cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Analysis of Mode I Fatigue Crack Growth in Carbon Fibre Reinforced Polymer Laminates
Creators: name: O'Gara, Joseph Anthony
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Aerospace structures
Aerospace materials

description: With the growing use of composites in aircraft structures to decrease weight, there is a necessity to apply a damage tolerant lifing methodology to increase safety. The strainenergy release rate (SERR) range (Delta sqrt(G)) has been shown to itself not be a similitude metric in literature (like Delta K for metals), however it can be used as the basis for the modified Hartman-Schijve similitude parameter (Delta kappa) which has solid support for being such a parameter. Most literature on damage tolerance in composite materials study delamination growth in double cantilever beam (DCB) specimens which only look at damage growth in a single dimension and therefore does not take into account the growth interactions of intralaminar and interlaminar damage in a multi-directional ply layup as would be used in real aerospace applications. This study examined these interconnected damage growth mechanisms in two multi-directional layups in Compact Tension specimens, with and without pre-existing damage in order to examine SERR. This work has shown that SERR range appeared to have a connection to increasing damage across the lead crack cross-section in both damaged and undamaged specimens. Baseline specimens had increased delamination lengths at higher SERR ranges, and compression damaged specimens had increasing intralaminar crack quantities in plys perpendicular to the lead crack direction. Regardless, large amounts of scatter was seen in the 18 tests carried out, well above that seen in DCB test literature. Analysis through the average SERR per cycle (G*) proved to produce less scatter and more intuitive results, and may work well as a similitude parameter. This study has shown more complex fatigue scenarios in composite materials beyond 1D delamination growth must also be understood for any similitude parameters proposed. This will allow for more well rounded understanding of composite material fatigue performance in aerospace applications.
sj-pdf-2-pic-10.1177_09544062211027199 - Supplemental material for Machine learning approach to improve vapor recovery: Prediction and frequency converter with a new vapor recovery system
Creators: name: Liu, Yajun
name: Zhang, Shenchao
name: Liu, Zhendong
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 99999 Engineering not elsewhere classified
subject: FOS: Other engineering and technologies

description: Supplemental material, sj-pdf-2-pic-10.1177_09544062211027199 for Machine learning approach to improve vapor recovery: Prediction and frequency converter with a new vapor recovery system by Yajun Liu, Shenchao Zhang and Zhendong Liu in Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
Tertiary education decisions of immigrants and non-immigrants in Italy: an empirical approach
Creators: name: LALLA, Michele
name: FREDERIC, Patrizio
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� di Modena e Reggio Emilia
Year: 2020

description: Decisions regarding tertiary schooling are important for young people as it affects future opportunities for employment and social mobility. Tertiary schooling also plays a role in the social integration of immigrants. To determine differences in the choices of young Italian natives and immigrants concerning education, two datasets for 2009 were used: European Union Statistics on Income and Living Conditions (EU-SILC) and the Italian Survey on Income and Living Conditions of Families with Immigrants in Italy (IT-SILCFI). Analysing a sub-sample of young Italians and immigrants, between 20 and 29 years of age, the association of both individual and family explanatory variables in the choice of secondary schooling (yes/no) was assessed using logistic models. The results show that young immigrants tend to interrupt their schooling earlier than their Italian peers. However, differences disappear when family background and parental characteristics are taken into account.
ALGORITHMS FOR DEGREE-CONSTRAINED SUBGRAPHS AND APPLICATIONS
Creators: name: Ferdous, S M
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Applied computing not elsewhere classified
Applied mathematics not elsewhere classified
Computational complexity and computability

description: A degree-constrained subgraph construction (DCS) problem aims to find an optimal spanning subgraph (w.r.t an objective function) subject to certain degree constraints on the vertices. DCS generalizes many combinatorial optimization problems such as Matchings and Edge Covers and has many practical and real-world applications. This thesis focuses on DCS problems where there are only upper and lower bounds on the degrees, known as b-matching and b-edge cover problems, respectively. We explore linear and submodular functions as the objective functions of the subgraph construction.

The contributions of this thesis involve both the design of new approximation algorithms for these DCS problems, and also their applications to real-world contexts.
We designed, developed, and implemented several approximation algorithms for DCS problems. Although some of these problems can be solved exactly in polynomial time, often these algorithms are expensive, tedious to implement, and have little to no concurrency. On the contrary, many of the approximation algorithms developed here run in nearly linear time, are simple to implement, and are concurrent. Using the local dominance framework, we developed the first parallel algorithm submodular b-matching. For weighted b-edge cover, we improved the classic Greedy algorithm using the lazy evaluation technique. We also propose and analyze several approximation algorithms using the primal-dual linear programming framework and reductions to matching. We evaluate the practical performance of these algorithms through extensive experimental results.

