Leaders\u2019 competence and warmth: Their relationships with employees\u2019 well-being and organizational effectiveness

The aim of this work was to investigate competence and warmth \u2014 the two basic dimensions of social judgment \u2014 as dimensions employees use to evaluate their supervisors. A mediation model was tested in which supervisor\u2019s perceived competence and warmth were associated with relevant outcomes (lower burnout, weaker turnover intentions, more frequent citizenship behaviors) through the mediation of affective organizational commitment (AOC). In Study 1, data were collected from employees of a company in the water service sector. In Study 2, participants were financial promoters. In Study 3, the sample included employees from different organizations. As hypothesized, the perception of one\u2019s supervisor as competent (Studies 1-3) and warm (Study 3) was related to employees\u2019 lower burnout, weaker turnover intentions, more frequent prosocial behaviors through the mediation of AOC. Theoretical and practical implications of findings are discussed

The invisible power of fairness. How machine learning shapes democracy

Many machine learning systems make extensive use of large amounts of data regarding human behaviors. Several researchers have found various discriminatory practices related to the use of human-related machine learning systems, for example in the field of criminal justice, credit scoring and advertising. Fair machine learning is therefore emerging as a new field of study to mitigate biases that are inadvertently incorporated into algorithms. Data scientists and computer engineers are making various efforts to provide definitions of fairness. In this paper, we provide an overview of the most widespread definitions of fairness in the field of machine learning, arguing that the ideas highlighting each formalization are closely related to different ideas of justice and to different interpretations of democracy embedded in our culture. This work intends to analyze the definitions of fairness that have been proposed to date to interpret the underlying criteria and to relate them to different ideas of democracy.Comment: 12 pages, 1 figure, preprint version, submitted to The 32nd Canadian Conference on Artificial Intelligence that will take place in Kingston, Ontario, May 28 to May 31, 201

ANALISIS INTERDEPENDENSI FOREIGN DIRECT INVESTMENT (FDI) DENGAN VARIABEL MAKRO EKONOMI

ABSTRAK Tujuan utama dari penelitian ini adalah untuk menganalisis interdependensi antara FDI dengan beberapa variabel yang lain, seperti PDB, Trade, Nilai Tukar, dan Tingkat bunga. Model VAR digunakan untuk menunjukkan pandangan yang komprehensif dari interdependensi ini. Hasil empiris menunjukkan bahwa melalui model VAR, interdependensi antara variabel FDI, PDB, Trade, Nilai Output Industri, Nilai Tukar dan Tingkat Suku Bunga telah diteliti dalam hubungan jangka panjang melalui kointegrasi vektor dan jangka pendek yang berdampak pada model VAR. Korelasi dinamis variabel telah diperoleh dengan analisis varian dan analisis respon impuls. Beberapa implikasi besar muncul dari hasil penelitian. Jika pemerintah Indonesia berkeinginan mendorong FDI dan pertumbuhan ekonomi, hal ini dapat dilakukan dengan output dan nilai tukar. Dalam jangka pendek maupun jangka panjang, keduanya sangat penting untuk stabilitas ekonomi. Kata Kunci : FDI, Pertumbuhan ekonomi, variabel makro dan model VARBanda Ace

Mielopatia cervicale da deposizione periodontoidea di pirofosfato di calcio = Compressive cervical myelopathy due to massive periodontoid calcium pyrophosphate crystal deposition

A 77 year-old man suffering from psoriatic arthropathy presented with progressive myelopathy due to massive deposits of calcium pyrophosphate dihydrate crystals in peri-odontoid tissue. The magnetic resonance imaging and computer tomographic pictures of the involved site are shown and discussed. The clinical spectrum of crystal deposition disease involving the atlo-axial joint is briefly reviewed

The Invisible Power of Fairness. How Machine Learning Shapes Democracy

Many machine learning systems make extensive use of large amounts of data regarding human behaviors. Several researchers have found various discriminatory practices related to the use of human-related machine learning systems, for example in the field of criminal justice, credit scoring and advertising. Fair machine learning is therefore emerging as a new field of study to mitigate biases that are inadvertently incorporated into algorithms. Data scientists and computer engineers are making various efforts to provide definitions of fairness. In this paper, we provide an overview of the most widespread definitions of fairness in the field of machine learning, arguing that the ideas highlighting each formalization are closely related to different ideas of justice and to different interpretations of democracy embedded in our culture. This work intends to analyze the definitions of fairness that have been proposed to date to interpret the underlying criteria and to relate them to different ideas of democracy

