cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Black hole mass estimates in quasars - A comparative analysis of high- and low-ionization lines
Creators: name: Marziani, P.
name: del Olmo, A.
name: Martinez-Carballo, M. A.
name: Martinez-Aldama, M. L.
name: Stirpe, G. M.
name: Negrete, C. A.
name: Dultzin, D.
name: Onofrio, M. D'
name: Bon, E.
name: Bon, N.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: The inter-line comparison between high- and low-ionization emission lines has yielded a wealth of information on the quasar broad line region (BLR) structure and dynamics, including perhaps the earliest unambiguous evidence in favor of a disk + wind structure in radio-quiet quasars. We carried out an analysis of the CIV 1549 and Hbeta line profiles of 28 Hamburg-ESO high luminosity quasars and of 48 low-z, low luminosity sources in order to test whether the high-ionization line CIV 1549 width could be correlated with Hbeta and be used as a virial broadening estimator. We analyze intermediate- to high-S/N, moderate resolution optical and NIR spectra covering the redshifted CIV and H$β$ over a broad range of luminosity log L ~ 44 - 48.5 [erg/s] and redshift (0 - 3), following an approach based on the quasar main sequence. The present analysis indicates that the line width of CIV 1549 is not immediately offering a virial broadening estimator equivalent to H$β$. At the same time a virialized part of the BLR appears to be preserved even at the highest luminosities. We suggest a correction to FWHM(CIV) for Eddington ratio (using the CIV blueshift as a proxy) and luminosity effects that can be applied over more than four dex in luminosity. Great care should be used in estimating high-L black hole masses from CIV 1549 line width. However, once corrected FWHM(CIV) values are used, a CIV-based scaling law can yield unbiased MBH values with respect to the ones based on H$β$ with sample standard deviation ~ 0.3 dex.
description: 43 pages, 15 Figures, submitted to A&A
Two-dimensional gauge theories of the symmetric group S(n) and branched n-coverings of Riemann surfaces in the large-n limit
Creators: name: D'Adda, A.
name: Provero, P.
Publisher: name: arXiv
Year: 2002
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Branched n-coverings of Riemann surfaces are described by a 2d lattice gauge theory of the symmetric group S(n) defined on a cell discretization of the surface. We study the theory in the large-n limit, and we find a rich phase diagram with first and second order transition lines. The various phases are characterized by different connectivity properties of the covering surface. We point out some interesting connections with the theory of random walks on group manifolds and with random graph theory.
description: Talk presented at the "Light-cone physics: particles and strings", Trento, Italy, September 2001
Multimodal Precision Neuroimaging of the Individual Human Brain at Ultra-high fields
Creators: name: Cabalo, Donna Gift
name: Leppert, Ilana Ruth
name: Thevakumaran, Risa
name: Dekraker, Jordan
name: Hwang, Youngeun
name: Royer, Jessica
name: Kebets, Valeria
name: Tavakol, Shahin
name: Wang, Yezhou
name: Zhou, Yigu
name: Benkarim, Mohammed Oualid
name: Eichert, Nicole
name: Paquola, Casey
name: Tardif, Christine Lucas
name: Rudko, David
name: Smallwood, Jonathan
name: Cruces, Raul Rodriguez
name: Bernhardt, Boris
Publisher: name: Forschungzentrum Jülich
Year: 2024
Subjects: subject: 570

description: bioRxiv beta (2024). doi:10.1101/2024.06.17.596303
description: Multimodal neuroimaging allows for non-invasive examination of human brain structure and function across multiple scales. Precision neuroimaging builds upon this foundation, enabling the mapping of brain structure, function, and connectivity patterns with high fidelity in single individuals. Ultra-high field (UHF) neuroimaging, operating at magnetic field strengths of 7 Tesla or higher, increases signal-to-noise ratio and offers even higher spatial resolution. Here, we provide a multimodal Precision Neuroimaging and Connectomics (PNI) dataset, utilizing UHF 7T magnetic resonance imaging (MRI). Ten healthy individuals underwent a comprehensive MRI protocol, including T1 relaxometry, magnetization transfer imaging, T2*-weighted imaging, diffusion MRI, and multi-state functional MRI paradigms, aggregated across three imaging sessions. Alongside anonymized raw imaging data, we release cortex-wide connectomes from different modalities across multiple parcellation scales, and supply “gradients” that compactly characterize spatial patterning of cortical organization. Our precision imaging dataset will advance our understanding of structure-function relationships in the individual human brain and is publicly available via the Open Science Framework (https://osf.io/mhq3f/) and the Canadian Open Neuroscience Platform data portal (https://portal.conp.ca).
description: Published by Cold Spring Harbor Laboratory, NY, Cold Spring Harbor
Economic Implications of EU Mitigation Policies: Domestic and International Effects
Creators: name: Bosello, Francesco
name: Davide, Marinella
name: Alloisio, Isabella
name: Bosello, Francesco
name: Davide, Marinella
name: Alloisio, Isabella
Publisher: name: Unknown
Year: 2016
Subjects: subject: Environmental Economics and Policy
subject: Climate Change
subject: Climate Policy
subject: Mitigation
subject: Economic Impacts
subject: GDP
subject: Competitiveness

