cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Additional file 5 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 5: Table S5. Two-sample Mendelian randomization estimations showing the effects, heterogeneity and horizontal pleiotropy of multiple birth on the risk of cardiovascular system disease.
Prototypicality and Ingroup Perceptions: The Role of Identity Denial
Creators: name: Trujillo, Leidy Daiana
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Industrial and organisational psychology (incl. human factors)
Forensic psychology
Personality and individual differences
Social psychology
Sociology of migration, ethnicity and multiculturalism

description: Hispanics are the fastest growing minority group within the United States, and the present work studies the existence of intragroup biases within this community due to violations of prototypicality and the existence of colorism. The present work also explores identity denial as a possible mediator of the relationship between target prototypicality and negative social consequences. Specially, when presented with lighter-skin or darker-skin targets, Hispanic/Latinx individuals are more likely to see them as less likable, and less warm when compared to a prototypical target. There was no evidence to support that identity denial mediated this relationship. Additionally, this research extends previous literature on the content of stereotypes faced by individuals of differing skin colors and finds conflicting results using an intragroup sample. Unexpected results suggest prototypicality may trump phenotypic variations within this unique population.
?It?s a trap!? The degree of poverty persistence in Italy and Europe
Creators: name: Giarda, E.
name: Moroni, G.
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: 2015

description: This paper analyses poverty persistence in Italy and compares it with France, Greece, Portugal, Spain and the United Kingdom, focusing on its dynamics through the analysis of transitions into and out of poverty and the econometric quantification of true state dependence. The analysis is performed on the longitudinal component of the EU-SILC for the period 2009-2012. Descriptive statistics and transition matrices reveal that households in Italy are characterised by a higher degree of poverty persistence than in other countries. This evidence is confirmed by the estimation of Heckman?s dynamic random effects probit model. Italy is the country with the highest level of true state dependence estimated at 0.26, after Greece (0.30), while the UK has the lowest value (0.07). Italy also shows an impact of individual characteristics on current poverty lower, in absolute terms, than the lagged dependent variable. This may explain the gap in the persistent to current poverty ratio between Italy and other countries.
Additional file 14 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 14: Material S6. The scatter plot, funnel plot and leave-one-out plot for the MR analysis of multiple birth and endocrine system disease.
DEEP LEARNING FOR STATISTICAL DATA ANALYSIS: DIMENSION REDUCTION AND CAUSAL STRUCTURE INFERENCE
Creators: name: Liang, Siqi
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Statistics not elsewhere classified

description: During the past decades, deep learning has been proven to be an important tool for statistical data analysis. Motivated by the promise of deep learning in tackling the curse of dimensionality, we propose three innovative methods which apply deep learning techniques to high-dimensional data analysis in this dissertation.
Firstly, we propose a nonlinear sufficient dimension reduction method, the so-called split-and-merge deep neural networks (SM-DNN), which employs the split-and-merge technique on deep neural networks to obtain nonlinear sufficient dimension reduction of the input data and then learn a deep neural network on the dimension reduced data. We show that the DNN-based dimension reduction is sufficient for data drawn from exponential family, which retains all information on response contained in the explanatory data. Our numerical experiments indicate that the SM-DNN method can lead to significant improvement in phenotype prediction for a variety of real data examples. In particular, with only rare variants, we achieved a remarkable prediction accuracy of over 74\% for the Early-Onset Myocardial Infarction (EOMI) exome sequence data.
Secondly, we propose another nonlinear SDR method based on a new type of stochastic neural network under a rigorous probabilistic framework and show that it can be used for sufficient dimension reduction for high-dimensional data. The proposed stochastic neural network can be trained using an adaptive stochastic gradient Markov chain Monte Carlo algorithm. Through extensive experiments on real-world classification and regression problems, we show that the proposed method compares favorably with the existing state-of-the-art sufficient dimension reduction methods and is computationally more efficient for large-scale data.
Finally, we propose a structure learning method for learning the causal structure hidden in the high-dimensional data, which consists of two stages:we first conduct Bayesian sparse learning for variable screening to build a primary graph, and then we perform conditional independence tests to refine the primary graph. Extensive numerical experiments and quantitative tests confirm the generality, effectiveness and power of the proposed methods.
Bottom-up, Context-Driven Visual Object Understanding
Creators: name: Farhand, Sepehr
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Artificial intelligence not elsewhere classified
Computer vision
Image processing
Pattern recognition
Data mining and knowledge discovery

