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Journal articles on the topic 'Vee mapping'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Ekawati, Ekawati, Andi Maulana, Ahmad Ali, et al. "Inovasi Lembar Kerja Berbasis Vee Mapping Pada Pendidikan Biologi Abad 21." Jurnal Ilmiah Profesi Pendidikan 6, no. 1 (2021): 119–25. http://dx.doi.org/10.29303/jipp.v6i1.146.

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Pembelajaran abad 21 menuntut keterampilan berpikir tingkat tinggi meliputi 4Cs (critical thinking, communication, collaboration, and creativity) sehingga dibutuhkan inovasi pembelajaran salah satunya dengan inovasi LKPD. Tujuan penelitian adalah mengembangkan LKPD berbasis Vee Mapping pada materi sistem pernapasan yang valid dan praktis sebagai bentuk inovasi Pendidikan biologi. Penelitian ini menggunakan metode penelitian research and development dengan model pengembangan 4D. Produk yang dikembangkan pada penelitian ini berupa LKPD berbasis Vee Mapping pada materi sistem pernapasan dengan me

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Gideon, Bakari Henry, Fatima Mohammed Joda, and R. O. Ugwuadu. "CONCEPT MAPPING AND VEE MAPPING: INSTRUCTIONAL TOOLS FOR EFFECTIVE TEACHING OF BIOLOGY TOWARDS IMPROVING SENIOR SECONDARY SCHOOL STUDENTS' ACADEMIC ACHIEVEMENT AND ATTITUDE IN TARABA STATE NIGERIA." Vunoklang Multidisciplinary Journal of Science and Technology Education 11, no. 2 (2023): 321–30. https://doi.org/10.5281/zenodo.10414491.

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<em>The study investigated the effects of concept-mapping and vee-mapping instructional strategies on biology students’ academic achievement and attitude in senior secondary school in Taraba state, Nigeria. Two research questions and two hypotheses were formulated and tested at 0.05 level of significance. The study adopted quasi-experimental pretest, posttest and post-post test, non-equivalent, experimental and control groups. The population of the study consisted of 11,837 senior secondary schools in Taraba state. The sample comprised of 154 students in intact classes randomly assigned

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Osman, Kamisah, Wahidin Wahidin, and Subahan Mohd Meerah. "CONCEPT MAPPING IN CHEMISTRY LESSONS: TOOLS FOR INCULCATING THINKING SKILLS IN CHEMISTRY LEARNING." Journal of Baltic Science Education 12, no. 5 (2013): 666–81. http://dx.doi.org/10.33225/jbse/13.12.666.

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The aim of this study is to investigate the combination effect of concept mapping and vee diagrams as thinking tools in Chemistry among some 360 secondary students in Indonesia. This study employed a quasi-experimental approach whereby students were segregated into three intervention groups: concept mapping, vee diagram and thinking skills embedded throughout the lesson (E1), concept mapping (E2) and a conventional approach (E3). Students were also characterized in terms of their ability: High (H), Moderate (M) and Low (L). Students’ thinking skills were measured using a modified version of th

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Vanhear, Jacqueline, and Paul Pace. "Integrating Knowledge, Feelings and Action: Using Vee Heuristics and Concept Mapping in Education for Sustainable Development." Journal of Teacher Education for Sustainability 10, no. 1 (2008): 42–55. http://dx.doi.org/10.2478/v10099-009-0024-3.

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Integrating Knowledge, Feelings and Action: Using Vee Heuristics and Concept Mapping in Education for Sustainable DevelopmentAlthough children are regularly showered with environmental knowledge, this is rarely transformed into concerned action, probably because it is not meaningful for the learner and/or is highlighted at the expense of a personalized process of learning. Research in Education for Sustainable Development shows that besides knowledge acquisition feelings, psychological factors and active participation while learning are important determinants of commitment. Fostering an attitu

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Lehman, James D., Charlotte Carter, and Jane Butler Kahle. "Concept mapping, vee mapping, and achievement: Results of a field study with black high school students." Journal of Research in Science Teaching 22, no. 7 (1985): 663–73. http://dx.doi.org/10.1002/tea.3660220706.

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6

Kurniasih, S., and A. M. Irpan. "Diagram Vee and mind mapping application to develop conceptual understanding of plant reproduction." Journal of Physics: Conference Series 1157 (February 2019): 022079. http://dx.doi.org/10.1088/1742-6596/1157/2/022079.

