Predicting Excavation-Induced Tunnel Response by Process-Based Modelling by Linlong Mu, Jianhong Lin, Zhenhao Shi, Xingyu Kang

“…The ANN module is trained to learn and recognize the patterns of the complex interactions between excavation deformations, its geometries and support structures, and soil properties. …”
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SUBSTANTIATION FOR PRINCIPLES OF AESTHETIC STOMATOLOGY by I.K. Lutskaya

“…One of the methods employed suggests the use of herringbone pattern, another one is the lateral layering. …”
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In-Process Monitoring of Inhomogeneous Material Characteristics Based on Machine Learning for Future Application in Additive Manufacturing by André Jaquemod, Marijana Palalić, Kamil Güzel, Hans-Christian Möhring

“…The algorithms are trained to recognize patterns, anomalies, or deviations from expected behavior, which can aid in evaluating the effect of detected defects on the machining process and the resultant component quality. …”
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Analysis of global stock market development-Integration of clustering, classification, and shapley values. by Marcin Stawarz

“…The study's findings show that integrating clustering, classification, and Shapley Values is a robust approach for uncovering complex structures within financial markets. This approach provides deeper insights for market participants and policymakers into the growth patterns and strategic positioning of stock exchanges, offering valuable implications for future market development and competition strategies.…”
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Gender Communication and Leadership: A Qualitative Research in Managerial Level by Gonca Yıldırım, Müge Öztunç

“…The study employed qualitative analysis based on semi-structured questions to interpret how femaleand male executives evaluate each other. …”
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Preparation and characterization of marker graphite tiles for PWI research of HL-3 by Jingyang Han, Yaxiong He, Dongye Zhao, Laizhong Cai, Yiqin Wang, Wei Qian, Wenyu Huang, Yong Lu, Lijun Cai, Wulyu Zhong

“…In tokamaks, to understand the erosion and deposition pattern of plasma facing components (PFCs) is crucial for the study of plasma wall interaction (PWI). …”
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Space-Shaping Through Rhythmic Interventions for Teaching and Learning: Pedagogical Perspectives by Robin A. Chang, Pinar Sefkatli

“…Through the courses we investigate how different understandings and analyses of rhythms-through-space in comparison to rhythms-in-space generate different patterns of interventions. We also share prospects for preparing and structuring future teaching and learning that integrate time-sensitivity through constructively aligned activities supporting the development of different forms of knowledge. …”
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Clinicomicrobiological Profile, Antibiotic Resistance Trends and Radiological Association in Paediatric Urinary Tract Infections: A Prospective Observational Study by Krunal Dipakbhai Rana, Pankaj Abrol, Parveen Kumar Antil, Vaishali Pratik Jariwala

“…These findings underscore the importance of tailored empirical therapy based on local resistance patterns and support the routine use of imaging in evaluating paediatric UTIs.…”
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Manipulating self and other schemas to explore psychological processes associated with paranoid beliefs: an online experimental study by Anton P. Martinez, Elizabeth Milne, Georgina Rowse, Richard P. Bentall

“…These structures are referred to as relational schemas and are thought to be influenced by early interpersonal experiences with significant others leading to secure or insecure attachment patterns as adults. …”
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Hospitalisations in Brazil: an ecological time series analysis of the impact of medical decision support data as an exogenous variable by Dayanna Quintanilha, Eduardo Moura, Danielly Xavier

“…This study aimed to evaluate whether structured medical search data from the Afya Whitebook®, a clinical decision-support platform, can serve as exogenous variables to enhance the explanatory capacity of time series models characterising hospitalisation patterns within Brazil’s public health system. …”
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Thoracic dysfunction in whiplash associated disorders: A systematic review. by Nicola R Heneghan, Richard Smith, Isaak Tyros, Deborah Falla, Alison Rushton

