Exposure to Pseudomonas spp. increases Anopheles gambiae insecticide resistance in a host-dependent manner by Luís M. Silva, Gwendoline Acerbi, Marine Amann, Jacob C. Koella

“…Abstract The microbiota of mosquitoes influences many aspects of their biology, including developmental processes, mating and sexual reproduction, immune functions, and refractoriness to pathogens. …”
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Automated Classification Model for Elementary Mathematics Diagnostic Assessment Data Based on TF-IDF and XGBoost by Seonghyun Park, Seungmin Oh, Woncheol Park

“…Furthermore, the system demonstrated an average real-time processing speed of 1.3 s, ensuring instant feedback in educational settings. …”
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Real-Time Traffic Data Analysis and Deep Learning-based Traffic Volume Classification for Congestion Mitigation at Urban Intersections by Omar Abdullah Hasan, Duraid Y. Mohammed

“…The collected data underwent analysis through signal processing techniques, followed by detection using machine learning models: Support Vector Machine (SVM), Random Forest (RF), Artificial Neural Network (ANN), Long Short-Term Memory (LSTM). …”
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Investigation of the plane wave coupling to a linearly loaded transmission line network by L. M. Galeev

“…On the basis of obtained results, the author was able to identify the main aspects that may be useful in modeling and predicting the electromagnetic processes occurring in linearly loaded conductors, power supply and / or data transmission systems.…”
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Self-Supervised Sensor Learning and Its Application: Building 3D Semantic Maps Using Terrain Classification by Chuho Yi, Donghui Song, Jungwon Cho

“…It learns about the surrounding environment using a support vector machine with the stored data, which is divided into terrains where people or vehicles have moved and other regions. …”
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Forecast Model of TV Show Rating Based on Convolutional Neural Network by Lingfeng Wang

“…At present, convolutional neural networks have become a research hotspot in speech recognition, image recognition and classification, natural language processing, and other fields and have been widely and successfully applied in these fields. …”
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BanglaNewsClassifier: A machine learning approach for news classification in Bangla Newspapers using hybrid stacking classifiers. by Tanzir Hossain, Ar-Rafi Islam, Md Humaion Kabir Mehedi, Annajiat Alim Rasel, M Abdullah-Al-Wadud, Jia Uddin

“…This study utilized a dataset of 118,404 Bangla news articles, applying rigorous feature extraction techniques including TF-IDF vectorization and word2Vec embeddings. Our best-performing model, a stacking meta-classifier combining bidirectional long short-term memory and support vector machine, achieved a remarkable 94% accuracy, leaving all basic models' performance behind. …”
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Heterologous expression of the Stellaria media plant defensin SmD1 in Escherichia coli by Yiyi Qiu, Qiaozhi Song

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Machine learning via DARTS-Optimized MobileViT models for pancreatic Cancer diagnosis with graph-based deep learning by Yusuf Alaca

“…Subsequently, the graph representations were processed using MobileViT models that had been optimised with Differentiable Architecture Search (DARTS), thereby enabling dynamic architectural adaptation. …”
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СТРУКТУРНЫЕ ДИСПРОПОРЦИИ КАК УГРОЗА ЭКОНОМИЧЕСКОЙ БЕЗОПАСНОСТИ РОССИИ by N. V. Osokina, E. V. Slesarenko

“…Results: basing on the analysis of scientific economic literature and statistical data, the historical background is revealed of the emergence of structural disproportions in the Russian economy, the origins of which had been laid long before the formation of the USSR and tended to strengthen during the Soviet period, and later during the period of transformation processes that swept the country at the turn of XX-XXI centuries; the influence of structural disproportions on the security of the Russian economy was described, which can be interpreted as a threat, characterized by a complete de-industrialization of the economy, reduction of innovation development, degradation of economic base and scientific potential, increasing dependence on vital consumer and industrial goods; there is a need to change the vector of socio-economic development of Russia and form a new model of structural modernization. …”
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Optimizing machine learning for enhanced automated ECG analysis in cardiovascular healthcare by Keyi Tang, Shuyuan Ma, Xiaohui Sun, Dongfang Guo

