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Showing posts with label Educational. Show all posts
Showing posts with label Educational. Show all posts

Wednesday, March 26, 2025

Learn about your urine – it tells you more about your health than you think

 

Your urine can tell you several things about your diet and health even without a test. — 123rf

Go ahead, get the giggles out of the way; we’re about to take a close look at urine, and in such conversations, bathroom humour is often the number one byproduct.

But once you’re through, perhaps you can also relieve yourself of the notion that urine is simply material for third-grade (primary school) punchlines – or even simple at all.

Urine is the result of a fascinating and complex system – of which the kidneys are the star – that evolved to keep our internal systems in balance, said University of Alabama at Birmingham cardio-renal physiology and medicine co-director and professor of medicine Dr David Pollock.

“It’s basically what keeps your cells alive,” he said.

“It maintains the internal environment of your entire body.”

Which makes understanding what’s in your pee important.

And that begins with understanding how it’s made.

Kidney control

Urine is created in the kidneys, whose job is usually described as filtering blood.

But the kidneys do much more than that, Prof Pollock said.

“There’s a very close relationship between the heart and the kidneys,” he said.

The kidneys control how much sodium and water your body retains.

That water equates to the volume of blood you carry, and the greater the volume, the higher the pressure will be.

And that makes the kidneys the primary organ in charge of blood pressure.

“And basically, the kidney is responsible for making sure that it doesn’t get too high,” said Prof Pollack.

The kidneys control that volume by regulating sodium.

When sodium is retained, blood volume goes up.

The kidneys also regulate potassium, which helps limit the effects of sodium.

Both are electrolytes, and the kidneys maintain electrolytes at “very, very precise concentrations,” said George Washington University School of Medicine and Health Sciences professor of medicine Dr Janani Rangaswami.

Those concentrations can significantly affect health, said the chief of nephrology at the Washington VA Medical Center.

Electrolyte imbalances such as low sodium levels, can lead to seizures.

High or very low potassium could lead to heart rhythm problems.

The kidneys also balance the blood’s acidity and filter out waste products, as well as some drugs, from the bloodstream.

The result of all this balancing and filtering is urine.

It flows from the kidneys through the ureters to the bladder, where it’s stored until the next commercial break, rest area or whenever it’s your turn in the bathroom.

Depending on a person’s size, the kidneys might filter around 48 gallons (181.7l) of blood each day, Prof Rangaswami said.

That might yield up to a couple of quarts (1.9l) of urine, although it’s important to not fixate on how much urine you produce, she said.

Patients sometimes get the mistaken notion that “if they don’t have a certain urine output, that’s a bad thing, which is not true,” she said.

In reality, the amount can be “all over the place”, varying because of how much fluid you’re drinking, the health of your kidneys and the medications you may be taking.

Urine composition

The exact composition of urine can vary day to day as well, she said.

But most of it – from 91% to 96% – is water.

Thousands of additional components have been identified in urine.

Prof Pollock and Prof Rangaswami say these are the most prominent ones:

Urea

“Your body takes the protein that you eat, it breaks it down and takes energy from it, and then you have urea left over,” Prof Pollock said.

Urea is mostly nitrogen.

It makes a good fertiliser, and bacteria break it down into ammonia.

This made urine valuable in pre-industrial times for everything from tanning leather to cleaning laundry.

In ancient Rome, urine was collected from public toilets, and it was taxed.

Ammonia is what makes urine smell the way it does, Prof Pollock said.

Electrolytes

In addition to sodium and potassium, electrolytes include chloride, magnesium and calcium.

Phosphorus, another electrolyte, is what causes urine to glow under ultraviolet light.

Uric acid

This nitrogen-based compound is created when the body breaks down food and drinks that contain chemicals called purines.

Meats, seafood, beer, beans and some vegetables are high in purines.

Too much uric acid can lead to kidney stones or gout.

Creatinine

This waste product is created as muscles work and as protein is digested.

A test called UACR, which stands for urine albumin-creatinine ratio, looks for albumin, a protein that can be a warning sign of kidney disease, Prof Rangaswami said.

That, along with blood tests that look at creatinine or urea nitrogen levels, can give doctors a good idea of current kidney function and future risk for worsening kidney function.

That’s important, she said, because “kidney disease is a powerful risk enhancer for cardiovascular disease”.

Observing your pee

Although urinalysis is as old as medicine itself – Sumerian and Babylonian physicians recorded their findings on clay tablets 6,000 years ago, and Sanskrit texts from 100 BC noted 20 types of urine – your urine can tell you several things even without a test.

