Cerebellar developmental differences between preterm- and term-born children persist into early childhood
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Child-monitoring apps might need a reboot
Some parents are even building their own solutions. Frustrated by available offerings, Callaghan, the Australian dad, created a web-based tool called Joey Family. The idea is not to catch his son doing something wrong but to answer a simple question: “Is he happy?” He wanted to know if his kid was lonely, whether he sent more messages than he got back. The data opened conversations. “The people I’m trying to help are people like me who want to have that relationship with their kids,” Callaghan told me. “They want to be guides and learners.”
If anything is fundamental, it’s the relationship: Online safety efforts work best when anchored by a young person’s trust in someone else. For kids whose homes aren’t safe—like M., or Wisniewski when she was young—that someone can even be an online community. “There are so many ways where we can find real community online,” says Caitlyn Vergara, a child-safety researcher at Harvard who studies youth mental health. “Especially for youth of color coming from majority-white spaces, it is a legitimate way to find community when community is not tangible around you.” Walling off kids in the name of safety can isolate them, she says; the point is to make sure every kid has somewhere safe to belong.
The core tension is that families are being asked to solve at the kitchen table a problem engineered in boardrooms. Monitoring is one answer to that assignment, but while it might mitigate risks from outside the home, it can also damage the trust inside it. The best parents can do is refuse to become one more thing their kids have to hide from—and stop believing they should have to fix a dangerous situation alone.
Vibrating Mattress and Nitric-Oxide Pill May Clear Alzheimer’s Protein From The Brain
Blood levels of beta-amyloid 42 rose by an average of 35% in healthy adults who spent 40 minutes on a gently vibrating mattress while taking two nitric-oxide-releasing sublingual pills. That result, from Vesa Kiviniemi of the University of Oulu and colleagues, is the study’s central finding, and it needs immediate context to make sense.
Beta-amyloid 42 is a protein involved in normal neuronal signaling, but when it misfolds and clumps inside the brain tissue, those aggregates are associated with Alzheimer’s disease.
NSF–DOE Vera C. Rubin Observatory Reveals Its First Dwarf Planet Candidate in Our Solar System
The U.S. National Science Foundation (NSF) and the U.S. Department of Energy (DOE) Office of Science will support Rubin Observatory in its operations phase to carry out the Legacy Survey of Space and Time. They will also provide support for scientific research with the data. During operations, NSF funding is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with NSF, and DOE funding is managed by SLAC National Accelerator Laboratory (SLAC), under contract by DOE. Rubin Observatory is operated by NSF NOIRLab and SLAC.
NSF is an independent federal agency created by Congress in 1950 to promote the progress of science. NSF supports basic research and people to create knowledge that transforms the future.
The DOE Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of the most pressing challenges of our time.
Pulsed electrolysis for carbon–heteroatom bond formation in chemical production
Pulsed electrolysis could provide an alternative to conventional electrosynthetic carbon–heteroatom bond formation for chemical synthesis. This Review examines how pulsed electrolysis enables different reaction modes and improves selectivity, stability and cost, and outlines key scale-up challenges.
Miro1 protein linked to insulin resistance in type 2 diabetes
A protein called Miro1 found at elevated levels in the skeletal muscle of people with Type 2 diabetes may contribute to insulin resistance, potentially making it a target for future treatments that help the body regulate blood sugar, according to a study published today in Nature Communications. Researchers found that removing Miro1 restored the muscles’ response to insulin in preclinical models, while exercise reduced the protein’s levels in people with Type 2 diabetes.
The study was led by senior author Dr. John P. Kirwan, recently named executive director of the OU Health Harold Hamm Diabetes Center at the University of Oklahoma. He conducted the research while at LSU’s Pennington Biomedical Research Center and now brings his internationally recognized translational research program to OU, where he will build on his work to advance the understanding and treatment of diabetes. The study’s first author is Elizabeth Heintz, a doctoral candidate who worked in the Integrated Physiology and Molecular Medicine Laboratory at Pennington Biomedical, and the co-corresponding author is Christopher Axelrod, who has since joined Kirwan at the Harold Hamm Diabetes Center.