description: Recent developments in the computer vision field achieve state-of-the-art performance by utilizing large-scale training datasets and in the absence of that, generating synthetic datasets of said magnitude. Yet, for certain applications, it is not feasible to synthesize high fidelity training data (e.g., biomedical computer vision domain), or to achieve detailed explainability for the program's decisions. Formulating a part-based approach can help alleviate the aforementioned challenges as (i) a scene can naturally be decomposed into a hierarchical part-based structure, and (ii) using domain knowledge by incorporating the object parts' topological and geometrical constraints reduces the complexity of learning and inference, benefiting methods in terms of data efficiency and computational resources. This dissertation investigates multiple applications that benefit from a part-based solution regarding the applications' performance metrics and/or computational efficiency. We develop part-based methods for registration, segmentation, unsupervised object discovery in large-scale image collections, and unsupervised unknown foreground discovery in streaming scenarios.
IMPLEMENTATION OF ADAS FEATURES ON ONE TENTH SCALE OF AN AUTONOMOUS VEHICLE
Creators: name: Davuluri, Yogitha
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Control engineering, mechatronics and robotics not elsewhere classified

description: An autonomous car is a self-driving vehicle, that operates without human intervention and has the capability of sensing the environment around it. To achieve this, the autonomous vehicle mostly depends on multiple Sensors, Actuators, Machine learning, complex algorithms and processors for software execution. Developed Software, at that point, processes all the information obtained from sensors, plans the path, and the instructions are passed to the vehicle’s actuators, which are capable of controlling acceleration, steering, and brake systems. The rules that are hard-coded, algorithms for detection of object and obstacle avoidance, and predictive modelling control algorithms assist the software with observing traffic guidelines and navigate the vehicle accordingly. Free driving is anything but a simple assignment, and to make independent driving game plans is an extraordinarily critical capacity in the current programming planning field. Engineers and Researchers have been keeping huge endeavors to develop safe and precise algorithms to be incorporated in autonomous vehicles. ROS is a flexible and perfect middle ware tool for robotic applications. ROS offers the necessary tools to effortlessly get the sensors information, process that information, and produce a suitable response to actuators of the vehicle. This thesis work plans to exhibit how ROS could be utilized as a middle- ware tool to make the vehicle move autonomously by examining the surroundings and taking decision. The main focus of this thesis is to develop a one-tenth scale of an autonomous Race car equipped with Jetson Nano as the on-board computer, ROS based software architecture, sensors, and a PWM driver and implement ADAS features such as Emergency Brake system, Lane Detection and Lane change on the autonomous Race car vehicle. At last, by following the strategies introduced in this thesis work, it is possible to build and develop an autonomous vehicle that uses ROS framework.
STUDY OF NATIVE PROTEIN COMPLEXES USING GAS-PHASE ION/ION REACTIONS VIA MASS SPECTROMETRY
Creators: name: Abdillahi, Abdirahman M
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Analytical chemistry not elsewhere classified

description: The advent of electrospray ionization enabled the study of intact protein complexes via MS. For example, in the mid-1990s, the observation that viruses can survive after entering the gas-phase and still retain activity was shown. Advances in sample preparation methodologies, mainly native MS, allowed for the preservation of large non-covalently bound complexes, which led to structural characterization studies that were previously unachievable. However, native MS suffers from complications arising from inherent heterogeneity and severe salt adduction. Consequently, the spectra can consist of broad and overlapping peaks that may even preclude the ability to obtain a mass measurement. This dissertation will focus on a gas-phase technique to address highly complex native MS scenarios that give rise to poorly resolved signals using the E. coli ribosome as one model system. Moreover, brief discussion of improvements made on our QToF platform (SCIEX 5600) will be compared with other state-of-the-art instruments. Lastly, other applications to our ion/ion reaction workflow will be explored.
La formazione professionale continua tra responsabilizzazione dell'impresa e individualizzazione dei percorsi professionali. Lezioni dal modello francese.
Creators: name: Merlo, Giulia
Publisher: name: Universit� degli studi di Trento
Year: 2019