description: The EU has a consolidated climate and energy regulation: it played a pioneering role by adopting a wide range of climate change policies and establishing the first regional Emission Trading Scheme (EU ETS). These policies, however, raise several concerns regarding both their environmental effectiveness and their potentially negative effect on the economy, especially in terms of growth and competitiveness. The paper reviews the European experience in order to understand if these concerns are supported by quantitative evidence. It thus focuses on key economic indicators, such as costs, competitiveness and carbon leakage as assessed by quantitative ex-ante and ex-post analyses. A dedicated section, extends the investigation to the potential extra-EU spillover of the EU mitigation policy with a particular attention to developing countries. The objective of the paper is to highlight both the limits and the opportunities of the EU regulatory framework in order to offer policy insights to emerging and developing countries that are on the way to implement climate change measures. Overall, the European experience shows that the worries about the costs and competitiveness losses induced by climate regulation are usually overestimated, especially in the long term. In addition, a tightening climate policy regime in the EU might in fact negatively impact developing countries via deteriorated trade relations. Nonetheless it tends to facilitate a resource relocation that if well governed could be beneficial to those countries where the poor are mainly involved in rural activities.
Developing a novel molecular bacterial load assay to improve clinical management of Mycobacterium abscessus infections
Creators: name: Alferes De Lima, Daniela
Publisher: name: The University of St Andrews
Year: 2022
Subjects: subject: QR201.M96A6
subject: Mycobacterial diseases

description: Mycobacterium abscessus (M. abscessus) is one of the most common rapid growing non- tuberculous mycobacteria (NTM) causing pulmonary disease (PD). Treatment involves long and toxic multi-drug regimens with uncertain benefit. It is difficult to assess antibiotic efficacy as current treatment monitoring depends on semi-quantitative culture of serial clinical samples that takes weeks to provide results. This thesis describes the development of the first molecular, quantitative treatment monitoring tool for NTM-PD. The M. abscessus molecular bacterial load assay (MBLA) assay which we developed provides results within a working day. The M. abscessus MBLA targets the hypervariable portions of 16S and pre-16S rRNA using real-time quantitative PCR to solely quantify the viable organisms from patients’ sputum samples. Both RNA targets showed a strong correlation with cell viability, having >90% degradation within four weeks following cell death. The M. abscessus MBLA uses a standard curve to provide bacterial load quantification. An investigation into the impact of antibiotics used for M. abscessus- PD treatment on the standard curve revealed a correlation between the 16S rRNA quantification and bacterial load in the absence and presence of antibiotics. The potential of using pre-16S rRNA to 16S rRNA ratio as a measure of metabolic activity within a bacterial population was explored, showing that the ratio followed the growth trends of M. abscessus in the absence and presence of antibiotics. This thesis resulted in a treatment monitoring tool selective for M. abscessus-chelonae group species with an efficiency of 94% and limit of detection of log 10¹ CFU/ml. Preliminary clinical validation was limited by a small number of available samples from patients with M. abscessus- PD, but the assay accurately reported 6/8 positive results and 36/36 negative results against a gold standard of sputum culture. Larger clinical studies will be undertaken to fully evaluate the clinical utility of the test.
A Computational Study on Lens Spaces Isospectral on Forms
Creators: name: Lauret, Emilio A.
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Biophysics
subject: Medicine
subject: Pharmacology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics

description: We make a computational study to know what kind of isospectralities among lens spaces and lens orbifolds exist considering the Hodge–Laplace operators acting on smooth p-forms. Several facts evidenced by the computational results are proved and some others are conjectured.
The Political Economy of Energy Innovation
Creators: name: Shouro Dasgupta, Shouro
name: De Cian, Enrica
name: Verdolini, Elena
name: Shouro Dasgupta, Shouro
name: De Cian, Enrica
name: Verdolini, Elena
Publisher: name: Unknown
Year: 2016
Subjects: subject: Political Economy
subject: Energy Innovation
subject: Environmental Policy
subject: Patents
subject: Political Economy

description: This paper empirically investigates the effects of environmental policy, institutions, political orientation, and lobbying on energy innovation and finds that they significantly affect the incentives to innovate and create cleaner energy efficient technologies. We conclude that political economy factors may act as barriers even in the presence of stringent environmental policy, implying that, to move towards a greener economy, countries should combine environmental policy with a general strengthening of institutional quality, consider the influence of government’s political orientation on environmental policies, and the implications of the size of energy intensive sectors in the economy.
Agricultural support and vulnerability of food security to trade in developing countries
Creators: name: Laroche-Dupraz, Cathie
name: Huchet-Bourdon, Marilyne
name: Laroche-Dupraz, Cathie
name: Huchet-Bourdon, Marilyne
Publisher: name: Unknown
Year: 2016
Subjects: subject: Agricultural and Food Policy
subject: Food Security and Poverty
subject: International Relations/Trade
subject: national rate of assistance
subject: food security
subject: exchange rate
subject: food trade

