Real-Time Dolphin Whistle Detection on Raspberry Pi Zero 2 W with a TFLite Convolutional Neural Network by Rocco De Marco, Francesco Di Nardo, Alessandro Rongoni, Laura Screpanti, David Scaradozzi

“…This work achieved a critical balance between computational efficiency and detection fidelity (F1-score: 86.9%) by leveraging quantized, multithreaded inference. …”
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Prediction on Permeability Coefficient of Continuously Graded Coarse-Grained Soils: A Data-Driven Machine Learning Method by Jinhua Wang, Haibin Ding, Lingxiao Guan, Yulin Wang

“…Compared to a traditional empirical model (R² = 0.9031), BPNN improved prediction accuracy by 10.13%, demonstrating the advantage of data-driven methods for evaluating CGS permeability.…”
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AI for Sustainable Recycling: Efficient Model Optimization for Waste Classification Systems by Oriol Chacón-Albero, Mario Campos-Mocholí, Cédric Marco-Detchart, Vicente Julian, Jaime Andrés Rincon, Vicent Botti

“…We introduce an expanded dataset that includes an organic waste class and more heterogeneous images, and evaluate a range of quantized CNN models to reduce inference time and resource usage. …”
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Diagnostic accuracy of technetium-99m-octreotide in imaging neuroendocrine tumors, Oman hospital experience with literature review by Naima Al Bulushi, Badriya Al Suqri, Marwa Al Aamri, Aymen Al Hadidi, Hafidh Al Jahdami, Mohammed Al Zadjali, Mimouna Al Risi

“…The aim of this observational cross-sectional study with retrospective review of the data is to evaluate the efficacy of using technetium-99m-octreotide (Tc-99m-OCT) in imaging neuroendocrine tumors (NETs) in our tertiary care hospital. …”
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Global Geomagnetic Perturbation Forecasting Using Deep Learning by Vishal Upendran, Panagiotis Tigas, Banafsheh Ferdousi, Téo Bloch, Mark C. M. Cheung, Siddha Ganju, Asti Bhatt, Ryan M. McGranaghan, Yarin Gal

“…When deployed, our model produces results in under a second, and generates global forecasts for horizontal magnetic perturbation components at 1 min cadence. We evaluate our model across models in literature for two specific storms of 5 August 2011 and 17 March 2015, while having a self‐consistent benchmark model set. …”
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Characterization and modelling of milling induced damage in the carbon fibre reinforced composite laminates by Sergio Luiz Moni Ribeiro Filho, Alfredo Rocha de Faria, Mauricio Vicente Donadon

“…Machining-induced delamination is evaluated using native cohesive interface elements available in ABAQUS FE code. …”
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Photodegradation Assessment of Calcipotriol in the Presence of UV Absorbers by UHPLC/MS^E by Małgorzata Król, Paweł Żmudzki, Adam Bucki, Agata Kryczyk-Poprawa

“…This finding underscores the necessity of evaluating photostability under real-life conditions, as cosmetic ingredients, when co-applied with topical drugs on the skin, may substantially influence the stability profile of the pharmaceutical active ingredient. …”
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Hepatic Encephalopathy Scoring Model in Hepatic Cirrhosis Based on Clinical and Laboratory Parameter by Kadek Mercu Narapati Pamungkas, Putu Itta Sandi Lesmana Dewi, Ni Luh Putu Yunia Dewi, Ni Nyoman Gita Kharisma Dewi, Dwijo Anargha Sindhughosa, Ketut Mariadi

“…The scoring model was formulated and evaluated based on its sensitivity and specificity. …”
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Analysis of drug gene detection after intracranial drug-coated balloon operation by Wu Mingxin, Qin Peng, Xu Shaowen, Zhang Qizhi

“…[Objective] To observe the difference between antiplatelet therapy after drug-coated balloon angioplasty guided by drug gene detection and conventional antiplatelet therapy, and to evaluate the benefit of drug gene guided medication. …”
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Preoperative abductor muscle strength on the healthy side affects the Timed Up and Go test after total hip arthroplasty in women by Takehiro Kawakami, Takashi Imagama, Yuta Matsuki, Tomoya Okazaki, Takehiro Kaneoka, Kazuhiro Yamazaki, Masaya Ueda, Takashi Sakai

“…The Timed Up and Go test (TUG) is utilized to evaluate fall risk. This study investigated muscle volume around the hip joint based on computed tomography (CT), CT value, and muscle strength to investigate contributing factors to poor TUG 1 year post-THA. …”
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Cross-subject affective analysis based on dynamic brain functional networks by Lifeng You, Tianyu Zhong, Erheng He, Xuejie Liu, Qinghua Zhong