Urine gets its yellow colour from a chemical called urobilin, or urochrome.

But the intensity of that colour can vary depending on how much water you’ve been drinking.

“A lot of patients wrongly infer that if their urine looks concentrated, or if it’s dark yellow, that something is wrong,” Prof Rangaswami said.

“That’s just a reflection of the urine being more concentrated.

“And usually, drinking more fluids will make it clear.

“So there is no reason to get concerned every time you notice a slight change in the colour.”

Certain foods, such as beets and asparagus, and some medications can also cause exotic, but harmless, changes in the colour or smell of urine, she said.

But “any blood that is visible in the urine should always prompt a medical evaluation,” Prof Rangaswami said.

And persistent foamy urine could be a sign of too much protein in the urine.

This would be a symptom to discuss with a doctor, she said, particularly for someone who is at risk for kidney disease.

That would include people with diabetes, obesity or high blood pressure.

Prof Rangaswami encourages people to make sure their healthcare team is performing routine UACR tests to monitor kidney health, and to follow a doctor’s advice if they have specific conditions such as kidney stones.

But for the most part, healthy urine flows naturally from healthy kidneys, and kidneys are kept healthy by the same habits that help the rest of the body.

“In terms of diet, what would generally be considered a heart-healthy diet is also a kidney-healthy diet,” she said.

That would include eating less sodium and more fresh fruits, vegetables and whole grains, while backing off on heavily-processed foods.

Overall, Prof Rangaswami said, a conversation about urine is a good way to put the importance of kidney health in focus.

And “anything we can do to protect and keep the kidneys healthy is going to be good for their heart as well”. – By Michael Merschel/American Heart Association News/Tribune

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Sunday, March 23, 2025

Getting it right

 

US-china trade needs to improve as much as their bilateral relationship deserves much better, but not at the present rate.

Auto ambition: With limited competition abroad but hypercompetition at home, China’s EV industry has powered ahead. — AFP

T

HE constant stream of major global events can be disorienting, particularly when their consequences spin off to produce secondary effects.

Worse, self-interested politics enters as a disabling narrative to make factual understanding more difficult. How to make sense of all this?

One way is to identify the root causes and critically analyse how they develop and proceed. Factual accuracy in descriptions and definitions always helps, while imprecision makes everything more difficult.

Much relates to a rising China and the state of US-China relations. With the world’s biggest economies, theirs is the most critical bilateral relationship for the world and also the most politically fraught. 

In 2004 China displaced the US as Japan’s main trade partner. The following year it displaced the US as the world’s biggest consumer market.

In 2006 the EU became China’s biggest trade partner while China became the EU’s second-biggest. In 2009 China displaced the US as Africa’s main trade partner, and in 2010 it beat Japan as the world’s second-largest economy.

China’s external trade covered a wide range of goods and services as its productive forces gained critical mass. In the process, industrial clout came not simply from resources and scale but also strong production ecosystems and supply chains, including a skilled workforce.

China quickly developed as the “world’s factory” with the Global North’s industries choosing to relocate production there. They flocked to establish factories in China offering the best returns on investment.

But while foreign companies retained older technology like internal combustion engines (ICE), China prioritised electric vehicles (EVs) to cut air pollution and dependence on imported oil. There was no domestic oil lobby to derail EV development, only government encouragement instead.

With limited competition abroad but hypercompetition at home, China’s EV industry powered ahead. That meant a quick and considerable lead in technology and marketing overseas.

In 2009 China surpassed the US as the world’s largest automobile market. This spanned both ICE vehicles and EVs, with a muted but growing market for the latter.

In 2020 China displaced the US as the EU’s top trading partner. That same year it acquired the world’s largest foreign exchange reserves, developed the finest fintech, and had the most companies listed in the Fortune Global 500.

China’s auto production was booming, exploding into a global market hungry for sophisticated yet affordable vehicles. China fulfilled that need better than any other country.

In 2021 Chinese auto exports surpassed South Korea’s, and the following year it displaced Germany as the world’s second-biggest exporter. Within months China beat Japan as the world’s top auto exporter.

Much the same is happening with other sectors, if at different growth rates. China continues rising through the rapid development of multiple industries, particularly when several foreign markets remain unexplored or under-served.

