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To help with weight loss, many individuals turn to various strategies, including fad diets, intense exercise routines, and even supplements. However, one crucial factor often overlooked is the role of hormones in regulating appetite and metabolism. Glucagon-like peptide 1 (GLP-1) is a hormone that plays a significant role in satiety and glucose control. By increasing GLP-1 levels naturally, individuals can potentially enhance weight loss efforts (did you know Ozempic and Wegovy are not the only ways to do this!). Of course at STAT Wellness our goal is to uncover the root cause of your weight loss struggles; as a patient of STAT you will not get a blanket “you need to eat less and exercise more” mentality. So if the information in this article is not helpful, don’t settle until you have answers. We are complex beings and need to be treated that way. However the purpose of this article is to explore natural methods to boost GLP-1 levels and support weight loss efforts.

Consume Fiber-Rich Foods.

Dietary fiber has long been recognized as an essential component of a healthy diet, but its role in weight loss is often underestimated. Fiber-rich foods, such as whole grains, fruits, vegetables, and legumes, not only provide satiety but also help increase GLP-1 secretion. When consumed, fiber slows down digestion and promotes the release of GLP-1 from the intestinal cells. Additionally, certain soluble fibers act as prebiotics, nourishing beneficial gut bacteria, which further enhances GLP-1 production. Including a variety of fiber-rich foods in your diet can support weight loss efforts by promoting feelings of fullness and regulating appetite. Looking for ways to get more fiber consider: acacia fiber, ground flaxseed, chia seeds, avocado, raspberries, cruciferous vegetables, lentils, beans, and zen basil seeds (which are also lectin free).

Authors: Tianyi Liang, Dong Wu, Xiaochuan Ning, Lianqiang Shan, Zongqiang Yuan, Hongbo Cai, Zhengmao Sheng, and Xiantu He. Discover more in PRE:


The National Ignition Facility has recently achieved successful burning plasma and ignition using the inertial confinement fusion (ICF) approach. However, there are still many fundamental physics phenomena that are not well understood, including the kinetic processes in the hohlraum. Shan et al. [Phys. Rev. Lett. 120, 195001 (2018)] utilized the energy spectra of neutrons to investigate the kinetic colliding plasma in a hohlraum of indirect drive ICF. However, due to the typical large spatial-temporal scales, this experiment could not be well simulated by using available codes at that time. Utilizing our advanced high-order implicit PIC code, LAPINS, we were able to successfully reproduce the experiment on a large scale of both spatial and temporal dimensions, in which the original computational scale was increased by approximately seven to eight orders of magnitude.

“We usually conform to the views of others for two reasons. First, we succumb to group pressure and want to gain . Second, we lack sufficient knowledge and perceive the group as a source of a better interpretation of the current situation,” explains Dr. Konrad Bocian from the Institute of Psychology at SWPS University.

So far, only a few studies have investigated whether , or evaluations of another person’s behavior in a given situation, are subject to group pressure. This issue was examined by scientists from SWPS University in collaboration with researchers from the University of Sussex and the University of Kent. The scientists also investigated how views about the behavior of others changed under the influence of pressure in a virtual environment. A paper on this topic is published in PLOS ONE.

“Today, is increasingly as potent in the as in the . Therefore, it is necessary to determine how our judgments are shaped in the digital reality, where interactions take place online and some participants are avatars, not real humans,” points out Dr. Bocian.

A team from the University of Geneva (UNIGE) has succeeded in modeling an capable of this cognitive prowess. After learning and performing a series of basic tasks, this AI was able to provide a linguistic description of them to a “sister” AI, which in turn performed them. These promising results, especially for robotics, are published in Nature Neuroscience.

Performing a new without prior training, on the sole basis of verbal or written instructions, is a unique human ability. What’s more, once we have learned the task, we are able to describe it so that another person can reproduce it. This dual capacity distinguishes us from other species which, to learn a new task, need numerous trials accompanied by positive or negative reinforcement signals, without being able to communicate it to their congeners.

A sub-field of (AI)—Natural language processing—seeks to recreate this human faculty, with machines that understand and respond to vocal or textual data. This technique is based on artificial neural networks, inspired by our biological neurons and by the way they transmit electrical signals to one another in the brain. However, the neural calculations that would make it possible to achieve the cognitive feat described above are still poorly understood.

1:05 — OpenAI board saga 18:31 — Ilya Sutskever 24:40 — Elon Musk lawsuit 34:32 — Sora 44:23 — GPT-4 55:32 — Memory & privacy 1:02:36 — Q* 1:06:12 — GPT-5 1:09:27 — $7 trillion of compute 1:17:35 — Google and Gemini…


Sam Altman is the CEO of OpenAI, the company behind GPT-4, ChatGPT, Sora, and many other state-of-the-art AI technologies. Please support this podcast by checking out our sponsors:
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TRANSCRIPT:

“More testing, a purification system and approval from the U.S. Food and Drug Administration would be needed to put the strategy to work. But insulin produced by transgenic cows could ease shortages that often make the hormone hard to come by for the 8.4 million Americans with diabetes who rely on it to survive.”


MONDAY, March 18, 2024 (HealthDay News) — There may be an unexpected fix for ongoing shortages of insulin: A brown bovine in Brazil recently made history as the first transgenic cow able to produce human insulin in her milk.