cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Generating synthetic photogrammetric data for training deep learning based 3D point cloud segmentation models
Creators: name: Chen, Meida
name: Feng, Andrew
name: McCullough, Kyle
name: Prasad, Pratusha Bhuvana
name: McAlinden, Ryan
name: Soibelman, Lucio
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: At I/ITSEC 2019, the authors presented a fully-automated workflow to segment 3D photogrammetric point-clouds/meshes and extract object information, including individual tree locations and ground materials (Chen et al., 2019). The ultimate goal is to create realistic virtual environments and provide the necessary information for simulation. We tested the generalizability of the previously proposed framework using a database created under the U.S. Army's One World Terrain (OWT) project with a variety of landscapes (i.e., various buildings styles, types of vegetation, and urban density) and different data qualities (i.e., flight altitudes and overlap between images). Although the database is considerably larger than existing databases, it remains unknown whether deep-learning algorithms have truly achieved their full potential in terms of accuracy, as sizable data sets for training and validation are currently lacking. Obtaining large annotated 3D point-cloud databases is time-consuming and labor-intensive, not only from a data annotation perspective in which the data must be manually labeled by well-trained personnel, but also from a raw data collection and processing perspective. Furthermore, it is generally difficult for segmentation models to differentiate objects, such as buildings and tree masses, and these types of scenarios do not always exist in the collected data set. Thus, the objective of this study is to investigate using synthetic photogrammetric data to substitute real-world data in training deep-learning algorithms. We have investigated methods for generating synthetic UAV-based photogrammetric data to provide a sufficiently sized database for training a deep-learning algorithm with the ability to enlarge the data size for scenarios in which deep-learning models have difficulties.
Fortune Youth Study on Drinking and Drinking Attitudes
Creators: name: Yankelovich, Skelly
Publisher: name: Roper Center for Public Opinion Research
Year: 2021

description: Most important problem (1); opinion on past political figures (14); agreement with presidential candidates (4); "sick society" (2); opinion on traditional American values (8); meaning of success (13); enjoy life (3); values of parent versus child (18); military draft resistance (1); civil disobedience (1); heckling and booing candidates (1); action of police at Chicago Democratic Convention (1); student riots at Columbia (1); "generation gap" (1); restraints imposed by society and its institutions (19); career plans (3); influence on career plans (8); future (1); business (16); science and technology (14); computerized instruction (1); automation (1); supersonic airplane (1); genetic control (1); country's efforts for black people (2); sending troops to Vietnam (1); attitudes toward Vietnam war (17); North Vietnamese peace negotiation (1); values worth fighting for (7); point of view (1); trouble with older generation (1); student wants (1); inabilities of individuals (1); best thing about country (1).
The random case of Conley's theorem
Creators: name: Liu, Zhenxin
Publisher: name: arXiv
Year: 2005
Subjects: subject: Dynamical Systems (math.DS)
subject: FOS: Mathematics
subject: 37H99; 11B37; 37B35; 37B20; 37B25

description: The well-known Conley's theorem states that the complement of chain recurrent set equals the union of all connecting orbits of the flow $ϕ$ on the compact metric space $X$, i.e. $X-\mathcal{CR}(ϕ)=\bigcup [B(A)-A]$, where $\mathcal{CR}(ϕ)$ denotes the chain recurrent set of $ϕ$, $A$ stands for an attractor and $B(A)$ is the basin determined by $A$. In this paper we show that by appropriately selecting the definition of random attractor, in fact we define a random local attractor to be the $ω$-limit set of some random pre-attractor surrounding it, and by considering appropriate measurability, in fact we also consider the universal $σ$-algebra $\mathcal F^u$-measurability besides $\mathcal F$-measurability, we are able to obtain the random case of Conley's theorem.
description: 15 pages
A AGROINDÚSTRIA DE ALIMENTOS DERIVADOS DE CACAU NO NORDESTE BRASILEIRO
Creators: name: Carneiro, Wendell Marcio Araujo
name: Brainer, Maria Simone De Castro Pereira
name: Santos, Jose Ailton Nogueira Dos
name: Souza, Gilzenor Satyro De
name: Silva, Carlos Enrique Gama E
name: Carneiro, Wendell Marcio Araujo
name: Brainer, Maria Simone De Castro Pereira
name: Santos, Jose Ailton Nogueira Dos
name: Souza, Gilzenor Satyro De
name: Silva, Carlos Enrique Gama E
Publisher: name: Unknown
Year: 2008
Subjects: subject: Agribusiness
subject: Crop Production/Industries
subject: Agroindústria
subject: Cacau
subject: Nordeste Brasileiro
subject: Agro-industry
subject: Cacao
subject: Brazilian Northeast