Western automobile manufacturers in China felt a need to work more with Chinese companies, particularly on EVs and hybrids. They prefer joint ventures to discriminatory tariffs or sanctions on Chinese vehicles from their governments.

Yet last April US Treasury Secretary Janet Yellen visited China to complain about “excess capacity” and “overproduction”. It was more a political point than an economic argument.

Excess capacity is surplus productive capability over and above what is needed or appropriate. Overproduction is the additional goods produced and left idle because of insufficient demand.

As the world’s factory with regional markets still untapped, China has no excess capacity or overproduction. High Western tariffs to stifle demand may create a semblance of either, but artificially inducing a situation to accuse Chinese industry of it is dishonest.

Sometimes dumping happens with a specific commodity temporarily, typically for an intermediate or upstream item. But that is different.

After Joe Biden’s administration acted against Chinese EVs, batteries and solar panels, they shifted to markets in Russia, Latin America, Central Asia, Africa and South-East Asia. China is a global producer, and since there is no global overcapacity or overproduction, it is not engaging in either.

Chinese industry’s ultra-competitiveness seriously challenges US industry, notably in the latter’s obsolete business models. Regaining US global competitiveness requires extensive retooling, not distorted narratives.

From 2011, China has consistently been the world’s top patent applicant country. Each year it graduates more STEM students than the US population has in total, having produced the most STEM PhDs every year since 2007.

In 2021 China beat the US in its national share of published high-impact AI papers. In the same year it also displaced the US with the highest national net worth.

Such data from established Western sources also noted in 2023 that China had seven of the world’s top 10 universities conducting leading scientific research. Last year China had six of the world’s top 10 STEM institutions.

The US is now denying students from China study visas. America would be greater in training more American students without restraining others who pay to be there.

By Bunn Nagar,  Director and Senior Fellow of the BRI Caucus (Asia-Pacific), and Honorary Fellow at the Perak Academy. The views expressed here are solely the writer’s own.

Saturday, March 22, 2025

Rm9bil lost to scams in 10 years

 

Over 200,000 online cases recorded with figures rising


Portal Semak Mule 2.0 bantu rakyat kesan identiti syarikat ..

Semak Mule - PDRM   

KUALA LUMPUR: More than 200,000 online scam cases have been recorded in the last 10 years, resulting in almost Rm9bil in losses.

And there could be many more cases that go unreported.

The number of cases has also been increasing every year. In 2014, there were 6,309 cases but last year, the number rose to 35,368, according to Bukit Aman Commercial Crime Investigation Department (CCID) statistics.

“More and more victims are being duped by a myriad number of scams used by syndicates. This year alone, we have already recorded 10,218 cases as of March 16,” the police said.

In terms of losses, the amount was Rm8.53bil since 2014, with the highest losses recorded in 2023 (Rm1.21bil) and 2024 (Rm1.57bil).

This year, as of March 16, Rm490mil in losses had already been recorded.

Investment scams have been the most prevalent in the last 10 years, accumulating significant losses, especially in the last two years.

In 2014, the losses in such scams were Rm53.4mil, rising to Rm245.05mil in 2021 and Rm219.83mil in 2022.

In 2023 and 2024, though, losses spiked to Rm472.15mil and Rm848.62mil respectively.

“This year, Rm301.8mil has been lost to investment scams, the highest number compared with other scams. However, in terms of the number of cases, telecommunication scams were the highest this year, with 4,509 cases.

“Others are online purchase scams (2,118 cases), investment scams (1,652) and loan scams (1,159),” the police said.

The public is advised to make use of the Semakmule 2.0 portal.

The portal has received 33.4 million visitors since it was established in 2020 and the people are encouraged to use the facility to check the list of mule bank accounts, telephone numbers and shell firms used by scammers.

“Initially, the police set out to list phone numbers and mule bank accounts, but have since improved the portal to include the names of shell companies.

“Visitors to the site are able to do searches on companies that might be used in commercial crimes, including investment scams. The portal has listed more than 107 companies so far,” the police said.

As of Jan 21, a total of 238,006 bank accounts and 191,960 phone numbers have been listed on Semakmule.

Another avenue that can be used is the National Scam Response Centre (NSRC).

The public can report scams by calling the 997 hotline and make enquiries too.

- by By FARIK ZOLKEPLI farik@thestar.com.my 22 Mar 2025

Semak Mule 2.0 portal to help identify the identity of ...




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Monday, March 17, 2025

Coding 101: CRACKING THE CODE, IS AI REWTITING THE RULES?

