Roman urdu hate speech detection using hybrid machine learning models and hyperparameter optimization by Waqar Ashiq, Samra Kanwal, Adnan Rafique, Muhammad Waqas, Tahir Khurshaid, Elizabeth Caro Montero, Alicia Bustamante Alonso, Imran Ashraf

“…Results demonstrate that the Multilingual BERT (MBERT) feature learner, paired with a Support Vector Machine (SVM) classifier and optimized using RS, achieves state-of-the-art performance. …”
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Antimicrobial Activity and Phytochemical Profiling of Natural Plant Extracts for Biological Control of Wash Water in the Agri-Food Industry by Piotr Kanarek, Barbara Breza-Boruta, Marcin Stocki

“…Water used in cleaning processes within the agri-food industry can be a vector for post-harvest contaminants, thus contributing to cross-contamination. …”
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Vaccine-induced immune thrombotic thrombocytopenia: definition, risks with different vaccines, and regulatory responses by S. V. Akinshina, V. O. Bitsadze, J. Kh. Khizroeva, K. N. Grigorieva, E. V. Slukhanchuk, M. V. Tretyakova, V. I. Tsibizova, I. Elalamy, J.-C. Gris, B. Brenner, E. Grandone, C. Ay, A. D. Makatsariya

“…After the vaccination campaign initiation in Europe and the UK, reports of rare cases of atypical thrombosis, including sinus vein thrombosis and splanchnic venous thrombosis, began to appear in association with the use of vector vaccines AstraZeneca (ChAdOx1) and Johnson & Johnson/Janssen. …”
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Evaluation of Sentinel-2 Deep Resolution 3.0 Data for Winter Crop Identification and Organic Barley Yield Prediction by Milen Chanev, Ilina Kamenova, Petar Dimitrov, Lachezar Filchev

“…With the use of three-date spectral band stacks, the Random Forest (RF) and Support Vector Classification (SVC) methods were used to differentiate between wheat, barley, and rapeseed. …”
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Change of the geopolitical choice of independent Ukraine (current historical aspect) by Bogdan Levyk

“…The paper looks into the processes and conditions which led to the change of the geopolitical vector of Ukraine in the second decade of the 21st century. …”
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How math shapes the world of life science animation by Rafael Oliveira, Evellyn Araujo Dias, Evellyn Araujo Dias, Ricardo Santos, Ricardo Santos, Vinicius Cotta-De-Almeida, José Aguiar Coelho Nt, José Aguiar Coelho Nt, José Aguiar Coelho Nt, Luiz Anastácio Alves

“…With the advances in technology, it is noticeable the educational potential of animation in the field of cell biology, physiology and other basic life science disciplines, revolutionizing the learning process in science. This paper elucidates the role of matrix manipulation in animating figures on screens, elucidates the distinctions between Scalable Vector Graphics (SVG), bitmap and raster images, and unveils the inner workings of the Bresenham algorithm in the context of rendering lines on screens. …”
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D₂X: Depression Detection System Through X Using Hybrid Machine Learning by Thara Angskun, Suda Tipprasert, Atitthan Thippongtorn, Jitimon Angskun

“…The <inline-formula> <tex-math notation="LaTeX">$D_{2}\mathbb {X}$ </tex-math></inline-formula> processes various types of tweets, including text messages, emoticons, and images, using a hybrid machine learning approach that combines support vector machine and random forest techniques. …”
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Testing the Applicability and Transferability of Data-Driven Geospatial Models for Predicting Soil Erosion in Vineyards by Tünde Takáts, László Pásztor, Mátyás Árvai, Gáspár Albert, János Mészáros

“…Soil loss was formerly modeled by USLE, thus providing non-observation-based reference datasets for the calibration of parcel-specific prediction models using various ML methods (Random Forest, eXtreme Gradient Boosting, Regularized Support Vector Machine with Linear Kernel), which is a well-established approach in digital soil mapping (DSM). …”
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Quantifying the Geomorphological Susceptibility of the Piping Erosion in Loess Using LiDAR-Derived DEM and Machine Learning Methods by Sisi Li, Sheng Hu, Lin Wang, Fanyu Zhang, Ninglian Wang, Songbai Wu, Xingang Wang, Zongda Jiang

“…Soil piping erosion is an underground soil erosion process that is significantly underestimated or overlooked. …”
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Machine learning models for estimating the overall oil recovery of waterflooding operations in heterogenous reservoirs by Sayed Gomaa, Ahmed Ashraf Soliman, Mohamed Mansour, Fares Ashraf El Salamony, Khalaf G. Salem

“…In this paper, four machine learning models: artificial neural network (ANN), Random Forest (RF), K-Nearest Neighbor (K-NN), and Support Vector Machine (SVM) are applied to estimate the overall oil recovery (R) of water flooding. …”
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Scalar-on-Function Mode Estimation Using Entropy and Ergodic Properties of Functional Time Series Data by Mohammed B. Alamari, Fatimah A. Almulhim, Ibrahim M. Almanjahie, Salim Bouzebda, Ali Laksaci

