Relevant bibliographies by topics / SVNS

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'SVNS'

Author: Grafiati
Published: 4 June 2025
Last updated: 6 July 2025

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Journal articles on the topic "SVNS"

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Cano, Allan, and Gaudencio Petalcorin. "Single-valued Neutrosophic Soft Sets in Hyper UP-Algebra." European Journal of Pure and Applied Mathematics 16, no. 1 (2023): 548–76. http://dx.doi.org/10.29020/nybg.ejpam.v16i1.4637.

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In this paper, the notions of SVN hyper UP-algebra and SVNS hyper UP-algebra are introduced, and some of their structural properties are investigated. Moreover, the Cartesian product of SVNS hyper UP-algebra is discussed and proved to be a SVNS hyper UP- algebra. Finally, the homomorphic image and preimage of SVNS hyper UP-algebra under SVNS functions are studied and showed also to be SVNS hyper UP-algebra.
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Wang, Tongjuan. "Distance of Single-Valued Neutrosophic Set and Its Application in Pattern Recognition." Journal of Physics: Conference Series 2025, no. 1 (2021): 012019. http://dx.doi.org/10.1088/1742-6596/2025/1/012019.

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Abstract Single-valued neutrosophic set (SVNS) is an extension of fuzzy set, which combines the truth, indeterminacy, and falsity information. The measurement of distance of single-valued neutrosophic set will bring new ideas to pattern recognition. This paper introduces the distance definitions and properties of SVNS, and proposes the improved distance definition of single-valued neutrosophic set based on decision maker attitude towards indeterminacy information and applied them to pattern recognition. By assigning a value to decision-maker’s attitude towards indeterminacy information, this attitude comes from the historical experience and risk preference etc. The distance calculated in this way can often get a matching result closer to the reality. The results show that the improved distance formula of SVNSs is more effective and more practical for pattern recognition.
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Rong, Yuan, Wenyao Niu, Harish Garg, Yi Liu, and Liying Yu. "A Hybrid Group Decision Approach Based on MARCOS and Regret Theory for Pharmaceutical Enterprises Assessment under a Single-Valued Neutrosophic Scenario." Systems 10, no. 4 (2022): 106. http://dx.doi.org/10.3390/systems10040106.

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Evaluating pharmaceutical enterprises with sustainable and high-quality development ability (SHQDA) can not only provide strategies for the pharmaceutical management department in formulating enterprise development plans, but also provide suggestions and guidance for enterprises to enhance their core competitiveness. Nevertheless, the prior research possesses several deficiencies in coping with the assessment of enterprises with SHQDA under uncertain environments to predict the psychological behavior of the evaluator and the correlation among the evaluation criteria. To conquer the aforementioned defects, we propose an integrated framework for rating pharmaceutical enterprises that incorporates regret theory, measurement alternatives and ranking based on the compromise solution (MARCOS) and Heronian mean operating within a single-value neutrosophic set (SVNS) environment. First, the single-valued neutrosophic number (SVNN) is employed to portray the assessment information of experts. Then, a novel single-valued neutrosophic score function is presented to enhance the rationality of the SVNN comparison. Next, a combined criteria weight model is constructed by synthesizing the best and worst method (BWM) and criteria importance through intercriteria correlation (CRITIC) approach to attain more reasonable and credible weight information. Furthermore, the integrated assessment framework combining regret theory-MARCOS method and Heronian mean operator is put forward to assess and select the enterprises with SHQDA under a single-valued neutrosophic setting. Ultimately, an empirical concerning the pharmaceutical enterprises assessment is presented within SVNS to illustrate the usefulness and effectiveness of the presented SVNS regret theory-MARCOS method. Thereafter, the sensitivity analysis and comparison analysis are implemented to provide evidence for the rationality and superiority of the proposed method.
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Feng, Xianling, Xinxin Yue, and Mao Niu. "Simvastatin-Loaded Nanomicelles Enhance the Osteogenic Effect of Simvastatin." Journal of Nanomaterials 2020 (November 18, 2020): 1–14. http://dx.doi.org/10.1155/2020/1072765.

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Objectives. The present study intended to further verify that simvastatin-loaded nanomicelles (SVNs) enhanced the role of simvastatin (SV) in promoting osteoblast differentiation in vitro and to evaluate the effect of SVNs on bone defect repair in vivo. Methods. SVNs were synthesized by dialysis. MG63 cells were subjected to intervention with 0.25 μmol/l of SVNs and SV. A 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium (MTS) assay kit and flow cytometry were used to determine cell proliferation activity, cell cycle distribution, and apoptosis. The osteoblastic differentiation of MG 63 cells was evaluated by measuring alkaline phosphatase (ALP) activity, ALP staining, and the expression levels of the osterix (Osx) and osteocalcin (OC) proteins. In addition, 0.5 mg of SVNs or SV was applied to the skull defect area of rabbits. Micro-CT, hematoxylin and eosin (HE) staining, and Masson’s trichrome staining were used for qualitative and quantitative evaluation of new bone in three dimensions and two dimensions. Results. The SVNs had a mean diameter of 38.97 nm. The encapsulation and drug-loading efficiencies were 54.57 ± 3.15 % and 10.91 ± 0.63 % , respectively. In vitro, SVNs and SV can inhibit the proliferation activity and promote osteogenic differentiation of MG63 cells by arresting MG63 cells at the G0/G1 phase without increasing the apoptosis rate. In vivo quantitative results showed that the bone mineral density (BMD), bone volume (BV)/total volume (TV) ratio, and trabecular number (Tb.N) in the gelatin sponge with SVNs (SVNs-GS) group and gelatin sponge with SV (SV-GS) group were 362.1%, 292.0%; 181.3%, 158.0%; and 215.2%, 181.8% of those in the blank control (BC) group, respectively. Histological results identified the new bone tissue in each group as irregular fibrous bone, and the arrangement of trabecular bone was disordered. There were significantly more osteoblasts and new capillaries around the trabecular bone in the SVNs-GS group and SV-GS group than in both the BC and drug-free nanomicelle (DFNs) groups. Both in vitro and in vivo, SVNs exhibited greater osteogenic efficacy than SV. Conclusion. SVNs significantly improved the osteogenic efficacy of SV.
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Abeer Eisa, M. Fattouh, and A. A. ElShabshery. "Single-Valued Neutrosophic Sets Based Score Function and WASPAS Method for Plant Location Selection Problem." Journal of Advanced Research in Applied Sciences and Engineering Technology 41, no. 2 (2024): 139–51. http://dx.doi.org/10.37934/araset.41.2.139151.