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Bonilla-Aldana, D. Katterine, Christian David Bonilla Carvajal, Emilly Moreno-Ramos, Joshuan J. Barboza, and Alfonso J. Rodriguez-Morales. "Mapping Eastern (EEE) and Venezuelan Equine Encephalitides (VEE) among Equines Using Geographical Information Systems, Colombia, 2008–2019." Viruses 15, no. 3 (2023): 707. http://dx.doi.org/10.3390/v15030707.

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Introduction: Eastern equine encephalitis virus (EEEV) and Venezuelan equine encephalitis virus (VEEV) viruses are zoonotic pathogens affecting humans, particularly equines. These neuroarboviruses compromise the central nervous system and can be fatal in different hosts. Both have significantly influenced Colombia; however, few studies analyse its behaviour, and none develop maps using geographic information systems to characterise it. Objective: To describe the temporal-spatial distribution of those viruses in Colombia between 2008 and 2019. Methods: Retrospective cross-sectional descriptive

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8

Do Wook Kim. "A Study on the Effects of Gowin's Vee Mapping for Producing Process of Dalton's Atom Theory." School Science Journal 6, no. 1 (2012): 80–89. http://dx.doi.org/10.15737/ssj.6.1.201202.80.

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9

Okebukola, Peter Akinsola. "Attitude of teachers towards concept mapping and vee diagramming as metalearning tools in science and mathematics." Educational Research 34, no. 3 (1992): 201–13. http://dx.doi.org/10.1080/0013188920340304.

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10

Nikolaou, Eleftherios, and Vassilis Kostopoulos. "Vee-Tail Preliminary Design Methodology for Class I mini- UAV." Journal of Physics: Conference Series 2716, no. 1 (2024): 012062. http://dx.doi.org/10.1088/1742-6596/2716/1/012062.

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Abstract Unmanned Air Vehicles (UAVs) are becoming increasingly popular and widely used in a variety of industries. They can be used for tasks such as agriculture, construction, delivery, surveillance, rescue operations, mapping, wildlife tracking and many more. With the advancements in technology, UAVs are becoming more autonomous and able to perform tasks with minimal human intervention, so are widely used for military and law enforcement purposes. V-tail configurations are commonly used on UAVs due to their advantages in control and stability performance, as well as their ability to reduce

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Aristizábal, Luis M., Carlos A. Zuluaga, Santiago Rúa, and Rafael E. Vásquez. "Modular Hardware Architecture for the Development of Underwater Vehicles Based on Systems Engineering." Journal of Marine Science and Engineering 9, no. 5 (2021): 516. http://dx.doi.org/10.3390/jmse9050516.

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This paper addresses the development of a modular hardware architecture for the design/construction/operation of a remotely operated vehicle (ROV), based on systems engineering. The Vee model is first presented as a sequential process that emphasizes the validation processes with stakeholders and verification plans in the development and production stages of the ROV’s life cycle. The conceptual design process starts with the mapping of user requirements to engineering specifications, using the House of Quality (HoQ), a quality function deployment tool that allows executing a functional-divisio

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Shugailo, O. O. "Equiaffine immersions of codimension two with flat connection and one-dimensional Weingarten mapping." Matematychni Studii 60, no. 1 (2023): 99–112. http://dx.doi.org/10.30970/ms.60.1.99-112.

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In the paper we study equiaffine immersions $f\colon (M^n,\nabla) \rightarrow {\mathbb{R}}^{n+2}$ with flat connection $\nabla$ and one-dimensional Weingarten mapping. For such immersions there are two types of the transversal distribution equiaffine frame.We give a parametrization of a submanifold with the given properties for both types of equiaffine frame. The main result of the paper is contained in Theorems 1, 2 and Corollary 1: Let $f\colon ({M}^n,\nabla)\rightarrow({\mathbb{R}}^{n+2},D)$ be an affine immersion with pointwise codimension 2, equiaffine structure, flat connection $\nabla$,

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البادري, أحمد بن حميد. "فاعلية خريطة شكل سبعة المعرفي في تدريس العلوم على التحصيل الدراسي و اكتساب المهارات العملية اليدوية للطلبة بالصف الثامن من التعليم الأساسي = The Effective of the Cognitive Vee-Mapping in Teaching Sciences on the Academic Achievement and the Acquisition of Manual Practical Skills by Basic Education Eighth Class Pupils". دراسات عربية في التربية و علم النفس, № 69 (січень 2016): 15–38. http://dx.doi.org/10.12816/0022652.

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Ma, Peirong, and Xiao Hu. "A Variational Autoencoder with Deep Embedding Model for Generalized Zero-Shot Learning." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (2020): 11733–40. http://dx.doi.org/10.1609/aaai.v34i07.6844.

