BlockDroid: detection of Android malware from images using lightweight convolutional neural network models with ensemble learning and blockchain for mobile devices by Emre Şafak, İbrahim Alper Doğru, Necaattin Barışçı, İsmail Atacak

“…Traditional malware detection studies require significant human intervention and resource consumption to analyze all malware files. Moreover, malware developers have developed polymorphism and code obfuscation techniques to evade traditional signature-based detection approaches used by antivirus companies. …”
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Deep learning-based risk stratification of ductal carcinoma in situ using mammography and abbreviated breast magnetic resonance imaging by Tingfeng Zhang, Tingting Cui, Zhenjie Cao, Jintao Hu, Jintao Hu, Jie Ma

“…The model for invasive cases incorporated features Ki-67 status, lymph vascular invasion, and enhancement patterns, achieved an Area Under the Curve of 0.880, with 86.2% accuracy and an F1 score of 0.834. …”
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Digital Storytelling for People With Cognitive Impairment Using Available Mobile Apps: Systematic Search in App Stores and Content Analysis by Di Zhu, Abdullah Al Mahmud, Wei Liu, Dahua Wang

“…The analysis revealed patterns in platform diversity and geographical distribution of developers, with apps available on both iOS and Android. …”
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The value of MRI in differentiating ovarian clear cell carcinoma from other adnexal masses with O-RADS MRI scores of 4–5 by Lingling Lin, Le Fu, Huawei Wu, Saiming Cheng, Guangquan Chen, Lei Chen, Jun Zhu, Yu Wang, Jiejun Cheng

“…Abstract Objective To assess the utility of clinical and MRI features in distinguishing ovarian clear cell carcinoma (CCC) from adnexal masses with ovarian-adnexal reporting and data system (O-RADS) MRI scores of 4–5. …”
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Epidemiological trends and clinical characteristics of measles in Iraq (2023–2024): a retrospective cross-sectional study by Mohammed A. Jalal, Kamil M. Halboot, Sundus A. Lami, Entidhar A. Gumar, Mortada H. Kreeb al-Delphi, Faris Lami, Taqi Mohammed Jwad Taher

“…This study aims to analyze the epidemiological patterns and clinical features of measles in Iraq to develop effective public health interventions. …”
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CH-RUN: a deep-learning-based spatially contiguous runoff reconstruction for Switzerland by B. Kraft, M. Schirmer, W. H. Aeberhard, M. Zappa, S. I. Seneviratne, L. Gudmundsson

“…</p> <p>The developed data-driven model demonstrates not only competitive performance, but also notable improvements over traditional hydrological modeling in replicating daily runoff patterns, capturing interannual variability, and discerning long-term trends. …”
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Research on Creep Constitutive Model for High Temperature Reactor Based on Neural Network by ZHANG Fan, DAI Shoutong

“…This research aims to develop a novel creep constitutive model, leveraging neural networks to precisely predict long-term creep behavior from short-term data. …”
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DentoMorph-LDMs: diffusion models based on novel adaptive 8-connected gum tissue and deciduous teeth loss for dental image augmentation by Hanaa Salem Marie, Mostafa Elbaz, Riham sobhy Soliman, Amira Abdelhafeez elkhatib

“…We developed two novel biologically-inspired loss functions integrated within LDMs specifically designed for pediatric dental imaging: Gum-Adaptive Pixel Imputation (GAPI) utilizing adaptive 8-connected pixel neighborhoods that mimic pediatric gum tissue adaptive behavior, and Deciduous Transition-Based Reconstruction (DTBR) incorporating developmental stage awareness based on primary teeth transition patterns observed in children aged 2–12 years. …”
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Expose flexible conformations for intrinsically disordered protein by Jiaan Yang, Wenxin Ji, Wen Xiang Cheng, Gang Wu, Si Tong Sheng, Peng Zhang, Jun Lin, Xiaojia Chen, Qiong Shi

“…Although many methods and databases provide information for intrinsically disordered protein (IDP), they are mainly limited to determining the intrinsically disordered regions (IDR) lacking knowledge of possible folding patterns. To overcome the barrier, the protein structure fingerprint technology has been developed, which includes PFSC (Protein Folding Shape Code) (Yang, 2008) and PFVM (Protein Folding Variation Matrix) (Yang et al., 2022) algorithms as well as FiveFold (Yang et al., 2025) approach for protein structure prediction, which are able explicitly to expose the possible conformational structures for intrinsically disordered protein. …”
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Cell Death and Senescence‐Based Molecular Classification and an Individualized Prediction Model for Lung Adenocarcinoma by Pan Wang, Chaoqi Zhang, Peng Wu, Zhihong Zhao, Nan Sun, Qi Xue, Shugeng Gao, Jie He