description: This research aims to explore the most relevant legal tools developed to support the access of people, already active in the labour market, to vocational training measures; focusing on the protective role they may play both in the individual employment relationship and in the labour market. Regarding the first thematic core, the research will point out that current flexible productive structures require continuous realignment process of workers? professional capital vis-a-vis the organizational needs. As far as the labour market dimension is concerned, according to the most recent theoretical perspectives, it is highlighted how training tools can assume an essential function in the dimension of professional security when projected towards the preventive protection of employment transitions. Starting from these premises, this research investigates possible regulatory answers to empower employers in order to maintain their workers professionalism, as well as to guarantee the employment security dimension. 2 In order to identify the most pertinent regulatory solutions, different approaches and instruments are analysed. In particular, the French and Italian legal systems are compared. These systems have adopted extremely different approaches to vocational training: in France the development of a complete and organic continuing training framework has been one of the absolute priorities in the field of social legislation, while in Italy, at the moment, there is no structured and unitary discipline on the matter. In particular, the comparative analysis reveals that in the French legal system, both the needs of adapting professional skills to organizational changes, and the "preventive" protection of employment transitions have found suitable regulatory responses. They have been provided through the provision of a complex system of employers? duties, as well as by forecasting specific tools allowing direct and individual access to training measures. To the contrary, the Italian legal framework lacks clear requirements designed to empower companies with regard to the adaptation or development of the human capital of their workforce Furthermore, the Italian legal system does not provide for an individual right to training, which would allow workers to independently access training, on the basis of a personal and conscious prospect of professional development.
The quality of work dimensions. Results of a multivariate analysis from the Third Isfol Survey on Quality of work in Italy
Creators: name: ADDABBO, Tindara
name: Centra, M.
name: Curtarelli, M.
name: FUSCALDO, Marco
name: Gualtieri, V.
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� di Modena e Reggio Emilia
Year: 2013

description: This paper starts with an overview of the theoretical framework on quality of work and identifies five relevant dimensions, in line with Gallino & La Rosa: ergonomic, complexity, autonomy, control and economic dimensions. The above dimensions are described and measured by means of multivariate analysis to detect differences in terms of the factors affecting the level of the quality of work dimensions achieved. The data set that we use for this purpose is the Third Isfol Survey on Quality of Work (IsfolQdL) that has been carried out in 2010 on a sample of 5,000 workers and operationalizes the five dimensions of the quality of work. The results of the multivariate analysis confirm the worse achievements in terms of quality of work by temporary workers and lower skilled workers and lower level of achievements by women in the economic and autonomy dimensions. Women are also more likely to be found in part-time work positions and the latter show an improvement in the ergonomic dimension (that includes also work life balance) at the expenses of the economic and autonomy dimensions.
Additional file 2 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 2: Table S2. Characteristics of each method used in this study.
Quality of government and subjective poverty in Europe
Creators: name: BALDINI, Massimo
name: Peragine, V.
name: Silvestri, Luca
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� di Modena e Reggio Emilia
Year: 2017

description: We study the effect of quality of government on subjective poverty across European countries and regions, taking advantage of recently released data on the quality of public institutions at the regional level, and of information on household subjective poverty. In the analysis we try to separate the effects of quantity and quality of public services on perceived well-being, controlling for the size of the local government and for the receipt of in-kind services by each household of the sample. Results suggest that good governance significantly reduces the probability of being subjectively poor, both over the whole population and also among households that are poor in terms of monetary income. We then estimate the greater cost that a family has to bear in order to achieve a given level of welfare, if it lives in a region with inefficient public institutions. Our measure of this inefficiency cost is around 6% of disposable income.
Therapeutic silk fibroin-based systems for tissue engineering applications
Creators: name: Raggio, Rosasilvia
Publisher: name: Universit� degli studi di Trento
Year: 2019