“…Notwithstanding the low/very low level of evidence from this review, our findings do support a more extensive clinical evaluation of patients presenting with WAD. Additional high quality research is required to further characterise dysfunction across other structures in the thoracic region, including but not limited to the thoracic spine (mobility and posture) and thoracic muscles (stiffness, activation patterns). …”
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Identification of Isoflavonoid Biosynthesis-Related R2R3-MYB Transcription Factors in Callerya speciosa (Champ. ex Benth.) Schot Using Transcriptome-Based Gene Coexpression Analysi... by Linchan Yu, Ding Huang, Jinyuan Gu, Dongjin Pan, Yong Tan, Rongshao Huang, Shaochang Yao

“…In silico evaluation showed that the deduced R2R3-CsMYB proteins contain highly conserved R2R3 repeat domain at the N-terminal region, that is the signature motif of R2R3-type MYB TFs. …”
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Hybrid Dynamic Network Data Envelopment Analysis by Ling Li, Fengshan Wang

“…We vertically deal with intermediate products between divisions with assignable inputs in the network structure and, horizontally, we extend network structure by means of a dynamic pattern with unrelated activities between two succeeding periods. …”
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Application of Fractal Analysis in Detecting Trabecular Bone Characteristics Around Mandibular Impacted Third Molars on Dental Panoramic Radiographs by Elif Polat Balkan, Hatice Ahsen Deniz, Mehmet Hakan Kurt, Erçin Samunahmetoğlu, Sevilay Karahan

“…It is very important to know the pattern of trabecular structure before surgical procedure on M3M. …”
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Application of cross-polarization imaging in distinguishing between squamous and columnar epithelium of the cervix by Cat Phan Ngoc Khuong, Hieu Nguyen Trung, Duc Le Huynh, Quynh Nguyen Ngoc, Hai Pham Thanh, Long Nguyen, Hanh Tran Thi Thu, Tu Ly Anh, Tien Tran Van

“…The careful observation and evaluation of the squamocolumnar junction (SCJ) are essential requirements in colposcopy procedures. …”
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Integrated deep network model with multi-head twofold attention for drug–target interaction prediction by Angelin Jeba P, Tamilpavai G

“…This model leverages convolutional and recurrent neural networks to extract both local and sequential features from drug molecular structures and target protein sequences. The MHTA mechanism enhances the model’s ability to focus on different aspects of drug and target features independently, effectively capturing intricate interaction patterns. …”
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Health Promotion Behaviors among Elderly in Nursing Home at Baghdad City by Mohammed F. Khalifa, Rida M. Lefta

“… Objective: The aim of this study is to evaluate the elderly health promotion behavior through use five domains of physical activities, nutrition patterns, drugs use, psychological well being, seeking of health care. …”
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A Survey of Canadian Gastroenterologists about the Management of Barrett’s Esophagus by Lisa MacNeil-Covin, Alan G Casson, Dickran Malatjalian, Sander Veldhuyzen van Zanten

“…The aims of the present study were to determine practice patterns of Canadian gastroenterologists for screening patients with Barrett’s esophagus and to compare current practice patterns with published guidelines. …”
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Design and Performance Optimization of a 3D-Printed SIW Antenna for Free-Space Applications by Md Mahabub Alam, Nurhafizah Abu Talip Yusof, Nurazyyati Inas, Muhammad Naim Aminuddin, Bifta Sama Bari, Yasmin Abdul Wahab, Mohamad Shaiful Abdul Karim

“…The fabricated prototype demonstrates resonant frequencies at 5.02 GHz and 6.0 GHz, with a scattering parameter below -10 dB and a well-defined radiation pattern, exhibiting sidelobes at -2.7 dB. The antenna is fabricated using biodegradable Polylactic Acid (PLA) material, reinforcing the potential for sustainable electronics while maintaining structural integrity and electromagnetic compatibility. …”
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Deterministic Light Detection and Ranging (LiDAR)-Based Obstacle Detection in Railways Using Data Fusion by Susana Dias, Pedro J. S. C. P. Sousa, João Nunes, Francisco Afonso, Nuno Viriato, Paulo J. Tavares, Pedro M. G. P. Moreira

“…Using a data fusion approach, pre-existing knowledge about the track topography is incorporated into the LiDAR data processing pipeline in conjunction with the DBSCAN clustering algorithm to identify and classify potential obstacles based on point cloud density patterns. This step effectively segregates potential obstacles from background noise and track structures. …”
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