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Can AI Develop a Favourite Food Craving?

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Penn State scientists are fostering an electronic tongue that mimics the human course of gustation, which could impact artificial intelligence to settle on choices more like people. This advancement is important for a work to consolidate the capacity to appreciate people on a deeper level perspective, frequently ignored in simulated intelligence research. This electronic gustatory framework can right now recognize each of the five essential preferences and has various expected applications, from simulated intelligence driven diets to customized eatery contributions.

Electronic tongue’ holds guarantee as conceivable initial step to fake ability to appreciate individuals at their core.

Will man-made reasoning (artificial intelligence) get ravenous? Foster a preference for specific food varieties? Not yet, yet a group of Penn State scientists is fostering an original electronic tongue that emulates what taste means for what we eat in view of the two requirements and needs, giving a potential plan to computer based intelligence that processes data more like a person.

Human way of behaving is complicated, an undefined split the difference and cooperation between our physiological requirements and mental inclinations. While computerized reasoning has taken extraordinary steps as of late, man-made intelligence frameworks don’t integrate the mental side of our human knowledge. For instance, the capacity to understand people at their core is seldom considered as a component of simulated intelligence.

“The main focus of our work was how could we bring the emotional part of intelligence to AI,” said Saptarshi Das, associate professor of engineering science and mechanics at Penn State and corresponding author of the study published recently in Nature Communications. “Emotion is a broad field and many researchers study psychology; however, for computer engineers, mathematical models and diverse data sets are essential for design purposes. Human behavior is easy to observe but difficult to measure and that makes it difficult to replicate in a robot and make it emotionally intelligent. There is no real way right now to do that.”

The Job of Gustation in Dietary patterns

Das featured that our dietary patterns are a genuine illustration of the capacity to understand individuals on a deeper level and the connection between the physiological and mental condition of the body. What we eat is intensely affected by the course of gustation, which alludes to how our feeling of taste assists us with choosing what to consume in view of flavor inclinations. This is unique in relation to hunger, the physiological justification for eating.

“If you are someone fortunate to have all possible food choices, you will choose the foods you like most,” Das said. “You are not going to choose something that is very bitter, but likely try for something sweeter, correct?”

Any individual who has felt full after a major lunch regardless was enticed by a cut of chocolate cake at a midday work environment party realizes that an individual can eat something they love in any event, when not eager.

“If you are given food that is sweet, you would eat it in spite of your physiological condition being satisfied, unlike if someone gave you say a hunk of meat,” Das said. “Your psychological condition still wants to be satisfied, so you will have the urge to eat the sweets even when not hungry.”

While there are as yet many inquiries in regards to the neuronal circuits and atomic level components inside the cerebrum that underlie hunger discernment and craving control, Das said, advances, for example, further developed mind imaging have offered more data on how these circuits work with respect to gustation.

Making an Electronic Gustatory Framework

Taste receptors on the human tongue convert synthetic information into electrical driving forces. These driving forces are then sent through neurons to the cerebrum’s gustatory cortex, where cortical circuits, a complicated organization of neurons in the mind shape our impression of taste.

The scientists have fostered a rearranged biomimetic variant of this cycle, including an electronic “tongue” and an electronic “gustatory cortex” made with 2D materials, which are materials one to a couple of particles thick. The counterfeit tastebuds involve minuscule, graphene-based electronic sensors called chemitransistors that can identify gas or synthetic atoms.

The other piece of the circuit utilizes memtransistors, which is a semiconductor that recalls past signs, made with molybdenum disulfide. This permitted the scientists to plan an “electronic gustatory cortex” that interface a physiology-drive “hunger neuron,” brain research driven “craving neuron” and a “taking care of circuit.”

For example, while recognizing salt, or sodium chloride, the gadget detects sodium particles, made sense of Subir Ghosh, a doctoral understudy in designing science and mechanics and co-writer of the review.

“This means the device can ‘taste’ salt,” Ghosh said.

The properties of the two different 2D materials complete one another in framing the fake gustatory framework.