description: Our hypothesis is that the Bonilla Index can be used as a consistent indicator of food security vulnerability to trade at national level. In this article, we test the assumption that, with the aim of stabilizing national food availability and accessibility, developing countries use policy instruments for stabilizing their Bonilla Index. After analysing the role of the national rate of assistance and of the exchange rate vulnerability of food security to trade, we first present the Bonilla Index evolution paths of 39 developing countries from 2005 to 2010. Second, we measure the impact of their national policy responses to 2008 price surge, by using the national rate of assistance on importable food products. Finally we test, statistically, the extent to which our qualitative hypotheses and relationships are actually confirmed by the data over the period 2005-2010. Our results suggest that most developing countries have used their possibility to play with the nominal rate of assistance level to compensate the effects of the 2008 food price surge, and that exchange rate variations actually have few impact on food accessibility for consumers in a context of volatility of food prices.
Comparing FISP to Alternative Programs
Creators: name: Ricker-Gilbert, Jacob
name: Lunduka, Rodney
name: Shively, Gerald
name: Jayne, Thom
name: Ricker-Gilbert, Jacob
name: Lunduka, Rodney
name: Shively, Gerald
name: Jayne, Thom
Publisher: name: Unknown
Year: 2014
Subjects: Agricultural and Food Policy

description: Malawi has made the Farm Input subsidy Program (FISP) the major pillar of both the country’s agricultural development strategy and its social protection policies since 2005/06. Expenditure on the FISP has been high, ranging from 5.6% of the national budget in 2005/06 to 16.2% of the national budget in 2008/09. The general findings on FISP impacts are that the program has made a relatively small positive contribution to maize production and farm income. However, the program’s impact on rural poverty remains unclear.
Tunable Perfect Anomalous Reflection in Metasurfaces with Capacitive Lumped Elements
Creators: name: Tsilipakos, Odysseas
name: Liu, Fu
name: Pitilakis, Alexandros
name: Tasolamprou, Anna C.
name: Kwon, Do-Hoon
name: Mirmoosa, Mohammad Sajjad
name: Kantartzis, Nikolaos V.
name: Economou, Eleftherios N.
name: Kafesaki, Maria
name: Soukoulis, Costas M.
name: Tretyakov, Sergei A.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: We demonstrate tunable perfect anomalous reflection with metasurfaces incorporating lumped elements. The tunable capacitance of each element provides continuous control over the local surface reactance, allowing for controlling the evanescent field distribution and efficiently tilting the reflected wavefront away from the specular direction. The performance of the metasurface is evaluated for both TE and TM polarization and for reflection to the first and second diffraction order.
description: 3 pages, 2 figures, 12th International Congress on Artificial Materials for Novel Wave Phenomena (METAMATERIALS 2018)
Understanding and Improving FISP Targeting
Creators: name: Lunduka, Rodney
name: Ricker-Gilbert, Jacob
name: Shively, Gerald
name: Jayne, Thom
name: Lunduka, Rodney
name: Ricker-Gilbert, Jacob
name: Shively, Gerald
name: Jayne, Thom
Publisher: name: Unknown
Year: 2014
Subjects: Agricultural and Food Policy

description: Evidence suggests that FISP’s decentralized targeting system is not much more effective than a random or universal distribution of coupons. The current system also suffers from high administrative costs. Part of the challenge is that it is not entirely clear who the FISP should target, as subsidized fertilizer and hybrid seed in its current formulation under FISP may not be the best intervention for the very poor.
“ I can’t do it anymore”: a qualitative study on the emergence of crisis in outpatient palliative care—the perspective of family caregivers
Creators: name: Azhar, Sofia
name: Herrmann-Johns, Anne
name: Wolff, Daniel
name: Rechenmacher, Michael
name: Kaiser, Ulrich
name: Wasner, Maria
Publisher: name: Universität Regensburg
Year: 2025
Subjects: subject: Palliative outpatient care, Family caregiver, Crisis, Qualitative research
subject: 610 Medizin