The second contribution of the thesis is to utilize the novel algorithms in real-world applications. We employ submodular b-matching to generate a balanced task assignment for processors to build Fock matrices in the NWChemEx quantum chemistry software. Our load-balanced assignment results in a four-fold speedup per iteration of the Fock matrix computation and scales to 14,000 cores of the Summit supercomputer at Oak Ridge National Laboratory. Using approximate b-edge cover, we propose the first shared-memory and distributed-memory parallel algorithms for the adaptive anonymity problem. Minimum weighted b-edge cover and maximum weight b-matching are shown to be applicable to constructing graphs from datasets for machine learning tasks. We provide a mathematical optimization framework connecting the graph construction problem to the DCS problem.
Testing threshold cointegration in Wagner's Law: the role of military spending
Creators: name: CAVICCHIOLI, MADDALENA
name: PISTORESI, Barbara
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� di Modena e Reggio Emilia
Year: 2016

description: This paper uses historical data since mid-19th century to test the validity of Wagner's Law for the Italian economy. Unlike the previous studies, we accommodate possible nonlinear
asymmetric effects of total goverment spending and GDP toward their long-run equilibrium. Our results show the presence of a threshold cointegrating relationship between the two variables
with significantly different error correction adjustments in normal and extreme regimes. Particularly, we find the validity of Wagner's Law from 1862 to 2009, only when we take into account strong nonlinear responses of government spending during the WWI and WWII period. Robustness checks clearly recognize nonlinear behaviour of government expenditure driven by military
spending
Should we fear or hope for Chinese acquisitions? Evidence from Italy
Creators: name: PABA, Sergio
name: PAROLINI, Cinzia
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� di Modena e Reggio Emilia
Year: 2020

description: In 2016, Chinese outward FDI exceeded inward investment flows, making the country a net exporter of capital, like the large advanced economies. The majority of Chinese investments are M&As, with the aim to acquire strategic assets (advanced technology and know-how) and access to markets (brands). The rapid growth of Chinese direct investments has raised many concerns among the advanced economies. The most important one is the fear that these investments will not produce the positive effects on the host economy typically associated with FDI from advanced countries, but a one-sided transfer of technology and know-how from acquired European firms to China.
However, there does not seem to be any evidence so far of a negative impact of Chinese investors on the acquired companies and the host economies. In particular, accurate studies on the pre and post-acquisition behaviour of European companies acquired by Chinese investors are still lacking.
This research intends to offer a contribution in this direction by providing new and detailed data on Chinese investments in Italy and by trying a first and tentative assessment of the performance of Italian companies recently acquired or controlled by Chinese investors. To this purpose, we have built an original database gathering detailed company information on more than 7.000 Italian companies with Chinese shareholders. Second, we have studied the pre- and post- acquisition performance of 198 Italian target firms.

Overall the results appear quite positive. Roughly 2/3 of the acquired companies have seen an increase in turnover, total assets, and shareholder?s funds and 50% has had an increase in fixed assets. Revenues show a decrease soon after the acquisition followed by a steady growth starting from the third year. Employment and profitability results appear more balanced. The number of companies which has registered an increase in employment is roughly similar to the number
 of those that have experienced a decline, but there is some evidence that Chinese shareholders prefer to avoid layoffs even in front of severe reductions in turnover. This attitude is reflected in profitability, which especially in the first years soon after the acquisition tend to decrease, followed by a recovery in the following years. Overall, the analysis suggest a long
term orientation of Chinese acquirers which deserves further investigation.
Accounting and economic measures: An integrated theory of capital budgeting
Creators: name: MAGNI, Carlo Alberto
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� di Modena e Reggio Emilia
Year: 2009

description: Accounting measures are traditionally considered not significant from an economic point of view. In particular, accounting rates of return are often regarded economically meaningless or, at the very best, poor surrogates for the IRR, which is held to be ?the? economic yield. Likewise, residual income does not enjoy, in general, periodic consistency with the project NPV, so residual income maximization is not equivalent to NPV maximization. This paper shows that the opposition accounting/economic is artificial and, taking a capital budgeting perspective, illustrates the strong (formal and conceptual) connections existing between economic measures and accounting measures. In particular, the average accounting rate of return is the correct economic yield of a project; the traditional IRR is (whenever it exists) only a particular case of it. The average accounting rate generates a decision rule which is logically equivalent to the NPV rule for both accept/reject decisions and project ranking. The paper also shows that maximization of the simple arithmetic mean of residual incomes is equivalent to NPV maximization, owing to its periodic consistency in the sense of Egginton (1995). Such an index may then be used for incentive compensation as well. Moreover, asset pricing may be interpreted in accounting terms as the process whereby the market determines the income impact on the assets? value. As a result, the paper harmonizes the notions of accounting rate of return, internal rate of return, residual income, net present value: they are just different ways of cognizing the same notion. This conciliation stems in a rather natural way from three sources: (i) a fundamental accounting identity, which links income and cash flow in a comprehensive way, (ii) the definition of Chisini mean, (iii) a notion of residual income which takes account of the ?real? (comprehensive) cost of capital.
Option based forecasts of volatility: An empirical study in the DAX index options market
Creators: name: MUZZIOLI, Silvia
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� di Modena e Reggio Emilia
Year: 2008