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In the context of single-valued neutrosophic sets (SVNSs), where the weights of the criteria are unknown, this work seeks to provide an integrated technique based on Entropy and Weighted Aggregate Sum Product Assessment (WASPAS) methodologies. A numerical case study (the plant site selection issue) is used to establish precise values for the criteria. We initially "fuzzify" the decision matrix before transforming it into an SVNS- decision matrix. The SVNS entropy weight technique is used to assign weights to each criterion. The scoring function is used by a tweaked version of the WASPAS algorithm to choose the optimal solution. The subject under study has also been applied to other MCDM methods, such as the more prevalent VIKOR and MOORA procedures. The SVNS-VIKOR technique has also been applied to the issue at hand. Using the same illustrative scenario, this study evaluates the strengths and weaknesses of several methods for verifying the accuracy of previously published data. The usefulness and efficiency of the used strategy are highlighted by the comparison study. When applied to real-world situations, the suggested method shines because it yields reliable findings even though the underlying data is plagued with issues such as uncertainty, imprecision, indeterminacy, and inconsistency.
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Zhang, Huanying, Fei Wang, and Yushui Geng. "Multi-Criteria Decision-Making Method Based on Single-Valued Neutrosophic Schweizer–Sklar Muirhead Mean Aggregation Operators." Symmetry 11, no. 2 (2019): 152. http://dx.doi.org/10.3390/sym11020152.

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Schweizer–Sklar (SS) operation can make information aggregation more flexible, and the Muirhead mean (MM) operator can take into account the correlation between inputs by a variable parameter. Because traditional MM is only available for real numbers and single-valued neutrosophic set (SVNS) can better express incomplete and uncertain information in decision systems, in this paper, we applied MM operators to single-valued neutrosophic sets (SVNSs) and presented two new MM aggregation operators with the SS operation, i.e., a single-valued neutrosophic SS Muirhead mean (SVNSSMM) operator and a weighted single-valued neutrosophic SS MM (WSVNSSMM) operator. We listed some properties of them and some particular cases about various parameter values. We also proposed the multi-criteria decision-making method based on the WSVNSSMM operator in SVNS. At last, we illustrated the feasibility of this method using a numerical example of company investment.
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Mee, Katie. "Working together as SVNs." Veterinary Nursing Journal 35, no. 8 (2020): 221. http://dx.doi.org/10.1080/17415349.2020.1825145.

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Alghamdi, Mohammed I. "Single Valued Neutrosophic Sets with Optimal Support Vector Machine for Sentiment Analysis." International Journal of Neutrosophic Science 18, no. 3 (2022): 227–37. http://dx.doi.org/10.54216/ijns.1803020.

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Sentiment analysis (SA) is mainly employed to investigate the polarity of the sentiment existent in a content. It assist in understanding the opinions or feelings expressed by people. It find useful in several application areas such as e-commerce, education, etc. Natural language processing (NLP) and machine learning tools can be employed for SA. In this view, this study develops a Single Valued Neutrosophic Sets with Optimal Support Vector Machine (SVNS-OSVM) model for SA. The major intention of the SVNS-OSVM model is to identify the existence of sentiments exist in the data. The SVNS-OSVM model initially performs data pre-processing to transform the input data into a useful format. In addition, SVNS model is applied to derive word embeddings. Then, SVM model is applied for the detection and classification of sentiments. At the last level, the improved particle swarm optimization (IPSO) algorithm is used to fine tune the parameters involved in the SVM model. For ensuring the improved outcomes of the SVNS-OSVM model, a wide range of simulations were performed and the results are inspected under several aspects. The comparative study highlighted the betterment of the SVNS-OSVM model compared to recent approaches.
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Ren, Jinluan, Liping Zhao, Bo Li, Lihua Liu, and Ruben Xing. "Measuring Service Utilities in Service Value Networks." International Journal of Information Systems in the Service Sector 9, no. 2 (2017): 1–26. http://dx.doi.org/10.4018/ijisss.2017040101.

