Toddlers engage more regions of their brains around 16-months to help them develop important cognitive skills enabling them to follow simple instructions and control impulses. Findings from the study suggests 16 months is a critical period for brain development.
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Child-friendly cities prioritize safe environments, healthcare, education, green spaces, and children's participation in decision-making processes. However, children are consulted only for ideas and often excluded from public spaces. A study tackled pedestrian safety around school zones using child-inclusive participatory planning. Their approach included field work, community mapping, and collaborative solution development. Children effectively identified safety risks, shaping a robust safety plan with potential to significantly enhance community safety.
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Toddlers engage more regions of their brains around 16-months to help them develop important cognitive skills enabling them to follow simple instructions and control impulses. Findings from the study suggests 16 months is a critical period for brain development.
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People tend to become less narcissistic as they age from childhood through older adulthood. However, differences among individuals remain stable over time -- people who are more narcissistic than their peers as children tend to remain that way as adults, the study found.
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Investigators analyzing the potential cognitive effects of antidiabetic medications in records of more than 1.5 million patients with type 2 diabetes mellitus (T2DM) found risks of dementia and Alzheimer's disease (AD) were significantly lower in patients treated with metformin and sodium glucose co-transporter-2 inhibitors (SGLT-2i) compared to other antidiabetic drugs.
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Chronic pain, particularly neuropathic pain resulting from nerve damage, significantly impacts quality of life for many individuals. Conventional treatments, such as opioids, often come with severe side effects like addiction, tolerance, and constipation, making them less ideal for long-term management.
Recent research published in the journal PAIN explores an alternative: terpenes from Cannabis sativa. The study found that certain terpenes are as effective as morphine in reducing chronic neuropathic pain. Furthermore, combining terpenes with morphine enhanced pain relief without increasing side effects.
Previous studies have shown that the primary cannabinoids in Cannabis, tetrahydrocannabinol (THC) and cannabidiol (CBD), can manage chronic pain, but their effectiveness is moderate, and THC often causes psychoactive side effects. This led researchers to investigate terpenes, the aromatic compounds in plants, which may offer pain relief without these drawbacks. The study aimed to determine if terpenes could manage chronic pain effectively and safely.
Researchers led by John Streicher of the University of Arizona focused on five terpenes commonly found in Cannabis: alpha-humulene, beta-caryophyllene, beta-pinene, geraniol, and linalool. They used a mouse model of chemotherapy-induced neuropathic pain, which mimics chronic pain conditions in humans.
Mice were treated with paclitaxel, a chemotherapy drug, to induce neuropathic pain. Their pain responses were measured using mechanical sensitivity tests. The mice then received either one of the terpenes, morphine, or a combination of both. Researchers evaluated the pain relief provided by each treatment by observing changes in pain sensitivity over time.
Each of the five terpenes tested provided significant pain relief comparable to morphine. This was a remarkable discovery, suggesting that terpenes alone could be potent pain relievers.
“A question that we’ve been very interested in is could terpenes be used to manage chronic pain?” said Streicher. “What we found is that terpenes are really good at relieving a specific type of chronic pain with side effects that are low and manageable.”
When combined with morphine, terpenes enhanced the pain relief effects without increasing the negative side effects associated with opioids. This combination therapy could allow for lower doses of morphine, reducing the risk of addiction and other side effects.
Terpenes did not show any rewarding or addictive properties in the mice, suggesting a lower risk of addiction. Additionally, terpenes did not produce significant tolerance over time, meaning their effectiveness did not diminish with repeated use, unlike morphine.
“That was really striking to us, but just because something relieves pain doesn’t necessarily mean it’s going to be a good therapy,” Streicher said. “This brings up the idea that you could have a combination therapy, an opioid with a high level of terpene, that could actually make the pain relief better while blocking the addiction potential of opioids. That’s what we are looking at now.”
The researchers identified that the terpenes likely relieve pain by activating the adenosine A2A receptor, particularly in the spinal cord. This receptor plays a role in reducing pain and inflammation, providing a new target for pain management strategies.
While the study presents promising results, there are several limitations and considerations for future research. The study was conducted in mice, and while animal models provide valuable insights, human physiology can respond differently. Clinical trials in humans are necessary to confirm the efficacy and safety of terpenes for pain relief.
