cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Metrology for Inductive Charging of Electric Vehicles (MICEV)
Creators: name: Zucca, M.
name: Bottauscio, O.
name: Harmon, S.
name: Guilizzoni, R.
name: Schilling, F.
name: Schmidt, M.
name: Ankarson, P.
name: Bergsten, T.
name: Tammi, K.
name: Sainio, P.
name: Romero, J. B.
name: Puyal, E. L.
name: Pichon, L.
name: Freschi, F.
name: Cirimele, V.
name: Bauer, P.
name: Dong, J.
name: Maffucci, A.
name: Ventre, S.
name: Femia, N.
name: Di Capua, G.
name: Kuster, N.
name: Liorni, I.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: The European Union funded project MICEV aims at improving the traceability of electrical and magnetic measurement at charging stations and to better assess the safety of this technology with respect to human exposure. The paper describes some limits of the instrumentation used for electrical measurements in the charging stations, and briefly presents two new calibration facilities for magnetic field meters and electric power meters. Modeling approaches for the efficiency and human exposure assessment are proposed. In the latter case, electromagnetic computational codes have been combined with dosimetric computational codes making use of highly detailed human anatomical phantoms in order to establish human exposure modeling real charging stations. Detailed results are presented for light vehicles where, according to our calculations, the concern towards human exposure is limited. Currently, the project has reached half way point (about 18 months) and will end in August 2020.
description: 2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive, 2-4 July 2019, Torino (Italy)
Eastern Promise? Race, Innovation and Inequality in the Creative Industries-Driven Regeneration of East London
Creators: name: Nava, Orson
Publisher: name: University of East London
Year: 2019

description: In post-industrial knowledge-based economies like the UK’s, the creative industries are becoming major drivers of urban transformation. However, while this process could potentially be leading to greater diversity and democratisation, industry reports by the Creative Industries Federation, Creative Skillset, the British Film Institute and Directors UK show black, Asian and minority ethnic representation in key sectors of the creative industries has actually decreased. In this context East London’s growing number of creative-industries hubs run the risk of re-inscribing existing patterns of racial exclusion onto the urban topography and becoming monoethnic enclaves in an otherwise superdiverse urban setting. This has implications for both racial justice and civic cohesion, and also for creativity and success in an industry where innovation is often based on the hybridisation of cultural forms.As part of my research project I have produced a one-hour documentary entitled Multicology? that examines the work practices of individual BAME (black, Asian and ethnic minority) creative workers based in East London. The film is accompanied by a sixty-nine thousand-word dissertation. In the film and the thesis, I deploy analytical paradigms drawn from the study of the creative industries (Hesmondhalgh 2007, Saha 20017), urban sociology (Sibley 1995, Keith 2005, Cohen 2013), postcolonial cultural studies (Hall 1990, Malik 2008) and urban design (Anderson 2009, Thibaud 2012). I utilise this interdisciplinary approach to examine the processes through which racialised inequality in the creative industries can become spatialised in an urban context, and the strategies BAME creative producers use to navigate those forms of exclusion. In my research I argue that the cultural regeneration process is largely structured by discourses of institutional diversity (Malik 2008) that have historically failed to deliver greater levels of inclusion in the sphere of cultural production. In this context I point to the need for multicultural creative ecologies, what I term ‘multicologies’, where BAME practitioners from complementary sectors of the creative industries can be spatially concentrated. These multicultural creative hubs and networks would operate to challenge existing forms of racialised inequality in the urban creative industries, and support BAME creative practitioners working in East London.
Continuous Abstraction of Nonlinear Systems using Sum-of-Squares Programming
Creators: name: Smith, Stanley W.
name: Yin, He
name: Arcak, Murat
Publisher: name: arXiv
Year: 2019
Subjects: subject: Optimization and Control (math.OC)
subject: FOS: Mathematics

description: We present a control design procedure for nonlinear control systems in which we represent a potentially high dimensional system with a low dimensional continuous-state abstraction. The abstraction generates a reference which the original system follows with a low level controller. We propose sum-of-squares programming as a tool to design this controller and to provide an upper bound on the relative error between the system and its abstraction. We compute the low level controller simultaneously with a simulation function that gives the boundedness guarantee for the relative error.
description: 6 pages, 4 figures, accepted to IEEE CDC 2019
Additional file 1 of Baseline factors identified for the prediction of good responders in patients with end-stage diffuse coronary artery disease undergoing intracoronary CD34+ cell therapy
Creators: name: Sung, Pei-Hsun
name: Chiang, Hsin-Ju
name: Li, Yi-Chen
name: Chiang, John Y.
name: Chu, Chi-Hsiang
name: Shao, Pei-Lin
name: Lee, Fan-Yen
name: Lee, Mel S.
name: Yip, Hon-Kan
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Cell Biology
subject: Pharmacology
subject: Immunology
subject: FOS: Clinical medicine

