Sentence examples for critical problem with from inspiring English sources

In "A False Balance" (column, Jan . 30, Paul Krugman has hit on a critical problem with today's news reporting.

"The most critical problem with Iran is its aim of achieving nuclear weapons, but the problem with Iran is wider," Mr. Steinitz added.

In fact, records obtained by The Times show that in 2000, after finding a "critical problem" with CSX's reporting, regulators acknowledged that they had treated the railroad with "extreme leniency," pardoning most of its violations.

The reactors will also be cooled by nonexplosive helium gas instead of depending on a steady source of water — a critical problem with the damaged reactors at Japan's Fukushima Daiichi power plant.

"The most critical problem with Iran is its aim of achieving nuclear weapons, but the problem with Iran is wider," added Mr. Steinitz, who led Israel's delegation in a boycott of Mr. Rouhani's speech last week at the United Nations.

However, there is a critical problem with the view that the essence of discrimination is differential treatment rather than disadvantageous treatment.

If there are other critical problems with the Moses revival, I don't detect any.

'We are allowing certain communities to get out of control,' he said, adding that the police also faced critical problems with people from war zones: 'Boy soldiers from Sri Lanka can get into extreme violence.

Dozens of dispossessed and alienated Aboriginal communities across Australia have critical problems with alcohol and drugs, but none has rushed headlong into killing themselves in the way the Tiwis have done.

Executives at the British drug maker GlaxoSmithKline were warned nearly two years ago about critical problems with the way the company conducted research at its drug development center in China, exposing it to potential financial risk and regulatory action, an internal audit found.

The critical problems with many of these services include the barriers involved in transferring large amounts of data (terabytes) and the lack of efficient mechanisms for agile and efficient deployment and management of innovative analytics platforms, including open-source machine learning, data wrangling, classification and visualization tools [63 65].