Publication Date: Apr 10 2020 The SEC will withdraw the existing approval order and the fund will become subject to the requirements of Rule 6c-11 and Nasdaq Rule 5704....

Publication Date: May 4 2020 On May 1, 2020, Nasdaq adopted Rule 5636T, operative through, and including, June 30, 2020, to provide listed companies with a temporary exception from certain shareholder approval requirements. A Company must submit an application to Nasdaq’s Listing Qualifications Department demonstrating that the transaction satisfies the requirements in Rule 5636T and must provide the Notification Form: Listing of Additional Shares (“LAS Form”) required by...

The leak exposed millions of records with full names, emails, user conversations, payment logs, and IP addresses dating back to March.

1 November 2019

The 'Security and Prosperity in Asia' conference looked at the impact of international law in the Asia-Pacific with a focus on regional economic and security issues such as the South China Sea disputes.

Research Event

Event participants

Charu Lata Hogg, Associate Fellow, Asia-Pacific Programme, Chatham House
Hameed Hakimi, Research Associate, Asia-Pacific Programme and Europe Programme, Chatham House
Chair: Champa Patel, Head of Asia-Pacific Programme, Chatham House

8 January 2020 , Volume 96, Number 1

17 January 2020

Research Event

Event participants

K. Anis Ahmed, Publisher, Dhaka Tribune and Bangla Tribune; Author of Good Night, Mr. Kissinger, Co-director, Dhaka Literary Festival
Meenakshi Ganguly, South Asia Director, Human Rights Watch
Chair: Ed Cumming, Writer, The Independent

Storm surge is often the most devastating part of a hurricane. Mathematical models used to predict surge must incorporate the effects of winds, atmospheric pressure, tides, waves and river flows, as well as the geometry and topography of the coastal ocean and the adjacent floodplain. Equations from fluid dynamics describe the movement of water, but most often such huge systems of equations need to be solved by numerical analysis in order to better forecast where potential flooding will occur. Much of the detailed geometry and topography on or near a coast require very fine precision to model, while other regions such as large open expanses of deep water can typically be solved with much coarser resolution. So using one scale throughout either has too much data to be feasible or is not very predictive in the area of greatest concern, the coastal floodplain. Researchers solve this problem by using an unstructured grid size that adapts to the relevant regions and allows for coupling of the information from the ocean to the coast and inland. The model was very accurate in tests of historical storms in southern Louisiana and is being used to design better and safer levees in the region and to evaluate the safety of all coastal regions. For More Information: A New Generation Hurricane Storm Surge Model for Southern Louisiana, by Joannes Westerink et al.

Stents are expandable tubes that are inserted into blocked or damaged blood vessels. They offer a practical way to treat coronary artery disease, repairing vessels and keeping them open so that blood can flow freely. When stents work, they are a great alternative to radical surgery, but they can deteriorate or become dislodged. Mathematical models of blood vessels and stents are helping to determine better shapes and materials for the tubes. These models are so accurate that the FDA is considering requiring mathematical modeling in the design of stents before any further testing is done, to reduce the need for expensive experimentation. Precise modeling of the entire human vascular system is far beyond the reach of current computational power, so researchers focus their detailed models on small subsections, which are coupled with simpler models of the rest of the system. The Navier-Stokes equations are used to represent the flow of blood and its interaction with vessel walls. A mathematical proof was the central part of recent research that led to the abandonment of one type of stent and the design of better ones. The goal now is to create better computational fluid-vessel models and stent models to improve the treatment and prediction of coronary artery disease the major cause of heart attacks. For More Information: Design of Optimal Endoprostheses Using Mathematical Modeling, Canic, Krajcer, and Lapin, Endovascular Today, May 2006.