description: Background
The outpatient palliative care system is a central component of the palliative care structure in Germany, with family caregivers playing a vital role in ensuring and maintaining its success. However, crisis situations can destabilise and harm outpatient care. Previous studies have analysed hospitalisations and emergency admissions during palliative care. However, little is known about the factors that contribute to the emergence of crises in palliative outpatient care. The aim of this study was to identify factors contributing to the emergence of crisis in palliative outpatient care including the identification of protective strategies.
Methods
A qualitative study using semi-structured interviews with family caregivers recently involved in outpatient palliative care was performed. The analysis was conducted using thematic coding.
Results
A total of 15 family caregivers (13 female and 2 male) were recruited for the study. Crisis situations emerged through a cumulation of factors. Four categories of factors were identified: (1) structural factors, including limited access to health care professionals and a lack of necessary information, (2) illness related factors such as sudden progression in the illness trajectory and symptoms, (3) the intensity of care involvement and (4) emotional and psychological burden of family caregivers. A diverse range of protective strategies were employed by family caregivers, encompassing the involvement of the social network, the pursuit of information and the identification of a sense of purpose.
Conclusion
The findings of this study confirm the importance of providing continuous, competent, and empathetic care to both family caregivers and patients in palliative outpatient care. The study highlights the importance of expanding the palliative care infrastructure, as well as ensuring unrestricted access to palliative care professionals, developing tailored information tools for family caregivers, and reducing bureaucracy. Further studies are needed to identify additional influencing factors and evaluate effective measures.
Predictive Claim Scores for Dynamic Multi-Product Risk Classification in Insurance
Creators: name: Verschuren, Robert Matthijs
Publisher: name: arXiv
Year: 2019
Subjects: subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: It has become standard practice in the non-life insurance industry to employ Generalized Linear Models (GLMs) for insurance pricing. However, these GLMs traditionally work only with a priori characteristics of policyholders, while nowadays we increasingly have a posteriori information of individual customers available, sometimes even across multiple product categories. In this paper, we therefore consider a dynamic claim score to capture this a posteriori information over several product lines. More specifically, we extend the Bonus-Malus-panel model of Boucher and Inoussa (2014) and Boucher and Pigeon (2018) to include claim scores from other product categories and to allow for non-linear effects of these scores. The application of the resulting multi-product framework to a Dutch property and casualty insurance portfolio shows that the claims experience of individual customers can have a significant impact on the risk classification and that it can be very profitable to account for it.
Comment on "Spin-1 aggregation model in one dimension"
Creators: name: Duque, Daniel
Publisher: name: arXiv
Year: 2001
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: M. Girardi and W. Figueiredo have proposed a simple model of aggregation in one dimension to mimic the self-assembly of amphiphiles in aqueous solution [Phys. Rev. E 62, 8344 (2000)]. We point out that interesting results can be obtained if a different set of interactions is considered, instead of their choice (the s=1 Ising model).
description: Accepted for publication in Phys. Rev. E
title: Home game when away: forced migrants, football and the development of senses of belonging in Italy and Scotland
title: The home game when away: forced migrants, football and the development of senses of belonging in Italy and Scotland
titleType: AlternativeTitle
Creators: name: Pavan, Marianna
Publisher: name: The University of Edinburgh
Year: 2024
Subjects: subject: forced migrants
subject: football
subject: senses of belonging
subject: Italy
subject: Scotland
subject: playing football

description: This thesis investigates the impact of football on the development of the senses of belonging of forced migrants in Scotland and Italy. Particularly, whether and to what extent playing football had a potentially positive effect in fostering their senses of belonging. This work stems from what could be defined as one of the main issues of the 21st century, namely migration. In 2020 it was estimated that as many as 281 million international migrants were in the world, accounting for 3.6 % of the global population (IOM, 2022). Worldwide 82.4 million people were forcibly displaced by the end of 2020 (UNHCR, 2020). In the past 30 years, Italy – defined as a new immigration country – experienced the arrival not only of high numbers of migrants’ influxes but also of boat people due to its particular geographical location and vast coastal lands; Scotland – an old immigration country – has seen a change in the ethnic composition of migrants arriving. At the same time Sport for Development and Peace (SDP) has acquired an ever-increasing significance claiming sport’s positive social change function. Specifically, its potential use in fostering social inclusion and peaceful societal cohesion. Therefore, researching the potential role of sport in fostering senses of belonging and dialogue across cultures in two national contexts experiencing changes in the ethnic, cultural and religious composition of their populations, could be of significant importance.
Improving the Effectiveness of Malawi’s FISP
Creators: name: Ricker-Gilbert, Jacob
name: Lunduka, Rodney
name: Shively, Gerald
name: Jayne, Thom
name: Ricker-Gilbert, Jacob
name: Lunduka, Rodney
name: Shively, Gerald
name: Jayne, Thom
Publisher: name: Unknown
Year: 2014
Subjects: Agricultural and Food Policy

