Goto

Collaborating Authors

 Health & Hygiene Products


They said their toothpaste was the best for my daughter... then I read the sickening claims

Daily Mail - Science & tech

Caitlyn Jenner biographer and Robin Riker's ex William Hasley found dead on hiking trail at 78 Disgraceful texts'hot' teacher sent boy, 17, who she had illegal sex with where she moaned about her HUSBAND Everyone always said I cleared my throat a lot. But then I developed shoulder pain and doctors discovered the sinister cause... the world's deadliest cancer. Don't leave it too late like I did Urgent recall for 1.1m vehicles over fears they could spontaneously CATCH FIRE even when parked Leaked transcript of UNAIRED 60 Minutes interview exposes REAL reason'callous' CBS star Scott Pelley'deserved to be fired' Karmelo Anthony's parents seen leaving the courtroom in tears just before son's defense team pulls shock move'Great' mom, 32, tried to gas herself and her three young kids to death after inviting them to'popcorn sleepover' in car, prosecutors allege The porn-fuelled fantasy middle-class husbands are desperate to try with their wives... and it almost always ends in divorce: JANA HOCKING The historic steel mill that helped build America was written off for dead. Medical student, 24, died by suicide in his white coat a day after he was suspended for alleged'inappropriate' behavior towards female patient, lawsuit alleges, as his heartbreaking goodbye note to parents is revealed Furious dad films his partner in bed with his 19-year-old son: You've seen the viral video - now all three tell the Daily Mail what REALLY happened in the scandal gripping Australia Woke Vegas school compared boy to racist cross burner over pro-ICE stickers and expelled him... but did not punish pro-migrant students for class walkout, lawsuit alleges Gaming influencer Alex Cimo dies'very suddenly' aged 32 just a month after'refusing to accept his fate' Mother's final words before she was shot dead'by new husband' in front of her two young children All the backstage gossip from Miami Swim Week: Insider exposes'catty' VIP's diva demands... STEALING... and'morbidly embarrassing' celeb moment everyone is whispering about They said their toothpaste was the best for my daughter... then I read the sickening claims I am the type of mom who reads every label before buying a product for my four-year-old daughter. So when I learned about a lawsuit against a toothpaste marketed as safe, natural and free from artificial dyes and sweeteners, I immediately checked the tube sitting in my bathroom.


5 personal care products that solved real problems in 2025

Popular Science

Technology Best of What's New 5 personal care products that solved real problems in 2025 We may earn revenue from the products available on this page and participate in affiliate programs. In a market saturated with wellness products that promise to fix your whole life but rarely deliver much of anything, this year's personal care winners stand out for actually solving real problems. The 2025 class represents genuine inclusivity and thoughtful design--from a breast pump that goes old school to level up its wearability, to world-class headphones that double as hearing aids and workout coaches. Instead, they address overlooked challenges with smart engineering: making fragrance bottles easier to grip, transforming sleep routines for exhausted parents, and rethinking recovery gear so athletes can soothe strained muscles while on the move. Each winner proves that meaningful innovation happens when companies consider users' actual needs--and use that knowledge to make good products great.


LLMs Reproduce Human Purchase Intent via Semantic Similarity Elicitation of Likert Ratings

arXiv.org Artificial Intelligence

Consumer research costs companies billions annually yet suffers from panel biases and limited scale. Large language models (LLMs) offer an alternative by simulating synthetic consumers, but produce unrealistic response distributions when asked directly for numerical ratings. We present semantic similarity rating (SSR), a method that elicits textual responses from LLMs and maps these to Likert distributions using embedding similarity to reference statements. Testing on an extensive dataset comprising 57 personal care product surveys conducted by a leading corporation in that market (9,300 human responses), SSR achieves 90% of human test-retest reliability while maintaining realistic response distributions (KS similarity > 0.85). Additionally, these synthetic respondents provide rich qualitative feedback explaining their ratings. This framework enables scalable consumer research simulations while preserving traditional survey metrics and interpretability.


New recycling method turns Teflon into toothpaste fluoride

Popular Science

The approach converts the toxic nonstick coating into harmless ingredients. Breakthroughs, discoveries, and DIY tips sent every weekday. The common coating known as Teflon can keep food from sticking to cookware, but it's notoriously difficult to break down safely. Now, researchers in the United Kingdom have discovered a simple and cost-effective solution to the problem. The results aren't simply eco-friendly--they can also be upcycled into helpful toothpaste and drinking water additives.


HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning

arXiv.org Artificial Intelligence

Large language models (LLMs) have shown remarkable capabilities in commonsense reasoning; however, some variations in questions can trigger incorrect responses. Do these models truly understand commonsense knowledge, or just memorize expression patterns? To investigate this question, we present the first extensive robustness evaluation of LLMs in commonsense reasoning. We introduce HellaSwag-Pro, a large-scale bilingual benchmark consisting of 11,200 cases, by designing and compiling seven types of question variants. To construct this benchmark, we propose a two-stage method to develop Chinese HellaSwag, a finely annotated dataset comprising 12,000 instances across 56 categories. We conduct extensive experiments on 41 representative LLMs, revealing that these LLMs are far from robust in commonsense reasoning. Furthermore, this robustness varies depending on the language in which the LLM is tested. This work establishes a high-quality evaluation benchmark, with extensive experiments offering valuable insights to the community in commonsense reasoning for LLMs.


5 personal care innovations that lived up to the hype in 2024

Popular Science

Plenty of personal care products--the treatments and gadgets that fill our medicine cabinets, home gyms, and vanities--promise innovation. Companies that craft cosmetics, supplements, fitness tools, and other wellness aids tend to go hard on buzzwords without putting in the research to make something truly new. That doesn't mean there aren't worthwhile, forward-thinking personal care products available, though, and this year brought some notable offerings. From high-tech sleep and activity trackers that make peak performance possible to cutting-edge hair dryers that give your scalp a break from burns, these five beauty and wellness products actually back up their big promises. Be sure to read the full list of the 50 greatest innovations of 2024.)


Simulating Human-like Daily Activities with Desire-driven Autonomy

arXiv.org Artificial Intelligence

Existing task-oriented AI agents often depend on explicit instructions or external rewards, limiting their ability to be driven by intrinsic motivations like humans. In this paper, we present a desire-driven autonomy framework to guide a Large Language Model-based (LLM-based) agent to simulate human-like daily activities. In contrast to previous agents, our Desire-driven Autonomous Agent (D2A) operates on the principle of intrinsic desire, allowing it to propose and select tasks that fulfill its motivational framework autonomously. Inspired by the Theory of Needs, the motivational framework incorporates an understanding of human-like desires, such as the need for social interaction, personal fulfillment, and self-care. Utilizing a desire-driven task generation mechanism, the agent evaluates its current state and takes a sequence of activities aligned with its intrinsic motivations. Through simulations, we demonstrate that our Desire-driven Autonomous Agent (D2A) generates coherent, contextually relevant daily activities while exhibiting variability and adaptability similar to human behavior. A comparative analysis with other LLM-based frameworks demonstrates that our approach significantly enhances the rationality of the simulated activities.


Brush, floss, mouthwash: Dentists reveal what they believe is the correct order

FOX News

Robotic dentistry is becoming a reality. Your dentist may remind you to brush, floss and mouthwash โ€“ but what is the "right" order to do it? While all steps of oral hygiene can benefit dental health, Dr. Mike Wei, DDS, of New York City, shared with Fox News Digital that he'd recommend the below order. Starting with floss helps to remove food debris and plaque between the teeth and along the gumline, which a toothbrush "may not reach effectively," according to Wei. Dr. Ellie Phillips (not pictured) recommends using xylitol gum and mints to promote healthy salivary flow.


14 Great Deals on Robot Vacs, Oral Care Gadgets, and More

WIRED

It's a perfect time to start focusing a little more on self-care. As beautiful fall turns into winter, we tend to hunker down in our houses, getting less sun and fresh air and spending more time under the covers. But between scares, you might want to browse these deals on gadgets that should help make you feel good all around. Special offer for Gear readers: Get a 1-year Subscription to WIRED for $5 ($25 off). This includes unlimited access to WIRED.com and our print magazine (if you'd like). Subscriptions help fund the work we do every day.


What can your microwave tell you about your health?

#artificialintelligence

For many of us, our microwaves and dishwashers aren't the first thing that come to mind when trying to glean health information, beyond that we should (maybe) lay off the Hot Pockets and empty the dishes in a timely way. But we may soon be rethinking that, thanks to new research from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL). The system, called "Sapple," analyzes in-home appliance usage to better understand our health patterns, using just radio signals and a smart electricity meter. Taking information from two in-home sensors, the new machine learning model examines use of everyday items like microwaves, stoves, and even hair dryers, and can detect where and when a particular appliance is being used. For example, for an elderly person living alone, learning appliance usage patterns could help their health-care professionals understand their ability to perform various activities of daily living, with the goal of eventually helping advise on healthy patterns.