Academic Articles & Research Papers

A triple-responsive smart controlled-release system for antifungal volatiles: toward sustainable agriculture via pathogen-targeted control and crop growth promotion.

Nano-enabled microbial bioinputs for sustainable agriculture: advances, mechanisms, applications, and future challenges

Microbial bioinputs have emerged as key components of sustainable agriculture owing to their ability to promote plant growth, improve nutrient acquisition, enhance tolerance to biotic and abiotic stresses, and suppress phytopathogens. Despi...

Encapsulation of granulocyte colony-stimulating factor and granulocyte-macrophage colony-stimulating factor in liposomes prepared by thin film hydration and their transfer to mesenchymal stem cells and cord blood hematopoietic stem cells

Introduction Cytokines are important immune modulator factors controlling homeostasis of the body and are involved in tissue regeneration after wound healing. The encapsulation of cytokines in liposomes has many advantages potentially usefu...

Lipid-mediated gating of a miniature mechanosensitive MscS channel from Trypanosoma cruzi

Abstract The mechanosensitive channel of small conductance (MscS) from E. coli (EcMscS) has served as the prevailing model system for understanding mechanotransduction in ion channels. Trypanosoma cruzi, the protozoan parasite causing Chaga...

Water mites (Acari, Hydrachnidia) of riparian springs in a small lowland river valley: what are the key factors for species distribution?

This paper examines the impact of disturbance factors—flooding and intermittency—on the distribution of water mites in the riparian springs situated in the valley of a small lowland river, the Krąpiel. The landscape factors and physicochemi...

Efficacious role of silica nanoparticles in improving growth and yield of wheat under drought stress through stress-gene upregulation

Climate change is now evident and severe water shortage due to unpredictable raining season along with extended summers is expected to hamper crop production across the globe. Application of nanoparticle based formulations is one of the mos...

Artificial intelligence in clinical medicine: a state-of-the-art overview of systematic reviews with methodological recommendations for improved reporting

Medicine has become increasingly receptive to the use of artificial intelligence (AI). This overview of systematic reviews (SRs) aims to categorise current evidence about it and identify the current methodological state of the art in the fi...

Genome-Wide Characterization of HERV-Derived RNA Regulatory Potential in the Human Transcriptome.

Evolutionary Constraints Improve Protein Large Language Model Predictions for Protein Stability, Binding Regions, and Epistasis.

Aldehyde dehydrogenases for oligo-isoprene aldehyde oxidation in Rhodococcus sp. RDE2.

Application of plant viruses in biotechnology with relation to artificial intelligence, machine learning, and nanotechnology.

Predictive comparison and evaluation of ANN and ANFIS as effective tools in modeling prodigiosin production by Serratia marcescens ND93.

Sensor-integrated industrial exoskeletons for ergonomic risk reduction: a systematic review of biomechanical outcomes and intelligent control systems.

A novel meta-feature fusion stacked ensemble for CT-based gynecologic cancer staging and survival analysis.

Tracking and Analysis of the Movement Behavior of European Seabass (Dicentrarchus labrax) in Aquaculture Systems

Monitoring and understanding fish behavior is crucial for achieving precision in everyday husbandry practices (i.e. for optimizing farm performance), and for improving fish welfare in aquaculture. Various intelligent monitoring and control ...

Humanized substitutions of Vmat1 in mice alter amygdala-dependent behaviors associated with the evolution of anxiety

Summary: The human vesicular monoamine transporter 1 (VMAT1) harbors unique substitutions (Asn136Thr/Ile) that affect monoamine uptake into synaptic vesicles. These substitutions are absent in all known mammals, suggesting their contributio...

What are artificial neural networks?

Programmable self-gelling hydrogel powders: from hemostatic dressings to integrated therapeutic platforms for complex wound management.

Deep learning for regulatory genomics

Deep metabolome: Applications of deep learning in metabolomics

In the past few years, deep learning has been successfully applied to various omics data. However, the applications of deep learning in metabolomics are still relatively low compared to others omics. Currently, data pre-processing using con...