description: Benefit and cost estimates of the Farm Input Subsidy Program (FISP) indicate that the program often does not generate high enough returns to cover its costs. This has led to an ongoing debate regarding the effectiveness and sustainability of fertilizer subsidies in sub-Saharan Africa (SSA). In this brief we evaluate effectiveness of the FISP in Malawi under the following four criteria: 1) benefits vs. costs at the household level; 2) impact on the private input sector; 3) impacts on funding for other agricultural development programs; and 4) Macro-level and foreign exchange impacts.
Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus Scalar Sensor Data
Creators: name: Sadhu, Vidyasagar
name: Misu, Teruhisa
name: Pompili, Dario
Publisher: name: arXiv
Year: 2019
Subjects: subject: Machine Learning (cs.LG)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Robotics (cs.RO)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Corner cases are the main bottlenecks when applying Artificial Intelligence (AI) systems to safety-critical applications. An AI system should be intelligent enough to detect such situations so that system developers can prepare for subsequent planning. In this paper, we propose semi-supervised anomaly detection considering the imbalance of normal situations. In particular, driving data consists of multiple positive/normal situations (e.g., right turn, going straight), some of which (e.g., U-turn) could be as rare as anomalous situations. Existing machine learning based anomaly detection approaches do not fare sufficiently well when applied to such imbalanced data. In this paper, we present a novel multi-task learning based approach that leverages domain-knowledge (maneuver labels) for anomaly detection in driving data. We evaluate the proposed approach both quantitatively and qualitatively on 150 hours of real-world driving data and show improved performance over baseline approaches.
description: IROS 2019, 8 pages
A Computational Study on Lens Spaces Isospectral on Forms
Creators: name: Lauret, Emilio A.
Publisher: name: Taylor & Francis
Year: 2019
Subjects: subject: Biophysics
subject: Medicine
subject: Pharmacology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics

description: We make a computational study to know what kind of isospectralities among lens spaces and lens orbifolds exist considering the Hodge–Laplace operators acting on smooth p-forms. Several facts evidenced by the computational results are proved and some others are conjectured.
Spatial Analysis of Viable Farms
Creators: name: Kilgarriff, Paul
name: O’Donoghue, Cathal
name: Grealis, Eoin
name: Farrell, Niall
name: Hynes, Stephen
name: Ryan, Mary
name: Dillion, Emma
name: Green, Stuart
name: Morrissey, Karyn
name: Hennessy, Thia
name: Donnellan, Trevor
name: Kilgarriff, Paul
name: O’Donoghue, Cathal
name: Grealis, Eoin
name: Farrell, Niall
name: Hynes, Stephen
name: Ryan, Mary
name: Dillion, Emma
name: Green, Stuart
name: Morrissey, Karyn
name: Hennessy, Thia
name: Donnellan, Trevor
Publisher: name: Unknown
Year: 2015
Subjects: Agricultural and Food Policy

description: An economically viable farm is defined as having the capacity to remunerate family labour at the average agricultural wage, together with a return of 5 per cent on non-land assets. There is however significant spatial heterogeneity among farms. In this paper we examine farm viability using a classification concept (Frawley and Commins, 1996). A spatial microsimulation approach is used to add a spatial component to a farm micro dataset. This dataset is then linked to a spatial micro dataset of households which allows for farm and nonfarm analyses within the same analysis. This dataset enables us to analyse the characteristics of the areas within which viable farms exist in addition to the farms themselves.
Real-Time Data Processing in the Muon System of the D0 Detector
Creators: name: Parashar, N.
name: Bardon, O.
name: Goodwin, R.
name: Hansen, S.
name: Hoeneisen, B.
name: Podstavkov, V.
name: Uvarov, S.
name: Wood, D.
Publisher: name: arXiv
Year: 2001
Subjects: subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: This paper presents a real-time application of the 16-bit fixed point Digital Signal Processors (DSPs), in the Muon System of the D0 detector located at the Fermilab Tevatron, presently the world's highest-energy hadron collider. As part of the Upgrade for a run beginning in the year 2000, the system is required to process data at an input event rate of 10 KHz without incurring significant deadtime in readout. The ADSP21csp01 processor has high I/O bandwidth, single cycle instruction execution and fast task switching support to provide efficient multisignal processing. The processor's internal memory consists of 4K words of Program Memory and 4K words of Data Memory. In addition there is an external memory of 32K words for general event buffering and 16K words of Dual Port Memory for input data queuing. This DSP fulfills the requirement of the Muon subdetector systems for data readout. All error handling, buffering, formatting and transferring of the data to the various trigger levels of the data acquisition system is done in software. The algorithms developed for the system complete these tasks in about 20 microseconds per event.
description: 4 pages, Presented and published at the 11th IEEE NPSS Real Time Conference, held at Santa Fe, New Mexico, USA, from June 14-18, 1999
Pricing behaviour of cooperatives and investor-owned dairies in a spatial market setting
Creators: name: Zavelberg, Yvonne
name: Storm, Hugo
name: Zavelberg, Yvonne
name: Storm, Hugo
Publisher: name: Unknown
Year: 2015
Subjects: subject: Agricultural and Food Policy
subject: market power
subject: imperfect competition
subject: spatial competition
subject: cooperatives
subject: investor-owned firms
subject: competitive yardstick

