Author Correction: Global scenarios for significant water use reduction in thermal power plants based on cooling water demand estimation using satellite imagery
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Bridging art and science
Ahna Skop is a geneticist and artist at the University of Wisconsin–Madison, USA. Ahna’s lab studies the assembly and function of mammalian midbody and midbody remnant, which are assembled at the end ...
The challenge of studying interfaces in battery materials
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Build your own receptor: modular system can be tailored to any antigen
A new technology called PAGER allows researchers to create custom G-protein-coupled receptors.Credit: Juan Gaertner/Science Photo Library Cell-surface receptors are crucial for cells to sense and res...
Daily briefing: Explore 2024 with Leif Penguinson
You can also search for this author in PubMed Google Scholar Can you spot the penguin in every game this year? At the height of the COVID-19 pandemic, a hero was born: Leif Penguinson, a Rockhopper ...
Can novelty scores on papers shift the power dynamics in scientific publishing?
Novelty scores can help journals to predict whether a manuscript will be impactful.Credit: PRUDENCIOALVAREZ/iStock via Getty A publication platform called DeSci Publish aims to predict the impact of ...
That Christmas jumper is a marvel of complicated physics
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Behind the scenes of Nature News & Views in 2024
You can also search for this author in PubMed Google Scholar You can also search for this author in PubMed Google Scholar You can also search for this author in PubMed Google Scholar From a Death S...
Correction: Protecting User Privacy and Rights in Academic Data-Sharing Partnerships: Principles From a Pilot Program at Crisis Text Line
In “Protecting User Privacy and Rights in Academic Data-Sharing Partnerships: Principles From a Pilot Program at Crisis Text Line” (J Med Internet Res 2019;21(1):e11507) [], a change has been made to the Conflicts of Interest section.
Automated Pathologic TN Classification Prediction and Rationale Generation From Lung Cancer Surgical Pathology Reports Using a Large Language Model Fine-Tuned With Chain-of-Thought: Algorithm Development and Validation Study
Background: Traditional rule-based natural language processing approaches in electronic health record systems are effective but are often time-consuming and prone to errors when handling unstructured data. This is primarily due to the substantial manual effort required to parse and extract informati...
Large Language Models in Gastroenterology: Systematic Review
Background: As health care continues to evolve with technological advancements, the integration of artificial intelligence into clinical practices has shown promising potential to enhance patient care and operational efficiency. Among the forefront of these innovations are large language models (LLM...
Call for Decision Support for Electrocardiographic Alarm Administration Among Neonatal Intensive Care Unit Staff: Multicenter, Cross-Sectional Survey
Background: Previous studies have shown that electrocardiographic (ECG) alarms have high sensitivity and low specificity, have underreported adverse events, and may cause neonatal intensive care unit (NICU) staff fatigue or alarm ignoring. Moreover, prolonged noise stimuli in hospitalized neonates c...
Resting Heart Rate and Associations With Clinical Measures From the Project Baseline Health Study: Observational Study
Background: Though widely used, resting heart rate (RHR), as measured by a wearable device, has not been previously evaluated in a large cohort against a variety of important baseline characteristics. Objective: This study aimed to assess the validity of the RHR measured by a wearable device compare...
Investigating eHealth Lifestyle Interventions for Vulnerable Pregnant Women: Scoping Review of Facilitators and Barriers
Background: The maintenance of a healthy lifestyle significantly influences pregnancy outcomes. Certain pregnant women are more at risk of engaging in unhealthy behaviors due to factors such as having a low socioeconomic position and low social capital. eHealth interventions tailored to pregnant wom...
Prenatal exposure to endocrine disrupting chemicals and the association with behavioural difficulties in 7-year-old children in the SELMA study
We found an overall increase in behavioural difficulties at 7 years in connection with exposure to mixtures of chemicals. Especially in girls there seems to be an increase in behavioural difficulties ...
Comprehensive microcrystal electron diffraction sample preparation for cryo-EM
Kuang, Q. et al. Dead-end complex, lipid interactions and catalytic mechanism of microsomal glutathione transferase 1, an electron crystallography and mutagenesis investigation. Sci. Rep. 7, 7897 (201...