“We used two separate materials because while graphene is an excellent chemical sensor, it is not great for circuitry and logic, which is needed to mimic the brain circuit,” said Andrew Pannone, graduate research assistant in engineering science and mechanics and co-author of the study. “For that reason, we used molybdenum disulfide, which is also a semiconductor. By combining these nanomaterials, we have taken the strengths from each of them to create the circuit that mimics the gustatory system.”

The cycle is adequately flexible to be applied to every one of the five essential taste profiles: sweet, pungent, harsh, unpleasant and umami. Such a mechanical gustatory framework has promising possible applications, Das expressed, going from simulated intelligence organized slims down in light of the capacity to understand people at their core for weight reduction to customized dinner contributions in eateries. The examination group’s impending goal is to expand the electronic tongue’s taste range.

“We are trying to make arrays of graphene devices to mimic the 10,000 or so taste receptors we have on our tongue that are each slightly different compared to the others, which enables us to distinguish between subtle differences in tastes,” Das said. “The example I think of is people who train their tongue and become a wine taster. Perhaps in the future we can have an AI system that you can train to be an even better wine taster.”

An extra following stage is to make a coordinated gustatory chip.

“We want to fabricate both the tongue part and the gustatory circuit in one chip to simplify it further,” Ghosh said. “That will be our primary focus for the near future in our research.”

Future Possibilities for Genuinely Insightful artificial intelligence
From that point onward, the scientists said they imagine this idea of gustatory ability to appreciate people on a profound level in an artificial intelligence framework meaning different faculties, for example, visual, sound, material and olfactory capacity to understand anyone at their core to help improvement of future high level man-made intelligence.

“The circuits we have demonstrated were very simple, and we would like to increase the capacity of this system to explore other tastes,” Pannone said. “But beyond that, we want to introduce other senses and that would require different modalities, and perhaps different materials and/or devices. These simple circuits could be more refined and made to replicate human behavior more closely. Also, as we better understand how our own brain works, that will enable us to make this technology even better.”

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Fruits High in Protein: A Surprising Nutritional Boost

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Fruits High in Protein: A Surprising Nutritional Boost

When thinking of protein sources, fruits might not top the list. However, certain fruits can contribute a surprising amount of this essential macronutrient. While they can’t replace traditional high-protein foods like beans, legumes, or meats, these fruits provide a valuable combination of protein, fiber, vitamins, and antioxidants. Here’s a closer look at protein-rich fruits and their nutritional benefits.

Why is Protein Important?

Protein plays a crucial role in maintaining satiety, tissue repair, and muscle growth. High-protein diets are widely known for aiding weight loss and supporting a healthy lifestyle. Recently, plant-based diets have gained attention for their weight loss benefits and overall health advantages.

Registered dietitian Natalie Rizzo emphasizes that fruit protein should be seen as an addition rather than a primary source. “Every gram of protein counts, especially in a plant-forward diet,” she says. Most people need at least 20 grams of protein per meal, and fruits can be a small yet beneficial contributor.

Protein-Rich Fruits

Here are some fruits that stand out for their protein content, with each providing 1 gram or more per serving.

Passion Fruit

  • Protein: 5 grams per cup of raw fruit
  • Known for its aromatic, jelly-like golden pulp, passion fruit is also rich in fiber, calcium, and vitamins A and C. It can be eaten raw, added to yogurt, or blended into drinks.

Jackfruit

  • Protein: 2.8 grams per cup of raw slices
  • A relative of figs and breadfruit, jackfruit can be eaten ripe as a sweet fruit or unripe as a meat alternative in plant-based dishes.

Pomegranate

  • Protein: 2.9 grams per cup of arils (seeds)
  • Pomegranate seeds are packed with antioxidants, dietary fiber, and anti-inflammatory fatty acids beneficial for heart health.

Apricots

  • Protein: 2.3 grams per cup of fresh slices; 4.4 grams per cup of dried halves
  • This fiber-rich stone fruit also provides antioxidants, iron, and vitamins C, E, B6, and A. Fresh or dried, apricots are a delicious and nutritious snack.

Blackberries

  • Protein: 2 grams per cup of raw fruit
  • Blackberries are rich in antioxidants that may reduce cancer risk and improve gut health due to their high fiber content.

