Results 201 to 210 of about 134,753 (307)

Semen Quality in Rams Is Severely but Temporarily Affected by Bluetongue Virus Serotype 3 Infection. [PDF]

Viruses
Martinelle L, Egyptien S, Dechene L, Somville M, Derkenne F, Deleuze S.   +5 more
europepmc   +1 more source

Self‐Immolative Activatable Nanoassembly toward Immuno‐Photodynamic Therapy in TME

Advanced Functional Materials, EarlyView.
A quinone methide‐gated, self‐immolative, H2O2‐responsive nano‐photosensitizer (Pyz/PS) is developed for targeted immuno‐photodynamic therapy. Pyz/PS selectively activates within tumor microenvironments, restores photosensitizer activity, generates ROS, and depletes intracellular GSH, enhancing oxidative stress.
Jing Li, E Pang, Snehasish Debnath, Jia Hong, Aojun Qiu, Dongeun Kim, Goeun Kim, Minhuan Lan, Min‐Goo Lee, Qian‐Yong Cao, Jong Seung Kim   +10 more
wiley   +1 more source

Integrating Near-Infrared Spectroscopy and Proteomics for Semen Quality Biosensing. [PDF]

Biosensors (Basel)
Dlamini NH, Santos-Rivera M, Vance-Kouba CK, Pechanova O, Pechan T, Feugang JM.   +5 more
europepmc   +1 more source

Reevaluating the Activity of ZIF‐8 Based FeNCs for Electrochemical Ammonia Production

Advanced Functional Materials, EarlyView.
Though receiving much attention, the field of electrochemical nitrogen reduction reaction (eNRR) to ammonia is marked by doubts about whether this reaction is possible in aqueous media. This work sheds light on this question for iron single‐atom on N‐doped carbon (FeNC) catalysts—a class of well‐known catalysts that is also worth testing for the sister
Caroline Schneider, S. Esmael Balaghi, Niklas Ortlieb, Patrick Elsaesser, Sima Heidari, Christopher S. Allen, Anna Fischer   +6 more
wiley   +1 more source

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

Advanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva, Giulio Fatti, Emanuel Carlos, Guilherme Ferreira, Sumita Goswami, Suman Nandy, Luiz H. C. Mattoso, Elvira Fortunato, Caio G. Otoni, Rodrigo Martins   +9 more
wiley   +1 more source

Unraveling the role of bacteria with heritable versus non-heritable relative abundance in the gut on boar semen quality. [PDF]

Genet Sel Evol
Guo L, Pei X, Tan J, Sun H, Jiang S, Wei H, Peng J.   +6 more
europepmc   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Precursor A-Kinase Anchor Protein 4 as a Predictive Biomarker of Post-Thaw Semen Quality in Goats. [PDF]

Vet Sci
Eser A, Alakuş A, Bağcı K, Cihangiroğlu AÇ, Yağcıoğlu S, Arıcı R, Demir K.   +6 more
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Factor Analysis of Semen Quality in Chicken and Its Impact on Fertility. [PDF]

Animals (Basel)
Li Y, Sun Y, Ni A, Tesfay HH, Isa AM, Zong Y, Ma H, Yuan J, Chen J.   +8 more
europepmc   +1 more source