cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: Mental Health and Stress Level of Ukrainians Seeking Psychological Help Online
title: MAGKS - Joint Discussion Paper Series in Economics
Creators: name: Asanov Noha, Anastasiya-Mariya
name: Asanov, Igor
name: Buenstorf, Guido
Publisher: name: Philipps-Universität Marburg
Year: 2022
Subjects: Economics
Wirtschaft

description: We screen the mental well-being and psychological distress of 1165 refugees, migrants, internally displaced, and non-displaced people from Ukraine who seek psychological help online in Ukraine and across 24 countries of the European Union. We see that more than half of the respondents exhibit low levels of mental well-being and high psychological distress, with 81% being at risk of depression and 57% having severe psychological distress. Refugees and internally displaced people in our sample show a particularly high risk of depression and severe psychological distress. Nevertheless, the majority of Ukrainians seeking psychological help still work, study, or volunteer, and those who do have relatively alleviated mental levels of well-being.
MARKET SEGMENTATION STRATEGIES AND SEED PURCHASING DECISIONS AMONG SMALLHOLDERS: PRELIMINARY FINDINGS FROM KENYA
Creators: name: De Groote, Hugo
name: Andam, Kwaw S.
name: Munyua, Bernard
name: Spielman, David J.
name: De Groote, Hugo
name: Andam, Kwaw S.
name: Munyua, Bernard
name: Spielman, David J.
Publisher: name: Unknown
Year: 2010
Subjects: subject: Agribusiness
subject: Agricultural and Food Policy
subject: Agricultural Finance
subject: Marketing
subject: FOS: Economics and business
subject: Agricultural technology
subject: market segmentation
subject: input subsidies
subject: vouchers
subject: Kenya

description: Efforts to increase agricultural productivity in sub-Saharan Africa require innovative approaches to improve smallholder access to new technologies. One increasingly popular approach is the use of market segmentation schemes to target smallholders with subsidized inputs. This paper presents results from an evaluation of the impact of a discount voucher scheme designed to encourage the purchase of improved maize seed by smallholders in two districts in Kenya. The study uses a randomized experiment to rigorously establish the counterfactual, i.e., ―what would have happened in the absence of the scheme?‖ Findings suggest that while the scheme generated a significant displacement effect, higher discounts on the price of seed did have a positive impact on seed purchases. The findings are relevant to government and corporate decision-makers interested in disseminating genetically modified crops to smallholders in sub-Saharan Africa through the use of discount vouchers tied to humanitarian use exemptions and royalty-free licenses.
Country map
Creators: name: Friesema, Ingrid
name: Dame-Korevaar, Anita
Publisher: name: Zenodo
Year: 2021
Subjects: Country Map
Surveillance

description: Surveillance of a disease/pathogen often includes several institutes and/or departments. A template was made, named Country Map, to describe and visualize institutions, projects and data flows. This template consists of a Visio-document and a Excel-document. With the Country Map the existing but also currently missing links between institutes, data sources and data streams are visualized. This Country Map was made as part of the Dutch pilot project within One-Health EJP-ORION (Grant agreement no 773830).
Order parameter node removal in the d-wave superconductor $YBa_{2}Cu_{3}O_{7-x}$ under magnetic field
Creators: name: Beck, R.
name: Dagan, Y.
name: Milner, A.
name: Gerber, A.
name: Deutscher, G.
Publisher: name: arXiv
Year: 2002
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: hether the node in the order parameter characteristic of a $d-wave$ superconductor can or cannot be removed by an applied magnetic field has been a subject of debate in recent years. Thermal conductivity results on the high Tc superconductor $Bi_{2}Sr_{2}CaCu_{2}O_{8}$ originally explained by Laughlin in terms of such a node removal were complicated by hysteresis effects, and judged inconclusive. We present new tunneling data on $YBa_{2}Cu_{3}O_{7-x}$ that support the existence of the node removal effect, under specific orientations of the sample's surfaces and magnetic field. We also explain the hysteretic behavior and other previous tunneling results so far not understood satisfactorily, attributing them to a combination of node removal and Doppler shift of low energy surface bound states.
description: 3 pages, 3 figures
Additional file 1 of Development and validation of MRI-derived deep learning score for non-invasive prediction of PD-L1 expression and prognostic stratification in head and neck squamous cell carcinoma
Creators: name: Ding, Cong
name: Kang, Yue
name: Bai, Fan
name: Bai, Genji
name: Xian, Junfang
Publisher: name: figshare
Year: 2025
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Science Policy

description: Supplementary Material 1: Methods S1 Inclusion and exclusion criteria. Table S1 MR scanning parameters. Table S2 Clinical Characteristics of ICI cohort.
title: Whose Inflation Rates Matter Most? A DSGE Model and Machine Learning Approach to Monetary Policy in the Euro Area
title: MAGKS - Joint Discussion Paper Series in Economics
Creators: name: Stempel, Daniel
name: Zahner, Johannes
Publisher: name: Philipps-Universität Marburg
Year: 2022
Subjects: Monetary Policy
New Keynesian Models
European Monetary Union
Neural Networks
Transfer Learning
Economics
Wirtschaft