Guava

  • Protein: 1.4 grams per fruit
  • This tropical fruit offers antioxidants, vitamin C, potassium, and fiber. Its sweet-tart flavor makes it versatile for eating raw, blending into smoothies, or making jams.

Raisins

  • Protein: 1.4 grams per 1.5-ounce box
  • Raisins are small but mighty, offering fiber, potassium, and heart health benefits. They make a convenient and nutrient-dense snack, but portion control is key due to their calorie content.

Citrus Fruits

  • Protein: 1.2 grams per orange; 2.3 grams per grapefruit
  • Famous for their vitamin C content, oranges and grapefruits also deliver fiber, potassium, and hydration while being low in calories.

Cantaloupe

  • Protein: 1.3 grams per cup of cubed fruit
  • A standout for its high vitamin A content, cantaloupe provides 40% of the daily recommended intake per cup. It’s an excellent addition to fruit salads, smoothies, or desserts.

Incorporating Fruits Into a Protein-Rich Diet

While fruits shouldn’t be relied on as a primary protein source, they can complement a balanced diet rich in beans, nuts, seeds, and other plant-based proteins. Their added benefits—like vitamins, antioxidants, and fiber—make them a healthy, versatile choice.

Whether you’re blending blackberries into a smoothie, topping yogurt with passion fruit pulp, or snacking on a handful of raisins, these protein-rich fruits are a simple way to enhance your diet while satisfying your sweet tooth.

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Coffee and Tea Drinking May Reduce the Risk of Some Cancers: Research

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Drinking a cup of Joe or some tea for the holidays may be a good thing!

A study reviewed in the journal of the American Cancer Society found that people who drink either tea or coffee have a slightly lower risk of head and neck cancers, though it remains unclear if the drinks themselves directly reduce the risk.

Researchers analyzed data from 14 individual studies involving over 9,500 people with head and neck cancers and over 15,000 people without, compiled by the International Head and Neck Cancer Epidemiology Consortium.

The findings showed that individuals who drank less than four cups of caffeinated coffee daily and less than a cup of tea had a 17% and 9% lower chance, respectively, of developing head or neck cancer overall.

The study also highlighted that coffee drinkers had a reduced risk of developing oral cavity and oropharyngeal cancers located in the middle part of the throat, according to Yale Medicine. Meanwhile, tea drinkers who consumed less than a cup daily showed a lower risk of hypopharyngeal cancer, which affects the bottom part of the throat, per Johns Hopkins Medicine.

“While there has been prior research on coffee and tea consumption and reduced risk of cancer, this study highlighted their varying effects with different sub-sites of head and neck cancer, including the observation that even decaffeinated coffee had some positive impact,” said Dr. Yuan-Chin Amy Lee, senior author of the study from Huntsman Cancer Institute and the University of Utah School of Medicine, as reported by The Guardian.

“Perhaps bioactive compounds other than caffeine contribute to the potential anti-cancer effect of coffee and tea,” Lee added.

However, drinking more than one cup of tea daily was linked to a higher risk of laryngeal cancer, which forms in the larynx, the part of the throat responsible for controlling the vocal cords, according to the National Cancer Institute (NCI).

The study also acknowledged limitations, as participants self-reported their findings and were not asked about the specific types of tea or coffee consumed. Additional unaccounted factors may have influenced the results as well.

“In observational studies, it is very difficult to totally eliminate confounding effects, for example, of tobacco and alcohol from the statistical analysis,” Tom Sanders, a professor emeritus of nutrition and dietetics at King’s College London, told The Guardian.

“Consequently, people who drink a lot of coffee and tea may be more likely to avoid other harmful behaviors such as drinking alcohol and using tobacco and so may be at a lower risk of these cancers for other reasons,” added Sanders, who was not involved in the study.

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How the brain makes complex judgments based on context

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We frequently face difficult choices in life that are impacted by a number of variables. The orbitofrontal cortex (OFC) and the dorsal hippocampus (DH) are two key brain regions that are essential for our capacity to adjust and make sense of these unclear situations.

According to research conducted by researchers at the University of California Santa Barbara (UCSB), these regions work together to resolve ambiguity and facilitate quick learning.

