Automatic identification of slip pathways in ductile inorganic materials by combining the active learning strategy and NEB method by Jun Luo, Tao Fan, Jiawei Zhang, Pengfei Qiu, Xun Shi, Lidong Chen

“…However, the accurate determination of slip pathways, crucial for understanding the deformation mechanism, still poses a great challenge owing to the complex crystal structures of these materials. In this study, we propose an automated workflow based on the interlayer slip potential energy surface to identify slip pathways in complex inorganic systems. …”
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Deep Reinforcement Learning-Based Distribution Network Planning Method Considering Renewable Energy by Liang Ma, Chenyi Si, Ke Wang, Jinshan Luo, Shigong Jiang, Yi Song

“…Finally, the representative test case is selected to verify the effectiveness of the proposed method, which indicates that the proposed method can improve the efficiency of DNP and promote the digital transformation of DNP.…”
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Taxonomical implications of fruit and seed morphology in wild species of Diospyros L. (Ebenaceae) in Odisha, Eastern India by Sabita Tudu, Jeevan Kumar Jena, Sifan Priyadarshini, Dr. Sudhansu Sekhar Dash, Dr. Sudam Charan Sahu

“…Twenty (20) taxonomically important morphological characters of fruits and seeds were selected to study the similarity and variations among the taxa. …”
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Development and retrospective validation of an artificial intelligence system for diagnostic assessment of prostate biopsies: study protocol by Martin Eklund, Brett Delahunt, Lars Egevad, Hemamali Samaratunga, Mattias Rantalainen, Marcello Gambacorta, Einar Gudlaugsson, Bodil Ginnerup Pedersen, Xiaoyi Ji, Karina Dalsgaard Sørensen, Kelvin Szolnoky, Nita Mulliqi, Anders Blilie, Henrik Olsson, Matteo Titus, Geraldine Martinez Gonzalez, Sol Erika Boman, Masi Valkonen, Svein Reidar Kjosavik, José Asenjo, Paolo Libretti, Marcin Braun, Radzislaw Kordek, Roman Łowicki, Kristina Hotakainen, Päivi Väre, Benedicte Parm Ulhøi, Pekka Ruusuvuori, Toyonori Tsuzuki, Emilius Adrianus Maria Janssen, Kimmo Kartasalo

“…Many pathology departments are also facing an increasingly unsustainable workload due to rising prostate cancer incidence and a decreasing pathologist workforce coinciding with increasing requirements for more complex assessments and reporting. Digital pathology and artificial intelligence (AI) algorithms for analysing whole slide images show promise in improving the accuracy and efficiency of histopathological assessments. …”
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Adaptive neighbourhood for locally and globally tuned biogeography based optimization algorithm by Parimal Kumar Giri, Sagar S. De, Satchidananda Dehuri

“…But, it is realized that adaptation of the intensification and diversification for solving complex optimization problems are challenging tasks. …”
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Advanced solid materials for the extraction of drugs from biological fluids by P. García-Atienza, A. García-Juan, S. Armenta, J.M. Herrero-Martínez, H. Martínez-Pérez-Cejuela

“…The determination of drugs in biological fluids is essential across various fields, including toxicological analysis, pharmacokinetic studies, and the development of new pharmaceutical products, among others. However, the complexity of biological matrices—due to the presence of endogenous compounds and the typically low concentrations of target analytes—needs efficient sample preparation strategies alongside high-performance instrumentation to achieve the sensitivity and selectivity required in modern analytical chemistry. …”
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Advances in the management of posttraumatic stress disorder after critical illness: a narrative review by Evanthia Asimakopoulou, Panagiotis Theodosis-Nobelos, Charalampos Triantis

“…Antidepressants, particularly selective serotonin reuptake inhibitors (SSRIs) and serotonin-norepinephrine reuptake inhibitors (SNRIs), have demonstrated efficiency in alleviating symptoms. 3,4-Methylenedioxymethamphetamine–assisted therapy is the most promising approach, and the results of the clinical trials are encouraging. …”
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The Association between Rainfall and Taxi Travel Activities: A Case Study from Wuhan, China by Rong Chen, Lingjia Liu, Yongping Gao

“…Rainfall altered residents’ travel preferences to some extent, with more residents choosing taxis during rainy weather, which led to decreased transportation efficiency and increased traffic congestion. These findings contribute to a deeper understanding of the complex relationship between population mobility patterns and the urban ecological environment, providing valuable insights for planning resident travel and taxi dispatching under adverse weather conditions.…”
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Data-driven cultural background fusion for environmental art image classification: Technical support of the dual Kernel squeeze and excitation network. by Chenchen Liu, Haoyue Guo

“…A novel Dual Kernel Squeeze and Excitation Network (DKSE-Net) model is proposed for the complex cultural background and diverse visual representation in environmental art images. …”
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Using BWRO for removal of Arsenic III from anaerobic groundwater by A.H. Haidari, T. van Dijk, W.G. Siegers, T. Rijnaarts, E.R. Cornelissen