“…The CDS index (CDSI), derived from principal component analysis, was developed to assess individual tumor CDS regulation patterns. …”
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Impact of Coenzyme Q10 on Mitochondrial Metabolism: A Complementary Study Using Fluorescence Lifetime Imaging and Electron Microscopy by Johannes Georg Wieland, Nilanjon Naskar, Kirsten Reess, Daniela Nobre Sarmento dos Santos, Julia M. Weise, Thomas Blatt, Sebastian Kordes, Paul Walther, Angelika Rück

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Volumetric evolution of supraglacial lakes in southwestern Greenland using ICESat-2 and Sentinel-2 by T. Feng, T. Feng, X. Ma, X. Ma, X. Liu, X. Liu, X. Liu

“…Additionally, according to the evolution characteristics of SGLs at different elevations, SGLs above 800 m exhibit a similar evolution pattern. A temporal discrepancy in maximum values for both mean area and mean depth implies differential rates of SGL development in the horizontal and vertical dimensions. …”
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Stress State of Modular Blocks with Large Door Openings by Ilia Teshev, Aliy Bespayev, Murat Tamov, Zauresh Zhambakina, Ulan Altigenov, Timur Zhussupov, Aigerim Tolegenova

“…The present study aims to investigate the features of the stressed state of modular blocks with large door openings and the effect of size and place of the doors on the openings on the overall structural behavior of the building. …”
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Multisource Topographic-Enhanced Cloud Removal for Remote Sensing in Mountainous Landscapes by Meryeme Boumahdi, Consuelo Gonzalo-Martin, Mario Lillo-Saavedra, Marcelo Somos-Valenzuela, Angel Garcia-Pedrero

“…To overcome this obstacle, various cloud removal techniques have been developed, although they tend to struggle in such landscapes. …”
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An algorithm for annotation and classification of T. cruzi MASP sequences: towards a better understanding of the parasite genetic variability by Aldana Alexandra Cepeda Dean, Luisa Berná, Carlos Robello, Carlos Andrés Buscaglia, Virginia Balouz

“…On the contrary, structural features of canonical MASPs, MASP-related sequences, and MASP-chimeras were largely conserved across parasite genomes. …”
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Unobtrusive Sleep Posture Detection Using a Smart Bed Mattress with Optimally Distributed Triaxial Accelerometer Array and Parallel Convolutional Spatiotemporal Network by Zhuofu Liu, Gaohan Li, Chuanyi Wang, Vincenzo Cascioli, Peter W. McCarthy

“…Accurate identification of sleep postures can offer valuable insights into an individual’s sleep patterns, comfort levels, and potential health risks. …”
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Improving epilepsy monitoring using long-term, in-home-bi-modal seizure monitoring device: clinical utilities and obstacles from a pilot study by Jaeso Cho, Young Jun Ko, Young Jun Ko, Yoon Gi Chung, Anna Cho, Hunmin Kim, Hunmin Kim

“…Patients used a wearable device developed for the study, featuring four-channel electroencephalogram and accelerometer sensors. …”
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A novel flexible near-infrared endoscopic device that enables real-time artificial intelligence fluorescence tissue characterization. by Gareth Gallagher, Ra'ed Malallah, Jonathan P Epperlein, Jeffrey Dalli, Niall Hardy, Abhinav Jindal, Pol G MacAonghusa, Ronan A Cahill

“…Here, to close this technical gap, we present our development of a colonoscope-compatible flexible imaging probe for NIR-ICG visualization combined with a full field of view machine learning (ML) algorithm for fluorescence quantification and perfusion pattern cross-correlation (including first in human testing). …”
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Microbiological and Clinicoepidemiological Profile of a Series of Patients with Infective Endocarditis at a Center in Eastern Nepal by Sohani Bajracharya, Basudha Khanal, Shraddha Siwakoti, Rupa Rajbhandari Singh, Sanjib Kumar Sharma

“…Majority of patients developed acute kidney injury (35.3%) and congestive cardiac failure (23.5%). …”
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Event-based landslide inventory through very high-resolution optical images and field surveys by P. Confuorto, R. Franceschini, L. Scarpitta, N. Casagli, S. Morelli, F. Raspini, V. Tofani, S. Moretti

“…Objectives This study aims to develop a detailed post-event landslide inventory of the Misa basin and to analyze the spatial distribution, the main morphological features, and the environmental context of the triggered landslides. …”
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