Leipzig : G. Thieme, 1890-1891.

Berlin : A. Hirschwald, 1873.

London : John Murray, 1876.

Stuttgart : F. Enke, 1895.

[London?], [between 1730 and 1753]

Romae [Rome] (ad Pasquinum) : Venit ... apud Montagnani-Mirabili, [1805?]

The agreement stems from a class-action civil rights lawsuit filed against the Flint schools, Michigan education department and the Genessee County Intermediate School District.

Rockville, Maryland : National Institute on Drug Abuse, 1995.

São Paulo : Governo do Estado de Sao Paulo, Secretaria da Segurança Pública, 1975.

São Paulo : Serviço Grafíco da Secretaria da Segurança Pública, 1976.

We propose graph-dependent implicit regularisation strategies for synchronised distributed stochastic subgradient descent (Distributed SGD) for convex problems in multi-agent learning. Under the standard assumptions of convexity, Lipschitz continuity, and smoothness, we establish statistical learning rates that retain, up to logarithmic terms, single-machine serial statistical guarantees through implicit regularisation (step size tuning and early stopping) with appropriate dependence on the graph topology. Our approach avoids the need for explicit regularisation in decentralised learning problems, such as adding constraints to the empirical risk minimisation rule. Particularly for distributed methods, the use of implicit regularisation allows the algorithm to remain simple, without projections or dual methods. To prove our results, we establish graph-independent generalisation bounds for Distributed SGD that match the single-machine serial SGD setting (using algorithmic stability), and we establish graph-dependent optimisation bounds that are of independent interest. We present numerical experiments to show that the qualitative nature of the upper bounds we derive can be representative of real behaviours.

Increasing number of sectors which affect human lives, are using Machine Learning (ML) tools. Hence the need for understanding their working mechanism and evaluating their fairness in decision-making, are becoming paramount, ushering in the era of Explainable AI (XAI). In this contribution we introduced a few intrinsically interpretable models which are also capable of dealing with missing values, in addition to extracting knowledge from the dataset and about the problem. These models are also capable of visualisation of the classifier and decision boundaries: they are the angle based variants of Learning Vector Quantization. We have demonstrated the algorithms on a synthetic dataset and a real-world one (heart disease dataset from the UCI repository). The newly developed classifiers helped in investigating the complexities of the UCI dataset as a multiclass problem. The performance of the developed classifiers were comparable to those reported in literature for this dataset, with additional value of interpretability, when the dataset was treated as a binary class problem.

Disaggregation regression has become an important tool in spatial disease mapping for making fine-scale predictions of disease risk from aggregated response data. By including high resolution covariate information and modelling the data generating process on a fine scale, it is hoped that these models can accurately learn the relationships between covariates and response at a fine spatial scale. However, validating these high resolution predictions can be a challenge, as often there is no data observed at this spatial scale. In this study, disaggregation regression was performed on simulated data in various settings and the resulting fine-scale predictions are compared to the simulated ground truth. Performance was investigated with varying numbers of data points, sizes of aggregated areas and levels of model misspecification. The effectiveness of cross validation on the aggregate level as a measure of fine-scale predictive performance was also investigated. Predictive performance improved as the number of observations increased and as the size of the aggregated areas decreased. When the model was well-specified, fine-scale predictions were accurate even with small numbers of observations and large aggregated areas. Under model misspecification predictive performance was significantly worse for large aggregated areas but remained high when response data was aggregated over smaller regions. Cross-validation correlation on the aggregate level was a moderately good predictor of fine-scale predictive performance. While the simulations are unlikely to capture the nuances of real-life response data, this study gives insight into the effectiveness of disaggregation regression in different contexts.

Grant (Family)

French translation of "Basel III: Finalising post-crisis reforms", December 2017.

French translation of the BIS press release about the BIS Quarterly Review, December 2018

The exact molecule behind the Minamata mercury disaster, caused by a chemical plant’s wastewater, remains a point of disagreement

Study suggests alleged exoplanet may have been a cloud of asteroid debris

No global real estate market despite higher price synchronisation and growing role of international investors, central banks find (Press release, 18 February 2020)

Interview with Ms Isabel Schnabel, Member of the Executive Board of the European Central Bank, in To Vima (Greek daily newspaper), conducted by Mr Angelos Athanasopoulos and published on 4 April 2020.

Remarks by Ms Isabel Schnabel, Member of the Executive Board of the European Central Bank, at a 24-Hour Global Webinar co-organised by the SAFE Policy Center on "The COVID-19 Crisis and Its Aftermath: Corporate Governance Implications and Policy Challenges", Frankfurt am Main, 16 April 2020.

Speech by Mr Mugur Isărescu, Governor of the National Bank of Romania, Bucharest, 29 April 2020.

