Angola News Wire

For Breshna Salaam, the Taliban’s return to power in Afghanistan last year meant a return to the same extreme poverty she and her mother had experienced under the Taliban’s first time in control of the country.

In 1996, the Taliban fired Salaam’s mother from a public service job, denying the widow and her daughter their only source of income. In August 2021, with her mother retired, the Taliban fired Salaam from a job at the Ministry of Agriculture.

Deprived of work and education in her own country, she applied for graduate programs abroad and was offered a scholarship at New York University.

“I cried out of happiness when I received news of the scholarship,” Salaam told VOA.

But her happiness did not last long.

First, she had to pay more than $2,000 in bribes to get a new passport and a short-term visa to Pakistan, where she needs to submit a student visa application at the U.S. embassy. The embassy in Afghanistan remains closed since the Taliban entered Kabul last year.

“I had to literally beg relatives and friends for money to pay for the passport and the Pakistani visa,” she said.

And, there are more expenses she has to cover.

“I have to buy a flight ticket to Islamabad, pay for my accommodation in Islamabad, have to pay $510 for U.S. visa fees, and finally, if I’m given a visa, I will have to buy my ticket to New York,” said Salaam, adding that she had no means to pay all the required expenses on her own.

Staff at her U.S. university contributed $350 for her SEVIS fee, a payment to the U.S. Department of Homeland Security required from all international students before they submit an F-1 student visa application. Students also have to pay a $160 F-1 visa fee to the U.S. embassy. Both fees are non-refundable, even if the visa is denied.

Calls for help unanswered

Over the past four months, more than 500 U.S. academics and human rights activists have signed at least two appeal letters to the White House and the Department of State calling for assistance for Afghan scholars, particularly women, who strive to come to the United States to continue their education.

“We are deeply concerned about the lives and well-being of these Afghan academics, especially women,” reads a June 21 letter signed by academics from more than 20 U.S. colleges and universities. It is addressed to Secretary of State Antony Blinken.

The letter criticizes the delays and rejections of student visas for Afghan scholars – even while a fully funded stipend and scholarship is provided by the inviting university – and calls on Blinken to personally intervene “to rectify this shameful situation.”

“We have received no response to the letter,” Chloe Breyer, executive director of the Interfaith Center of New York and a signee of the letter, told VOA.

In a separate letter sent to U.S. President Joe Biden in February, more than 450 academic organizations and individuals made a similar call for support for at-risk Afghan scholars.

“Please help facilitate access to our colleges and universities for the many Afghan scholars and students, who deserve our continued support and investment,” the letter asked Biden.

“We have received no updates from the U.S. government,” Edward Liebow, executive director of the American Anthropological Association, told VOA.

More than 80,000 Afghans have come to the U.S. over the past 10 months, mostly through Operation Allies Welcome, a U.S. government program designed to resettle former U.S. Afghan allies and at-risk individuals.

U.S. officials have repeatedly voiced support for Afghan women and minorities whose fundamental rights are reportedly violated under Taliban leadership.

Visa fees

Already one of the poorest countries in the world, Afghanistan has plunged deeper into poverty over the past 10 months largely due to a cessation of foreign development aid, rampant unemployment, and international banking and economic sanctions imposed on the Taliban leadership. Afghan women, deprived of work and education, are particularly suffering the brunt of the harsh poverty, aid agencies say.

To help Afghan scholars, U.S. academics have called on the Department of State to waive the student visa fees.

“The cost of J-1 visas for academics and F-1 for students is a non-refundable fee of $160, a considerable challenge to most applicants, with further expense for those with family, each of whom pays the same fee,” said Breyer.

A spokesperson for the Department of State said there is no exception in visa fees for Afghan students.

“The department does not have the authority to waive visa fees on an ad hoc basis and the department’s regulations contain no exemption from the payment of visa fees that would apply to Afghan students, in general,” the spokesperson told VOA.

For Breshna Salaam, the SEVIS and visa fees are as much an impediment to her education as are the Taliban’s outright denials of her right to work and learn.

“I hear a lot from U.S. officials in the media that they support the right of Afghan women and girls to education and work, but it would be good to see some actions like waiving student visa fees for Afghan women or making the visa process a little easier so we don’t have to travel to a third country only to submit a visa application,” Salaam said.

More than 914,000 international students were enrolled at U.S. academic centers in 2021, of which 354 were from Afghanistan, according to the Institute of International Education.

Source: Voice of America

In a blow to the fight against climate change, the Supreme Court on Thursday limited how the nation’s main anti-air pollution law can be used to reduce carbon dioxide emissions from power plants.

By a 6-3 vote, with conservatives in the majority, the court said that the Clean Air Act does not give the Environmental Protection Agency broad authority to regulate greenhouse gas emissions from power plants that contribute to global warming.

The court’s ruling could complicate the administration’s plans to combat climate change. Its proposal to regulate power plant emissions is expected by the end of the year.

President Joe Biden aims to cut the nation’s greenhouse gas emissions in half by the end of the decade and to have an emissions-free power sector by 2035. Power plants account for roughly 30% of carbon dioxide output.

The justices heard arguments in the case on the same day that a United Nations panel’s report warned that the effects of climate change are about to get much worse, likely making the world sicker, hungrier, poorer and more dangerous in the coming years.

