Face Boundary Formulation for Harmonic Models: Face Image Resembling by Hung-Tsai Huang, Zi-Cai Li, Yimin Wei, Ching Yee Suen

“…The boundary and numerical techniques of face images in this paper can be used not only for pattern recognition but also for face morphing, morphing attack detection (MAD), and computer animation as Sora to greatly enhance further developments in AI.…”
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The viral and cellular microRNA targetome in lymphoblastoid cell lines. by Rebecca L Skalsky, David L Corcoran, Eva Gottwein, Christopher L Frank, Dong Kang, Markus Hafner, Jeffrey D Nusbaum, Regina Feederle, Henri-Jacques Delecluse, Micah A Luftig, Thomas Tuschl, Uwe Ohler, Bryan R Cullen

“…Here, we used photoactivatable ribonucleoside-enhanced crosslinking and immunoprecipitation (PAR-CLIP) combined with deep sequencing and computational analysis to comprehensively examine the viral and cellular miRNA targetome in EBV strain B95-8-infected lymphoblastoid cell lines (LCLs). …”
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Comparison of the CT-based micromotion analysis method versus marker-based RSA in measuring femoral head translation and evaluation of its intra- and interobserver reliability: a p... by Vasileios Angelomenos, Bita Shareghi, Raed Itayem, Maziar Mohaddes

“… Background and purpose: Computed tomography radiostereometric analysis (CT-RSA) assesses implant micromovements using low-dose CT scans. …”
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Injuries from blank cartridge shots in suicide attempts within the South Korean military: a case series of five patients by Jeong Il Joo, Changsin Lee, Kyungwon Lee

“…Although initial vital signs and laboratory findings were unremarkable, computed tomography scans revealed injuries from projectile gas and gunpowder, including burns, subcutaneous emphysema, and major structural damage. …”
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INTRASPECIFIC VARIABILITY OF THE Sus1 SUCROSE SYNTHASE GENE IN Pisum sativum ACCESSIONS by E. A. Dyachenko, M. A. Slugina

“…It was shown that their sequences were invariable in all the tested accessions. Computational analysis of the amino acid sequences has predicted Sus1 tertiary structure. …”
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Urinary phthalate metabolites associated with increased prevalence of gallstone disease in U.S. adults: data from the NHANES study by Feng Jia, Yu Chang, Yuguang Li, Fangqi Li, Xinqiao Chen, Xiangliang Liu, Wei Li, Jiuwei Cui

“…Weighted quantile sum (WQS) regression, Quantile g-computation (Qgcomp) analysis and Bayesian kernel machine regression (BKMR) assessed metabolite mixtures in relation to gallstones. …”
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A universal panel of STR loci for the study of polymorphism of the species <i>Canis lupus</i> and forensic identification of dog and wolf by A. E. Hrebianchuk, I. S. Tsybovsky

“…The test system was validated in accordance with the protocol of the Scientific Working Group on DNA Analysis Methods. A computational tool was developed to automate the analysis of genetic data on the wolf and dog in the forensic examination; two guides were approved for practicing forensic experts. …”
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Massive Pulmonary Embolism Complicating Coronavirus Disease 2019 (COVID-19) Pneumonia: A Case Report by Shruti Hegde, Gemini Yesodharan, John Tedrow, Alena Goldman

“…A decision was made to forgo computed tomography pulmonary angiography (CTPA), given his clinical instability, and systemic thrombolytic therapy was administered. …”
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Design and fabrication of a device for cleaning greenhouse roofs by Ahmed Amin, Xiaochan Wang, Zhao Lianyuan, Yinyan Shi, Ren Xiaoyan, Mahmoud Okasha, Reda Hassanien Emam Hassanien

“…The cleaning part of the 3D model was investigated using Computational Fluid Dynamics (CFD) software. The simulation outcomes informed that the system could supply a uniform nozzle speed. …”
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Effectiveness of a novel artificial intelligence-assisted colonoscopy system for adenoma detection: a prospective, propensity score-matched, non-randomized controlled study in Kore... by Jung-Bin Park, Jung Ho Bae

