Classification of Flying Drones Using Millimeter-Wave Radar: Comparative Analysis of Algorithms Under Noisy Conditions by Mauro Larrat, Claudomiro Sales

“…Our results demonstrate the importance of noise in processing radar signals and the benefits afforded by a multimodal presentation of data in detecting unmanned aerial vehicle and birds. …”
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Brain-derived neurotrophic factor as a target for the search of anti-addiction drugs by M. S. Khalimanov, E. M. Grigorevskikh, K. A. Zavadich, S. I. Sologov, D. A. Traschenkova, K. A. Tatzhikova, E. V. Polikarpov, S. S. Sologova, D. A. Kudlay, E. A. Smolyarchuk

“…Based on the data obtained, a hypothesis about the prospective use of BDNF and its signaling pathways as potential targets for developing new pharmacological agents aimed at the treatment of alcohol dependence, have been formulated. …”
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The Neural Correlates of Chewing Gum—A Neuroimaging Review of Its Effects on Brain Activity by James Chmiel, Agnieszka Malinowska

“…Methods: Using a targeted search strategy, we screened the major databases (PubMed/Medline, Scopus, ResearchGate, Google Scholar, and Cochrane) from January 1980 to March 2025 for clinical studies published in English. …”
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Does Artificial Intelligence Bring New Insights in Diagnosing Phlebological Diseases?—A Systematic Review by Sergiu-Ciprian Matei, Sorin Olariu, Ana-Maria Ungureanu, Daniel Malita, Flavia Medana Petrașcu

“…The future of AI in venous diagnostics is promising, and several areas of development were noted, including AI algorithms embedding directly into ultrasound devices to provide instantaneous diagnostic insights during patient evaluations; combining AI-processed Doppler data with other imaging modalities, such as computed tomography or MRI, for comprehensive assessments; AI usage in order to predict disease progression and tailor treatment strategies based on individual patient profiles; and constructing large-scale, multicenter datasets to improve the robustness and generalizability of AI algorithms.…”
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End-of-Line Quality Control Based on Mel-Frequency Spectrogram Analysis and Deep Learning by Jernej Mlinarič, Boštjan Pregelj, Gregor Dolanc

“…Recorded signals are transformed directly into Mel-frequency spectrograms (MFS) without pre-processing. To remove non-informative frequency bands and increase data relevance, a six-step data reduction procedure was implemented. …”
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NSGT: A Plasma Position Prediction Method for the HL-2A Tokamak Device Based on Transformer by Ling Zhou, Bin Yang, Xiangcheng Lin, Kaihao Zhu, Ziran Lan, Xiangwen Li

“…To address the problem that the performance of traditional methods is hard to enhance further, we propose a Non - Stationary - Gated Linear Unit Transformer (NSGT) model integrating multi - source data processing. …”
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Crosstalk analysis in single hole-spin qubits within highly anisotropic g-tensors by Yaser Hajati, Irina Heinz, Guido Burkard

“…Our analysis proposes optimized driving field conditions that can robustly synchronize Rabi oscillations and minimize crosstalk, showing a strong dependence on qubit anisotropy and the orientation of the external magnetic field. Taking experimental data into our analysis, we identify a set of parameter values that enable nearly crosstalk-free single-qubit gates, thereby paving the way for scalable quantum computing architectures.…”
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Edge computing-enabled energy efficiency prediction of immersion cooling system for supercomputing centers by Shuaiyin Ma, Yichun Cao, Yang Liu

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RaGeoSense for smart home gesture recognition using sparse millimeter wave radar point clouds by Honghong Chen, Xiangyu Wang, Zhanjun Hao, Yuru Lu, Jingyu Li, Haozhe Zhang, Ben Xi

“…Subsequently, the generated point cloud data are processed with sliding sequence sampling and point cloud tiling to extract the spatio-temporal features of the action. …”
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A robust multi-model framework for groundwater level prediction: The BFSA-MVMD-GRU-RVM model by Akram Seifi, Sharareh Pourebrahim, Mohammad Ehteram, Hanieh Shabanian

