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

“…<h4>Background</h4>Membrane proteins play a key role in many fundamental cellular processes such as transport of nutrients, sensing of environmental signals and energy transduction, and account for over 50% of all known drug targets. …”
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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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Federated Learning Enhanced MLP–LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction by Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni

“…To guarantee data consistency and quality, pre-processing methods including linear interpolation and Z-score normalization are used. …”
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Ultrasound super resolution imaging for accurate uterus tumor detection and malignancy prediction by Ashwini Sawant, Sujata Kulkarni, Milind Sawant

“…Ultrasound pictures can be processed using methods including denoising, enhancement, segmentation, and feature extraction to get around these restrictions and boost their quality. …”
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A Fourfold Bi-Filter and Permuted Bi-Quad-Wrapper Feature Selection Method for Finding Optimal Moments of Multi-Trajectory Transient Records in Transient Analysis by Seyed Alireza Bashiri Mosavi, Omid Khalaf Beigi

“…The results show that F2FP2QW has a prediction accuracy of 98.87 % and a processing time of 102.587 milliseconds for transient stability prediction.…”
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Machine Learning Methods for Evaluation of Technical Factors of Spraying in Permanent Plantations by Vjekoslav Tadić, Dorijan Radočaj, Mladen Jurišić

“…The data from the field research were processed using four machine learning models: quantile random forest (QRF), support vector regression with radial basis function kernel (SVR), Bayesian Regularization for Feed-Forward Neural Networks (BRNN), and Ensemble Machine Learning (ENS). …”
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Contextual Deep Semantic Feature Driven Multi-Types Network Intrusion Detection System for IoT-Edge Networks by Shaho Hassen, Ahmed Abdlrazaq

“…Subsequently, the node’s dynamic features including the node’s address, packet size, transmission behavior, etc., are processed for Word2Vec encoding, followed by a cascaded deep network-based learning and prediction. …”
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Category-Based Sentiment Analysis of Sindhi News Headlines Using Machine Learning, Deep Learning, and Transformer Models by Safdar Ali Soomro, Siti Sophiayati Yuhaniz, Mazhar Ali Dootio, Ghulam Mujtaba, Jawaid Ahmed Siddiqui

“…Despite significant progress in natural language processing (NLP), low-resource languages, particularly Sindhi, remain underexplored due to the lack of computational tools and annotated datasets. …”
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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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Classical and machine learning tools for identifying yellow-seeded Brassica napus by fusion of hyperspectral features by Fan Liu, Fang Wang, Zaiqi Zhang, Liang Cao, Jinran Wu, You-Gan Wang

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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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Influence of sex hormones on DNA content and cystathionine-γ-lyase expression in rat myocardium by A. V. Melnik, N. V. Zaichko, I. L. Chereshnyuk, О. А. Khodakіvskyi, O. А. Haiduk

“…H2S content in heart was evaluated by spectrophotometry. Statistical processing of the obtained results was performed using standard methods by applying the software package MS Excel and Statistica SPSS 10.0 for Windows. …”
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Probiotics against pathogenic bacteria and cancer by V. A. Belyavskaya, N. V. Cherdyntseva, N. V. Litviakov, A. A. Ponomaryova, E. V. Udut

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Comparative Analysis of Machine Learning Techniques for Predicting Bulk Specific Gravity in Modified Asphalt Mixtures Incorporating Polyethylene Terephthalate (PET), High-Density P... by Bhupender Kumar, Navsal Kumar, Rabee Rustum, Vijay Shankar

“…A predictive modeling approach was employed to estimate the bulk-specific gravity (G_mb) of asphalt concrete using various ML techniques, including Artificial Neural Networks (ANNs), Support Vector Machines (SVMs), Gaussian Processes (GPs), and Reduced Error Pruning (REP) Tree. …”
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ANALYSIS OF UKRAINE’S COMPETITIVENESS: PROBLEMS AND PROSPECTS OF EUROPEAN INTEGRATION by Oleksandr A. Zadoia, Artem M. Novikov

“…However, the uncertainty and constant change of the vector of economic integration together with the change of power led to the deterioration of the state’s economic condition and made sustainable economic growth impossible. …”
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Enhancing seizure detection with hybrid XGBoost and recurrent neural networks by Santushti Santosh Betgeri, Madhu Shukla, Dinesh Kumar, Surbhi B. Khan, Muhammad Attique Khan, Nora A. Alkhaldi

“…This study investigates machine learning and deep learning algorithms for seizure prediction, comparing their effectiveness on a large EEG dataset of epileptic patients. Signal processing techniques were applied to enhance data quality, and all models were trained on the same dataset for binary classification. …”
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Mapping the Normalized Difference Vegetation Index for the Contiguous U.S. Since 1850 Using 391 Tree-Ring Plots by Hang Li, Ichchha Thapa, Shuang Xu, Peisi Yang

“…Current satellites do not provide historical vegetation density images over the long term (more than 50 years), which has restricted the documentation of key ecological processes and their resultant responses over decades due to the absence of large-scale and long-term monitoring studies. …”
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The Nomadic Military Burial with a Bronze Cauldron from the Necropolis of Perevolochan 1 in the Southern Urals by Sergey V. Demidenko, Sergey V. Sirotin

“…In addition, the role of the materials in understanding cultural and historical processes in the steppe zone of the Southern Urals in the middle of the 1st millennium BC is of particular relevance. …”
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Method for Automatic Determination of a 3D Trajectory of Vehicles in a Video Image by I. G. Zubov, N. A. Obukhova

“…The main task in video image processing is to analyse the environment as a 3D scene. …”
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Wearable Regionally Trained AI-Enabled Bruxism-Detection System by Anusha Ishtiaq, Jahanzeb Gul, Zia Mohy Ud Din, Azhar Imran, Khalil El Hindi

“…The EMG signals&#x2019; data of 30 regional subjects, with 5 trials each, have been acquired and pre-processed using filters and three data oversampling techniques, SMOTE, SMOTE-ENN, and ADSYN. …”
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