description: Additional file 1 : Table S1. Angiogenesis, biomarkers, and cell migration function before and after stem cell therapy.
Boundary Green's function approach for spinful single-channel and multichannel Majorana nanowires
Creators: name: Alvarado, M.
name: Iks, A.
name: Zazunov, A.
name: Egger, R.
name: Yeyati, A. Levy
Publisher: name: arXiv
Year: 2019
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: The boundary Green's function (bGF) approach has been established as a powerful theoretical technique for computing the transport properties of tunnel-coupled hybrid nanowire devices. Such nanowires may exhibit topologically nontrivial superconducting phases with Majorana bound states at their boundaries. We introduce a general method for computing the bGF of spinful multi-channel lattice models for such Majorana nanowires, where the bGF is expressed in terms of the roots of a secular polynomial evaluated in complex momentum space. In many cases, those roots, and thus the bGF, can be accurately described by simple analytical expressions, while otherwise our approach allows for the numerically efficient evaluation of bGFs. We show that from the behavior of the roots, many physical quantities of key interest can be inferred, e.g., the value of bulk topological invariants, the energy dependence of the local density of states, or the spatial decay of subgap excitations. We apply the method to single- and two-channel nanowires of symmetry class D or DIII. In addition, we study the spectral properties of multi-terminal Josephson junctions made out of such Majorana nanowires.
description: 16 pages, 11 figures
Fabrication of BaZrS3 chalcogenide perovskite thin films for optoelectronics
Creators: name: Wei, Xiucheng
name: Hui, Haolei
name: Zhao, Chuan
name: Deng, Chenhua
name: Han, Mengjiao
name: Yu, Zhonghai
name: Sheng, Aaron
name: Roy, Pinku
name: Chen, Aiping
name: Lin, Junhao
name: Watson, David F.
name: Sun, Yiyang
name: Thomay, Tim
name: Yang, Sen
name: Jia, Quanxi
name: Zhang, Shengbai
name: Zeng, Hao
Publisher: name: arXiv
Year: 2019
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Other Condensed Matter (cond-mat.other)
subject: FOS: Physical sciences

description: BaZrS3 is a prototypical chalcogenide perovskite, an emerging class of unconventional semiconductor. Recent results on powder samples reveal that it is a material with a direct band gap of 1.7-1.8 eV, a very strong light-matter interaction, and a high chemical stability. However, many of the fundamental properties are unknown, hindering the ability to apply BaZrS3 for optoelectronics. Here we report the fabrication of BaZrS3 thin films, by sulfurization of oxide films deposited by pulsed laser deposition. We show that these films are n-type with carrier densities in the range of 10^19-10^20 cm^-3. Depending on the processing temperature, the Hall mobility ranges from 2.1 to 13.7 cm^2/Vs. The absorption coefficient is > 10^5 cm-1 at photon energy > 1.97 eV. Temperature dependent conductivity measurements suggest shallow donor levels. These results assure that BaZrS3 is a promising candidate for optoelectronics such as photodetectors, photovoltaics, and light emitting diodes.
Cultroribula bicultrata
Creators: name: Murvanidze, Maka
name: Cilbircioğlu, Cihan
name: Özdemir, Esengül
name: Inak, Emre
Publisher: name: Zenodo
Year: 2020
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Sarcoptiformes
Astegistidae
Cultroribula
Cultroribula bicultrata

description: Cultroribula bicultrata (Berlese, 1905)
 Material – One specimen in Taşköprü forest, Karadedeoğlu Village, N 41° 23′ 08.05′′, E 34° 25′ 07.52′′, alt. = 1126 m, 24 July 2018, tree bark and debris of P. Nigra; one specimen in Çamkonak Forest Processing Area, Daday forest. N 41° 23′ 55.18′′, E 33° 13′ 09.44′′, alt. = 1136 m, 30 May 2018, tree bark and debris of P. nigra.
 Previous record in Turkey – Kocaeli (Baran and Merve 2019; Yaça and Baran 2019).
 Global distribution – Holarctic.
 Ecology – Forest soils.
description: Published as part of Murvanidze, Maka, Cilbircioğlu, Cihan, Özdemir, Esengül & Inak, Emre, 2020, Checklist of oribatid mites (Acari: Oribatida) of the Central Black Sea basin of Turkey with new records for the country, pp. 255-277 in Persian Journal of Acarology 9 (3) on page 260, DOI: 10.22073/pja.v9i3.61909, http://zenodo.org/record/5236444
The nature of the absorbing torus in compact Radio Galaxies
Creators: name: Risaliti, G.
name: Woltjer, L.
name: Salvati, M.
Publisher: name: arXiv
Year: 2003
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We present BeppoSAX observations of the two radio galaxies PKS 1934-63 and S5 1946+708. Strong Iron Kalpha lines are detected in both objects indicating that the two sources are absorbed by column densities higher than 10^24 cm^(-2). Combining radio continuum, HI absorption and X-ray data we can constrain the physical state and the dimensions of the absorber. We find that the putative obscuring torus is molecular and located at a distance higher than 20 pc from the center in S5 1946+70. In PKS 1934-63 no radio nucleus has been observed. If this is due to free-free absorption a radius of only a few pc is inferred. Since the Kalpha lines have been detected only at 90% confidence, we also discuss the implications if they would be not as strong as found from our data. From our results it appears that the combination of hard X-ray data and spatially resolved HI absorption measurements provides a powerful diagnostic for conditions in the absorbing ``torus''.
description: 8 pages, 5 figures, accepted for publication in Astronomy & Astrophysics
Handling Imbalanced Classes: Feature Based Variance Ranking Techniques for Classification
Creators: name: Ebenuwa, Solomon
Publisher: name: University of East London
Year: 2019

