Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: mobile phones

Fragmented phone use—not total screen time—is the main driver of information overload, study finds

Amid hot discussion on screen time, social media use and the impact of digital devices on our well-being, a seven-month study from Aalto University in Finland sheds new light on what overwhelms users the most—and the results aren’t what you might think.

“Screen time does matter, but the heaviest users aren’t the most overloaded,” says doctoral researcher Henrik Lassila. “Those who feel most overwhelmed are the ones who return to their phone again and again for brief moments and then put it down shortly after.”

The seven-month study followed the digital behavior of nearly 300 adults in Germany across smartphones and computers. Participants completed repeated surveys about information overload, while all apps and websites used were logged, creating a rich longitudinal dataset of real world device use.

Stabilized laser components could shrink quantum computers from room- to chip-scale

Scientists in the Riccio College of Engineering at the University of Massachusetts Amherst and the University of California Santa Barbara have demonstrated key laser and ion trap components necessary to help drastically shrink the size of quantum computers, an achievement aligned with the shrinking of integrated microprocessors in the 1970s, 80s and 90s that allowed computers to move from room-sized behemoths to today’s ultrathin smartphones.

The current state-of-the-art technology for quantum computing is too large and complex to scale and too sensitive and bulky to be portable. The largest and most sensitive components of these quantum systems are the optics, which include multiple lasers and vibration-isolated, temperature-controlled vacuum chambers that contain ultrastable optical cavities. These cavities stabilize the lasers to extremely high precision in order to control trapped ions for quantum computing and optical clocks.

Hygroscopic salts pull lithium from mining waste using only moisture from air

The world cannot have enough of the third element on the periodic table. From smartphones and laptops to state-of-the-art EVs, all are powered by lithium batteries. The demand for metal is only going to rise, and projected values suggest nearly a triple increase in demand by 2030. The traditional process of lithium mining is both water and energy-hungry. One such step is the dissolution of lithium salts from other competing minerals during the separation process.

In a study published in Nature Communications, researchers present a clever way to harness the deliquescence of lithium chloride hydrate (LHT)—a unique ability to naturally pull moisture from the air to dissolve itself—to extract and concentrate lithium from mining waste while leaving behind unwanted minerals.

The method achieved up to 97% lithium recovery with an increase in the lithium purity by 1,500 times, producing a liquid concentrate with lithium levels reaching 97,000 parts per million, which was more than twice as concentrated as the standard solutions used in battery processing.

Three-in-one diode integrates sensing, memory and processing for smart cameras

Think about how easily you recognize a friend in a dimly lit room. Your eyes capture light, while your brain filters out background noise, retrieves stored visual information, and processes the image to make a match. It all happens in a fraction of a second and uses remarkably little energy. Unfortunately, artificial vision systems in smartphones, cameras, and autonomous machines operate more like an assembly line. In our recent paper published in Nature Electronics, we describe how we addressed this challenge by enabling sensing, memory, and processing within the same device, pointing to a possible route toward more efficient machine vision.

The iGaN Laboratory led by Professor Haiding Sun at the School of Microelectronics, University of Science and Technology of China (USTC), in collaboration with multiple institutions, developed the multifunctional semiconductor diode with integrated photosensing, memory, and processing capabilities.

To understand the challenge, it helps to look at the basic building block of modern digital cameras: the semiconductor p-n diode. These tiny junctions act as the light-sensing pixels in imaging systems. However, a conventional diode is usually limited to a single function. It converts light into an electrical signal, and the captured data must then be transferred to separate memory and processing units. Moving this data back and forth consumes time, power, and chip area.

Abstract: The PIM kinase family is involved in tumorigenesis, yet its role in primary T cells remains largely uncharacterized

https://doi.org/10.1172/JCI192928 Here, Xue-Zhong Yu & team identify Pim2 as a key negative regulator of CD8 T-cell antitumor immunity and validate it as a potential therapeutic target for enhancing cancer immunotherapy.

Electron microscopy images show visible autophagosomes in activated WT T cells, but not in Pim2-KO cells, supporting a model in which the PIM2 promotes T cell autophagy.