description: O objetivo deste artigo é caracterizar o setor agroindustrial de alimentos derivados de cacau no Nordeste Brasileiro. O trabalho foi desenvolvido com base na metodologia de pesquisa descritiva e explicativa, focado na identificação das características e nas inter-relações entre os elos dessa atividade econômica no Nordeste. A agroindústria de derivados de cacau no Nordeste tem se expandido e apresentado maior integração com as cadeias produtivas do setor rural. Porém, o fortalecimento do setor agroindustrial depende, ainda, do fornecimento de matérias-primas com qualidade e regularidade; estabelecimento, disseminação e fiscalização de controles de qualidade e de normas e padrões sanitários; profissionalização de dirigentes nas áreas administrativas e de agronegócios; qualificação da mão-de-obra; assistência técnica com qualidade; regulamentação da concorrência; simplificação de normas fitossanitárias; educação e conscientização de consumidores, além da elevação de renda da população.-------------------------------------------------------------------------------The objective of this article is to characterize the agro-industrial food sector derived of cacao from Brazilian Northeast. The work was developed on the basis of the characteristics and the Inter-relations between the links of this economic activity from northeast. The agro-industry of derivatives of cacao in the Northeast if has expanded and presented bigger integration with the productive chains of the agricultural sector. However, to fortify the agro-industrial sector depends, still, of the raw material supply with quality and regularity; establishment, dissemination and fiscalization of norm and quality control and sanitary standards; professionalization of controllers in the administrative areas and agribusiness; qualification of the worker; assistance technique with quality; regulation of the competition; simplification of fitossanitaries norms; education and awareness of consumers, beyond the rise of income of the population.
Mudancas cambiais e o efeito dos fatores de crescimento das receitas de exportacoes brasileiras de soja
Creators: name: Mucellini, Aline Beatriz
name: Bonjour, Sandra Cristina De Moura
name: Figueiredo, Adriano Marcos Rodrigues
name: Mucellini, Aline Beatriz
name: Bonjour, Sandra Cristina De Moura
name: Figueiredo, Adriano Marcos Rodrigues
Publisher: name: Unknown
Year: 2008
Subjects: subject: Crop Production/Industries
subject: Taxa de Câmbio. Shift-Share. Algodão
subject: Exchange Rate. Shift-Share. Cotton

description: A expansão da produção algodoeira no Brasil ocorrida no final da década de 90 fez com que o país deixasse de ser importador da pluma do algodão para a indústria, passando a exportar a malvácea, fazendo com que entrasse para o mercado internacional como um grande produtor. O presente artigo trata da expansão das receitas das exportações de algodão através da análise dos efeitos da taxa de câmbio, da quantidade exportada e do preço internacional do produto, no período de 1994 a 2006. A análise foi feita pelo método shift-share, através do qual se examina o efeito isolado de cada uma das variáveis estudadas sobre a receita do final do ano. Os resultados mostram que a quantidade exportada mostrou-se crescente por quase todo o período apesar da condição de baixa dos preços internacionais e as distintas políticas cambiais impostas pelo governo desde a implementação do Plano Real, em 1994, as quais se mostraram determinantes para a elevação das receitas e da quantidade exportada de algodão.------------------------------------------------------------------------------------The expansion of cotton production in Brazil occurred at the end of the decade of 90 has caused the country no longer be the feather importer of cotton for the industry, going to export the malvácea, making entry to the international market as a major producer. This article deals with the expansion of revenues from exports of cotton through the analysis of the effects of the exchange rate, the quantity exported in the international price of the product in the period from 1994 to 2006. The analysis was done by shift-share method, through which it examines the effect of each of the isolated variables on the revenue the end of the year. The results show that the quantity exported proved to be growing by almost the entire period despite the condition of low international prices and the different exchange rate policies imposed by the government since the implementation of the Real Plan in 1994, which were crucial for the elevation revenue and the quantity of exported cotton.
Proposal relative to an aeraulic thermosiphon able to generate electricity using the difference of temperatures between the ambient air and the surface sea water
Creators: name: Lindecker Patrick
Publisher: name: Zenodo
Year: 2021
Subjects: Electricity production
Renewable energy
Water - Atmosphere Thermal Energy Conversion

description: In this article, it is envisaged different possibilities to generate electric energy from the difference of temperatures between the ambient atmospheric air and the surface sea water, which is a renewable source of energy. Finally, it is proposed a machine based on an aeraulic thermosiphon, installed between the seashore and a high relief (300 m at least). This electric generation would be done without insoluble constraints on the refrigerant. Unfortunately, the cost of such machine is not competitive compared to a wind turbine, which prevents any commercial use. So, at least, it can be hoped that this paper will give news ideas to the readers, for a possible competitive machine.
Readme
Creators: name: Halder, Anup Kumar
name: Soumyendu Bandyopadhyay
name: Piyali Chatterjee
name: Nasipuri, Mita
name: Plewczyński, Dariusz
name: Basu, Subhadip
Publisher: name: figshare
Year: 2020
Subjects: subject: 80301 Bioinformatics Software
subject: FOS: Computer and information sciences
subject: 80705 Informetrics
subject: FOS: Media and communications

