A novel nonparametric adaptive kernel density estimation method for removing nonrandom noise from ICESat-2 photon-counting LiDAR data by Zijia Wang, Sheng Nie, Cheng Wang, Xiaohuan Xi, Xiaoxiao Zhu, Jieying Lao, Bisheng Yang

“…These two noise types often coexist in large-scale regions, yet most existing parameterized algorithms are designed to address only one, limiting their denoising effectiveness in complex environments. To address this challenge, a robust nonparametric density estimation algorithm is proposed to efficiently remove nonrandom noise while ensuring accurate surface elevation retrieval. …”
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Using RE-AIM to inform the adaptation of a clinical decision support application for hypertension disorders of pregnancy: a qualitative study of provider perspectives by Shannon Marie Canfield, Yarrow Stanley, Parijat Ghosh, Amy Braddock, Randi Foraker

“…Home BP monitoring could aid in timely risk assessment, early detection of complications, and medication adjustments. …”
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Introducing HeliEns: A Novel Hybrid Ensemble Learning Algorithm for Early Diagnosis of <i>Helicobacter pylori</i> Infection by Sultan Noman Qasem

“…Recent advancements in machine learning (ML) and quantum machine learning (QML) offer promising non-invasive alternatives capable of analyzing complex datasets to identify patterns not easily discernible by human analysis. …”
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Active peptides of TSP-1 inhibit retinal angiogenesis through the CD36 pathway in a rat model of choroidal neovascularization. by Yadi Li, Aiping Deng, Kangwei Jiao, Jie Yan, Wandong Zuo, Yujie Dong, Wenrong Xu, Yuting Li, Chunming Guo, Maorong Chen, Run Tian, Zhulin Hu

“…Furthermore, VR-13 peptide effectively inhibited the pathological development of CNV without the detection of retinal toxicity in the rat CNV model.…”
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Surface protonation amplifies carbon nitride nanosheet-induced phospholipid extraction: Mechanistic insights into enhanced cytotoxicity by Yiping Feng, Jiayong Lao, Jingchuan Xue

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MLinvitroTox reloaded for high-throughput hazard-based prioritization of high-resolution mass spectrometry data by Katarzyna Arturi, Eliza J. Harris, Lilian Gasser, Beate I. Escher, Georg Braun, Robin Bosshard, Juliane Hollender

“…Abstract MLinvitroTox is an automated Python pipeline developed for high-throughput hazard-driven prioritization of toxicologically relevant signals detected in complex environmental samples through high-resolution tandem mass spectrometry (HRMS/MS). …”
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An innovative methodology for segmenting vessel like structures using artificial intelligence and image processing by Reynaldo Villarreal, Sindy Chamorro-Solano, Steffen Cantillo, Roberto Pestana-Nobles, Sair Arquez, Yolanda Vega-Sampayo, Leonardo Pacheco-Londoño, Jheifer Paez, Nataly Galan-Freyle, Cristian Ayala, Paola Amar

“…This is achieved by training algorithms to detect specific pixels, thereby recognizing details within images. …”
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A novel lightweight 3D CNN for accurate deformation time series retrieval in MT-InSAR by Mahmoud Abdallah, Xiaoli Ding, Samaa Younis, Songbo Wu

“…Multi-temporal interferometric synthetic aperture radar (MT-InSAR) is a powerful geodetic technique for detecting and monitoring ground deformation over extensive areas. …”
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Urban policies for in-house vaccination of vulnerable people during COVID-19 based on critical systems learning by M. Samadi-Foroushani, S. S. Miresmaeeli, A. Nasiri, Z. Molamohamadi

“…Afterward, the Strategic Assumptions Surfacing and Testing methodology, a systems approach for learning in complex problem situations, is used, along with the participation of urban decision-makers, to reveal the strategic assumptions for the development of an in-house vaccination services system for vulnerable populations. …”
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Portable Impedance Analyzer for FET-Based Biosensors with Embedded Analysis of Randles Circuits’ Spectra by Norman Pfeiffer, Martin Bach, Alice Steiner, Anna-Elisabeth Gerhardt, Joan Bausells, Abdelhamid Errachid, Albert Heuberger

