Equi‐MOI ratio for rapid baculovirus‐mediated multiprotein co‐expression in insect cells integrating selenomethionine for structural studies by Andrej Bitala, Mário Benko, Marek Nemčovič, Ivana Nemčovičová

“…Although AI‐enhanced tools, such as AlphaFold, have revolutionized protein structure prediction, solving the phase problem remains the most significant challenge in X‐ray crystallography for determining entirely novel, dynamic, or complex protein structures. …”
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Recent Developments in the Use of Covalent Organic Frameworks for Photocatalytic Water Decontamination by Víctor Cepa-López, Miguel Sánchez-Fuente, Alicia Moya, Rubén Mas-Ballesté

“…This review explores the structural features that govern the photocatalytic activity of COFs, including conjugation, bandgap modulation, and donor–acceptor structures. …”
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Quantum Variational vs. Quantum Kernel Machine Learning Models for Partial Discharge Classification in Dielectric Oils by José Miguel Monzón-Verona, Santiago García-Alonso, Francisco Jorge Santana-Martín

“…The captured images were processed in a Scikit-image environment to obtain a reduced number of features or qubits for later training of quantum circuits. …”
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CNN-based state prediction for a varying number of storage in economic dispatch by Xiang Pan, Wei Lin, Linze Yang, Yanfang Mo

“…Such an architecture effectively extracts multi-scale features through multiple convolutional layers, pooling, and upsampling operations. …”
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Effects of Distiller’s Grains Biochar and <i>Lactobacillus plantarum</i> on the Remediation of Cd-Pb-Zn-Contaminated Soil and Growth of Sorghum-Sudangrass by Guangxu Zhu, Yufeng Li, Dandan Cheng, Rongkun Chen, Yunyan Wang, Qiang Tu

“…Biochar and microbial inoculants have emerged as a promising approach to solving this problem, and previous studies have focused more on the remediation effects of single types of materials on heavy metal soil pollution. …”
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Global Environmental Geochemistry and Molecular Speciation of Heavy Metals in Soils and Groundwater from Abandoned Smelting Sites: Analysis of the Contamination Dynamics and Remedi... by Hang Xu, Qiao Han, Muhammad Adnan, Mengfei Li, Mingshi Wang, Mingya Wang, Fengcheng Jiang, Xixi Feng

“…Abandoned smelting sites in karst terrain pose a serious environmental problem due to the complex relationship between specific hydrogeological elements and heavy metal contamination. …”
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Ensemble Learning with Multiclassifiers on Pediatric Hand Radiograph Segmentation for Bone Age Assessment by Rui Liu, Yuanyuan Jia, Xiangqian He, Zhe Li, Jinhua Cai, Hao Li, Xiao Yang

“…We considered the hand segmentation task as a classification problem. The optimal segmentation threshold for each image was regarded as the prediction target. …”
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Comparison of Analysis and Spectral Nudging Techniques for Dynamical Downscaling with the WRF Model over China by Yuanyuan Ma, Yi Yang, Xiaoping Mai, Chongjian Qiu, Xiao Long, Chenghai Wang

“…To overcome the problem that the horizontal resolution of global climate models may be too low to resolve features which are important at the regional or local scales, dynamical downscaling has been extensively used. …”
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Travel Time Prediction in a Multimodal Freight Transport Relation Using Machine Learning Algorithms by Nikolaos Servos, Xiaodi Liu, Michael Teucke, Michael Freitag

“…Using different combinations of features derived from the data, we have built several models for travel time prediction. …”
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EARLY NEOPROTEROZOIC GRANITOIDS IN THE RYAZANOVSKY MASSIF OF THE YENISEI RIDGE AS INDICATORS OF THE GRENVILLE OROGENY AT THE WESTERN MARGIN OF THE SIBERIAN CRATON by A. D. Nozhkin, O. M. Turkina, I. I. Likhanov, Yu. L. Ronkin

“…Studies of the geological history of the Yenisei Ridge are important not only for understanding the tectonic evolution of mobile belts at the boundaries of ancient cratons but also for problem solving whether the Siberian craton was a part of the Rodinia supercontinent. …”
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Application of a Latent Diffusion Model to Plant Disease Detection by Generating Unseen Class Images by Noriyuki Mori, Hiroki Naito, Fumiki Hosoi

“…Image-to-image generation was utilized to preserve the original healthy leaf features, which enabled the appropriate image generation of diseased apple leaves. …”
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An Oxygenated Layer Coating to Enhance the Healing Process of Non-Healing Wounds—A Case Report by Tomasz Miłek, Anna Grzeczkowicz, Agata Lipko, Maria Mesjasz, Leszek Oklesiński, Angelika Kwiatkowska, Marcin Strawski, Monika Drabik, Ludomira H. Granicka

