Characterization of the interaction between Rfa1 and Rad24 in Saccharomyces cerevisiae. by Gunjan Piya, Erica N Mueller, Heather K Haas, Padmaja L Ghospurkar, Timothy M Wilson, Jaime L Jensen, Christopher L Colbert, Stuart J Haring

“…Maintaining the integrity of the genome requires the high fidelity duplication of the genome and the ability of the cell to recognize and repair DNA lesions. …”
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PROBLEMS OF USING NEURAL NETWORKS TO PREDICT THE PRICE OF VIRTUAL ASSETS by Andrii Tsemko, Maxym Matskiv

“…Adding additional price characteristics (at the opening, closing, and minimum price during this period) failed to eliminate the problem of forecast bias. The analysis of the results showed that the model is often based on the repetition of previous values, which indicates its limitations in capturing complex relationships in the data. …”
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Transformer Versus LSTM: A Comparison of Deep Learning Models for Karst Spring Discharge Forecasting by Anna Pölz, Alfred Paul Blaschke, Jürgen Komma, Andreas H. Farnleitner, Julia Derx

“…Abstract Karst springs are essential drinking water resources, however, modeling them poses challenges due to complex subsurface flow processes. Deep learning models can capture complex relationships due to their ability to learn non‐linear patterns. …”
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Influence of artificial intelligence on higher education reform and talent cultivation in the digital intelligence era by Limin Qian, Weiran Cao, Lifeng Chen

“…SEOM shows strong stability when dealing with multidimensional educational resources and complex teaching modes. The accuracy rate remains at 85-97%, indicating its reliability in personalized learning path recommendation. …”
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Video swin-CLSTM transformer: Enhancing human action recognition with optical flow and long-term dependencies. by Jun Qin, Shenwei Chen, Zheng Ye, Jing Liu, Zhou Liu

“…Combined with the backbone's 3D Patch Partition and Patch Merging techniques, it efficiently extracts and fuses multi-level features from both optical flow and raw RGB inputs, thereby enhancing the model's ability to capture motion characteristics in complex backgrounds. …”
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Signature-based intrusion detection using machine learning and deep learning approaches empowered with fuzzy clustering by Usama Ahmed, Mohammad Nazir, Amna Sarwar, Tariq Ali, El-Hadi M. Aggoune, Tariq Shahzad, Muhammad Adnan Khan

“…Deep learning models LSTM and ANN rapidly find long-term and complex pattern in network data. It is extremely effective when dealing with complex intrusions since it is characterised by high precision, accuracy and recall.Based on our study, SVM and Random Forest are considered promising solutions for real-world IDS applications because of their versatility and explainability. …”
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Design of real-time transmission system for underwater panoramic camera based on RTSP. by Wenhui Wang, Yongqi Li, Rufei He

“…The underwater environment is complex and variable, with limited transmission bandwidth and strong clutter and interference signals, which make the collected images susceptible to adverse effects such as attenuation and diffusion, resulting in image signal transmission congestion. …”
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Digital Twins Generated by Artificial Intelligence in Personalized Healthcare by Marian Łukaniszyn, Łukasz Majka, Barbara Grochowicz, Dariusz Mikołajewski, Aleksandra Kawala-Sterniuk

“…Support for this form of personalized medicine is necessary due to the complex technological challenges, regulatory perspectives, and complex issues of security and trust in this approach. …”
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The Innovative Design and Performance Testing of a Mobile Robot for the Automated Installation of Spacers on Six-Split Transmission Lines by Jie Pan, Yongfeng Cheng, Chunhua Hu, Ming Jiang, Yong Ma, Fanhao Meng, Qiang Shi

“…The robots that install two-split and four-split spacer bars cannot be applied to the complex operating conditions of six-split transmission lines. …”
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An Adaptive Local Time-Stepping Method Applied to Storm Surge Inundation Simulation by Pubing Yu, Tao Ji, Xiuguang Wu, Yifan Chen, Guilin Liu

“…In particular, the simulation of the seawater backflow event in Erjiegou demonstrated the method’s ability to capture both the occurrence time and extent of seawater backflow, confirming its efficiency and reliability in complex hydrodynamic processes. …”
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A Semantic Weight Adaptive Model Based on Visual Question Answering by Li Huimin, Li Xuan, Chen Yan