 

'Learn to code' has long been the golden rule for breaking into tech – but has generative AI rewritten the playbook? — This visual is human-created, AI-aided

N January, Mark Zuckerberg, Meta’s co-founder and CEO, said on the Joe Rogan Experience podcast that artificial intelligence (AI) would begin to take over the roles of mid-level software engineers this year.

Since ChatGPT’s rise in 2022, many new AI tools have appeared, aiming to simplify programming. However, this has also made programmers feel less secure about their jobs, especially those still in school or just starting their careers.

Daren Tan, CEO of Alphv Technologies, believes that learning to code remains important in the AI era, though the purpose has evolved.

Instead of just writing basic functions, coding skills are now crucial for effectively working with AI, customising solutions, and verifying or fixing AI-generated code.

Tan compares the rise of AI to that of calculators: while calculators didn’t eliminate the need to understand math, they changed how we apply it, making us more productive and better equipped to tackle complex problems.

He emphasises the need for a human touch, stressing that “AI-generated code isn’t quite ready for widespread, unsupervised use”.

“While it’s impressive at generating boilerplate code and solving standard problems, it can produce subtle bugs, logic errors or security vulnerabilities.

“It’s best used as a starting point but needs thorough human review and testing, especially for production systems,” he says.

Tan sees AI as playing a supportive role, despite its sophistication, and stresses the need for oversight to ensure everything functions correctly.

“Think of it like having a very knowledgeable junior developer on your team – great at handling routine tasks and offering suggestions, but still needing human oversight for architecture decisions, security considerations, cost optimisations and business logic implementation,” he says.

Based on his experience, Tan says generative AI tools tend to falter when dealing with new or unique situations, especially those that haven’t been encountered before.

Tan sees AI as playing a supportive role, despite its sophistication, and stresses the need for oversight to ensure everything functions correctly. — DAREN TANTan sees AI as playing a supportive role, despite its sophistication, and stresses the need for oversight to ensure everything functions correctly. — DAREN TAN

He explained that his team had used generative AI to automate genetic test reports. While the AI was effective at generating basic code for many functions, it struggled with some of the innovative approaches they employed.

“The key is learning to work with AI, not expecting it to do everything. It’s like ‘pair programming’ – the AI can suggest and help, but you as a human need to drive the important decisions,” he says.

Senior lecturer and academic leader at the Asia Pacific University of Technology and Innovation (APU) School of Computing, Au Yit Wah, shares a similar perspective, viewing AI as a complementary tool that serves to make programming more accessible.

“AI is not likely to completely replace human programmers. Although AI significantly changes the way developers work, human programmers are likely to remain essential for the foreseeable future.

“One major reason is the complexity and creativity involved in programming. Developing software often requires solving complex, unique problems that demand deep understanding, critical thinking, and innovation.

“AI, while powerful, still struggles with tasks that involve high levels of abstraction and creative design, such as software architecture and the area of UI/UX,” he says.

UI or user interface refers to the visual elements users interact with on a device, while UX or user experience is about how smooth and efficient that interaction feels.

Au adds that while AI can generate code and even identify bugs in the code when properly prompted via natural language programming, the snippets of code still require human expertise to be integrated into a final software solution.

“Human coders must be able to understand the AI-generated code for refining and integrating it into a larger system.

“Without a strong foundation in coding, a strong logical sense, and knowledge of common programming languages, the human coder will not be able to handle the task of putting the AI-generated code to good use,” he says.

Au highlights that despite the progress made with AI-generated code, reliability and security remain an issue.

“The concepts of secure coding strategies and techniques have not been built into the AI-assisted code generation models. Thus, the code generated by the AI models might demonstrate some degree of security features but is not totally reliable.

“For instance, a study by Stanford University found that a significant portion of AI- generated code had security bugs, underscoring the need for thorough testing and validation.

“Additionally, human oversight is crucial – while AI can assist in generating code, developers must carefully review and test it to ensure it meets security and quality standards,” he says.

Lessons in AI

According to Tan, the area where technology is expected to have a significant impact is in education, as there has been a shift in how coding is taught.

He says syllabuses need to be updated quickly to keep pace with this shift, as there is an increasing gap between what is currently taught and what is needed in the field.

“While traditional CS (computer science) enrolment remains strong, there’s growing interest in hybrid learning paths that combine programming fundamentals with AI tools.

“People aren’t learning less coding – they’re learning differently, focusing more on system design, integration and working alongside AI,” he says.