“…Background/Aims The real-world effectiveness of computer-aided detection (CADe) systems during colonoscopies remains uncertain. …”
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Trench MOS Schottky Diodes: A Physics-Based Analytical Model Approach to Charge Sharing by Mohammed Tanvir Quddus, Alvaro D. Latorre-Rey, Zeinab Ramezani, Mihir Mudholkar

“…While the use of trenches to push electric fields away from the mesa surface is a widely employed concept for vertical power devices, a significant gap exists in the analytical modeling of this effect, with most prior studies relying heavily on computationally intensive numerical simulations. This paper introduces a new physics-based analytical model to elucidate the behavior of electric field and potential in the mesa region of a TMBS rectifier in reverse bias. …”
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Improving multi-talker binaural DOA estimation by combining periodicity and spatial features in convolutional neural networks by Reza Varzandeh, Simon Doclo, Volker Hohmann

“…Additionally, the PD feature reduction stage in the proposed system improves DOA estimation accuracy while significantly reducing computational complexity compared to a baseline system without this stage, demonstrating its effectiveness for multi-talker DOA estimation.…”
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Monoclonal Gammopathy of Undetermined Significance with Amyloid Deposition in the Lung and Non-Amyloid Eosinophilic Deposition in the Brain: A Case Report by Francois Abi-Fadel, Nisarg R. Desai, Gita Vatandoust, Rabih Said, Aaron Gottesman, Terenig Terjanian

“…The MGUS was diagnosed 9 months ago on serum protein electrophoresis (SPEP) as patient was referred to the outpatient clinic for hyperglobulinemia on routine blood work. In ER, a head-computed tomography (CT) revealed multiple parenchymal hemorrhagic lesions suspicious for metastases. …”
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Person Detection for an Orthogonally Placed Monocular Camera by Pavel Skrabanek, Petr Dolezel, Zdenek Nemec, Dominik Stursa

“…The first approach is the utilization of an appropriate convolutional neural network (ConvNet), which is currently the prevailing approach in computer vision. The second approach is the utilization of histograms of oriented gradients (HOG) features in combination with a support vector machine classifier. …”
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Deep-Learning-Based Land Cover Mapping in Franciacorta Wine Growing Area by Girma Tariku, Isabella Ghiglieno, Andres Sanchez Morchio, Luca Facciano, Celine Birolleau, Anna Simonetto, Ivan Serina, Gianni Gilioli

“…Additionally, addressing challenges such as data availability, computational resources, and model interpretability is essential for advancing the field of remote sensing, in support of biodiversity conservation and the provision of ecosystem services and sustainable agriculture.…”
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An Artificial Intelligent Virtual Reality Interactive Model for Distance Education by Wenjing Yin

“…In the present work, based on the most modern technologies of computational intelligence, virtual and augmented reality, wireless communications, and space-sensitive positioning applications, an Artificial Intelligent Virtual Reality (AI-VR) interactive model for distance education is presented. …”
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Characteristics of Posterior Ethmoidal Artery and Its Relationship with Anterior Ethmoidal Artery and Skull Base on CT Scan by Thuy Chung TRAN PHAN, Kiet Vuong DANG

“…Objective: Investigation of the anterior and posterior ethmoidal arteries on computed tomography (CT) scans of the sinuses before and during surgery is important, especially for inexperienced surgeons. …”
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Investigation of voluntary feed intake and behavior of lambs fed different roughages by camera monitoring by Esad Sami Polat, Behiç Coşkun, Emel Gürbüz, Tahir Balevi, İbrahim Çivlik

“…In this method, a camera monitoring system supported by computer was assembled, in indoors recording for 24 hours a day from the top ol animals. …”
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Gapped phases with non-invertible symmetries: (1+1)d by Lakshya Bhardwaj, Lea E. Bottini, Daniel Pajer, Sakura Schafer-Nameki

“…This set-up provides computational power to determine the number of vacua, the symmetry breaking pattern, and the action of the symmetry on the vacua. …”
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Optimizing fully-efficient two-stage models for genomic selection using open-source software by Javier Fernández-González, Julio Isidro y Sánchez

“…Single-stage models predict GEBVs from phenotypic observations in one step, fully accounting for the entire variance-covariance structure among genotypes, but face computational challenges. Two-stage models, preferred for their simplicity and efficiency, first calculate adjusted genotypic means accounting for spatial variation within each environment, then use these means to predict GEBVs. …”
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