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{"title":"Cover Image, Volume 40, Issue 15","authors":"","doi":"10.1111/mice.13529","DOIUrl":"https://doi.org/10.1111/mice.13529","url":null,"abstract":"<p><b>The cover image</b> is based on the article <i>Aeroelastic force prediction via temporal fusion transformers</i> by Miguel Cid Montoya et al., https://doi.org/10.1111/mice.13381.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":156,"journal":{"name":"Computer-Aided Civil and Infrastructure Engineering","volume":"40 15","pages":""},"PeriodicalIF":8.5,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/mice.13529","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144237319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Graph Representation Learning-Based Method for Event Prediction","authors":"Xi Zeng,&nbsp;Guangchun Luo,&nbsp;Ke Qin,&nbsp;Pengyi Zheng","doi":"10.1049/ise2/9706647","DOIUrl":"https://doi.org/10.1049/ise2/9706647","url":null,"abstract":"<div>\u0000 <p>With the continuous advancement of big data and artificial intelligence technologies, event prediction is increasingly being utilized across a multitude of domains. Predicting events allows for the exploration of the developmental trajectories and summarization of patterns associated with these events. However, events typically encompass a myriad of elements and intricate relationships, necessitating an enhancement in the precision of event prediction. However, the existing methods suffer from poor data quality, insufficient feature information, limited generalization capability of the models, and difficulties in evaluating prediction errors. This paper proposes a novel event prediction method based on graph representation learning, aiming to improve the accuracy of event prediction while reducing the time cost. By constructing causal graphs and introducing the script event simulation method, the architecture combines graph neural networks (GNNs) with BERT to simplify the event prediction process. Additionally, by combining GNNs with pretrained language models, a dynamic graph representation learning method is proposed. This means that a unified graph representation learning model can be built by following specific rules, thus predicting the development trajectory of events more accurately. The study evaluates the effectiveness of dynamic graph representation learning technology in a specific scenario, specifically in the context of employee career choices. By converting the career graph of employees into low-dimensional representations, the effectiveness of the dynamic graph representation learning method in predicting employee career decisions is validated. This innovation not only improves the accuracy of event prediction but also helps better understand and respond to complex event relationships in practical applications, providing decision-makers with more powerful information support. Therefore, this research has important theoretical and practical significance, providing valuable references for future studies in related fields.</p>\u0000 </div>","PeriodicalId":50380,"journal":{"name":"IET Information Security","volume":"2025 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ise2/9706647","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144237315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Top advances of the year: The status of chimeric antigen receptor T cells in neuro-oncology","authors":"Ravi Medikonda MD,&nbsp;Matthew A. Abikenari MS,&nbsp;Ethan Schonfeld MS,&nbsp;Michael Lim MD","doi":"10.1002/cncr.35935","DOIUrl":"https://doi.org/10.1002/cncr.35935","url":null,"abstract":"","PeriodicalId":138,"journal":{"name":"Cancer","volume":"131 12","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144237318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cover Image, Volume 40, Issue 15","authors":"","doi":"10.1111/mice.13530","DOIUrl":"https://doi.org/10.1111/mice.13530","url":null,"abstract":"<p><b>The cover image</b> is based on the article <i>Environmental-Aware Deformation Prediction of Water-Related Concrete Structures Using Deep Learning</i> by Hao Gu et al., https://doi.org/10.1111/mice.13513.