description: This study analyses spatial competition in Germany’s raw milk market differentiating between cooperatives and investor-owned firms. We assess the impact of the own legal form and that of neighboring competitors on the pricing behavior. The focus of the empirical analysis is on the relations of space, measured as the average distance to competing neighbours, and raw milk prices. The results allow testing the shape of the relationship between price and space derived theoretically in the literature. For the south of Germany we find a negative relationship between space and raw milk price while for the north the relationship is positive. In both north and south the effect is stronger for cooperative compared to investor-owned firms. Further, we test for the competitive yardstick effect for which we find only small evidence in the south. The estimation is based on a data set covering all German dairies from 2001 to 2012 providing information on raw milk prices, processing quantities, legal and production form.
Mapping social media attention in Microbiology: Identifying main topics and actors
Creators: name: Robinson-Garcia, Nicolas
name: Arroyo-Machado, Wenceslao
name: Torres-Salinas, Daniel
Publisher: name: arXiv
Year: 2019
Subjects: subject: Digital Libraries (cs.DL)
subject: FOS: Computer and information sciences

description: This paper aims to map and identify topics of interest within the field of Microbiology and identify the main sources driving such attention. We combine data from Web of Science and Altmetric.com, a platform which retrieves mentions to scientific literature from social media and other non-academic communication outlets. We focus on the dissemination of microbial publications in Twitter, news media and policy briefs. A two-mode network of social accounts shows distinctive areas of activity. We identify a cluster of papers mentioned solely by regional news media. A central area of the network is formed by papers discussed by the three outlets. A large portion of the network is driven by Twitter activity. When analyzing top actors contributing to such network, we observe that more than half of the Twitter accounts are bots, mentioning 32% of the documents in our dataset. Within news media outlets, there is a predominance of popular science outlets. With regard to policy briefs, both international and national bodies are represented. Finally, our topic analysis shows that the thematic focus of papers mentioned varies by outlet. While news media cover the wider range of topics, policy briefs are focused on translational medicine, and bacterial outbreaks.
description: Paper accepted for publication in FEMS Microbiology Letters
КЛЮЧЕВЫЕ АСПЕКТЫ ПРЕОДОЛЕНИЯ КОМПЕНСАЦИИ ПРИ ПЕРВИЧНОМ ГИПОТИРЕОЗЕ У БЕРЕМЕННЫХ ЖЕНЩИН В САМАРКАНДСКОМ РЕГИОНЕ
Creators: name: Негматова, Гулзода
name: Абдиев, Лазизбек
name: Ибрагимов, Камронбек
Publisher: name: Zenodo
Year: 2025

description: Гипофункция щитовидной секреции у женщин на предгравидарном периоде и во время менструации представляет собой существенный травматизм для становления врожденного гипотиреоза у больных, что может приведет к фатальным видоизменениям в нервной системе. Несмотря на непременный приёмчик антибиотиков калия йодида, у беременных женщин часто следит гестационный гипотиреоз, что просит предназначения левотироксина для коррекции метаболического фона. Многие женщины могут мучиться от эпизодической гипофункции поджелудочной железы ещё до менструации, спровоцированной различными аспектами. При диагностированном гипотиреозе необходима метаболическая корректировка, впрочем расчетная дозировка левотироксина, основанная на биомассе туловища клиентки, не всегда оказывается достаточной для свершения долгосрочных понятий тиреотропного гормона (ТТГ). Кроме того, фармацевтические аспекты также игpают значимую функцию: препараты левотироксина натрия могут разниться по биодоступности. Внутренние аспекты, такие как температура и температура, а также состав наполнителей у различных импортёров, может существенно воздействовать на стабильность антибиотиков. Потому нерегулярный мониторинг подсистемы щитовидной секреции и личностный метод к лечению явлются критически значимыми для обслуживания самочувствия как матери, как и ребенка.
MOESM1 of Association of genetic and behavioral characteristics with the onset of diabetes
Creators: name: Ng, Carmen
name: Weiss, Jordan
Publisher: name: figshare
Year: 2019
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Science Policy

description: Additional file 1. Summary Characteristics for the Analytic and Complete Samples. This additional file demonstrates how the analytic sample used for this study differed from the complete HRS sample.
An Introduction to the Quantum Supermembrane
Creators: name: Dasgupta, Arundhati
name: Nicolai, Hermann
name: Plefka, Jan
Publisher: name: arXiv
Year: 2002
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We review aspects of quantisation of the 11-dimensional supermembrane world volume theory. We explicitly construct vertex operators for the massless states and study interactions of supermembranes. The open supermembrane and its vertex operators are discussed. We show how our results have direct applications to Matrix theory by appropriate regularisation of the supermembrane.
description: 24pgs, 4 figures
Supplementary document for Coherent control of the multiple wavelength lasing of N_2^+: coherence transfer and beyond - 5130269.pdf
Creators: name: Zhang, Xiang
name: Lu, Qi
name: Zhang, Zhedong
name: Fan, Zhengquan
name: Zhou, Dongjie
name: Liang, Qingqing
name: Yuan, Luqi
name: Zhuang, Songlin
name: Dorfman, Konstantin
name: Liu, Yi
Publisher: name: Optica Publishing Group
Year: 2021
Subjects: Uncategorized