description: In the euro area, monetary policy is conducted by a single central bank for 20 member countries. However, countries are heterogeneous in their economic development, including their inflation rates. This paper combines a New Keynesian model and a neural network to assess whether the European Central Bank (ECB) conducted monetary policy between 2002 and 2022 according to the weighted average of the inflation rates within the European Monetary Union (EMU) or reacted more strongly to the inflation rate developments of certain EMU countries. The New Keynesian model first generates data which is used to train and evaluate several machine learning algorithms. We find that a neural network performs best out-of-sample. We use this algorithm to (i) generally classify historical EMU data, and to (ii) determine the exact weight on the inflation rate of EMU members in each quarter of the past two decades. Our findings suggest disproportional emphasis of the ECB on the inflation rates of EMU members that exhibited high inflation rate volatility for the vast majority of the time frame considered (80%), with a median inflation weight of 67% on these countries. We show that these results stem from a tendency of the ECB to react more strongly to countries whose inflation rates exhibit greater deviations from their long-term trend.
Molecular regulation of BRD3 in forward programming of Megakaryocytes
Creators: name: Rosa, Maria Isabel
Publisher: name: Apollo - University of Cambridge Repository
Year: 2019
Subjects: Megakaryopoiesis
bromodomains
BRD3

description: Platelets are one of the most abundant cell type in the blood, and they play a crucial role in the process of homeostasis. Platelet traits, such as platelet count (PLT) and mean platelet volume (MPV) are highly heritable and stable within individuals, but the molecular mechanisms controlling these traits are poorly understood. Genome-wide association studies (GWAS) have identified BRD3 as a regulator of platelet traits. BRD3, along with BRD2, BRD4 and BRDT, is classified within the bromodomain and extra terminal (BET) family, specialised in recognising and binding to acetylated lysine residues. In this project, I studied the functions of BRD3 during megakaryopoiesis, the process that leads to platelet formation. Because platelets do not have nucleus, megakaryocytes are the best model to study chromatin interactors associated with platelet traits. I used CRISPR/Cas9 to generate a BRD3 KO iPSc model. These cells were capable to differentiate into MKs, using a forward programming protocol, demonstrating that BRD3 is not essential for MK differentiation. I found that a subset of genes was differentially expressed in the absence of BRD3, despite genome-wide chromatin accessibility and H3K27ac signatures remaining unaltered. In order to investigate whether there was a compensatory effect among BET proteins, I designed BRD2 and BRD4 KO iPSCs, as well as combinations of BET KOs. BRD2 KO generated MK progenitors, indicating that the protein is also dispensable in MK generation. Interestingly, using an inhibitor that recognises all BET proteins, MK progenitor differentiation was impaired, but not late megakaryopoiesis, suggesting that some BET proteins might play a critical role in early MK differentiation. Overall, these results indicate that BRD2 and BRD3 are dispensable in megakaryocytes differentiation, and probably, that BRD4 might be essential due to its role in mesoderm differentiation. Together, this work starts to unveil the requirement of BET during megakaryopoiesis.
description: British Heart Foundation
Multiphonon excitations from dark matter scattering in crystals
Creators: name: Campbell-Deem, Brian
name: Cox, Peter
name: Knapen, Simon
name: Lin, Tongyan
name: Melia, Tom
Publisher: name: arXiv
Year: 2019
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: For direct detection of sub-MeV dark matter, a promising strategy is to search for individual phonon excitations in a crystal. We perform an analytic calculation of the rate for light dark matter (keV $
description: 35 pages, 4 figures. v2: updated anharmonic structure factor and results; conclusion unchanged
Examining Autocompletion as a Basic Concept for Interaction with Generative AI
Creators: name: Lehmann, Florian
name: Buschek, Daniel
Publisher: name: arXiv
Year: 2022
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: Autocompletion is an approach that extends and continues partial user input. We propose to interpret autocompletion as a basic interaction concept in human-AI interaction. We first describe the concept of autocompletion and dissect its user interface and interaction elements, using the well-established textual autocompletion in search engines as an example. We then highlight how these elements reoccur in other application domains, such as code completion, GUI sketching, and layouting. This comparison and transfer highlights an inherent role of such intelligent systems to extend and complete user input, in particular useful for designing interactions with and for generative AI. We reflect on and discuss our conceptual analysis of autocompletion to provide inspiration and a conceptual lens on current challenges in designing for human-AI interaction.
description: This is an author version, see DOI for original article
Efficiency fluctuations of stochastic machines undergoing a phase transition
Creators: name: Vroylandt, Hadrien
name: Esposito, Massimiliano
name: Verley, Gatien
Publisher: name: arXiv
Year: 2019
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We study the efficiency fluctuations of a stochastic heat engine made of $N$ interacting unicyclic machines and undergoing a phase transition in the macroscopic limit. Depending on $N$ and on the observation time, the machine can explore its whole phase space or not. This affects the engine efficiency that either strongly fluctuates on a large interval of equiprobable efficiencies (ergodic case) or fluctuates close to several most likely values (nonergodic case). We also provide a proof that despite the phase transition, the decay rate of the efficiency distribution at the reversible efficiency remains largest one although other efficiencies can now decay equally fast.
description: 5 pages, 3 figures, as published in PRL
title: Motivate the Crowd or Crowd-them out? The Impact of Local Government spending on the Voluntary Provision of a Green Public Good
title: MAGKS - Joint Discussion Paper Series in Economics
Creators: name: Bartels, Lara
name: Kesternich, Martin
Publisher: name: Philipps-Universität Marburg
Year: 2022
Subjects: Crowding-out
Willingness to pay
Framed-field experiment
Social Norms
Economics
Wirtschaft
Voluntary provision of environmental public goods