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In spite of the importance of service value networks (SVNs) in today's service sectors, academic studies of SVNs, in terms of their formalisms, models and value creation processes, are still lacking, with only sporadic publications available. This paper intends to make a contribution to the formal studies of SVNs with a threefold aim: (1) to provide an overview of existing work on value creation processes in SVNs and SVN models, (2) through this exposition, to propose a formalism for measuring service utility for SVNs, and (3) to illustrate this formalism through a real world SVN scenario based on China's mobile services market. The proposed formalism consists of a formal definition of service utilities for both primitive and complex services and a systematic approach with repeatable processes for measuring these utilities. Among several potential practical uses, this formalism can be embedded into a software system as a decision tool for service selection, composition and pricing. In addition, it can also serve as a business services analysis tool during the early stages of developing software intensive service systems, where business service abstractions can be represented as SVNs.
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Taylor, Susanna, and Liz Armitage-Chan. "An evidence-based approach to workplace anaesthesia training. Part 2." Veterinary Nurse 12, no. 8 (2021): 348–53. http://dx.doi.org/10.12968/vetn.2021.12.8.348.

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Part one of this article considered the value of using educational evidence to teach student veterinary nurses (SVNs), discussed the characteristics of SVNs as learners, and described the importance of developing SVNs—not only in their anaesthetic skills, but also in becoming more self-directed professionals. As part one highlighted some of the challenges that SVNs experience as they attempt to learn in a veterinary practice, this second part will consider some common questions about veterinary nursing teaching and provide examples of techniques that can be used by registered veterinary nurses (RVNs) to improve teaching strategies for anaesthesia in the workplace. While some of the educational theories mentioned may be dated, this article aims to use supportive contemporary evidence to show how they are still relevant to help guide our teaching.
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Dissertations / Theses on the topic "SVNS"

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Keanius, Erik. "Mathematical Optimization in SVMs." Thesis, KTH, Skolan för teknikvetenskap (SCI), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-297492.

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In this thesis, support vector machines (SVMs) are studied from a mathematical optimization viewpoint. Both the linear case using hard-margin as well as soft-margin classification and the non-linear case using kernel functions are discussed. The theory of kernel Hilbert spaces is introduced and related to the non-linear SVM case. Moreover, fundamental theorems from optimization, including Lagrangian duality and KKT conditions, are introduced and proved. These theorems are then applied to the optimization problem of SVMs. Finally, the SVM optimization problem is implemented, solved, and visualized in Python.
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Örnjäger, Malin. "Svens krisberedskap : och förväntningar på samverkan." Thesis, Försvarshögskolan, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:fhs:diva-6620.

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Skogsbranden i Västmanland 2014 utvecklades till en samhällstörning som ställde höga krav på det svenska krisberedskapssystemet. Ett stort antal samhällsaktörer var involverade i insatsen som i efterhand har blivit föremål för granskning på flera håll. Insatsen har kritiserats bland annat för bristande samverkan och effektivitetsproblem. Den här studien undersöker varför insatsen drabbades av effektivitetsproblem och huruvida krisberedskapssystemets utformning påverkade. Med hjälp av teorin om byråpolitik som berör konkurrens mellan samverkanspartners har insatsen analyserats genom rapporter och utredningar. Utifrån det teoretiska ramverket har intressekonflikter, beslutsmandat och implementeringseffekter analyserats. Resultatet av analysen visar att effektivitetsproblem kan spåras till krisberedskapssystemets struktur. Studien menar vidare att styrande principer, ansvars-, likhets-, närhetsprincipen samt det geografiska områdesansvaret, i systemet bidrog till att en byråpolitisk beslutsstruktur uppstod vilket hämmade insatsens effektivitet. Därmed föreslås också att de förväntningar som krisberedskapssystemet etablerar på aktörer gällande samordning och samverkan kompletteras med en tillsynsfunktion.
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Nguyen, Minh Hoai. "Segment-based SVMs for Time Series Analysis." Research Showcase @ CMU, 2012. http://repository.cmu.edu/dissertations/202.

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Enabling computers to understand human and animal behavior has the potential to revolutionize many areas that benefit society such as clinical diagnosis, human-computer interaction, and social robotics. Critical to the understanding of human and animal behavior, and any temporally-varying phenomenon in general, is the capability to segment, classify, and cluster time series data. This thesis proposes segment-based Support Vector Machines (Seg-SVMs), a framework for supervised, weakly-supervised, and unsupervised time series analysis. Seg-SVMs outperform state-of-the-art approaches by combining three powerful ideas: energy-based structure prediction, bag-of-words representation, and maximum-margin learning. Energy-based structure prediction provides a principled mechanism for concurrent top-down recognition and bottom-up temporal localization. Bag-of-words representation provides segment-based features that tolerate misalignment errors and are computationally efficient. Maximum-margin learning, such as SVM and Structure Output SVM, has a convex learning formulation; it produces classifiers that are discriminative and less prone to over-fitting. In this thesis, we show how Seg-SVMs outperform state-of-the-art approaches for segmenting, classifying, and clustering human and animal behavior in video and accelerometer data of varying complexity. We illustrate these benefits in the problems of facial event detection, sequence labeling of human actions, and temporal clustering of animal behavior. In addition, the Seg-SVMs framework naturally provides solutions to two novel problems: early detection of human actions and weakly-supervised discovery of discriminative events.
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Heron, Gavin. "The effectiveness of Scottish vocational qualifications as a method of qualifying residential staff in children's homes." Thesis, University of Strathclyde, 2000. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=21399.