“…The new proposed estimator is constructed under an ergodicity assumption, which provides a robust alternative to the standard mixing processes in various practical settings. The particular interest of this contribution arises from the difficulty in incorporating the mathematical properties of a functional mixing process. …”
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An efficient strategy for small-scale screening and production of archaeal membrane transport proteins in Escherichia coli. by Pikyee Ma, Filipa Varela, Malgorzata Magoch, Ana Rita Silva, Ana Lúcia Rosário, José Brito, Tânia Filipa Oliveira, Przemyslaw Nogly, Miguel Pessanha, Meike Stelter, Arnulf Kletzin, Peter J F Henderson, Margarida Archer

“…Overproduction of transporters was evaluated with three vectors (pTTQ18, pET52b, pWarf) and two Escherichia coli strains (BL21 Star and C43 (DE3)). …”
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METHODOLOGICAL APPROACHES TO THE DETERMINATION OF CHEMORESISTANCE OF HUMAN CANCER CELLS TO ANTI-CANCER DRUGS by K. I. Kirsanov, K. A. Kuzin, T. I. Fetisov, E. A. Lesovaya, G. A. Belitskiy, M. G. Yakubovskaya

“…Over the past half century of using the experimental testing of tumor cell resistance in order to personalize chemotherapeutic treatment, the evolution of methodological approaches was based on the increase in their safety and sensitivity through the use of fluorescent compounds. The general vector for improving experiments on the personalization of tumor chemotherapy is aimed at approximating the experimental conditions to the processes occurring in the human body. …”
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SHM System for Composite Material Based on Lamb Waves and Using Machine Learning on Hardware by Gracieth Cavalcanti Batista, Carl-Mikael Zetterling, Johnny Öberg, Osamu Saotome

“…To process the complex Lamb wave signals, the system incorporates well-known signal processing (DSP) techniques, including power spectrum density (PSD), wavelet transform, and Principal Component Analysis (PCA), for noise reduction, feature extraction, and data compression. …”
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Machine learning applications in risk management: Trends and research agenda [version 2; peer review: 2 approved, 1 approved with reservations] by Erica Agudelo-Ceballos, Diana Marleny Ramírez-Ramírez, Ezequiel Martínez Rojas, Julio Leyrer Henríquez, Aarón José Alberto Oré León, Jesus Alberto Jimenez Garcia, Alejandro Valencia-Arias

“…Key terms include random forest, support vector machines (SVM), and credit risk assessment, while terms such as prediction, postpartum depression, big data, and security emerge as new areas of study. …”
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Observations and Modeling Studies of Solar Eclipse Effects on Oblique High Frequency Radio Propagation by M. L. Moses, L. J. Kordella, G. D. Earle, D. Drob, J. D. Huba, J. M. Ruohoniemi, S. G. Shepherd, V. Sivakumar

“…In order to investigate the underlying processes governing the ionospheric eclipse response, we use a ray‐tracing code to simulate SuperDARN data in conjunction with different eclipsed ionosphere models. …”
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Molecular Characterization of Agents of Cutaneous Leishmaniasis in Dutsin-Ma Local Government Area of Katsina State, Northwestern, Nigeria by Enimie, O. E., Umar, Y. A., Sani, A. M., Nkechi, E. L., Sherifat, A-B, B.

“…The dixenous life cycle of Leishmania species consists of the vertebrate and vector stages resulting in the differentiation of metabolic processes, morphological forms, and remodelling of genes in the parasite. …”
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Leukocyte index of intoxication according to V. K. Ostrovskii as a criterion for assessing bacterial infection by M. I. Gromov, A. V. Rysev, Yu. F. Zhuravlev, L. P. Pivovarova, O. B. Ariskina, E. V. Markelova

“…The calculation of LII according to Ostrovsky or its simplified version without taking into account plasma cells (neutrophils + immature granulocytes)/(lymphocytes + monocytes + eosinophils + basophils) is appropriate and easily applicable in wide clinical practice for assessing a bacterial infection and the development vector of an infectious process.…”
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Spatial Quantum Beating of Adjustable Biphoton Frequency Comb With High-Dimensional Frequency-Bin Entanglement by Rong Xue, Xin Yao, Xu Liu, Heqing Wang, Hao Li, Zhen Wang, Lixing You, Yidong Huang, Wei Zhang

“…In this paper, we realize an adjustable biphoton frequency comb and investigate its spatial quantum beating. Vector spontaneous four wave mixing processes in a piece of dispersion shifted fiber are produced by non-degenerate continuous wave pump lights with orthogonal polarizations to generate broadband biphoton states, and then a pulse shaper is used to realize the biphoton frequency comb with high-dimensional frequency-bin entanglement. …”
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Signatures of Six Autophagy‐Related Genes as Diagnostic Markers of Thyroid‐Associated Ophthalmopathy and Their Correlation With Immune Infiltration by Qintao Ma, Yuanping Hai, Jie Shen

“…Conclusions We identified several biological processes and pathways for the enrichment of AR‐DEGs. …”
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