description: Over the years, several methods have been proposed for the computational PPI prediction with different performance evaluation strategies. These methods have limitations over different issues such as ill-treated cross-validation design, positive and negative sample selection strategies etc. To address these issues, we propose a multi-level feature based approach (JUPPI) using sequence, domain and GO information for PPI prediction, and an evaluation strategy that, 1) filters high quality negative data, and 2) introduces a pair-input based cross validation strategy with three difficulty levels for prediction of test sets. Our proposed evaluation strategy reduces the component-level overlapping issue in test sets. The proposed method has shown a strong confidence for PPI prediction in both test and train sets in strict categories of test sets. Performance of JUPPI is compared with state-of-the-art approaches and tested on six independent PPI datasets. In almost all the datasets, JUPPI outperforms the state-of-the-art not only at human proteome level for PPI prediction, but also for prediction of interactors for intrinsic disordered human proteins.
Dynamics of a droplet driven by an internal active device
Creators: name: Kree, Reiner
name: Rueckert, Leon
name: Zippelius, Annette
Publisher: name: arXiv
Year: 2020
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: A liquid droplet, immersed into a Newtonian fluid, can be propelled solely by internal flow. In a simple model, this flow is generated by a collection of point forces, which represent externally actuated devices or model autonomous swimmers. We work out the general framework to compute the self-propulsion of the droplet as a function of the actuating forces and their positions within the droplet. A single point force, F with general orientation and position, r_0, gives rise to both, translational and rotational motion of the droplet. We show that the translational mobility is anisotropic and the rotational mobility can be nonmonotonic as a function of | r_0|, depending on the viscosity contrast. Due to the linearity of the Stokes equation, superposition can be used to discuss more complex arrays of point forces. We analyse force dipoles, such as a stresslet, a simple model of a biflagellate swimmer and a rotlet, representing a helical swimmer, driven by an external magnetic field. For a general force distribution with arbitrary high multipole moments the propulsion properties of the droplet depend only on a few low order multipoles: up to the quadrupole for translational and up to a special octopole for rotational motion. The coupled motion of droplet and device is discussed for a few exemplary cases. We show in particular that a biflagellate swimmer, modeled as a stresslet, achieves a steady comoving state, where the position of the device relative to the droplet remains fixed. In fact there are two fixpoints, symmetric with respect to the center of the droplet. A tiny external force selects one of them and allows to switch between forward and backward motion.
description: arXiv admin note: text overlap with arXiv:1902.01159
Um Estudo sobre a Pobreza Rural com Abordagem Multivariada
Creators: name: Neder, Henrique Dantas
name: Neder, Henrique Dantas
Publisher: name: Unknown
Year: 2008
Subjects: subject: Food Security and Poverty
subject: pobreza rural
subject: desenvolvimento rural
subject: pobreza multivariada
subject: indicadores sociais
subject: rural poverty
subject: rural development
subject: multivariate poverty
subject: social indicators

description: É realizada a aplicação de uma metodologia para a construção de um índice de pobreza multivariada abrangendo um conjunto de variáveis que vão além do conceito de insuficiência de renda (considerado em medidas de pobreza unidimensionais), incluindo condições domiciliares, de saneamento, de mercado de trabalho e de educação. Comparam-se os resultados obtidos por esta metodologia e aqueles obtidos pela construção de um índice de pobreza unidimensional para os anos de 1995 e 2004, considerando-se as Unidades da Federação do Brasil. O principal aspecto relevante encontrado é que os indicadores de pobreza multivariada têm um ordenamento bastante distinto para as Unidades da Federação quando comparados com o ordenamento do indicador de pobreza baseado na insuficiência de renda, principalmente para o ano de 2004. Esta conclusão nos permite avaliar a elevada importância em continuar pesquisas neste tema, já que políticas públicas eficientes no combate a pobreza rural devem levar em conta todas as dimensões aqui tratadas.---------------------------------------------------------------------------------It held the application of a methodology for the construction of an poverty multivariate index covering a set of variables that go beyond the concept of insufficient income (considered in one-dimensional measures of poverty), including household conditions, sanitation, labor market insertion and education. We compare the results obtained by this method and those obtained by the construction of a one-dimensional poverty index for the years 1995 and 2004, considering the Federative Units of Brazil. The main issue is found that indicators of multivariate poverty have a very distinct ranking for Federative Units when compared with the ranking of the poverty indicator based on the income insufficiency, especially for 2004. This finding allows us to evaluate the high importance to continue research on this issue, since effective public policy in combating rural poverty must take into account all dimensions treated here.
Conditional Equi-concentration of Types
Creators: name: Grendar, Marian
Publisher: name: arXiv
Year: 2004
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics
subject: 60F05; 60F10

