Trusted Energy-Aware Hierarchical Routing (TEAHR) for Wireless Sensor Networks by Vikas, Charu Wahi, Bharat Bhushan Sagar, Manisha Manjul

“…Trust-based routing mechanisms are usually associated with high computation and storage complexity and susceptibility to collusive attacks such as spoofing. …”
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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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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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Improvement of the perovskite photodiodes performance via advanced interface engineering with polymer dielectric by Andrey P. Morozov, Lev O. Luchnikov, Sergey Yu. Yurchuk, Artur R. Ishteev, Pavel A. Gostishchev, Sergey I. Didenko, Nikita S. Saratovsky, Dmitry O. Balakirev, Ivan V. Dyadishchev, Andrey A. Romanov, Ekaterina A. Ilicheva, Anton A. Vasilev, Sergey S. Kozlov, Dmitry S. Muratov, Yuriy N. Luponosov, Danila S. Saranin

“…Halide perovskite-based photodiodes are promising for efficient detection across a broad spectral range. …”
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A New Joint Denoising Algorithm for High-G Calibration of MEMS Accelerometer Based on VMD-PE-Wavelet Threshold by Huiliang Cao, Zekai Zhang, Yu Zheng, Hao Guo, Rui Zhao, Yunbo Shi, Xiujian Chou

“…Recently, the High-G MEMS accelerometer (HGMA) has been used in navigation, mechanical property detection, consumer electronics, and other fields widely. …”
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Education and Symptom Reporting in an mHealth App for Patients With Cancer: Mixed Methods Development and Validation Study by Carolina Muñoz Olivar, Miguel Pineiro, Juan Sebastián Gómez Quintero, Carlos Javier Avendaño-Vásquez, Pablo Ormeño-Arriagada, Silvia Palma Rivadeneira, Carla Taramasco Toro

“…Current cancer therapies, notably chemotherapy, pose challenges due to their side effects. The early detection and management of the side effects are vital but complex. …”
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Comparative study of the profile of supragingival dental plaque and tooth decay in patients with lupus erythematosus and rheumatoid arthritis by Aida Mehdipour, Maryam Masoumi, Roohollah Fateh, Mohammad Aghaali, Faezeh Mohammadidana, Ali Saleh, Alireza Rasouli, Faezeh Kabiri

“…Abstract Background and objectives Systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA) are complex autoimmune diseases that present with a range of systemic and oral manifestations including dental decay and alterations in the oral microbiome profile. …”
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Application of the U-Net Deep Learning Model for Segmenting Single-Photon Emission Computed Tomography Myocardial Perfusion Images by Ahmad Alenezi, Ali Mayya, Mahdi Alajmi, Wegdan Almutairi, Dana Alaradah, Hamad Alhamad

“…Background: Myocardial perfusion imaging (MPI) is a type of single-photon emission computed tomography (SPECT) used to evaluate patients with suspected or confirmed coronary artery disease (CAD). Detection and diagnosis of CAD are complex processes requiring precise and accurate image processing. …”
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Adaptive malware identification via integrated SimCLR and GRU networks by Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Walid Said Atwa, Abdulaleem Ali Almazroi, Nasir Ayub, N. Z. Jhanjhi

“…Abstract Malware has become a big issue for digital infrastructure with the growing complexity and frequency of intrusions; it usually avoids conventional detection systems via obfuscation and dynamic behaviour patterns. …”
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A Hybrid Deep Learning Framework for Early-Stage Alzheimer’s Disease Classification From Neuro-Imaging Biomarkers by Samina Akram, Muhammad Amjad Iqbal, Muhammad Rashid, Muhammad Shahid Bhatti, Benish Fida

“…Our ensemble methodology deciphers complex patterns within Magnetic Resonance Imaging, mapping them to specific AD early stages. …”
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Non-Linear Synthetic Time Series Generation for Electroencephalogram Data Using Long Short-Term Memory Models by Bakr Rashid Alqaysi, Manuel Rosa-Zurera, Ali Abdulameer Aldujaili

“…Increasing these values did not improve MSE or cross-correlation and unnecessarily increased computational complexity. The proposed model’s performance was evaluated using the mean-squared error (MSE), Pearson’s correlation coefficient, and the power spectra of the synthetic and original signals, demonstrating the suitability of the proposed method for this application. …”
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Highly customizable, ultrawide-temperature free-form flexible sensing electronic systems based on medium-entropy alloy paintings by Weiwei Li, Yingzhe Li, Manzhang Xu, Yilin Zhou, Ruoyan Miao, Kexin Wang, Yunqiang Cao, Yizhong Song, Siying Dang, Lu Zheng, Xuewen Wang, Wei Huang