“…The study explores membrane performance under conditions not extensively addressed before, such as using natural anaerobic groundwater with arsenic concentrations of 70–80 µg/L and examining the effect of sulfide complexation on arsenic rejection. The impact of sodium sulfide and antiscalant on arsenic rejection was investigated, with Na₂S tested as a complexing agent. …”
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RMFKAN: Network Spammers Detection Method Based on Improved Graph Mamba by WANG Yuzhe, YAN Jinghua, BU Fanliang, WANG Yifan, LI Jia, HAN Zhuxuan

“…Specifically, subgraphs are tokenized by the random walk strategy, message passing neural networks are input to independently handle different types of edges, and features are enhanced by KAN improved with Fourier coefficients. The feature matrix is input into Bi-Mamba to improve the ability of capturing long-distance dependencies and effectively reduce training complexity. …”
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Massive MIMO channel estimation and feedback based on compressed sensing by Pan MAO, Xiaoguang HUANG, Wei WANG, Jian SONG

“…Focused on the issue that the problem of low precision of channel estimation and complex feedback scheme in massive MIMO system,a compression sampling matching pursuit (BCC-CoSAMP) algorithm based on coefficient correlation was proposed in the differential channel estimation and feedback scheme.In this algorithm,the inner product of the relationship between two vectors in the CoSAMP algorithm was replaced by the vector relation based on the correlation coefficient,so the atoms with strong correlation of the original signal were quickly selected to improve the accuracy of channel estimation.The simulation results show that the proposed BCC-CoSAMP algorithm has an improved channel estimation accuracy compared with the CoSAMP algorithm and an average increase of the total system rate of 1.25 bit/(s.Hz) at low signal to noise ratio (SNR).…”
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Massive MIMO channel estimation and feedback based on compressed sensing by Pan MAO, Xiaoguang HUANG, Wei WANG, Jian SONG

“…Focused on the issue that the problem of low precision of channel estimation and complex feedback scheme in massive MIMO system,a compression sampling matching pursuit (BCC-CoSAMP) algorithm based on coefficient correlation was proposed in the differential channel estimation and feedback scheme.In this algorithm,the inner product of the relationship between two vectors in the CoSAMP algorithm was replaced by the vector relation based on the correlation coefficient,so the atoms with strong correlation of the original signal were quickly selected to improve the accuracy of channel estimation.The simulation results show that the proposed BCC-CoSAMP algorithm has an improved channel estimation accuracy compared with the CoSAMP algorithm and an average increase of the total system rate of 1.25 bit/(s.Hz) at low signal to noise ratio (SNR).…”
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Blessing of dimensionality in spiking neural networks: the by-chance functional learning by Valeri A. Makarov, Sergey A. Lobov, Sergey A. Lobov

“…It exploits the fundamental trade-off between the complexity and simplicity of statistical sets in high-dimensional spaces without relying on global optimization techniques. …”
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Foundations and Innovations in Data Fusion and Ensemble Learning for Effective Consensus by Ke-Lin Du, Rengong Zhang, Bingchun Jiang, Jie Zeng, Jiabin Lu

“…Additionally, we examine the theoretical foundations of ensemble methods, including bias–variance trade-offs, margin theory, and optimization-based frameworks, while analyzing computational trade-offs related to training complexity, inference efficiency, and storage requirements. …”
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Inversion of Biological Strategies in Engineering Technology: A Case Study of the Underwater Soft Robot by Siqing Chen, He Xu, Xueyu Zhang, Tian Jiang, Zhen Ma

“…Despite its promise, the inherent complexity of biological systems and interdisciplinary knowledge gaps hinder the effective translation of biological principles into practical engineering solutions. …”
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Integrating Blockchains with the IoT: A Review of Architectures and Marine Use Cases by Andreas Polyvios Delladetsimas, Stamatis Papangelou, Elias Iosif, George Giaglis

“…Future research will need to prioritize scalability, energy efficiency, and interoperability for effective BIoT deployment.…”
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The Application of the CIPP Evaluation Model in Educational Programs in Indonesia by M. Zainuddin Alanshori, Ahmad Maulidi, Salman Zahidi, Kusaeri Kusaeri, Suparto Suparto

“…However, challenges include the complexity of mixed-method data analysis and the need for skilled evaluators. …”
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Results of study of long-fiber flax’s collection material by the parameters of economically valuable traits by N. S. Koshcheeva, G. A. Batalova, I. V. Lyskova, S. N. Kraeva

“…Stable and plastic traits are selected according to correlation coefficient. Strong “genotype - environment” interactions were expressed by seed productivity, number of bolls and seed per plant; moderate interactions - by productivity of straw and fiber; weak interactions - by plant length, fiber content, 1000-grain mass. …”
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Personalized Course Recommendation System: A Multi-Model Machine Learning Framework for Academic Success by Md Sajid Islam, A. S. M. Sanwar Hosen

“…The increasing complexity of academic programs and student needs necessitates personalized, data-driven academic advising. …”
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