Methodologies synthesis

This deliverable deals with the modelling and analysis of interdependencies between critical infrastructures, focussing attention on two interdependent infrastructures studied in the context of CRUTIAL: the electric power infrastructure and the information infrastructures supporting management, control and maintenance functionality. The main objectives are: 1) investigate the main challenges to be addressed for the analysis and modelling of interdependencies, 2) review the modelling methodologies and tools that can be used to address these challenges and support the evaluation of the impact of interdependencies on the dependability and resilience of the service delivered to the users, and 3) present the preliminary directions investigated so far by the CRUTIAL consortium for describing and modelling interdependencies

Creating the cultures of the future: cultural strategy, policy and institutions in Gramsci. Part three: Is there a theory of cultural policy in Gramsci’s prison notebooks?

In this article, I argue that Gramsci’s prison notes on questions of cultural strategy, policy and institutions, which have so far been largely overlooked by scholars, provide further analytical insights to those offered by his more general concepts. Together they enrich the theoretical underpinnings for critical frameworks of analysis as well as for radical practices of cultural strategy, cultural policy-making and cultural organisation. On the basis of a detailed analysis of these notes, I then answer the question of whether they amount to a theory of cultural policy

Autoantibody profile in rheumatoid arthritis during long-term infliximab treatment

The aim of the present study was to investigate the effect of long-term infliximab treatment on various autoantibodies in patients with rheumatoid arthritis. Serum samples from 30 consecutive patients, who were prospectively followed during infliximab and methotrexate therapy for refractory rheumatoid arthritis, were tested at baseline and after 30, 54 and 78 weeks. At these points, median values of the Disease Activity Score were 6.38 (interquartile range 5.30-6.75), 3.69 (2.67-4.62), 2.9 (2.39-4.65) and 3.71 (2.62-5.06), respectively. Various autoantibodies were assessed by standard indirect immunofluorescence and/or ELISA. Initially, 50% of patients were positive for antinuclear antibodies, and this figure increased to 80% after 78 weeks (P=0.029). A less marked, similar increase was found for IgG and IgM anticardiolipin antibody titre, whereas the frequency of anti-double-stranded DNA antibodies (by ELISA) exhibited a transient rise (up to 16.7%) at 54 weeks and dropped to 0% at 78 weeks. Antibodies to proteinase-3 and myeloperoxidase were not detected. The proportion of patients who were positive for rheumatoid factor (RF) was similar at baseline and at 78 weeks (87% and 80%, respectively). However, the median RF titre exhibited a progressive reduction from 128 IU/ml (interquartile range 47-290 IU/ml) to 53 IU/ml (18-106 IU/ml). Anti-cyclic citrullinated peptide (CCP) antibodies were found in 83% of patients before therapy; anti-CCP antibody titre significantly decreased at 30 weeks but returned to baseline thereafter. In conclusion, the presence of anti-double-stranded DNA antibodies is a transient phenomenon, despite a stable increase in antinuclear and anticardiolipin antibodies. Also, the evolution of RF titres and that of anti-CCP antibody titres differed during long-term infliximab therapy

Designing effective public participation

This paper reviews the various connections that can exist between the design of participatory processes and the different kind of results that they can entail. It details how effective participatory processes can be designed, whatever are the results that participation is deemed to elicit. It shows the main trends pertaining to design choicesand considers how to classify different arrangements in order to choose from among them. Then the paper deals with the main dilemmas that tend to arise when designing participatory processes. Thanks to this review, the paper argues that participatory processes tend to display a certain degree of ambivalence that cannot be completely overcome through the design choices

Leavers and Remainers After Brexit: More United Than Divided After All?

Since the British “Brexit referendum” in 2016, tensions between ‘leave’ and ‘remain’ voters have been growing. Using a novel analytical approach based on the full distribution of responses rather than their arithmetic means, Study 1 (N=1,506) showed on average 90% of overlap among Leavers and Remainers across a range of important variables. Even on the variables that are commonly used to illustrate how Leavers and Remainers differ (e.g., prejudice against immigrants), the amount of overlap was larger than 50%. In Study 2 (N=206), we demonstrate the importance of focusing on similarities between groups: Presenting the full distribution of responses from Leavers and Remainers rather than their mean differences caused more accurate perceptions of the actual differences and similarities between both groups and higher perceived intergroup harmony. We conclude that similarities between Leavers and Remainers are substantial and that our proposed approach may help to de-escalate tensions between these and other groups