description: To obtain good predictions in the presence of imbalance classes has posed significant challenges in the data science community. Imbalanced classed data is a term used to describe a situation where there are unequal number of classes or groups in datasets. In most real-life datasets one of the classes are always higher in number than others and is called the majority class, while the smaller classes are called the minority class. During classifications even with very high accuracy, the classified minority groups are usually very small when compared to the total number of minority in the datasets and more often than not, the minority classes are what is being sought. This work is specifically concern with providing techniques to improve classifications performance by eliminating or reducing negative effects of class imbalance. Real-life datasets have been found to contain different types of error in combination with class imbalance. While these errors are easily corrected, but the solutions to class imbalance have remained elusive. Previously, machine learning (ML) technique has been used to solve the problems of class imbalanced. There are notable shortcomings that have been identified while using this technique. Mostly, it involve fine-tuning and changing parameters of the algorithms and this process is not standardised because of countless numbers of algorithms and parameters. In general, the results obtained from these unstandardised (ML) technique are very inconsistent and cannot be replicated with similar datasets and algorithms. We present a novel technique for dealing with imbalanced classes called variance ranking features selection, that enables machine learning algorithms to classify more of minority classes during classification, hence reducing the negative effects of class imbalance. Our approaches utilised the intrinsic property of the datasets called the variance. As the variance is one of the measures of central tendency of the data items concentration within the datasets vector space. We demonstrated the selections of features at different level of performance threshold thereby providing an opportunity for performance and feature significance to be assessed and correlated at different levels of prediction. In the evaluations we compared our features selections with some of the best known features selections techniques using proximity distance comparison techniques and verify all the results with different datasets, both binary and multi classed with varying degree of class imbalance. In all the experiments, the results we obtained showed a significant improvement when compared with other previous work in class imbalance.
UN and AU for the Manuscript " Debating the Identity and Indigeneity of the Batwa in Post-Genocide Rwanda: A Review of the Challenges and Prospects from a Human Rights Perspective"
Creators: name: Kathleen A, Anangwe
name: Oriare, Nyarwath
name: Jack, Mwimali
name: Charles, Kabwete
Publisher: name: figshare
Year: 2022
Subjects: subject: 210201 Archival, Repository and Related Studies
subject: FOS: Media and communications

description: These data consists of UN Charter and Treaties as well as AU reports on the Batwa Rwanda published from 2000 to 2021. They provide a controversial views about the identity and indigenous status of the Batwa from human rights perspective
Additional file 17 of Validation and test–retest repeatability performance of parametric methods for [11C]UCB-J PET
Creators: name: Tuncel, Hayel
name: Boellaard, Ronald
name: Coomans, Emma M.
name: Hollander-Meeuwsen, Marijke den
name: de Vries, Erik F. J.
name: Glaudemans, Andor W. J. M.
name: Feltes, Paula Kopschina
name: García, David Vállez
name: Verfaillie, Sander C. J.
name: Wolters, Emma E.
name: Sweeney, Steven P.
name: Ryan, J. Michael
name: Ivarsson, Magnus
name: Lynch, Berkley A.
name: Schober, Patrick
name: Scheltens, Philip
name: Schuit, Robert C.
name: Windhorst, Albert D.
name: De Deyn, Peter P.
name: van Berckel, Bart N. M.
name: Golla, Sandeep S. V.
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified

description: Additional file 17. TRT (%) values estimated for specific brain regions (grey matter) are presented for SRTM2 BPND and R1.
Interplay of quantum magnetic and potential scattering around Zn or Ni impurity ions in superconducting cuprates
Creators: name: Zhang, Guang-Ming
name: Hu, Hui
name: Yu, Lu
Publisher: name: arXiv
Year: 2002
Subjects: subject: Condensed Matter (cond-mat)
subject: FOS: Physical sciences