This research exemplifies the breadth of scientific discovery at Pennington Biomedical, where research spans all levels, from basic science that reveals the biological mechanisms underlying disease to clinical studies and population-based research that informs public health. Dr. Kirwan and his team’s findings on Miro1 demonstrate the value of this integrated approach, connecting fundamental discoveries about muscle function with insights into insulin resistance and the benefits of exercise in people with Type 2 diabetes. This work is advancing our understanding of diabetes and helping lay the foundation for future approaches to prevention and treatment.
Cannabis Use and Head and Neck Cancer
This retrospective cohort study used a globally federated health research network that provided access to consistently updated deidentified electronic medical records (TriNetX).27 We used the US Collaborative network, which provided access to data from 64 health care organizations that accounted for greater than 90 million individuals. The cohort consisted of tertiary care centers within the US. The database complies with the Health Insurance Portability and Accountability Act, as information is supplied only in aggregated counts of 10 or greater with deidentified information only.
Two cohorts were created to compare relative risk of various HNCs. Cohort 1 (cannabis-related disorder group) included individuals who received a diagnosis of cannabis-related disorder (International Statistical Classification of Diseases, Tenth Revision, Clinical Modification [ICD-10-CM] F12) and had a recorded outpatient hospital clinic visit (Healthcare Common Procedure Coding System: G0463) with no prior history of HNC. Cannabis-related disorders are defined by the excessive use of cannabis with associated psychosocial symptoms, such as impaired social and/or occupational functioning.19 Cohort 2 (no cannabis-related disorder group) included individuals who had a recorded outpatient hospital clinic visit, never received a diagnosis of cannabis use disorder, and did not have a history of HNC. Each group was defined by diagnosis or hospital visit from April 19, 2004, to April 19, 2024. Similar groups were created, with stratification by age (younger than 60 years or 60 years or older, as per previous research).26 The analysis was completed on April 19, 2024. The ICD-10 and Healthcare Common Procedure Coding System codes used are documented in the eTable in Supplement 1.
A Compartmental Model of Obesity with Treatment Response and Relapse Endemic Equilibrium Analysis and Long-Term Dynamics
In this paper, we examine the long-term dynamics of obesity under conditions of treatment response and relapse using a four-compartment dynamical model motivated by the growing use of GLP-1 receptor agonist therapy. The model is partially calibrated to Georgia Behavioral Risk Factor Surveillance System (BRFSS) data from 2011 to 2024 and reproduces the observed trends closely. We establish the existence of a unique endemic equilibrium, linking model parameters directly to long-run prevalence. Simulations show that increasing the effective treatment-transition rate on its own produces only modest reductions in prevalence. Sensitivity analysis shows that, under the baseline setting, equilibrium obesity prevalence is most strongly influenced by obesity progression and partial recovery. Under the enhanced treatment-response setting, the effective treatment-transition rate becomes the strongest negative driver, while obesity progression remains the strongest positive driver and the influence of relapse increases substantially. Improving access to GLP-1-based treatment may increase the effective treatment-transition rate, but access alone is not sufficient. Lasting reductions in prevalence also require managing relapse, so policy design needs to address adherence and long-term retention, not access alone.
Obesity Modeling, Compartmental Systems, Endemic Equilibrium, Treatment Response, Relapse Dynamics, GLP-1 Therapy, Sensitivity Analysis
Mars may host an environment similar to hydrothermal vents on Earth, where life first arose
Magma and a possible environment for ancient life might be present on Mars in the region of a large volcano on the Red Planet.
New cyberattack on supermarket fridges sweeps across Europe
The hacking attack on European supermarkets hit fridges and freezers from Sweden to Belgium and forced stores to throw away food in an incident that echoed a similar attack in France last month.