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Generalized zero-shot learning (GZSL) is a challenging task that aims to recognize not only unseen classes unavailable during training, but also seen classes used at training stage. It is achieved by transferring knowledge from seen classes to unseen classes via a shared semantic space (e.g. attribute space). Most existing GZSL methods usually learn a cross-modal mapping between the visual feature space and the semantic space. However, the mapping model learned only from the seen classes will produce an inherent bias when used in the unseen classes. In order to tackle such a problem, this pape

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Bonari, Gianmaria, Irena Axmanová, Gianluigi Bacchetta, et al. "Introducing Vegetation Ecology and Diversity (VED)." Vegetation Ecology and Diversity 62 (February 4, 2025): 1–3. https://doi.org/10.3897/ved.146670.

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The current issue is the first one of the journal <i>Vegetation Ecology and Diversity</i>, formerly <i>Plant Sociology</i>, the international peer-reviewed journal of the Italian Society of Vegetation Science (SISV). <i>Vegetation Ecology and Diversity</i> (VED) publishes original research articles covering all aspects of vegetation, ranging from plant communities to landscapes, including dynamic processes and community ecology. It prioritizes papers that emphasize plant community ecology and vegetation surveys to advance ecological models, interpret and classify vegetation, map ecosystems, as

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Ortega Adarme, M. X., P. J. Soto Vega, G. A. O. P. Costa, R. Q. Feitosa, and C. Heipke. "A DEBIASING VARIATIONAL AUTOENCODER FOR DEFORESTATION MAPPING." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-M-1-2023 (April 21, 2023): 217–23. http://dx.doi.org/10.5194/isprs-archives-xlviii-m-1-2023-217-2023.

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Abstract. Deep Learning (DL) algorithms provide numerous benefits in different applications, and they usually yield successful results in scenarios with enough labeled training data and similar class proportions. However, the labeling procedure is a cost and time-consuming task. Furthermore, numerous real-world classification problems present a high level of class imbalance, as the number of samples from the classes of interest differ significantly. In various cases, such conditions tend to promote the creation of biased systems, which negatively impact their performance. Designing unbiased sy

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Su, Bolin, Haozhong Wang, Xingyu Zhu, Penghua Song, and Xiaolei Li. "Efficient Prediction of Shallow-Water Acoustic Transmission Loss Using a Hybrid Variational Autoencoder–Flow Framework." Journal of Marine Science and Engineering 13, no. 7 (2025): 1325. https://doi.org/10.3390/jmse13071325.

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Efficient prediction of shallow-water acoustic transmission loss (TL) is crucial for underwater detection, recognition, and communication systems. Traditional physical modeling methods require repeated calculations for each new scenario in practical waveguide environments, leading to low computational efficiency. Deep learning approaches, based on data-driven principles, enable accurate input–output approximation and batch processing of large-scale datasets, significantly reducing computation time and cost. To establish a rapid prediction model mapping sound speed profiles (SSPs) to acoustic T

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Muxammadaliyeva, Yoqutxon Muzaffar qizi. "DJANGO FRAMEWORK PLANFORMASI BILAN TANISHISH VA UNING IMKONIYATLARI." ilm-fan 1, Special Issue 6 (2023): 373–77. https://doi.org/10.5281/zenodo.7937229.

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Django framework planformasi Python dasturlash tili uchun yaratilgan veb-dasturlash framework’idir. Django framework planformasi veb-dasturlarni tezkor va xavfsiz ishlab chiqishga yordam beradi. Django framework planformasi “Batteries included” falsafasini qo’llab-quvvatlaydi va veb-dasturlash uchun kerakli bo’lgan barcha funksiyalarni o’z ichiga oladi. Django framework planformasi MVT (Model View Template) dizayn shabloniga asoslanadi va ma’lumotlar bazasi bilan ishlash uchun Object Relational Mapping (ORM) usulini qo’llaydi.

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Horowitz, Benjamin, Max Dornfest, Zarija Lukić, and Peter Harrington. "hyphy: Deep Generative Conditional Posterior Mapping of Hydrodynamical Physics." Astrophysical Journal 941, no. 1 (2022): 42. http://dx.doi.org/10.3847/1538-4357/ac9ea7.

