Results 1 to 10 of about 505,261 (118)
Highlights Ketosis‐prone type 2 diabetes mellitus (T2DM) is a novel type of diabetes mellitus, distinguished from type 1 diabetes mellitus and T2DM. Its clinical characteristics are complex and there is a lack of auxiliary tools for differential diagnosis.
Jia Zheng +7 more
wiley +1 more source
Highlights Diabetic ketoacidosis rate and HbA1c were not elevated in pediatric patients with type 1 diabetes mellitus (T1DM) and severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection. Pediatric patients with known T1DM did not show an elevated COVID‐19 manifestation index; only pediatric patients with coincident SARS‐CoV‐2 infection ...
Bastian Raphael Büttner +9 more
wiley +1 more source
Highlights This prospective study compares 15 patients with immune‐checkpoint induced diabetes mellitus (CPI‐DM) with a propensity score matched cohort of patients with other diabetes types. Diabetic ketoacidosis at onset and autoimmune comorbidity is more frequent in CPI‐DM patients. This can be avoided by regular glucose measurements and education on
Sascha R. Tittel +10 more
wiley +1 more source
Many nocturnal animals are difficult to study because they are rarely seen, including nocturnal primates, galagos and pottos, in West Africa. Working with over 600 people in 52 villages in southern Guinea‐Bissau, we found that communities frequently recognized galagos by their red eyeshine and distinctive calls, while pottos were not known.
Chloe Chesney +6 more
wiley +1 more source
Evaluating synthetic substitutes to reduce illegal harvesting and support species recovery
Abstract Providing synthetic substitutes is a widely promoted strategy to shift consumer demand away from wildlife products derived from threatened species. Yet, there is little evidence on whether product substitution prevents illegal or unsustainable harvesting and contributes to the recovery of threatened populations.
Aditya Shekhar Malgaonkar +17 more
wiley +1 more source
Emerging applications of large language models in ecology and conservation science
Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides +5 more
wiley +1 more source
ABSTRACT Near‐infrared (NIR) phosphors with broadband and efficient emission are pivotal for the performance of NIR phosphor‐converted light emitting diodes (pc‐LEDs). In this study, the double perovskite phosphor La2MgTiO6:Cr3+ phosphor with broadband emission in the range of 650–950 nm was prepared.
Xu Qian +7 more
wiley +1 more source
ABSTRACT Early diagnosis of liver cancer demands high sensitivity, high specificity, convenience and real‐time monitoring capabilities. However, it encounters challenges such as low concentration of markers, numerous interfering factors, and limitations of detection technologies.
Changsheng Shi +10 more
wiley +1 more source
ABSTRACT The residue of mesotrione poses an increasingly serious threat to the environment and human health. Thus, it is essential to establish a platform that integrates rapid detection and efficient degradation. Covalent organic frameworks (COFs) materials have garnered significant attention owing to their designability.
Yong Xie +3 more
wiley +1 more source
ABSTRACT Narrowband near‐infrared (NIR) phosphor‐converted light‐emitting diodes (pc‐LEDs) featuring low full‐width at half maximum (FWHM) and high conversion efficiency are crucial for chemical content evaluation, light therapy, and bioimaging.
Chunshen Li +4 more
wiley +1 more source

