Prisoner took his own life after terror order had'substantial impact' on mental state, inquest finds A prisoner took his own life after strict terrorism control measures imposed by the government had a substantial impact on his mental state, an inquest jury has concluded. Akhtar Uddin, 35, a builder from east London, died in HMP Wandsworth on Christmas Day 2021 after being jailed the previous year for breaching Terrorism Prevention and Investigation Measures (TPIM). The jury at Inner West London Coroner's Court also found the prison service had failed to provide the support that Uddin needed. Jurors concluded that Uddin died due to an action he took but said that it was not possible to determine whether he intended the outcome to be his death. Prior to being jailed in February 2020 for breaching the TPIM order, Uddin had served a sentence for racially or religiously aggravated harassment.

Brain-related diseases are more sensitive than other diseases due to several factors, including the complexity of surgical procedures, high costs, and other challenges. Alzheimer's disease is a common brain disorder that causes memory loss and the shrinking of brain cells. Early detection is critical for providing proper treatment to patients. However, identifying Alzheimer's at an early stage using manual scanning of CT or MRI scans is challenging. Therefore, researchers have delved into the exploration of computer-aided systems, employing Machine Learning and Deep Learning methodologies, which entail the training of datasets to detect Alzheimer's disease. This study aims to present a hybrid model that combines a CNN model's feature extraction capabilities with an LSTM model's detection capabilities. This study has applied the transfer learning called VGG16 in the hybrid model to extract features from MRI images. The LSTM detects features between the convolution layer and the fully connected layer. The output layer of the fully connected layer uses the softmax function. The training of the hybrid model involved utilizing the ADNI dataset. The trial findings revealed that the model achieved a level of accuracy of 98.8%, a sensitivity rate of 100%, and a specificity rate of 76%. The proposed hybrid model outperforms its contemporary CNN counterparts, showcasing a superior performance.

MIYAZAKI – Like many of Japan's smaller cities, Miyazaki has been hit by a growing labor crunch, a trend highlighted by the mere 56.8 percent of high school graduates that chose to remain in the prefecture to work -- the third worst among the country's 47 prefectures. In the hard-hit information technology sector, the city has been encouraging firms to run businesses there to help energize the area, said Tsugunobu Ogino, president of KJS Co., a Miyazaki-based IT firm that makes e-learning systems. "But they are struggling to find engineers, since many move to Tokyo," he said. Now, the city in the southern Kyushu region may have found an unexpected solution, one thousands of kilometers away: Bangladesh. The South Asian nation faces a scenario that is almost the complete inverse of Japan -- there are simply not enough jobs for its ample working population.