Princeton University
Early modern readers in Europe demonstrated a mix of curiosity and criticism when encountering the first English translation of the Quran, published in 1649. An analysis of marginalia and flyleaf notes in extant copies reveals a diverse range of reactions, with many readers evaluating the quality of the translation and
Cutaneous leishmaniasis
Researchers from Hazara University in Pakistan have conducted a retrospective study on cutaneous leishmaniasis (CL) in the north-west region of the country. The study, published in BMC Public Health in 2025, reveals a high prevalence of CL in the region, particularly among patients under 20 years of age and in
Wheaton College
A recent study conducted at Wheaton College in Norton, Massachusetts, has highlighted the benefits of using asynchronous online focus groups (AOFGs) in health research, particularly for lesbian, gay, bisexual, transgender, queer, intersex, asexual, and other sexuality- and gender-expansive (LGBTQIA+) young adults with a cervix. The research, funded by the Nora
Cancer
Researchers from the City of Hope have identified a unique set of risk factors for diabetic ketoacidosis (DKA) in patients with hematologic malignancies, particularly those undergoing high-intensity treatment. The findings highlight the importance of close clinical and laboratory monitoring to facilitate rapid diagnosis and treatment of DKA. According to the
Simulation
Scientists at Utrecht University have made a significant breakthrough in understanding the behavior of particle dispersal in ocean ensemble simulations. By using an information theory approach, the researchers were able to define and compare the variability in the ensemble with single-member simulations. The study found that release periods of 12
Bradykinin
Researchers at Purdue University have made significant breakthroughs in understanding the dynamics of neuropeptides, a type of protein that plays a crucial role in intercellular signaling. By employing advanced mass spectrometry techniques, the study has provided valuable insights into the structural and energetic properties of these complex molecules. The research,
Biodiversity
Researchers from the Universidad Catolica de Temuco have conducted a study to monitor the diversity of climbing plants and vascular epiphytes in five small protected areas within the biodiversity hotspot of central Chile. The study aimed to assess the taxonomic distinctness of these plant species and its variations over time
KGHM Polska Miedz S.A.
A trademark application has been made available to the public, filed by Margaret Niver McGann Parsons Behle & Latimer on behalf of KGHM POLSKA MIEDZ Spolka Akcyjna. The applicant, KGHM POLSKA MIEDZ Spolka Akcyjna, is seeking to register the trademark "KGHM" for various goods and services, including electricity,
Electrical conductivity
Researchers from Shandong University have made a groundbreaking discovery in the field of nanotechnology, developing a new type of electromagnetic wave (EMW) absorbing material that exhibits exceptional performance. The study, published in the journal Diamond and Related Materials, reveals that by introducing metal-organic framework (MOF) derivatives into carbon nanofibers (CNFs)
Biochemistry
Proteins play a crucial role in various biological functions, including cellular communication, metabolic regulation, and structural integrity. Accurately predicting protein interaction sites is essential for understanding protein function and behavior. Investigators at the University of Missouri have published a new report introducing MPBind, a multitask protein binding site prediction method
Fermentation
Researchers from Jiangnan University in Jiangsu, People's Republic of China, have made significant breakthroughs in the production of leghemoglobin, a protein essential for cellular oxygen transport and bioavailable iron provision. A new review article published in the World Journal of Microbiology and Biotechnology outlines the recent strategies for
Genomics
Researchers from Tsinghua University have created a new model, Cell Decoder, which integrates biological prior knowledge to provide a multi-scale representation of cells. The model uses automated machine learning and post hoc analysis to decode cell identity and outperforms existing methods. Applied to human bone and mouse embryonic data, Cell