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Abstract Generating large-volume hydrodynamical simulations for cosmological observables is a computationally demanding task necessary for next-generation observations. In this work, we construct a novel fully convolutional variational autoencoder (VAE) to synthesize hydrodynamic fields conditioned on dark matter fields from N-body simulations. After training the model on a single hydrodynamical simulation, we are able to probabilistically map new dark-matter-only simulations to corresponding full hydrodynamical outputs. By sampling over the latent space of our VAE, we can generate posterior s

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Medbouhi, Aniss Aiman, Vladislav Polianskii, Anastasia Varava, and Danica Kragic. "InvMap and Witness Simplicial Variational Auto-Encoders." Machine Learning and Knowledge Extraction 5, no. 1 (2023): 199–236. http://dx.doi.org/10.3390/make5010014.

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Variational auto-encoders (VAEs) are deep generative models used for unsupervised learning, however their standard version is not topology-aware in practice since the data topology may not be taken into consideration. In this paper, we propose two different approaches with the aim to preserve the topological structure between the input space and the latent representation of a VAE. Firstly, we introduce InvMap-VAE as a way to turn any dimensionality reduction technique, given an embedding it produces, into a generative model within a VAE framework providing an inverse mapping into original spac

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Colebatch, James G. "Mapping the vestibular evoked myogenic potential (VEMP)." Journal of Vestibular Research 22, no. 1 (2012): 27–32. http://dx.doi.org/10.3233/ves-2011-0438.

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22

Niu, Zijian, Ke Yu, and Xiaofei Wu. "LSTM-Based VAE-GAN for Time-Series Anomaly Detection." Sensors 20, no. 13 (2020): 3738. http://dx.doi.org/10.3390/s20133738.

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Time series anomaly detection is widely used to monitor the equipment sates through the data collected in the form of time series. At present, the deep learning method based on generative adversarial networks (GAN) has emerged for time series anomaly detection. However, this method needs to find the best mapping from real-time space to the latent space at the anomaly detection stage, which brings new errors and takes a long time. In this paper, we propose a long short-term memory-based variational autoencoder generation adversarial networks (LSTM-based VAE-GAN) method for time series anomaly d

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Soyibo, Kola, and G. O. Esiobu. "Effects of Concept and Vee Mappings Under Three Learning Modes on Students' Attitudes Towards the Mappings, Learning Modes, Ecology and Genetics." Singapore Journal of Education 13, no. 2 (1993): 24–38. http://dx.doi.org/10.1080/02188799308547751.

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Abdi-Sargezeh, Bahman, Sepehr Shirani, Antonio Valentin, Gonzalo Alarcon, and Saeid Sanei. "EEG-to-EEG: Scalp-to-Intracranial EEG Translation Using a Combination of Variational Autoencoder and Generative Adversarial Networks." Sensors 25, no. 2 (2025): 494. https://doi.org/10.3390/s25020494.

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A generative adversarial network (GAN) makes it possible to map a data sample from one domain to another one. It has extensively been employed in image-to-image and text-to image translation. We propose an EEG-to-EEG translation model to map the scalp-mounted EEG (scEEG) sensor signals to intracranial EEG (iEEG) sensor signals recorded by foramen ovale sensors inserted into the brain. The model is based on a GAN structure in which a conditional GAN (cGAN) is combined with a variational autoencoder (VAE), named as VAE-cGAN. scEEG sensors are plagued by noise and suffer from low resolution. On t

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Blömeke, Sigrid, and Rolf Vegar Olsen. "På vei mot et sammenhengende nasjonalt kvalitetsvurderingssystem." Acta Didactica Norge 12, no. 4 (2018): 1. http://dx.doi.org/10.5617/adno.6278.

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Artikkelen presenterer de mest sentrale verktøyene for kvalitetsmonitorering som har blitt innført som en del av det «Nasjonale kvalitetsvurderingssystemet for grunnopplæringen» (de nasjonale prøvene, kartleggingsprøvene og elev-undersøkelsen), i all hovedsak ut fra et perspektiv om at dette er målinger som skal bidra med informasjon til skoler, skoleeiere og nasjonale beslutningstakere. Gjennom beskrivelsen legger vi et grunnlag for en drøfting av seks forhold som vi foreslår som spesielt viktige for å videreutvikle det nasjonale kvalitetsvurderingssystemet. Hovedkonklusjonen fra denne drøfti

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Wei, Y., J. P. Levesque, C. J. Hansen, M. E. Mauel, and G. A. Navratil. "A dimensionality reduction algorithm for mapping tokamak operational regimes using a variational autoencoder (VAE) neural network." Nuclear Fusion 61, no. 12 (2021): 126063. http://dx.doi.org/10.1088/1741-4326/ac3296.