Decision-making that depends on context

The results, which were released in the journal Current Biology, offer fresh perspectives on how certain brain regions assist us in navigating situations that depend on context and modifying our behavior accordingly.

According to UCSB neuroscientist Ron Keiflin, senior author, “I would argue that that’s the foundation of cognition.” That’s what prevents us from acting like mindless machines that react to stimuli in the same way every time.

“Our ability to understand that the meaning of certain stimuli is context-dependent is what gives us flexibility; it is what allows us to act in a situation-appropriate manner.”

Decision-making context

Think about choosing whether or not to answer a ringing phone. What you say depends on a number of variables, including the time of day, who might be calling, and where you are.

The “context,” which influences your choice, is made up of several components. The interaction between the OFC and DH is what gives rise to this cognitive flexibility, according to Keiflin.

Planning, reward valuation, and decision-making are linked to the OFC, which is situated directly above the eyes, whereas memory and spatial navigation depend on the DH, which is positioned deeper in the brain.

According to Keiflin, both areas contribute to a mental representation of the causal structure of the environment, or a “cognitive map.” The brain can model outcomes, forecast outcomes, and direct behavior thanks to this map.

Despite their significance, up until now there had been no systematic testing of the precise functions of these regions in contextual disambiguation, which determines how stimuli alter meaning based on context.

Contextualizing auditory stimuli

In order to find out, the researchers created an experiment in which rats were exposed to aural cues in two distinct settings: a room with bright lighting and a chamber with no light. There was a context-dependent meaning for every sound.

For instance, one sound indicated a reward (sugar water) only when it was light, and another only when it was dark.

The rats eventually learnt to link each sound to the appropriate context, and in one situation they showed that they understood by licking the reward cup in anticipation of a treat, but not in the other.

The OFC or DH was then momentarily disabled during the task by the researchers using chemogenetics. The rats’ ability to use context to predict rewards and control their behavior was lost when the OFC was turned off.

Disabling the DH, however, had minimal effect on performance, which was unexpected considering its well-established function in memory and spatial processing.

Enhanced learning from prior knowledge

For learning new context-dependent interactions, the DH proved essential, but it appeared to be unnecessary for recalling previously learned ones.

“If I walked into an advanced math lecture, I would understand – and learn – very little. But someone more mathematically knowledgeable would be able to understand the material, which would greatly facilitate learning,” Keiflin explained.

Additionally, the rats were able to pick up new relationships far more quickly after they had created a “cognitive map” of context-dependent interactions. The duration of training decreased from more than four months to a few days.

Brain areas cooperating

By employing the same chemogenetic strategy, the researchers discovered that the rats’ capacity to use past information to discover new associations was hampered when the OFC or DH were disabled.

While the DH allowed for the quick learning of novel context-dependent relationships, the OFC was crucial for using contextual knowledge to control immediate action.

This dual role emphasizes how these brain regions assist learning and decision-making in complementary ways.

Education and neuroscience Implications

According to Keiflin, neuroscience research frequently overlooks the well-established psychological and educational theories that prior information affects learning.

Knowing how the brain leverages past information to support learning could help develop educational plans and therapies for people who struggle with learning.

The study clarifies the different functions of the DH and OFC as well. In order to acquire new relationships, the DH is more important than the OFC, which aids in behavior regulation based on contextual knowledge.

These areas work together to help the brain adjust to complicated, dynamic surroundings.

Brain’s Capacity to make Decisions based on context

The study emphasizes how crucial contextual knowledge is for managing day-to-day existence. Human cognition is based on the brain’s capacity to resolve ambiguity, whether it be while choosing whether to answer a ringing phone or when adjusting to new knowledge.

This work highlights the complex processes that facilitate learning and decision-making while also advancing our knowledge of brain function by elucidating the functions of the OFC and DH.

This information creates opportunities to investigate the potential roles that disturbances in these systems may play in disorders like anxiety or problems with decision-making.

Since this type of learning is most likely far more reflective of the human learning experience, Keiflin stated that “a better neurobiological understanding of this rapid learning and inference of context-dependent relations is critical, as this form of learning is probably much more representative of the human learning experience.” 

The results open the door for future studies on the interactions between these brain areas in challenging, real-world situations, which could have implications for mental health and education.

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