Stents are expandable tubes that are inserted into blocked or damaged blood vessels. They offer a practical way to treat coronary artery disease, repairing vessels and keeping them open so that blood can flow freely. When stents work, they are a great alternative to radical surgery, but they can deteriorate or become dislodged. Mathematical models of blood vessels and stents are helping to determine better shapes and materials for the tubes. These models are so accurate that the FDA is considering requiring mathematical modeling in the design of stents before any further testing is done, to reduce the need for expensive experimentation. Precise modeling of the entire human vascular system is far beyond the reach of current computational power, so researchers focus their detailed models on small subsections, which are coupled with simpler models of the rest of the system. The Navier-Stokes equations are used to represent the flow of blood and its interaction with vessel walls. A mathematical proof was the central part of recent research that led to the abandonment of one type of stent and the design of better ones. The goal now is to create better computational fluid-vessel models and stent models to improve the treatment and prediction of coronary artery disease the major cause of heart attacks. For More Information: Design of Optimal Endoprostheses Using Mathematical Modeling, Canic, Krajcer, and Lapin, Endovascular Today, May 2006.

What.s in store for our climate and us? It.s an extraordinarily complex question whose answer requires physics, chemistry, earth science, and mathematics (among other subjects) along with massive computing power. Mathematicians use partial differential equations to model the movement of the atmosphere; dynamical systems to describe the feedback between land, ocean, air, and ice; and statistics to quantify the uncertainty of current projections. Although there is some discrepancy among different climate forecasts, researchers all agree on the tremendous need for people to join this effort and create new approaches to help understand our climate. It.s impossible to predict the weather even two weeks in advance, because almost identical sets of temperature, pressure, etc. can in just a few days result in drastically different weather. So how can anyone make a prediction about long-term climate? The answer is that climate is an average of weather conditions. In the same way that good predictions about the average height of 100 people can be made without knowing the height of any one person, forecasts of climate years into the future are feasible without being able to predict the conditions on a particular day. The challenge now is to gather more data and use subjects such as fluid dynamics and numerical methods to extend today.s 20-year projections forward to the next 100 years. For More Information: Mathematics of Climate Change: A New Discipline for an Uncertain Century, Dana Mackenzie, 2007.

What.s in store for our climate and us? It.s an extraordinarily complex question whose answer requires physics, chemistry, earth science, and mathematics (among other subjects) along with massive computing power. Mathematicians use partial differential equations to model the movement of the atmosphere; dynamical systems to describe the feedback between land, ocean, air, and ice; and statistics to quantify the uncertainty of current projections. Although there is some discrepancy among different climate forecasts, researchers all agree on the tremendous need for people to join this effort and create new approaches to help understand our climate. It.s impossible to predict the weather even two weeks in advance, because almost identical sets of temperature, pressure, etc. can in just a few days result in drastically different weather. So how can anyone make a prediction about long-term climate? The answer is that climate is an average of weather conditions. In the same way that good predictions about the average height of 100 people can be made without knowing the height of any one person, forecasts of climate years into the future are feasible without being able to predict the conditions on a particular day. The challenge now is to gather more data and use subjects such as fluid dynamics and numerical methods to extend today.s 20-year projections forward to the next 100 years. For More Information: Mathematics of Climate Change: A New Discipline for an Uncertain Century, Dana Mackenzie, 2007.

One of the most useful tools in analyzing the spread of disease is a system of evolutionary equations that reflects the dynamics among three distinct categories of a population: those susceptible (S) to a disease, those infected (I) with it, and those recovered (R) from it. This SIR model is applicable to a range of diseases, from smallpox to the flu. To predict the impact of a particular disease it is crucial to determine certain parameters associated with it, such as the average number of people that a typical infected person will infect. Researchers estimate these parameters by applying statistical methods to gathered data, which aren.t complete because, for example, some cases aren.t reported. Armed with reliable models, mathematicians help public health officials battle the complex, rapidly changing world of modern disease. Today.s models are more sophisticated than those of even a few years ago. They incorporate information such as contact periods that vary with age (young people have contact with one another for a longer period of time than do adults from different households), instead of assuming equal contact periods for everyone. The capacity to treat variability makes it possible to predict the effectiveness of targeted vaccination strategies to combat the flu, for instance. Some models now use graph theory and matrices to represent networks of social interactions, which are important in understanding how far and how fast a given disease will spread. For More Information: Mathematical Models in Population Biology and Epidemiology, Fred Brauer and Carlos Castillo-Chavez.