description: Tissue engineering (TE) is an interdisciplinary field, in continuous evolution, that possesses as main goal the creation of efficient systems for tissues and organs healing and regeneration. For bone, TE strategies are typically based on the combined use of scaffolds, cells, and bioactive molecules.
Different materials were successfully studied and proposed for the fabrication of scaffolds. Among them, silk fibroin (SF) was evaluated as particularly promising for different TE applications, especially for bone tissue regeneration. Silk fibroin, a natural protein forming the structural core of silk filaments, holds biocompatibility, mechanical properties and biodegradation rate suitable for applications in bone regeneration. However, in the past, SF has shown some limitations, especially in terms of bioactivity and effective differentiating ability of hMSCs in regenerating bone tissue.
In this work, we wanted to demonstrate that SF, properly processed, chemically modified, and conjugated with selected bioactive species, can be used to prepare different systems: a functionalised scaffold; a bioresorbable material with mineralization ability; an implantable immunomodulatory material. The experimental activities performed and the deep investigation of the properties of the SF-based systems prepared, led to promising results, indicating that SF could be a flexible and powerful platform for the realization of different therapeutic tools. For some of the SF-based systems described in this dissertation, further studies are needed to assess the biological activity of the materials prepared.
Meta Trento- Intelligent Mapping, Quaderno dei Corsi di Urban Design
Creators: name: Scaglione, Giuseppe
Publisher: name: Universit� degli Studi di Trento
Year: 2017

description: METATRENTO
Dal Prg negato alla citt� dell?open source, crisi dell?urbanistica tradizionale, nuovi strumenti per il progetto della citt�. Un percorso progettuale, citt� e universit�, con un approccio User Center Design che indaghi l?interazione della citt� e i luoghi collettivi disponibili. La lente del dialogo, della conoscenza con nuovi strumenti tecnologici, tra cittadinanza e pubblica amministrazione, per ripensare lo spazio cittadino.
Private Information and the Commitment Value of Unobservable Investment
Creators: name: BRIGHI, Luigi
name: D'AMATO, MARCELLO
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� di Modena e Reggio Emilia
Year: 2018

description: The commitment value of unobservable investment with cost-reducing effects is examined in an entry model where the incumbent is privately informed about his costs of production. We show that when the price signals incumbent's costs, unobservable investment can not have any commitment value and the limit price does not limit entry. By contrast, if the price does not reveal costs, which is the more likely outcome, unobservable investment has a magnified value of commitment and a less aggressive limit price deters profitable entry.
Moment Risk Premia and the Cross-Section of Stock Returns
Creators: name: Elyasiani, E.
name: GAMBARELLI, LUCA
name: MUZZIOLI, Silvia
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� di Modena e Reggio Emilia
Year: 2016

description: The aim of this paper is to assess the existence and the sign of moment risk premia. To this end, we use methodologies ranging from swap contracts to portfolio sorting techniques in order to obtain robust estimates. We provide empirical evidence for the European stock market for the 2008-2015 time period. Evidence is found of a negative volatility risk premium and a positive skewness risk premium, which are robust to the different techniques and cannot be explained by common risk-factors such as market excess return, size, book-to-market and momentum. Kurtosis risk is not priced in our dataset. Furthermore, we find evidence of a positive risk premium in relation to the firm?s size.
Lending interest rate pass-through in the euro area. A data-driven tale
Creators: name: MAROTTA, Giuseppe
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� di Modena e Reggio Emilia
Year: 2008

description: The harmonized MIR retail interest rates for the euro area, available as of January 2003, show remarkable differences both in levels and dynamics with the previous unharmonized NRIR rates. This evidence should suggest caution in extrapolating the findings of the NRIR-based literature on the incomplete long-run pass-through of market rates even into the short term business lending rates, the least sticky ones among bank rates. We show that long run pass-throughs for MIR rates of smaller and larger short-term business loans are almost always complete or nearly so in nine of the founding EMU countries and in Greece.
PRIMI APPUNTI PER UNA STORIA DELLA FEDERAZIONE PROVINCIALE ARTIGIANI DI MODENA (1945-1961)
Creators: name: RINALDI, Alberto
Publisher: name: Dipartimento di Economia Politica - Universit� di Modena e Reggio Emilia
Year: 2004

description: Questo paper ricostruisce la storia della Federazione Provinciale di Modena aderente alla CNA dalla sua fondazione nel 1945 al 1961.
Additional file 1 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 1: Table S1. SNPs that were used as instrumental variables met the conditions: p value < 5 × 10–6 and F > 10. * The secondary phenotypes of rs605765 obtained by PhenoScanner include waist circumference, weight and number of operations, some of which are associated with BMI, and BMI was identified as a confounder for lots of diseases. In the subsequent one-leave-out test, we focused on whether the MR Results were stable after removing this SNP.
The Miracle of Peer Review and Development inScience: An Agent-Based Model
Creators: name: RIGHI, Simone
name: Takacs, K.
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� di Modena e Reggio Emilia
Year: 2016