description: Option based volatility forecasts can be divided into ?model dependent? forecast, such as implied volatility, that is obtained by inverting the Black and Scholes formula, and ?model free? forecasts, such as model free volatility, proposed by Britten-Jones and Neuberger (2000), that do not rely on a particular option pricing model. The aim of this paper is to investigate the unbiasedness and efficiency in predicting future realized volatility of the two option based volatility forecasts: implied volatility and model free volatility. The comparison is pursued by using intradaily data on the Dax-index options market. Our results suggest that Black-Scholes volatility subsumes all the information contained in historical volatility and is a better predictor than model free volatility.
A poset-based analysis of regional innovation at European level
Creators: name: DAMIANI, FILIPPO
name: MUZZIOLI, Silvia
name: De Baets, B.
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� di Modena e Reggio Emilia
Year: 2021

description: This paper examines the performance of regional innovation across 220 European regions. First, a cluster analysis is performed in order to detect patterns of comparable regions. Subsequently, a poset-based approach is adopted to obtain a ranking of the different clusters of European regions. The outcome is compared with the results described in the Regional Innovation Scoreboard 2019. Useful insights for policymakers are obtained.
BUILDING SUSTAINABLE DIGITAL PRESERVATION A Typology of Digital Collections
Creators: name: Brower, Donald
name: Yu, Helen Hockx-
Publisher: name: University of Notre Dame
Year: 2019

description: The digital preservation function in an academic research library is chiefly concerned with the ongoing access to its digital collections. This paper has been accepted by iPres 2019. It describes the work in developing a typology of digital collections at Hesburgh Libraries, University of Notre Dame, which serves as a framework for planning and building a sustainable Digital Preservation program.
Design and Fabrication of On-Chip High Power Optical Phased Arrayed Waveguides
Creators: name: Lee, Yunjo
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Nanophotonics
Photonics, optoelectronics and optical communications
Photonic and electro-optical devices, sensors and systems (excl. communications)

description: The Complementary Metal-Oxide-Semiconductor (CMOS) industry has seen tremendous developments over the past several decades and state-of-the-art fabrication technology has likewise been developed. This fabrication technology develops Photonic Integrate Circuits (PIC) which can guide, split, and modulate photonic waves within a small chip scale. On-chip optical phased arrayed waveguides that operate at high power overcome the current limitations of some conventional applications. This paper discusses two applications of on-chip optical waveguide systems: optical phased array (OPA)-based Light Detection and Range (LiDAR) and waveguide array Dielectric Laser Accelerator (DLA). Both the LiDAR and DLA structures require similar properties to achieve optimized performance. These properties are as follows: capability to handle high power, the ability to split the high power evenly through several waveguide branches and distribute the same degree of optical phase on each branch at specific spatial locations, efficient designs of active phase-tuning structures, and the ability to re-combine several waveguide branches into the sub-wavelength pitch spacing array without crosstalk. Additionally, both structures must resolve specific fabrication challenges on each waveguide component. To address these issues, this paper discusses the theoretical reviews of OPA, the Laser-Induced Damage Threshold (LIDT) of optical waveguide materials, and techniques to reduce crosstalk in sub-wavelength pitch size arrays, such as extreme skin-depth (e-skid) waveguides and propagation constant mismatched waveguides. We propose optimized designs for both OPA-based LiDAR and waveguide array DLA with passive and active devices, respectively, and explain the optimized parameters and its simulation results for each component from the full layout of devices. Furthermore, we discuss the fabrication process of the devices and show the resolutions of fabrication challenges, such as trapping void gaps in an e-skid array structure, writing errors of electron beam lithography of large dense patterns, and silicon nitride to silicon hybrid waveguide pattern alignments. Next, we show the experimental setups and the measurement results from the fabricated OPA devices and analyze the results. Finally, this paper concludes the research of the proposed devices and proposes more designs for both OPA-based LiDAR and waveguide arrayed DLA structures that can further increase increase its performance.
L?evoluzione del sistema locale del Parmigiano Reggiano
Creators: name: BERTOLINI, Paola
name: GIOVANNETTI, Enrico
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� degli Studi di Modena e Reggio Emilia
Year: 2020