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Working in children's homes is widely recognised as one of the most stressful and demanding roles within social work. Yet, unlike their fieldwork colleagues, residential staff have traditionally remained unqualified. This situation was altered in the early 1990's with the introduction of Scottish Vocational Qualifications (SVQs) as a method of qualifying residential child care workers. At the heart of SVQs is 'competence'. SVQs are 'independent' of learning and training and are designed to enable staff to be assessed as competent within the workplace. Whilst the need to have competent staff is clearly desirable, how it is achieved, or indeed measured, is far less evident. Essentially, any definition of competence will reflect a particular view of the responsibility of social work within contemporary society; a role that has been subject to considerable debate. Should social work, for example, focus on helping "individuals" and, or, does it have a responsibility to challenge the status quo, especially when structural inequalities prevail within society? In determining the nature of social work, the ability of any group to exert control over education and training has been central. Although SVQs have been widely implemented within social work, there has been minimal research regarding their impact on practice. This study examined SVQ Care: Promoting Independence (level III) within children's homes. The study focuses on the extent to which SVQs enhance practice and their function within a 'learning society'. The evidence presented in the study suggests that there are considerable deficiencies, both in terms of the SVQ format and the way in which children's homes are structured for the assessment of 'competence'. Rather than address the history of 'failure' within children's homes, SVQs have enabled the status quo to be maintained whilst creating an 'illusion' of change.
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Granlund, Henrik. "Integration of SVRS into the modelling tool GOAT." Thesis, Linköping University, Department of Computer and Information Science, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-51131.

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<p>This document is the final report to the thesis executed by Henrik Granlund at the University of Linköping. The thesis is a practical assignment which includes an extension of the currently existing modelling tool GOAT. The extension regards to a integration of the internet based security database, the SHIELDS SVRS. The report goes through an overview of how GOAT is designed and later also the parts that has been extended. There after follows a summary and discussion about the work.</p>
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Wall, Scherer Josefine. "Vem hotar Upplysningen? : Om kunskapsproduktion i SVTs Idévärlden." Thesis, Stockholms universitet, Institutionen för etnologi, religionshistoria och genusvetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-165392.

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ABSTRAKT Media har mycket makt och inflytande över människor samt stor frihet i att framställa vissa kroppar på vissa sätt. Tolkningen är alltid vår egen men utan ett kritiskt perspektiv osynliggörs de hegemoniska diskurser som media producerar där generaliseringar och stereotypiseringar används för att bygga upp en viss bild. I debatten om vad som är kunskap blir en kritisk blick viktig för att kunna ifrågasätta kunskapsproduktion. I denna studie granskas, genom diskursanalys som metod, media som kunskapsproducent utifrån ett populärvetenskapligt program med just Upplysningen som tema. Upplysningen, som kan ses som en början till en kritiskt tanketradition anses vara hotad. Den här studien går ut på att försöka förstå vem eller vad som skulle kunna vara hotet och på vilket sätt hotet tar sig uttryck. En slutsats är att genusvetenskapen som vetenskap kan ses som hotet. Att ifrågasätta de manliga upplysningsfilosofernas tankar och idéer samt deras upphöjdhet ses som hotfullt. Förnuft står i kontrast till känslan. Identitetspolitik som bygger på erfarenhet ses som motupplysning där vissa grupper ges tolkningsföreträden och därmed frikort från den förnuftiga argumentationen och samtalet. Nyckelord: kunskapsproduktion, upplysningen, genusvetenskap, identitetspolitik
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Berg, Claes. "Utan svans - inga tänder : Framgång ur ett logistikperspektiv." Thesis, Försvarshögskolan, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:fhs:diva-7541.

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Professionella militärer menar att logistik har en avgörande roll för krigföringen. Trots detta är det få forskare som studerat logistikens betydelse. Fram till 1900-talets senare hälft var området i stort sett outforskat men sedan dess har fler och fler intresserat sig för logistiken. Jämfört med exempelvis strategi är det få, och relativt små, studier som genomförts men alla är överens om att området är dåligt utforskat. De få teorier som utvecklats om logistikens betydelse har prövats av respektive författare men ingen har jämfört och ställt teorierna mot varandra. I en studie av Falklandskriget 1982 kommer därför logistikens roll för utgången av konflikten att undersökas ur två teoretiska perspektiv. Thomas M. Kanes teori om logistiken som skiljedomare och Mark Erbels &amp; Christopher Kinseys teori om det logistiskstrategiska navet kommer båda att appliceras på fallet och resultatet användas för att jämföra teoriernas skillnader i syfte att visa på möjligheter för framtida teoriutveckling. Resultatet visar att logistik spelade en avgörande roll för utgången av Falklandskriget och att den sida som hade de bästa logistiska förutsättningarna segrare. De båda teorierna visar sig kunna förklara detta men de skiljer sig åt. Dessa skillnader och de frågor som skapas visar på behovet av ytterligare forskning om logistik och dess relation till strategi.
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Tatar, Säde. "Blås östanvind / Stilanalysarbete om spilåpiparen Sväs Anders Ersson." Thesis, Kungl. Musikhögskolan, Institutionen för folkmusik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kmh:diva-4222.

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Miranda, Péricles Barbosa Cunha de. "Arquitetura híbrida para otimização multi-objetivo de SVMs." Universidade Federal de Pernambuco, 2013. https://repositorio.ufpe.br/handle/123456789/12415.