Darin Isaac has been elected chief of the Selkirk First Nation while Jeremy Harper, Morris Morrison, Carmen Lee Baker and Ashley Edzerza were voted in as councillors. Cody Sims has been elected youth councillor.

Cardinal Robert Sarah, head of the Vatican's liturgy office, claims he never signed a petition claiming the coronavirus is an over-hyped "pretext" to deprive the faithful of Mass.

Team Homan, Canada’s 2018 Olympic women’s curling team and the 2017 World Women’s Curling Champions have announced that the team has parted ways with lead Lisa Weagle. 

Let go last week after a decade-long run with skip Rachel Homan's Ottawa-based rink, lead Lisa Weagle has joined Team Jennifer Jones, which will operate with five members.

The time was right for Lisa Weagle to join forces with Olympic champion Jennifer Jones. Jones told CBC Sports' Anastasia Bucsis that the latest addition to her five-person rink "was like the clouds parted and the sun came out."

OM workers share how God answered prayers for visas to stay in North Africa.

Words: Abbie Lyall

NEATEBOX, the Scottish technology firm which specialises in improving accessibility for people with disabilities, has been accepted into an accelerator programme run by Royal Bank of Scotland.

St Kilda

Construction work on the NHS Louisa Jourdan will conclude today with the hospital standing operationally ready to treat patients from tomorrow.

Popularized by social media, new classroom arrangements are all the rage in K-12. But experts and educators caution there is more to it than just moving desks around.

Three new studies show that a web of factors appear to influence how often black and Hispanic children are identified for special education compared to similar white peers.

THE Herald has reported (May 6) on another economically and socially “lost generation” of children and young people due to Covid-19.

Until now desktop users had the option to opt-out of the 2017 interface redesign, but next month you'll be forced to use it (and may also need to upgrade to a new browser).

The court was furnished in blond wood. There were no wigs and the accused man wore a jersey. But the informality was in contrast to the gravity of the charges. An army officer was on trial for a war crime: the killing of 11 innocent women and children in Afghanistan.

While state school-finance systems have not changed much over time, they are devoting more targeted help to English language learners and student from low-income backgrounds than in the past, a new study finds.

Two OMers were asked to help a church network deliver relief supplies to churches in Kumamoto after two large earthquakes had struck the area.

Chronic fatigue syndrome (CFS) is a disabling illness. Some children with chronic disabling fatigue are housebound. Some primary care physicians find making the diagnosis of CFS difficult.

Chronic disabling fatigue is more common in 13-year-olds than previously realized with a population prevalence of ~2.0%. Chronic disabling fatigue in teenagers is more common in those with higher levels of early family adversity. (Read the full article)

Outcomes analyses after trauma reveal long-term disability but are limited to specific injuries, older data, or all ages combined. There are no contemporary assessments of physical disability among children after inpatient rehabilitation for a wide range of traumatic injuries.

This is the first contemporary study to describe the physical disability of a large pediatric cohort after inpatient rehabilitation for various injuries. After a mean 21-day inpatient rehabilitation stay, significant reductions in functional disability were achieved across injury mechanisms. (Read the full article)

Previous studies report Hispanic adults have lower access to rehabilitation services, especially among those who only speak Spanish, and higher disability after traumatic brain injury (TBI) compared with non-Hispanic white subjects. No studies have examined disparities in disability after TBI for Hispanic children.

Hispanic children experience disparities in long-term disability after TBI. Compared with non-Hispanic white children, Hispanic children report significantly larger reductions in health-related quality of life, participation in activities, and ability to communicate and care for themselves 3 years after injury. (Read the full article)

Previous research on potential deleterious effects of typically developing children growing up in households with children with disability has produced mixed results. Research methods have been cited as a problem in many studies.

This is the largest known empirical study comparing functional impairment in siblings living with a child with disability and siblings residing with children who are typically developing. This study also follows the trajectory of functional impairment across 2 measurement periods. (Read the full article)

Previous studies have reported that former late preterm infants are at increased risk for future learning and behavioral problems; thus it has been suggested that their development be closely monitored.

This population-based study indicates that the risk for attention deficit/hyperactivity disorder and learning disabilities may not be higher in former late preterm infants, and therefore intensive neurodevelopmental follow-up may not be required for all late preterm infants. (Read the full article)

Mothers of children with neurodevelopmental disabilities often experience poor health, high stress, anxiety, and depression. Highly stressed parents are less effective in their parenting roles, risking their children's developmental progress.

Evidence-based interventions in mindfulness and positive psychology significantly reduce distress in mothers of children with disabilities. Well-trained peer-mentors are effective interventionists. Adult-oriented services are needed for these mothers to improve their mental health and sustain their caregiving over the long-term. (Read the full article)