The researchers also found that terpenes had limited effectiveness when administered orally or via inhalation, which are more practical for human use. Future research should focus on improving the bioavailability of terpenes through advanced formulation techniques, such as nanoparticle delivery systems.
“A lot of people vape or smoke terpenes as part of cannabis extracts that are available commercially in states where cannabis use is legal,” Streicher said. “We were surprised to find that the inhalation route didn’t have an impact in this study, because there are a lot of at least anecdotal reports saying that you can get the effects of terpenes whether taken orally or inhaled. Part of the confounding factor is that terpenes smell quite nice and it’s hard to disguise that aroma, so people could be kind of having the psychosomatic placebo-style effect.”
The study, “Terpenes from Cannabis sativa induce antinociception in a mouse model of chronic neuropathic pain via activation of adenosine A2A receptors,” was authored by Abigail M. Schwarz, Attila Keresztes, Thai Bui, Ryan J. Hecksel, Adrian Peña, Brianna Lent, Zhan-Guo Gao, Martín Gamez-Rivera, Caleb A. Seekins, Kerry Chou, Taylor L. Appel, Kenneth A. Jacobson, Fahad A. Al-Obeidi, and John M. Streicher.
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A new study published in Evolutionary Psychology reported that competence and prosociality independently increase compassion and willingness to help others.
Why do we help others at a personal cost? Altruistic behavior seemingly challenges traditional evolutionary theories that focus on self-interest. Reciprocal altruism suggests such behaviors can evolve if the help is anticipated to be reciprocated in the future. Cues of this reciprocity include the recipient’s competence and willingness to make sacrifices; thus, if one lacks these traits, helping them might not reap any future benefits.
Researchers Ryo Oda and colleagues recruited 209 Japanese speaking participants. They were presented with four scenarios, each featuring a character who had lost their job. These characters varied in their prosocial tendencies (e.g., diligent, caring vs. unreliable, lazy) and the controllability of their job loss (i.e., due to employer bankruptcy vs. oversleeping).
After each scenario, they responded to comprehension check items ensuring their understanding of the scenario. Participants then rated their feelings of responsibility, trust, compassion, and sympathy toward the characters on a scale of 1 (I do not feel this at all) to 9 (I feel this strongly). They also rated their willingness to help the characters by engaging in four hypothetical helping behaviors with different costs (i.e.,, words of encouragement, helping with job search, loaning money, giving money).
The results revealed that both the prosociality of the characters and the controllability of their distress independently influenced participants’ feelings of compassion, trust, and willingness to help. That is, participants felt more compassion and trust toward prosocial others, and toward those whose distress was uncontrollable.
Willingness to help was higher for prosocial individuals and those facing uncontrollable distress, and decreased as the cost of helping increased. While both factors had significant influence, their effects were independent of each other, suggesting that both prosociality and uncontrollable distress are critical but separate considerations in the decision to help others.
Study 2 built on Study 1 by measuring actual willingness to help by imposing a small but real cost. Four scenarios involving characters whose businesses went bankrupt due to controllable (failure to expand business) or uncontrollable (COVID-19 Pandemic) causes. As in Study 1, the characters varied in their prosocial tendencies. A total of 160 Japanese participants read these scenarios and reported their feelings on a 9-point Likert scale.
Willingness to help was measured using the checkbox method, which required participants to indicate their willingness by sequentially checking boxes on a webpage, with each box representing an incremental level of willingness to help, for a total of 100 boxes. For example, checking 50 boxes would indicate a willingness to help rated as 50 out of 100. The rationale behind this method is that participants incur a small but real cost in terms of time and effort in expressing their willingness to help.
The researchers found that participants felt more compassion and were more willing to help prosocial individuals and those whose distress was due to uncontrollable causes. Indeed, participants checked more boxes for prosocial individuals and those with uncontrollable distress. There was no significant interaction between prosociality and controllability, suggesting that these factors independently influence the decision to help, even when actual costs are involved.
One limitation is that while the checkbox method allowed for measurement of willingness to help with a real cost in terms of time and effort, the vignettes may not have fully captured the nuances of these traits.
The research, “Deciding Who Is Worthy of Help: Effect of the Probability of Reciprocity on Individuals’ Willingness to Help Others”, was authored by Ryo Oda and Natsuki Hayashi.