description: To describe the scattering of superconducting quasiparticles from non-magnetic (Zn) or magnetic (Ni) impurities in optimally doped high T$_c$ cuprates, we propose an effective Anderson model Hamiltonian of a localized electron hybridizing with $d_{x^2-y^2}$-wave BCS type superconducting quasiparticles with an attractive scalar potential at the impurity site. Due to the strong local antiferromagnetic couplings between the original Cu ions and their nearest neighbors, the localized electron in the Ni-doped materials is assumed to be on the impurity sites, while in the Zn-doped materials the localized electron is distributed over the four nearest neighbor sites of the impurities with a dominant $d_{x^2-y^2}$ symmetric form of the wave function. With Ni impurities, two resonant states are formed above the Fermi level in the local density of states at the impurity site, while for Zn impurities a sharp resonant peak below the Fermi level dominates in the local density of states at the Zn site, accompanied by a small and broad resonant state above the Fermi level mainly induced by the potential scattering. In both cases, there are no Kondo screening effects. The local density of states and their spatial distribution at the dominant resonant energy around the substituted impurities are calculated for both cases, and they are in good agreement with the experimental results of scanning tunneling microscopy in Bi$_2$Sr$_2$CaCu$_2$O$_{8+δ}$ with Zn or Ni impurities, respectively.
description: 24 pages, Revtex, 8 figures, submitted to Physical Review B for publication. Sub-ject Class: Superconductivity; Strongly Correlated Electrons
Predictive Modelling of Retail Banking Transactions for Credit Scoring, Cross-Selling and Payment Pattern Discovery
Creators: name: Harrach, Hakim
Publisher: name: University of East London
Year: 2019

description: Evaluating transactional payment behaviour offers a competitive advantage in the modern payment ecosystem, not only for confirming the presence of good credit applicants or unlocking the cross-selling potential between the respective product and service portfolios of financial institutions, but also to rule out bad credit applicants precisely in transactional payments streams. In a diagnostic test for analysing the payment behaviour, I have used a hybrid approach comprising a combination of supervised and unsupervised learning algorithms to discover behavioural patterns. Supervised learning algorithms can compute a range of credit scores and cross-sell candidates, although the applied methods only discover limited behavioural patterns across the payment streams. Moreover, the performance of the applied supervised learning algorithms varies across the different data models and their optimisation is inversely related to the pre-processed dataset. Subsequently, the research experiments conducted suggest that the Two-Class Decision Forest is an effective algorithm to determine both the cross-sell candidates and creditworthiness of their customers. In addition, a deep-learning model using neural network has been considered with a meaningful interpretation of future payment behaviour through categorised payment transactions, in particular by providing additional deep insights through graph-based visualisations. However, the research shows that unsupervised learning algorithms play a central role in evaluating the transactional payment behaviour of customers to discover associations using market basket analysis based on previous payment transactions, finding the frequent transactions categories, and developing interesting rules when each transaction category is performed on the same payment stream. Current research also reveals that the transactional payment behaviour analysis is multifaceted in the financial industry for assessing the diagnostic ability of promotion candidates and classifying bad credit applicants from among the entire customer base. The developed predictive models can also be commonly used to estimate the credit risk of any credit applicant based on his/her transactional payment behaviour profile, combined with deep insights from the categorised payment transactions analysis. The research study provides a full review of the performance characteristic results from different developed data models. Thus, the demonstrated data science approach is a possible proof of how machine learning models can be turned into cost-sensitive data models.
Adoristes (Adoristes) ovatus
Creators: name: Murvanidze, Maka
name: Cilbircioğlu, Cihan
name: Özdemir, Esengül
name: Inak, Emre
Publisher: name: Zenodo
Year: 2020
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Sarcoptiformes
Liacaridae
Adoristes
Adoristes ovatus

description: Adoristes (Adoristes) ovatus (C.L. Koch, 1839)
 Material – One specimen in Çiftlik Village Tekçam Area, Taşköprü forest, N 41° 14′ 39.56′′, E 34° 12′ 19.57′′, alt. = 1422 m, 15 May 2018, tree bark and debris of P. nigra.
 Previous record in Turkey – Erzurum (Akman et al. 2018).
 Global distribution – Holarctic.
 Ecology – All types of soils with preference of forest habitats.
description: Published as part of Murvanidze, Maka, Cilbircioğlu, Cihan, Özdemir, Esengül & Inak, Emre, 2020, Checklist of oribatid mites (Acari: Oribatida) of the Central Black Sea basin of Turkey with new records for the country, pp. 255-277 in Persian Journal of Acarology 9 (3) on page 260, DOI: 10.22073/pja.v9i3.61909, http://zenodo.org/record/5236444
Metric-affine Geometries With Spherical Symmetry
Creators: name: Hohmann, Manuel
Publisher: name: arXiv
Year: 2019
Subjects: subject: Mathematical Physics (math-ph)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We provide a comprehensive overview of metric-affine geometries with spherical symmetry, which may be used in order to solve the field equations for generic gravity theories which employ these geometries as their field variables. We discuss the most general class of such geometries, which we display both in the metric-Palatini formulation and in the tetrad / spin connection formulation, and show its characteristic properties: torsion, curvature and nonmetricity. We then use these properties to derive a classification of all possible subclasses of spherically symmetric metric-affine geometries, depending on which of the aforementioned quantities are vanishing or non-vanishing. We discuss both the cases of the pure rotation group $\mathrm{SO}(3)$, which has been previously studied in the literature, and extend these previous results to the full orthogonal group $\mathrm{O}(3)$, which also includes reflections. As an example for a potential physical application of the results we present here, we study circular orbits arising from autoparallel motion. Finally, we mention how these results can be extended to cosmological symmetry.
description: LaTeX, 25 pages, no figures; published version
Reduced symmetry of heterointerfaces and orientational pinning of quantum Hall stripe phase
Creators: name: Takhtamirov, E. E.
name: Volkov, V. A.
Publisher: name: arXiv
Year: 2001
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: In a 2D electron system in (001) GaAs/AlGaAs upon filling high Landau levels, it was recently observed a new class of collective states, which are recognized now to relate to the spontaneous formation of a charge density wave (``stripe phase''). Here we analyze one of the possible mechanisms of the stripe pinning along the crystallographic direction [110]--the native effective mass anisotropy of 2D electrons. It is shown that for a symmetric quantum well this anisotropy is a linear function of applied perpendicular-to-plane electric field. So, if it is the anisotropy that defines the direction of the stripes, the critical in-plane magnetic field, when the stripes rotate, will strongly depend on the bias. The proper experiment will answer the question whether the native anisotropy of the effective mass is the mechanism of the pinning.
description: submitted to EP2DS-14, 6 pages in LaTeX
Efficient Estimation of Risk Attitude with Seminonparametric Risk Modeling
Creators: name: Wu, Feng
name: Guan, Zhengfei
name: Wu, Feng
name: Guan, Zhengfei
Publisher: name: Unknown
Year: 2014
Subjects: subject: Production Economics
subject: Risk and Uncertainty
subject: Risk Preferences
subject: GMM
subject: Simulations
subject: Seminonparametric Estimator
subject: Estimation Efficiency

