Using Stochastic Gradient Descent with Application to Leukemia Cancer Type Dataset by Ghadeer Jasim Mahdi

“…Support vector machines (SVMs) are supervised learning models that analyze data for classification or regression. …”
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Sentiment Analysis of Tweets Using Supervised Machine Learning Techniques Based on Term Frequency by Deepti Aggarwal, Vikram Bali, Abhishek Agarwal, Kshitiz Poswal, Madhav Gupta, Abhishek Gupta

“…Sentiment analysis of the text uses Natural language processing, a machine learning technique to tell the orientation of opinion of a piece of text. …”
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Performance of the Earth Explorer 11 SeaSTAR Mission Candidate for Simultaneous Retrieval of Total Surface Current and Wind Vectors by Adrien C. H. Martin, Christine P. Gommenginger, Daria Andrievskaia, Petronilo Martin-Iglesias, Alejandro Egido

“…The SeaSTAR satellite mission concept proposes to better quantify and understand these important dynamic processes by measuring two-dimensional fields of total surface current and wind vectors with unparalleled spatial and temporal resolution (1 × 1 km² or finer, 1 day) and unmatched precision over one continuous wide swath (100 km or more). …”
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Sugarcane yellow leaf virus impairs the transcriptomic defense response of sugarcane to its new aphid vector Melanaphis sorghi by Ricardo José Gonzaga Pimenta, Alexandre Hild Aono, Danilo Augusto Sforça, Maria Natália Guindalini Melloni, Marcos Cesar Gonçalves, Luciana Rossini Pinto, Anete Pereira de Souza

“…The sugarcane aphid Melanaphis sacchari is considered the main vector of SCYLV, and the closely related sorghum aphid Melanaphis sorghi, which has recently emerged as a pest of great relevance in sorghum, has also been suspected to be a vector. …”
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Forecasting Inflation Rate Using Support Vector Regression (SVR) Based Weight Attribute Particle Swarm Optimization (WAPSO) by Erlin Mega Priliani, Anggyi Trisnawan Putra, Much Aziz Muslim

“…Data mining is the process of finding patterns or interesting information in selected data by using a particular technique or method. …”
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The Point Cloud Reduction Algorithm Based on the Feature Extraction of a Neighborhood Normal Vector and Fuzzy-c Means Clustering by Hongxiao Xu, Donglai Jiao, Wenmei Li

“…However, the original point cloud model is often vast and includes considerable redundant data, resulting in inefficiencies during the three-dimensional modeling process. To address this issue, this paper proposes a point cloud reduction algorithm that leverages domain normal vectors and fuzzy-c means (FCM) clustering for feature extraction. …”
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Advanced sentiment analysis in online shopping: Implementing LSTM models analyzing E-commerce user sentiments by Lu Liyuan

“…The authors have used a large dataset of customer reviews from famous e-commerce websites, pre-processed for noise reduction and standardization of the input. …”
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Identification of Rice Varieties Using Machine Learning Algorithms by Murat Koklu, İlkay Çınar

“…The images were pre-processed using MATLAB software and prepared for feature extraction. …”
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Speech emotion recognition using long-term average spectrum by Huerta-Hernández Luis David, Meléndez-Acosta Nayeli Joaquinita, Troncoso-Romero David Ernesto, Ramírez-Pacheco Julio César, León-Borges Jose Antonio

“…Automatic speech emotion recognition has become an important research subject in the area of speech signal processing. The performance of classification algorithms depends on the features extracted from speech. …”
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Deep Learning Approach for Predicting Psychodiagnosis by Zouaoui Samia, Khamari Chahinez

“…Currently, there is a great need for effectively processing mental healthcare with the integration of artificial intelligence such as machine learning and deep learning. …”
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A Forecasting Approach Combining Self-Organizing Map with Support Vector Regression for Reservoir Inflow during Typhoon Periods by Gwo-Fong Lin, Tsung-Chun Wang, Lu-Hsien Chen

“…In conclusion, the proposed model, which considers limit and higher related inputs instead of all inputs, can generate better forecasts in different clusters than are generated from the SOM process. The SOM-SVM2 model is recommended as an alternative to the original SVR (Support Vector Regression) model because of its accuracy and robustness.…”
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Construction of eukaryotic expression vector of human forkhead box class O6 and its effect on glioma cell survival by GONG Xiaoxia, LI Chao, CAO Xiyue, YANG Chengcheng, HUANG Chao

“…In conclusion, the eukaryotic expression vector of FOXO6 is constructed successfully. In vitro experiments suggest that FOXO6 may inhibit the energy metabolism and anti-oxidation process of U251 cells by inhibiting the expression of PGC-1α, and then induce the apoptosis of U251 cells. …”
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An SDS-NaOH-based method to isolate genome of recombinant adeno-associated virus vectors for physical titer measurement. by Xiangying Zhu, Keying Yang, Jinyan Xie, Xilin Feng, Tao Wu, Mengjun Hu, Haijian Wang, Chenghui Yu, Xiaomin Yu, Farhid Hemmatzadeh, Liqing Zhu, Linhua Zhang

“…Overall, this method offers a rapid and straightforward solution to determine rAAV vector genome titers in both purified preparations and during the manufacturing process.…”
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Automated Detection of Aberrant Episodes in Epileptic Conditions: Leveraging EEG and Machine Learning Algorithms by Uddipan Hazarika, Bidyut Bikash Borah, Soumik Roy, Manob Jyoti Saikia

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Assessing the Role of EEG Biosignal Preprocessing to Enhance Multiscale Fuzzy Entropy in Alzheimer’s Disease Detection by Pasquale Arpaia, Maria Cacciapuoti, Andrea Cataldo, Sabatina Criscuolo, Egidio De Benedetto, Antonio Masciullo, Marisa Pesola, Raissa Schiavoni

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