Clinical patterns of speech-language disorders in thalamic aphasias by Kuljić-Obradović Dragana, Ocić Gordana G.

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Competing Images. The Posthumous Reception of Jean Genet by Karl Ågerup

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Method of topographic visualization of root canals using computer simulation

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Discontinuous Structural Transitions in Fluids with Competing Interactions by Ana M. Montero, Santos B. Yuste, Andrés Santos, Mariano López de Haro

“…We conclude that fluids with competing interactions exhibit a rich and intricate pattern of structural transitions, demonstrating the significant influence of dimensionality and interaction features.…”
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Comparative Safety Profiles and Usage Patterns of Iodinated Contrast Media in Medical Imaging by Yu Ri Shin, Seo Yeon Youn, Hokun Kim, Ho Jong Chun, Hwa Young Lee, Hyo Joon Kim, Soon Nam Oh

“…Objectives: This study aimed to analyze the usage patterns and hypersensitivity reaction (HSR) profiles of six nonionic iodinated contrast media (ICMs) used in computed tomography (CT) to enhance patient safety and inform evidence-based contrast agent selection. …”
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EEG-Driven Arm Movement Decoding: Combining Connectivity and Amplitude Features for Enhanced Brain–Computer Interface Performance by Hamidreza Darvishi, Ahmadreza Mohammadi, Mohammad Hossein Maghami, Meysam Sadeghi, Mohamad Sawan

Subjects: “…brain–computer interface…”
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Algorithm-informed treatment from EEG patterns improves outcomes for patients with major depressive disorder by Ramon Solhkhah, Justin Feintuch, Mabel Vasquez, Eamon S. Thomasson, Vijay Halari, Kathleen Palmer, Morgan R. Peltier

“…Objective: Selecting the right medication for major depressive disorder (MDD) is challenging, and patients are often on several medications before an effective one is found. Using patient EEG patterns with computer models to select medications is a potential solution, however, it is not widely performed. …”
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A computational review of various inter-facial forces in fully developed multiphase fluid under different flow patterns in vertical column by Faisal Shah, Desheng Zhang, Linlin Geng

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Effects of computer-generated patterns with different temporal and spatial frequencies on choroidal thickness, retinal dopamine and candidate genes in chickens wearing lenses by Hong Liu, Hong Liu, Frank Schaeffel, Marita Pauline Feldkaemper

“…There was little difference between ON and OFF stimulation, perhaps because the checkerboard patterns were too coarse. 10 Hz cycle frequency increased dopamine release. …”
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Prediction of stroke in patients with severe aortic stenosis by left atrial appendage filling defect patterns on early and late-phase computed tomography by Pietro G. Lacaita, Sven Bleckwenn, Fabian Barbieri, Yannick Scharll, Johannes Deeg, Nikolaos Bonaros, Gerlig Widmann, Gudrun M. Feuchtner

“…The objective was to assess whether left atrial appendage (LAA) filling-defect (FD) patterns from early and late-phase computed tomography (CT), predict stroke/TIA in patients with severe aortic stenosis. …”
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Correlation between facial growth patterns and cortical bone thickness assessed with cone-beam computed tomography in young adult untreated patients by Francesca Gaffuri, Gianguido Cossellu, Cinzia Maspero, Valentina Lanteri, Alessandro Ugolini, Giulio Rasperini, Iury O. Castro, Marco Farronato

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Predicting the effect of seine rope layout pattern and haul-in procedure on the effectiveness of demersal seine fishing: A Computer simulation-based approach. by Nina A H Madsen, Karl G Aarsæther, Bent Herrmann

“…Among the four different layout patterns investigated, the square layout pattern was predicted to perform best; catching 69%-86% more fish than would be obtained with the rectangular layout pattern. …”
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Distribution pattern of different volumes of ropivacaine in ultrasound-guided intertransverse process block: a randomized, blinded, computed tomography imaging study by Chao-wei Wang, Ping Zou, Zu-xiong Zhang, Mao-yan Si, Qin-guo Yi, Li-fang Zhan

“…The aim of this study was to evaluate the distribution patterns of three different volumes of local anesthetic (LA) in ITP block in living humans using computed tomography. …”
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Radiographic patterns of periosteal bone reactions associated with endodontic lesions by Poorya Jalali, Jessica Riccobono, Robert A. Augsburger, Mehrnaz Tahmasbi-Arashlow

“…This study assessed the cone beam computed tomography (CBCT) patterns of periosteal bone reactions associated with periapical inflammatory lesion (apical periodontitis/periapical rarefying osteitis).Materials and MethodsTwenty-two small field of view CBCT images of patients with PBR were selected from a database of a private practice limited to endodontics. …”
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Design Strategies to Minimize Mobile Usability Issues in Navigation Design Patterns by Muhammad Umar, Ibrar Hussain, Toqeer Mahmood, Hamid Turab Mirza, C. M. Nadeem Faisal

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Comprehensive dataset of Portuguese folk instruments for computer vision and heritage researchMendeley Data by Luis Augusto Silva Zendron, Héctor Sánchez San Blas, André Filipe Sales Mendes, Diego M. Jiménez-Bravo, Álvaro Lozano Murciego

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Research on variable-length control chart pattern recognition based on sliding window method and SECNN-BiLSTM by Tao Zan, Xiaolong Jia, Xiaoyu Guo, Min Wang, Xiangsheng Gao, Peng Gao

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Focus on reflective competence: A triangulation to examine youth soccer coaches' reflective competence by Max Danner, Mareike Ahns, Günter Amesberger

“…By fostering such reflective competence, coaches can contribute to a more nuanced and effective coaching methodology, ultimately benefiting the holistic development of youth players. …”
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Enhance decoding of lower limb motor imagery‐electroencephalography patterns by Riemannian clustering by Xinwei Sun, Tuo Liu, Kun Wang, Lincong Pan, Lin Meng, Xinmin Ding, Weibo Yi, Minpeng Xu, Dong Ming

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Cross-attention swin-transformer for detailed segmentation of ancient architectural color patterns by Lv Yongyin, Yu Caixia

“…These methods struggle with balancing precision and computational efficiency, especially when dealing with complex patterns and high-resolution images.MethodsTo address these limitations, we propose a novel segmentation model that integrates a hierarchical vision transformer backbone with multi-scale self-attention, cascaded attention decoding, and diffusion-based robustness enhancement. …”
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