One of the most useful tools in analyzing the spread of disease is a system of evolutionary equations that reflects the dynamics among three distinct categories of a population: those susceptible (S) to a disease, those infected (I) with it, and those recovered (R) from it. This SIR model is applicable to a range of diseases, from smallpox to the flu. To predict the impact of a particular disease it is crucial to determine certain parameters associated with it, such as the average number of people that a typical infected person will infect. Researchers estimate these parameters by applying statistical methods to gathered data, which aren.t complete because, for example, some cases aren.t reported. Armed with reliable models, mathematicians help public health officials battle the complex, rapidly changing world of modern disease. Today.s models are more sophisticated than those of even a few years ago. They incorporate information such as contact periods that vary with age (young people have contact with one another for a longer period of time than do adults from different households), instead of assuming equal contact periods for everyone. The capacity to treat variability makes it possible to predict the effectiveness of targeted vaccination strategies to combat the flu, for instance. Some models now use graph theory and matrices to represent networks of social interactions, which are important in understanding how far and how fast a given disease will spread. For More Information: Mathematical Models in Population Biology and Epidemiology, Fred Brauer and Carlos Castillo-Chavez.

Researcher: Michael C. Ferris, University of Wisconsin-Madison. Moment Title: Providing Power Description: Michael C. Ferris talks about power grids

Consolidated sales of EUR 146.7 million EBITDA (before IFRS 16) increased strongly by EUR 3.8 million to EUR 2.1 million Forecast for 2019 as a whole confirmed Working capital ratio declines by 2 percentage points to 10.6% euromicron AG, a medium-sized technology group and specialist for the digital networking of business and production processes, published its preliminary figures for the first half of 2019 today.

A new study from University of Michigan climate researchers concludes that some of the latest-generation climate models may be overly sensitive to carbon dioxide increases and therefore project future warming that is unrealistically high.

Researchers at Western and Suncor are teaming up to use algae as a way to produce serological test kits for COVID-19 - a new process that overcomes shortfalls of existing processes while saving money.

In these unprecedented times, we are all spending much more time at home and in our gardens. And, now that spring has well and truly arrived, it's the perfect time to get reacquainted with one of our country's busiest workers - the bee.

Do biodiversity losses aggravate transmission of infectious diseases spread by animals to humans? The jury is still out but several scientists say there is a "biodiversity dilution effect" in which declining biodiversity results in increased infectious-disease transmission.

Sovereign nations typically measure economic success in terms of GDP (income) but this approach is risky as it fails to track and measure the impact of this on nature. Inclusive wealth, on the other hand captures financial and produced capital, but also the skills in our workforce (human capital), the cohesion in our society (social capital) and the value of our environment (natural capital).

The good thing about BirdLife is that, as a truly global organisation, we're already great at staying connected, even when we're thousands of miles apart. Here are just a few of the ways our work will carry on over the coming months, even if it's from our living rooms.

In these unusual and tragic times, I am indeed grateful that we are able to connect virtually to continue the business of environmental governance. While the efforts of all your capitals are correctly focused on preventing human suffering, as parts of the world move slowly towards recovery, the environmental agenda remains one of our most powerful insurance policies in preventing future global pandemics like COVID-19.

Research from Chazen Senior Scholar Christian Moser suggests that who gets hired and how much they get paid could make the difference between a startup’s success and its failure.

The surprise player in affecting workplace safety overseas? Multinational buyers.

New Publication: Rules, Procedures and Mechanisms Applicable to Processes under the Cartagena Protocol on Biosafety.

Report of the Fourth Meeting of the Conference of the Parties to the Convention on Biological Diversity Serving as the Meeting of the Parties to the Cartagena Protocol on Biosafety (Advance text)