description: Conditional Equi-concentration of Types on I-projections is presented. It provides an extension of Conditional Weak Law of Large Numbers to the case of several I-projections. Also a multiple I-projections extension of Gibbs Conditioning Principle is developed. mu-projection variants of the probabilistic laws are stated. Implications of the results for Relative Entropy Maximization, Maximum Probability, Maximum Entropy in the Mean and Maximum Renyi-Tsallis Entropy methods are discussed.
description: Published in this form
Additional file 9 of Pregnancy outcomes and risk of placental malaria after artemisinin-based and quinine-based treatment for uncomplicated falciparum malaria in pregnancy: a WorldWide Antimalarial Resistance Network systematic review and individual patient data meta-analysis
Creators: name: Saito, Makoto
name: Mansoor, Rashid
name: Kalynn Kennon
name: Anupkumar R. Anvikar
name: Ashley, Elizabeth A.
name: Chandramohan, Daniel
name: Cohee, Lauren M.
name: D’Alessandro, Umberto
name: Genton, Blaise
name: Gilder, Mary Ellen
name: Juma, Elizabeth
name: Kalilani-Phiri, Linda
name: Kuepfer, Irene
name: Laufer, Miriam K.
name: Khin Maung Lwin
name: Meshnick, Steven R.
name: Mosha, Dominic
name: Muehlenbachs, Atis
name: Mwapasa, Victor
name: Mwebaza, Norah
name: Nambozi, Michael
name: Jean-Louis A. Ndiaye
name: Nosten, François
name: Myaing Nyunt
name: Bernhards Ogutu
name: Parikh, Sunil
name: Paw, Moo Kho
name: Aung Pyae Phyo
name: Mupawjay Pimanpanarak
name: Piola, Patrice
name: Rijken, Marcus J.
name: Kanlaya Sriprawat
name: Tagbor, Harry K.
name: Tarning, Joel
name: Halidou Tinto
name: Valéa, Innocent
name: Valecha, Neena
name: White, Nicholas J.
name: Jacher Wiladphaingern
name: Stepniewska, Kasia
name: McGready, Rose
name: Guérin, Philippe J.
Publisher: name: figshare
Year: 2020
Subjects: subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Biotechnology
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 9: Additional Table 2. Baseline characteristics of pregnant women assessed for moderate-to-late preterm birth.
Interview with Ruggero Lensi, UNI Director General, on the development of standards in BioReCer for the certifcation of biological resources
Creators: name: Schwarzenberger, Anke
name: Banduka, Dušica
name: Lensi, Ruggero
Publisher: name: Zenodo
Year: 2024
Subjects: certification
eco-labels
biobased
biowaste
biomass
bioeconomy
biorecer

description: The BioReCer interview series showcases the different work packages and tasks within the BioReCer project in its quest to develop guidelines and recommendations for the certification of biobased feedstocks. 

This episode introduces Ruggero Lenso from UNI, discussing the development of standards in BioReCer for the certifcation of biological resources.

BioReCer (Biological Resources Certifications Schemes) aims at assessing and complementing current certification schemes for biological resources according to the new EU sustainability goals to enhance bio-based circular systems.

This will be achieved by including new criteria that align with EU taxonomy and EU corporate due diligence regulations into guidelines for certifying biological resources’ sustainability, origin, tracking and traceability (T&T), and by ensuring applicability at EU and global scale.

By promoting the sustainability and trade of biological resources, BioReCer will increase the added value, use, as well as social acceptance of bio-based products.
Fish farming as a way for diversifying sources of income in the cocoa sector in Côte d'Ivoire
Creators: name: Kouadio, A.
name: Pepey, E.
name: Niamien, J.
name: Fertin, L.
name: Pouil, S.
name: Canonne, M.
name: Conéjéro, G.
name: Boussou, C.
Publisher: name: Zenodo
Year: 2023

description: Côte d'Ivoire is the largest producer of cocoa in the world, with production reaching 2 million tonnes in 2016-2017. The South- and Central-West regions are the main cocoa production areas in the country. However, cocoa production faces a significant crisis due to the instability of prices on world markets, land saturation, ageing plantations, and climate change. Cocoa farmers have adopted fish farming as an additional production to generate new incomes. The objective of our study was to provide the first description of cocoa production diversification practices in Côte d'Ivoire through targeted questionnaires. Surveys were conducted from May 2021 to September 2021 with cocoa farmers practising fish farming in two localities of Central-West: Bédiala (n = 21) and Sinfra (n = 12) and one in South-West: Méagui (n = 12). We used an empirical approach to highlight the farming practices. Our first results showed that all the cocoa farmers interviewed in Bédiala and 67% of the cocoa farmers in Sinfra practice fish-rice farming in which rice and tilapia (Oreochromis niloticus) are cultivated in the same ponds. In addition, the cocoa plantations in Bédiala (90%) and Sinfra (75%) are characterised by the association of cocoa and cashew for shading cocoa plants. Among the cocoa farmers interviewed in the South-West region, 50% of them practise fish-rice farming, with the monoculture of cocoa. With incomes ranging between 300 to 6000 kFCFA per year, fish farming has become the primary source of revenues for 30%, 40%, and 5% of cocoa farmers in Bédiala, Sinfra, and Méagui, respectively. In such agriculture-aquaculture integrated systems, most of the farmers use the periphery of the ponds in the dry season as cocoa nurseries, which allows the young crops to benefit from fertilised pond water collected by their roots. Such practices are likely to enhance crop growth while reducing the watering effort. In addition, fish ponds act as a natural barrier against bush fires. These results highlight the positive interactions that exist between cocoa and fish farming. Nevertheless, the consequences of using phytosanitary products in cacao production near fish ponds remain to be assessed for human consumers and surrounding environments. Based on a Strengths, Weaknesses, Opportunities, Threats (SWOT) analysis, we explore the possibilities that may be more promising for cocoa production diversification in Côte d'Ivoire.
Keywords: Aquaculture, cocoa farming, diversification
Utilização do Biodiesel como Forma de Reduzir a Emissão de CO2, e os Custos com Óleo Diesel
Creators: name: Rocha, Barbara Stella Oliveira
name: Carrilho, David Leite
name: Rocha, Barbara Stella Oliveira
name: Carrilho, David Leite
Publisher: name: Unknown
Year: 2008
Subjects: subject: Environmental Economics and Policy
subject: biodiesel
subject: transporte ferroviário
subject: redução de poluição
subject: Biodiesel
subject: rail transport
subject: reduction of pollution