description: Il lavoro esamina i principali cambiamenti intervenuti nella filiera del parmigiano reggiano (FPR) nell?ultimo quindicennio e si concentra soprattutto sulle strutture casearie e sulle reti di imprese che vengono organizzate da tali strutture. Il lavoro insiste nel descrivere la complessit� del sistema produttivo, dati i vincoli imposti dal rispetto delle regole di qualit� e la contemporanea difficolt� di coordinare il vasto insieme di imprese che concorrono a definire l?offerta. Si esamina il ruolo fondamentale giocato dalle istituzioni di coordinamento dei produttori nel controllo delle regole comuni di produzione; si mette in evidenza la funzione cruciale della cooperazione nel generare network di imprese in grado di modellarsi alle esigenze espresse dai mercati ma anche di mantenere uno spazio di produzione per territori ed imprese pi� deboli. Ne emerge la complessit� di una filiera di successo, la cui evoluzione ha progressivamente adattato le strutture di caseificazione e le loro reti di imprese alle esigenze poste da mercati pi� estesi e competitivi.
Investment in early education and job market signaling
Creators: name: BRIGHI, Luigi
name: D'Amato, M.
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� degli Studi di Modena e Reggio Emilia
Year: 2020

description: We consider a signaling model of the job market in which workers, before choosing their level of education, have the opportunity to undertake an unobservable investment in activities aimed at saving on future education costs. Suciently high levels of investments allow a low productivity worker to cut the marginal costs of signaling below the high productivity worker's. In contrast to standard results, we nd that the equilibrium outcome will depend on the relative magnitude of workers' average productivity. If average productivity exceeds a certain threshold the most plausible solution is a rened pooling equilibrium in which all workers attain the same level of over-education and are paid the same wage. Otherwise, the most plausible outcome is the standard least cost separating equilibrium in which only high ability workers are over-educated.
Immigrants, schooling and background. Cross-country evidence from PISA 2006.
Creators: name: MURAT, Marina Giovanna
name: FERRARI, Davide
name: FREDERIC, Patrizio
name: PIRANI, Giulia
Publisher: name: Dipartimento di Economia Politica - Universit� di Modena e Reggio Emilia
Year: 2010

description: Using data from PISA 2006, we examine the performance of immigrant students indifferent international educational environments. Our results show smaller immigrant gaps ?differences in scores with respect to natives - where educational systems are more flexible andstudents? mobility between courses and school programs is higher. Unlike previous studies, ouranalysis reveals no direct relation between these gaps and education models, be they comprehensiveor tracking, adopted by countries.
Is it money or brains? The determinants of intra-family decision power
Creators: name: BERTOCCHI, Graziella
name: BRUNETTI, MARIANNA
name: TORRICELLI, Costanza
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� di Modena e Reggio Emilia
Year: 2012

description: We empirically study the determinants of intra-household decision power with respect to economic and financial choices using a direct measure provided in the 1989-2010 Bank of Italy Survey of Household Income and Wealth. Focusing on a sample of couples, we evaluate the effect of each spouse's characteristics, household characteristics, and background variables. We find that the probability that the wife is in charge is affected by household characteristics such as family size and total income and wealth, but more importantly that it increases with the difference between hers and her husband's characteristics in terms of age, education, and income. The main conclusion is that decision-making power over family economics is not only determined by strictly economic differences, as suggested by previous studies, but also by differences in human capital and experience. Finally, exploiting the time dimension of our dataset, we show that this pattern is increasing over time.
Osmosis Poster Presentation At Oz 2018, Wenden
Creators: name: Twomey, Barry
Publisher: name: Zenodo
Year: 2018
Subjects: REACH
Surface Treatment
Primer
CoBlast

description: ENBIO have developed a novel, green, ambient temperature blast coating technique known as CoBlast. It uses a co-incident blast stream of abrasive and coating media to simultaneously remove the metal’s passivating layer while depositing a coating on the newly-exposed reactive metal surface. The process is carried out at room temperature and pressure using dry-compressed air. The process is currently used to apply thermal control coatings for Space for ESA as part of the Solar Orbiter mission.

ENBIO are investigating the use of the CoBlast process to apply REACH compliant adhesive primers for the Space sector as part of a H2020 activity - OSMOSIS (757088). To determine the adhesion promotion benefits of the CoBlast coating, a modified lap shear test was conducted and samples were compared against commercial conversion coatings. CoBlast primed surfaces exhibit cohesive failure, for each exposure environment and can achieve equivalent tensile strengths to commercial conversion coatings.
description: Poster presentation at OZ Materials Workshop 2018, Wenden, Germany
sj-docx-2-dhj-10.1177_20552076211045579 - Supplemental material for Exploring the relationship between the usability of a goal-oriented mobile health application and non-usage attrition in patients with multimorbidity: A blended data analysis approach
Creators: name: Tahsin, Farah
name: Tracy, Shawn
name: Chau, Edward
name: Harvey, Sarah
name: Loganathan, Mayura
name: McKinstry, Brian
name: Mercer, Stewart W
name: Nie, Jason
name: Ramsay, Tim
name: Thavorn, Kednapa
name: Palen, Ted
name: Sritharan, Jasvinei
name: Steele Gray, Carolyn
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: Cardiology
subject: 110306 Endocrinology
subject: FOS: Clinical medicine
subject: 110308 Geriatrics and Gerontology
subject: 111099 Nursing not elsewhere classified
subject: 111299 Oncology and Carcinogenesis not elsewhere classified
subject: 111702 Aged Health Care
subject: 111799 Public Health and Health Services not elsewhere classified
subject: 99999 Engineering not elsewhere classified
subject: FOS: Other engineering and technologies
subject: Anthropology
subject: FOS: Sociology
subject: 200299 Cultural Studies not elsewhere classified
subject: FOS: Other humanities
subject: 89999 Information and Computing Sciences not elsewhere classified
subject: FOS: Computer and information sciences
subject: 150310 Organisation and Management Theory
subject: FOS: Economics and business
subject: Science Policy
subject: 160512 Social Policy
subject: FOS: Political science
subject: Sociology