Institutions like Malaysia’s Multimedia University (MMU) have announced plans to establish a Faculty of AI and Engineering by mid-2025. It is also set to introduce AI components into existing Bachelor’s programmes.

Tan says AI is transforming education by offering interactive debugging assistance, generating practice problems and offering instant feedback.

“However, it’s crucial that we teach students to understand underlying principles rather than just relying on AI suggestions,” Tan says.

Au says that while AI can generate code and identify bugs, human expertise is needed to integrate these snippets into a final solution. — APUAu says that while AI can generate code and identify bugs, human expertise is needed to integrate these snippets into a final solution. — APU

Au similarly believes that there will be a paradigm shift in teaching in the IT and coding space.

“The conventional methods of learning coding, problem-solving skills and creative thinking through programming modules not only need to be maintained but also have to be enhanced.

“This is for the purpose of preparing students to use AI tools at the later stages of their formal education.

Tan highlights the need to practice lifelong learning as a principle when in the tech space.

“I have seen lots of fresh grads struggling when they join tech companies because they’re still stuck with outdated frameworks and concepts that nobody uses anymore.

“The reality is tech moves fast. Like, really fast. What worked two years ago might be completely irrelevant now. Think about it – how many of us were talking about prompt engineering or fine-tuning LLMs (large language models) in 2022?

“The challenge isn’t just updating content according to industry needs. It’s about teaching students how to learn and adapt quickly,” he says.

LLMs are designed to process and generate human language. As a subset of AI focused on natural language processing, they enable machines to understand, interpret, and produce human-like text.

According to Au, while it is hard to say if AI has had an impact on the people choosing a career in coding, AI has made the field of coding more accessible as a whole.

He recommends looking at the situation from two perspectives: first, there are students progressing from secondary to tertiary education. Second, there are working adults seeking career changes and self- improvement.

Both groups are increasingly interested in IT and coding due to the AI boom. However, students typically pursue formal education to learn coding.

This trend has led to a surge in enrolment in IT programmes at higher education institutions, especially in AI-related fields. Conversely, adults looking to change careers often prefer AI-powered learning tools, as these are customisable, more affordable, and have lower barriers to entry.

Au also says these learning tools often come with professional certificates upon completing assessments, which have gained popularity as micro-credential programmes offered through online learning platforms.

Au highlights that despite the progress made with AI- generated code, reliability and security remain an issue. — 123rfAu highlights that despite the progress made with AI- generated code, reliability and security remain an issue. — 123rf

The shifting scenes

Tan has observed a rise in “rightsizing” within the US software development market in recent years, with reports indicating smaller intakes at coding schools and bootcamps. However, this trend has not been mirrored in Malaysia.

Tan reiterates that human programmers will continue to be indispensable despite advancements in AI.

“While AI can handle increasingly complex tasks, programming isn’t just about writing code – it’s about understanding business needs, designing scalable systems, ensuring security, and making cost-effective architectural decisions that require human judgement and accountability,” he says.

He says these skills aren’t going anywhere – they’re becoming more valuable. Often, when dealing with stakeholders or clients, they either don’t know what they want or are unaware of what they don’t know.

“We as technical professionals will need to understand their industry, business rules, daily operations and processes in order to propose the right technological solutions to help them improve or solve their problems or pain points,” he says.

For Au, the key is future-proofing oneself by developing a crucial understanding of how software works, with mastery in traditional programming languages such as Python, Java, JavaScript, and C++.

“Strong problem-solving and analytical skills are also crucial, as coding involves breaking down problems into algorithmic steps and converting them into executable solutions.

“The strong fundamentals in theoretical concepts in computer science and good skills in a few of the commonly used coding languages will ensure your relevancy in the coding profession, regardless of AI.

“This foundational knowledge is essential even when working with AI tools. In addition, learning to code from scratch develops strong problem-solving and logical thinking skills.

“These skills are transferable and highly valuable, regardless of whether you’re writing code yourself or using AI to generate it.

“Having a good foundation in those commonly used programming languages and a good understanding of programming logic and constructs will pave the way for coders to provide more accurate instructions to AI tools to generate what the human coder needs,” he says.

Tan feels the future will be one where AI and programmers are in a symbiotic relationship, where humans can be free to “focus on higher-level problems like system architecture, security and complex business logic”.

“Ultimately, what we want to achieve is AI amplifying human capabilities rather than replacing them,” Tan concludes.

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