Address correspondence to: Xue-Zhong Yu or Yongxia Wu, Department of Microbiology and Immunology, Medical College of Wisconsin, 8,701 Watertown Plank Road, Milwaukee, Wisconsin, 53,226, USA. Phone: 414.955.8187; Email: [email protected] (XZY). Phone: 414.955.8148; Email: [email protected] (YW).

Wristband enables wearers to control a robotic hand with their own movements

Massachusetts Institute of Technology (MIT) engineers have developed an ultrasound wristband that precisely tracks hand movements in real-time for robotics and virtual reality control.

The next time you’re scrolling your phone, take a moment to appreciate the feat: The seemingly mundane act is possible thanks to the coordination of 34 muscles, 27 joints, and over 100 tendons and ligaments in your hand. Indeed, our hands are the most nimble parts of our bodies. Mimicking their many nuanced gestures has been a longstanding challenge in robotics and virtual reality.

Now, MIT engineers have designed an ultrasound wristband that precisely tracks a wearer’s hand movements in real-time. The wristband produces ultrasound images of the wrist’s muscles, tendons, and ligaments as the hand moves, and is paired with an artificial intelligence algorithm that continuously translates the images into the corresponding positions of the five fingers and palm.

Abstract: ADAMTS7 has been repeatedly associated with coronary artery disease

ADAMTS7 has been repeatedly associated with coronary artery disease.

https://doi.org/10.1172/JCI187451 In this Research Article, Robert C. Bauer & team use the largest human atherosclerosis carotid artery scRNA-seq dataset and new mouse models to demonstrate that ADAMTS7 is expressed across multiple vascular cell types and contributes to atherosclerosis by promoting lipid accumulation in smooth muscle cells.

The image shows smooth muscle cells labeled with ZsGreen and counterstained with DAPI (blue) for nuclei—indicating increased foam cells from a diet-induced mouse model of atherosclerosis with Adamts7-overexpressing SMCs were from SMC origin.

1Cardiometabolic Genomics Program, Division of Cardiology, Department of Medicine, Columbia University, New York, New York, USA.

2Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.

Address correspondence to: Robert C. Bauer, Cardiometabolic Genomics Program, Division of Cardiology, Department of Medicine, Columbia University, 630 W. 168th Street, PS10-401, New York, New York 10,032, USA. Phone: 1.212.342.0952; Email: [email protected].

Continue reading “Abstract: ADAMTS7 has been repeatedly associated with coronary artery disease” | >

New computational biology for genome sequencing analysis

To improve the ability of metapipeline-DNA to determine where changes in the genome have occurred, the scientists worked with the Genome in a Bottle Consortium led by the U.S. Department of Commerce’s National Institute of Standards and Technology. By incorporating this public-private-academic consortium’s meticulously validated resources, the researchers reduced the rate of false positives without reducing the tool’s precision in finding true genetic variants.

The researchers also produced two case studies demonstrating the pipeline’s capabilities for cancer research. The investigators used metapipeline-DNA to analyze sequencing data from five patients that donated both normal tissue and tumor samples, as well as another five from The Cancer Genome Atlas.

The next step is to get metapipeline-DNA into more labs to accelerate discoveries, and to continue improving the resource with more user feedback. ScienceMission sciencenewshighlights.

In a single experiment, scientists can decipher the entire genomes of many patient samples, animal models or cultured cells. To fully realize the potential to study biology at this unprecedented scale, researchers must be equipped to analyze the titanic troves of data generated by these new methods.

Scientists published findings in Cell Reports Methods discussing building and testing a new computational tool for tackling massive and complex sequencing datasets. The new resource, named metapipeline-DNA, may also make sequencing data analysis more standardized across different research labs.

The sequence of a single human genome represents about 100 gigabytes of raw data, the rough equivalent of 20,000 smartphone photos. The sheer scale of experimental data increases significantly as tens or hundreds of genomes are added into the mix.

Continue reading “New computational biology for genome sequencing analysis” | >

/* */