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Journal articles on the topic 'Kappa refinement'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Loschiavo, John, Brett Cirulis, Yingxin Zuo, Bronwyn A. Hradsky, and Julian Di Stefano. "Mapping prescribed fire severity in south-east Australian eucalypt forests using modelling and satellite imagery: a case study." International Journal of Wildland Fire 26, no. 6 (2017): 491. http://dx.doi.org/10.1071/wf16167.

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Accurate fire severity maps are fundamental to the management of flammable landscapes. Severity mapping methods have been developed and tested for wildfire, but need further refinement for prescribed fire. We evaluated the accuracy of two severity mapping methods for a low-intensity, patchy prescribed fire in a south-eastern Australian eucalypt forest: (1) the Normalised Difference Vegetation Index (NDVI) derived from RapidEye satellite imagery, and (2) PHOENIX RapidFire, a fire-spread simulation model. We used each method to generate a fire severity map (four-category: unburnt, low, moderate

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Palatinus, L., A. Suresh, E. Yörük, et al. "Net atomic charges by dynamical kappa refinement against 3D-ED data." Acta Crystallographica Section A Foundations and Advances 79, a2 (2023): C413. http://dx.doi.org/10.1107/s2053273323092021.

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Suresh, Ashwin, E. Yörük, Petr Brázda, M. Cabaj, H. Chintakindi, and L. Palatinus. "Atomic ionisation determined by dynamical kappa refinement against 3D electron diffraction data." Acta Crystallographica Section A Foundations and Advances 80, a1 (2024): e322-e322. https://doi.org/10.1107/s2053273324096773.

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Bakli, Mahfoud, Noureddine Bouras, Raul Paşcalău, and Laura Șmuleac. "Bioinformatic Characterization of a Kappa-Carrageenase from Pseudomonas fluorescens." Advanced Research in Life Sciences 6, no. 1 (2022): 33–39. http://dx.doi.org/10.2478/arls-2022-0036.

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Abstract Kappa-carrageenase (EC 3.2.1.83) is a glycoside hydrolase family 16 (GH16) member that could specifically hydrolyse kappa-carrageenans to kappa-carrageenan oligosaccharides. Kappa-carrageenase enzymes have attracted much interest due to their numerous potential applications in biomedical and physiological fields, bioethanol production, and textile industry. In the present study, physicochemical, secondary structure, structural properties including homology modeling, refinement, and model quality validation, and functional analyses of the kappacarrageenanse from Pseudomonas fluorescens

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Ghermani, N., C. Lecomte, and N. Bouhmaida. "Electrostatic Potential from High-Resolution X-Ray Diffraction. Application to a Pseudo-Peptide Molecule." Zeitschrift für Naturforschung A 48, no. 1-2 (1993): 91–98. http://dx.doi.org/10.1515/zna-1993-1-222.

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Abstract The calculation of the electrostatic potential of a molecule removed from the crystal lattice is derived from the parameters obtained by a kappa refinement and by a Hansen-Coppens electron density model. These calculations in direct space are applied to N-acetyl-α,β-dehydrophenylalanine; deformation potentials calculated by Fourier transformation are compared to those obtained in direct space.

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Jelsch, Christian, Benoit Guillot, Angelique Lagoutte, and Claude Lecomte. "Advances in protein and small-molecule charge-density refinement methods usingMoPro." Journal of Applied Crystallography 38, no. 1 (2005): 38–54. http://dx.doi.org/10.1107/s0021889804025518.

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With an increasing number of biological macromolecule structures solved at ultra-high resolution and with the advances of supramolecular chemistry, it becomes necessary to extend to large systems experimental charge-density study methods that are usually applied to small molecules. The latest developments in the refinement programMoPro(Molecular Properties), dedicated to the charge-density refinement at (sub)atomic resolution of structures ranging from small molecules to biological macromolecules, are presented.MoProuses the Hansen & Coppens [Acta Cryst.(1978), A34, 909–921] multipolar pse

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Mikita, Tomáš, Lenka Janošíková, Jan Caha, and Elizaveta Avoiani. "The Potential of UAV Data as Refinement of Outdated Inputs for Visibility Analyses." Remote Sensing 15, no. 4 (2023): 1028. http://dx.doi.org/10.3390/rs15041028.

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Visibility analyses in geographical information systems (GIS) are used to quantify the visible and non-visible parts of the landscape. This study aims to evaluate the changes in viewshed outputs after the unmanned aerial vehicle (UAV) data refinement for the near surroundings of the observer. This research accounts for the influence of data age, mainly due to vegetation growth, and the impact of the input data quality on the final study output. The raw data that were used for UAV refinement were publicly available data (one dataset at the global level, two datasets at the national level of the

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Kumar, Divya, Dhanadivya Krishnakumar, Vamsi Lavu, Akila Ganesh, Deepak Moses Ravindran, and S. K. Balaji. "Development and Validation of a Questionnaire for a Knowledge, Attitude, and Practice Survey on COVID-19 among the General Public." Journal of Indian Association of Public Health Dentistry 23, no. 1 (2025): 22–25. https://doi.org/10.4103/jiaphd.jiaphd_74_24.