description: Recent development in production risk analyses has raised questions on the conventional approaches to estimating risk preferences. This study proposes to identify the risk separately from input equations with a seminonparametric estimator. The approach circumvents the issue of arbitrary risk specifications. Meanwhile, it facilitates analytical derivation of input equations. The GMM estimation method is then applied to input equations to estimate risk preferences. The procedure is validated by a Monte Carlo experiment. Simulation results show that the proposed method provides a consistent estimator and significantly improves estimation efficiency.
Деловой Берген встречает Билла Клинтона. Семинар Билла Клинтона для лидеров бизнеса 22 мая 2007 г
Creators: name: Petrov, Alexander
Publisher: name: figshare
Year: 2019
Subjects: subject: 150308 International Business
subject: FOS: Economics and business
subject: 160607 International Relations
subject: FOS: Political science
subject: 200206 Globalisation and Culture
subject: FOS: Other humanities
subject: 200103 International and Development Communication
subject: FOS: Media and communications

description: Landsmann / Соотечественник №6 июнь 2007 г. Bergen, Norway
Large Scale Landmark Recognition via Deep Metric Learning
Creators: name: Boiarov, Andrei
name: Tyantov, Eduard
Publisher: name: arXiv
Year: 2019
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: Image and Video Processing (eess.IV)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This paper presents a novel approach for landmark recognition in images that we've successfully deployed at Mail ru. This method enables us to recognize famous places, buildings, monuments, and other landmarks in user photos. The main challenge lies in the fact that it's very complicated to give a precise definition of what is and what is not a landmark. Some buildings, statues and natural objects are landmarks; others are not. There's also no database with a fairly large number of landmarks to train a recognition model. A key feature of using landmark recognition in a production environment is that the number of photos containing landmarks is extremely small. This is why the model should have a very low false positive rate as well as high recognition accuracy. We propose a metric learning-based approach that successfully deals with existing challenges and efficiently handles a large number of landmarks. Our method uses a deep neural network and requires a single pass inference that makes it fast to use in production. We also describe an algorithm for cleaning landmarks database which is essential for training a metric learning model. We provide an in-depth description of basic components of our method like neural network architecture, the learning strategy, and the features of our metric learning approach. We show the results of proposed solutions in tests that emulate the distribution of photos with and without landmarks from a user collection. We compare our method with others during these tests. The described system has been deployed as a part of a photo recognition solution at Cloud Mail ru, which is the photo sharing and storage service at Mail ru Group.
description: Accepted at CIKM 2019
Forecasts and Adaptation
Creators: name: Shrader, Jeffrey
name: Shrader, Jeffrey
Publisher: name: Unknown
Year: 2014
Subjects: subject: Environmental Economics and Policy
subject: Research and Development/Tech Change/Emerging Technologies
subject: Research Methods/ Statistical Methods
subject: Risk and Uncertainty
subject: Adaptation
subject: Climate
subject: Fisheries
subject: Forecasts

description: For many environmental problems, economics adaptation will likely be the primary means by which potential damages are avoided. How and by how much humans adapt to environmental risks, therefore, is a question of paramount importance. This paper uses a novel dataset documenting the introduction of forecasts of an important, global driver of climate variation—El Nino/Southern Oscillation (ENSO)—to derive the first well identified estimates of total adaptation in a climate exposed industry. The primary results indicate that for the setting under consideration, risks from ENSO events can be almost entirely mitigated given 3 months of advance warning. This adaptation comes from a combination of daily and annual actions. In sum, the results point both to the ability for individuals in some settings to mitigate their own environmental risks given high quality information.
Additional file 2 of Baseline factors identified for the prediction of good responders in patients with end-stage diffuse coronary artery disease undergoing intracoronary CD34+ cell therapy
Creators: name: Sung, Pei-Hsun
name: Chiang, Hsin-Ju
name: Li, Yi-Chen
name: Chiang, John Y.
name: Chu, Chi-Hsiang
name: Shao, Pei-Lin
name: Lee, Fan-Yen
name: Lee, Mel S.
name: Yip, Hon-Kan
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Cell Biology
subject: Pharmacology
subject: Immunology
subject: FOS: Clinical medicine