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Researchers at Boston University have created a groundbreaking artificial intelligence (AI) model capable of predicting whether a person with mild cognitive impairment will develop Alzheimer’s disease within six years, based solely on their speech. This model has shown an impressive accuracy rate of 78.5%, offering a non-invasive, accessible method for early diagnosis. The findings have been published in the journal Alzheimer’s & Dementia.
Alzheimer’s disease is the most common cause of dementia and typically progresses through a long phase where only subtle cognitive changes are apparent. People with mild cognitive impairment are at a higher risk of developing Alzheimer’s, with annual conversion rates ranging from 3% to 15%.
Early and accurate prediction of who will transition from mild cognitive impairment to Alzheimer’s is vital for timely treatment and inclusion in clinical trials for new drugs. Traditional methods for diagnosing Alzheimer’s, such as brain imaging and cerebrospinal fluid tests, are invasive, expensive, and not easily accessible in all regions. In contrast, analyzing speech during neuropsychological tests is a less invasive and potentially more scalable approach.
The Boston University researchers conducted their study using data from the Framingham Heart Study, which has been recording neuropsychological test interviews since 2005. The cohort for this study consisted of 166 individuals with cognitive complaints, including 59 men and 107 women, with a median age of 81 years. These participants underwent neuropsychological tests designed to assess various cognitive domains such as memory, language, visuospatial skills, abstract reasoning, and attention. Each test session, lasting about an hour, was audio-recorded and stored in the .wav format.
The researchers transcribed the audio recordings into text using automated speech recognition software. Each utterance was then diarized, meaning it was attributed to either the participant or the examiner, and categorized into specific subtests like the Boston Naming Test or the Wechsler Memory Scale. The text data was processed using the Universal Sentence Encoder, a deep learning model that transforms text into numerical vectors representing semantic content.
To predict whether individuals with mild cognitive impairment would progress to Alzheimer’s disease within six years, the researchers employed logistic regression models. They generated embedding vectors from the transcribed text and trained the models on these vectors, along with demographic information such as age, sex, and education level. The model’s performance was evaluated using stratified group k-fold cross-validation, ensuring that the data was split into multiple folds for training and testing to validate the results comprehensively.
The AI model developed by the researchers achieved an accuracy rate of 78.5% and a sensitivity of 81.1% in predicting the progression from mild cognitive impairment to Alzheimer’s disease within six years. Sensitivity refers to the model’s ability to correctly identify individuals who will progress to Alzheimer’s, while specificity, at 75%, measures its accuracy in identifying those who will not progress. These results indicate a strong predictive power, particularly in identifying future Alzheimer’s patients.
The analysis revealed that speech features extracted from the neuropsychological test recordings were robust predictors of disease progression. The inclusion of text features alone outperformed traditional neuropsychological test scores and demographic factors. This suggests that subtle changes in speech patterns and language use can provide valuable insights into cognitive decline, even before more obvious symptoms appear.
“We wanted to predict what would happen in the next six years—and we found we can reasonably make that prediction with relatively good confidence and accuracy,” said Ioannis (Yannis) Paschalidis, the director of the Boston University Rafik B. Hariri Institute for Computing and Computational Science & Engineering. “It shows the power of AI.”
Interestingly, the study also found that older women, individuals with lower education levels, and those carrying specific genetic markers, such as the apolipoprotein E gene allele, were more likely to progress to Alzheimer’s. These findings align with existing research on the risk factors for Alzheimer’s disease, reinforcing the validity of the AI model’s predictions.
While the AI model shows promise, there are limitations to consider. The study’s cohort was predominantly White, limiting the generalizability of the findings to more diverse populations. The specificity of the model, although reasonable, still leaves room for improvement to reduce the cost of clinical trials by better identifying candidates for new treatments.
Furthermore, the model’s reliance on speech data means that variations in dialect, language proficiency, and cultural differences could impact its accuracy. Future research should aim to validate these findings across more diverse and larger populations and explore the inclusion of other types of data, such as patient drawings and daily life patterns, to enhance predictive accuracy.
As the study’s co-author, Rhoda Au, notes, AI has the potential to create “equal opportunity science and healthcare,” overcoming biases and resource limitations. This technology can democratize access to early diagnosis and treatment, making it available to a broader population.