description: Supplemental material, sj-docx-2-dhj-10.1177_20552076211045579 for Exploring the relationship between the usability of a goal-oriented mobile health application and non-usage attrition in patients with multimorbidity: A blended data analysis approach by Farah Tahsin, Shawn Tracy, Edward Chau, Sarah Harvey, Mayura Loganathan, Brian McKinstry, Stewart W Mercer, Jason Nie, Tim Ramsay, Kednapa Thavorn, Ted Palen, Jasvinei Sritharan and Carolyn Steele Gray in Digital Health
sj-pdf-7-cri-10.1177_25160435211044586 - Supplemental material for When no news is bad news: Improving diagnostic testing communication through patient engagement
Creators: name: Zomerlei, Terri
name: Carraher, Amanda
name: Chao, Albert
name: Vink, Shonda
name: Chandawarkar, Rajiv
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 220106 Medical Ethics
subject: FOS: Health sciences

description: Supplemental material, sj-pdf-7-cri-10.1177_25160435211044586 for When no news is bad news: Improving diagnostic testing communication through patient engagement by Terri Zomerlei, Amanda Carraher, Albert Chao, Shonda Vink and Rajiv Chandawarkar in Journal of Patient Safety and Risk Management
Orpheus User Experience Evaluation Results From Public Tests At Josephs®
Creators: name: Silzle, Andreas
name: Schmidt, Rebekka
name: Bleisteiner, Werner
Publisher: name: Zenodo
Year: 2018
Subjects: Object-based Audio
User Experience

description: Object-based audio (OBA) provides many new features for the end-user. The quality of end user experience (QoX) covers several different dimensions. Here the relevant dimensions are identified and specific questions to cover these dimensions are developed. For this, two different user or application scenarios are provided. The investigation was conducted in dialog and as joint development with the open innovation lab JOSEPHS®.
description: Poster prepared for the 2nd ORPHEUS Workshop. Full results are published in ORPHEUS deliverable D5.6 Report on Audio subjective tests and User tests.
Additional file 1 of In vitro and in vivo toxicity of carbon dots with different chemical compositions
Creators: name: Kuznietsova, Halyna
name: Géloën, Alain
name: Dziubenko, Nataliia
name: Zaderko, Alexander
name: Alekseev, Sergei
name: Lysenko, Vladimir
name: Skryshevsky, Valeriy
Publisher: name: figshare
Year: 2024
Subjects: subject: Space Science
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Marine Biology
subject: Cancer
subject: Hematology

description: Additional file1 (DOCX 199 KB)
Taking a Chance: A Narrative Inquiry of Mexican Origin Immigrants Living in the American Midwest
Creators: name: Sadowski, Claudia Felisa
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Multicultural, intercultural and cross-cultural studies
Sociolinguistics

description: The purpose of this narrative inquiry is to portray a complex picture of Mexican origin immigrants living in the United States. This study portrays their lives, their experiences, and their thought processes from the moment they made their life-changing decision to immigrate to the USA until their current realities of life in the American Midwest. The stories discussed and the interpretations made are the result of oral interviews with four families conducted in their native language of Spanish. The personal experiences of the seven participants are familiar to thousands of immigrants who arrive to the USA daily. Although these immigrants experience a great deal of hardship, they also develop a strong layer of resilience and solidarity with each other. The study also provides an in-depth analysis of key works of literature written by, and about, Mexican and Hispanic immigrants. These books are: Con Respeto: Bridging the Distances Between Culturally Diverse Families and Schools, An Ethnographic Portrait (Valdés, 1996); Of Borders and Dreams: A Mexican-American Experience of Urban Education (Carger, 1996); The Circuit: Stories from the Life of a Migrant Child (Jiménez, 1997); The Undocumented Americans (Cornejo Villavicencio, 2020); and The House on Mango Street (Cisneros, 1984). The experiences portrayed within these masterful works are then connected to those of the participants of this narrative inquiry. Additionally, connections are made by the researcher, a scholar of Mexican origin living in the American Midwest. This work illustrates why people choose to emigrate, their family and gender roles, their focus on educating the next generation, and their strong religious faith. It also depicts their challenges, fears, and resilience as they navigate living “between two worlds.”
sj-pdf-1-asr-10.1177_00031224211042326 – Supplemental material for Relative to Whom? Comment on “Relative Education and the Advantage of a College Degree”
Creators: name: Furey, Jane
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: Sociology
subject: FOS: Sociology

