Classification of musculoskeletal pain using machine learning by Dalia Mohamed Fouad, Marwa Mahmoud Mahfouz, Mohammed Mostafa Mohamed, Mahmoud Yassin Elzanaty, Tarek Abd El-Hafeez

“…By integrating PSO with neural networks, this framework aims to enhance the detection of pain risk patterns, offering insights into the interplay between various factors and musculoskeletal health. …”
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Pegmatites of the Larsemann Hills oasis, East Antarctica: new field geological and geophysical data by Ivan A. Babenko, Irina V. Talovina, Dmitrii E. Ushakov, Nikita S. Krikun

“…These include borosilicate D2-3 pegmatites, rare-metal D4 pegmatites, muscovite-bearing post-D4 pegmatites, as well as two newly identified types not previously described in the region: K-feldspar D4' pegmatites and miarolitic rare-metal post-D4' pegmatites, which differ in morphology, mineralogy, and geochemical features. Special attention is given to the structural-tectonic control of pegmatite bodies, their geological setting, zoning patterns, and the results of gamma spectrometric and magnetic surveys. …”
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Investigating the role of thrombosis and false lumen orbital orientation in the hemodynamics of Type B aortic dissection by Joseph C. E. Messou, Kelly Yeung, Eric Sudbrook, Jackie Zhang, Shahab Toursavadkohi, Areck A. Ucuzian, Eleonora Tubaldi

“…Abstract While much about the fundamental mechanisms behind the initiation and progression of Type B aortic dissection (TBAD) is still unknown, predictive models based on patient-specific fluid-structure interaction (FSI) simulations can help in risk stratification and optimal clinical decision-making. Aiming at the development of personalized treatment, FSI models can be leveraged to investigate the interplay between complex aortic flow patterns and anatomical features, while considering the deformation of the arterial wall and the dissection flap. …”
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Construction of intelligent gymnastics teaching model based on neural network and artificial intelligence by Guanxi Fan, Yu Wang, Tongling Wang, Dapeng Yang

“…Abstract This study aims to develop intelligent gymnastics teaching model based on Artificial Neural Network (ANN). …”
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BCINetV1: Integrating Temporal and Spectral Focus Through a Novel Convolutional Attention Architecture for MI EEG Decoding by Muhammad Zulkifal Aziz, Xiaojun Yu, Xinran Guo, Xinming He, Binwen Huang, Zeming Fan

“…The BCINetV1 utilizes three innovative components: a temporal convolution-based attention block (T-CAB) and a spectral convolution-based attention block (S-CAB), both driven by a new convolutional self-attention (ConvSAT) mechanism to identify key non-stationary temporal and spectral patterns in the EEG signals. Lastly, a squeeze-and-excitation block (SEB) intelligently combines those identified tempo-spectral features for accurate, stable, and contextually aware MI EEG classification. …”
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Brain inspired iontronic fluidic memristive and memcapacitive device for self-powered electronics by Muhammad Umair Khan, Bilal Hassan, Anas Alazzam, Shimaa Eissa, Baker Mohammad

“…Our IFM successfully replicates diverse electric pulse patterns, making it highly suitable for neuromorphic computing. …”
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Different levels of policy change: A comparison between the public discussion on social security in Sweden and in Finland by Christian Kroll, Helena Blomberg

“…Results further show that the patterns of the discussion in the two countries studied bore a remarkable resemblance at a general level, whereas there are indications of differences in the driving forces behind suggestions for similar reforms in these two countries.…”
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Exploring the Complexity of Pan-Cancer: Gene Convergences and in silico Analyses by Teodoro L, Carreira ACO, Sogayar MC

“…To achieve this, we conducted an in silico analysis using publicly available datasets, which facilitated the identification of both common and divergent genetic and molecular patterns across different tumor types. By integrating these diverse areas, this review offers a clearer and deeper understanding of the factors influencing tumorigenesis and highlights potential therapeutic targets.Keywords: pan-cancer, tumor therapy, tumor biomarkers…”
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Comparative transcriptome analysis of PBMCs in cats diagnosed with and recovered from FIPV by Ju Young Lee, Hyeong Ryeol Cho, Hong-Geun Oh, Jeong Ho Hwang

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Exploiting Artificial Neural Networks for the State of Charge Estimation in EV/HV Battery Systems: A Review by Pierpaolo Dini, Davide Paolini

“…Specifically, ANN models excel at detecting subtle, complex patterns that reflect battery health and performance, crucial for accurate SOC estimation. …”
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Visible and Near-Infrared Reflectance Spectroscopy for Investigating Soil Mineralogy: A Review by Qian Fang, Hanlie Hong, Lulu Zhao, Stephanie Kukolich, Ke Yin, Chaowen Wang