Preparing submicrometer crystals for electron diffraction
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Factors Associated With Digital Capacity for Health Promotion Among Primary Care Workers: Cross-Sectional Survey Study
Background: Health education and promotion are recognized as effective strategies for fostering healthy ageing, reducing the disease burden, and addressing health inequalities, particularly when delivered through digital media. Primary care workers are often regarded as the key providers of these in...
mHealth Engagement for Antiretroviral Medication Adherence Among People With HIV and Substance Use Disorders: Observational Study
Background: Despite the increasing popularity of mobile health (mHealth) technologies, little is known about which types of mHealth system engagement might affect the maintenance of antiretroviral therapy among people with HIV and substance use disorders. Objective: This study aimed to use longitudi...
Building a Foundation for High-Quality Health Data: Multihospital Case Study in Belgium
Background: Data quality is fundamental to maintain the trust and reliability of health data for both primary and secondary purposes. However, before secondary use of health data, it is essential to assess the quality at the source and to develop systematic methods for the assessment of important da...
Developing a Sleep Algorithm to Support a Digital Medicine System: Noninterventional, Observational Sleep Study
Background: Sleep-wake patterns are important behavioral biomarkers for patients with serious mental illness (SMI), providing insight into their well-being. The gold standard for monitoring sleep is polysomnography (PSG), which requires a sleep lab facility; however, advances in wearable sensor tech...
Bridging the digital–physical divide using haptic and wearable technologies
Dwivedi, Y. K. et al. Metaverse beyond the hype: multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. Int. J. Inf. Manag. 66, 102542 (202...
Decades in the Making: The Evolution of Digital Health Research Infrastructure Through Synthetic Data, Common Data Models, and Federated Learning
Traditionally, medical research is based on randomized controlled trials (RCTs) for interventions such as drugs and operative procedures. However, increasingly, there is a need for health research to evolve. RCTs are expensive to run, are generally formulated with a single research question in mind,...
Patient Organizations' Digital Responses to the COVID-19 Pandemic: Scoping Review
Background: Patient organizations (POs) play a crucial role in supporting individuals with health conditions. Their activities range from counseling to support groups to advocacy. The COVID-19 pandemic and its related public health measures prompted rapid digital transformation efforts across multip...
Unveiling the Influence of AI on Advancements in Respiratory Care: Narrative Review
Background: Artificial intelligence is experiencing rapid growth, with continual innovation and advancements in the health care field. Objective: This study aims to evaluate the application of artificial intelligence technologies across various domains of respiratory care. Methods: We conducted a na...
Early Attrition Prediction for Web-Based Interpretation Bias Modification to Reduce Anxious Thinking: A Machine Learning Study
Background: Digital mental health is a promising paradigm for individualized, patient-driven health care. For example, cognitive bias modification programs that target interpretation biases (cognitive bias modification for interpretation [CBM-I]) can provide practice thinking about ambiguous situati...
Is political interference causing faculty brain drain in the southern United States?
Students at New College of Florida, Sarasota, protest last year at plans, now in place, to change the university’s programmes on diversity, equity and inclusion.Credit: Rebecca Blackwell/AP/Alamy A s...
I create routes through trees to help stop howler monkeys being electrocuted by power lines
“When I was a child living on the southern Pacific coast of Costa Rica, my parents would take me to see golden-mantled howler monkeys (Alouatta palliata palliata) in the forest most weekends. Howler m...
Transsynaptic labeling and transcriptional control of zebrafish neural circuits
Glickstein, M. Golgi and Cajal: the neuron doctrine and the 100th anniversary of the 1906 Nobel Prize. Curr. Biol. 16, R147–R151 (2006). Luo, L., Callaway, E. M. & Svoboda, K. Genetic dissection of n...
Observation of microscopic confinement dynamics by a tunable topological θ-angle
We thank H. Zhai for discussions. This work was supported by the NNSFC (Grant No. 12125409), the Innovation Programme for Quantum Science and Technology (Grant No. 2021ZD0302000) and an Anhui Provinci...
