HU to RGB transformation with automatic windows selection for intracranial hemorrhage classification using ncCT. by Dittapong Songsaeng, Akara Supratak, Pantid Chantangphol, Saowapot Sarumpakul, Natsuda Kaothanthong

“…Experimental results from a deep neural network-based image classification model are utilized to evaluate the effectiveness of the proposed method. …”
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CBMAP: Clustering-Based Manifold Approximation and Projection for Dimensionality Reduction by Berat Dogan

“…To address these challenges, this study introduces a novel approach, CBMAP (Clustering-Based Manifold Approximation and Projection), which explicitly incorporates clustering in the high-dimensional space to guide the embedding. CBMAP computes membership values based on cluster centers in the original space and preserves these memberships during the projection process. …”
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Classifying forensically important flies using deep learning to support pathologists and rescue teams during forensic investigations. by Anna Katharina Gohe, Marius Johann Kottek, Ricardo Buettner, Pascal Penava

“…In this study, two models were evaluated using transfer learning with MobileNetV3-Large and VGG19. …”
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The effect of 6-weeks competition period training on body composition of boxers by Melike Nur Akgul, Oktay Cakmakcı

“…Mean and standard deviation were computed. According to tests of normality, the Independent t-test was used to compare paired groups.  …”
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Innovative Efficiency Measurement Using Stackelberg Games and Neutrosophic Numbers by Ali Asghar Tatlari, Bijan Rahmani Perchkolaei, Farhad Hosseinzadeh Lotfi

“…This empirical study evaluates the efficiencies of 13 Iranian airlines, illustrating how our methodology effectively captures and quantifies operational efficiencies within uncertainty. …”
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Features of diagnostics and surgical treatment of acute anaerobic paraproctitis by E. E. Bolkvadze

“…Severity of patients state and efficacy of treatment was evaluated by SAPS and SOFА scoring systems.Results. …”
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Advancing semantic segmentation: Enhanced UNet algorithm with attention mechanism and deformable convolution. by Effat Sahragard, Hassan Farsi, Sajad Mohamadzadeh

“…This paper presents a novel method for improving semantic segmentation performance in computer vision tasks. Our approach utilizes an enhanced UNet architecture that leverages an improved ResNet50 backbone. …”
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Development of Chrome-Doped Hydroxyapatite in a PVA Matrix Enriched with Amoxicillin for Biomedical Applications by Steluta Carmen Ciobanu, Daniela Predoi, Simona Liliana Iconaru, Krzysztof Rokosz, Steinar Raaen, Coralia Bleotu, Mihai Valentin Predoi

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Probiotic treatment induces sex-dependent neuroprotection and gut microbiome shifts after traumatic brain injury by Morgan Holcomb, Austin G. Marshall, Hannah Flinn, Mariana Lozano-Cavazos, Sirena Soriano, Fernando Gomez-Pinilla, Todd J. Treangen, Sonia Villapol

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Leveraging advanced deep learning and machine learning approaches for snow depth prediction using remote sensing and ground data by Haytam Elyoussfi, Abdelghani Boudhar, Salwa Belaqziz, Mostafa Bousbaa, Karima Nifa, Bouchra Bargam, Abdelghani Chehbouni

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Interactions of the CSF3R polymorphism and early stress on future orientation: evidence for the differential model of stress-related growth by Yiqun Gan, Lizhong Wang, Yidi Chen, Lei Zheng, Xiaoli Wu, Gang Chen, Yueqin Hu

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Microvascular heterogeneity exploration in core and invasive zones of orthotopic rat glioblastoma via ultrasound localization microscopy by Xing Hu, Gaobo Zhang, Yong Wang, Xiandi Zhang, Rong Xie, Xin Liu, Hong Ding

“…ULM is expected to effectively evaluate glioblastoma anti-vascular therapy response. …”
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Identifying gaps and optimising clinical practice and guideline of adrenal incidentaloma management by Chan Khin, Samriaz Nafees, Muhammad Haroon Riasat, Riya Raphael, Mojeed Adiat, Nicholas Mcwhirter, Fatima Ali

“…Key parameters included patient demographics, imaging modalities, lesion characteristics, hormonal evaluations, MDT discussions and management outcomes. …”
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Can unilateral-transforaminal lumbar interbody fusion replace the traditional transforaminal lumbar interbody fusion procedure for lumbar degenerative disc diseases?: a single cent... by Sajan Karunakar Hegde, Appaji Krishnamurthy Krishnan, Vigneshwara Badikkillaya, Sharan Talacauvery Achar, Harith Baddula Reddy, Akshyaraj Alagarasan, Rochita Venkataramanan

“…Clinical and radiological outcomes were evaluated at 6 months, 1 year, 2 years, and 4 years postoperatively. …”
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Lightweight pose estimation spatial-temporal enhanced graph convolutional model for miner behavior recognition by WANG Jianfang, DUAN Siyuan, PAN Hongguang, JING Ningbo

“…Skeleton-sequence-based behavior recognition models are characterized by fast processing speeds, low computational requirements, and simple structures. Graph convolutional networks (GCNs) have advantages in processing skeleton sequence data. …”
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Assessing the biomechanics of scheuermann’s kyphosis affected thoracolumbar spine in forward flexion at the tissue-level using a finite element model by Chunli Wan, Xiaowen Shen, Xixi Wu, Cui Yu, Yi Shao, Ruiping Zhang, Jiao Shang, Jianan Li, Yuting Zhang, Yongqiang Li

“…However, There is a lack of biomechanical studies in the literature that comprehensively evaluate tissue-level stresses and strains in the thoracolumbar spine affected by Scheuermann’s kyphosis, particularly during functional motions such as forward flexion. …”
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LumiLoc: A Low-Light-Optimized Visual Localization Framework for Autonomous Drones by Ruokun Qu, Zhiyuan Wang, Yelu Liu, Chenglong Li, Hui Jiang, Chen Fang

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Nursing and Midwifery Student's Attitudes Toward Vital Signs Monitoring Using an Arabic Version of the V-Scale Instrument and Its Influencing Factors by Mohammad Etoom, Rafi Alnjadat, Eshraq Al Momani, Amer Al-Omari, Murad Al-ta’ani

“…Therefore, it is important to evaluate the students’ attitudes toward this skill. …”
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Experiences and Expectations: Drivers of Urban Tourist Destination Competitiveness by Vladimir Pavković, Tamara Vlastelica, Milica Kostić-Stanković, Jasmina Dlačić

“…Data: The study was conducted on a sample of 312 respondents from Belgrade, a large outbound tourist centre, who met the pre-established set of criteria. Computer-aided web interviewing (CAWI) was used for data collection. …”
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Acceptability, engagement, outcomes, and dose–response associations of a mindfulness-based meditation app in individuals waiting for psychological services by Alexander R. Daros, Alina Patel, Oghenetega Otevwe, Santiago Sotelo, Bechara J. Saab, Lena C. Quilty

“…We also evaluated the dose–response association between app use and functional disability. …”
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