description: Cities are increasingly hold accountable for climate action. By demonstrating their pro-environmentality through own climate-related activities, they not at least aspire to encourage individual climate protection efforts. Based on standard economic theory there is little reason to assume that this is a promising strategy. Financed by taxpayers’ money, cities’ contributions are considered as substitutes that crowd-out private contributions to the same public good. Inspired by research on providing information on reference group behavior, we challenge this argument and conduct a framed-field experiment to analyze the impact of reference group information on the voluntary provision of a green public good. We investigate whether information on previous contributions by fellow citizens or the city affect individual contributions. We do not find statistical evidence that city-level information crowds-out additional individual contributions. A reference to fellow citizens significantly increases the share of contributors as it attracts subjects that are not per-se pro-environmentally oriented.
Potential Key Technologies for 6G Mobile Communications
Creators: name: Yuan, Yifei
name: Zhao, Yajun
name: Zong, Baiqing
name: Parolari, Sergio
Publisher: name: arXiv
Year: 2019
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: The standard development of 5G wireless communication culminated between 2017 and 2019, followed by the worldwide deployment of 5G networks, which is expected to result in very high data rate for enhanced mobile broadband, support ultra-reliable and low-latency services and accommodate massive number of connections. Research attention is shifting to future generation of wireless communications, for instance, beyond 5G or 6G. Unlike previous papers, which discussed the use cases, deployment scenarios, or new network architectures of 6G in depth, this paper focuses on a few potential technologies for 6G wireless communications, all of which represent certain fundamental breakthrough at the physical layer-technical hardcore of any new generation of wireless communications. Some of them, such as holographic radio, terahertz communication, large intelligent surface, and orbital angular momentum, are of revolutionary nature and many related studies are still at their scientific exploration stage. Several technical areas, such as advanced channel coding and modulation, visible light communication, and advanced duplex, while having been studied, may find more opportunities in 6G.
description: SCIENCE CHINA Information Sciences, 28 pages, 7 figures,
Comparative functional analysis of the atypical Notch ligands DLK1 and DLK2 in vertebrate development
Creators: name: Ashcroft, Alexandra
Publisher: name: Apollo - University of Cambridge Repository
Year: 2019
Subjects: DLK1
DLK2
mouse model
developmental biology
zebrafish
mice
evo-devo

description: DLK1 and DLK2 are vertebrate specific non-canonical Notch ligands. Dlk1 is imprinted throughout murine development [76] but selectively loses its imprint in the postnatal neurogenic niche by an unknown mechanism [78]. Possessing both secreted and membrane-tethered isoforms[212, 211], DLK1 plays critical roles in a wide range of developmental processes and is implicated in several diseases, including obesity and cancer[35, 241]. Apart from a few exceptions[78], in the majority of processes, the precise roles and relative contributions of membrane-bound and secreted DLK1 are unknown . DLK2 is a related gene with homology to DLK1 [108, 49]; however virtually nothing is known about it. Preliminary data from the Ferguson-Smith lab suggests that it is involved in neurogenesis in the Zebrafish. This project investigates the role that DLK2 plays in wild-type mice and compares the gene to DLK1.
description: My work was funded by a Wellcome Trust studentship and a Lander studentship from my college.
title: On the Empirical Relevance of the Exchange Rate as a Shock Absorber at the Zero Lower Bound
title: MAGKS - Joint Discussion Paper Series in Economics
Creators: name: Finck, David
name: Hoffmann, Mathias
name: Hürtgen, Patrick
Publisher: name: Philipps-Universität Marburg
Year: 2022
Subjects: Economics
Wirtschaft
Zero Lower Bound
Local Projections, State-dependent Effects
Exchange Rate