description: Devido à evolução de carga transportada há um aumento do consumo de diesel do transporte ferroviário, e, portanto, existe uma preocupação em desenvolver mecanismo para amenizar o impacto ambiental causado pelo uso de combustíveis fósseis e redução do custo com o seu uso. O biodiesel vem sendo uma fonte de energia alternativa promissora, o qual propõe não só em reduzir os principais gases causadores do efeito estufa, como também em amenizar o alto custo com o consumo de óleo diesel. Dado a essa sua importante característica, o presente trabalho tem como objetivo de levantar, de forma sucinta, as tendências desse biocombustível no modo ferroviário, tendo como referencia de aplicabilidade e sucesso à Companhia do Vale do Rio Doce.--------------------------------------------------------------------------------------Due to carried load evolution there is an increase in the consumption of diesel rail transport, and, therefore, there is a concern to develop mechanism to alleviate the environmental impact caused by the use of fossil fuels and reducing the cost with its use. The biodiesel has been a source of energy promising alternative, which proposes not only to reduce the principal gases causing the greenhouse effect, as well as alleviate the high cost to the consumption of diesel oil. Given that its important feature, this paper has as objective of raising, briefly, trends in the way that biofuel rail, taking as reference of applicability and success of the Company Vale do Rio Doce.
Habitat suitability modeling from empirical data : application to mule deer in the interior of British Columbia
Creators: name: Simons, V. Brock
Publisher: name: University of British Columbia
Year: 2009

description: Habitat suitability modeling has both strengths and weaknesses as a land management tool. Its utility is highly dependent on the ecological interactions and spatial and temporal scales that are pertinent to land management concerns and the species of interest. To maximize the usefulness of mathematical habitat suitability models, it is important that they are constructed using all the reliable a priori information available, and selected using a method that consistently selects models of an appropriate level of complexity. Application is exemplified here to produce winter and summer habitat suitability models for mule deer (Odocoileus hemionus) in young, intensively managed lodgepole pine (Pinus contorta) stands in the interior of British Columbia. The building of all models likely to have good explanatory power was informed by a comprehensive literature review of mule deer habitat requirements. After models were built, multivariate correlations between predictor variables and the dependent variable of standardized pellet-group densities were analyzed to ensure that no strong and sensible relationships suggested by the data were left out of the model set. Akaike's Information Criterion (AIC) was used for model selection, as it is currently the best readily available model selection criterion when 'truth' is of near-infinite complexity. To improve robustness of inference and prediction error estimates, final models are produced as AIC weighted averages of the models most strongly supported by the data. Although models should ideally be validated using independent data, error was estimated here based on the same data used for model fitting.
Semantic Segmentation and Data Fusion of Microsoft Bing 3D Cities and Small UAV-based Photogrammetric Data
Creators: name: Chen, Meida
name: Feng, Andrew
name: McCullough, Kyle
name: Prasad, Pratusha Bhuvana
name: McAlinden, Ryan
name: Soibelman, Lucio
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: With state-of-the-art sensing and photogrammetric techniques, Microsoft Bing Maps team has created over 125 highly detailed 3D cities from 11 different countries that cover hundreds of thousands of square kilometer areas. The 3D city models were created using the photogrammetric technique with high-resolution images that were captured from aircraft-mounted cameras. Such a large 3D city database has caught the attention of the US Army for creating virtual simulation environments to support military operations. However, the 3D city models do not have semantic information such as buildings, vegetation, and ground and cannot allow sophisticated user-level and system-level interaction. At I/ITSEC 2019, the authors presented a fully automated data segmentation and object information extraction framework for creating simulation terrain using UAV-based photogrammetric data. This paper discusses the next steps in extending our designed data segmentation framework for segmenting 3D city data. In this study, the authors first investigated the strengths and limitations of the existing framework when applied to the Bing data. The main differences between UAV-based and aircraft-based photogrammetric data are highlighted. The data quality issues in the aircraft-based photogrammetric data, which can negatively affect the segmentation performance, are identified. Based on the findings, a workflow was designed specifically for segmenting Bing data while considering its characteristics. In addition, since the ultimate goal is to combine the use of both small unmanned aerial vehicle (UAV) collected data and the Bing data in a virtual simulation environment, data from these two sources needed to be aligned and registered together. To this end, the authors also proposed a data registration workflow that utilized the traditional iterative closest point (ICP) with the extracted semantic information.
Direct Observation of Non-Monotonic dx2-y2-Wave Superconducting Gap in Electron-Doped High-Tc Superconductor Pr0.89LaCe0.11CuO4
Creators: name: Matsui, H.
name: Terashima, K.
name: Sato, T.
name: Takahashi, T.
name: Fujita, M.
name: Yamada, K.
Publisher: name: arXiv
Year: 2004
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: We performed high-resolution angle-resolved photoemission spectroscopy on electron-doped high-Tc superconductor Pr0.89LaCe0.11CuO4 to study the anisotropy of the superconducting gap. The observed momentum dependence is basically consistent with the dx2-y2-wave symmetry, but obviously deviates from the monotonic dx2-y2 gap function. The maximum gap is observed not at the zone boundary, but at the hot spot where the antiferromagnetic spin fluctuation strongly couples to the electrons on the Fermi surface. The present experimental results unambiguously indicate the spin-mediated pairing mechanism in electron-doped high-Tc superconductors.
description: 4 pages, 4 figures
Understanding the Characteristics, Benefits and Challenges of Agile it Project Management: A Literature Based Perspective
Creators: name: Scott, Godfred Yawson
Publisher: name: Zenodo
Year: 2019

