Continuous improvement on maturity and capability of Security Operation Centres by Cengiz Acartürk, Murat Ulubay, Efe Erdur

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Substantively smart cities – Participation, fundamental rights and temporality by Philipp Hacker, Jürgen Neyer

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Measuring Narrative Visualizations: A Model-Based Evaluation Framework and Validation by Andrea Lezcano Airaldi, Juan Andres Carruthers, Emanuel Irrazabal, Andres Diaz-Pace

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Photoionization of Trans-Fe Ions: Se IV, Se V, and Se VI by Brendan M. McLaughlin, Joern Wilms, James F. Babb

“…The present high quality cross-section data are suitable for use in many applications in astrophysics.…”
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Developing an AI Model That Relies on Mobile Health Devices to Track Heart Activity by Hamdan H. Shehab, Fadi Al-Turjman

“…Utilizing input data sumlation data from temperature, SPo2, heart rate and ECG signal the AI model predicts the individual's health state with a confidence level of 95%. …”
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CAVE Automatic Virtual Environment Technology: A Patent Analysis by Fatma Beji, William de Paula Ferreira, Isabelle Pivotto Dabat, Vitor Matias

“…To address this research gap, we analyzed patents using CAVE to understand the technology’s development and identify opportunities for future research, development, and innovation. Patent data were collected from the Lens database and analyzed using data mining techniques. …”
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Rethinking the 'best method' paradigm: The effectiveness of hybrid and multidisciplinary approaches in chemoinformatics by José L. Medina-Franco, Johny R. Rodríguez-Pérez, Héctor F. Cortés-Hernández, Edgar López-López

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Spatial Deep Learning Approach to Older Driver Classification by Charles Boateng, Seyedeh Gol Ara Ghoreishi, Kwangsoo Yang, Muhammad Tanveer Jan, Ruth Tappen, Jinwoo Jang, David Newman, Sonia Moshfeghi, Kelley Jackson, Rhian Resnick, Borko Furht, Monica Rosselli, Joshua Conniff

“…This paper proposes a novel spatial deep-learning approach that leverages Grid-Index based data augmentation to enhance the detection of abnormal driving behaviors. …”
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Automated Information Systems as a New Approach to Risk Management of Pharmacotherapy in the Treatment of Epilepsy by V. V. Arkhipov, N. I. Burmistrova

“…The aim of the study was to analyse data on the existing information systems, devices, and mobile applications used to support patients with epilepsy and control risks associated with pharmacotherapy, and to assess the prospects for the development of information systems to support patients with epilepsy. …”
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Lightweight sparse optoacoustic image reconstruction via an attention-driven multi-scale wavelet network by Xudong Zhao, Shuguo Hu, Qiang Yang, Zhiwei Zhang, Qianjin Guo, Chaojun Niu

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Traffic Congestion in Ecuador: A Comprehensive Review, Key Factors, Impact, and Solutions of Smart Cities by Luis Roberto Jacome Galarza, Wilson Eduardo Jaramillo Sangurima, Silvia Alexandra Jaramillo Luzuriaga

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Invisible lives: Occupied cities as a blind spot in geopolitical research by Yana Suchikova

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ClimSat – A diffusion autoencoder model for climate-conditional satellite image editing by Johannes Leonhardt, Juergen Gall, Ribana Roscher

“…ClimSat’s practical utility is demonstrated in two downstream applications, i.e., data augmentation for land cover classification, where training on ClimSat-augmented datasets improves classifier generalizability beyond regionally limited datasets, and climate change visualization, where the effects of forecast climate change are simulated under two socioeconomic pathways for protected regions in Finland and Italy.…”
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Optimization of Electricity Consumption-Associated Costs in a Medium-Sized Logistics Company by Martins Tisenkopfs, Leo Jansons, Ineta Geipele, Sanda Lapuke, Andris Backurs

“…As primary data sources, A_LV’s internal electricity consumption reports and invoices for electricity payments were used, along with publicly available data on electricity consumption in Latvia and wholesale market price fluctuations. …”
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Utilizing rat kidney gene co-expression networks to enhance safety assessment biomarker identification and human translation by Steven J. Kunnen, Giulia Callegaro, Jeffrey J. Sutherland, Panuwat Trairatphisan, Hugo W. van Kessel, Lukas S. Wijaya, Git Chung, Keith Pye, Keith M. Goldstein, Claire R. Teague, Ciaran P. Fisher, Julio Saez-Rodriguez, Colin Brown, Susan A. Elmore, Kathleen M. Heinz-Taheny, James L. Stevens, Bob van de Water

“…Many rat kidney modules were preserved across transcriptome datasets, suggesting potential applicability to other kidney injury contexts. Cross-species preservation analysis using human kidney data further supported the translational potential of these rat-derived modules. …”
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Multi-view kernel subspace clustering with adaptive information completion and fusion for unsupervised systems by Li Guo, Zhigui Liu, Jiao Bao, Qian Wang

“…Abstract Subspace clustering methods are increasingly favored in engineering applications because of their unsupervised nature. However, their performance in processing multi-view nonlinear data in unsupervised systems is often affected by the following three factors: (1) how to use data with valid information from each view in an appropriate way to avoid introducing irrelevant information; (2) how to improve incomplete data information in each view; and (3) how to balance the contributions of different views to ensure that the most informative view receives adequate attention. …”
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Deformable cylinder extraction from LiDAR point cloud using candidate selection by Meng Du, Di Cao, Cheng Wang, Sheng Nie, Jingru Wang

“…However, current methods are hindered by data missing, and their performance on deformable cylinders remains to be improved. …”
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A Bias Injection Technique to Assess the Resilience of Causal Discovery Methods by Martina Cinquini, Karima Makhlouf, Sami Zhioua, Catuscia Palamidessi, Riccardo Guidotti

“…These findings underscore the need for expert validation and highlight the limitations of current CD methods in fairness-critical applications. Our proposal thus provides an essential tool for benchmarking and improving CD algorithms in biased, real-world data settings.…”
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Algorithmic emergence? Epistemic in/justice in AI-directed transformations of healthcare by Imo Emah, SJ Bennett

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Crowd-Sourced Evaluation: A Qualitative Study of User-Generated Product Review Videos on ExpoTV.com by Kurt Wilson

“…Purpose: The primary purpose of this study is to identify characteristics or insights about the user-generated content that could serve as a guide for future studies and the development of new theory or methodology to enlarge the scope and relevance of data used in evaluations. Setting: The ExpoTV.com website Intervention: Not applicable. …”
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