Miracle-dz/UniFAR-FTUs huggingface dataset:
Business Support for Refugee Integration in Europe: Conceptualizing the Link with Organizational Identification

The ongoing refugee crisis presents a plethora of challenges and requires systematic contributions from public and private entities—e.g., governments, non-governmental organizations, community organizations and businesses. Relative to the other three, (explicit) business efforts toward refugee (economic) integration are yet sporadic, limited to a few large organizations. While acknowledging that integration encompasses multiple spheres and is complicated by national and local variations across EU member states, this conceptual article treats business support of refugee (economic) integration as a manifestation of corporate social responsibility (CSR) and contends that such efforts may enhance employee-organizational identification. Drawing on scholarship from CSR and organization–employee identification, we develop a conceptual model including propositions about mediating and moderating mechanisms of the relationship among refugee integration, CSR communication and employee-organizational identification. Our study offers a conceptual bridge between what is known about the importance, barriers and enablers of refugee labor market integration with the lesser-known organizational, specifically employee, perspectives on the issue. Leveraging on this conceptual framework, further research may focus on testing the relationship empirically through collecting field data from business firms which have made an explicit claim on refugee support.
An assessment of pastoralist attitudes and wildlife conflict in the Rungwa-Ruaha region, Tanzania, with particular reference to large carnivores

1 ABSTRACT Human-wildlife conflict is an issue of pressing conservation concern, particularly when it involves threatened species, and accurately identifying the causes of such conflict is fundamental to developing effective resolution strategies. This study investigated attitudes of Maasai and Barabaig pastoralists towards wildlife in central Tanzania, with particular emphasis on five focal carnivore species. Pastoralists reported significant problems with wild animals, particularly carnivores, and results suggested that low levels of retaliatory killing were predominantly due to circumstantial constraints rather than innate tolerance. Number of stock owned and proportion of losses attributed to predators were the most important determinants of conflict examined, with some inter-tribal variation in tolerance. Successful conflict mitigation will depend upon reducing depredation through improved husbandry and improving the cost-benefit ratio of wildlife presence, thereby increasing pastoralist wealth and providing direct, relevant benefits from conservation. Implementing effective conflict resolution schemes should have significant benefits for both human and wildlife populations. Chapter One Introduction 2
Effect of Study Habits on Test Anxiety and Academic Achievement of Undergraduate Students

The current study was conducted to investigate the effect of study habits on test anxiety and academic achievement of undergraduate students. A purposive sample comprised of 180 undergraduate students (84 boys and 96 girls) was drawn from a public university. Multivariate analysis of variance indicated that study habits have a significant effect on test anxiety and academic achievement. The findings revealed that students having effective study habits experience low level of test anxiety and perform better academically than students having ineffective study habits. It was also indicated that girls experience higher level of test anxiety as compared to boys. The findings also highlighted that girls exhibit better study habits and excel more academically than boys. Correlation analysis indicated significant positive relationship between study habits and academic achievement and test anxiety was negatively correlated with academic achievement and study habits. These findings highlighted the need to improve study habits of undergraduate students in order to overcome test anxiety and improve their academic achievement.
OPTN/UNOS Liver and Intestinal Organ Transplantation Committee Meeting Minutes

To accelerate the adoption of a new method with a high potential to replace or extend an existing, presumably less accurate, medical scoring system, evaluation should begin days after the new concept is presented publicly, not years or even decades later. Metaphorically speaking, as chameleons capable of quickly changing colors to help their bodies adjust to changes in temperature or light, health-care decision makers should be capable of more quickly evaluating new data-driven insights and tools and should integrate the highest performing ones into national and international care systems. Doing so is essential, because it will truly save the lives of many individuals.
Transformation sharing strategies for mllr speaker adaptation