description: Additional file 2 : Table S2. Variables of interest compared between smokers versus non-smokers.
The Evolution of Community Development in the United States
Creators: name: Dobis, Elizabeth A.
name: Delgado, Michael S.
name: Florax, Raymond
name: Dobis, Elizabeth A.
name: Delgado, Michael S.
name: Florax, Raymond
Publisher: name: Unknown
Year: 2014
Subjects: subject: Community/Rural/Urban Development
subject: urban growth
subject: city size
subject: incorporated places
subject: city location

description: Previous work on the growth and location of communities has analyzed only one aspect of community growth at a time, either the location, growth, or birth of settlements. We use these three descriptive aspects of settlements to create a story that addresses when communities were created, where communities are located, and how communities grow in the United States. We study the spatial and temporal development of settlements in the United States by utilizing regression techniques to model the relationship between environmental features and settlement age, geographical location, and size. The poster illustrates the evolution of rural land to communities and how the structure of the American urban system has developed over the last two centuries.
Compressive Sensing with Low-Power Transfer and Accurate Reconstruction of EEG Signals
Creators: name: Dey, Manika Rani
Publisher: name: University of East London
Year: 2019

description: Tele-monitoring of EEG in WBAN is essential as EEG is the most powerful physiological parameters to diagnose any neurological disorder. Generally, EEG signal needs to record for longer periods which results in a large volume of data leading to huge storage and communication bandwidth requirements in WBAN. Moreover, WBAN sensor nodes are battery operated which consumes lots of energy. The aim of this research is, therefore, low power transmission of EEG signal over WBAN and its accurate reconstruction at the receiver to enable continuous online-monitoring of EEG and real time feedback to the patients from the medical experts. To reduce data rate and consequently reduce power consumption, compressive sensing (CS) may be employed prior to transmission. Nonetheless, for EEG signals, the accuracy of reconstruction of the signal with CS depends on a suitable dictionary in which the signal is sparse. As the EEG signal is not sparse in either time or frequency domain, identifying an appropriate dictionary is paramount. There are a plethora of choices for the dictionary to be used. Wavelet bases are of interest due to the availability of associated systems and methods. However, the attributes of wavelet bases that can lead to good quality of reconstruction are not well understood. For the first time in this study, it is demonstrated that in selecting wavelet dictionaries, the incoherence with the sensing matrix and the number of vanishing moments of the dictionary should be considered at the same time. In this research, a framework is proposed for the selection of an appropriate wavelet dictionary for EEG signal which is used in tandem with sparse binary matrix (SBM) as the sensing matrix and ST-SBL method as the reconstruction algorithm. Beylkin (highly incoherent with SBM and relatively high number of vanishing moments) is identified as the best dictionary to be used amongst the dictionaries are evaluated in this thesis. The power requirements for the proposed framework are also quantified using a power model. The outcomes will assist to realize the computational complexity and online implementation requirements of CS for transmitting EEG in WBAN. The proposed approach facilitates the energy savings budget well into the microwatts range, ensuring a significant savings of battery life and overall system’s power. The study is intended to create a strong base for the use of EEG in the high-accuracy and low-power based biomedical applications in WBAN.
Two-body correlations in Bose condensates
Creators: name: Sorensen, O.
name: Fedorov, D. V.
name: Jensen, A. S.
name: Nielsen, E.
Publisher: name: arXiv
Year: 2001
Subjects: subject: Condensed Matter (cond-mat)
subject: FOS: Physical sciences

description: We formulate a method to study two-body correlations in a condensate of N identical bosons. We use the adiabatic hyperspheric approach and assume a Faddeev like decomposition of the wave function. We derive for a fixed hyperradius an integro-differential equation for the angular eigenvalue and wave function. We discuss properties of the solutions and illustrate with numerical results. The interaction energy is for N~20 five times smaller than that of the Gross-Pitaevskii equation.
The Bioeconomy in economic literature: looking back, looking ahead
Creators: name: Viaggi, Davide
name: Bartolini, Fabio
name: Raggi, Meri
name: Viaggi, Davide
name: Bartolini, Fabio
name: Raggi, Meri
Publisher: name: Unknown
Year: 2021
Subjects: subject: Agricultural and Food Policy
subject: Bioeconomy
subject: sustainable development
subject: bio-based economy
subject: circular economy
subject: ecosystem services