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Submitted by Luiz Felipe Barbosa (luiz.fbabreu2@ufpe.br) on 2015-03-12T13:03:02Z No. of bitstreams: 2 Dissertaçao Péricles Miranda.pdf: 2165606 bytes, checksum: d9dd28b8af21e867949112bcb33578ac (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5)<br>Approved for entry into archive by Daniella Sodre (daniella.sodre@ufpe.br) on 2015-03-13T13:13:38Z (GMT) No. of bitstreams: 2 Dissertaçao Péricles Miranda.pdf: 2165606 bytes, checksum: d9dd28b8af21e867949112bcb33578ac (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5)<br>Made available in DSpace on 2015-03-13T13:13:38Z (GMT). No. of bitstreams: 2 Dissertaçao Péricles Miranda.pdf: 2165606 bytes, checksum: d9dd28b8af21e867949112bcb33578ac (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Previous issue date: 2013-02-22<br>Vem sendo dada grande atenção às Máquinas de Vetores de Suporte (SVMs) devido à sua fundamentação teórica e seu bom desempenho quando comparadas a outros algoritmos de aprendizado em diferentes aplicações. Porém, seu bom desempenho depende fortemente da escolha adequada de seus parâmetros de controle. Como a abordagem de tentativa e erro se torna impraticável devido às combinações entre os possíveis valores dos parâmetros, a seleção de parâmetros passou a ser tratada como um problema de otimização, de modo que o objetivo é encontrar a combinação de valores dos parâmetros mais adequada para um determinado problema. Embora a utilização de algoritmos de otimização e busca automatizem a seleção de parâmetros de SVM, ela pode se tornar inviável caso o número de parâmetros a serem selecionados aumente consideravelmente. Uma alternativa é o uso de Meta-Aprendizado (MA), que trata a tarefa de seleção de parâmetros como uma tarefa de aprendizado supervisionado. Cada exemplo de treinamento para o MA (meta-exemplo) armazena características de problemas passados e o desempenho obtido pelas configurações de parâmetros candidatas. Este conjunto de meta-exemplos forma a meta-base, sendo esta utilizada para auxiliar no módulo de sugestão ou meta-aprendiz. O meta-aprendiz tem a função de prever as configurações de parâmetros mais adequadas para um problema novo baseado em suas características. Deste modo, MA se torna uma alternativa menos custosa comparada aos algoritmos de otimização, pois faz uso de execuções passadas no processo de sugestão. Neste trabalho, as sugestões do meta-aprendiz são utilizadas como soluções iniciais da técnica de busca, sendo esta responsável pelo refinamento das soluções sugeridas. Neste trabalho, foi criada uma arquitetura híbrida multi-objetivo, que combina MA com algoritmos de otimização, inspirados em enxames de partículas, com múltiplos objetivos aplicado ao problema de seleção de parâmetros de SVMs. Os algoritmos de otimização utilizados no experimento foram: MOPSO, MOPSO-CDR, MOPSO-CDRS, CSS-MOPSO, m-DNPSO e MOPSO-CDLS, e os objetivos levados em consideração foram: maximização da taxa de acerto na classificação e minimização do número de vetores de suporte. De acordo com os resultados alcançados, ficou comprovado o potencial do MA na sugestão de soluções para os algoritmos de otimização. O início da busca em regiões promissoras favoreceu a convergência e geração de soluções ainda melhores, quando comparada a aplicação de algoritmos de busca tradicionais. Os Pareto fronts gerados foram analisado em 4 perspectivas (spacing, max. spread, hypervolume e coverage), sendo os resultados da abordagem híbrida superiores aos das técnicas de otimização tradicionais.
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Adankon, Mathias Mahouzonsou. "Apprentissage semi-supervisé pour les SVMS et leurs variantes." Mémoire, École de technologie supérieure, 2009. http://espace.etsmtl.ca/20/1/ADANKON_Mathias_Mahouzonsou.pdf.

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La reconnaissance de formes est un domaine fort intéressant de l'intelligence artificielle. Pour résoudre les problèmes de reconnaissance de formes, des classifieurs sont construits en utilisant des prototypes de données à reconnaître ainsi que leur classe d'appartenance. On parie d'apprentissage supervisé. Aujourd'hui, face aux importants volumes de données disponibles, le coût de l'étiquetage des données devient très exorbitant. Ainsi, il est impraticable, voir impossible d'étiqueter toutes les données disponibles. Mais puisque, nous savons que la performance d'un classifieur est liée au nombre de données d'apprenfissage, la principale quesdon qui ressort est comment améliorer l'apprentissage d'un classifieur en ajoutant des données non étiquetées à l'ensemble d'apprentissage. La technique d'apprenfissage issue de la réponse à cette quesfion est appelée apprentissage semi-supervisé. La machine à vecteurs de support(SVM) et sa variante Least-Squares SVM (LS-SVM) sont des classifieurs particuliers basés sur le principe de la maximisation de la marge qui leur confère un fort pouvoir de généralisation. Au cours de nos travaux de recherche, nous avons considéré l'apprentissage semi-supervisé de ces machines. Dès lors, nous avons proposé diverses techniques d'apprentissage de ces machines pour accomplir cette tâche. Dans un premier temps, nous avons ufilisé l'inférence bayésienne pour estimer les paramètres du modèle et les étiquettes. Ainsi, nous avons élaboré des formulations bayésiennes à un et deux niveau(x) d'inférence, qui sont par la suite appliquées aux SVMs et aux LS-SVMs dans le contexte de l'apprentissage semi-supervisé. Dans un second temps, nous avons proposé d'améliorer la technique d'auto-apprentissage, en utilisant un classifieur d'approche générative pour aider le principal classifieur discriminant entraîné en semi-supervisé à étiqueter les données. Nous nommons cette stratégie Apprentissage soutenu (Help-Training), et nous l'avons appliqué avec succès aux SVMs et à sa variante LS-SVM. Nos divers algorithmes d'apprentissage semi-supervisé ont été testés sur des données artificielles et réelles et ont donné des résultats encourageants. Cette validation a été appuyée par une analyse montrant les avantages et les limites de chacun des méthodes développées.
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Books on the topic "SVNS"

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Council, Scottish Vocational Education, and National Council for Vocational Qualifications., eds. Assessment of NVQs and SVQs. NCVQ, 1997.