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Abstract A variational autoencoder (VAE) is a type of unsupervised neural network which is able to learn meaningful data representations in a reduced dimensional space. We present an application of VAE in identifying the operational stability boundary of tokamak plasma discharges. This model was implemented using a dataset of over 3000 discharges from the high beta tokamak-extended pulse (HBT-EP) device. We found the VAE model to be capable of forming a continuous low-dimensional operational space map and identifying the operational boundaries using a specified warning time window. By projecti

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Karaca, Emel. "Non-null slant ruled surfaces and tangent bundle of pseudo-sphere." AIMS Mathematics 9, no. 8 (2024): 22842–58. http://dx.doi.org/10.3934/math.20241111.

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<p>A slant ruled surface is a unique type of ruled surface composed by Frenet vectors that form a constant angle with each other and with specific directions in space. In this paper, the non-null slant ruled surface, which is generated by the striction curve of the natural lift curve, was constructed with a novel approximation in $ E^{3}_{1} $. To establish the approximation, E. Study mapping was then applied to determine the relationship between pseudo-spheres and non-null slant ruled surfaces that are generated by the striction curves of the natural lift curves. Furthermore, $ \vec{\ba

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28

Soyibo, Kola. "Impacts of concept and vee mappings and three modes of class interaction on students’ performance in genetics." Educational Research 33, no. 2 (1991): 113–20. http://dx.doi.org/10.1080/0013188910330204.

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Qiu, Mingjie, Wenzhong Yang, Fuyuan Wei, and Mingliang Chen. "A Topic Modeling Based on Prompt Learning." Electronics 13, no. 16 (2024): 3212. http://dx.doi.org/10.3390/electronics13163212.

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Most of the existing topic models are based on the Latent Dirichlet Allocation (LDA) or the variational autoencoder (VAE), but these methods have inherent flaws. The a priori assumptions of LDA on documents may not match the actual distribution of the data, and VAE suffers from information loss during the mapping and reconstruction process, which tends to affect the effectiveness of topic modeling. To this end, we propose a Prompt Topic Model (PTM) utilizing prompt learning for topic modeling, which circumvents the structural limitations of LDA and VAE, thereby overcoming the deficiencies of t

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Bača, Martin, Andrea Semaničová-Feňovčíková, Tao-Ming Wang, and Guang-Hui Zhang. "On(a,1)-Vertex-Antimagic Edge Labeling of Regular Graphs." Journal of Applied Mathematics 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/320616.

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An(a,s)-vertex-antimagic edge labeling(or an(a,s)-VAElabeling, for short) ofGis a bijective mapping from the edge setE(G)of a graphGto the set of integers1,2,…,|E(G)|with the property that the vertex-weights form an arithmetic sequence starting fromaand having common differences, whereaandsare two positive integers, and the vertex-weight is the sum of the labels of all edges incident to the vertex. A graph is called(a,s)-antimagic if it admits an(a,s)-VAElabeling. In this paper, we investigate the existence of(a,1)-VAE labeling for disconnected 3-regular graphs. Also, we define and study a new

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Jin Dai, Jin Dai, and Zhifang Zheng Jin Dai. "Disentangling Representation of Variational Autoencoders Based on Cloud Models." 電腦學刊 34, no. 6 (2023): 001–14. http://dx.doi.org/10.53106/199115992023123406001.

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<p>Variational autoencoder (VAE) has the problem of uninterpretable data generation process, because the features contained in the VAE latent space are coupled with each other and no mapping from the latent space to the semantic space is established. However, most existing algorithms cannot understand the data distribution features in the latent space semantically. In this paper, we propose a cloud model-based method for disentangling semantic features in VAE latent space by adding support vector machines (SVM) to feature transformations of latent variables, and we propose to use the clo

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Berezovski, Volodymyr, Yevhen Cherevko, Josef Mikeš, and Lenka Rýparová. "Canonical Almost Geodesic Mappings of the First Type of Spaces with Affine Connections onto Generalized m-Ricci-Symmetric Spaces." Mathematics 9, no. 4 (2021): 437. http://dx.doi.org/10.3390/math9040437.

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In the paper we consider almost geodesic mappings of the first type of spaces with affine connections onto generalized 2-Ricci-symmetric spaces, generalized 3-Ricci-symmetric spaces, and generalized m-Ricci-symmetric spaces. In either case the main equations for the mappings are obtained as a closed system of linear differential equations of Cauchy type in the covariant derivatives. The obtained results extend an amount of research produced by N.S. Sinyukov, V.E. Berezovski, J. Mikeš.