description: The open economy New Keynesian model with flexible exchange rates postulates that the real exchange rate appreciates in response to an asymmetric negative demand shock in a zero lower bound (ZLB) scenario and exacerbates the adverse macroeconomic effects. However, when monetary policy is able to accommodate the adverse effects of the negative demand shock via unconventional measures, the model can generate a real depreciation at the ZLB. This paper examines these counteracting exchange rate channels empirically. We estimate the effect of a negative asymmetric demand shock on the real exchange rate and inflation expectations as well as output and prices by employing state-dependent and sign-restricted local projection methods for the euro area vis-à-vis the United States, Canada, and Japan. We find that the real exchange rate depreciates when interest rates are not at the ZLB but also when they are. Furthermore, our empirical results show that the real exchange rate can absorb considerable variations in output, confirming its shock-absorbing capacity before but also during the ZLB episode. The stabilizing role of the exchange rate is accompanied by a significant expansion of the ECBs balance sheet in the ZLB period, while it remained unaffected in the pre-ZLB period. Overall, our empirical results favor the open economy New Keynesian model with unconventional measures when interest rates are at the ZLB.
A FAMILY OF SMALL SECRETED PROTEINS FROM RHIZOPHAGUS IRREGULARIS CONTRIBUTE TO ARBUSCULAR MYCORRHIZA SYMBIOSIS
Creators: name: Quan, Clément Ky Cuong
Publisher: name: Apollo - University of Cambridge Repository
Year: 2019
Subjects: Rhizophagus irregularis
Effector proteins
Arbuscular mycorrhizal fungi
Symbiosis

description: Arbuscular mycorrhizal (AM) fungi are able to colonize more than 80% of all land plants, providing several benefits to their host, such as an increased nutritious status or an increased resistance to pathogens. The molecular mechanisms underlying plant colonization are still unknown, due to the lack of molecular tools to genetically modify the fungus. To date, only two secreted proteins from Rhizophagus irregularis have been described and known to participate in the symbiosis. However, based on recent transcriptomic data, more secreted proteins have arisen as potential participating candidates in development of the symbiosis. This project aimed at mining the predicted secretome of R. irregularis to discover additional secreted proteins contributing to the development and establishment of the AM symbiosis. In this study, a bioinformatic approach, associated with expression assays, led to the identification and characterization of twenty-four candidate effectors from the AM fungus R. irregularis. Two candidate effectors were exclusively targeting the plant nucleus and nucleolus. Both of these candidates showed a potential effect on the oomycete plant pathogen Phytophthora palmivora when transiently expressed in planta. Overexpression of the other three candidate effectors in Nicotiana benthamiana roots showed evidence for an increase in AM symbiosis. Amongst them, one candidate effector, R5, showed expression evidence in R. irregularis when colonizing N. benthamiana. The gene was found to be part of a gene family containing 15 members, most of them showing a strong and in planta restricted expression. BLASTp analysis has revealed sequence similarity with a characterized effector from Fusarium oxysporum, secreted in xylem 6 (Six6). Yeast-two-hybrid assay revealed a vascular plant one-zinc- finger (VOZ1) transcription factor as a potential plant target to R5. However, in vivo validation of the interaction failed at confirming the association. Additionally, preliminary data seem to indicate that other members of the family might participate in the symbiosis, as an increased level of AM colonization was observed in Medicago truncatula hairy roots upon expression of some of the genes. Future work would be needed to validate these results together with expanding the search for plant targets for other members of the family.
THE BARROSO PROPOSAL OF NATIONALIZING GMAPPROVAL: A LOOK AT HT SUGAR BEETS UNDER CHANGED EUROPEAN SUGAR POLICY
Creators: name: Dillen, Koen
name: Tollens, Eric
name: Wesseler, Justus
name: Dillen, Koen
name: Tollens, Eric
name: Wesseler, Justus
Publisher: name: Unknown
Year: 2010
Subjects: subject: Crop Production/Industries
subject: Environmental Economics and Policy
subject: agriculture policy
subject: Bayesian decision analysis
subject: biotechnology
subject: MISTICs
subject: technical change

description: The president of the European Commission José Manuel Barroso proposed in 2009 to nationalize the approval of genetically modified crops. We use a stochastic partial equilibrium model with irreversibility to analyze the effect of the Common Market Reform for sugar on the maximum incremental social tolerable irreversible costs (MISTICs) of genetically modified herbicide tolerant sugar beet. Voting for approval based on the MISTICs is assessed at the national and the EU level. Results show that the Barroso proposal is more proportional to the economic incentives of technology than the different EU treaties.
Machine Learning-Based Prediction of Long-Term Treatment Demand for Patients with Chronic Retinal Diseases
Creators: name: Gallardo, Mathias
name: Munk, Marion R.
name: De Zanet, Sandro
name: Mosinska, Agata
name: Karagoz, Kutlutürk Isıl
name: Ciller, Carlos
name: Zinkernagel, Martin S.
name: Wolf, Sebastian
name: Sznitman, Raphael
Publisher: name: Zenodo
Year: 2021

description: Poster: Machine Learning-Based Prediction of Long-Term Treatment Demand for Patients with Chronic Retinal Diseases
Fully-Relativistic Full-Potential Multiple Scattering Theory: Method and Applications
Creators: name: Xianglin Liu
Publisher: name: Carnegie Mellon University
Year: 2019
Subjects: subject: 20399 Classical Physics not elsewhere classified
subject: FOS: Physical sciences

