Results 41 to 50 of about 1,522,425 (205)

Limitations of Influence-Based Dataset Compression for Waste Classification

Data
Influence-based data selection methods, such as TracIn, aim to estimate the impact of individual training samples on model predictions and are increasingly used for dataset curation and reduction.
Julian Aberger, Lena Brensberger, Gerald Koinig, Benedikt Häcker, Jesús Pestana, Renato Sarc   +5 more
doaj   +1 more source

Solid Wastes Generation in Covenant University, Ota, Nigeria: Characterisation and Implication for Sustainable Waste Management [PDF]

, 2012
Adequate waste characterisation is a requirement for effective waste management and environmental benign waste disposal system. The objectives of this paper were to estimate the percentage of various components in characterised solid waste materials ...
Anwan, E. U., Okeniyi, J. O.
core  

kdr mutations and deltamethrin resistance in house flies in Abu Dhabi, UAE

Parasites & Vectors
Background The house fly, Musca domestica, is a significant carrier of diseases that can impact public health. Repeated use of pyrethroid insecticides may act as a selection pressure for mutations and amino acid substitutions in the house fly voltage ...
Mohamad Hamdan, Tamilarasan Kamalanathan, Asim Iqbal, Antony Raj Gnanaprakasam, Sabu Shajahan, Mohammad Hamad Alsadeq, Amgd sayed Ali, Mohammad Ali Al-Deeb   +7 more
doaj   +1 more source

The essential role of cement-based materials in a radioactive waste repository

npj Materials Sustainability
Cement-based materials are integral to radioactive waste repositories, providing versatile solutions for diverse disposal strategies. They are part of the multi-barrier system, and serve to immobilize waste materials, limit the release of radionuclides ...
Bin Ma, John L. Provis, Dengquan Wang, Georg Kosakowski   +3 more
doaj   +1 more source

Expansion of Mechanical Biological Residual Treatment Plant with Fermentation Stage for Press Water from Organic Fractions Involving a Screw Press

Recycling
A three-year optimization study was conducted at a mechanical biological treatment plant with the aim of enhancing organic fractions recovery from mechanically separated fine fractions (MSFF) of residual waste using a screw press.
Rzgar Bewani, Abdallah Nassour, Thomas Böning, Jan Sprafke, Michael Nelles   +4 more
doaj   +1 more source

Waste management in the stingless bee Melipona beecheii Bennett (Hymenoptera: Apidae) [PDF]

, 2014
Waste management is important in insect societies because waste can be hazardous to adults, brood and food stores. The general organization of waste management and the influence of task partitioning, division of labor and age polyethism on waste ...
Hart, Adam G, Medina-Medina, Luis A, Ratnieks, Francis L W   +2 more
core   +4 more sources

Black, Gold, and Green: Food Waste Management at Bryant University [PDF]

, 2015
The basis of this project is to examine the food waste management system at Bryant University, and to make feasible, sustainable, and cost-effective solutions for improving the system.
Tomasetti, Brooke
core   +1 more source

Effect of coupling primary sedimentation tank (PST) and microscreen (MS) to remove particulate organic carbon (POC): a study to mitigate energy demand in municipal wastewater treatment plants

Sustainable Environment Research, 2023
Particulate Chemical Oxygen Demand (COD) removal is one of the first and foremost steps in a wastewater treatment plant (WWTP). It is a highly essential step that supports subsequent biological steps to achieve discharge limits.
Behnam Askari Lasaki, Peter Maurer, Harald Schönberger   +2 more
doaj   +1 more source

Designing a Solid Waste Infrastructure Management Model for Integration into a National Infrastructure System-of Systems [PDF]

, 2015
Solid waste management is arguably one of the most important municipal services provided by government1. Given the rapid socio-economic changes that are projected to take place in the UK2 it is important that we plan our future waste management ...
Coello, J., Hall, J., Ives, C.M., Powrie, W., Stringfellow, A.M., Turner, D., Watson, G.V.R.   +6 more
core  

Machine Learning‐Enhanced Modeling of Calcium Carbonate Nucleation in Porous Media Under Counter‐Diffusion Conditions

Water Resources Research
A counter‐diffusion reactive transport experiment was conducted to study calcium carbonate (CaCO3) nucleation and growth in porous media, monitored in situ using synchrotron‐based techniques and modeled marrying the Classical and Non‐Classical Nucleation
Haonan Peng, Ashish Rajyaguru, Enzo Curti, Daniel Grolimund, Sergey V. Churakov, Nikolaos I. Prasianakis   +5 more
doaj   +1 more source