The power plant case has a long and complicated history that begins with the Obama administration’s Clean Power Plan. That plan would have required states to reduce emissions from the generation of electricity, mainly by shifting away from coal-fired plants.

But that plan never took effect. Acting in a lawsuit filed by West Virginia and others, the Supreme Court blocked it in 2016 by a 5-4 vote, with conservatives in the majority.

With the plan on hold, the legal fight over it continued. But after President Donald Trump took office, the EPA repealed the Obama-era plan. The agency argued that its authority to reduce carbon emissions was limited and it devised a new plan that sharply reduced the federal government’s role in the issue.

New York, 21 other mainly Democratic states, the District of Columbia and some of the nation’s largest cities sued over the Trump plan. The federal appeals court in Washington ruled against both the repeal and the new plan, and its decision left nothing in effect while the new administration drafted a new policy.

Adding to the unusual nature of the high court’s involvement, the reductions sought in the Obama plan by 2030 already have been achieved through the market-driven closure of hundreds of coal plants.

Power plant operators serving 40 million people called on the court to preserve the companies’ flexibility to reduce emissions while maintaining reliable service. Prominent businesses that include Apple, Amazon, Google, Microsoft and Tesla also backed the administration.

Nineteen mostly Republican-led states and coal companies led the fight at the Supreme Court against broad EPA authority to regulate carbon output.

Source: Voice of America

Future waves of COVID-19 might be predicted using internet search data, according to a study published in the journal Scientific Reports.

In the study, researchers watched the number of COVID-related Google searches made across the country and used that information, together with conventional COVID-19 metrics such as confirmed cases, to predict hospital admission rates weeks in advance.

Using the search data provided by Google Trends, scientists were able to build a computational model to forecast COVID-19 hospitalizations. Google Trends is an online portal that provides data on Google search volumes in real time.

“If you have a bunch of people searching for ‘COVID testing sites near me’ … you’re going to still feel the effects of that downstream at the hospital level in terms of admissions,” said data scientist Philip Turk of the University of Mississippi Medical Center, who was not involved in the study. “That gives health care administrators and leaders advance warning to prepare for surges — to stock up on personal protective equipment and staffing and to anticipate a surge coming at them.”

For predictions one or two weeks in advance, the new computer model stacks up well against existing ones. It beats the U.S. Centers for Disease Control and Prevention’s “national ensemble” forecast, which combines models made by many research teams — though there are some single models that outperform it.

Different perspective

According to study co-author Shihao Yang, a data scientist at the Georgia Institute of Technology, the new model’s value is its unique perspective — a data source that is independent of conventional metrics. Yang is working to add the new model to the CDC’s COVID-19 forecasting hub.

Watching trends in how often people Google certain terms, like “cough” or “COVID-19 vaccine,” could help fill in the gaps in places with sparse testing or weak health care systems.

Yang also thinks that his model will be especially useful when new variants pop up. It did a good job of predicting spikes in hospitalizations thought to be associated with new variants such as omicron, without the time delays typical of many other models.

“It’s like an earthquake,” Yang said. “Google search will tell me a few hours ahead that a tsunami is hitting. … A few hours is enough for me to get prepared, allocate resources and inform my staff. I think that’s the information that we are providing here. It’s that window from the earthquake to when the tsunami hit the shore where my model really shines.”

The model considers Google search volumes for 256 COVID-19-specific terms, such as “loss of taste,” “COVID-19 vaccine” and “cough,” together with core statistics like case counts and vaccination rates. It also has temporal and spatial components — terms representing the delay between today’s data and the future hospitalizations it predicts, and how closely connected different states are.

Every week, the model retrains itself using the past 56 days’ worth of data. This keeps the model from being weighed down by older data that don’t reflect how the virus acts now.

Turk previously developed a different model to predict COVID-19 hospitalizations on a local level for the Charlotte, North Carolina, metropolitan area. The new model developed by Yang and his colleagues uses a different method and is the first to make state- and national-level predictions using search data.

Turk was surprised by “just how harmonious” the result was with his earlier work.

“I mean, they’re basically looking at two different models, two different paths,” he said. “It’s a great example of science coming together.”

Using Google search data to make public health forecasts has downsides. For one, Google could stop allowing researchers to use the data at any time, something Yang admits is concerning to his colleagues.

‘Noise’ in searches

Additionally, search data are messy, with lots of random behavior that researchers call “noise,” and the quality varies regionally, so the information needs to be smoothed out during analysis using statistical methods.

Local linguistic quirks can introduce problems because people from different regions sometimes use different words to describe the same thing, as can media coverage when it either raises or calms pandemic fears, Yang said. Privacy protections also introduce complications — user data are aggregated and injected with extra noise before publishing, a protection that makes it impossible to fish out individual users’ information from the public dataset.

Running the model with search data alone didn’t work as well as the model with search data and conventional metrics. Taking out search data and using only conventional COVID-19 metrics to make predictions also hurt the new model’s performance. This indicates that, for this model, the magic is in the mix — both conventional COVID-19 metrics and Google Trends data contain information that is useful for predicting hospitalizations.

“The fact that the data is valuable, and [the] data [is] difficult to process are two independent questions. There [is] information in there,” Yang said. “I can talk to my mom about this. It’s very simple, just intuitive. … If we are able to capture that intuition, I think that’s what makes things work.”

Source: Voice of America