description: Relativistic eff ects (spin-orbit coupling in particular), are the origin of a rich diversity of phenomena of great interest to technological applications, such as spin-Hall eff ect, chiral spin texture, Rashba e ffect, and magnetocrystalline anisotropy. Multiple scattering theory (MST), on the other hand, is a powerful first principles method that is particularly useful for the investigation of complex condensed matter systems, such as impurities, alloys, and nanostructures. In this thesis, combination of the two is achieved with a state of the art single-site solver that directly solves the full-potential Dirac equation, in which the relativistic eff ects and full potential e ffects are treated on an equal footing. Compared to previous implementations of the full-potential relativistic MST, the generalized variable phase (sine and cosine scattering matrices) approach used here has the feature that all couplings of the solutions are retained and the solutions are expressed in terms of the free-space solutions, with no matching procedure required.
A persistent problem in previous implementation of the full-potential MST is that the charge density calculated within a sizable fraction of the mu n-tin radius are numerically
unstable. In this thesis we present a new scheme to carry out the energy integration of the Green function. By using an effi cient pole-searching technique to identify zeros of the well-behaved Jost matrices, we demonstrated that this scheme is numerically stable and computationally effi cient, with speed comparable to the conventional contour energy integration method, while free of the pathology problem of the charge density. As an application, this method is utilized to self-consistently calculate the bulk properties of polonium, which is challenging for a conventional real-energy
scheme. The last chapter of this thesis is devoted to the application of our method to study magnetic anisotropy. This is in light of the rapid progress in recent years on the
technology of perpendicular magnetic anisotropy for magnetic tunnel junctions (MTJ). As a preliminary study, the magnetic anisotropy energy of a free-standing Fe monolayer
is calculated and good agreement with other methods is obtained. This study lays foundation for future research on large scale simulation of magnetic multilayer systems.
Additional file 1 of Contributions and challenges of community pharmacists during the COVID-19 pandemic: a qualitative study
Creators: name: Durand, Claire
name: Douriez, Eric
name: Chappuis, Aude
name: Poulain, Frédérique
name: Yazdanpanah, Yazdan
name: Lariven, Sylvie
name: Lescure, François-Xavier
name: Peiffer-Smadja, Nathan
Publisher: name: figshare
Year: 2022
Subjects: subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Additional file 1. COREQ checklist.
Additional file 1 of Tumor-derived exosomal KPNA2 activates fibroblasts and interacts with KIFC1 to promote bladder cancer progression, a process inhibited by miR-26b-5p
Creators: name: Yin, Cong
name: Liufu, Cen
name: Ye, Shuai
name: Zhu, Tao
name: Jiang, Jiahao
name: Wang, Mingxia
name: Zhou, Liqun
name: Yao, Lin
name: Wang, Yan
name: Shi, Bentao
Publisher: name: figshare
Year: 2025
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Developmental Biology
subject: Cancer

description: Additional file 1.
BIOFUEL AND POLICY ALTERNATIVES: A FARM LEVEL ANALYSIS
Creators: name: Finco, Adele
name: Padella, Monica
name: Spinozzi, Romina
name: Benedetti, Andrea
name: Finco, Adele
name: Padella, Monica
name: Spinozzi, Romina
name: Benedetti, Andrea
Publisher: name: Unknown
Year: 2010
Subjects: subject: Environmental Economics and Policy
subject: Farm Management
subject: biodiesel
subject: firm-level analysis
subject: break-even analysis

description: Within the past years, there has been a significant movement in political consensus towards an energy future with a substantially larger renewable energy component both in Europe and Italy. The biofuel industry has been experiencing a period of extraordinary growth, fueled by a combination of high oil prices, and ambitious blending mandates, tax exemptions and import protection. The major drivers are the reduction of greenhouse gas emissions and fossil fuel use, increased awareness of fossil fuels’ contribution to global climate change, the desire to promote economic revitalization in rural areas and the possibility to create new markets for agricultural products. This paper examines the history of European and Italian biodiesel policy and evaluates the economics of biodiesel production in today’s market environment in Italy. The aim is to shed light on the prospective of the industry and to understand the impacts of policy alternatives. The study is motivated by the increase in biodiesel production capacity realized in Italy in the past years, in contrast whit the actual scenario, emerged from Italian plant managers interviews. We develop an analysis at the firm level to review factors which have contributed to the boom in biodiesel production. The analysis is built upon the work developed by Tyner and Taheripuor for ethanol (2008). It’s based on a break-even comparison for combinations of rapeseed and biodiesel prices which keep a representative biodiesel plant at the zero profit condition. The aim is to examine the profitability of Italian biodiesel industry in 2004-2009.
Search for Scalar Top and Scalar Bottom Quarks at LEP
Creators: name: The OPAL Collaboration
name: Abbiendi, G.
Publisher: name: arXiv
Year: 2002
Subjects: subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: Searches for a scalar top quark and a scalar bottom quark have been performed using a data sample of 438 pb-1 at centre-of-mass energies of sqrt(s) = 192 - 209 GeV collected with the OPAL detector at LEP. No evidence for a signal was found. The 95% confidence level lower limit on the scalar top quark mass is 97.6 GeV if the mixing angle between the supersymmetric partners of the left- and right-handed states of the top quark is zero. When the scalar top quark decouples from the Z0 boson, the lower limit is 95.7 GeV. These limits were obtained assuming that the scalar top quark decays into a charm quark and the lightest neutralino, and that the mass difference between the scalar top quark and the lightest neutralino is larger than 10 GeV. The complementary decay mode of the scalar top quark decaying into a bottom quark, a charged lepton and a scalar neutrino has also been studied. The lower limit on the scalar top quark mass is 93.0 GeV for this decay mode, if the mass difference between the scalar top quark and the scalar neutrino is greater than 10 GeV and if the mixing angle of the scalar top quark is zero. From a search for the scalar bottom quark, a mass limit of 96.6 GeV was obtained if the mass difference between the scalar bottom quark and the lightest neutralino is larger than 10 GeV.
description: 19 pages, 5 figures
title: What do we Actually Know About Math Learning Strategies?
title: MAGKS - Joint Discussion Paper Series in Economics
Creators: name: Büchele, Stefan
Publisher: name: Philipps-Universität Marburg
Year: 2022
Subjects: Economics
Wirtschaft
omitted variables
higher education
learning strategies
math performance