description: more details of modeling
MOESM1 of Predictive models for diabetes mellitus using machine learning techniques
Creators: name: Lai, Hang
name: Huaxiong Huang
name: Keshavjee, Karim
name: Guergachi, Aziz
name: Gao, Xin
Publisher: name: figshare
Year: 2019
Subjects: subject: Space Science
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer
subject: Plant Biology
subject: Computational Biology

description: Additional file 1: Table S1. Summary of characteristics of patients in the dataset. Table S2. Confusion Matrix for the Gradient Boosting Machine (GBM) model with the threshold of 0.24. Table S3. Confusion Matrix for the Logistic Regression model with the threshold of 0.24. Table S4. Confusion Matrix for the Random Forest model with the threshold of 0.24. Table S5. Confusion Matrix for the Rpart model with the threshold of 0.18. Table S6. Comparing the AROC with other machine-learning techniques using the class weight method. Table S7. Sensitivity, Specificity, Misclassification Rate, and AROC values of the four models on the studied data set. Table S8. Sensitivity, Specificity, Misclassification Rate, and AROC values of the four models on the PIMA Indians data set.
MPEC 2024-C143 : 2024 CF3
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2024
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469
subject: 2024 CF3

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
Potwierdzenie występowania Tremex magus (Fabricius, 1787) (Hymenoptera, Symphyta: Siricidae) w Polsce
Creators: name: Grzegorz Lewek
name: Jarosław Kania
name: Marcin Kadej
Publisher: name: Zenodo
Year: 2025
Subjects: Tremex magus, faunistics, new record, sawflies, Horntails, Hymenoptera, Siricidae, Poland

description: Confirmation of the occurrence of Tremex magus (Fabricius, 1787) (Hymenoptera, Symphyta: Siricidae) in Poland.Tremex magus (Fabricius, 1787) is one of the rarest Siricidae in Central Europe. The species is listed on the Polish Red List of Threatened Animals. So far, it has been confirmed at three sites in Poland, two of which are historical. This paper presents a new record of T. magus from Wilczyce near Wrocław (Lower Silesian Voivodeship, southwestern Poland), which constitutes the second contemporary record of this rare horntail in Poland.
Unitarity constraints and role of geometrical effects
Creators: name: Troshin, S. M.
name: Tyurin, N. E.
Publisher: name: arXiv
Year: 2002
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Unitarity and geometrical effects are discussed for photon--photon scattering.
description: 4 pages, prepared for the Proceedings of European Workshop on the QCD Structure of the Nucleon, Castello Estense, Ferrara, Italy, 3-6 April 2002
Semantic-Aware Scene Recognition
Creators: name: López-Cifuentes, Alejandro
name: Escudero-Viñolo, Marcos
name: Bescós, Jesús
name: García-Martín, Álvaro
Publisher: name: arXiv
Year: 2019
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Scene recognition is currently one of the top-challenging research fields in computer vision. This may be due to the ambiguity between classes: images of several scene classes may share similar objects, which causes confusion among them. The problem is aggravated when images of a particular scene class are notably different. Convolutional Neural Networks (CNNs) have significantly boosted performance in scene recognition, albeit it is still far below from other recognition tasks (e.g., object or image recognition). In this paper, we describe a novel approach for scene recognition based on an end-to-end multi-modal CNN that combines image and context information by means of an attention module. Context information, in the shape of semantic segmentation, is used to gate features extracted from the RGB image by leveraging on information encoded in the semantic representation: the set of scene objects and stuff, and their relative locations. This gating process reinforces the learning of indicative scene content and enhances scene disambiguation by refocusing the receptive fields of the CNN towards them. Experimental results on four publicly available datasets show that the proposed approach outperforms every other state-of-the-art method while significantly reducing the number of network parameters. All the code and data used along this paper is available at https://github.com/vpulab/Semantic-Aware-Scene-Recognition
description: Paper submitted for publication to Elsevier Pattern Recognition journal
title: The Impact of Self-Belief and Student Behaviours on the Achievement of Target Grades in Sixth-Form: A Case Study
Creators: name: Jones, Ruth
Publisher: name: The Open University
Year: 2021

description: Within Further Education, assigning target grades to students at the outset of their programme of study is a prevalent practice which is assumed to be motivational. However, there has been little research about students’ experiences of this practice, and how it influences academic attitudes and behaviour. In response to this perceived gap, a case study design was undertaken in a sixth-form college to explore student experiences. This comprised four stages of data collection, the first of which involved students completing two questionnaires on self-efficacy and locus of control. Twelve students were then purposively selected, based on the lowest and highest questionnaire scores. The next stage entailed interviewing the twelve students in order to gain in-depth understanding of their experience. In stages three and four, data were collected on student attendance and grades for formative and summative assessment across the academic year. Thematic analysis of data revealed that not all students accepted their target grades, but this did not necessarily impact detrimentally on final outcomes. This was particularly apparent for students who shared an internal locus of control. Students with low levels of self efficacy were also found to exhibit particular behaviours such as procrastination; similarly this also did not necessarily impact on outcomes. However, being assigned a target in conjunction with low self-efficacy and an external locus of control did seem to result in a negative experience. Overall, the assumption that target grades are motivational has not been fully substantiated in this research. To promote the effectiveness of a college wide target setting policy, students need to own their own targets; however, this ownership may be influenced by their self-efficacy or locus of control beliefs. In addition, existing literature has not, to date, substantively explored target setting, self-efficacy and a locus of control and this is an area for future research.
The impact of concentrated pig production in Flanders: a spatial analysis
Creators: name: DE CLERCQ, L.
name: WILLEGHEMS, G.
name: MICHELS, E.
name: MEERS, E.
name: BUYSSE, J.
name: DE CLERCQ, L.
name: WILLEGHEMS, G.
name: MICHELS, E.
name: MEERS, E.
name: BUYSSE, J.
Publisher: name: Unknown
Year: 2015
Subjects: Agricultural and Food Policy