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Abstract Background: It is essential to understand an individual’s knowledge, attitude, and practice (KAP) toward COVID-19 as public adherence to health guidelines relies heavily on these aspects and helps curb its spread. The objective of this study was to develop and validate a questionnaire using a scientific step-wise process to assess the KAPs on COVID-19 among the general public from South India. Materials and Methods: A step-wise questionnaire development process comprising conceptual framework, development of an item pool, refinement of the item pool, focused group discussion, translat

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Bogdanovic, Goran, Nada Bosnjakovic-Pavlovic, Bire Spasojevic-De, Eddine Ghermanic, and Ubavka Mioc. "Low temperature crystal structure, experimental atomic charges and electrostatic potential of ammonium decavanadate hexahydrate (NH4)V10O28·6H2O." Journal of the Serbian Chemical Society 72, no. 6 (2007): 545–54. http://dx.doi.org/10.2298/jsc0706545b.

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The X-ray structure of ammonium decavanadate hexahydrate was redetermined at a low temperature (100 K) in order to locate the hydrogen sites and to study the hydrogen bonds. The hydrogen atoms were assigned to the appropriate atomic group, NH4 + cations, and water molecules, missing to the best of our knowledge in the literature. A kappa refinement was performed to estimate the experimental atomic charges. These charges were used to generale the electrostatic potential on the molecular surfaces of decavanadate polyanions isolated from the influence of the crystal lattice. Comparisons with prev

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Frankowski, Kevin J., Michael P. Hedrick, Palak Gosalia, et al. "Discovery of Small Molecule Kappa Opioid Receptor Agonist and Antagonist Chemotypes through a HTS and Hit Refinement Strategy." ACS Chemical Neuroscience 3, no. 3 (2012): 221–36. http://dx.doi.org/10.1021/cn200128x.

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Benkhayat, Aouatif. "Assessing Strategic Business and IT Alignment: Validation of a Novel Model across Moroccan Enterprises." WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS 21 (April 12, 2024): 934–43. http://dx.doi.org/10.37394/23207.2024.21.78.

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Strategic alignment between Business and IT remains a critical factor for organizational effectiveness, but measuring it often presents a complex challenge. This paper evaluates the model we proposed in previous work to measure the degree of alignment between Business strategy and IT initiatives. We applied the model to a selection of Moroccan companies. We compared the alignment scores obtained with those from the established Strategic Alignment Maturity Model (SAMM) using Cohen’s Kappa and simple linear regression for comparative analysis. This study demonstrates our model’s effectiveness in

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Jawanpuria, Ankita, Aruna Rani Behera, Chinmaya Dash, and Mohammad Hifz Ur Rahman. "ChatGPT in hospital infection prevention and control – assessing knowledge of an AI model based on a validated questionnaire." European Journal of Clinical and Experimental Medicine 22, no. 2 (2024): 347–52. http://dx.doi.org/10.15584/ejcem.2024.2.19.

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Introduction and aim. An AI model like ChatGPT is a good source of knowledge. We can explore the potential of AI models to complement the expertise of healthcare professionals by providing real-time, evidence-based information in infection prevention and control (IPC). Material and methods. This study involved 110 queries related to IPC, validated by subject experts in IPC. The responses from ChatGPT were evaluated using Bloom’s taxonomy by experienced microbiologists. The scores were divided as 4 as a good response. Statistical analysis was done by correlation coefficient and Cohen’s Kappa. R

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Rina, Su, Hong Ying, Yu Shan, et al. "Application of Machine Learning to Tree Species Classification Using Active and Passive Remote Sensing: A Case Study of the Duraer Forestry Zone." Remote Sensing 15, no. 10 (2023): 2596. http://dx.doi.org/10.3390/rs15102596.

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The technology of remote sensing-assisted tree species classification is increasingly developing, but the rapid refinement of tree species classification on a large scale is still challenging. As one of the treasures of ecological resources in China, Arxan has 80% forest cover, and tree species classification surveys guarantee ecological environment management and sustainable development. In this study, we identified tree species in three samples within the Arxan Duraer Forestry Zone based on the spectral, textural, and topographic features of unmanned aerial vehicle (UAV) multispectral remote

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Zhu, Wanling, and Yuan Jia. "High-resolution remote sensing image land cover classification based on EAR-HRNetV2." Journal of Physics: Conference Series 2593, no. 1 (2023): 012002. http://dx.doi.org/10.1088/1742-6596/2593/1/012002.

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Abstract The application of land cover classification is very extensive, it can be used in land resources management, urban planning, agricultural and other fields. The multi-scale variation of targets in high-resolution remote sensing images leads to low accuracy in land cover classification tasks. In response to this problem, an improved semantic segmentation model named EAR-HRNetV2 is proposed based on HRNetV2. Firstly, the attention mechanism is added to the Bottleneck residual and Basic residual modules to obtain more efficient features. Then, the atrous spatial pyramid pooling is added t

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Bakkar, Rania, James Mirocha, Xuemo Fan, et al. "Impact of the Paris system for reporting urine cytopathology on predictive values of the equivocal diagnostic categories and interobserver agreement." CytoJournal 16 (October 22, 2019): 21. http://dx.doi.org/10.4103/cytojournal.cytojournal_30_19.