description: Various studies investigate the effects of learning strategies on students' (math) performance. However, particularly in math, one can see a mixed pattern of the impact of learning strategies on performance. This is probably because of different methodological approaches, leading to different results. This study investigates the effect of learning strategies on math performance within different statistical and methodological approaches using a sample of 299 undergraduate students enrolled in Economics and Business Administration at a midsized German university and compares the different outcomes. On the one hand, the results suggest that most studies probably report biased estimations, which are not trustworthy. On the other hand, those learning strategies might not be as important as educational researchers and practitioners think.
The Pleistocene History of the Birmingham District
Creators: name: Gibson, Sebastian M.
Publisher: name: Apollo - University of Cambridge Repository
Year: 2019
Subjects: Stratigraphy
Wolstonian
Bytham
OSL
Glaciation

description: The Birmingham district in the West Midlands of England contains a complex sequence of Middle to Late Pleistocene sediments attributed to at least three lowland glaciations (Anglian, Wolstonian, and Devensian) as well as a variety of non-glacial sediments. Understanding the age of the Pleistocene glacial deposits is critical to reconstructing the palaeoenvironmental history of the district and its relationships with adjacent regions. The exact age of the Middle Pleistocene glacial deposits, however, is disputed, with one hypothesis favouring ‘Wolstonian’ glaciation intermediate in age between the Hoxnian and the Ipswichian interglacial stages, and another hypothesis favouring an older (pre-Hoxnian) glaciation during the Anglian Stage (equated with Marine Isotope Stage (MIS) 12). To resolve this dispute, the present study seeks to establish a new regional stratigraphy of the Birmingham district and to re-evaluate its palaeoenvironmental history, supported by optically stimulated luminescence (OSL) dating, cosmogenic exposure dating, and palynology. The results reject the hypothesis of glaciation during the Anglian Stage and instead support that of Wolstonian glaciation. Field observations of the sedimentological properties of glacial sequences at sites in three regions of the Birmingham district indicate that the glacial stratigraphy was controlled to the east by the Irish Sea and North-East ice (around the sites of Wolston, Glebe Farm, Meriden Quarry, Park Farm, and Gilson) and to the west by Welsh ice (around the sites of Seisdon and Frankley). The sites are correlated across the district using lithostratigraphy, chronostratigraphy, and biostratigraphy. Overall, their geological evidence establishes the former presence of Wolstonian glacial ice in the Birmingham district about c.183.5 ka, during MIS 6. This reconstruction is consistent with evidence for Wolstonian glacial ice at a similar time in eastern England and to the equivalent Saalian glaciation of continental Europe.
Multiple retrograde substructures in the Galactic halo: A shattered view of Galactic history
Creators: name: Koppelman, Helmer H.
name: Helmi, Amina
name: Massari, Davide
name: Price-Whelan, Adrian M.
name: Starkenburg, Tjitske K.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Aims. Several kinematic and chemical substructures have been recently found amongst Milky Way halo stars with retrograde motions. It is currently unclear how these various structures are related to each other. This Letter aims to shed light on this issue. Methods. We explore the retrograde halo with an augmented version of the Gaia DR2 RVS sample, extended with data from three large spectroscopic surveys, namely RAVE, APOGEE and LAMOST. In this dataset, we identify several structures using the HDBSCAN clustering algorithm. We discuss their properties and possible links using all the available chemical and dynamical information. Results. In concordance with previous work, we find that stars with [Fe/H] $-1$. The retrograde halo contains a mixture of debris from objects like Gaia-Enceladus, Sequoia, and even the chemically defined thick-disc. We find that the Sequoia has a smaller range in orbital energies than previously suggested and is confined to high-energy. Sequoia could be a small galaxy in itself, but since it overlaps both in integrals-of-motion space and chemical abundance space with the less bound debris of Gaia-Enceladus, its nature cannot be fully settled yet. In the low-energy part of the halo we find evidence for at least one more distinct structure: Thamnos. Stars in Thamnos are on low inclination, mildly eccentric retrograde orbits, moving at $v_ϕ\approx-150$ km/s, and are chemically distinct from the other structures. Conclusions. Even with the excellent Gaia DR2 data it remains challenging to piece together all the fragments found in the retrograde halo. At this point, we are very much in need of large datasets with high-quality high-resolution spectra and tailored high-resolution hydrodynamical simulations of galaxy mergers.
description: 6 pages, 5 figures, submitted to A&A
title: Math Skill Growth and Learning Differences in Higher Education. Can Lower-Skilled Students Catch up?
title: MAGKS - Joint Discussion Paper Series in Economics
Creators: name: Büchele, Stefan
name: Marten, Carina
Publisher: name: Philipps-Universität Marburg
Year: 2022
Subjects: Economics
Wirtschaft
student heterogeneity
math skill
learning differences
learning growth
higher education

