Springer Nature
Unravelling the bioactive potential of a bacterial symbiont of a tropical bird
Novel Amycolatopsis sp. PS_44_ISF1 isolated from the uropygial gland of Pachycephala schlegelii possesses the ability to produce a series of bioactive compounds, including two novel families of metabolites. Our study exemplifies the underexplored chemical potential of bacterial symbionts of birds.
Design of an Online Adaptive Fractional-Order Proportional-Integral-Derivative Controller to Reduce the Seismic Response of the 20-Story Benchmark Building Equipped with an Active Control System
Te objective of the present investigation is to introduce a novel adaptive fractional-order proportional-integral-derivative controller, which is characterized by the online tuning of its parameters
Growth in Children After Kidney Transplant a retrospective observational Single-Center Study
KTX is the best treatment for children with end-stage kidney disease (ESKD). It greatly improves their quality of life. Children's growth is one of the chronic issues that is known to be compromised during ESKD; therefore, catch-up growth is usually expected to be seen after KTX.
Analyzing the green hydrogen value chain against the sustainable development goals
Peyerl, D., van der Zwaan, B. Analyzing the green hydrogen value chain against the sustainable development goals. Discov Sustain 5, 199 (2024). https://doi.org/10.1007/s43621-024-00374-4
Synthesis and Characterization of New Schiff Base Containing 1,2,4-Triazole-3-Thione Moiety and its Complexes with Some Transition Metal Ions: Spectroscopic and Computational Studies
A new search marks the end of a discovery journey and the beginning of a new one
EMR-based prediction models developed and deployed in the HIV care continuum: a systematic review
EMR-based prediction models are now used in clinical decision support for HIV care. However, there is limited information about the methodological issues and clinical implications in the HIV care settings.
An Unexpected Journey in Hydrological Forecasting
Witness the unpredictable nature of hydrological forecasting, where droughts can swiftly turn into devastating floods. This research delves into the challenges we faced in predicting 2021 summer flood event in west Germany, highlighting the need for resilience in the face of nature's extremes.
Prediction of soil temperatures using artificial intelligence
Soil temperatures at various depths of soil are important in changing environments to understand all properties of soil. This is essential in reaching food sustainability. We developed a novel model to predict soil temperature at both surface and 10 cm depth of soil in Nukus, Uzbekistan.
Challenges of Elephant Protection and Biodiversity Amid Environmental Conservation Laws
The conservation of elephants and biodiversity faces multifaceted
challenges within the framework of environmental conservation laws worldwide, with particular complexities observed in India and various other nations.
Probability-Based Multi-objective Optimization for Material Selection, 2nd ed.
This book ilustrates a new concept of preferable probability and its assessment for material selection; it inolves experimental design, robustness, discretization, fuzzy value and cluster analysis in the new method; it covers applications in portfolio investment and shortest path for the first time.