“…” To accomplish this task, computers must not only deeply analyze image content but also precisely comprehend and respond to complex natural language expressions.However, current VQA models often struggle when dealing with questions requiring deep semantic analysis due to their inability to fully capture the semantic information within the questions. …”
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Enhanced light microscopy visualization of virus particles from Zika virus to filamentous ebolaviruses. by George G Daaboul, David S Freedman, Steven M Scherr, Erik Carter, Alexandru Rosca, David Bernstein, Chad E Mire, Krystle N Agans, Thomas Hoenen, Thomas W Geisbert, M Selim Ünlü, John H Connor

“…Strikingly, the technology allows the clear identification of filamentous infectious ebolavirus particles and virus-like particles. The ability to differentiate and quantify unlabeled virus particles extends the usefulness of traditional light microscopy and can be embodied in a straightforward benchtop approach allowing widespread applications ranging from rapid detection in biological fluids to analysis of virus-like particles for vaccine development and production.…”
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Review of surface measurement methods towards nondestructive internal surface assessment by Kwan Zhi Teh, Saikat Medya, Sugandhana Shanmuganathan, Swee Hock Yeo

“…Metal additive manufacturing techniques have enabled the ability to construct complex internal channels, but they create rough surfaces of varying qualities. …”
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Metamaterial-based injection molding for the cost-effective production of whole cuts by Mohammad Ghosheh, Avner Ehrlich, Amit Fischer, Laura Pasitka, Merav Cohen, Yaakov Nahmias

“…Viscoelastic screening of plant proteins identifies mung bean for its ability to stabilize complex oleogel structures, mimicking the mechanics of adipose tissue. …”
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Machine Training of the System of Functional Diagnostics of the Shaft Lifting Machine by Dovbysh A. S., Zimovets V. I., Zuban Y. A., Prikhodchenko A. S.

“…Functional diagnostics necessitates the analysis of a large number of diagnostic features and recognition classes that characterize not only possible mal-functions, but also intermediate technical conditions of nodes and assemblies of a complex ma-chine. …”
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Visualizing interactions along the Escherichia coli twin-arginine translocation pathway using protein fragment complementation. by Jan S Kostecki, Haiming Li, Raymond J Turner, Matthew P DeLisa

“…In addition, BiFC analysis illuminated homo- and hetero-oligomeric complexes of the TatA, TatB and TatC integral membrane proteins that were consistent with the current model of translocase assembly. …”
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Systematic characterization of plant-associated bacteria that can degrade indole-3-acetic acid. by Lanxiang Wang, Yue Liu, Haoran Ni, Wenlong Zuo, Haimei Shi, Weixin Liao, Hongbin Liu, Jiajia Chen, Yang Bai, Hong Yue, Ancheng Huang, Jonathan Friedman, Tong Si, Yinggao Liu, Moxian Chen, Lei Dai

“…In this study, we analyzed the IAA degradation capabilities of bacterial isolates from the roots of Arabidopsis and rice. Using genomics analysis and in vitro assays, we found that 21 out of 183 taxonomically diverse bacterial isolates possess the ability to degrade IAA. …”
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Valued Traits of Physician Leaders: A Comparative Study of First-Year and Final-Year Medical Students’ Perceptions by Sari Huikko-Tarvainen, Timo Tuovinen, Petri Kulmala

“…While both groups valued communication, fairness, approachability, empathy, and professionalism, final-year students placed greater emphasis on decisiveness, authority, and the ability to navigate complex clinical and administrative challenges. …”
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Flexible Adaptive Marine Predator Algorithm and Its Application in Fault Detection for Wind Turbines by WANG Wen, YI Jiabiao

“…With the increasing dimensions of operational data for wind turbines, traditional expert empirical methods, such as fuzzy logic systems and fault tree analysis, struggle to provide accurate fault diagnosis amid high-dimensional complex data. …”
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Study on the Compressive Strength Predicting of Steel Fiber Reinforced Concrete Based on an Interpretable Deep Learning Method by Huiming Wang, Jie Lin, Shengpin Guo

“…The results show that the optimized deep learning model has higher prediction accuracy and generalization ability compared to other traditional ML models. The SHAP analysis results are consistent with the experimental results, and the predictive model well reflects the complex nonlinear relationship between various characteristic parameters, which can provide a basis and reference for the engineering design of SFRC materials.…”
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