description: Studies determining students' success in higher education mostly rely on students' predetermined baseline variables like high school GPA or ACT scores and, therefore, describe skill differences at the beginning of college but not the development of these differences over time. Whether ex-ante lower-skilled students can catch up or higher-skilled students may expand their initial lead remains unclear. We investigate the students' learning growth in a business math course and analyze if the gap between initially higher and lower-skilled students changes. Also, we provide possible reasons for different skill growth rates using panel data and mixed-effects models. The results suggest that ex-ante higher-skilled students become disproportionately better (cumulative learning pattern). However, we find evidence that this is only because of engagement effects. In other words, ex-ante lower-skilled students cannot catch up and fall behind even more because they seem less engaged in their studies than higher-skilled students.
Combining Policies for Renewable Energy: Is the Whole Less than the Sum of Its Parts?
Creators: name: Fischer, Carolyn
name: Preonas, Louis
name: Fischer, Carolyn
name: Preonas, Louis
Publisher: name: Unknown
Year: 2010
Subjects: subject: Environmental Economics and Policy
subject: Research and Development/Tech Change/Emerging Technologies
subject: environment
subject: technology
subject: externality
subject: policy
subject: climate change
subject: renewable energy

description: Since the energy crisis in the 1970s and later the growing concern for climate change in the 1990s, policymakers at all levels of government and around the world have been enthusiastically supporting a wide range of incentive mechanisms for electricity from renewable energy sources (RES-E). Motivations range from energy security to environmental preservation to green jobs and innovation, and measures comprise an array of subsidies to mandates to emissions trading. But do these policies work together or at cross-purposes? To evaluate RES-E policies, one must understand how specific policy mechanisms interact with each other and under what conditions multiple policy levers are necessary. In this article, we review the recent environmental economics literature on the effectiveness of RES-E policies and the interactions between them, with a focus on the increasing use of tradable quotas for both emissions reduction and RES-E expansion.
Additional file 2 of Tumor-derived exosomal KPNA2 activates fibroblasts and interacts with KIFC1 to promote bladder cancer progression, a process inhibited by miR-26b-5p
Creators: name: Yin, Cong
name: Liufu, Cen
name: Ye, Shuai
name: Zhu, Tao
name: Jiang, Jiahao
name: Wang, Mingxia
name: Zhou, Liqun
name: Yao, Lin
name: Wang, Yan
name: Shi, Bentao
Publisher: name: figshare
Year: 2025
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Developmental Biology
subject: Cancer