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":156,"journal":{"name":"Computer-Aided Civil and Infrastructure Engineering","volume":"40 15","pages":""},"PeriodicalIF":8.5,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/mice.13530","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144237303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Novel Approach to Flooding Fault Detection and Risk Assessment in PEM Fuel Cells Using Data-Driven Models","authors":"Meltem Yavuz Çelikdemir","doi":"10.1049/rpg2.70074","DOIUrl":"https://doi.org/10.1049/rpg2.70074","url":null,"abstract":"<p>The reliable and efficient operation of polymer electrolyte membrane fuel cells (PEMFCs) necessitates the implementation of preventive strategies and maintenance protocols to minimize the likelihood of failures. To address this, the study identifies effective diagnostic techniques for detecting faults in PEMFCs. A data-driven approach leveraging machine learning methods is proposed to enhance the detection of flooding faults under varying operational conditions. This approach enables the automatic extraction of fault-related features directly from raw data. Experimental data obtained from an 80 W PEMFC, widely used in the literature for comparability, was utilized in the study. Various machine learning classification algorithms were applied, and their performance metrics were analysed. Among these, the random subspace k-nearest neighbor algorithm demonstrated superior accuracy and the shortest training time, leading to the development of a novel model. The study evaluated 22 variables associated with PEMFCs, performed fault diagnosis, and assessed fault severity. Furthermore, a risk analysis was conducted using the proposed model, enabling the prediction of both the risk level and the probability of fault occurrence as percentages. Key performance metrics, including accuracy, sensitivity, precision, and specificity, were calculated as 99.97%, 99.98%, 99.90%, and 99.98%, respectively, during model validation. During testing, these metrics were recorded as 99.45%, 100%, 98.42%, and 99.16%, respectively.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70074","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144237316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Frontispiece: Self-Optimized Reconstruction of Metal–Organic Frameworks Introduces Cation Vacancies for Selective Electrosynthesis of Hydrogen Peroxide","authors":"","doi":"10.1002/anie.202582401","DOIUrl":"https://doi.org/10.1002/anie.202582401","url":null,"abstract":"<p>In their Research Article (e202501930), Guohua Zhao and co-workers report a novel strategy utilizing the self-optimizing restructuring behavior of MOFs to construct cation vacancies, which effectively suppresses excessive O─O bond cleavage during oxygen activation. This strategy promotes the 2e⁻ pathway for H₂O₂ production (right) over the 4e⁻ pathway generating H₂O (left). By employing a solid-state electrolyte cell, direct synthesis of ultrahigh-concentration H₂O₂ aqueous solution (&gt;8 wt%) is achieved.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":125,"journal":{"name":"Angewandte Chemie International Edition","volume":"64 24","pages":""},"PeriodicalIF":16.1,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/anie.202582401","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144232355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Front Cover: Fused Nitrogen Bridgehead N,O-Acetals as Versatile Scaffolds: Synthetic Strategies, Mechanism and Applications","authors":"Alexis D. Kouvelas,&nbsp;Michael G. Kallitsakis,&nbsp;Ioannis N. Lykakis","doi":"10.1002/chem.202583201","DOIUrl":"https://doi.org/10.1002/chem.202583201","url":null,"abstract":"<p><b>Fused nitrogen-bridgehead <i>N</i>,<i>O</i>-acetals</b> are found as crucial scaffolds in natural products and biologically active compounds, exhibiting notable pharmaceutical potential. The Review by I. N. Lykakis and co-workers (DOI: 10.1002/chem.202500413) explores their synthetic methodologies, underlying mechanisms, and diverse applications, with a focus on the enantioselective synthesis of complex structures, especially hydropyrrolo-oxazole and oxazine derivatives, underscoring their significance in organic synthesis.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":144,"journal":{"name":"Chemistry - A European Journal","volume":"31 32","pages":""},"PeriodicalIF":3.9,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/chem.202583201","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144232495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cover Feature: Biodegradable Gel Blends with Enhanced Sensing Capabilities: SIO₂-Based Innovations for Sustainable and Eco-Friendly Packaging","authors":"Miroslawa Prochon,&nbsp;Oleksandra Dzeikala,&nbsp;Szymon Szczepanik,&nbsp;Natalia Sędzikowska","doi":"10.1002/chem.202583202","DOIUrl":"https://doi.org/10.1002/chem.202583202","url":null,"abstract":"<p><b>The Cover Feature</b> summarizes the core aspects of a study on biodegradable gel blends (GGs) reinforced with modified SiO₂ nanoparticles. It depicts the gel matrix with polypeptide domains and nanosilica distribution, highlighting key interactions (e.g., Si⁺, SiO⁺, SiH⁺, SiHO⁺) that enhance the material's mechanical strength, stability, and biocompatibility. The absence of heavy metals and the potential for sustainable, medical-grade packaging are also emphasized. More information can be found in the Research Article by M. Prochoń and co-workers (DOI: 10.1002/chem.202403335). Artwork by M.P. and O.D.