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Esiobu, Gladys O., and Kola Soyibo. "Effects of concept and vee mappings under three learning modes on students' cognitive achievement in ecology and genetics." Journal of Research in Science Teaching 32, no. 9 (1995): 971–95. http://dx.doi.org/10.1002/tea.3660320908.

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Bremer, Meire C. D., Frederick S. Gimble, Jeremy Thorner, and Cassandra L. Smith. "VDE endonuclease cleavesSaccharomyces cerevisiaegenomic DNA at a single site: physical mapping of theVMA1gene." Nucleic Acids Research 20, no. 20 (1992): 5484. http://dx.doi.org/10.1093/nar/20.20.5484.

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Narasappa Kota, Prabhakar, Pravin Balaso Chopade, Bhagvat D Jadhav, Shriram Sadashiv Kulkarni, and Pravin Marotrao Ghate. "SIMULATED ANNEALING-SALP SWARM ALGORITHM BASED VARIATIONAL AUTOENCODER FOR PEAKTO-AVERAGE POWER RATIO REDUCTION." International journal of Computer Networks & Communications 17, no. 3 (2025): 23–38. https://doi.org/10.5121/ijcnc.2025.17302.

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Orthogonal Frequency Division Multiplexing (OFDM) have achieved significant advancements in spectral effectiveness and data rates within wireless communication systems. However, it is accompanied by a critical challenge: the high Peak-to-Average Power Ratio (PAPR). This issue demands attention and effective solutions to ensure optimum performance and reliability of OFDM-based systems. Currently, deep Learning (DL) algorithms perform well on end-to-end wireless communication systems. This study introduces a novel approach to PAPR reduction in OFDM systems by integrating a Simulated AnnealingSal

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Khairul Firdaus Mohd Talib, Hasnida Ab-Samat, Lai Hoong Cheng та Kin Sam Yen. "Modeling and Suppression of Inhomogeneous Intensity Edible Bird Nest Images for Impurity Segmentation Using β-Variational Autoencoder". Proceedings of Engineering and Technology Innovation 29 (5 лютого 2025): 11–25. https://doi.org/10.46604/peti.2024.13998.

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This study proposes a β-variational autoencoder (β-VAE) method to address intensity inhomogeneity (IIH) in edible bird’s nest (EBN) images, which creates an uneven intensity that obscures fine impurity details and reduces segmentation accuracy. First, the β-VAE is used to learn the feature distribution of EBN images by mapping them into a latent space. This latent space is then disentangled through selective filtering and penalization of specific latent dimensions. This unsupervised learning approach effectively captures and isolates IIH in EBN images. Additionally, enabling precise segmentati

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Tubiana, Jérôme, Simona Cocco, and Rémi Monasson. "Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins." Neural Computation 31, no. 8 (2019): 1671–717. http://dx.doi.org/10.1162/neco_a_01210.

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A restricted Boltzmann machine (RBM) is an unsupervised machine learning bipartite graphical model that jointly learns a probability distribution over data and extracts their relevant statistical features. RBMs were recently proposed for characterizing the patterns of coevolution between amino acids in protein sequences and for designing new sequences. Here, we study how the nature of the features learned by RBM changes with its defining parameters, such as the dimensionality of the representations (size of the hidden layer) and the sparsity of the features. We show that for adequate values of

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H, Sivalingan. "CLOUD-SMART SURVEILLANCE: ENHANCING ANOMALY DETECTION IN VIDEO STREAMS WITH DF-CONVLSTM-BASED VAE-GAN." Kufa Journal of Engineering 15, no. 4 (2024): 125–40. http://dx.doi.org/10.30572/2018/kje/150409.

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Anomaly detection in computer vision is crucial, and manual identification of irregularities in videos is resource-intensive. Autonomous systems are essential for efficiently analysing and detecting anomalies in diverse video datasets. Video surveillance relies heavily on anomaly detection for monitoring equipment states through time-series data. Presently, deep learning methods, particularly those based on Generative Adversarial Networks (GAN), have gained prominence in time-series anomaly detection. This paper proposes a novel solution: the double-flow convolutional Long Short-Term Memory (D

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Lu, Sangwei, Wenxiang Zhou, Jinquan Huang, and Bo Wang. "Research on a component characteristic adaptive correction method for variable cycle engines." International Journal of Turbo & Jet-Engines 40, no. 4 (2021): 399–410. http://dx.doi.org/10.1515/tjj-2021-0026.