Maximum Likelihood Linear Regression (MLLR) estimates linear transformations of automatic speech recognition (ASR) parameters and has achieved significant performance improvements in speaker-independent ASR systems by adapting to target speakers. Evidence is presented in this dissertation that the performance improvements are not consistent across target speakers, and 15% show degradation in performance levels, i.e. increase in word error rates (WER). Robustness of MLLR adaptation is an important problem and solutions to it are crucial for ASR systems that must adapt to a wide-range of speakers. This dissertation presents new research directions that address this problem, exploring two aspects of MLLR transformation sharing using a regression class tree (RCT): the design of RCTs and the online complexity control of adaptation. The standard approach for MLLR transformation sharing uses a single speaker-independent RCT. A new approach is proposed that uses multiple RCTs, each trained using speaker-cluster-specific data and represents types of speaker variability, determined by an algorithm that partitions a large corpus of speakers in the eigenspace of their MLLR transformations. ASR experiments show that choosing the appropriate RCT for target speakers leads to significant reduction in WER. For unsupervised adaptation, an algorithm is proposed that linearly combines MLLR transformations from cluster-specific RCTs using weights estimated by maximizing the likelihood of adaptation data and achieves small improvements in WER for several tasks in English and Mandarin. More significantly, distributional analysis shows that it reduces the number of speakers with performance loss from adaptation across ranges of adaptation data and WER. The standard approach for complexity control in MLLR uses only the amount of adaptation data from a target speaker. Evidence is presented that this does not produce the optimal number of regression classes and significant improvements in WER are achieved using the oracle number of regression classes. A new solution for complexity control is proposed that predicts the number of regression classes in an RCT using speaker-level features with standard statistical classifiers and achieves moderate improvements in WER. Next, a more flexible approach is proposed that performs node-level pruning in an RCT, using node-level features and produces improved robustness of MLLR adaptation.
CP-JKU SUBMISSIONS TO DCASE ’ 19 : ACOUSTIC SCENE CLASSIFICATION AND AUDIO TAGGING WITH RECEPTIVE-FIELD-REGULARIZED CNNS Technical Report

In this report, we detail the CP-JKU submissions to the DCASE2019 challenge Task 1 (acoustic scene classification) and Task 2 (audio tagging with noisy labels and minimal supervision). In all of our submissions, we use fully convolutional deep neural networks architectures that are regularized with Receptive Field (RF) adjustments. We adjust the RF of variants of Resnet and Densenet architectures to best fit the various audio processing tasks that use the spectrogram features as input. Additionally, we propose novel CNN layers such as Frequency-Aware CNNs, and new noise compensation techniques such as Adaptive Weighting for Learning from Noisy Labels to cope with the complexities of each task. We prepared all of our submissions without the use of any external data. Our focus in this year’s submissions is to provide the best-performing single-model submission, using our proposed approaches.
Changing Career Incentives and Risk-Taking in the Mutual Fund Industry

I find significant changes in career incentives for mutual fund managers in recent years and corresponding shifts in managers’ risk taking behavior. Successful funds receive less inflows in recent years, and poor performing funds are more likely to receive outflows. The termination decision has also become more sensitive to recent performance. Managers respond rationally to the changes in the career incentives by taking less risk. The increased performance scrutiny has fallen disproportionately on experienced managers. As a result, Chevalier and Ellison (1999) finding that inexperienced managers take less risk than experienced managers is overturned in the more recent period, consistent with commensurate shifts in their career incentives. JEL classification: G11, G23
Effect of Pumpkin ( Cucurbita Moschata ) and Pineapple ( Ananas Comosus Linn ) on Obese Hyperlipidemic Rats