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Background: The Paris System (TPS) acknowledges the need for more standardized terminology for reporting urine cytopathology results and minimizing the use of equivocal terms. We apply TPS diagnostic terminologies to assess interobserver agreement, compare TPS with the traditional method (TM) of reporting urine cytopathology, and evaluate the rate and positive predictive value (PPV) of each TPS diagnostic category. A survey is conducted at the end of the study. Materials and Methods: One hundred urine samples were reviewed independently by six cytopathologists. The diagnosis was rendered accor

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Cabral, Thales W., Fernando B. Neto, Eduardo R. de Lima, Gustavo Fraidenraich, and Luís G. P. Meloni. "Analysis of Variance Combined with Optimized Gradient Boosting Machines for Enhanced Load Recognition in Home Energy Management Systems." Sensors 24, no. 15 (2024): 4965. http://dx.doi.org/10.3390/s24154965.

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Load recognition remains not comprehensively explored in Home Energy Management Systems (HEMSs). There are gaps in current approaches to load recognition, such as enhancing appliance identification and increasing the overall performance of the load-recognition system through more robust models. To address this issue, we propose a novel approach based on the Analysis of Variance (ANOVA) F-test combined with SelectKBest and gradient-boosting machines (GBMs) for load recognition. The proposed approach improves the feature selection and consequently aids inter-class separability. Further, we optim

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Tse, Shannon, An-Sofie Van de Kelft, Samuel K. Simister, et al. "Assessing the Wrightington Classification System for elbow fracture-dislocations." Bone & Joint Journal 107-B, no. 2 (2025): 188–92. https://doi.org/10.1302/0301-620x.107b2.bjj-2024-0294.r1.

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AimsComplex elbow fracture-dislocations often result in suboptimal outcomes and necessitate a thorough understanding of injury patterns to guide effective management and reduce adverse sequelae. The Wrightington Classification System (WCS) offers a comprehensive approach and considers both bony and soft-tissue disruption, providing clearer guidance for treatment. This is the first external study to assess the reliability of the WCS for elbow fracture-dislocations.MethodsA blinded study of patients with elbow fracture-dislocations at a single institution between December 2014 and December 2022

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DeCato, Clifford M., and Donald Meldrum. "Confirmation of Interrater Reliability of the Marley Differential Diagnostic Scoring System for the Bender-Gestalt Test." Perceptual and Motor Skills 68, no. 3 (1989): 915–20. http://dx.doi.org/10.2466/pms.1989.68.3.915.

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The Bender-Gestalt test has been one of the most popular clinical instruments for the past four decades. Much controversy has surrounded the use of this test as a screening instrument for organicity (brain dysfunction). Marley's Differential Diagnostic Scoring System was recently developed to improve the validity of the test for detecting organicity. The original standardization of the system reported very high interrater reliability. To provide an independent assessment of interscorer reliability, three raters were trained in the system and separately rated 40 protocols. Kappa coefficients fo

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DeFelippis, Daniel, Frédéric Bournaud, Nicolas Bouché, et al. "The effect of cosmic rays on the observational properties of the CGM." Monthly Notices of the Royal Astronomical Society 530, no. 1 (2024): 52–65. http://dx.doi.org/10.1093/mnras/stae837.

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ABSTRACT The circumgalactic medium (CGM) contains information on the cumulative effect of galactic outflows over time, generally thought to be caused by feedback from star formation and active galactic nuclei. Observations of such outflows via absorption in CGM gas of quasar sightlines show a significant amount of cold (${\lesssim}10^4\,{\rm K}$) gas, which cosmological simulations struggle to reproduce. Here, we use the adaptive mesh refinement hydrodynamical code Ramses to investigate the effect of cosmic rays (CR) on the cold gas content of the CGM using three zoom realizations of a z = 1 s

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Brodić, Nenad, Željko Cvijetinović, Milutin Milenković, et al. "Refinement of Individual Tree Detection Results Obtained from Airborne Laser Scanning Data for a Mixed Natural Forest." Remote Sensing 14, no. 21 (2022): 5345. http://dx.doi.org/10.3390/rs14215345.

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Numerous semi- and fully-automatic algorithms have been developed for individual tree detection from airborne laser-scanning data, but different rates of falsely detected treetops also accompany their results. In this paper, we proposed an approach that includes a machine learning-based refinement step to reduce the number of falsely detected treetops. The approach involves the local maxima filtering and segmentation of the canopy height model to extract different segment-level features used for the classification of treetop candidates. The study was conducted in a mixed temperate forest, pred

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Hamzawy, Mohamed A., Laila A. Rahsed, and Sayed M. Mizar. "Multiple targets modulation of Bcl-2/CD1, caspase-3 and refinement of AKT/ERK signalling by sorafenib in hepatocellular carcinoma in rats; comprehensive outlook." Egyptian Pharmaceutical Journal 22, no. 3 (2023): 508–15. http://dx.doi.org/10.4103/epj.epj_37_23.