description: Supplemental material, sj-pdf-1-asr-10.1177_00031224211042326 for Relative to Whom? Comment on “Relative Education and the Advantage of a College Degree” by Jane Furey in American Sociological Review
Emotional Intelligence and risk taking in investment decision-making
Creators: name: RUBALTELLI, Enrico
name: Agnoli, S.
name: Rancan, M.
name: Pozzoli, T.
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� di Modena e Reggio Emilia
Year: 2015

description: Previous work on investment decision-making suggested that emotions prevent investors from taking risks and from investing in a rational way, whereas other work found that there is great variability in people?s ability to manage and use emotional feedbacks. We hypothesized that people with high trait emotional intelligence should be more willing, than people with low trait emotional intelligence, to accept risks when making an investment. Data supported a model in which trait emotional intelligence predicted willingness to invest both when the expected value is positive and when it is negative. The effect of trait emotional intelligence was significant even controlling for other variables, like attitude toward economic risk and money attitude. We believe that these results help improving the understanding of how emotions influence investors? behavior and show that their role is not always detrimental but depends on the interplay between individual differences and situational factors.
sj-pdf-1-spr-10.1177_02654075211041539 – Supplemental Material for Support gaps during the COVID-19 pandemic: Sex differences and effects on well-being
Creators: name: Holmstrom, Amanda J.
name: Shebib, Samantha J.
name: Boumis, Josephine K.
name: Allard, Amanda
name: Mason, Adam J.
name: Lim, Jong In
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 200199 Communication and Media Studies not elsewhere classified
subject: FOS: Media and communications
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental Material, sj-pdf-1-spr-10.1177_02654075211041539 for Support gaps during the COVID-19 pandemic: Sex differences and effects on well-being by Amanda J. Holmstrom, Samantha J. Shebib, Josephine K. Boumis, Amanda Allard, Adam J. Mason and Jong In Lim in Journal of Social and Personal Relationships
Spending Policies of Italian Banking Foundations
Creators: name: PATTARIN, Francesco
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� di Modena e Reggio Emilia
Year: 2018

description: Italian banking foundations are important institutional investors and not-forprofit institutions in Italy. Foundations finance their activities with the returns they get by investing their endowments on the financial markets. The financial management of foundations has to meet two conflicting aims: maintaining a consistent and sufficient spending level in the short run and preserving the real value of the endowment fund in the long run. During the financial crisis, the tension between these aims has strongly emerged. This paper is about the results of an analysis of the spending decisions of ten main foundations, from 2004 to 2016, based on balance sheet and market value data. We propose an error-component model that allows to evaluate the relative importance of spending stability versus preserving the endowment value. Our estimates reveal that, on average, foundations followed stable spending policies across the financial crises, as they did not change their long-term rate of consumption of assets but gradually started to smooth spending over the short term. Because their granting activity sharply declined from 2008 to 2012, the joint effect of these decisions was to persistently reduce spending until 2016. This conservative stance, if carried over beyond the short-term, may violate intergenerational neutrality.
The effectiveness of insider trading regulations: The case of the Italian tender offers
Creators: name: FERRETTI, Riccardo
name: Pattitoni, P.
name: Salinas, A.
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� di Modena e Reggio Emilia
Year: 2015

description: This study analyzes the effectiveness of the Market Abuse Directive (MAD) in reducing the possible profits of insider trading during voluntary tender offers with the purpose of delisting initiated by controlling shareholders in Italy. Our results suggest that the introduction of the MAD did not produce appreciable effects on the magnitude of abnormal returns and volumes noted in the period preceding the announcement of a tender offer. However, a regression analysis reveals that the MAD has changed the manner in which certain corporate characteristics influence the capacity of insiders to achieve profits. In particular, in the post-MAD period, the market reaction to tender offer announcements tends to be greater for bigger firms. On the other hand, the effect of ownership concentration has become virtually null. We interpret the results in light of the economic problem of the potential insider who chooses the optimal level of insider trading by considering the marginal costs and benefits of the illegal activity.
Nonresponse and measurement errors in income: matching individual survey data with administrative tax data
Creators: name: LALLA, Michele
name: CAVICCHIOLI, MADDALENA
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� di Modena e Reggio Emilia
Year: 2020

description: A (local) survey on income carried out in the city of Modena in 2002 generated four categories of units: interviewees, refusals, noncontacts, and sometimes unused reserves. In this study, all units were matched with their corresponding records in the Ministry of Finance 2002 databases for fiscal incomes of 2001 and the 2001 Census. Considering all four categories, participation increased by education level and activity status, while it decreased among low or high incomes. Considering interviewees only, over- and under-reporting, as well as measurement errors, were investigated by comparing the surveyed income with fiscal income. Age and level of income were the main covariates affecting the behaviours of taxpayers.
COMPUTER VISION BASED ROBUST LANE DETECTION VIA MULTIPLE MODEL ADAPTIVE ESTIMATION TECHNIQUE
Creators: name: Fakhari, Iman
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Mechanical engineering not elsewhere classified