description: The objective of this paper is to provide a review of recent economic literature related to the Bioeconomy, in particular aimed at identifying relevant pathways for future research in this field. The paper is organised in four main parts. First, we illustrate the economic role of the Bioeconomy and its key statistics in the EU. Second we review economic topics related to the Bioeconomy production in a mainly private (company, consumer, market) perspective. Then we extend our attention to the review of wider social and environmental aspects with a focus on ecosystem services. Finally, we discuss the interplay of the above topics and cross cutting issues in the attempt to identify the most promising pathways for further research. While the economic literature is growing fast in all the fields of the Bioeconomy, we highlight in particular the need of more economic research focusing on transitions and innovation. However, we also highlight the need to take a system perspective and accounting explicitly for the trade-offs among the many objectives that the Bioeconomy is expected to target and to better account of the costs and benefits affecting different stakeholder groups.
description: BAE 10th Anniversary paper Discussants: Paolo Sckokai, Gianluca Brunori
Manipulation Planning and Control for Shelf Replenishment
Creators: name: Costanzo, Marco
name: Stelter, Simon
name: Natale, Ciro
name: Pirozzi, Salvatore
name: Bartels, Georg
name: Maldonado, Alexis
name: Beetz, Michael
Publisher: name: arXiv
Year: 2019
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Manipulation planning and control are relevant building blocks of a robotic system and their tight integration is a key factor to improve robot autonomy and allows robots to perform manipulation tasks of increasing complexity, such as those needed in the in-store logistics domain. Supermarkets contain a large variety of objects to be placed on the shelf layers with specific constraints, doing this with a robot is a challenge and requires a high dexterity. However, an integration of reactive grasping control and motion planning can allow robots to perform such tasks even with grippers with limited dexterity. The main contribution of the paper is a novel method for planning manipulation tasks to be executed using a reactive control layer that provides more control modalities, i.e., slipping avoidance and controlled sliding. Experiments with a new force/tactile sensor equipping the gripper of a mobile manipulator show that the approach allows the robot to successfully perform manipulation tasks unfeasible with a standard fixed grasp.
description: 8 pages, 12 figures, accepted at RAL
Liacarus (Liacarus) brevilamellatus Mihelcic 1955
Creators: name: Murvanidze, Maka
name: Cilbircioğlu, Cihan
name: Özdemir, Esengül
name: Inak, Emre
Publisher: name: Zenodo
Year: 2020
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Sarcoptiformes
Liacaridae
Liacarus
Liacarus brevilamellatus

description: Liacarus (Liacarus) brevilamellatus Mihelčič, 1955
 Material – One specimen in Çamkonak Forest Processing Area, Daday forest, N 41° 23′ 25.96′′, E 33° 13′ 58.20′′, alt. = 1271 m, 19 October 2018, dead P. nigra; one specimen in Saraycık Forest Processing Area, Taşköprü Forest, N 41° 22′ 51.20′′, E 34° 32′ 18.21′′, alt. = 1128 m, 15 July 2018, tree bark and debris of P. nigra.
 Previous records in Turkey – Erzurum (Ocak et al. 2007), Kocaeli (Yaça and Baran 2019).
 Global distribution – Palaearctic.
 Ecology – Forest soils, moss, litter
description: Published as part of Murvanidze, Maka, Cilbircioğlu, Cihan, Özdemir, Esengül & Inak, Emre, 2020, Checklist of oribatid mites (Acari: Oribatida) of the Central Black Sea basin of Turkey with new records for the country, pp. 255-277 in Persian Journal of Acarology 9 (3) on page 260, DOI: 10.22073/pja.v9i3.61909, http://zenodo.org/record/5236444
Mining and Infrastructure Development in Nigeria: Appraisal of the Legal and Policy Framework for Investment and Sukuk
Creators: name: Arabi, Bakari
Publisher: name: University of East London
Year: 2019

description: This research study focuses on the extractive minerals sector as limited current research exists on the Nigeria‟s mining sector, compare to oil and gas which has been extensively researched. Nigeria has distinctive opportunities and challenges in relation to its extractive industries. Over the years, Nigeria has recorded significant fortunes in terms of revenue generated from oil and gas sector. However, failure to manage these resources effectively, diversify the economy and invest in infrastructure to create inclusive growth, has kept the country entangled in development challenges. Furthermore, the recent instability in global oil markets has resulted in considerable drop in Nigeria‟s revenue and thereby compounded the problem, hence, diversification is necessary. While Nigeria‟s mining sector is considered to be a potential alternative source of revenue, poor regulatory and policy frameworks, inadequate infrastructure and lack of investment create a serious setback to the sector. This study seeks to investigate the factors that can improve foreign direct investment and enable the use of innovative financial instruments for financing mining projects in Nigeria. Overall, the study explores key issues underpinning debates on mining and development. It finds that reviving the mining industry in Nigeria requires integrated reform to address issues of investment, industrial infrastructure and effective regulation. Adopting a three-pronged approach of analysis through legal, spatial and economic dimensions, this thesis interrogates how foreign direct investment and Islamic Finance instruments, particularly Sukuk could stimulate Nigeria‟s mining sector.
The Effects of Country of Origin Image and Patriotism on British Consumers' Preference for Domestic and Imported Beef
Creators: name: Meas, Thong
name: Hu, Wuyang
name: Grebitus, Carola
name: Colson, Gregory J.
name: Meas, Thong
name: Hu, Wuyang
name: Grebitus, Carola
name: Colson, Gregory J.
Publisher: name: Unknown
Year: 2014
Subjects: subject: Agribusiness
subject: Agricultural and Food Policy
subject: Consumer/Household Economics
subject: Food Consumption/Nutrition/Food Safety
subject: International Relations/Trade
subject: Country of Origin Label
subject: Country of Origin Image
subject: Consumer Patriotism
subject: Choice experiment
subject: Willingness-to-Pay for Beef
subject: Mixed Logit model

