Fully automated multicolour structured illumination module for super-resolution microscopy with two excitation colours by Haoran Wang, Peter T. Brown, Jessica Ullom, Douglas P. Shepherd, Rainer Heintzmann, Benedict Diederich

“…This setup offers up to 1.55-fold improvement in lateral resolution over wide-field microscopy. …”
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Federated Learning-Based Credit Card Fraud Detection: A Comparative Analysis of Advanced Machine Learning Models by Zheng Han

“…The FedGAT-DCNN model improves accuracy by integrating GAT with Dilated Convolutions to catch spatial and temporal patterns in transaction data. …”
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Surgical treatment of massive rotator cuff tears (literature review) by D. V. Menshova

“…Taking all of these factors into account, the problem of improving the treatment of patients with massive rotator cuff tears remains relevant and timely.…”
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Detecting Obfuscated Malware Infections on Windows Using Ensemble Learning Techniques by Yadigar Imamverdiyev, Elshan Baghirov, John Chukwu Ikechukwu

“…The findings contribute to cybersecurity efforts by comprehensively assessing machine learning algorithms for obfuscated malware detection through memory analysis. …”
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The Peculiarity of Process and Treatment of Arterial Hypertension in Patients with Type 2 Diabetes Mellitus by T. Yu. Demidova, O. A. Kislyak

“…There is ample evidence that blood pressure control in diabetic patients may be critical for improving long-term prognosis. This observation does not lose its relevance even with the emergence of new antidiabetic drugs with proven cardio- and nephroprotective effects. …”
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Approaches for Localizing the Origin of PVCs in the Outflow Tract: Future Perspectives and Challenges by Baiping Sui, Yingjie Ji, Ying Wang, Ling Gao, Minghao Li

“…This comparison includes analysis of parameters such as the QRS wave polarity in different leads, QRS duration, R/S ratio, and S-R difference in precordial leads. Innovation and improvement in the analysis of the relationships among these ECG characteristics would enhance the accuracy of IVA localization. …”
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Artificial intelligence media-assisted storytelling therapy as a solution for handling speech delay in early childhood by Evi Chamalah, Aida Azizah, Yosi Wulandari, Oktarina Puspita Wardani

“…Results demonstrated significant improvements in vocabulary acquisition, sentence structure, and speaking confidence, with children exhibiting increased engagement during sessions while scheduling flexibility enhanced parental involvement. …”
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Computational Thinking in Elementary School Students: A Bibliometric Review by Swasti Maharani, Irna Tri Yuniahastuti, Ihtiari Prastyaningrum, Vera Dewi Susanti, Hendrisa Rizqie Romandoni

“…The main trend highlights the importance of visual programming tools like Scratch in improving students' understanding of programming concepts, logic, and motivation. …”
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A Planer Moving Microphone Array for Sound Source Localization by Chuyang Wang, Karhang Chu, Yatsze Choy

“…From a data collection perspective, increasing the number of microphones generally improves SSL performance. However, a large microphone array such as a 16-microphone array configuration may occupy significant space on a robot. …”
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TAAC: Secure and Efficient Time-Attribute-Based Access Control Scheme in SDN-IoT by Jiamin Hu, Zhonghua Shen, Kefei Chen, Yuying Liu, Qian Meng, Fuqun Wang, Yong Liu

“…In summary, the TAAC scheme improves storage efficiency and computation, enhances scalability, and provides robust security, offering an efficient and secure solution for ciphertext sharing in SDN-IoT environments. …”
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An Efficient Text Analysis Tool for Streamlining Literature Reviews by Oliver Bonham-Carter

“…This tool aims to empower students and emerging researchers by providing visual representations of knowledge gaps, improving comprehension, and reducing frustrations when building literature reviews. …”
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A data driven predictive viscosity model for the microemulsion phase by Akash Talapatra, Bahareh Nojabaei, Pooya Khodaparast

“…This work facilitates precise viscosity estimation, improving recovery efficiency under reservoir conditions.…”
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Anomaly classification in IIoT edge devices by Danny Alexandro Múnera-Ramírez, Diana Patricia Tobón-Vallejo, Martha Lucía Rodríguez-López

“… An early Industrial Internet of Things (IIoT) Anomaly Detection reduces maintenance costs, minimizes machine downtime, increases safety, and improves product quality. A multi-class classifier that detects events, failures, or attacks is much more efficient than a simple binary classifier, as it relieves a human operator of the task of identifying anomaly causes, thereby avoiding wasted time that could compromise process performance and security. …”
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Designing a Smart Garment for Dynamic Sitting Reminders by Yujie Hou, Zhaohui Wang, Huanhuan Liu, Mengxuan Xia, Xinyi Fan, Qinwen Ye

“…Medical research has shown that monitoring and improving sitting posture is an important measure to prevent spinal discomfort. …”
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A Study Investigating Interpretable Deep Learning Models for Predicting Mortality and Survival in Patients with Primary Thyroid Lymphomas by Zihan Yu, Rong Hu, Jiaqing Chen

“…This study highlights the potential of deep learning models, particularly DeepSurv, in improving prognostic predictions for PTL and provides a practical tool for guiding clinical treatment decisions. …”
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Comprehensive Review and Analysis of Cryptography Techniques in Cloud Computing by K. Sasikumar, Sivakumar Nagarajan

“…Cloud storage is popular among individuals and businesses because it reduces cost, increases productivity, boosts performance, and improves security. However, cloud computing comes with security risks as data are stored with third-party providers, and Internet access limits visibility and control. …”
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Deploying an Educational Mobile Robot by Dorina Plókai, Borsa Détár, Tamás Haidegger, Enikő Nagy

“…These findings underscore the value of advanced data processing techniques in improving the performance and reliability of educational mobile robots. …”
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TSCAPE: time series clustering with curve analysis and projection on an Euclidean space by Jeremy Renaud, Raphaël Couturier, Christophe Guyeux, Benoit Courjal

“…The TSCAPE method uses a distance matrix calculated using dynamic time warping, followed by multidimensional scaling to project time series into a 2D Euclidean space, thus improving the last clustering stage by K-Means. Unlike conventional techniques, this approach, based on clustering of representation of distances in a Euclidean plane rather than on the curve shape, directly enhances the efficiency of the clustering process. …”
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Hybrid machine learning and physics-based model for estimating lettuce (Lactuca sativa) growth and resource consumption in aeroponic systems by Benedetta Fasciolo, Nicolò Grasso, Giulia Bruno, Paolo Chiabert

“…Despite these challenges, the hybrid model offers a promising solution for optimizing controlled environment agriculture, addressing critical challenges in modern agriculture by improving efficiency and sustainability.…”
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6G virtualized beamforming: a novel framework for optimizing massive MIMO in 6G networks by Ahmed M. Alwakeel

“…Our framework employs a combination of advanced machine learning algorithms and software-defined networking to dynamically allocate beamforming resources, improving adaptability in high-density environments and optimizing signal-to-noise ratios. …”
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