Simulating and Verifying a 2D/3D Laser Line Sensor Measurement Algorithm on CAD Models and Real Objects by Rok Belšak, Janez Gotlih, Timi Karner

“…This work not only reduces the need for physical prototyping, thereby contributing to sustainability, but also supports AI training by generating accurate synthetic data. …”
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Social mixing patterns in the UK following the relaxation of COVID-19 pandemic restrictions, July–August 2020: a cross-sectional online survey by Chris Jewell, Jonathan M Read, Jessica RE Bridgen

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A novel and optimized design of D-latch and D flip-flop for QCA-based digital systems by Pezhman Kiani Vosta, Mohammad Gholami

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Variation within and between digital pathology and light microscopy for the diagnosis of histopathology slides: blinded crossover comparison study by David RJ Snead, Ayesha S Azam, Jenny Thirlwall, Peter Kimani, Louise Hiller, Adam Bickers, Clinton Boyd, David Boyle, David Clark, Ian Ellis, Kishore Gopalakrishnan, Mohammad Ilyas, Paul Kelly, Maurice Loughrey, Desley Neil, Emad Rakha, Ian SD Roberts, Shatrughan Sah, Maria Soares, YeeWah Tsang, Manuel Salto-Tellez, Helen Higgins, Donna Howe, Abigail Takyi, Yan Chen, Agnieszka Ignatowicz, Jason Madan, Henry Nwankwo, George Partridge, Janet Dunn

“…As a result, digital pathology could potentially lead to safer more efficient working. In order to use digital pathology in practice, we need to know pathologists produce equivalent reports as compared to light microscopy. …”
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Overview of research on trusted attestation technology of cloud virtualization platform by Bibo TU, Jie CHENG, Haojun XIA, Kun ZHANG, Ruina SUN

“…With the rapid development of cloud computing， the security issues of cloud platforms have also attracted much attention.Trusted computing is an essential supporting technology in the cloud computing security system.Trusted attestation is an important feature in trusted computing.The use of trusted attestation technology verifies whether the cloud virtualization platform is trustworthy， thereby providing a foundation for ensuring the security of the cloud platform.Now based on the definition of trusted attestation， the research progress of key technologies such as the root of trust virtualization， platform identity authentication， platform status certification， and trusted attestation framework for virtual machines were systematically sorted out， typical schemes were analyzed and compared.Furthermore， the limitations of existing work were discussed.Finally， the future research trend of this area were pointed out.…”
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Development and Validation of an Interpretable Machine Learning Model for Prediction of the Risk of Clinically Ineffective Reperfusion in Patients Following Thrombectomy for Ischem... by Hu X, Qi D, Li S, Ye S, Chen Y, Cao W, Du M, Zheng T, Li P, Fang Y

“…Four machine learning models were developed: random forest (RF), support vector machine (SVM), decision tree (DT), and k-nearest neighbor (KNN). …”
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Evaluating the level of digitalization of the innovation process with artificial intelligence approach in the digital transformation of knowledge-based companies by ali Bagheri, reza radfar, sepehr ghazinoory

“…Businesses need a dynamic tool to support their digital innovation management efforts. …”
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Clinical and cost-effectiveness of detailed anomaly ultrasound screening in the first trimester: a mixed-methods study by Jehan N Karim, Helen Campbell, Pranav Pandya, Edward C F Wilson, Zarko Alfirevic, Trish Chudleigh, Elizabeth Duff, Jane Fisher, Hilary Goodman, Lisa Hinton, Christos Ioannou, Edmund Juszczak, Louise Linsell, Heather L Longworth, Kypros H Nicolaides, Anne Rhodes, Gordon Smith, Basky Thilaganathan, Jim Thornton, Gillian Yaz, Oliver Rivero-Arias, Aris T Papageorghiou

“…Background In the United Kingdom, pregnant women are offered two scans: at 11–14 and 18–20 weeks’ gestation. Current guidance supports fetal anatomical screening at the second scan, but evidence suggests earlier detection is possible. …”
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PhaPl: software to plot and research phase portraits automatically by A. A. Cherepanov

“…The software supports linear and nonlinear autonomous systems of 2 differential equations. …”
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An NLP-driven face recognition system to improve Alzheimer’s patient engagement and care [MEMORY LANE] by Zishan Ahmad, Vengadeswaran Shanmugasundaram

“…Memory Lane works in four phases: (1) An offline speech recognition system. (2) A transformer-based intent classification model. (3) A CNN architecture that generates face embedding to compare L2 distance with existing stored embeddings for face recognition. (4) A module that retrieves information from MongoDB and uses TTS for communication. …”
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A Cross-Sectional Evaluation of Opioid Dispensing Competencies in Final-Year Pharm-D Students: A Multicenter Study from Punjab, Pakistan by Mubarak N, Rahman Rana F, Zahid T, Ijaz UEB, Shabbir A, Ghulam Bari A, Niaz B, Kanwal S, Saif-Ur-Rahman N, Iqbal Z, Khan AM, Zin CS, Mahmood K, Elnaem MH, Tariq S