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Background Hepatocellular carcinoma (HCC) is the commonly diagnosed cancer among the three top ranked cancer induced mortality in cancer patients worldwide. A tyrosine kinase inhibitor sorafenib has been used as systemic therapy with a demonstrated survival benefit in HCC. Objectives The present work was conducted to investigate the multiple targets that may be involved in the action of sorafenib in treatment of HCC and development of drug resistance. Materials and methods Four groups of Swiss albino rats were assigned for 12 weeks treatment as the following: group (I) untreated control, group

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Laine, Jennifer C., Susan A. Novotny, Stefan Huhnstock, et al. "Reliability of the modified lateral pillar classification for Legg Calvé Perthes disease performed by a large group of international paediatric orthopaedic surgeons." Journal of Children's Orthopaedics 14, no. 6 (2020): 529–36. http://dx.doi.org/10.1302/1863-2548.14.200055.

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Purpose The modified lateral pillar classification (mLPC) is used for prognostication in the fragmentation stage of Legg Calvé Perthes disease. Previous reliability assessments of mLPC range from fair to good agreement when evaluated by a small number of observers with pre-selected radiographs. The purpose of this study was to determine the inter-observer and intra-observer reliability of mLPC performed by a group of international paediatric orthopaedic surgeons. Surgeons self-selected the radiograph for mLPC assessment, as would be done clinically. Methods In total, 40 Perthes cases with seri

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Chorney, Jill MacLaren, Edwin T. Tan, Sarah R. Martin, Michelle A. Fortier, and Zeev N. Kain. "Children's Behavior in the Postanesthesia Care Unit: The Development of the Child Behavior Coding System-PACU (CBCS-P)." Journal of Pediatric Psychology 37, no. 3 (2011): 338–47. http://dx.doi.org/10.1093/jpepsy/jsr101.

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Abstract Objective To develop and validate a behavioral coding measure, the Children's Behavior Coding System-PACU (CBCS-P), for children's distress and nondistress behaviors while in the postanesthesia recovery unit. Methods A multidisciplinary team examined videotapes of children in the PACU and developed a coding scheme that subsequently underwent a refinement process (CBCS-P). To examine the reliability and validity of the coding system, 121 children and their parents were videotaped during their stay in the PACU. Participants were healthy children undergoing elective, outpatient surgery a

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Nair, Lekshmy S. R., Sageena George, S. Anandaraj, S. Anuja, T. V. Naveena, and U. Aishwarya. "Interexaminer agreement among pediatric dental specialists in assessment of tonsil size, Friedman tongue position, and Friedman staging of obstructive sleep apnea in children: An observational study." Journal of Indian Society of Pedodontics and Preventive Dentistry 42, no. 2 (2024): 91–97. http://dx.doi.org/10.4103/jisppd.jisppd_85_24.

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ABSTRACT Background: The evaluation of tonsil size, Friedman Tongue Position (FTP), and Friedman staging in pediatric obstructive sleep apnea (OSA) holds significant clinical importance, offering manifold advantages in diagnosis and surgical management. Aims and Objectives: This study aimed to assess the reliability of pediatric OSA evaluation by determining inter-examiner agreement among pediatric dental specialists. Materials and Methods: Conducted at the Department of Pediatric Dentistry, PMS College of Dental Science and Research Hospital (2023-2024), this observational study utilized conv

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Gana, Bady, Andrés Leiva-Araos, Héctor Allende-Cid, and José García. "Leveraging LLMs for Efficient Topic Reviews." Applied Sciences 14, no. 17 (2024): 7675. http://dx.doi.org/10.3390/app14177675.

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This paper presents the topic review (TR), a novel semi-automatic framework designed to enhance the efficiency and accuracy of literature reviews. By leveraging the capabilities of large language models (LLMs), TR addresses the inefficiencies and error-proneness of traditional review methods, especially in rapidly evolving fields. The framework significantly improves literature review processes by integrating advanced text mining and machine learning techniques. Through a case study approach, TR offers a step-by-step methodology that begins with query generation and refinement, followed by sem

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Fisher, Elaine, Rebecca Thomas, and Jeb Williams. "73204 HR the Silent Partner: Building Teams & Tools for Better Recruitment and Hiring of Clinical Research Professionals." Journal of Clinical and Translational Science 5, s1 (2021): 42. http://dx.doi.org/10.1017/cts.2021.512.

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ABSTRACT IMPACT: Improved non-biased matching of clinical research professionals to PI needs will accelerate time to active project engagement for new hires. OBJECTIVES/GOALS: An ongoing challenge for HR recruiters when matching applicants to open job positions is the time-consuming screening effort, which relies on imprecise semantic searching. We propose building a precision-based matching tool using Natural Language Processing to automate the accurate and non-biased identification of suitable job candidates. METHODS/STUDY POPULATION: We conducted 30-45’ interviews with HR administration/rec

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Zou, Xiaoliang, Guihua Zhao, Jonathan Li, Yuanxi Yang, and Yong Fang. "OBJECT BASED IMAGE ANALYSIS COMBINING HIGH SPATIAL RESOLUTION IMAGERY AND LASER POINT CLOUDS FOR URBAN LAND COVER." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 10, 2016): 733–39. http://dx.doi.org/10.5194/isprs-archives-xli-b3-733-2016.

