Measurement and simulation of broadband radar absorption properties of polypyrrole nanotubes and their carbonaceous analogues by Tomáš Zálabský, Drahomír Čadek, Fatima Hassouna, Jiří Tuček, Tomáš Lapka, Dušan Kopecký

“…Here, polypyrrole nanotubes (PPy-NT) and carbonized polypyrrole nanotubes (PPy-C) were dispersed in polydimethylsiloxane matrix (PDMS) at low concentrations (1–3 % w/w) and their attenuation properties (reflection, absorption, and transmission coefficients), dielectric properties (complex permittivity and loss tangents) and apparent alternating current (AC) conductivity were evaluated between 2.6 GHz and 18 GHz. …”
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Medical Data over Sound—CardiaWhisper Concept by Radovan Stojanović, Jovan Đurković, Mihailo Vukmirović, Blagoje Babić, Vesna Miranović, Andrej Škraba

“…The CardiaWhisper system is evaluated across several performance parameters, including functionality, complexity, speed, noise immunity, power consumption, range, and cost-efficiency. …”
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A Novel Method for Single-Station Lightning Distance Estimation Based on the Physical Time Reversal by Yingcheng Zhao, Zheng Sun, Yantao Duan, Hailin Chen, Yicheng Liu, Lihua Shi

“…Moreover, the correlation coefficients of the detection results are all as high as 0.999. …”
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Enhancing consistency in piping and instrumentation diagrams using DistilBERT and smart PID systems by F.S. Gómez-Vega, O. Acuña, Andrea C. Camargo, Jeison D. Jimenez, Sara M. Galeano, Isabella E. Franco, Laura L. Lozano, Jenifer Vásquez, Edwin Puertas

“…The model’s performance was validated by domain experts, who confirmed the detected inconsistencies as highly accurate. Our approach significantly reduces the manual effort required for P&ID review and improves design consistency, demonstrating the potential for enhanced safety and efficiency in complex industrial projects. …”
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Attention-based integrated deep neural network architecture for predicting the effectiveness of data center power usage by Yang-Cheng Shih, Sathesh Tamilarasan, Chin-Sheng Chen, Omid Ali Zargar, Yean-Der Kuan

“…The integration of convolutional layers processes hourly data inputs efficiently, reducing complexity and improving pattern detection. …”
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Navigating Ethical Dilemmas Of Generative AI In Medical Writing by Qurrat Ulain Hamdan, Waleed Umar, Mahnoor Hasan

“…Biasedness Another aspect of AI tools which impacts their efficiency is the biasedness that can emerge by being repeatedly trained on the same type of information.5 By emulating the human brain’s ability to remember, understand, and adapt according to new information, AI also inherits a “flaw” of the human mind of being influenced or becoming biased by recurrent exposure to specific types of information. …”
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A multi-robot collaborative manipulation framework for dynamic and obstacle-dense environments: integration of deep learning for real-time task execution by Afnan Ahmed Adil, Saber Sakhrieh, Jinane Mounsef, Noel Maalouf

“…This multirobot architecture is adaptable, allowing configuration of team size for collaborative tasks based on load requirements and environmental complexity. By integrating computer vision and deep learning for visual processing, and YOLOv2 for object detection, the system efficiently identifies, picks, and transports objects to designated locations, demonstrating the scalability of multi-robot framework for future applications in logistics automation, collaborative manufacturing, and dynamic human-robot interaction scenarios.…”
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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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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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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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Randomised controlled clinical trial of a structured cognitive rehabilitation in patients with attention deficit following mild traumatic brain injury: study protocol by Roshan das Nair, Nor Asiah Muhamad, Avril Drummond, Mazlina Mazlan, Norhamizan Hamzah, Vairavan Narayanan, Norlisah Ramli, Nor Atikah Mustapha, Nor Adibah Mohammad Tahir, Li Kuo Tan, Mahmoud Danaee, Sing Yau Goh

“…Correlation analysis of outcome measures will be calculated using Pearson’s correlation coefficient.Conclusion This is a complex clinical intervention with multiple outcome measures to provide a comprehensive evidence-based treatment model.Ethics and dissemination The study protocol was approved by the Medical Research Ethics Committee UMMC (MREC ID NO: 2016928–4293). …”
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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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Surfactant-mediated transport behavior of zinc oxide nanoparticles in porous media by Yujue Wang, Zhou Cheng, Ming Wu, Yanru Hao

“…Nanomaterials and surfactants are widely detected in soil-groundwater environments, while the surfactant-mediated transport behavior of nanoparticles has not been sufficiently investigated. …”
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Wind Turbine Static Errors Related to Yaw, Pitch or Anemometer Apparatus: Guidelines for the Diagnosis and Related Performance Assessment by Davide Astolfi, Silvia Iuliano, Antony Vasile, Marco Pasetti, Salvatore Dello Iacono, Alfredo Vaccaro

“…The optimization of the efficiency of wind turbine systems is a fundamental task, from the perspective of a growing share of electricity produced from wind. …”
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Combating a Global Threat to a Clonal Crop: Banana Black Sigatoka Pathogen Pseudocercospora fijiensis (Synonym Mycosphaerella fijiensis) Genomes Reveal Clues for Disease Control. by Rafael E Arango Isaza, Caucasella Diaz-Trujillo, Braham Dhillon, Andrea Aerts, Jean Carlier, Charles F Crane, Tristan V de Jong, Ineke de Vries, Robert Dietrich, Andrew D Farmer, Claudia Fortes Fereira, Suzana Garcia, Mauricio Guzman, Richard C Hamelin, Erika A Lindquist, Rahim Mehrabi, Olman Quiros, Jeremy Schmutz, Harris Shapiro, Elizabeth Reynolds, Gabriel Scalliet, Manoel Souza, Ioannis Stergiopoulos, Theo A J Van der Lee, Pierre J G M De Wit, Marie-Françoise Zapater, Lute-Harm Zwiers, Igor V Grigoriev, Stephen B Goodwin, Gert H J Kema

“…Melting-curve assays suggest that the genomes of two closely related members of the Sigatoka disease complex, P. eumusae and P. musae, also are expanded. …”
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Achievements and prospects of applying high-throughput sequencing techniques to potato genetics and breeding by I. V. Bykova, N. A. Shmakov, D. A. Afonnikov, A. V. Kochetov, E. K. Khlestkina

“…In recent years, marker-assisted selection (MAS) has been intensively used to increase potato breeding efficiency. Large-scale studies of the potato genome and genes exploiting next-generation sequence (NGS) approaches are required for broad application of MAS, genomic selection as well as genomic editing (the newest approach for creating potato with desired properties). …”
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FloodNet-Lite: A Lightweight Deep Learning for Flood Mapping Using Remote Sensing Data With Optimized UNet and Edge Deployment Approach in 6G by Puviyarasi Thirugnanasammandamoorthi, Debabrata Ghosh, Ram Kishan Dewangan, Mohammad Kamrul Hasan, Khairul Akram Zainol Ariffin, Huda Saleh Abbas, Hashim Elshafie, Rashid A. Saeed, Ala Eldin Awouda

“…However, existing deep-learning (DL) models often face challenges related to computational complexity, latency, and limited scalability in dynamic and resource-constrained environments. …”
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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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