Microcrystalline cellulose (MCC) was extracted from watermelon rind using acid hydrolysis. MCC can be efficiently used as reinforcement in biofilms and biocomposites. Abstract The increasing accumulation of agricultural waste from watermelon (Citrullus lanatus) represents a substantial environmental concern, particularly in view of the extensive ...
Indran Suyambulingam +7 more
wiley +1 more source
Exploring oceanic depths: unveiling hidden treasures with IoT and ensembled deep hybrid learning model. [PDF]
Tada S, Jeevanantham V.
europepmc +1 more source
A soft computing based approach using modified selection strategy for feature reduction of medical systems. [PDF]
Zuhtuogullari K, Allahverdi N, Arikan N.
europepmc +1 more source
SPROUTS_DB: An Implemented Database of Contaminants for Extracellular Vesicle Proteomics Studies
ABSTRACT Current proteomics techniques allow rapid identification and quantification of proteins within any given biological source. However, LC–MS/MS proteomics is vulnerable to laboratory and sample‐associated contaminants. Therefore, accurate identification and annotation of such contaminants is crucial for development of reliable databases ...
Maria Gaetana Giovanna Pittalà +10 more
wiley +1 more source
Qualitative comparison of decalcifiers for mouse bone cryosections for subsequent biophotonic analysis. [PDF]
Mandal S +10 more
europepmc +1 more source
Silk-Enabled Conformal Multifunctional Bioelectronics for Investigation of Spatiotemporal Epileptiform Activities and Multimodal Neural Encoding/Decoding. [PDF]
Shi Z +11 more
europepmc +1 more source
The Age and Origin of Block Deposits in the Victorian Alps, Australia
ABSTRACT Large periglacial block deposits are found in the mountains of southeastern Australia. Despite their widespread distribution, their mode of formation and age are poorly understood. These landforms hold considerable potential to shed light on the nature of cooling during glacial periods. In this paper we present a new study of block deposits in
Timothy T. Barrows +4 more
wiley +1 more source
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen +8 more
wiley +1 more source
Deciphering the Tumor Uptake of Heterobivalent (SST<sub>2</sub>/Albumin) [<sup>64</sup>Cu]Cu-NODAGA-cLAB-TATEs. [PDF]
Brandt F +8 more
europepmc +1 more source