The present study was carried out to investigate the improvement role of Pumpkin (Cucurbita moschata) and Pineapple (Ananas comosus Linn) on body weight and biochemical parameters of obese hyperlipidemic rats. Male albino rats Sprague Dawley Strain (36 rats) weighing (150±10 gm.) were fed on basal diet for one week for adaptation. After this week, the rats were divided into two main groups as following: The first main group (6 rats) fed on basal diet (as a control negative group). The second main group (30 rats) was fed on high fat diet (for four weeks) to induce obesity and hyperlipidemia. Then, rats were divided into five groups (six rats each) as following: Group (2) was fed on high fat diet (as a control positive group), Groups (3 and 4): were fed on high fat diet containing dried pumpkin5% and 7.5%. Groups (5 and6): were fed on high fat diet containing dried Pineapple5% and 7.5% respectively. The obtained results revealed that: feeding obese hyperlipidemic rats on diet supplemented with dried pumpkin and dried Pineapple causing significant increase in the mean value of serum HDL-c and significant decrease in the mean value of both BWG %, serum TG, Tch, LDL-c, VLDL-c, ALT, urea nitrogen, glucose and leptin as compared to group of obese hyperlipidemic rats. Therefore, this study recommends that intake of Pumpkin and Pineapple may be beneficial for patients who suffer from hyperlipidemia due to their nutritional and restorative properties.
FIFTY YEARS OF THE SPECTRUM PROBLEM: SURVEY AND NEW RESULTS

In 1952, Heinrich Scholz published a question in the Journal of Symbolic Logic asking for a characterization of spectra, i.e., sets of natural numbers that are the cardinalities of finite models of first order sentences. Günter Asser asked whether the complement of a spectrum is always a spectrum. These innocent questions turned out to be seminal for the development of finite model theory and descriptive complexity. In this paper we survey developments over the last 50-odd years pertaining to the spectrum problem. Our presentation follows conceptual developments rather than the chronological order. Originally a number theoretic problem, it has been approached in terms of recursion theory, resource bounded complexity theory, classification by complexity of the defining sentences, and finally in terms of structural graph theory. Although Scholz’ question was answered in various ways, Asser’s question remains open. One appendix paraphrases the contents of several early and not easily accesible papers by G. Asser, A. Mostowski, J. Bennett and S. Mo. Another appendix contains a compendium of questions and conjectures which
António Afonso / Pedro CArdoso Exchange-Traded Funds as an Alternative Investment Option CAtArinA Pinto / Miguel sousA Impact of Double Taxation Treaties on Cross-Border Acquisitions

We conduct an analysis of Exchange-traded Funds (ETFs), Index and Equity mutual funds and their respective benchmark during the 2010-2015 period for the Portuguese fund industry. For the period 2010-2017, we test ETFs for price inefficiency (existence of deviations between prices and the Net Asset Value) and persistence. We find that the studied ETF does not always outperform index funds in replicating the variations of the PSI 20 index, despite exhibiting better tracking ability when facing downside deviations of the benchmark and a better capacity of smoothing tracking deviations. Regarding ETFs price efficiency and its persistence, the study reveals that the examined ETF is priced at a low average discount with evidence of deviations persistence of at least two days. The investment schemes with the highest ability to track the PSI 20 Index were PSI20 (ETF), BBVA PPA Índice PSI20, and the equity mutual fund BPI Portugal.
GT-Net : A Deep Learning Network for Gastric Tumor Diagnosis

Gastric cancer is one of the most common cancers, which causes the second largest number of deaths in the world. Traditional diagnosis approach requires pathologists to manually annotate the gastric tumor in gastric slice for cancer identification, which is laborious and time-consuming. In this paper, we proposed a deep learning based framework, namely GT-Net, for automatic segmentation of gastric tumor. The proposed GT-Net adopts different architectures for shallow and deep layers for better feature extraction. We evaluate the proposed framework on publicly available BOT gastric slice dataset. The experimental results show that our GT-Net performs better than state-of-the-art networks like FCN-8s, Unet, and achieved a new state-of-the-art F1 score of 90.88% for gastric tumor segmentation. Keywords—Gastric Tumor, Fully Convolutional Network, Segmentation.
Drăgoi The Remarkable Effects of “ ASEA redox Supplement ” In A Child with Duchenne Muscular Dystrophy – A Case Report

