Pain is an inherent part of human existence, manifesting as both physical and emotional experiences, and can be categorized as either acute or chronic. Over the years, extensive research has been conducted to understand the causes of pain and explore potential treatments, with contributions from various scientific disciplines. However, earlier studies often overlooked the role of gender in pain experiences. In this study, we utilized Natural Language Processing (NLP) to analyze and gain deeper insights into individuals' pain experiences, with a particular focus on gender differences. We successfully classified posts into male and female corpora using the Hidden Attribute Model-Convolutional Neural Network (HAM-CNN), achieving an F1 score of 0.86 by aggregating posts based on usernames. Our analysis revealed linguistic differences between genders, with female posts tending to be more emotionally focused. Additionally, the study highlighted that conditions such as migraine and sinusitis are more prevalent among females and explored how pain medication affects individuals differently based on gender.

In the 2023 blockbuster, Robots, Shailene Woodley and Jack Whitehall star as singletons who send robot'doubles' of themselves out on dates. While this might sound far-fetched, it could soon become a reality. Speaking at the Bloomberg Tech Summit, Herd, 34, claimed that daters could soon use an'AI dating concierge' to go out on hundreds of dates for them. 'If you want to get really out there, there is a world where your [AI] dating concierge could go and date for you with other dating concierge,' she said. In the 2023 blockbuster, Robots, Shailene Woodley and Jack Whitehall star as singletons who send robot'doubles' of themselves out on dates.

"In the end it was the data that killed me," says Penny* about her decision to leave the dating app Bumble. If she opened the app she might receive 100 likes, 25% of which she might be interested in. She would look at their profiles and write individualised messages; a few would respond, perhaps one would result in a date. "That's a lot of effort to get one date," she says. Bumble, billed as the feminist Tinder when it launched in 2014, this week announced it was taking action to relieve the administrative burden on its female users.

In recent years, bikesharing systems have become increasingly popular as affordable and sustainable micromobility solutions. Advanced mathematical models such as machine learning are required to generate good forecasts for bikeshare demand. To this end, this study proposes a machine learning modeling framework to estimate hourly demand in a large-scale bikesharing system. Two Extreme Gradient Boosting models were developed: one using data from before the COVID-19 pandemic (March 2019 to February 2020) and the other using data from during the pandemic (March 2020 to February 2021). Furthermore, a model interpretation framework based on SHapley Additive exPlanations was implemented. Based on the relative importance of the explanatory variables considered in this study, share of female users and hour of day were the two most important explanatory variables in both models. However, the month variable had higher importance in the pandemic model than in the pre-pandemic model.

When a survey in 2015 revealed that more than half of Guangzhou's female commuters had experienced some form of sexual harassment ("inappropriate touching") on public transport, a handful of Chinese cities began reserving subway cars for female commuters. But the designated carriages, which were sometimes labelled in pink Chinese characters with floral adornments, did little to deter men from squeezing aboard. "When everyone is rushing to work, no one cares whether it is a female-only car or not," one commuter complained on weibo. Indeed, many men have either blatantly ignored the restrictions or were oblivious to women-only subway carriages. Enforcement has lacked teeth – in part because the metro system is so overcrowded.

Tinder's new update will allow female users to take the lead in conversations with matches in a setting dubbed "women-talk-first." The dating app's new feature is optional for female users. By entering the app's settings, women will soon be able to change it so that they are required to initiate dialogue before men. Therefore, this feature would allow for women to not be on the receiving end of an assortment of messages from every person they'd ever matched with. Match Group, a company that operates Tinder alongside other dating websites, claimed the change is great for women if they don't mind the "pressure" of initiating a conversation with a new match.

Men are far more aggressive on online dating sites - but often'mass mail' women that are out of their league in the hope of a response, researchers have found. They say that by comparison, women tend to be more conscious of their own attractiveness to other users and approach fewer people. The study found major behavioural differences between male and female users when it comes to contacting potential partners. The researchers say men are far more aggressive on online dating sites - but often'mass mail' women that are out of their league in the hope of a response, researchers have found. Using data collected from Baihe, one of the largest dating websites in China, researchers from Binghamton University, University of Massachusetts Lowell and Northeastern University analysed the messages and how suitable each person actually was.