description: Additional file 2.
Viscous coefficients and thermal conductivity of a $πK N$ gas mixture in the medium
Creators: name: Kalikotay, Pallavi
name: Chaudhuri, Nilanjan
name: Ghosh, Snigdha
name: Gangopadhyaya, Utsab
name: Sarkar, Sourav
Publisher: name: arXiv
Year: 2019
Subjects: subject: Nuclear Theory (nucl-th)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The temperature and density dependence of the relaxation times, thermal conductivity, shear viscosity and bulk viscosity for a hot and dense gas consisting of pions, kaons and nucleons have been evaluated in the kinetic theory approach. The in-medium cross-sections for $ππ$, $πK$ and $πN$ scatterings were obtained by using complete propagators for the exchanged $ρ$, $σ$, $K^*$ and $Δ$ excitations derived using thermal field theoretic techniques. Notable deviations can be observed in the temperature dependence of $η$, $ζ$ and $λ$ when compared with corresponding calculations using vacuum cross-sections usually employed in the literature. The value of the specific shear viscosity $η/s$ is found to be in agreement with available estimates.
description: Version published in European Physical Journal A
Using small-angle scattering to guide functional magnetic nanoparticle design
Creators: name: Honecker, Dirk
name: Bersweiler, Mathias
name: Erokhin, Sergey
name: Berkov, Dmitry
name: Chesnel, Karine
name: Venero, Diego Alba
name: Qdemat, Asma
name: Disch, Sabrina
name: Jochum, Johanna K.
name: Michels, Andreas
name: Bender, Philipp
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Chemical Physics (physics.chem-ph)
subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: Magnetic nanoparticles offer unique potential for various technological, biomedical, or environmental applications thanks to the size-, shape- and material-dependent tunability of their magnetic properties. To optimize particles for a specific application, it is crucial to interrelate their performance with their structural and magnetic properties. This review presents the advantages of small-angle X-ray and neutron scattering techniques for achieving a detailed multiscale characterization of magnetic nanoparticles and their ensembles in a mesoscopic size range from 1 to a few hundred nanometers with nanometer resolution. Both X-rays and neutrons allow the ensemble-averaged determination of structural properties, such as particle morphology or particle arrangement in multilayers and 3D assemblies. Additionally, the magnetic scattering contributions enable retrieving the internal magnetization profile of the nanoparticles as well as the inter-particle moment correlations caused by interactions within dense assemblies. Most measurements are used to determine the time-averaged ensemble properties, in addition advanced small-angle scattering techniques exist that allow accessing particle and spin dynamics on various timescales. In this review, we focus on conventional small-angle X-ray and neutron scattering (SAXS and SANS), X-ray and neutron reflectometry, gracing-incidence SAXS and SANS, X-ray resonant magnetic scattering, and neutron spin-echo spectroscopy techniques. For each technique, we provide a general overview, present the latest scientific results, and discuss its strengths as well as sample requirements. Finally, we give our perspectives on how future small-angle scattering experiments, especially in combination with micromagnetic simulations, could help to optimize the performance of magnetic nanoparticles for specific applications.
description: 34 pages, 16 figures
Two-Loop Superstrings II, The Chiral Measure on Moduli Space
Creators: name: D'Hoker, Eric
name: Phong, D. H.
Publisher: name: arXiv
Year: 2001
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Complex Variables (math.CV)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: A detailed derivation from first principles is given for the unambiguous and slice-independent formula for the two-loop superstring chiral measure which was announced in the first paper of this series. Supergeometries are projected onto their super period matrices, and the integration over odd supermoduli is performed by integrating over the fibers of this projection. The subtleties associated with this procedure are identified. They require the inclusion of some new finite-dimensional Jacobian superdeterminants, a deformation of the worldsheet correlation functions using the stress tensor, and perhaps paradoxically, another additional gauge choice, ``slice \hatμchoice'', whose independence also has to be established. This is done using an important correspondence between superholomorphic notions with respect to a supergeometry and holomorphic notions with respect to its super period matrix. Altogether, the subtleties produce precisely the corrective terms which restore the independence of the resulting gauge-fixed formula under infinitesimal changes of gauge-slice. This independence is a key criterion for any gauge-fixed formula and hence is verified in detail.
description: 64 pages, no figures
Resistance Management and Sustainable Use of Agricultural Biotechnology
Creators: name: Frisvold, George
name: Frisvold, George
Publisher: name: Unknown
Year: 2010
Subjects: Agribusiness
Agricultural and Food Policy
Agricultural Finance
Environmental Economics and Policy

description: Crop biotechnologies deployed worldwide primarily possess traits for herbicide resistance, insect resistance, or both. While the economic and environmental benefits of these traits can be significant, they are threatened by evolution of insect and weed resistance. Failure to develop successful resistance management strategies will, not only deprive current adopters of the benefits of crop biotechnology, it will also have a powerful negative demonstration effect on regions contemplating biotechnology approval. This paper reviews the features and performance of resistance management strategies for insect-resistant (IR) and herbicide-resistant (HR) transgenic crops. Key factors determining success are technology attributes and institutional capacity. Trangenic IR and HR crops will be more sustainably deployed if they are embedded in integrated pest management (IPM) and integrated weed management (IWM) with strong, outward extension linkages to farmers and backward linkages to research institutions. Public and private plant breeding can play a critical role in developing stacked traits that reduce overreliance on single chemical compounds. While extension plays an obvious role in disseminating information, it can also serve two other important functions. First, it can facilitate farmer collective action for area-wide resistance management. Second, it can provide government agencies with information needed to increase the flexibility and cost-effectiveness of resistance management regulations. The paper concludes by discussing current capacity constraints and future institutional capacity needs of developing countries for successful IPM and IWM.
Migration and the Sending Economy: A Disaggregated Rural Economy Wide Analysis
Creators: name: Taylor, J. Edward
name: Dyer, George
name: Taylor, J. Edward
name: Dyer, George
Publisher: name: Unknown
Year: 2006
Subjects: Community/Rural/Urban Development
International Development
Labor and Human Capital

description: Most economic research on migration impacts in source economies focuses on the households that send migrants and receive remittances, ignoring linkages that transmit migration’s influences to others in local and regional economies. This paper offers an alternative, disaggregated economy wide perspective on migration and its impacts. It presents and illustrates a methodology to understand not only migration’s effects on migrant-sending households, but also the ways in which these households transmit influences of migration to others in the source economy, via local market linkages. Data from the 2003 Mexico National Rural Household Survey are used to calibrate a series of interacting rural household models nested within a general equilibrium model of the whole rural economy. This modeling approach combines the strengths of micro models focusing on rural households with economy wide models, which highlight economic linkages among economic actors but traditionally have been implemented at an aggregate (national or multi-national) level. It explicitly takes into account the market structures that govern economic interactions and promote or retard the spread of migration effects within sending economies. Simulations reveal that the impacts of international migration and remittances on sending areas may be positive or negative and depend critically on the ways in which local markets transmit impacts among households.