“…Clay minerals in soils are more complex and less well crystallized than those in sedimentary rocks, and thus, they display more complicated X-ray diffraction (XRD) patterns. Traditional characterization methods such as XRD are usually expensive and time-consuming, and they are therefore inappropriate for large datasets, whereas visible and near-infrared reflectance spectroscopy (VNIR) is a quick, cost-efficient, and nondestructive technique for analyzing soil mineralogic properties of large datasets. …”
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Novel Technique for Backside Alignment Using Direct Laser Writing by Melissa Mitchell, Siva Sivaraya, Simon J. Bending, Ali Mohammadi

“…Backside patterns that are aligned to these copper features are created using photolithography through the application of this alignment method. …”
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Identification of cell adhesion related signature for molecular subtyping and prognostic prediction in acute myeloid leukemia by Caifang Zhao, Xiang Weng, Wei He

“…A prognostic model comprising 8 genes was developed, showing strong predictive power for overall survival and significant correlations with immune cell infiltration patterns. …”
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Surrogate data analyses of the energy landscape analysis of resting-state brain activity by Yuki Hosaka, Takemi Hieda, Ruixiang Li, Kenji Hayashi, Koji Jimura, Teppei Matsui

“…However, many of these techniques are based on momentary temporal correlation and co-activation patterns and merely reflect linear features of the data, suggesting that the dynamic features, such as state-switching, extracted by these techniques may be misinterpreted. …”
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mindLAMPVis as a Co-Designed Clinician-Facing Data Visualization Portal to Integrate Clinical Observations From Digital Phenotyping in Schizophrenia: User-Centered Design Process a... by Karthik Sama, Jaya Sreevalsan-Nair, Soumya Choudhary, Srilakshmi Nagendra, Preethi V Reddy, Asher Cohen, Urvakhsh Meherwan Mehta, John Torous

“…In partnership with clinicians for co-designing the app, we explored the feasibility of a comparative visualization tool for discovering patterns across different time stamps for a single patient or any patterns across patients related to the relapse episode. …”
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DNA damage response signatures are associated with frontline chemotherapy response and routes of tumor evolution in extensive stage small cell lung cancer by Benjamin B. Morris, Simon Heeke, Yuanxin Xi, Lixia Diao, Qi Wang, Pedro Rocha, Edurne Arriola, Myung Chang Lee, Darren R. Tyson, Kyle Concannon, Kavya Ramkumar, C. Allison Stewart, Robert J. Cardnell, Runsheng Wang, Vito Quaranta, Jing Wang, John V. Heymach, Barzin Y. Nabet, David S. Shames, Carl M. Gay, Lauren A. Byers

“…While most SCLCs respond to frontline therapy, resistance inevitably develops. Identifying phenotypes potentiating chemoresistance and immune evasion is a crucial unmet need. …”
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An Informer-based multi-scale model that fuses memory factors and wavelet denoising for tidal prediction by Peng Lu, Yuchen He, Wenhui Li, Yuze Chen, Ru Kong, Teng Wang

“…Tidal time series are affected by a combination of astronomical, geological, meteorological, and anthropogenic factors, revealing non-stationary and multi-period features. The statistical features of non-stationary data vary over time, making it challenging for typical time series forecasting models to capture their dynamism. …”
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Acceptability of an AI-enabled family module in a mobile app for enhanced diabetes management: Patient and family perspectives by Sungwon Yoon, Rena Lau, Yu Heng Kwan, Huiyi Liu, Razeena Sahrin, Jie Kie Phang, Yichi Zhang, Nicholas Graves, Lian Leng Low

“…Inductive thematic analysis using the constant-comparative method was performed to identify and interpret patterns within the data. Results A total of 25 patients with T2DM and 25 family members participated in the study. …”
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Impact of short-term aircraft noise on cardiovascular disease risk in the area surrounding London Heathrow airport: the RISTANCO epidemiological study by Xiangpu Gong, Nicole Itzkowitz, Calvin Jephcote, Kathryn Adams, Glory O Atilola, John Gulliver, Marta Blangiardo, Anna Hansell

“…In our experiment, we therefore used the natural feature of wind direction changes that alter the flight paths as aircraft take off into the wind (broadly speaking 70% of the time Heathrow operates on a westerly pattern and 30% on an easterly), which meant that we could select from all days between 2014 and 2018 and all areas near the airport. …”
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Advanced Computer Vision Methods for Avian Risk Assessment Using Multispectral Drones by Dimitrios Mpouziotas, Petros Karvelis, Ioulia Kapsali, Chrysostomos Stylios, Vasilios Tsiouris

“…This system leverages state-of-the-art computer vision techniques with spatial analysis characteristics to analyze wildlife bird behavior through optical cameras and extract features for each bird. Coupled with data derived from thermal imagery as a crucial factor, it can perform a comprehensive risk assessment by correlating thermal patterns with behavioral insights, utilizing the Analytic Hierarchy Process (AHP) method. …”
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