“…IntroductionEmotion recognition is crucial in facilitating human-computer emotional interaction. To enhance the credibility and realism of emotion recognition, researchers have turned to physiological signals, particularly EEG signals, as they directly reflect cerebral cortex activity. …”
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Validity of maternal self-reported antibiotic consumption in children: A population-based study by Javad Nazari, Nahid Chezani-Sharahi, Yeganeh Karimi, Mobin Naghshbandi, Rahmatollah Moradzadeh

“…The primary objective of this study is to evaluate the accuracy of maternal self-reported antibiotic use in children aged 0–6 years in Iran by comparing it with prescription data from insurance records. …”
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A new digital biomarker of Demodex blepharitis: energy curve of the meibomian edge by Minjia Wang, Xiaoyu Chen, Kesheng Wang, Kunhui Xu, Xinxin Yu, Qi Dai, Qi Dai, Min Ren

“…The lower margin curve of MGs was extracted using an active contour model (Snake) to compute a composite energy value that integrates elastic, curvature, and smoothness energies. …”
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Experience in the use of lung ultrasound in patients of the respiratory hospital of Siberian State Medical University with COVID-19 pneumonia by Ya. V. Porovskiy, I. D. Bespalova, T. V. Sorokina, A. Ju. Dish, A. F. Kanev, Yu. I. Koshchavtseva, E. V. Chuyashenko, O. S. Shoulga, A. A. Balabanova

“…Aim. To evaluate the possibility of using lung ultrasound for diagnosing COVID-19 pneumonia in patients of the respiratory hospital of Siberian State Medical University (SSMU).Materials and methods. …”
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EMD-based local matching for occluded person re-identification by Hoang-Anh Nguyen, Thuy-Binh Nguyen, Hong-Quan Nguyen, Thi-Lan Le

“…Person re-identification (Re-ID) is a vital computer vision task focused on matching images of a person of interest as they move across multiple non-overlapping cameras. …”
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Coprime dual-velocity encoding for extended velocity dynamic range in 4D flow magnetic resonance imaging by Marta Beghella Bartoli, Sara Boccalini, David Chechin, Loic Boussel, Philippe Douek, Damien Garcia, Monica Sigovan

“…A digital twin of the phantom allowed comparison of the MRI measurements with computational fluid dynamics (CFD) simulations. Three patients with different cardiac pathologies were scanned in order to evaluate the in vivo feasibility of the proposed method. …”
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Clinical application of microwave ablation combined with coaxial needle biopsy using different sequences for treating lung nodules suggestive of malignancy by Yibing Li, Xinyou Su, Ruobing Li, Jianqiang Zhao, Aimei Ouyang, Taiyang Zuo

“…Objective This study aimed to evaluate the safety and efficacy of computed tomography (CT)-guided percutaneous microwave ablation (MWA) combined with coaxial needle biopsy performed in different sequences for treating lung nodules with signs of malignancy.Methods A retrospective analysis was conducted on 51 patients (56 lesions) with lung nodules treated with MWA and coaxial needle biopsy between January 2020 and March 2024. …”
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Oocyte Cryopreservation: Retrospective Analysis of 5 Years Experience by Halime Goktepe, Esengul Turkyilmaz, Gulsen Dogan Durdag, Murat Sonmezer, Cem Atabekoglu, Batuhan Ozmen

“…STUDY DESIGN: Patients who applied to the Reproductive Endocrinology and Infertility Unit of Ankara University School of Medicine between January 2014 and December 2018 with the request of oocyte freezing were included in this study. The files and computer records of the patients were analyzed retrospectively and sociodemographic, clinical and laboratory data were evaluated. …”
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A novel MRI-based habitat analysis and deep learning for predicting perineural invasion in prostate cancer: a two-center study by Shuitang Deng, Danjiang Huang, Xiaoyu Han, He Zhang, Hui Wang, Guoqun Mao, Weiqun Ao

“…Receiver operating characteristic curve analysis was performed to evaluate the models’ ability to predict PNI. Results The four habitat models exhibited robust performance in predicting PNI, with area under the curve (AUC) values of 0.862–0.935, 0.802–0.957, and 0.859–0.939 in the training, in-vad, and ex-vad cohorts, respectively. …”
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Methodical Approach to fMRI Assessment of Motor Connectome in Patients After Severe Traumatic Brain Injury by M. V. Stern, E. V. Sharova, L. A. Zhavoronkova, V. T. Dolgikh, A. N. Kuzovlev, I. N. Pronin

“…Motor impairment was evaluated via muscle strength assessment using a five-score scale. …”
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