description: The objectives of this study was to bring out the understanding of the concept of agile IT project management; what it is and what it is not. It was also aimed at comparing the pros and cons of both agile and traditional methods of IT project management in a typical industry setting; the challenges of going purely agile, and so on. It is purely a review of literature of peer reviewed papers sourced mainly from Google Scholar. It was revealed that agile outweigh the traditional methods in terms of benefits, but its implementation poses a lot of challenges due to a number of issues, paramount among them being organizational culture and empowerment of the project team. This has resulted in a number of industries sticking to the traditional methods despite the overwhelming benefits of agile. In another school of thought, the combination of the two paradigms is the way forward.
CASOS SOBRE A RASTREABILIDADE BOVINA EM EMPRESAS RURAIS INFORMATIZADAS: IMPACTOS GERENCIAIS
Creators: name: Cocaro, Henri
name: Jesus, Jose Carlos Dos Santos
name: Cocaro, Henri
name: Jesus, Jose Carlos Dos Santos
Publisher: name: Unknown
Year: 2008
Subjects: subject: Agribusiness
subject: Livestock Production/Industries
subject: Sistemas de informações gerenciais
subject: impactos no gerenciamento
subject: tecnologias de informação
subject: rastreabilidade bovina
subject: Management information systems
subject: management impacts
subject: information technology
subject: bovine traceability

description: O presente trabalho foi realizado em quatro empresas rurais informatizadas que aderiram ao programa de rastreabilidade bovina brasileiro e teve como objetivo identificar quais mudanças gerenciais ocorreram nessas empresas. Após utilizar a metodologia de estudo de casos comparativo concluiu-se que a adesão à rastreabilidade provocou o surgimento de novos controles como o arquivamento do Documento de Identificação Animal, a documentação da compra, a utilização e a saída de insumos (nutricionais e sanitários), como também a documentação das movimentações dos animais. A rastreabilidade mudou o enfoque da comercialização para todas as empresas pesquisadas porque permitiu a elas penetrar ou manterem-se em um mercado ao qual antes tinham pouco ou nenhum acesso.-----------------------------------------------------------------------------------The present paper was accomplished in four rural computerized companies that adhered to the brazilian program of bovine traceability and it had as objective to identify which management changes happened in those companies. After using the comparative case study methodology it was ended that the adhesion to the traceability provoked the appearance of new controls as the filing of the Animal Identification Document, the documentation of the purchase, the use and the exit of inputs (nutritional and sanitariums), as well as the documentation of the movements of the animals. The traceability changed the focus of the commercialization of all researched companies because allowed them to penetrate or maintain at a market to which they had little or none access.
A expansão do Programa Bolsa Família e as implicações sobre consumo e preços de alimentos: o caso de Viçosa/MG
Creators: name: Rodrigues, Cristiana Tristao
name: Gomes, Adriano Provezano
name: Dias, Roberto Serpa
name: Rodrigues, Cristiana Tristao
name: Gomes, Adriano Provezano
name: Dias, Roberto Serpa
Publisher: name: Unknown
Year: 2008
Subjects: subject: Food Consumption/Nutrition/Food Safety
subject: Programa Bolsa Família
subject: Consumo Alimentar
subject: Inflação de Alimentos
subject: Family Grant Program
subject: Alimentary Consumption
subject: Inflation of Foods