description: This article surveys British consumers’ preference for domestic and imported beef identified by country of origin labels (COOLs). Like previous studies related to COOL, we found a strong preference for domestic beef. Furthermore, the factors influencing such preference were examined. Using consumer patriotism and country of origin image perception, we found that stronger preference against imports was linked to higher perceived level of patriotism of the respondents toward their country, while better country of origin image improved the likelihood of the foreign country’s beef being selected.
TASAVVUF NAZARIY ISTILOHLARINING O'RGANILISHI, OBRAZ TAKOMILI TADQIQI
Creators: name: Raxmatova, Sitora
Publisher: name: Zenodo
Year: 2025

description: Mazkur maqolada tasavvufiy istilohlarning, xususan, tavhid, fano, va baqo tushunchalarining Alisher Navoiy ijodidagi o‘rni, ma’naviy-falsafiy mazmuni chuqur tahlil qilinadi. Alisher Navoiyning tasavvufiy asarlari orqali insonning ruhiy kamolot sari intilishi, ilohiy haqiqatga yetishish yo‘li ramziy obrazlar orqali tasvirlanadi. Najmiddin Komilovning “Tasavvuf” asaridagi tavhidga doir nazariy va amaliy yondashuvlari, shuningdek, tasavvuf peshvolari (Ibn Arabiy, Junayd Bag‘dodiy, Bayazid Bistomiy, Halloj) ta’limotlari orqali bu tushunchalarning tarixiy-falsafiy ildizlari yoritiladi. Ibrohim Haqqulning “Tasavvuf va she’riyat” asariga tayanib, Navoiy g‘azallaridagi fano va baqo mazmuni izchil tahlil qilinadi.
Theory and simulations of critical temperatures in CrI3 and other 2D materials: Easy-axis magnetic order and easy-plane Kosterlitz-Thouless transitions
Creators: name: Olsen, Thomas
Publisher: name: arXiv
Year: 2019
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: The recent observations of ferromagnetic order in several two-dimensional (2D) materials have generated an enormous interest in the physical mechanisms underlying 2D magnetism. In the present prospective article we show that Density Functional Theory (DFT) combined with either classical Monte Carlo simulations or renormalized spin-wave theory can predict Curie temperatures for ferromagnetic insulators that are in quantitative agreement with experiment. The case of materials with in-plane anisotropy is then discussed and it is argued that finite size effects may lead to observable magnetic order in macroscopic samples even if long range magnetic order is forbidden by the Mermin-Wagner theorem.
description: Prospective on the computational aspects of magnetism in 2D. 10 pages
Migrant Detention and the Inequities in Healthcare Access
Creators: name: Afari-Mensah, Esther
Publisher: name: University of East London
Year: 2019

description: Immigration removal centres (IRC) have been deployed by the government in an attempt to secure the nation’s borders. The normalisation of actions in the controlling of migration flows has been initiated by a perception placed on migrants as being a threat to the welfare and security of society and therefore “undeserving” as referred to by Foucault (2003). This research study aims to uncover and critique the political institutional structures that are placing undocumented migrants at health risk whilst going through the process of determining their residential and legal status. The findings of this research project indicate that equity ceases to exist at the point where border enforcement and the right to healthcare converge. There is a new penal system that is being constructed within immigration detention that has enabled the mechanisms of disempowerment of migrant detainees to be conceived. The analysis of this research project further reveals the perilous conditions of healthcare for migrants in UK’s IRCs and the characteristics of UK immigration policy in providing healthcare to detainees. This research study explores the nexus of neoliberalism and state power, whereby detainees, deprived of their liberty and rights, become sources of private profits. The withholding of healthcare, the weak implementation of rights and policies, the discretionary use of state power to overrule medical advice and health rights is evidenced in the construction of the “hostile environment”. Agamben’s concepts of the state of exception and the camp, Schmitt’s liberal legality and the social determinants of health (SDH) are used to explore how the hostile environment impacts on the accessing of healthcare for migrant detainees. Interviews with twelve former detainees and five service providers provide the empirical material at the heart of this research project. The practices relating to health and healthcare in immigration detention highlights how the camp paradigm extends beyond the walls of detention centres through expectations of other public services to do the work of border control. This strange combination of public and private sector responsibilities and interests, contradicts and causes tensions in doctors’ loyalties to the welfare of their patients and to the securitisation interest of the Home Office (HO), and other processes. Doctors are presented as advocates of patients, and of NGOs which use legal expertise regarding detainees’ rights to counter the detention system’s abusive obstruction of detainees’ access to health.