Dynamics of vector competence for dengue virus type 2 in rural and urban populations of Aedes albopictus: implications for infectious disease control by Jehangir Khan, Muhammad Adil, Zhang Junyan, Dongjing Zhang, Yidong Deng, Zhiyue Lv, Tao Chen

“…Abstract Background Understanding the intrinsic factors that influence mosquito vector competence (VC) to pathogens is crucial for assessing the risk of disease transmission in both rural and urban environments. …”
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A Novel Linguistic Relational Fuzzy C-Means by Peerawich Phaknonkul, Sansanee Auephanwiriyakul, Nipon Theera-Umpon

“…In real-world applications, sometimes there are uncertainties in the data sets whether from the collection process or from the natural languages. Moreover, the data may come in the form of fuzzy relation. …”
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On multivariate polynomials achievable with quantum signal processing by Lorenzo Laneve, Stefan Wolf

“…Characterizing which polynomials can be achieved with QSP protocols is an important part of the power of this technique, and while such a characterization is well-understood in the case of univariate signals, it is unclear which multivariate polynomials can be constructed when the signal is a vector, rather than a scalar. This work uses a slightly different formalism than what is found in the literature, and uses it to find simpler necessary conditions for decomposability, as well as a sufficient condition – the first, to the best of our knowledge, proven for a (generally inhomogeneous) multivariate polynomial in the context of quantum signal processing.…”
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Predictability in process-based ensemble forecast of influenza. by Sen Pei, Mark A Cane, Jeffrey Shaman

“…Process-based models have been used to simulate and forecast a number of nonlinear dynamical systems, including influenza and other infectious diseases. …”
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String processing model for knowledge-driven systems by V. P. Ivashenko

“…In case of solving particular string processing problems and using more suitable for these cases data structures such as vector or map the implemented operations have disadvantages meaning they are inferior in terms of the amount of data processed per time unit. …”
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Spatio-Temporal Evolution and Interactive Relationship Between Digital Economy and Green Development in China by Tingting Chen, Chunyan Lu, Yuting Lai, Mengxing Zhou, Qingping Hu, Tingyan Wang, Lingxin Bao

“…The interplay between the digital economy and green development was examined using a panel vector autoregression model. Additionally, digital economy and green development levels were forecasted using univariate time series and radial basis function kernel ε-support vector regression models. …”
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The Characteristic of Measles Epidemic Process in Kyrgyz Republic by M. S. Niiazalieva, O. V. Tsvirkun, V. S. Toygombaeva, I. Sh. Aldjambaeva, G. S. Ishenapysova, R. A. Frolov, G. S. Dadanova

“…The data obtained statistically processed using the Excel program. The critical level of significance is p = 0.05. …”
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Information Factor in the Dynamics of Contemporary Geopolitical Processes by A. V. Vilovatykh

“…Th e role of information in shaping geopolitical situation needs a greater academic attention, because the infl uence of external actors in favour of theor political preferences forms the vectors of state development. Modern world’s turbulence is based on technologies of managing social reality. …”
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Comparison Of Facies Estimation Using Support Vector Machine (SVM) And K-Nearest Neighbor (KNN) Algorithm Based on Well Log Data by Urip Nurwijayanto Prabowo*, Akmal Ferdiyan, Sukmaji Anom Raharjo, Sehah Sehah, Arya Dwi Candra

“…In this paper, two machine learning (Support vector machine and K-Nearest Neighbor) were adopted to increase the effectiveness and shorten the time process of facies classification in Z Field, Indonesia. …”
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MT-Former: Multi-Task Hybrid Transformer and Deep Support Vector Data Description to Detect Novel anomalies during Semiconductor Manufacturing by Hyunsu Jeong, Chiho Yoon, Hyunseok Lim, Jaesuk Chang, Sampa Misra, Chulhong Kim

“…A whole new manufacturing process is often associated with a new set of defects that can cause serious damage to the manufacturing system. …”
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Optimising Contract Interpretations with Large Language Models: A Comparative Evaluation of a Vector Database-Powered Chatbot vs. ChatGPT by P. V. I. N. Saparamadu, Samad Sepasgozar, R. N. D. Guruge, H. S. Jayasena, Ali Darejeh, Sanee Mohammad Ebrahimzadeh, B. A. I. Eranga