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":144,"journal":{"name":"Chemistry - A European Journal","volume":"31 32","pages":""},"PeriodicalIF":3.9,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/chem.202583202","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144232352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CNN Classifier for Pollution Level in Glass Insulators Operating at High Voltage Alternating Current","authors":"Yuri dos Reis Oliveira,&nbsp;Eduardo Costa da Silva,&nbsp;Carlos Roberto Hall Barbosa","doi":"10.1049/ell2.70327","DOIUrl":"https://doi.org/10.1049/ell2.70327","url":null,"abstract":"<p>This paper aims at developing a level of pollution severity (LPS) classifier for insulators, using a database of corona ultraviolet (UV) images and a computational intelligence algorithm based on convolutional neural networks, considering three different levels of pollution: very weak, weak and moderate. The obtained results show that the developed classifier reached high accuracy (98.57%) and low logarithmic loss values (0.059), indicating that it has a good capability to deal with the proposed classification task.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70327","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144232404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimized Stereo-Electroencephalography-Guided Three-Dimensional Radiofrequency Thermocoagulation for Hypothalamic Hamartomas-Related Epilepsy: A Single-Center Experience in 69 Patients","authors":"Yang Dai,&nbsp;Yihe Wang,&nbsp;Zesheng Li,&nbsp;Xiaotong Fan,&nbsp;Liankun Ren,&nbsp;Josemir W. Sander,&nbsp;Penghu Wei,&nbsp;Yongzhi Shan,&nbsp;Guoguang Zhao","doi":"10.1111/cns.70462","DOIUrl":"https://doi.org/10.1111/cns.70462","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>The high risk of resection surgery for hypothalamic hamartoma (HH) epilepsy drives interest in minimally invasive treatment. Stereo-electroencephalography-guided three-dimensional radiofrequency thermocoagulation (SEEG-3D RFTC) offers an alternative option. We investigated this technology's efficacy, safety, and prognostic risk factors.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Patients with HH who underwent SEEG-3D RFTC were retrospectively analyzed. A high-density focal stereo-array electrode implantation was adopted. SEEG-3D RFTC was performed between two contiguous contacts of the same electrode or adjacent contacts of different electrodes. Outcomes were separately evaluated for clinical seizures, gelastic seizures (GS), and non-gelastic seizures (nGS). Kaplan–Meier survival analysis was used to assess treatment effectiveness. Risk factors were analyzed using log-rank tests and Cox regression analyses.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Sixty-nine patients were enrolled. The mean follow-up was 41.00 ± 18.19 months. Seizure freedom was obtained by 48/69 (69.57%) patients for clinical seizures, 50/62 (80.65%) patients for GS, and 41/54 (75.93%) patients for nGS. Surgical procedures were well tolerated. In this study, the proportion of patients experiencing long-term complications was 10.14%. The percentages of HH ablation (<i>p</i> = 0.003; hazard ratio 0.956, 95% confidence interval 0.928–0.985) and HH attachment ablation (<i>p</i> = 0.001; hazard ratio 0.931, 95% confidence interval 0.892–0.970) were significantly associated with seizure outcomes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Optimized SEEG-3D RFTC is an effective and safe option for HH-related epilepsy and is especially suitable for use where laser interstitial thermal therapy is unavailable. Complete ablation of the HH and attachment site is essential for good outcomes.</p>\u0000 </section>\u0000 </div>","PeriodicalId":154,"journal":{"name":"CNS Neuroscience & Therapeutics","volume":"31 6","pages":""},"PeriodicalIF":4.8,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/cns.70462","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144232361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}