The Analgesic Efficacy of Transverse Abdominis Plane Block versus Epidural Block after Caesarean Delivery: Which One Is Effective? TAP Block? Epidural Block? by Ebru Canakci, Ahmet Gultekin, Zubeyir Cebeci, Bulent Hanedan, Anil Kilinc

“…Materials and Methods. Eighty patients in the ASA I-II risk group, undergone an elective C-section, were randomly assigned to the study. …”
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A Study of the Audience's Exposure to the Filmic Space with an Emphasis on the Interdisciplinary Phenomenological Views by payam Zinalabedini

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Designing Interactive Applications to Support Novel Activities by Hyowon Lee, Nazlena Mohamad Ali, Lynda Hardman

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Reconnecting River-City: A Visibility and Accessibility Assessment of the Ping River’s View Characters in Chiang Mai City by Janjira Sukwai, Nattasit Srinurak

“…The methodology utilized for GIS included visibility and accessibility assessments as variables for analyzing interconnections and classification utilizing the statistical method of hierarchical clustering analysis (HCA). …”
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Drivers’ Eye Movement Characteristics in a Combined Bridge-Tunnel Scenario on a Mountainous Urban Expressway: A Realistic Study by Jingrong Bai, Qinghai Lin, Huiyun Bi, Boming Tang

“…This paper attempts to clarify these characteristics using descriptive statistics and the box graph method, registering the pupil diameter, blink duration, fixation, saccades, and fixation loci at different tunnel locations, bridges, and ramps. …”
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Tracing the evolution of green logistics: A latent dirichlet allocation based topic modeling technology and roadmapping. by Ruijundi Ma, Yong Jin Kim

“…Finally, this paper visualizes the development roadmap of green logistics and explores the progression among three stages. …”
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Image denoising algorithm based on multi-channel GAN by Hongyan WANG, Xiao YANG, Yanchao JIANG, Zumin WANG

“…Aiming at the issue that the noise generated during image acquisition and transmission would degrade the ability of subsequent image processing, a generative adversarial network (GAN) based multi-channel image denoising algorithm was developed.The noisy color image could be separated into red-green-blue (RGB) three channels via the proposed approach, and then the denoising could be implemented in each channel on the basis of an end-to-end trainable GAN with the same architecture.The generator module of GAN was constructed based on the U-net derivative network and residual blocks such that the high-level feature information could be extracted effectively via referring to the low-level feature information to avoid the loss of the detail information.In the meantime, the discriminator module could be demonstrated on the basis of fully convolutional neural network such that the pixel-level classification could be achieved to improve the discrimination accuracy.Besides, in order to improve the denoising ability and retain the image detail as much as possible, the composite loss function could be depicted by the illustrated denoising network based on the following three loss measures, adversarial loss, visual perception loss, and mean square error (MSE).Finally, the resultant three-channel output information could be fused by exploiting the arithmetic mean method to obtain the final denoised image.Compared with the state-of-the-art algorithms, experimental results show that the proposed algorithm can remove the image noise effectively and restore the original image details considerably.…”
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Lean Approach of Pharmaceutical Installations At Hospital ABC Purbalingga to Increase Pharmacy Service Efficiency by Rani Aulia Imran

“…By using 5-why’s root cause analysis, problems identified and improvement of visual management were recommended.…”
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Assessing built environment walkability using activity-space summary measures by Calvin P Tribby, Harvey J Miller, Barbara B Brown, Carol M Werner, Ken R Smith

“…We visualize these activity-space summary measures to compare walkability among individuals’ trips within their neighborhoods. …”
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Spectral Normalization for Generative Adversarial Networks for Artistic Image Transformation by Zhixu Shu, Kewang Zhang

“…These results confirm that the proposed method achieves more realistic and efficient artistic image transformations compared to traditional methods and other deep learning algorithms.…”
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Digital Workflow for Immediate Implant Placement and Chairside Provisionalization in the Esthetic Zone by Vincent J. J. Donker, Gerry M. Raghoebar, Arjan Vissink, Henny J. A. Meijer

“…This could be a predictable method to deliver a screw-retained temporary restoration, directly after static computer-assisted immediate implant surgery. …”
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Learning Through "ARBOR Exhibition" by Eneng Nunuz Rohmatullayaly, Budi Irawan, Madihah Madihah

“…This study used the Research and Development (R&D) method. “ARBOR: The Art and Beauty of Universitas Padjadjaran’s Pollinator” is a photography talk show and exhibition providing information about pollinators, food plants, and host plants in the arboretum and surrounding campus. …”
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Optimizing UI/UX of AIMsCORE Application with Design Thinking to Enhance User Interaction and Engagement by Jannatunnisa, Abdul Rahim, Sayekti Harits Suryawan

“…Data were validated through triangulation comparing information from multiple sources and perspectives to ensure objectivity and minimize bias. This method strengthens data credibility and informs problem-based solution design. …”
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Stockholm Archipelago on Instagram—Landscape Imaginaries of Two Hashtags by Christian Widholm

“…The analytical approach stems from the concept of landscape imaginaries, how collective understandings and representations of landscape render space. The method combines thematic analysis, netnography, and semiotic analysis. …”
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Exploring the Sundanese culture in the Makuta Binokasih as a cultural asset of the Sumedang Larang Kingdom by Fajar Ciptandi, Jeng Oetari, Morinta Rosandini

“…The result is a comprehensive description of the relationship between Sundanese culture and the visual existence of Makuta Binokasih, which may be useful as a starting point for cultural preservation efforts. …”
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From the Cloud to the Ground. A Data-Driven Research to Build Informative Heritage about Data Centres’ Energy Footprint by Fabiola Papini, Francesca Valsecchi, Michele Mauri

“…The article aims to bridge this gap using data visualisation as a research method and design output. It summarises data-driven research with a twofold output: mapping the known and unknown aspects of the Internet’s energy footprint to support transparency and future reflections and identifying visual strategies in the design field for communicating complex information. …”
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Wavelet-Based Topological Loss for Low-Light Image Denoising by Alexandra Malyugina, Nantheera Anantrasirichai, David Bull

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Modeling Spatial Data with Heteroscedasticity Using PLVCSAR Model: A Bayesian Quantile Regression Approach by Rongshang Chen, Zhiyong Chen

“…Spatial data not only enables smart cities to visualize, analyze, and interpret data related to location and space, but also helps departments make more informed decisions. …”
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Detection of Salmonella enterica subsp. enterica via Quenching of Unincorporated Amplification Signal Reporters in Loop-Mediated Isothermal Amplification by Ma. Hanna S. C. Halcon, Joy Ann P. Santos, Nacita B. Lantican

“…In this study, a rapid and cheap method of detecting S. enterica DNA was developed by employing the Quenching of Unincorporated Amplification Signal Reporters in Loop-Mediated Isothermal Amplification (QUASR LAMP) platform. …”
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A real-time virtual liver simulator using position based dynamics with compliant constraints for medical applications by Yufan Guo, Dongliang Kou, Xukun Zhang, Lihua Zhang, Kai Cao

“…Experimental evaluations reveal that our method not only meets the stringent real-time requirements of surgical procedures but also significantly enhances the visual realism and stability of simulations. …”
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