This research aims at discovering dietary supplements which may show comparable or even stronger beneficial effects (with less or none adverse effects) than corticosteroids in children with Duchenne Muscular Dystrophy (DMD). This paper presents a case report on the effects of an ionized “saline water” called “ASEA redox Supplement®” (ARS) oral solution in a ~2-year-old boy with DMD from Bucharest, Romania. In vitro studies showed that ARS is a very potent selective NRF2 activator, thus a very potent (indirect) antioxidant: the studies conducted in vivo also support this main pharmacological mechanism of ARS, with no toxicity up to high doses, in contrast with the much more toxic corticosteroids. From the first months of ARS treatment all the rhabdomyolysis markers (with very high initial serum levels) dropped significantly, with no found toxicity. The main conclusions of this paper are: (1) ARS has remarkable antioxidant and immunomodulatory effects and should be studied on larger groups of children with DMD under the age of 4 years old (but also on other age groups of children and even young adults), as an alternative to early corticosteroids; (2) Given its immunomodulatory effect (NRF2 selective activation and NF-kB inhibition), ARS deserves future cohort studies on its potential to replace corticosteroids and other non-steroidal immunosuppressants (at least partially) in many types of pulmonary/renal/hepatic/ articular/skin autoimmune autoimmune and even malignant diseases of both children and adults; (3) Given its very strong antioxidant effects (by highly selective NRF2 potent activation), ARS deservesfuture cohort studies on acute/chronic diseases that imply high levels of tissular oxidative stress, especially some acute/chronic cardiovascular and respiratory diseases like acute myocardial infarction with acute/chronic heart failure, stroke, Chronic Obstructive Pulmonary Disease (COPD), asthma etc. of both children and adults (so that ARS may help millions and even billions worldwide).
Evolutionary Dynamics of Class Structures

We study the emergence and persistence of institutions governing the size of the joint surplus and its distribution between two classes, and we identify conditions under which efficient and/or egalitarian contractual conventions are likely to emerge and to persist. We study transitions between contractual conventions as a perturbed Markov process in which individuals occasionally play idiosyncratically rather than adopting a best response. In contrast to the standard stochastic evolutionary models, we represent idiosyncratic play as intentional rather than uncoordinated individual behavioral errors. In contract to the results of the models with unintentional idiosyncratic play, when class sizes differ, very unequal contracts may be stochastically stable even if they are very inefficient and not risk-dominant. We extend this benchmark model to make the relative sizes of the two classes endogenous, showing that higher barriers to interclass upward mobility make unequal contracts stochastically stable, and imply higher levels of societal class inequality. We also let the rate of idiosyncratic play vary with the degree of class polarization and group network structure. Finally, we introduce the state as an actor mediating class conflict, and identify the conditions under which it will adopt redistributive strategies. In the penultimate section we suggest extensions addressing the effects of technical change, collective as opposed to individual idiosyncratic play, endogenous barriers to class mobility, variations in state capacities, and the structure of inheritance systems and marital assortment. JEL codes: D02(Institutions), D3(Distribution), C73 (Stochastic and Dynamic Games; Evolutionary Games)
Insider Trading and Analyst Forecast Revisions : Global Evidence 1

We examine how insider trading affects market responses to subsequent analyst forecast revisions in a global setting. We find stronger market responses to analyst forecast revisions subsequent to the insider trading than to other revisions. This stronger response is mainly driven by analyst forecast revisions that are in the same direction as the previous insider trading signal. In further analyses, we find that the market responses are stronger to analyst forecast revisions that follow insider sales for the US data, but stronger to revisions that follow insider purchases for the international data. Overall, our study suggests that investors view analyst forecast revisions as having different information content conditional on the existence and direction of previous insider trading signals and that investors seem to respond to both the analyst signal and the previous insider signal at the time analysts revise their forecasts, although the prior insider trading signal have been publicly known.
THEROPOD FOOT MOVEMENT RECORDED BY LATE TRIASSIC , EARLY JURASSIC AND LATE JURASSIC FOSSIL FOOTPRINTS