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With the rapid developments of the sensor technology, high spatial resolution imagery and airborne Lidar point clouds can be captured nowadays, which make classification, extraction, evaluation and analysis of a broad range of object features available. High resolution imagery, Lidar dataset and parcel map can be widely used for classification as information carriers. Therefore, refinement of objects classification is made possible for the urban land cover. The paper presents an approach to object based image analysis (OBIA) combing high spatial resolution imagery and airborne Lidar point clou

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Miandad, Javed, Margaret M. Darrow, Michael D. Hendricks, and Ronald P. Daanen. "Landslide Mapping Using Multiscale LiDAR Digital Elevation Models." Environmental and Engineering Geoscience 26, no. 4 (2020): 405–25. http://dx.doi.org/10.2113/eeg-2268.

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ABSTRACT This study presents a new methodology to identify landslide and landslide-susceptible locations in Interior Alaska using only geomorphic properties from light detection and ranging (LiDAR) derivatives (i.e., slope, profile curvature, and roughness) and the normalized difference vegetation index (NDVI), focusing on the effect of different resolutions of LiDAR images. We developed a semi-automated object-oriented image classification approach in ArcGIS 10.5 and prepared a landslide inventory from visual observation of hillshade images. The multistage work flow included combining derivat

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Zou, Xiaoliang, Guihua Zhao, Jonathan Li, Yuanxi Yang, and Yong Fang. "OBJECT BASED IMAGE ANALYSIS COMBINING HIGH SPATIAL RESOLUTION IMAGERY AND LASER POINT CLOUDS FOR URBAN LAND COVER." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 10, 2016): 733–39. http://dx.doi.org/10.5194/isprsarchives-xli-b3-733-2016.

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With the rapid developments of the sensor technology, high spatial resolution imagery and airborne Lidar point clouds can be captured nowadays, which make classification, extraction, evaluation and analysis of a broad range of object features available. High resolution imagery, Lidar dataset and parcel map can be widely used for classification as information carriers. Therefore, refinement of objects classification is made possible for the urban land cover. The paper presents an approach to object based image analysis (OBIA) combing high spatial resolution imagery and airborne Lidar point clou

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Villanueva-Perez, O. E., I. Mejía, V. García-García, and A. Bedolla-Jacuinde. "Metallographic, Structural and Mechanical Characterization of a Low Density Fe-Mn-Al-C Steel Microalloyed with Ti/B in As-Cast and Homogenized Conditions." MRS Advances 3, no. 64 (2018): 3971–78. http://dx.doi.org/10.1557/adv.2019.64.

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ABSTRACTLow density (LD) steels have shown particular characteristics in terms of mechanical properties and microstructure, since they have high strength, high ductility and density reduction up to 18%. On the other hand, the addition of microalloying elements such as Ti and B generate hardening by solid solution and precipitation, as well as grain refinement effect. LD steels generate nano-sized kappa phase precipitated from the austenite matrix, and these advanced steels can reach strength and elongation up to 780 MPa and 60%, respectively. The main objective of this research work is the met

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Cadogan, Cathal A., Audrey Rankin, Simon Lewin, and Carmel M. Hughes. "Application of the intervention Complexity Assessment Tool for Systematic Reviews within a Cochrane review: an illustrative case study." HRB Open Research 3 (June 1, 2020): 31. http://dx.doi.org/10.12688/hrbopenres.13044.1.

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Background: The intervention Complexity Assessment Tool for Systematic Reviews (iCAT_SR) has been developed to facilitate detailed assessments of intervention complexity in systematic reviews. Worked examples of the tool’s application are needed to promote its use and refinement. The aim of this case study was to apply the iCAT_SR to a subset of 20 studies included in a Cochrane review of interventions aimed at improving appropriate polypharmacy in older people. Methods: Interventions were assessed independently by two authors using the six core iCAT_SR dimensions: (1) ‘Target organisational l

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Shipley, Hilary, Alonso Guedes, Lynelle Graham, Elizabeth Goudie-DeAngelis, and Erin Wendt-Hornickle. "Preliminary appraisal of the reliability and validity of the Colorado State University Feline Acute Pain Scale." Journal of Feline Medicine and Surgery 21, no. 4 (2018): 335–39. http://dx.doi.org/10.1177/1098612x18777506.

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Objectives The objective of this study was to determine the inter-rater reliability and convergent validity of the Colorado State University Feline Acute Pain Scale (CSU-FAPS) in a preliminary appraisal of its performance in a clinical teaching setting. Methods Sixty-eight female cats were assessed for pain after ovariohysterectomy. A cohort of 21 cats was examined independently by four raters (two board-certified anesthesiologists and two anesthesia residents) with the CSU-FAPS, and intra-class correlation coefficient (ICC) was used to determine inter-rater reliability. Weighted Cohen’s kappa

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Kroenke, Kurt, Kathryn J. Ruddy, Deirdre R. Pachman, et al. "Using Electronic Health Records to Classify Cancer Site and Metastasis." Applied Clinical Informatics 16, no. 03 (2025): 556–68. https://doi.org/10.1055/a-2544-3117.

