Laryngeal disease classification using voice data: Octave-band vs. mel-frequency filters by Jaemin Song, Hyunbum Kim, Yong Oh Lee

“…Mel Frequency Cepstral Coefficients (MFCCs) are widely used for voice analysis, but Octave Frequency Spectrum Energy (OFSE) may offer better accuracy in detecting subtle voice changes. …”
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BLADE: An Automated Framework for Classifying Light Curves from the Center for Near-Earth Object Studies Fireball Database by Elizabeth A. Silber, Vedant Sawal

“…Events associated with infrasound detections allow direct correlations between acoustic signatures and light curve features, therefore enabling detailed analyses of fragmentation dynamics and energy deposition. …”
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Estimating gait parameters from sEMG signals using machine learning techniques under different power capacity of muscle by Shing-Hong Liu, Alok Kumar Sharma, Bo-Yan Wu, Xin Zhu, Chun-Ju Chang, Jia-Jung Wang

“…Abstract The gait analysis has been applied in many fields, such as the assessment of falling, force evaluation in sports, and gait disorder detection for neuromuscular diseases. …”
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RADAI: A Deep Learning-Based Classification of Lung Abnormalities in Chest X-Rays by Hanan Aljuaid, Hessa Albalahad, Walaa Alshuaibi, Shahad Almutairi, Tahani Hamad Aljohani, Nazar Hussain, Farah Mohammad

“…Moreover, deep learning algorithms, particularly convolutional neural networks (CNNs), have demonstrated remarkable potential in automating medical image analysis, including chest X-rays. This work addresses the challenge of chest X-ray interpretation by fine tuning the following three advanced deep learning models: Feature-selective and Spatial Receptive Fields Network (FSRFNet50), ResNext50, and ResNet50. …”
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Medical slice transformer for improved diagnosis and explainability on 3D medical images with DINOv2 by Gustav Müller-Franzes, Firas Khader, Robert Siepmann, Tianyu Han, Jakob Nikolas Kather, Sven Nebelung, Daniel Truhn

“…We introduce the Medical Slice Transformer (MST) framework to adapt 2D self-supervised models for 3D medical image analysis. MST combines a Transformer architecture with a 2D feature extractor, i.e., DINOv2. …”
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Cancer metabolism rewiring and chromatin methylation: a vulnerable epi-metabolic link by Sandra Atlante, Sandra Atlante, Veronica Barbi, Carlo Gaetano, Barbara Illi

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Revisiting the Chemical Composition of WD 1145+017: Impact of Circumstellar Disk Contamination on Photospheric Abundances by Érika Le Bourdais, Patrick Dufour, Siyi Xu

“…We present an updated gas disk model with improved opacity calculations and temperature profiles to properly account for all circumstellar absorption features. Incorporating these changes into our models, we identified at least 11 elements in the disk, including a detection of circumstellar Na. …”
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Spatiotemporal molecular tracing of ultralow-volume biofluids via a soft skin-adaptive optical monolithic patch sensor by Yeon Soo Lee, Seyoung Shin, Gyun Ro Kang, Siyeon Lee, Da Wan Kim, Seongcheol Park, Youngwook Cho, Dohyun Lim, Seung Hwan Jeon, Soo-Yeon Cho, Changhyun Pang

“…Inspired by tree frog toe pads, the 3D MIN features soft, hexagonally aligned pillars and microchannels for conformal adhesion and targeted fluid management. …”
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Advancing ECG Signal Classification With a Fuzzy Classifier Approach by Jan Rabcan, Vitaly Levashenko, Elena Zaitseva, Miroslav Kvassay

“…The analysis of ECG signals plays an important role in healthcare, particularly for the detection of heart conditions such as arrhythmia, coronary artery disease, or heart attack. …”
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Association of chromosomal aberrations in chromosomes 3 and 7, and P16 mutations with malignancy in salivary gland tumors by Yanxia Wu, Zhiyue Xie, Nan Peng, Rui Zhou, Liang Zhao

“…Background Salivary gland tumors, a prevalent type of head and neck neoplasm, exhibit significant morphological diversity and overlapping features, complicating pathological diagnosis. Although fluorescence in situ hybridization (FISH) is widely used for tumor detection, its diagnostic utility in salivary gland tumors remains unclear. …”
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Gliosarcoma: report of four cases with immunohistochemical findings by Tiago Noguchi Machuca, Daniel Monte-Serrat Prevedello, Leonora Zozula Blind Pope, Salo Semelman Haratz, João Cândido Araújo, Luiz Fernando Bleggi Torres