description: It is not easy to rationalize how peer review, as the current grassroots of science, can work based on voluntary contributions of reviewers. There is no rationale to write impartial and thorough evaluations. Consequently, there is no risk in submitting lowquality work by authors. As a result, scientists face a social dilemma: if everyone acts according to his or her own self-interest, low scientific quality is produced. Still, in practice, reviewers as well as authors invest high effort in reviews and submissions. We examine how the increased relevance of public good benefits (journal impact factor), the editorial policy of handling incoming reviews, and the acceptance decisions that take into account reputational information can help the evolution of high-quality contributions from authors. High effort from the side of reviewers is problematic even if authors cooperate: reviewers are still best off by producing low-quality reviews, which does not hinder scientific development, just adds random noise and unnecessary costs to it. We show with agent-based simulations that tacit agreements between authors that are based on reciprocity might decrease these costs, but does not result in superior scientific quality. Our study underlines why certain self-emerged current practices, such as the increased importance of journal metrics, the reputation-based selection of reviewers, and the reputation bias in acceptance work efficiently for scientific development. Our results find no answers, however, how the system of peer review with impartial and thorough evaluations could be sustainable jointly with rapid scientific development.
Project Report 1 (M1-M18), Chp2030 Deliverable D8.3
Creators: name: CHPM2030 Project
Publisher: name: Zenodo
Year: 2017
Subjects: geothermal energy
geochemistry
Europe
metals
structural geology
metal mobilisation
production

description: The strategic objective of CHPM2030 is to develop a novel and potentially disruptive technological solution that can help satisfy the European needs for energy and strategic metals in a single interlinked process. In the CHPM technology vision, the metal-bearing geological formation will be manipulated in a way that the co-production of energy and metals will be possible, and may be optimised according to the market demands at any given moment in the future.

Being in an early stage of the project implementation, an explanation of the work carried out by the beneficiaries and an overview of the progress is reported.
description: H2020
Online supplementary file 1 - Supplemental material for Teledermatology Utilization and Integration in Residency Training Over the COVID-19 Pandemic
Creators: name: Mahmood, Farhan
name: Cyr, Janelle
name: Keely, Erin
name: Afkham, Amir
name: Gugiani, Sheena
name: Walker, Jim
name: DesGroseilliers, Jean-Pierre
name: Kirshen, Carly
Publisher: name: SAGE Journals
Year: 2021
Subjects: Medicine

description: Supplemental material, Online supplementary file 1, for Teledermatology Utilization and Integration in Residency Training Over the COVID-19 Pandemic by Farhan Mahmood, Janelle Cyr, Erin Keely, Amir Afkham, Sheena Gugiani, Jim Walker, Jean-Pierre DesGroseilliers and Carly Kirshen in Journal of Cutaneous Medicine and Surgery
Modelling credit risk for innovative firms: the role of innovation measures
Creators: name: PEDERZOLI, CHIARA
name: THOMA, Grid
name: TORRICELLI, Costanza
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� di Modena e Reggio Emilia
Year: 2011

description: Financial constraints encountered by small-medium enterprises (SME) are particularly severe for innovative firms, which, in the EU, cannot rely on a sufficiently developed venture capital industry and have to depend on debt capital. It is thus important to develop models which, in consideration of the specific features of innovative SMEs, provide a reliable estimate of their probability of default (PD) that can also serve as a rating of the innovative firm. Based on the signaling value of innovation-related assets such as patents, this paper shows the role of innovative assets in credit risk modeling. Specifically, we include in a logit model two innovation-related variables in order to account for both the dimension and the value of the patent portfolio. Based on a unique dataset of innovative SMEs with default years 2006-2008 we show that, while the value of the patent portfolio always reduces the PD, its dimension increases the firm?s riskiness unless coupled with an appropriate equity level.
Migrant networks: empirical implications for the Italian bilateral trade
Creators: name: MURAT, Marina Giovanna
name: PISTORESI, Barbara
Publisher: name: Dipartimento di Economia Politica - Universit� di Modena e Reggio Emilia
Year: 2007