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Employment, Great Britain Department for Education and. NVQs and SVQs at a glance. DfEE, 1998.

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John, Maggie Jo St. Language issues in NVQs and SVQs. Department for Education and Employment, 1996.

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Central Council for Education and Training in Social Work. Recording evidence for SVQs: Guidance notes. CCETSW, 1995.

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Jones, Linda. The traveller's guide to NVQs and SVQs. Central Council for Education and Training in Social Work, 1994.

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Center, Ames Research, ed. Parallel Ada benchmarks for the SVMS: Final report. University of California, San Diego, California Space Institute, 1990.

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Authority, Qualifications and Curriculum, ed. Developing an assessment strategy for NVQs and SVQs. QCA, 1999.

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Authority, Qualifications and Curriculum, ed. Developing national occupational standards for NVQs and SVQs. Qualifications and Curriculum Authority, 1999.

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Ishkin, Vi͡acheslav Khusainovich. Apparatura mnogokanalʹnoĭ svi͡azi po VL SVN. Ėnergoatomizdat, 1986.

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A, Gordopolov I͡U, and Institut strukturnoĭ makrokinetiki (Akademii͡a nauk SSSR), eds. Udarno-volnovoe kompaktirovanie VTSP SVS-keramiki. In-t strukturnoĭ makrokinetiki AN SSSR, 1990.

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Book chapters on the topic "SVNS"

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Jensen, Lindsay G., Loren K. Mell, Christin A. Knowlton, et al. "SVCS." In Encyclopedia of Radiation Oncology. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-540-85516-3_1261.

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Paul, Waltraud. "SVCs in disguise." In Linguistik Aktuell/Linguistics Today. John Benjamins Publishing Company, 2022. http://dx.doi.org/10.1075/la.272.05pau.

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Dobrica, Mihaela-Olivia, Catalin Lazar, and Norica Branza-Nichita. "Production of Chimeric Hepatitis B Virus Surface Antigens in Mammalian Cells." In Vaccine Delivery Technology. Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0795-4_7.

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Abstract The small (S) envelope protein of the Hepatitis B Virus (HBV), HBV-S, has the unique ability to self-assemble into highly immunogenic subviral particles (SVPs), in the absence of other viral factors, in eukaryotic cells, including those of nonhepatic origin. This feature is currently exploited for generation of SVPs exposing heterologous epitopes on their surface that can be used as vaccine candidates to target various diseases. Here, we describe a simple and robust method for production of such chimeric HBV-S protein-based SVPs in transiently transfected HEK293T cells and purification from cell supernatants by ultracentrifugation on sucrose cushion and sucrose step gradients. The SVPs obtained by this methodology have been successfully used in immunogenicity studies in animal models.
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Kotowski, Ryan J. S., Enoch O. Aboh, and Jan Don. "Chapter 7. The eventive functional sequence." In Studies in Language Companion Series. John Benjamins Publishing Company, 2024. http://dx.doi.org/10.1075/slcs.235.07kot.

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The Kwa languages (Niger-Congo) of West Africa are well-known for displaying Serial Verb Constructions (SVCs). The literature on SVCs contains various definitions of the phenomenon and recapitulates the general observation that these constructions express fine-grained information about a complex event and the participants involved therein. This paper seeks to shed light on the structure that underlies Take and Give SVCs in Gungbe, a Gbe (Kwa) language spoken in Benin and Nigeria. The examples discussed in the paper demonstrate how Gungbe is able to employ SVCs to encode specific details about the eventive structure. The proposed analysis further sheds light on elements which were classified in the Kwa literature as ‘verbid’ (cf. Ansre 1966) for their ambiguous status between adpositions and lexical verbs. It is argued that the ambiguity reduces to the nature of roots and their functions in Gungbe: the same root can occupy different grammatical functions.
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Forsyth, David. "SVMs and Random Forests." In Applied Machine Learning. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18114-7_2.

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Lopes, Noel, and Bernardete Ribeiro. "Support Vector Machines (SVMs)." In Studies in Big Data. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-06938-8_5.

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Kang, Pilsung, and Sungzoon Cho. "EUS SVMs: Ensemble of Under-Sampled SVMs for Data Imbalance Problems." In Neural Information Processing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11893028_93.

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Men, Liang, and Nick Bryan-Kinns. "Supporting Sonic Interaction in Creative, Shared Virtual Environments." In Sonic Interactions in Virtual Environments. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04021-4_8.

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AbstractThis chapter examines user experience design for collaborative music making in shared virtual environments (SVEs). Whilst SVEs have been extensively researched for many application domains including education, entertainment, work and training, there is limited research on the creative aspects. This results in many unanswered design questions such as how to design the user experience without being detrimental to the creative output, and how to design spatial configurations to support both individual creativity and collaboration. Here, we explore multi-modal approaches to supporting creativity in collaborative music making in SVEs. We outline an SVE, LeMo, which allows two people to create music collaboratively. We then present two studies; the first explores how free-form visual 3D annotations instead of spoken communication can support collaborative composition processes and human–human interaction. Five classes of use of annotation were identified in the study, three of which are particularly relevant to the future design of sonic interactions in virtual environments. The second study used a modified version of LeMo to test the support for a creative collaboration of two different spatial audio settings, which according to the results, changed participants’ behaviour and affected their collaboration. Finally, design implications for the auditory design of SVEs focusing on supporting creative collaboration are given.
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Epshteyn, Arkady, and Gerald DeJong. "Rotational Prior Knowledge for SVMs." In Machine Learning: ECML 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11564096_15.