“…Immunohistochemical analysis was positive for p53 in both glial and sarcomatous cells in all four cases. …”
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A Noise-Robust, Baseline-Free, and Adaptive Damage Indicator of Plate-like Structures Based on the Multicomponent Information Separation of High-Resolution Mode Shapes Using Wavele... by Yuexin Wang, Tongfa Deng, Jinwen Huang, Maosen Cao, Dragoslav Sumarac

“…The method decomposes mode shape information into noise, damage-related features, and waveform trends. The methodology begins with optical dynamic measurement to capture high-resolution mode shapes, followed by two-dimensional continuous wavelet transform (2D-CWT) for multiscale analysis. …”
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Spatiotemporal Flood Hazard Classification in Bangkok Using Graph Convolutional Network and Temporal Fusion Transformer by Pakpoom Chaimook, Nirattaya Khamsemanan, Cholwich Nattee, Alice Sharp

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Natural language processing in Alzheimer's disease research: Systematic review of methods, data, and efficacy by Arezo Shakeri, Mina Farmanbar

“…The use of pretrained multilingual models is recommended to improve AD detection across different languages by leveraging diverse speech features and utilizing publicly available datasets.…”
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THE CURRENT STATE OF ARTIFICIAL INTELLIGENCE IN RADIOLOGY – A REVIEW OF THE BASIC CONCEPTS, APPLICATIONS, AND CHALLENGES by Mariana Yordanova

“…There are numerous applications of AI in radiology - image segmentation, objective quantification, detecting and highlighting suspicious areas, image processing and optimization, longitudinal analysis, potentially diagnosis recognition, triage, and reporting aid. …”
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Clinical Characteristics of Neurofibromatosis Type 1 in the Republic of Bashkortostan by R. N. Mustafin

“…Discussion. A comparative analysis of the characteristics of NF1 in patients from the Republic of Bashkortostan with global data showed a significantly rarer detection of neurofibromas, Lisch nodules, optic nerve gliomas, intellectual disabilities and psychological disorders. …”
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Artificial intelligence in pancreatic intraductal papillary mucinous neoplasm imaging: A systematic review. by Muhammad Ibtsaam Qadir, Jackson A Baril, Michele T Yip-Schneider, Duane Schonlau, Thi Thanh Thoa Tran, C Max Schmidt, Fiona R Kolbinger

“…Based on the Fukuoka and Kyoto international consensus guidelines, the current clinical management of intraductal papillary mucinous neoplasm (IPMN) largely depends on imaging features. While these criteria are highly sensitive in detecting high-risk IPMN, they lack specificity, resulting in surgical overtreatment. …”
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Evaluating Red Patches and Burning Mouth Symptoms as Oral Biomarkers in Cobalamin Deficiency: A Comparative Study by Sanjay Chikkarasinakere Jogigowda MDS, Karthikeya Patil MDS, Varusha Sharon Christopher MDS, Namrata Suresh MDS, Shilpa Padar Shastry MDS, Vidya Gowdappa Doddawad MDS

“…Logistic regression analysis showed high accuracy (98.3%) in distinguishing between groups based on these markers. …”
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Efficiency-based methodology for the selection of electric motors for mini-tractor propulsion by Alibek Ibraim, Bakhyt Absadykov, Troha Sanjin, Marković Kristina, Vrcan Željko

“…As the driveline has to provide substantial torque while maintaining optimal operating conditions and avoiding overheating, a series of experiments were conducted, covering various electric motor configurations operating within the 60V range, with power outputs ranging from 1000 to 1500 watts and including multiple gearbox variations. A comparative analysis was performed to assess the advantages and disadvantages of direct chain drive transmission solutions without a differential on a rigid axle, in contrast to a sealed motor-gearbox unit featuring differential and semi-axles. …”
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Imaging spectroscopy (hyperspectral remote sensing) in southern Africa: an overview by O. Mutanga, J. van Aardt, L. Kumar

“…Recent developments in imaging spectroscopy have seen a dramatic improvement in the characterisation of terrestrial features due to the high spectral resolution of the sensors used. …”
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