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AbstractThe Enhanced EHR-facilitated Cancer Symptom Control (E2C2) Trial is a pragmatic trial testing a collaborative care approach for managing common cancer symptoms. There were challenges in identifying cancer site and metastatic status.This study compares three different approaches to determine cancer site and six strategies for identifying the presence of metastasis using EHR and cancer registry data.The E2C2 cohort included 50,559 patients seen in the medical oncology clinics of a large health system. SPPADE symptoms were assessed with 0 to 10 numeric rating scales (NRS). A multistep pro

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Harizahayu, Harizahayu, Friendly Friendly, Bintarto Purwo Seputro, Benar Benar, and Koko Hermanto. "Predictive Modeling of Preeclampsia Risk Using Random Forest Algorithm within a Machine Learning Framework." Journal of Computer Networks, Architecture and High Performance Computing 6, no. 4 (2024): 1843–50. http://dx.doi.org/10.47709/cnahpc.v6i4.4779.

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Preeclampsia is a serious pregnancy complication characterized by high blood pressure, potentially leading to organ damage, making early risk prediction crucial to reducing maternal morbidity and mortality. This study aims to develop a preeclampsia risk prediction model using medical and clinical data from 80 patients at Rumah Bersalin Sadan. The data include demographic profiles, blood pressure, weight, maternal age, preeclampsia history, body mass index, number of previous pregnancies, as well as genetic and environmental factors. The dependent variable is the risk of preeclampsia, either as

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Zhekambayeva, Maigul, Meruert Yerekesheva, Nurmambek Ramashov, Yermek Seidakhmetov, and Bakhytzhan Kulambayev. "Designing an artificial intelligence-powered video assistant referee system for team sports using computer vision." Retos 61 (October 15, 2024): 1162–70. http://dx.doi.org/10.47197/retos.v61.110300.

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This paper investigates the efficacy of an AI-powered Video Assistant Referee (VAR) system in enhancing officiating accuracy, efficiency, and consistency in team sports. Employing a combination of artificial intelligence and computer vision, the system was tested in a local championship in Almaty, involving eight football teams. Through the analysis of decision-making accuracy, time efficiency, and consistency across officiating scenarios, the study employed chi-squared tests, paired t-tests, and Cohen's Kappa statistics to quantitatively assess improvements over traditional VAR systems. Resul

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Gibson-Poole, S., S. Humphris, I. Toth, and A. Hamilton. "Identification of the onset of disease within a potato crop using a UAV equipped with un-modified and modified commercial off-the-shelf digital cameras." Advances in Animal Biosciences 8, no. 2 (2017): 812–16. http://dx.doi.org/10.1017/s204047001700084x.

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This paper investigates the effectiveness of using a UAV with dual commercial off-the-shelf (COTS) cameras, one un-modified and one modified to sense near infra-red (NIR) wavelengths to identify the onset of disease within a trial crop of potatoes. The trial was composed of 2 plots of 16 drills containing 12 tubers exposed to the blackleg disease-causing bacterial pathogen (Pectobacterium atrosepticum) in order to demonstrate best practise tuber storage and haulm destruction methods. Eleven sets of aerial data were gathered between 27/5/2016~29/7/2016 and compared with ground truth data collec

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Swanson, Elizabeth A., and Orpha J. Click. "Reliability and Validity of a New Preadmission Acuity Tool for Long-Term Care." Journal of Nursing Measurement 3, no. 1 (1995): 77–88. http://dx.doi.org/10.1891/1061-3749.3.1.77.

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The purpose of this project was to develop a new tool designed to assess the acuity of applicants to long-term facilities. Using a known groups method, residents of long-term care facilities were categorized as independent (n=68), assist (n=71), and dependent (n=65) and assessed using the Preadmission Acuity Inquiry Tool (PAI) to generate the data base for examining its psychometric properties. The progression of the mean scores from independent to assist to dependent demonstrates the ability of the tool to differentiate across varying levels of functional independence. Using discriminant anal

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Thongpoo, Preeyanuch, Jiravich Methawiroon, Bandid Mangkit, et al. "The Development of TIM-Barrel Based Multi-Epitope Protein for Toxoplasma gondii Serological Detection in Cats." Animals 15, no. 13 (2025): 1893. https://doi.org/10.3390/ani15131893.

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Toxoplasma gondii, a pathogen of significant concern in animal production, companion animal health, and public health, particularly affects immunocompromised individuals and pregnant women. Current diagnostic techniques employ both direct and indirect methods, with serological assays widely used for detecting T. gondii infections in humans and animals. In this study, the TIM-barrel structure of Br2 β-glucosidase was engineered to create 10 chimeric multi-epitope proteins for T. gondii serological detection. Indirect ELISA screening identified three promising candidate proteins, V4Z, SFF, and S

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Sun, Shasha, Chuanpeng Li, Ning Lv, Xiaoman Zhang, Zhaoyan Yu, and Haibo Wang. "Attention based convolutional network for automatic sleep stage classification." Biomedical Engineering / Biomedizinische Technik 66, no. 4 (2021): 335–43. http://dx.doi.org/10.1515/bmt-2020-0051.