description: A significant number of empirical studies, focusing on different countries, have found apositive link between migration and trade. This paper studies the relationship between emigration,immigration and trade using Italian data. The sample regards 51 foreign trading partners and spansfrom 1990 to 2005. The results suggest that: networks of Italian emigrants in foreign countriesboost bilateral trade. The effects of immigrants are weak, on exports, or negative, on imports.Results do not change when the cultural and institutional dissimilarities between countries areconsidered.
sj-docx-3-psp-10.1177_01461672211042319 – Supplemental material for Two Ways to Stay at the Top: Prestige and Dominance Are Both Viable Strategies for Gaining and Maintaining Social Rank Over Time
Creators: name: McClanahan, Kaylene J.
name: Maner, Jon K.
name: Cheng, Joey T.
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, sj-docx-3-psp-10.1177_01461672211042319 for Two Ways to Stay at the Top: Prestige and Dominance Are Both Viable Strategies for Gaining and Maintaining Social Rank Over Time by Kaylene J. McClanahan, Jon K. Maner and Joey T. Cheng in Personality and Social Psychology Bulletin
Primary Cilium in Bone Growth and Mechanotransduction
Creators: name: Perini, Mariana Moraes de Lima
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Biochemistry and cell biology not elsewhere classified
Plant cell and molecular biology
Animal cell and molecular biology

description: Bone loss diseases, including osteoporosis affect millions of people worldwide. Understanding the underlying mechanisms behind bone homeostasis and adaptation is essential to uncovering new therapeutic targets for the prevention and treatment of bone loss diseases. Primary cilia have been implicated in the development and mechanosensation of various tissue types, including bone. The goal of the studies outlined in this thesis is to determine the mechanosensory role of primary cilia in bone cell function, bone growth, and adaptation. This goal was achieved by exploring two specific scenarios. In the first study, mice models with conditional knockouts of MKS5, a ciliary protein, in osteocytes were utilized to demonstrate that dysfunctional primary cilia in those cells result in impaired loading-induced bone formation. The hypothesis tested is that the existence of functioning primary cilia on osteocytes is crucial for proper bone adaptation following stress. The results of this study support the hypothesis, with the conditional knockout mice showing significantly lower loading-induced bone formation compared to controls. The second study highlighted the importance of the osteoblast primary cilia in bone growth by using mice models with osteoblast-specific deletion of the cilia. The hypothesis tested is that the presence of the primary cilia is crucial for proper bone growth. The results show that conditional knockout mice have lower body weights, decreased femur length, and a significantly lower rate of bone formation, confirming that the primary cilia play a great role in bone growth and development. This study has highlighted the role of primary cilia in bone health and this topic merits further investigation.
sj-docx-1-jls-10.1177_0261927X211044512 - Supplemental material for Face Masks Might Protect You From COVID-19: The Communication of Scientific Uncertainty by Scientists Versus Politicians in the Context of Policy in the Making
Creators: name: Janssen, Inse
name: Hendriks, Friederike
name: Jucks, Regina
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 200399 Language Studies not elsewhere classified
subject: FOS: Languages and literature
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, sj-docx-1-jls-10.1177_0261927X211044512 for Face Masks Might Protect You From COVID-19: The Communication of Scientific Uncertainty by Scientists Versus Politicians in the Context of Policy in the Making by Inse Janssen, Friederike Hendriks and Regina Jucks in Journal of Language and Social Psychology
Migrant Networks and Foreign Direct Investment: A Cliometric Perspective
Creators: name: MURAT, Marina Giovanna
name: PISTORESI, Barbara
name: RINALDI, Alberto
Publisher: name: Dipartimento di Economia Politica - Universit� di Modena e Reggio Emilia
Year: 2008

description: Recent economic literature highlights that migrant networks help to overcome the informal barriers that exist in the international markets and boost international investment. Empirical studies on different countries confirm this prediction. This paper estimates (OLS-IV) an econometric model to study the impact of both emigration and immigration on Italy's bilateral foreign direct investment (FDI). The main results are that Italian emigrants abroad have a significant positive effect on Italy's both inward and outward FDI, while immigrants are not a signifcant determinant. A theoretical framework, a profile of the diaspora and of immigration in Italy and some exemplary entrepreneurial histories help to interpret the econometric evidence.
sj-pdf-1-hpq-10.1177_13591053211037737 – Supplemental material for Multifactorial causal beliefs and colorectal cancer screening: A structural equation modeling investigation
Creators: name: Allen, Caitlin
name: Waters, Erika A
name: Hamilton, Jada G
name: Vu, Milkie
name: Gabriel, Jazmine
name: Roberts, Megan C
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: FOS: Clinical medicine
subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences