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Joachims, Thorsten. "Efficient Performance Estimators for SVMs." In Learning to Classify Text Using Support Vector Machines. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0907-3_5.

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Conference papers on the topic "SVNS"

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Yinan, Guo, Jia Lijuan, Wang Liru, and Zhang Jinchuan. "Distributed SVMs Using Diffusion Strategy." In 2024 43rd Chinese Control Conference (CCC). IEEE, 2024. http://dx.doi.org/10.23919/ccc63176.2024.10662053.

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Belanche, Lluis. "A new approach to multilayer SVMs." In ESANN 2025. Ciaco - i6doc.com, 2025. https://doi.org/10.14428/esann/2025.es2025-183.

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"SVNs Committee." In IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, 2022. http://dx.doi.org/10.1109/infocomwkshps54753.2022.9798316.

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Maximiano, Marisa da Silva, Miguel A. Vega-Rodriguez, Juan A. Gomez-Pulido, and Juan M. Sanchez-Perez. "Multiobjective frequency assignment problem using the MO-VNS and MO-SVNS algorithms." In 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC 2009). IEEE, 2009. http://dx.doi.org/10.1109/nabic.2009.5393695.

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Petrovas, Aurimas, and Romualdas Bausys. "Regionally morphing objects for the genetic WASPAS-SVNS game scene generation algorithm." In 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET). IEEE, 2022. http://dx.doi.org/10.1109/icecet55527.2022.9872949.

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Awang, Azzah, Ahmad Termimi Ab Ghani, Lazim Abdullah, and Muhammad Fadhli Ahmad. "A DEMATEL method with single valued neutrosophic set (SVNS) in identifying the key contribution factors of Setiu Wetland’s coastal erosion." In PROCEEDING OF THE 25TH NATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES (SKSM25): Mathematical Sciences as the Core of Intellectual Excellence. Author(s), 2018. http://dx.doi.org/10.1063/1.5041542.

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Ghosh, S. Tina, Alfred Hathaway, Hossein Esmaili, Kyle W. Ross, Douglas M. Osborn, and Kenneth C. Wagner. "Estimating Safety Valve Stochastic Failure-to-Close Probabilities for the Purpose of Nuclear Reactor Severe Accident Analysis." In ASME/NRC 2017 13th Pump and Valve Symposium. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/pvs2017-3538.

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Recent consequences analyses of potential station blackout (SBO) accidents at nuclear power plants have shown that an important uncertainty in accident progression and radionuclide release is the probability that a safety valve (SV) will fail-to-close after it has opened to relieve pressure [1]. The U.S. Nuclear Regulatory Commission’s (NRC’s) State-of-the-Art Reactor Consequence Analyses (SOARCA) and associated uncertainty analyses for SBOs at a pressurized-water reactor (PWR) indicated that SV behavior is an important determinant of whether an induced steam-generator tube rupture (an undesirable bypass event) may develop [2], and an important determinant of whether a PWR with an ice condenser containment may experience an early containment failure [3]. Given the importance of SV failure-to-close probabilities in these accidents, available information was reviewed to help develop better estimates of the probability for a SV’s failure-to-close on demand. The SVs of interest in the SOARCA PWR analyses are the PWR code SVs, designated SVVs in a study of SVs published in 2007 (NUREG/CR-7037) [4]. There are two sets of failure probabilities reported in NUREG/CR-7037: failure probabilities based on behavior after reactor scrams i.e., after actual operating events, and failure probabilities based on tests. Information is included for both the secondary-side, main steam system (MSS) valves, as well as reactor coolant system (RCS) valves. The NUREG/CR-7037 failure probabilities based on actual operating events differ markedly from the failure probabilities based on tests. Further inquiries on valve testing and review of testing requirements show that the focus of testing is to demonstrate that the valves will open to relieve pressure during design-basis accidents to prevent overpressure events. The reseating or closing capability is not tested under severe accident conditions, in other words, the valve’s repeated full-stroking and passing steam. As such, the testing data was not considered applicable for severe accident modeling purposes. Furthermore, the assumption was made that MSS data was representative of RCS valve failures too during severe accident scenarios, as it is judged that they are similar enough in weighing the difference between the valves against the lack of operational data on the RCS SVs (only four data points, and one of two failures having a cause of failure now-defunct in the majority of operating PWRs in the U.S.). Lastly, recovered valve function, e.g., a previously stuck-open valve closing when pressure reduces, was not considered as a successful valve operation based on a review of licensee event reports. Paper published with permission.
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Shouxiang Wang and Sijia Chen. "Multi-period optimal operation with SVRs and SVCs in hybrid AC/DC distribution system." In 2014 International Conference on Power System Technology (POWERCON). IEEE, 2014. http://dx.doi.org/10.1109/powercon.2014.6993941.

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Shivaswamy, Pannagadatta K., and Tony Jebara. "Permutation invariant SVMs." In the 23rd international conference. ACM Press, 2006. http://dx.doi.org/10.1145/1143844.1143947.

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Bahmani, Bahador, Ming Yang, Anand Nagarajan, Philip L. Clarke, Soheil Soghrati, and Reza Abedi. "An Integrated Approach for Statistical Microscale Homogenization to Macroscopic Dynamic Fracture Analysis." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-88429.