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Abstract There is inevitably a performance deviation between an engine model and an actual engine that is influenced by unpredictable factors such as the unsuspected environmental conditions and the natural performance degradation in the process of use. Because the engine model precision largely depends on the accuracies of the component maps, it is possible to revise the engine model to determine a better trend for the engine performance from recorded measurements by adjusting the maps. This paper presents a new method for updating the variable geometry component maps of a variable cycle engi

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Shen-Ong, G. L., B. Lüscher, and R. N. Eisenman. "A second c-myb protein is translated from an alternatively spliced mRNA expressed from normal and 5'-disrupted myb loci." Molecular and Cellular Biology 9, no. 12 (1989): 5456–63. http://dx.doi.org/10.1128/mcb.9.12.5456-5463.1989.

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The major protein encoded by the c-myb oncogene in many species has been identified as an unstable, nuclear DNA-binding protein with an apparent molecular mass of 75 to 80 kilodaltons (p75c-myb). Recently, an alternatively spliced form of c-myb-encoded mRNA has been identified in murine cells containing either normal or rearranged c-myb genes. This mRNA includes a new exon, termed E6A, formed through use of cryptic splice sites located in the large intron between c-myb exons vE6 and vE7. E6A is predicted to contribute an internal 121-residue in-frame insertion into a region C terminal of the D

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Shen-Ong, G. L., B. Lüscher, and R. N. Eisenman. "A second c-myb protein is translated from an alternatively spliced mRNA expressed from normal and 5'-disrupted myb loci." Molecular and Cellular Biology 9, no. 12 (1989): 5456–63. http://dx.doi.org/10.1128/mcb.9.12.5456.

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The major protein encoded by the c-myb oncogene in many species has been identified as an unstable, nuclear DNA-binding protein with an apparent molecular mass of 75 to 80 kilodaltons (p75c-myb). Recently, an alternatively spliced form of c-myb-encoded mRNA has been identified in murine cells containing either normal or rearranged c-myb genes. This mRNA includes a new exon, termed E6A, formed through use of cryptic splice sites located in the large intron between c-myb exons vE6 and vE7. E6A is predicted to contribute an internal 121-residue in-frame insertion into a region C terminal of the D

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Ugwu, Okechukwu, and Kola Soyibo *. "The effects of concept and vee mappings under three learning modes on Jamaican eighth graders’ knowledge of nutrition and plant reproduction." Research in Science & Technological Education 22, no. 1 (2004): 41–58. http://dx.doi.org/10.1080/0263514042000187539.

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Thapa, Laxmi, Shrijana Panta, Sanjeev Kumar Raut, et al. "Multihazard Mapping of Banepa and Panauti Municipalities." Journal on Geoinformatics, Nepal 13 (March 13, 2017): 25–31. http://dx.doi.org/10.3126/njg.v13i0.16934.

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A combination of rough topography, steep slopes, active tectonic and seismic process and intense impact of monsoon rain has made the fragile environment of Nepal vulnerable to a variety of natural hazards. Most frequent hazards are floods, landslides, epidemics, fires, earthquake and other hydro-meteorological disasters, causing heavy loss of human lives as well as economic loss including housing and infrastructures (MDRIP, 2009). Hence, hazard assessments are the need of the hour. They help district and regional decision makers, policy makers and development agencies prepare disaster risk red

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Iatridou, Despoina, Ana Bravo, and Jimmy Saunders. "One Health Interdisciplinary Collaboration in Veterinary Education Establishments in Europe: Mapping Implementation and Reflecting on Promotion." Journal of Veterinary Medical Education 48, no. 4 (2021): 427–40. http://dx.doi.org/10.3138/jvme-2020-0019.

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One Health recognizes the interconnection of people, animals, and the environment and encourages a multidisciplinary approach. Several high-level European and global policy recommendations call for close intersectoral collaboration to better understand and manage health challenges faced today. Academic education has a fundamental role in preparing all health professionals in that respect. Our research investigates whether, and how, European Veterinary Education Establishments (VEEs) implement interdisciplinarity. We collected data on undergraduate education, post-graduate programs, and academi

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Ran, Pengyu, Xianghua Huang, Zihao Zhang, and Xuanzhang Hao. "Analytical Redundancy for Variable Cycle Engine Based on Variable-Weights-Biases Neural Network." Aerospace 10, no. 5 (2023): 419. http://dx.doi.org/10.3390/aerospace10050419.