“…Competency in this area is essential for reducing the risk of opioid misuse and overdose, ensuring safe and effective patient care, and supporting broader public health efforts to combat the opioid crisis. …”
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Software for Electronic Portfolio of Students of the Russian Higher Education by B. Burnyashov

“…The following criteria were added to the list of traditional criteria for comparing electronic portfolio software from different developers by the author: the availability (number) of training tools for performing training tasks with ecosystem tools, into which the portfolio is integrated, and the presence of registration in the Unified Register of Russian programs for electronic computers and databases. …”
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Optimisation of the deployment of automated external defibrillators in public places in England by Terry P Brown, Lazaros Andronis, Asmaa El-Banna, Benjamin KH Leung, Theodoros Arvanitis, Charles Deakin, Aloysius N Siriwardena, John Long, Gareth Clegg, Steven Brooks, Timothy CY Chan, Steve Irving, Louise Walker, Craig Mortimer, Sandra Igbodo, Gavin D Perkins

“…The study was divided into four work packages (WPs): (1) exploration of the characteristics and coverage of current locations of AEDs relative to the location of historical OHCAs; (2) comparison of the OHCA coverage of various AED deployment strategies (POIs and grid-based) and an optimisation model with the current coverage; (3) determination of the cost-effectiveness of the strategies in WP2 compared to current placement (CP); and (4) development of a national consensus of the optimal location for public-access AEDs. …”
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Short-Term Traffic Flow Forecasting Model Based on GA-TCN by Rongji Zhang, Feng Sun, Ziwen Song, Xiaolin Wang, Yingcui Du, Shulong Dong

“…The results showed that the average absolute error of the proposed GA-TCN decreased by 34.09%, 22.42%, and 26.33% compared with LSTM, GRU, and TCN in working days, while the average absolute error of the GA-TCN decreased by 24.42%, 2.33%, and 3.92% in weekend days, respectively. …”
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Visual analysis of fruit harvesting machine based on CiteSpace by YANG Daorina, ZHANG Fengkui, WANG Yulong, HE Ruohong, ZHU Jikui, LI Ping

“…The research results would provide strong support for relevant researchers to deeply understand the research status of this field from the macro level, and provide valuable reference for its exploration in the future development direction and the practice of technological innovation.…”
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On Extended Numerical Discretization Technique of Fractional Models with Caputo-Type Derivatives by Reem Allogmany, S. S. Alzahrani

“…The ENDT method offers accuracy, stability, and efficiency compared to traditional methods. It effectively handles challenges in complex systems, supports any fractional order, is simple to implement, improves computing efficiency with sophisticated methodologies, and applies it to epidemic predictions and biological simulations.…”
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TCN enhanced novel malicious traffic detection for IoT devices by Liu Xin, Liu Ziang, Zhang Yingli, Zhang Wenqiang, Lv Dong, Zhou Qingguo

“…Experiments show that this work has better detection performance and faster detection speed compared to existing approaches, proving the effectiveness of the proposed detection flow and Multi-class S-TCN in IoT scenarios.…”
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Optimal Band Configuration for the Roof Surface Characterization Using Hyperspectral and LiDAR Imaging by Prakash Nimbalkar, Anna Jarocinska, Bogdan Zagajewski

“…The optimal bands were investigated using supervised classifiers such as artificial neural network (ANN), support vector machine (SVM), and spectral angle mapper (SAM) by comparing accuracies. …”
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Key Parameters of the Roof Cutting and Pressure Relief Technology in the Pre-Splitting Blasting of a Hard Roof in Guqiao Coal Mine by Hanlin You, Zegong Liu

“…The phenomenon of crushing the support of the hard roof of a coal seam occurs occasionally during the coal mining process. …”
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Probing the role of Coniferin and Tetrahydrocurcumin from Traditional Chinese medicine against PSAT1 in early-stage ovarian cancer: An in silico study. by Jia Zhang, Shalesh Gangwar, Nagmi Bano, Shaban Ahmad, Mohammed S Alqahtani, Khalid Raza

“…Even in its early stages, when treatment choices are scarce, ovarian cancer is still a complicated cancer to treat. In this work, we used computational approaches to find putative Traditional Chinese Medicine (TCM) inhibitors that target Phosphoserine Aminotransferase 1 (PSAT1), a crucial enzyme linked to the development of early-stage ovarian cancer. …”
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