description: Supplemental material, sj-pdf-1-hpq-10.1177_13591053211037737 for Multifactorial causal beliefs and colorectal cancer screening: A structural equation modeling investigation by Caitlin Allen, Erika A Waters, Jada G Hamilton, Milkie Vu, Jazmine Gabriel and Megan C Roberts in Journal of Health Psychology
Additional file 13 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 13: Material S5. The scatter plot, funnel plot and leave-one-out plot for the MR analysis of multiple birth and digestive system disease.
Tools and practices for LGBT+ inclusion in tertiary education: the development of the LGBT+ University Inclusion Index and its application to Italian universities
Creators: name: RUSSO, TULLIA
name: ADDABBO, Tindara
name: MUZZIOLI, Silvia
name: De Baets, B.
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� di Modena e Reggio Emilia
Year: 2021

description: The literature provides evidence that lesbian, gay, bisexual and trans learners ore often victims of homo-bi-transphobic discrimination in educational environments.
This paper outlines an index of LGBT+ inclusion for Universities. The index has a twofold aim: to help tertiary education institutions to assess their degree of inclusivenesss, and to detect the level of LGBT+ inclusion in tertiary education. Starting from the existing LGBT+ inclusion indices like the Campus Pride Index and LGBT+ Inclusive Education Index, the LGBT+
inclusive university index refers to an extended set of indicators and is based on fuzzy logic techniques to measure inclusiveness (Zadeh, 1965, 1988).
Best practices in LGBTI+ inclusion, implemented by Italian universities and identified in this study, are highlighted with the aim of suggesting and recommending guidelines helpful to fighting homo-bi-transphobic discrimination in higher education institutions.
Non-convex Bayesian Learning via Stochastic Gradient Markov Chain Monte Carlo
Creators: name: Deng, Wei
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Artificial intelligence not elsewhere classified
Statistics not elsewhere classified
Stochastic analysis and modelling

description: The rise of artificial intelligence (AI) hinges on the efficient training of modern deep neural networks (DNNs) for non-convex optimization and uncertainty quantification, which boils down to a non-convex Bayesian learning problem. A standard tool to handle the problem is Langevin Monte Carlo, which proposes to approximate the posterior distribution with theoretical guarantees. However, non-convex Bayesian learning in real big data applications can be arbitrarily slow and often fails to capture the uncertainty or informative modes given a limited time. As a result, advanced techniques are still required.
In this thesis, we start with the replica exchange Langevin Monte Carlo (also known as parallel tempering), which is a Markov jump process that proposes appropriate swaps between exploration and exploitation to achieve accelerations. However, the na\"ive extension of swaps to big data problems leads to a large bias, and the bias-corrected swaps are required. Such a mechanism leads to few effective swaps and insignificant accelerations. To alleviate this issue, we first propose a control variates method to reduce the variance of noisy energy estimators and show a potential to accelerate the exponential convergence. We also present the population-chain replica exchange and propose a generalized deterministic even-odd scheme to track the non-reversibility and obtain an optimal round trip rate. Further approximations are conducted based on stochastic gradient descents, which yield a user-friendly nature for large-scale uncertainty approximation tasks without much tuning costs.
In the second part of the thesis, we study scalable dynamic importance sampling algorithms based on stochastic approximation. Traditional dynamic importance sampling algorithms have achieved successes in bioinformatics and statistical physics, however, the lack of scalability has greatly limited their extensions to big data applications. To handle this scalability issue, we resolve the vanishing gradient problem and propose two dynamic importance sampling algorithms based on stochastic gradient Langevin dynamics. Theoretically, we establish the stability condition for the underlying ordinary differential equation (ODE) system and guarantee the asymptotic convergence of the latent variable to the desired fixed point. Interestingly, such a result still holds given non-convex energy landscapes. In addition, we also propose a pleasingly parallel version of such algorithms with interacting latent variables. We show that the interacting algorithm can be theoretically more efficient than the single-chain alternative with an equivalent computational budget.
INDUSTRIAL POLICY AND ARTISAN FIRMS IN ITALY. 1945-1971
Creators: name: RINALDI, Alberto
name: LONGONI G., M.
Publisher: name: Dipartimento di Economia Politica - Universit� di Modena e Reggio Emilia
Year: 2007