“Technology can overcome the bias of work that can only be done by those with resources, or care that has relied on specialized expertise that is not available to everyone,” said Au, a professor of anatomy and neurobiology. One of the most exciting findings was “that a method for cognitive assessment that has the potential to be maximally inclusive—possibly independent of age, sex/gender, education, language, culture, income, geography—could serve as a potential screening tool for detecting and monitoring symptoms related to Alzheimer’s disease.”
The researchers plan to expand their study to include data from more natural conversations, rather than just structured neuropsychological tests, potentially through a smartphone app. This approach could make the AI model even more accessible and practical for widespread use. Additionally, they aim to incorporate other types of data to further improve the model’s accuracy.
“Digital is the new blood,” says Au. “You can collect it, analyze it for what is known today, store it, and reanalyze it for whatever new emerges tomorrow.”
“We hope, as everyone does, that there will be more and more Alzheimer’s treatments made available,” Paschalidis added. “If you can predict what will happen, you have more of an opportunity and time window to intervene with drugs, and at least try to maintain the stability of the condition and prevent the transition to more severe forms of dementia.”
The study, “Prediction of Alzheimer’s disease progression within 6 years using speech: A novel approach leveraging language models,” was authored by Samad Amini, Boran Hao, Jingmei Yang, Cody Karjadi, Vijaya B. Kolachalama, Rhoda Au, and Ioannis C. Paschalidis.
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I’m going on my first overseas trip with my girlfriend since we started dating. I worked hard all last year to earn and save money for this trip. It will be our first international trip ever, and I want to make it perfect, memorable, and the best trip of our lives....
Exactly what I wanted to say. All that talk of “perfection” makes me imagine them snapping and going full psycho because a train was cancelled and they need to book a different one.
To OP: just stop trying to plan that much. A general plan is good. Just be aware things will change and that’s ok. As long as you two are having a good time, the rest really doesn’t matter as much as you think it does.
If you want a little psychological trick to make the trip more memorable than it otherwise would be, whatever you think is going to be the most impressive, save it for last. Our memories have a very strong recency bias.
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Ruth Westheimer, the sex therapist, lived in the same Washington Heights apartment for more than half a century. Her neighbors said she was gregarious, funny and unabashedly herself.
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After being kidnapped by Hamas at a music festival on October 7, Andrey Kozlov, a 27-year-old Russian-Israeli citizen, said he was tied up for "three days with rope, then until the middle of December with chains." During eight months of captivity, he was also subjected to psychological abuse—being told that his death would be filmed, that his family had forgotten him, and that Israel wanted to kill him. Then, on June 8, Israel rescued him.
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Scientists have developed an artificially-intelligent tool capable of predicting in four cases out of five whether people with early signs of dementia will remain stable or develop Alzheimer's disease. The team say this new approach could reduce the need for invasive and costly diagnostic tests while improving treatment outcomes early when interventions such as lifestyle changes or new medicines may have a chance to work best.
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Source: Canadian Broadcasting Company - Top Stories News
The Walsh family in Ontario, Canada, appeared to be the picture of domestic bliss, making the murder-suicide event that destroyed them all the more shocking. But while the devastating tragedy was unthinkable to the community, it's unlikely that it occurred arbitrarily, according to researchers. "These cases don't happen out of the blue. Someone doesn't wake up one day and decide to kill their family members," said Peter Jaffe, a domestic...
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Scientists have developed an artificially-intelligent tool capable of predicting in four cases out of five whether people with early signs of dementia will remain stable or develop Alzheimer's disease. The team say this new approach could reduce the need for invasive and costly diagnostic tests while improving treatment outcomes early when interventions such as lifestyle changes or new medicines may have a chance to work best.
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Depending on how the event is spun (story-wise), an attempt like this could make the other candidate’s party seem unhinged enough that one of their members would do (and apparently fail badly at) this. This, making the target, and their party by association, seem more noble than thay may be.
To a lot of people, whether the shooting is or isn’t affiliated doesn’t really get questioned no matter what they hear, as what party would hurt itself? They’ll immediately think there is some conspiracy (the human psychology loves these rabbit holes) to make it seem like any favoring affiliation to the target’s political side is staged by the other.
First overseas trip with my girlfriend – Any tips to make It our best trip?
I’m going on my first overseas trip with my girlfriend since we started dating. I worked hard all last year to earn and save money for this trip. It will be our first international trip ever, and I want to make it perfect, memorable, and the best trip of our lives....
I have become all things to all men (lemmy.world)