A Long Island strip club operated as a “thinly disguised brothel” where managers sold dancers to high rollers for sex behind locked, soundproofed doors, an explosive new $2.5 million lawsuit claims.
One child is strip searched every 14 hours, according to data in a report by the Children's Commissioner, with police failing to record an appropriate adult in almost half of recent searches. The ...
Four men face charges, including human trafficking, linked to a Franklin strip club. The investigation into "On The Border Gentleman's Club" dates back to 2020. The case involves additional ...
Prosecutors say a tip to the FBI in 2021 sparked a years-long investigation into an alleged sex trafficking ring. Four men, including a strip club manager, face charges ranging from human trafficking ...
A five-year investigation into a sex-trafficking ring involving the On the Border strip club in Franklin has led to charges against four men, with allegations of trafficking women across multiple ...
On Wednesday, the U.S. House of Representatives passed HR 4371, also known as the Kayla Hamilton Act. The official summary of the bill notes it would “require the Department of Health and Human ...
Samantha (Sam) Silberstein, CFP®, CSLP®, EA, is an experienced financial consultant. She has a demonstrated history of working in both institutional and retail environments, from broker-dealers to ...
Mark Cussen, CMFC, has 13+ years of experience as a writer and provides financial education to military service members and the public. Mark is an expert in investing, economics, and market news.
Abstract: The promotion of the HEVC standard has significantly alleviated the burden of network transmission and video storage. However, its inherent complexity and data dependencies pose a ...
Kristen Yeckley was not happy with her 13-year-old daughter. The principal called on a September afternoon and said the teen was in trouble for having a vape in her Ohio middle school. They searched ...
Abstract: Change detection is a critical task in earth observation applications. Recently, deep-learning-based methods have shown promising performance and are quickly adopted in change detection.