description: Programas de transferência de renda como o Bolsa Família (PBF) podem exercer pressão sobre a demanda interna de alimentos. Este fato merece atenção, principalmente, diante do cenário internacional de alta inflacionária para o grupo alimentação, registrado no ano de 2007, e a tendência de continuidade para 2008. Diante disso, o presente estudo teve como objetivo analisar os possíveis impactos da expansão do (PBF) sobre o consumo e preço de alimentos. Os resultados revelaram uma alta ERD para a alimentação no domicílio, bem como para alguns itens que compõem este subgrupo. O resultado mostrou-se preocupante, pois justamente os produtos de maior ERD, ou seja, que terão um maior incremento em seu dispêndio a partir de um aumento da renda, são os que têm apresentando alta inflacionária, como é o caso principalmente do leite e seus derivados. Por fim, procurou-se destacar o fato de que a inflação terá impacto diferenciado nas diferentes classes de renda. Portanto, uma alta inflacionária merece atenção dos formuladores de políticas públicas, já que esta tende a recair principalmente sobre as famílias de baixa renda.------------------------------------------Programs of transfer of income as the Family Grant Program (PBF) it can press the internal demand of foods. This fact deserves attention, mainly, before the international scenery of high inflationary for the group alimentation, registered the year of 2007, and the continuity tendency for 2008. Before that, the present study had as objective analyzes the possible impacts of the expansion of the (PBF) on the consumption and price of foods. The results revealed a high ERD, for the feeding in the home, as well as for some items that compose this subgroup. The result was preoccupying, because exactly products with high elasticity-income, in other words, that have a larger increment in expenditure starting from an increase of the income, has also been presenting price elevation, as it is the case mainly of the milk and yours derived. Finally, it sought to detach the fact that the inflation will have impact differentiated in the different classes of income. Therefore, an high inflationary deserves attention of the creator of public politics, since this tends to relapse mainly on the families of low income.
Generalized Derivations on Modules
Creators: name: Abbaspour, Gh.
name: Moslehian, M. S.
name: Niknam, A.
Publisher: name: arXiv
Year: 2005
Subjects: subject: Functional Analysis (math.FA)
subject: Operator Algebras (math.OA)
subject: FOS: Mathematics
subject: 46H25, 46L57

description: Let $A$ be a Banach algebra and $M$ be a Banach right $A$-module. A linear map $δ: M\to M$ is called a generalized derivation if there exists a derivation $d : A \to A$ such that $$δ(xa)=δ(x)a + x d(a) \quad (a \in A, x \in M).$$ In this paper, we associate a triangular Banach algebra ${\mathcal T}$ to Banach $A$-module $M$ and investigate the relation between generalized derivations on $M$ and derivations on ${\mathcal T}$. In particular, we prove that the so-called generalized first cohomology group of $M$ is isomorphic to the first cohomology group of ${\mathcal T}$.
description: 11 pages, minor changes, to appear in Bull. Iran. Math. Soc
Transformações na agricultura brasileira: uma abordagem espacial dos Censos Agropecuários de 1996 e 2006
Creators: name: Alcantara Filho, José Luiz
name: Scalco, Paulo Roberto
name: Gomes, Adriano Provezano
name: Alcantara Filho, José Luiz
name: Scalco, Paulo Roberto
name: Gomes, Adriano Provezano
Publisher: name: Unknown
Year: 2008
Subjects: subject: Agribusiness
subject: agricultura
subject: econometria espacial
subject: fatores de produção
subject: agriculture
subject: spatial econometric
subject: production factors

description: O presente trabalho teve como objetivo analisar a dinâmica da agricultura brasileira, a partir dos dados preliminares do Censo agropecuário de 2006 em relação ao Censo de 1996. Para tanto, utilizou-se a metodologia de econometria espacial, mais especificamente análise exploratória de dados espaciais (AEDE) para verificar a formação de clusters espaciais, bem como, as mudanças ocorridas no período analisado. Em suma, verificou-se a existência de dependência espacial entre as microrregiões analisadas, assim, regiões que em 1996 eram intensivas na utilização de terra, trabalho e tratores, em 2006 tenderam a permanecer com as mesmas características, além de influenciar positivamente suas regiões vizinhas. Além disso, verificou-se um relação inversa entre o número de trabalhadores com laços de parentescos e as variáveis área utilizada e tratores, destacando assim, um processo de aumento de utilização de áreas com uso intensivo de capital (tratores) e mão de obra contratada.------------------------------------------------------------------------------The present work had as objective to analyze the dynamics of Brazilian agriculture, from the preliminary data of the farming Census of 2006 in relation to the Census of 1996. For in such a way, it was used methodology of spatial econometric, more specifically exploratory analysis of space data (AEDE) to verify the formation of space clusters, as well as, the occurred changes in the analyzed period. In short, it was verified existence of space dependence between the analyzed microregions, thus, regions that in 1996 were intensive in the use of land, work and tractors, in 2006 had tended to remain with the same characteristics, besides influencing positively its neighboring regions. Moreover, an inverse relation was verified enters the number of workers with bows of kinships and the variable used area and tractors, thus detaching, a process of increase of use of areas with intensive use of capital (tractor) and hand of contracted workmanship.
Electromagnetic N->Delta transition and neutron form factors
Creators: name: Buchmann, A. J.
Publisher: name: arXiv
Year: 2004
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: The C2/M1 ratio of the electromagnetic N->Delta(1232) transition, which is important for determining the geometric shape of the nucleon, is shown to be related to the neutron elastic form factor ratio G_C^n/G_M^n. The proposed relation holds with good accuracy for the entire range of momentum transfers where data are available.
description: 4 pages, 2 figures
Devolutionary genetic algorithms with application to the minimum labeling Steiner tree problem
Creators: name: Dehouche, Nassim
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optimization and Control (math.OC)
subject: Artificial Intelligence (cs.AI)
subject: Neural and Evolutionary Computing (cs.NE)
subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences
subject: G.2.2; G.4