“…Measurements with ISFETs show deviations of 6.5 ± 2.8% compared to the complex non-linear least squares (CNLS), but is significantly faster and more efficient. …”
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Technology Integration to Support Nurses in an “Inpatient Room of the Future”: Qualitative Analysis by Elizabeth R Stevens, Veronica Alfaro Arias, Son Luu, Katharine Lawrence, Lisa Groom

“…Analysis identified four major themes considered central to designing a technology-integrated inpatient room that enhances nursing workflow and experience: (1) the need for seamless integration of technologies advocating for a unified system that minimizes fragmented technology use and enhances efficiency; (2) the potential for technology to reduce cognitive load, alleviate mental strain, and streamline complex workflows; (3) a focus on enhancing interpersonal communication with specific emphasis on tools that facilitate clear and efficient communication among clinicians and with patients; and (4) the importance of improved staff well-being with design considerations aimed at promoting both physical and mental health for health care workers in the inpatient setting. …”
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Deep Learning–Based Prediction of Freezing of Gait in Parkinson's Disease With the Ensemble Channel Selection Approach by Sara Abbasi, Khosro Rezaee

“…Method To address this, we developed a novel algorithm for detecting FoG events based on movement signals. To enhance efficiency, we propose a novel architecture integrating a bottleneck attention module into a standard bidirectional long short‐term memory network (BiLSTM). …”
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Improved YOLOv8n based helmet wearing inspection method by Xinying Chen, Zhisheng Jiao, Yuefan Liu

“…The YOLOv8 C2f module is enhanced with a new SC_Bottleneck structure, incorporating the SCConv module, now termed SC_C2f, to mitigate model complexity and computational costs. Additionally, the original Detect structure is substituted with the PC-Head decoupling head, leading to a significant reduction in parameter count and an enhancement in model efficiency. …”
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Digital security risk identification and model construction of smart city based on deep learning by Zhilei Zhao

“…In order to deal with these problems, this paper designs a flexible three-layer architecture framework, and introduces a new intrusion detection feature selection method that combines flock optimization (CSO) and genetic algorithm (GA) to reduce the complexity of feature selection and enhance the detection and processing power of security vulnerabilities through deep neural networks (DNN). …”
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Digital Technologies and Trade Facilitation in Ethiopia: A Mixed-Methods Analysis of Blockchain, AI, and IoT Adoption by Chekole Sete Demeke

“…Data analysis reveals the potential of blockchain to enhance customs transparency and efficiency, AI to expedite cargo clearance and strengthen fraud detection, and IoT to provide improved supply chain visibility. …”
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Improved Air Mesh Refinement for Accurate Strand-Solid and Self-Collision Handling by Jong-Hyun Kim

“…Moreover, depending on scene complexity, both discrete collision detection (DCD) and continuous collision detection (CCD) often need to be considered. …”
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Continuous Gesture Sequences Recognition Based on Few-Shot Learning by Zhe Liu, Cao Pan, Hongyuan Wang

“…And it can improve human-computer interaction efficiency in operations with proper gesture recognition solutions. …”
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An experimental study on restoration technique for the Acropolis of Athens: developing the experimental set-up for pull-out testing of titanium bars embedded in marble blocks by Ioanna Dakanali, Aikaterini Marinelli

“…In this context, the Acoustic Emission tech­nique is employed in order to detect failure and damages at the interior of the complex. …”
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PATH PLANNING AND OBSTACLE AVOIDANCE METHODS FOR AUTONOMOUS MOBILE ROBOTS by Ihor Berizka

“…Important characteristics of obstacle detection and avoidance algorithms include convergence, computation time, and memory requirements in the system. …”
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A review of eDNA technology in avian monitoring: Current status, challenges and future perspectives by Ying Ke, Tong Liu, Chenglong Han, Xue Yu, Jinmei Wang, Laixing Ding, Hongliang Pan, Xunqiang Mo, Xueqiang Lu

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