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Due to the complex nature of a variable cycle engine (VCE), which has numerous control variables and working modes across a broad flight envelope, coupled with the whole engine’s degradation, the analytical redundancy method based on component-level models may not provide an accurate estimation of the sensors. Variable-weights-biases neural network (VWB Net) is proposed to construct VCE’s analytical redundancy. Unlike conventional networks whose weights and biases are fixed, VWB Net’s variable-weights and variable-biases are functions of input which greatly increase its nonlinear mapping capab

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Oñate, Angelo, Juan Pablo Sanhueza, Gleydis Dueña, et al. "Sigma Phase Stabilization by Nb Doping in a New High-Entropy Alloy in the FeCrMnNiCu System: A Study of Phase Prediction and Nanomechanical Response." Metals 14, no. 1 (2024): 74. http://dx.doi.org/10.3390/met14010074.

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The development of high-entropy alloys has been hampered by the challenge of effectively and verifiably predicting phases using predictive methods for functional design. This study validates remarkable phase prediction capability in complex multicomponent alloys by microstructurally predicting two novel high-entropy alloys in the FCC + BCC and FCC + BCC + IM systems using a novel analytical method based on valence electron concentration (VEC). The results are compared with machine learning, CALPHAD, and experimental data. The key findings highlight the high predictive accuracy of the analytica

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Rokstad, Anne Marie Mork, and Solfrid Vatne. "Dementia care mapping – en mulig metode for utvikling av demensomsorg i sykehjem." Nordisk tidsskrift for helseforskning 5, no. 2 (2009): 46. http://dx.doi.org/10.7557/14.239.

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<p>Artikkelen omhandler en studie av Dementia Care Mapping (DCM) anvendt i et norsk sykehjem. Hensikten med studien var &aring; unders&oslash;ke om det skjer et perspektivskifte i personalgruppen ved bruk av DCM-metoden, og om dette f&aring;r konsekvenser for praksis. I studien inngikk fokusgruppeintervju med personalet i sykehjemsavdelingen. Bakgrunnsopplysningene som sykepleierne reflekterte over, var kartlegging av trivsel og velv&aelig;re hos pasientene innsamlet gjennom DCM-metoden, og meldt tilbake til personalet. Personalet opplevde at tilbakemeldingene f&oslas

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Jahangiri, Arman, Youssef M. Zohdy, Ammar Khedder, et al. "152 Use of Stereotactic EEG (sEEG) Investigation in Patients Who Are Hemispherectomy Candidates." Neurosurgery 71, Supplement_1 (2025): 34. https://doi.org/10.1227/neu.0000000000003360_152.

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INTRODUCTION: Hemispherectomy is an important surgical technique for seizure control. METHODS: Between 2019 to 2023, 65 sEEGs, 11 functional hemispherectomy surgeries were carried out in the authors’ institution. All patients had at least a one-year follow up. Four patients who fulfilled the standard criteria for hemispherectomy underwent sEEG investigation. All four patients also underwent vEEG, MRI, functional MRI, PET, and neuropsychological studies. One patient underwent a MEG study. RESULTS: Patients’ age ranged from 10 to 16 years and epilepsy etiologies were related to neonatal middle c

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McCollum, Gin. "Spatial symmetry groups as sensorimotor guidelines." Journal of Vestibular Research 17, no. 5-6 (2008): 347–59. http://dx.doi.org/10.3233/ves-2007-175-614.

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While some aspects of neuroanatomical organization are related to packing and access rather than to function, other aspects of anatomical/physiological organization are directly related to function. The mathematics of symmetry groups can be used to determine logical structure in projections and to relate it to function. This paper reviews two studies of the symmetry groups of vestibular projections that are related to the spatial functions of the vestibular complex, including gaze, posture, and movement. These logical structures have been determined by finding symmetry groups of two vestibular

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Wang, Huaqing, Ye Li, Ye Jin, Shengkai Zhao, Changkun Han, and Liuyang Song. "Remaining Useful Life Prediction Method Enhanced by Data Augmentation and Similarity Fusion." Vibration 7, no. 2 (2024): 560–81. http://dx.doi.org/10.3390/vibration7020029.

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Precise prediction of the remaining useful life (RUL) of rolling bearings is crucial for ensuring the smooth functioning of machinery and minimizing maintenance costs. The time-domain features can reflect the degenerative state of the bearings and reduce the impact of random noise present in the original signal, which is often used for life prediction. However, obtaining ideal training data for RUL prediction is challenging. Thus, this paper presents a bearing RUL prediction method based on unsupervised learning sample augmentation, establishes a VAE-GAN model, and expands the time-domain feat

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