description: This paper characterizes and discusses devolutionary genetic algorithms and evaluates their performances in solving the minimum labeling Steiner tree (MLST) problem. We define devolutionary algorithms as the process of reaching a feasible solution by devolving a population of super-optimal unfeasible solutions over time. We claim that distinguishing them from the widely used evolutionary algorithms is relevant. The most important distinction lies in the fact that in the former type of processes, the value function decreases over successive generation of solutions, thus providing a natural stopping condition for the computation process. We show how classical evolutionary concepts, such as crossing, mutation and fitness can be adapted to aim at reaching an optimal or close-to-optimal solution among the first generations of feasible solutions. We additionally introduce a novel integer linear programming formulation of the MLST problem and a valid constraint used for speeding up the devolutionary process. Finally, we conduct an experiment comparing the performances of devolutionary algorithms to those of state of the art approaches used for solving randomly generated instances of the MLST problem. Results of this experiment support the use of devolutionary algorithms for the MLST problem and their development for other NP-hard combinatorial optimization problems.
Kohn Anomalies and Electron-Phonon Interaction in Graphite
Creators: name: Piscanec, S.
name: Lazzeri, M.
name: Mauri, F.
name: Ferrari, A. C.
name: Robertson, J.
Publisher: name: arXiv
Year: 2004
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We demonstrate that graphite phonon dispersions have two Kohn anomalies at the Gamma-E_2g and K-A'1 modes. The anomalies are revealed by two sharp kinks. By an exact analytic derivation, we show that the slope of these kinks is proportional to the square of the electron-phonon coupling (EPC). Thus, we can directly measure the EPC from the experimental dispersions. The Gamma-E_2g and K-A'1 EPCs are particularly large, whilst they are negligible for all the other modes at Gamma and K.
description: 4 pages, 2 figures
Schrödinger PCA: On the Duality between Principal Component Analysis and Schrödinger Equation
Creators: name: Liu, Ziming
name: Qian, Sitian
name: Wang, Yixuan
name: Yan, Yuxuan
name: Yang, Tianyi
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computational Physics (physics.comp-ph)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Machine Learning (cs.LG)
subject: Probability (math.PR)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: Principal component analysis (PCA) has achieved great success in unsupervised learning by identifying covariance correlations among features. If the data collection fails to capture the covariance information, PCA will not be able to discover meaningful modes. In particular, PCA will fail the spatial Gaussian Process (GP) model in the undersampling regime, i.e. the averaged distance of neighboring anchor points (spatial features) is greater than the correlation length of GP. Counterintuitively, by drawing the connection between PCA and Schrödinger equation, we can not only attack the undersampling challenge but also compute in an efficient and decoupled way with the proposed algorithm called Schrödinger PCA. Our algorithm only requires variances of features and estimated correlation length as input, constructs the corresponding Schrödinger equation, and solves it to obtain the energy eigenstates, which coincide with principal components. We will also establish the connection of our algorithm to the model reduction techniques in the partial differential equation (PDE) community, where the steady-state Schrödinger operator is identified as a second-order approximation to the covariance function. Numerical experiments are implemented to testify the validity and efficiency of the proposed algorithm, showing its potential for unsupervised learning tasks on general graphs and manifolds.
description: 16 pages
Additional file 7 of Pregnancy outcomes and risk of placental malaria after artemisinin-based and quinine-based treatment for uncomplicated falciparum malaria in pregnancy: a WorldWide Antimalarial Resistance Network systematic review and individual patient data meta-analysis
Creators: name: Saito, Makoto
name: Mansoor, Rashid
name: Kalynn Kennon
name: Anupkumar R. Anvikar
name: Ashley, Elizabeth A.
name: Chandramohan, Daniel
name: Cohee, Lauren M.
name: D’Alessandro, Umberto
name: Genton, Blaise
name: Gilder, Mary Ellen
name: Juma, Elizabeth
name: Kalilani-Phiri, Linda
name: Kuepfer, Irene
name: Laufer, Miriam K.
name: Khin Maung Lwin
name: Meshnick, Steven R.
name: Mosha, Dominic
name: Muehlenbachs, Atis
name: Mwapasa, Victor
name: Mwebaza, Norah
name: Nambozi, Michael
name: Jean-Louis A. Ndiaye
name: Nosten, François
name: Myaing Nyunt
name: Bernhards Ogutu
name: Parikh, Sunil
name: Paw, Moo Kho
name: Aung Pyae Phyo
name: Mupawjay Pimanpanarak
name: Piola, Patrice
name: Rijken, Marcus J.
name: Kanlaya Sriprawat
name: Tagbor, Harry K.
name: Tarning, Joel
name: Halidou Tinto
name: Valéa, Innocent
name: Valecha, Neena
name: White, Nicholas J.
name: Jacher Wiladphaingern
name: Stepniewska, Kasia
name: McGready, Rose
name: Guérin, Philippe J.
Publisher: name: figshare
Year: 2020
Subjects: subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Biotechnology
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 7: Additional Figure 4. Forest plot of the proportion of small-for-gestational-age for each study site.