“…The key points of the paper are the successful effectiveness of MVMD in processing non-stationary time series and improving the predictive performance of the models, as well as the high ability of the GRU model in data feature extraction. …”
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Carbon Footprint Assessment in Shrimp Pond Farming of Penaeus vannamei Based on Life Cycle Assessment Methods by Yunfei WANG, Xinmeng WANG, Ying LI, Jinzhen YU, Jie KONG, Jihong ZHANG

“…Here, the carbon footprint of P. vannamei pond culture was assessed using the "gate-to-gate" LCA methodology, based on primary data from on-site monitoring of culture ponds and aquaculture enterprises in Shandong Province. …”
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Abstract visual reasoning based on algebraic methods by Mingyang Zheng, Weibing Wan, Zhijun Fang

“…Abstract Extracting high-order abstract patterns from complex high-dimensional data forms the foundation of human cognitive abilities. …”
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The Role of Vitamin D in the Management of Major Depressive Disorder: A Systematic Review by Andreea Roșian, Mihaela Zdrîncă, Luciana Dobjanschi, Laura Grațiela Vicaș, Mariana Eugenia Mureșan, Camelia Maria Dindelegan, Rita Ioana Platona, Eleonora Marian

“…In this regard, relevant articles were searched on platforms such as PubMed, MDPI, ResearchGate, Springer Link, Springer Open, and ScienceDirect. …”
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Clear Cell Acanthoma/Pseudolymphoma: Clinical­ Dermatoscopic and Histological Correlation by Shulaia T., Kiladze N., Miriamidze A.

“…The article describes dermatoscopic characteristics and their correlation with the data of pathomorphological stud­ ies in two cases from our own practice ­ clear cell acanthoma and pseudolymphoma. …”
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Statistical investigation of characteristic parameters for Au/p-TlInS2/n-InP pseudo Schottky junctions produced under the same conditions by Bahattin Abay, Dilek Aslancan, Nezaket Kulakac, Ayşe Nida Beştaş, Fatih Aktaş, Seda Yazıcı

“…PSJs were made with a significant barrier height (BH) enhancement, typically by the value of 0.260 eV for gold Schottky gate, after the second annealing process at 200 oC in a nitrogen atmosphere for 5 minutes. …”
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BERT-based network for intrusion detection system by Yong Yang, Xing Peng

“…After feature extraction is completed, we further perform classification using a classifier based on a bidirectional gated recurrent unit (GRU) network, which is able to efficiently process sequence data and reduce computational complexity while capturing temporal dependencies in the sequences. …”
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Smart indoor monitoring for disabled individuals using an ensemble of deep learning models in an IoT environment by Faisal S. Alsubaei, Abdulrahman A. Alshdadi, Mohammed Rizwanullah

“…Internet of Things (IoT) based health systems have an important part in medical assistance and help in enhancing data processing and its prediction. Communicating data or reports requires more time and energy, in addition to causing energy problems and greater latency. …”
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Design and analysis of quantum machine learning: a survey by Linshu Chen, Tao Li, Yuxiang Chen, Xiaoyan Chen, Marcin Wozniak, Neal Xiong, Wei Liang

“…However, with the exponential growth of data amount and the increase of model complexity, the processing efficiency of machine learning declines rapidly. …”
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Signal-Induced Heap Transform-Based QR-Decomposition and Quantum Circuit for Implementing 3-Qubit Operations by Artyom M. Grigoryan, Alexis Gomez, Isaac Espinoza, Sos S. Agaian

“…This transform is generated by a given signal and may use different paths, or orders, of processing the data, and, among them, one can find paths that allow one to construct efficient quantum circuits for implementing multi-qubit unitary gates. …”
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A Comprehensive Design of Hybrid Residual (2+1)-Dimensional CNN and Dense Networks With Multi-Modal Sensor for Fish Appetite Detection by Infall Syafalni, Agape D'Sky, Nana Sutisna, Trio Adiono

“…Furthermore, the accelerometer data is used to train several networks such as 1-dimensional Convolutional Neural Networks (CNN), Gated Recurrent Networks (GRU), and Dense Networks or Artificial Neural Networks (ANN). …”
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