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Maintaining material inhomogeneity and sample-to-sample variations is crucial in fracture analysis, particularly for quasibrittle materials. We use statistical volume elements (SVEs) to homogenize elastic and fracture properties of ZrB2-SiC, a two-phase composite often used for thermal coating. At the mesoscale, a 2D finite element mesh is generated from the microstructure using the Conforming to Interface Structured Adaptive Mesh Refinement (CISAMR), which is a non-iterative algorithm that tracks material interfaces and yields high-quality conforming meshes with adaptive operations. Analyzing the finite element results of the SVEs under three traction loadings, elastic and angle-dependent fracture strengths of SVEs are derived. The results demonstrate the statistical variation and the size effect behavior for elastic bulk modulus and fracture strengths. The homogenized fields are mapped to macroscopic material property fields that are used for fracture simulation of the reconstructed domain under a uniaxial tensile loading by the asynchronous Spacetime Discontinuous Galerkin (aSDG) method.
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Reports on the topic "SVNS"

1

Guo, Hui, and Huayan Zhong. Chinese Classifier Assignment Using SVMs. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada456489.

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Roberts, R. S., M. Zelinski, and J. Henderson. Discriminating Tailing Piles using VNIR Imagery and SVMs. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1573148.

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Gruetzmacher, Kathleen Mae. WM-SVS-TP-003, Rev. 0, effective date 10/15/2015, WM-SVS Characterization Services User-Performed Calibration (UPC) Program. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1423987.

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Bergendahl, Timothy J., Duane A. Souder, Anthony J. Apted, James L. Arnold Jr, Ronald J. Bottomly, and R. K. Britton. Final Evaluation Report Wang Laboratories, Incorporated, SVS/OS CAP 1.0. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada247238.

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Schaeuble, Marc-Andre. Ride-along Z data on LOS 70 (SVS) for university collaborators ZAPP19b shot z3404. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1763226.

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V. Jain, S. M. Barnes, B. G. Bindi, and R. A. Palmer. Scaled Vitrification System III (SVS III) Process Development and Laboratory Tests at the West Valley Demonstration Project. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/766176.

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Andrabi, Tahir, Natalie Bau, Jishnu Das, and Asim I. Khwaja. Heterogeneity in School Value-Added and the Private Premium. Research on Improving Systems of Education (RISE), 2022. http://dx.doi.org/10.35489/bsg-risewp_2022/116.

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Using rich panel data from Pakistan, we compute test score based measures of quality (School Value-Addeds or SVAs) for more than 800 schools across 112 villages and verify that they are valid and unbiased. With the SVA measures, we then document three striking features of the schooling environment. First, there is substantial within-village variation in quality. The annualized difference in learning between the best and worst performing school in the same village is 0.4 sd; compounded over 5 years of primary schooling, this difference is similar in size to the test score gap between low- and high-income countries. Second, students learn more in private schools (0.15 sd per year on average), but substantial within-sector variation in quality means that the effects of reallocating students from public to private schools can range from -0.35sd to +0.65sd. Thus, there is a range of possible causal estimates of the private premium, a feature of the environment we illustrate using three different identification approaches. Finally, parents appear to recognize and reward SVA in the private sector, but the link between parental demand and SVA is weaker in the public sector. These results have implications for both the measurement of the private premium and how we design and evaluate policies that reallocate children across schools, such as school closures and vouchers.
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Alwan, Iktimal, Dennis D. Spencer, and Rafeed Alkawadri. Comparison of Machine Learning Algorithms in Sensorimotor Functional Mapping. Progress in Neurobiology, 2023. http://dx.doi.org/10.60124/j.pneuro.2023.30.03.

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Objective: To compare the performance of popular machine learning algorithms (ML) in mapping the sensorimotor cortex (SM) and identifying the anterior lip of the central sulcus (CS). Methods: We evaluated support vector machines (SVMs), random forest (RF), decision trees (DT), single layer perceptron (SLP), and multilayer perceptron (MLP) against standard logistic regression (LR) to identify the SM cortex employing validated features from six-minute of NREM sleep icEEG data and applying standard common hyperparameters and 10-fold cross-validation. Each algorithm was tested using vetted features based on the statistical significance of classical univariate analysis (p&lt;0.05) and extended () 17 features representing power/coherence of different frequency bands, entropy, and interelectrode-based distance. The analysis was performed before and after weight adjustment for imbalanced data (w). Results: 7 subjects and 376 contacts were included. Before optimization, ML algorithms performed comparably employing conventional features (median CS accuracy: 0.89, IQR [0.88-0.9]). After optimization, neural networks outperformed others in means of accuracy (MLP: 0.86), the area under the curve (AUC) (SLPw, MLPw, MLP: 0.91), recall (SLPw: 0.82, MLPw: 0.81), precision (SLPw: 0.84), and F1-scores (SLPw: 0.82). SVM achieved the best specificity performance. Extending the number of features and adjusting the weights improved recall, precision, and F1-scores by 48.27%, 27.15%, and 39.15%, respectively, with gains or no significant losses in specificity and AUC across CS and Function (correlation r=0.71 between the two clinical scenarios in all performance metrics, p&lt;0.001). Interpretation: Computational passive sensorimotor mapping is feasible and reliable. Feature extension and weight adjustments improve the performance and counterbalance the accuracy paradox. Optimized neural networks outperform other ML algorithms even in binary classification tasks. The best-performing models and the MATLAB® routine employed in signal processing are available to the public at (Link 1).
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