“…Abstract High-performance flexible sensing electronics on complex surfaces operating across broad temperatures are critical for aerospace and industrial applications. …”
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A refined lion optimizer for deep learning by Jian Rong, Chenhao Ma, Qinghui Zhang, Yong Cao, Weili Kou

“…The YOLOV8, YOLOV11 on VOC2012 data and Object detection with Vision Transformers on Caltech 101 dataset are trained for Object detection. …”
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Comparative Study of Cell Nuclei Segmentation Based on Computational and Handcrafted Features Using Machine Learning Algorithms by Rashadul Islam Sumon, Md Ariful Islam Mozumdar, Salma Akter, Shah Muhammad Imtiyaj Uddin, Mohammad Hassan Ali Al-Onaizan, Reem Ibrahim Alkanhel, Mohammed Saleh Ali Muthanna

“…<b>Results:</b> Experimental results show that Logistic Regression based on CNN-derived features outperforms the other techniques, achieving an accuracy of 96.90%, a Dice coefficient of 74.24, and a Jaccard coefficient of 55.61. …”
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Far-field ammonia gas sensing at room temperature with graphene nanoplatelets-infused PEDOT:PSS transparent thin film by Vinod K Ganesan, Chun Hui Tan, Pei Song Chee, Jen Hahn Low, Soon Poh Lee, Eng Hock Lim

“…Widely used in various industrial applications, ammonia poses significant environmental and health risks, emphasizing the need for efficient monitoring. Although traditional gas sensing methods effective, they often constrained by high operating temperatures and complex electronic components, limiting their practicality. …”
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LncRNA of peripheral blood mononuclear cells: HYMAI acts as a potential diagnostic and therapeutic biomarker for female major depressive disorder by Tianyi Bu, Jiarun Yang, Jiawei Zhou, Yeran Liu, Kexin Qiao, Yan Wang, Jili Zhang, Erying Zhao, Boakye Kwame Owura, Xiaohui Qiu, Zhengxue Qiao, Yanjie Yang

“…IntroductionAs a common and complex mental disorder, major depressive disorder (MDD) has brought a huge burden and challenges globally. …”
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基于数字图像比色法的食用油酸价检测研究Determination of acid value of edible oil by digital image colorimetry-based method by 李跃凡1，马改琴1，王媛媛1，张帆2，于修烛1LI Yuefan1, MA Gaiqin1, WANG Yuanyuan1, ZHANG Fan2, YU Xiuzhu1

“…综上，数字图像比色法简单、便捷，可用于食用油酸价的检测。 Aiming to detect the acid value of edible oil simply and conveniently, a method based on digital image colorimetry for the detection of acid value of edible oil was established. …”
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ETAFHrNet: A Transformer-Based Multi-Scale Network for Asymmetric Pavement Crack Segmentation by Chao Tan, Jiaqi Liu, Zhedong Zhao, Rufei Liu, Peng Tan, Aishu Yao, Shoudao Pan, Jingyi Dong

“…These findings demonstrate the effectiveness of interpretable, multi-scale attention architectures in complex object detection and image classification tasks, making our approach relevant for broader applications, such as autonomous driving, remote sensing, and smart infrastructure systems.…”
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Precision medicine in oncology: role and prospects of mass spectrometry by E. S. Khmelevskaya, E. A. Perina, E. E. Buyko, A. A. Ufandeev, O. A. Kaidash, V. V. Ivanov, A. N. Baikov, E. V. Parochkina, E. V. Udut

“…Mass spectrometry is becoming an indispensable tool in basic and applied research due to its sensitivity, specificity, and accuracy. It allows for efficient analysis of complex biological compounds, even at low concentrations. …”
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Developing an ISO11783-compliant prescription map for variable rate spraying in vineyards based on 3D canopy reconstruction by Björn Poss, Nikos Tsoulias, Galibjon M. Sharipov, Andreas Heiß, Dimitrios S. Paraforos

“…With the advent of the digital era in viticulture and the use of increasingly complex implements from different manufacturers, a standardised communication interface is essential. …”
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