description: Historically concentrated livestock production and, consequently, manure production and management in Belgium have resulted in severe environmental impacts. One major impact, nitrate leaching from soil to surface water, is being tackled through the European Nitrates Directive by imposing strict fertilization standards. However, another significant impact of manure management is the emission of greenhouse gasses (GHG - CO2, CH4, NH3 and N2O) into the air, thereby contributing to global warming. Calls have been made to reduce the high manure pressure and related environmental effects in Belgium by relocating and more evenly spreading livestock production. This paper explores the spatial spreading of CO2-equivalent emissions from livestock production in Belgium and attempt to answer the following question: ‘Can spatial reallocation of livestock production in Belgium reduce the impact of GHG emissions?’. This question is translated into several research objectives: 1) conduct an economic (cost minimization) and environmental (GHG minimization) optimization for 3 manure management scenarios, 2) determine the main differences between both approaches, and 3) determine the marginal spatial impact on CO2 emissions of a decrease in manure pressure (i.e., increased spreading of pig production). To conduct the analysis, a model was developed that builds on the spatial mathematical programming multi-agent manure allocation model developed by Van der Straeten et al. (2010). Three options for manure management are inserted: transport of raw manure from nutrient excess to nutrient deficit areas, biological treatment of manure (manure processing) and manure separation. The model optimizes, at municipal level, either the cost-efficiency, either the environmental effect of the manure market in Belgium based on Belgian fertilization standards. While cost-efficiency is calculated based on transport distances and cost of manure separation and processing, GHG emissions, and hence, carbon footprint, are determined based on a life cycle analysis type calculation. The results of the model simulations show that, while the economic optimum is reached by maximizing the transport of raw manure until fertilization standards are fulfilled and subsequently separating and processing the excess manure, the environmental optimum, from a carbon footprint point of view, is reached by separating all manure as this option has the lowest CO2 emissions, mainly due to the limited manure storage time. Moreover, the analyses indicate that rearrangement of the spatial spreading of livestock production in Belgium will not substantially decrease CO2 emissions. As manure storage is the main contributor to the carbon footprint, solutions should rather lie in changing these storage systems.
Using citizen science in road surveys for large-scale amphibian monitoring: are biased data representative for species distribution?
Creators: name: Petrovan, Silviu O.
name: Vale, Cândida Gomes
name: Sillero, Neftalí
Publisher: name: Apollo - University of Cambridge Repository
Year: 2020
Subjects: Original Paper
Biodiversity appreciation and engagement
Landscape monitoring
Amphibian conservation
Road survey
Citizen science
Spatial analysis
Toad
Bufo bufo

description: Abstract: Road-based citizen science surveys are increasingly used for long-term monitoring of wildlife, including amphibians, over large spatial scales. However, how representative such data are when compared to the actual species distribution remains unclear. Spatial biases in site selection or road network coverage by volunteers could skew results towards more urbanised areas and consequently produce incorrect or partial trend estimations at regional or national scales. Our objective was to compare and verify potential spatial biases of road-based data using distribution datasets of different origins. We used as a case study the common toad (Bufo bufo), a fast-declining species and the main amphibian targeted by conservation action on roads in Europe. We used Maxent models to compare road survey data obtained from the 35 year-long “Toads on Roads” project in Great Britain with models using national-scale toad distribution records as well as with models using randomly generated points on roads. Distribution models that used data collected by volunteers on roads produced similar results to those obtained from overall species distribution, indicating the lack of selection bias and high spatial coverage of volunteer-collected data on roads. Toads were generally absent from mountainous areas and, despite the high availability of potential recorders, showed nearly complete absence of road-based records in large urban areas. This is probably the first study that comparatively evaluates species distribution models created using datasets of different origin in order to verify the influence of potential spatial bias of data collected by volunteers on roads. Large-scale declines of widespread amphibians have been demonstrated using data collected on roads and our results indicate that such data are representative and certainly comparable to other existing datasets. We show that for countries with high road network coverage, such as Great Britain, road-based data collected by volunteers represent a robust dataset and a critical citizen science contribution to conservation.