“…The ever-increasing problem of chronic, non-healing wound treatment is a challenge in contemporary medicine. …”
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A Wide and Weighted Deep Ensemble Model for Behavioral Drifting Ransomware Attacks by Umara Urooj, Bander Ali Saleh Al-rimy, Mazen Gazzan, Anazida Zainal, Eslam Amer, Mohammed Almutairi, Stavros Shiaeles, Frederick Sheldon

“…To consider the behavioral drifting problem of ransomware attacks, a model should be able to generalize the behavior of significant features comprehensively. …”
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Facile synthesis of NiMn2O4/ZnMn2O4 heterostructure nanocomposite for visible-light-driven degradation of methylene blue dye by Khaled Fahmi Fawy, Muhammad Faheem Ashiq, F. F. Alharbi, Sumaira Manzoor, Mehar Un Nisa, Muhammad Ibrahim, Muhammad Tahseen Nawaz Khan, Mouslim Messali, Adeel Hussain Chughtai, Muhammad Naeem Ashiq

“…Nowadays, waste discharge and contaminants in drinking water have emerged as a significant global problem. Therefore, it is necessary to remove these pollutants from the water and photocatalysis is the best technique for this purpose. …”
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Seismic phase recognition model with low SNR based on U-net by Jianxian Cai, Zhongjie Sun, Mengying Zhang, Fenfen Yan, Li Wang, Ling Li

“…Aiming at the problem of low recognition accuracy and high missed detection rate of seismic phase recognition of low signal-to-noise ratio seismic signals, a new seismic phase recognition model UBAN (U-net-Bidirectional Gated Recurrent Unit-Attention Network) is designed based on U-net neural network framework, combined with Bi-GRU bidirectional gated recurrent unit and Attention attention mechanism. …”
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Semantic-BERT and semantic-FastText model for education question classification by Teotino Gomes Soares, Azhari Azhari, Nur Rohkman

“…However, most existing models suffer from limited semantic accuracy, particularly when dealing with complex or ambiguous education queries. The problem lies in their reliance on surface-level features, such as keyword matching, which hampers their ability to capture deeper syntactic and semantic relationship in question. …”
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WideHRNet: An Efficient Model for Human Pose Estimation Using Wide Channels in Lightweight High-Resolution Network by Esraa Samkari, Muhammad Arif, Manal AlGhamdi, Mohammed A. Al Ghamdi

“…Therefore, we present an efficient network that can estimate small joints by capturing more features by increasing the network&#x2019;s channels. …”
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Typology of Leadership Styles Depending on the Nature of Decision-Making and Business/Person Orientation by A. A. Galiakberova, A. G. Mukhametshin, S. P. Dyrin, N. M. Asratyan, I. V. Kornilova, R. M. Galiev

“…The results obtained show that this methodology helps to reveal most efficiently the features of management at modern Russian enterprises. …”
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APMAT analysis reveals the association between CD8 T cell receptors, cognate antigen, and T cell phenotype and persistence by Jingyi Xie, Daniel G. Chen, William Chour, Rachel H. Ng, Rongyu Zhang, Dan Yuan, Jongchan Choi, Michaela McKasson, Pamela Troisch, Brett Smith, Lesley Jones, Andrew Webster, Yusuf Rasheed, Sarah Li, Rick Edmark, Sunga Hong, Kim M. Murray, Jennifer K. Logue, Nicholas M. Franko, Christopher G. Lausted, Brian Piening, Heather Algren, Julie Wallick, Andrew T. Magis, Kino Watanabe, Phil Mease, Philip D. Greenberg, Helen Chu, Jason D. Goldman, Yapeng Su, James R. Heath

“…Abstract Elucidating the relationships between a class I peptide antigen, a CD8 T cell receptor (TCR) specific to that antigen, and the T cell phenotype that emerges following antigen stimulation, remains a mostly unsolved problem, largely due to the lack of large data sets that can be mined to resolve such relationships. …”
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Integrate Question Information With Learning Behavior for Knowledge Tracing by Sheng Su, Pingfei Zeng, Chunhua Kang, Tao Xin

“…While traditional approaches such as Bayesian Knowledge Tracing and Deep Knowledge Tracing have established a solid foundation in this field, previous research often overlooked the complex interactions between problem features and learner behaviors. To address this gap, this paper introduces the Knowledge Tracking Model for Integrating Question Information and Learning Behaviour (IQILB-KT), a novel framework that enhances the precision of knowledge tracing in online educational systems. …”
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