“…This research addresses the gap by developing and deploying a publicly available specialised chatbot using the ChatGPT language model. The development process includes architectural design, data preparation, vector embeddings, and model integration. …”
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Optimization of hydrochar production from almond shells using response surface methodology, artificial neural network, support vector machine and XGBoost by Faiçal El Ouadrhiri, Abderrazzak Adachi, Imane Mehdaoui, Fatima Moussaoui, Khalil Fouad, Abdelhadi Lhassani, Mehdi Chaouch, Amal Lahkimi

“…Herein, we investigate how to improve the hydrochar yield via hydrothermal carbonization process, focusing on the use of almond shells as a carbon resource. …”
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Construction of several plant expression vectors using multiple cell wall degrading enzyme genes from Trichoderma harzianum and rice transformation by LIU Mei, SUN Zong-xiu, XU Tong

“…Three kinds of methods was used to solve different problems in the process of vector construction: (1) Restriction solution was used directly to ligation reaction for recovered DNA fragment usually influenced ligation frequency; (2) Using one cohensive end and one blunted end to carry out the ligation reaction was more effective than two blunted ends when restriction ends must be modified; (3) Choosing appro-priate mediated plasmid to introduce new restriction sites around certain DNA fragment and avoid linear ends modification. …”
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Predicting Protein Interactions Using a Deep Learning Method-Stacked Sparse Autoencoder Combined with a Probabilistic Classification Vector Machine by Yanbin Wang, Zhuhong You, Liping Li, Li Cheng, Xi Zhou, Libo Zhang, Xiao Li, Tonghai Jiang

“…Protein-protein interactions (PPIs), as an important molecular process within cells, are of pivotal importance in the biochemical function of cells. …”
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APPLICATION OF THE SUPPORT VECTOR MACHINE, LIGHT GRADIENT BOOSTING MACHINE, ADAPTIVE BOOSTING, AND HYBRID ADABOOST-SVM MODEL ON CUSTOMERS CHURN DATA by Felice Elena, Robyn Irawan, Benny Yong

“…Customer churn analysis is the process of identifying a pattern or trend in churning customers. …”
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Rapid one-step CRISPR-cas vector assembly by isothermal spacer removal linearization and sequence-ligation independent cloning (ISRL-SLIC) by Claus Krogh Madsen, Tobias Hanak, Henrik Aronsson, Henrik Brinch-Pedersen

“…This eliminates the need for entry vectors, pre-linearization of vectors, and in vitro ligation, thus significantly simplifying the cloning process. …”
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Enhanced random vector functional link based on artificial protozoa optimizer to predict wear characteristics of Cu-ZrO2 nanocomposites by Mamdouh I. Elamy, Mohamed Abd Elaziz, Mohammed Azmi Al-Betar, A. Fathy, M. Elmahdy

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Dynamic Heart Rate Variability Vector and Premature Ventricular Contractions Patterns in Adult Hemodialysis Patients: A 48 h Risk Exploration by Gabriel Vega-Martínez, Francisco José Ramos-Becerril, Josefina Gutiérrez-Martínez, Arturo Vera-Hernández, Carlos Alvarado-Serrano, Lorenzo Leija-Salas

“…It proposes three algorithms to process long-term electrocardiography records: QRS complex and R-wave detection, premature ventricular contraction (PVC) identification, and tachograms. …”
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Rabbit carcasses as important vectors of multidrug-resistant Enterococcus faecalis, but not E. faecium: prevalence and molecular characterization from a study in Poland by Przemysław Knysz, Krzysztof Szkucik, Michał Gondek

“…Rabbit carcasses are also an important vector of multidrug-resistant E. faecalis. The high genetic similarity of multidrug-resistant E. faecalis isolates from rabbit carcasses raised on different farms suggests a common source of these bacteria or cross-contamination at slaughter. …”
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Accretion, evaporation and superradiance phase diagram of (primordial) black holes and 10−21 − 1021 eV scalar, vector, tensor fields by Caner Ünal

“…Only accretion and superradiance processes are relevant for heavy black holes, on the other hand for light black holes of primordial origin, all three processes can be relevant. …”
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