Vertebrate tracks reveal more information than just the shape and anatomy of a track maker’s foot. By studying the deformation of sediment, around and subjacent to tracks, important information about a track maker’s walking kinematics can be obtained. Thirteen theropod tracks spanning the Late Triassic, Early Jurassic and Late Jurassic were examined for deformation induced by foot movements during a stride. The tracks from the Late Triassic and Early Jurassic are preserved as true tracks except one that is preserved as a natural cast. The tracks show two, distinctly different types of deformation: (1) an outward twist of digit III formed during the kick-off, and (2) outward rotation of the proximal parts of the foot, causing the basal part of digit IV to dig down and outward into the sediment. Late Jurassic tracks preserved as deep natural casts show an even, outward deformation of the whole track. All the studied Late Triassic and Early Jurassic tracks and undertracks except one show the same outward deformation, but the tracks from the Late Jurassic are impressed into the sediment in a slightly different way. The base of the track under digits II and IV slopes sharply outward in the Late Jurassic footprints. This seems to demonstrate that different theropods adopted different walking strategies at different times.
Determining Patients' Risk of Falling in the Emergency Department

www.internationaljournalofcaringsciences. org Original Article Determining Patients' Risk of Falling in the Emergency Department Fatma Tanrikulu, MSc Research Assistant, Sakarya University Faculty of Health Science, Nursing Department, Adapazari, Turkey Dilek Sari, PhD Associate Professor, Ege University College of Nurs ing, Nursing Department, Bornova, Izmir, Turkey Correspondence: Fatma Tanrikulu Research Assistant, Sakarya Univers ity Faculty of Health Science, Nursing Department, Adapazari, Turkey. E-mail: ftan rikulu@sakarya.edu. tr Abstract Objectives: This study was conducted with the aim of determini ng the risk of falling in patients admitted to the emergency department, and was a des criptive and cross-sectional study. Method: The study was conducted in the emergency departmen t at a university hospital in Izmir Turkey. The sample consisted of the 752 patients wh o ere admitted to the emergency department and who accepted to take part in the research. Data , which consisted of patients’ socio-demographic characteristics and falling characteristics, was co lle ted using an Individual Characteristics Form, the Falling Risk Assessment Scale devised by the De lmarva Foundation. Statistical evaluation of data was performed with the use of numerical and pe rcentage values, the chi-square test and Kruskal-Wallis variance analysis. Results: It was found that 37% of the patients taking part in the study were in the over-65-year age group; 52% were male and 59.4% had a chronic illnes s. It was established that 30.3% of the patients had a high risk of falling according to th e Delmarva Foundation Scale (10 points or more). A statistically significant difference was found be tw en the level of risk of falling and the patients ’ age, state of chronic illness, the unit of the emer gency department where they were, and the reason for their admission to the emergency department (p< 0.001). Conclusion: A significant proportion of patients who are admit ted to the emergency department are at risk of falling. In particular, patients’ risk of falling is affected by individual characteristic s, their state of chronic illness, the unit of the emergency department where they are, and the reason for their admittance to the emergency department.
Genetic interactions associated with 12mo atrophy in hippocampus and entorhinal cortex in ADNI

Missing heritability in late onset Alzheimer disease (LOAD) can be attributed, at least in part, to heterogeneity in disease status and to the lack of statistical analyses exploring genetic interactions. In the current study, we use quantitative intermediate phenotypes derived from MRI data available from the Alzheimer's Disease Neuroimaging Initiative (ADNI), and we test for association with gene-gene interactions within biological pathways. Regional brain volumes from the hippocampus (HIP) and entorhinal cortex (EC) were estimated from baseline and 12 month MRI scans. Approximately 560,000 SNPs were available genome-wide. We tested all pairwise SNP-SNP interactions (~151 million) within 212 KEGG pathways for association with 12-month regional atrophy rates using linear regression, with gender, APOE ε4 carrier status, age, education and clinical status as covariates. A total of 109 SNP-SNP interactions were associated with right HIP atrophy, and 125 were associated with right EC atrophy. Enrichment analysis indicated significant SNP-SNP interactions were overrepresented in the calcium signaling and axon guidance pathways for both HIP and EC atrophy and in the ErbB signaling pathway for HIP atrophy.