“…This study explores the use of machine learning and deep learning algorithms, including Support Vector Classifier (SVC), RandomForest, XGBoost, and LinearSVC, for ECG classification, aiming to improve accuracy and diagnostic capabilities. …”
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Construction of a sugar and acid content estimation model for Miliang-1 kiwifruit during storage by LIU Li, YANG Tianyi, DONG Congying, SHI Caiyun, SI Peng, WEI Zhifeng, GAO Dengtao

“…This technology not only simplifies the assessment process but also reduces costs and preserves the integrity of the fruit samples. …”
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Evaluation method of e-government audit information based on big data analysis by Jingui He, Hansi Ya

“…With the continuous growth of e-government data, traditional audit methods face increasing limitations in handling large-scale data, leading to low processing efficiency and insufficient accuracy. To address these challenges, this paper proposes a big data-driven evaluation and prediction model for e-government audit information. …”
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Downscaling of Soil Moisture Map using Sentinel Radar Satellite Images and Distribution Analysis in the West of Iran by Seyed Hossein Mirmosavi, kohzad Raispour, Muhammad Kamangar

“…The micro-scale backup machine vector algorithm and the high volume resolution soil moisture dispersion map were estimated between 0.18 and 0.46 b. …”
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Molecular mechanism of DdSOC1 gene regulating flower bud initiation in Diospyros deyangensis by WAN Jianqi, DING Yu, REN Han, LI Wenxia, YANG Yong, HUANG Jinmeng, GUAN Changfei

“…The SOC1 protein and interaction proteins MIOX, JOINTLESS, AGL14, NOVEIN, UBC7 and GL2 in D. deyangensis were evaluated based on the results of the yeast two-hybrid. The pSPYCE (CE) vector of putative interacting proteins and the pSPYNE (NE) vector of DdSOC1 were constructed. …”
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PixelQuery: Efficient Distance Range Join Query Technique for Visualization Analysis by Bo Pang, Zebang Liu, Wei Xiong, Mengyu Ma

“…Experiments conducted on datasets of varying scales demonstrate that this method can handle visualization queries involving tens of millions of elements on a standard laptop, with a maximum processing time of only 7.64 s. This technology provides a robust solution for rapid DRJQ processing and the visualization of large-scale vector data, offering promising potential for a diverse range of applications.…”
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A robust covariate‐invariant gait recognition based on pose features by Anubha Parashar, Apoorva Parashar, Rajveer Singh Shekhawat

“…The proposed data set is used to train a classification model to predict the person in a new video by first processing it to get its identification vector and then to use it as a test case in the classification model. …”
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Dielectric Relaxation Spectroscopy in Synthetic Rubber Polymers: Nitrile Butadiene Rubber and Ethylene Propylene Diene Monomer by Young Il Moon, Jae Kap Jung, Ki Soo Chung

“…In the high-temperature region, we found Maxwell–Wagner–Sillars (MWS) relaxation associated with polymer interfacing and normal-mode (α’) relaxation responsible for end-to-end dipole vector motion. The activation energies of schematic molecular chains responsible for the relaxation processes were obtained with the information about its motional mode. …”
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Performance of TF-IDF for Text Classification Reviews on Google Play Store: Shopee by Najwa Umaira Che Mohd Safawi, Nur Amalina Shafie

“…The methodology entails pre-processing the text data by applying a text normalization procedure that includes several processes, such as eliminating stop words, Unicode characters, and lemmatizing. …”
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SmartCardio: Advancing cardiac risk prediction through Internet of Things and edge cloud intelligence by S. Durga, Esther Daniel, J. Andrew, Radhakrishna Bhat

“…It consists of two main phases: data acquisition, where sensors measure heart rate, temperature, and blood pressure, and data processing, where the edge cloud processes the data using Haar Wavelet transform, Convolutional Neural Network (CNN), and transfer learning. …”
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