description: This paper shows that after the Second World War the Italian State carried out an artisanship policy of an extent that was unparalleled in Europe. This policy was based on the provision, on the one hand, of lower tax and employers' contributions and welfare benefits at reduced premiums and, on the other, hand, of 'substitutive factors': soft loans, services and promotional initiatives by state agencies. Such an artisan policy played a twofold role: partly 'defensive', protecting a segment of marginal firms, and partly 'proactive', prompting the modernisation and innovation of more promising firms.
title: Risk factors associated with postpartum depression in immigrants in the U.S.: A systematic scoping review
Creators: name: Ayisi, Michaela
Publisher: name: University of Massachusetts Amherst
Year: 2025
Subjects: subject: Natural Resources and Conservation

description: Background
Meta analysis has shown that immigrant women are twice as likely to display postpartum depression (PPD) symptoms than non-immigrant women yet, the reason behind this increased risk is unknown. This review sets out to synthesize existing research on PPD in immigrant women and illuminate gaps for future research.

The research question guiding this review is: what are the factors that impact postpartum depression (PPD) risk among immigrant women in the U.S.?
Methods
APA PsychInfo was searched on 24 February 2025 for studies assessing the risk factors of PPD in immigrant women in the U.S at any time. Only primary, observational studies were included. Results were narratively synthesized, grouped by risk factor type and further divided by specific risk factor.
Results
Five studies were included, representing 506 participants. The mean age of participants ranged from 29-33.4 and the mean years living in the U.S. ranged from 5.56-10. All included studies focused on immigrant populations originating from Asian and Middle Eastern countries. All studies utilized validated PPD measurements.

Two of five studies reported on acculturation; one reported that lower levels of acculturation related to higher levels of PPD symptoms, whereas the other found no significant correlation. Two of the five included studies reported on social support and all found that lower levels of social support were associated with higher levels of PPD symptoms, suggesting social support may be an important risk factor to consider. Two studies reported on family dynamic descriptors including marital relationship, in-law relationship, arranged marriage, and child’s gender. Only marital relationship scores had significant associations with PPD scores. Two studies reported on mother’s mental health and confidence. One study found antenatal anxiety, antenatal depression, life stress, and maternity blues all increase PPD symptoms; while the other study found that low maternal self-efficacy was related to higher PPD symptoms.
Conclusion
The literature examining risk factors for PPD in immigrant women living in the U.S. is minimal. Data suggests strong associations between low social support and increased PPD symptoms. More research should be conducted to assess the impact of acculturation of PPD, as results are conflicting. Finally, future research should be done in immigrant populations from various countries of origin as current research heavily focuses on Asian and Middle Eastern countries.
Questioni valutative in relazione alla definizione di "povert�"
Creators: name: BALDINI, Massimo
Publisher: name: Dipartimento di Economia Marco Biagi - Universit� di Modena e Reggio Emilia
Year: 2017

description: Questo contributo cerca di chiarire quali giudizi di valore siano alla base dei principali criteri di valutazione quantitativa della povert�, e quali conseguenze pratiche abbia la scelta di un indicatore piuttosto di un altro quando si desideri valutare come la povert� stia mutando nel tempo o tra paesi, o quali siano gli effetti sulla povert� di una certa scelta di policy. Seguendo la tradizione di vari studi su questo tema, dividiamo l?esposizione in tre parti, tenendo conto che per quantificare la povert� dobbiamo scegliere
1) lo spazio di valutazione,
2) la soglia che separa i poveri dagli altri e infine
3) l?indice numerico che misura il fenomeno.
sj-docx-1-qjp-10.1177_17470218211047995 – Supplemental material for Individual word activation and word frequency effects during the processing of opaque idiomatic expressions
Creators: name: Hubers, Ferdy
name: Cucchiarini, Catia
name: Strik, Helmer
name: Dijkstra, Ton
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, sj-docx-1-qjp-10.1177_17470218211047995 for Individual word activation and word frequency effects during the processing of opaque idiomatic expressions by Ferdy Hubers, Catia Cucchiarini, Helmer Strik and Ton Dijkstra in Quarterly Journal of Experimental Psychology
Additional file 12 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 12: Material S4. The scatter plot, funnel plot and leave-one-out plot for the MR analysis of multiple birth and respiratory system disease.