description: The lane-keeping system in autonomous vehicles (AV) or even as a part of the advanced driving assistant system (ADAS) is known as one of the primary options of AVs and ADAS. The developed lane-keeping systems work on either computer vision or deep learning algorithms for their lane detection section. However, even the strongest image processing units or the robust deep learning algorithms for lane detection have inaccuracies during lane detection under certain conditions. The source of these inaccuracies could be rainy or foggy weather, high contrast shades of buildings and objects on-street, or faded lines. Since the lane detection unit of these systems is responsible for controlling the steering, even a momentary loss of lane detection accuracy could result in an accident or failure. As mentioned, different lane detection algorithms have been presented based on computer vision and deep learning during the last few years, and each one has pros and cons. Each model may have a better performance in some situations and fail in others. For example, deep learning-based methods are vulnerable to new samples. In this research, multiple models of lane detection are evaluated and used together to implement a robust lane detection algorithm. The purpose of this research is to develop an estimator-based Multiple Model Adaptive Estimation (MMAE) algorithm on the lane-keeping system to improve the robustness of the lane detection system. To verify the performance of the implemented algorithm, the AirSim simulation environment was used. The test simulation vehicle was equipped with one front camera and one back camera used to implement the proposed algorithm. The front camera images are used for detecting the lane and the offset of the vehicle and center point of the lane. The rear camera, which offered better performance in lane detection, was used as an estimator for calculating the uncertainty of each model. The simulation results showed that combining two implemented models with MMAE performed robustly even in those case studies where one of the models failed. The proposed algorithm was able to detect the failures of either of the models and then switch to another good working model to improve the robustness of the lane detection system. However, the proposed algorithm had some limitations; it can be improved by replacing PID controller with an MPC controller in future studies. In addition, in the presented algorithm, two computer vision-based algorithms were used; however, adding a deep learning-based model could improve the performance of the proposed MMAE. To have a robust deep learning-based model, it is suggested to train the network based on AirSim output images. Otherwise, the network will not work accurately due to the differences in the camera's location, camera configuration, colors, and contrast.
Credit, venture capital and regional economic growth
Creators: name: PISTORESI, Barbara
name: VENTURELLI, Valeria
Publisher: name: Dipartimento di Economia Politica - Universit� di Modena e Reggio Emilia
Year: 2012

description: In this paper we investigate the role of credit and venture capital investments on regional economic growth. The dataset consists of a panel of 53 regions belonging to three countries, Germany, Italy and Spain, for the period 1995?2008. To avoid a problem of endogeneity, we estimate a dynamic panel using the generalised method of moments (GMM). The results underline the important role played by different types of financial intermediaries in regional economic growth: both mutual and commercial banks areimportant for regional growth but the role of mutual banks is greater in economically deprived areas [EDAs]. Similar results are obtained for the venture capital investments.
Transcriptional mechanisms governing the exit of mouse embryonic stem cells (mESCs) from the pluripotency ground state
Creators: name: Navarra, Angelica
Publisher: name: Università degli Studi di Napoli Federico II
Year: 2015

description: Embryonic stem cells (ESCs) are non-specialized cells able to self-renew and to differentiate in vitro giving rise to all cell types of an organism, mimicking the events that take place in vivo during the early stages of the development. For these characteristics, a deep knowledge of the mechanisms that govern ESC fate is fundamental for both basic research and cell replacement therapy. In the recent years, enormous progresses have been made in the understanding of ESC pluripotency, while the mechanisms governing the ESC differentiation and, in particular, the mechanisms governing the exit from the pluripotent state and the first steps of differentiation are still not definitively understood. In this context, our group has developed a systematic approach based on the screening of a shRNA library to identify factors governing ESC fate. Among the identified genes, we have found the high mobility group AT-hook 2 (HMGA2), a non-histone chromatin factor that is widely expressed during embryogenesis and is known to have important roles in development and cell adhesion/differentiation processes. We have found that the knockdown of HMGA2 promotes the maintenance of pluripotent state. Indeed, in conditions promoting differentiation, HMGA2 knock-down cells maintain the expression of stemness markers Oct3/4, Nanog. Interestingly, we have found that the expression of stemness markers is accompanied by a decrease of neuro-ectodermal marker Sox1.  A more detailed analysis of the phenotype induced by HMGA2 suppression has shown that the block of differentiation occurs during first steps, i.e. the transition from ESCs to epiblast stem cells (EpiSCs). The same effects, accompanied by a more dramatic phenotype, were observed upon differentiation of induced pluripotent stem cells (iPS cells) knock-out for HMGA2. We have found that HMGA2 expression is regulated by a key transcription factor Otx2 that alone or in combination with Oct4 drives early enhancer activation during the exit from ground state of ESCs to EpiSCs. Indeed, we have shown that HMGA2 cooperates with Otx2 in enhanceosome formation. Finally, the results obtained during my doctoral thesis have demonstrated that HMGA2 acts taking part to the regulatory mechanisms that guide the exit of ESCs from ground state.
Additional file 10 of Long-term outcomes of offspring from multiple gestations: a two-sample Mendelian randomization study on multi-system diseases using UK Biobank and FinnGen databases
Creators: name: Jiang, Yi
name: Du, Yuanyuan
name: Su, Rui
name: Zhou, Xuan
name: Wei, Lijie
name: Zhang, Jingyi
name: Zhu, Shenglan
name: Zhang, Huiting
name: Fang, Chenyun
name: Chen, Yuting
name: Gao, Peng
name: Zhang, Liangnan
name: Wang, Shaoshuai
name: Yu, Jun
name: He, Mengzhou
name: Ding, Wencheng
name: Feng, Ling
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Ecology
subject: FOS: Biological sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Additional file 10: Material S2. The scatter plot, funnel plot and leave-one-out plot for the MR analysis of multiple birth and nervous system disease.
Additional file 1 of Novel serum biomarkers for predicting neurological outcomes in postcardiac arrest patients treated with targeted temperature management
Creators: name: Song, Hwan
name: Bang, Hyo Jin
name: You, Yeonho
name: Park, Jung Soo
name: Kang, Changshin
name: Kim, Hyo Joon
name: Park, Kyu Nam
name: Oh, Sang Hoon
name: Youn, Chun Song
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Neuroscience
subject: Physiology
subject: Pharmacology
subject: Biotechnology
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Virology