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Abstract Sleep staging is an important basis for diagnosing sleep-related problems. In this paper, an attention based convolutional network for automatic sleep staging is proposed. The network takes time-frequency image as input and predict sleep stage for each 30-s epoch as output. For each CNN feature maps, our model generate attention maps along two separate dimensions, time and filter, and then multiplied to form the final attention map. Residual-like fusion structure is used to append the attention map to the input feature map for adaptive feature refinement. In addition, to get the globa

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Lemeunier, Nadège, Sophie Entwistle, Benjamin Fraisse, et al. "Cross-cultural adaptation of the Knowledge of Research Evidence Competencies questionnaire in French." European Rehabilitation Journal 4, no. 1 (2024): 1–7. http://dx.doi.org/10.52057/erj.v4i1.41.

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Background: The Knowledge of Research Evidence Competencies questionnaire (K-REC) stands out as one of the only quick, easy to administer, valid and reliable tests to measure respondents’ actual evidence-based practice (EBP) knowledge. Such reliable and valid tools to assess actual EBP knowledge do not exist in French. Objective: The purpose of this study is to translate, cross-culturally adapt and validate the K-REC questionnaire to assess EBP knowledge in French languages. Methods: A committee of experts followed the five-step adaptation and validation process recommended in the guidelines t

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Everest, Louis, Monica Shah, and Kelvin K. Chan. "Measuring the long-term “tail of curve” survival benefits in oncology trials: A comparison of the ASCO Value Framework and the ESMO Magnitude of Clinical Benefit Scale." Journal of Clinical Oncology 37, no. 15_suppl (2019): 2585. http://dx.doi.org/10.1200/jco.2019.37.15_suppl.2585.

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2585 Background: Recently, anti-cancer agents have generated excitement due to their capacity to preserve long-term survival in some patients, represented by a “tail of the survival curve”. However, as traditional measures of clinical benefit may not accurately capture long-term survival, amendments to various valuation frameworks have been proposed to capture this benefit. The purpose of this study was to determine how frequently immune checkpoint inhibitor vs. non-immune checkpoint inhibitor anti-cancer agents, displayed trends of long-term survival, as defined by the American Society of Cli

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Feng, Sophie, Yanshuo Cao, Eitan Amir, and Eric Xueyu Chen. "Evaluating the American Society of Clinical Oncology (ASCO) and European Society of Medical Oncology (ESMO) value frameworks for Food and Drug Administration (FDA) approved checkpoint inhibitors (CIs)." Journal of Clinical Oncology 37, no. 15_suppl (2019): 6624. http://dx.doi.org/10.1200/jco.2019.37.15_suppl.6624.

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6624 Background: Although the development of CIs has led to a dramatic change in the oncology landscape, these agents are associated with significant costs and toxicity. ASCO and ESMO have developed separate frameworks to define the value of emerging cancer treatments in order to encourage cost-effective therapies. We apply these frameworks to trials supporting FDA approvals of CIs and explore the correlation between these two scoring systems. Methods: We searched the FDA database for CIs and indications approved between January 1, 2011 and January 1, 2019. Only randomized phase II/III trials

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Li, Xiaoyang, Yuhe Ji, Guangsheng Zhou, et al. "A New Method for Bare Permafrost Extraction on the Tibetan Plateau by Integrating Machine Learning and Multi-Source Information." Remote Sensing 15, no. 22 (2023): 5328. http://dx.doi.org/10.3390/rs15225328.

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Bare permafrost refers to permafrost with almost no vegetation on the surface, which is an essential part of the ecosystem of the Tibetan Plateau. An accurate extraction of the boundaries of bare permafrost is vital for studying how it is being impacted by climate change. The accuracy of permafrost and bare land distribution maps is inadequate, and the spatial and temporal resolution is low. This is due to the challenges associated with obtaining significant amounts of data in high-altitude and alpine regions and the limitations of current mapping techniques in effectively integrating multiple

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Bartnik, Krzysztof, Joanna Podgórska, Grzegorz Rosiak, Krzysztof Korzeniowski, and Olgierd Rowiński. "Inter-observer agreement using the LI-RADS version 2018 CT treatment response algorithm in patients with hepatocellular carcinoma treated with conventional transarterial chemoembolization." Abdominal Radiology 47, no. 1 (2021): 115–22. http://dx.doi.org/10.1007/s00261-021-03272-9.

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Abstract Aim To determine inter-reader agreement in categorization of imaging features using the Liver Imaging Reporting and Data System (LI-RADS) treatment response (LR-TR) algorithm in patients with hepatocellular carcinoma (HCC) treated with conventional transarterial chemoembolization (cTACE). Methods Two radiologists used the LR-TR algorithm to assess 112 computed tomography (CT) examinations of 102 patients treated with cTACE. The inter-observer agreement in categorization of LR-TR features was assessed using kappa (κ) statistics. Results There was substantial inter-observer agreement be

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Hainsworth, L., LK Smith, M. Price, and A. Odutola. "Prioritising elective arthroplasty: a further challenge of COVID-19 Can a prioritisation scoring tool help with reducing waiting lists?" Bulletin of the Royal College of Surgeons of England 104, no. 2 (2022): 72–75. http://dx.doi.org/10.1308/rcsbull.2022.20.