description: Additional file 1. Additional statistical analysis of biomarkers for predicting poor neurological outcomes and comparison of novel and conventional biomarkers for predicting poor neurological outcomes.
Capital Inflows, Current Accounts and Investment Cycle in Italy: 1861-1913
Creators: name: PISTORESI, Barbara
name: RINALDI, Alberto
Publisher: name: Dipartimento di Economia Politica - Universit� di Modena e Reggio Emilia
Year: 2014

description: By relying on a new dataset, this paper presents an econometric strategy to test the Fenoaltea?s thesis with regard to both the genesis of current account fluctuations and of the investment cycle. We perform a Granger causality test that shows that the persistent current account deficits in the years from unification from WW1 were generated by variations in capital inflows, as pointed by Fenoaltea, and not by the dynamics of the GDP, as claimed by the Bonelli-Cafagna model. Finally, this paper supports the Fenoaltea?s thesis that these capital inflows prompted a general investment cycle which included both construction and industrial investments.
Come cambiano le attivit� economiche e i distretti industriali: un'analisi dell'andamento dell'occupazione tra i due censimenti (1991-2001)
Creators: name: MURAT, Marina Giovanna
name: PABA, Sergio
Publisher: name: Dipartimento di Economia Politica - Universit� di Modena e Reggio Emilia
Year: 2004

description: .
Evaluating the Impact of Metacognitive Reflection and Insight Therapy on Social Functioning in Schizophrenia
Creators: name: Mickens, Jessica
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Clinical psychology

description: Social functioning encompasses interactions with people across situations of varying complexity. Given the frequency of observed social impairments in individuals with schizophrenia, there is a need to identify mechanisms that influence social functioning impairments. One proposed mechanism is metacognition, a mental process that enables the integration and interpretation of mental states and experiences. Impaired metacognition can inhibit one’s ability to engage and navigate through our social world. In individuals with schizophrenia, both social functioning and metacognitive deficits are profound. This study examined three hypotheses. Following Metacognitive Reflection and Insight Therapy (MERIT), (1) individuals will show improvements in social functioning; (2) individuals will show improvements in metacognitive abilities; and (3) improvements in social functioning will be associated with improved metacognitive abilities.
Short-term household income mobility before and after the Great Recession: A four-country study
Creators: name: Casabianca, E. J.
name: Giarda, E.
name: MAROTTA, Giuseppe
name: Marotta, G. Non � Autore Ma Direttore Della Collana CEFIN
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� di Modena e Reggio Emilia
Year: 2019

description: This paper analyses short-term intra-generational income mobility in France, Italy, Spain and the UK by exploiting the longitudinal component of EU-SILC for the periods 2005-2008 and 2012-2015. We investigate whether and to what extent the ability of households to move along the income distribution changed after the 2008 crisis and whether heterogeneities among countries exist. For this purpose, we employ mobility indexes and transition matrices as well as estimation of a 2SLS regression and of a dynamic ordered probit with random effects. Overall, indexes and transition matrices point to a decrease of mobility in the aftermath of the crisis. The econometric analyses suggest both the existence of a convergence process of incomes and state dependence of current and lagged income in both periods. We also observe sluggish income convergence and lower upward mobility in the second period. Among the microeconomic drivers, education and employment status are positive determinants of mobility. Finally, our results confirm crosscountry heterogeneity.