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INTRODUCTION The COVID-19 pandemic has had a significant impact on the delivery of elective orthopaedic care in the UK, leading to a hugely increased number of patients on waiting lists. The focus has therefore now turned to reducing the backlog. We sought to develop a clear, objective and reproducible system for prioritising elective hip arthroplasty. METHODS The prioritisation scoring system was constructed using the Federation of Surgical Specialty Associations (FSSA) guidelines as a framework. This included current Oxford hip scores, review of imaging, waiting list duration and previous ca

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Fabijan, Artur, Agnieszka Zawadzka-Fabijan, Robert Fabijan, Krzysztof Zakrzewski, Emilia Nowosławska, and Bartosz Polis. "Assessing the Accuracy of Artificial Intelligence Models in Scoliosis Classification and Suggested Therapeutic Approaches." Journal of Clinical Medicine 13, no. 14 (2024): 4013. http://dx.doi.org/10.3390/jcm13144013.

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Background: Open-source artificial intelligence models (OSAIMs) are increasingly being applied in various fields, including IT and medicine, offering promising solutions for diagnostic and therapeutic interventions. In response to the growing interest in AI for clinical diagnostics, we evaluated several OSAIMs—such as ChatGPT 4, Microsoft Copilot, Gemini, PopAi, You Chat, Claude, and the specialized PMC-LLaMA 13B—assessing their abilities to classify scoliosis severity and recommend treatments based on radiological descriptions from AP radiographs. Methods: Our study employed a two-stage metho

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Wu, Yongchuang, Yanlan Wu, Biao Wang, and Hui Yang. "A Remote Sensing Method for Crop Mapping Based on Multiscale Neighborhood Feature Extraction." Remote Sensing 15, no. 1 (2022): 47. http://dx.doi.org/10.3390/rs15010047.

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Obtaining accurate and timely crop mapping is essential for refined agricultural refinement and food security. Due to the spectral similarity between different crops, the influence of image resolution, the boundary blur and spatial inconsistency that often occur in remotely sensed crop mapping, remotely sensed crop mapping still faces great challenges. In this article, we propose to extend a neighborhood window centered on the target pixel to enhance the receptive field of our model and extract the spatial and spectral features of different neighborhood sizes through a multiscale network. In a

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Fu, Dongyang, Shangfeng Du, Yang Si, Yafeng Zhong, and Yongze Li. "Dynamic Tracking Matched Filter with Adaptive Feedback Recurrent Neural Network for Accurate and Stable Ship Extraction in UAV Remote Sensing Images." Remote Sensing 16, no. 12 (2024): 2203. http://dx.doi.org/10.3390/rs16122203.

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In an increasingly globalized world, the intelligent extraction of maritime targets is crucial for both military defense and maritime traffic monitoring. The flexibility and cost-effectiveness of unmanned aerial vehicles (UAVs) in remote sensing make them invaluable tools for ship extraction. Therefore, this paper introduces a training-free, highly accurate, and stable method for ship extraction in UAV remote sensing images. First, we present the dynamic tracking matched filter (DTMF), which leverages the concept of time as a tuning factor to enhance the traditional matched filter (MF). This r

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Omari, Amro, Caitlyn Cooper, Eric B. Desjarlais, et al. "Grid-Based Software for Quantification of Diabetic Retinal Nonperfusion on Ultra-Widefield Fluorescein Angiography." Diagnostics 15, no. 7 (2025): 875. https://doi.org/10.3390/diagnostics15070875.

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Background/Objectives: Fluorescein angiography (FA) is essential for diagnosing and managing diabetic retinopathy (DR) and other retinal vascular diseases and has recently demonstrated potential as a quantitative tool for disease staging. The advent of ultra-widefield (UWF) FA, allowing visualization of the peripheral retina, enhances this potential. Retinal hypoperfusion is a critical risk factor for proliferative DR, yet quantifying it reliably remains a challenge. Methods: This study evaluates the efficacy of the Michigan grid method, a software-based grading system, in detecting retinal hy

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Vega Fernandez, P., T. Hennard, K. Rogers, A. B. Meyers, A. Cassedy, and T. Ting. "POS1314 VALIDATION OF A PEDIATRIC-SPECIFIC ULTRASOUND SCORING SYSTEM FOR THE EVALUATION OF WRIST, FINGER, AND ANKLE SYNOVITIS." Annals of the Rheumatic Diseases 81, Suppl 1 (2022): 994.2–994. http://dx.doi.org/10.1136/annrheumdis-2022-eular.3647.

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BackgroundJuvenile Idiopathic Arthritis (JIA) is the most common chronic rheumatic disease in children. Clinical evaluation of arthritis is a subjective measurement. Musculoskeletal ultrasound (MSUS) is increasingly being utilized in children. In order to provide objective assessments of arthritis, reliable and validated MSUS scoring systems are needed. Recently, a joint-specific scoring system for the assessment of arthritis of the pediatric ankle, wrist and finger joints were proposed[1, 2].ObjectivesThis study aims to further validate the MSUS scoring system for the assessment of finger, wr

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