Results 71 to 80 of about 8,316 (226)

Improvement of Solar Dryers [PDF]

open access: yes, 2023
For thousands of years, people have dried fruits and vegetables in the sun to preserve them for the winter. New technologies have led to a change in methods, but now the growing demand for healthy, inexpensive natural foods and the need for sustainable ...
Mahmudova Mahliyo Ato qizi
core   +1 more source

Dismantling Gender‐Washing in Business Schools: A Nonbinary Perspective

open access: yesGender, Work &Organization, Volume 33, Issue 4, Page 1298-1309, July 2026.
ABSTRACT This paper explores the negotiations surrounding the identity of a nonbinary academic across multiple business schools. These institutions increasingly pledge their support for gender equality and prominently display queer, rainbow‐related discourses.
Alessandro Ghio
wiley   +1 more source

Development of energy efficient industrial dryers [PDF]

open access: yes, 1998
The report presents the work conducted to-date on the development of energy efficient dryers. It includes the computer simulation of Integrated Heat Pump System (IHPS) and experimental stduy of heat pump tumbler and vertical clothes ...
Nathan, Kamal G.   +3 more
core  

Modelling and Simulation of Crossflow Moving Bed Grain Dryers [PDF]

open access: yes, 1998
The drying of grain in dryers of a crossflow moving bed type was theoretically and experimentally studied. Two different dryer configurations were analyzed, a dryer with central air distribution and another with multiple air duels.
Tórrez, Norvin,   +3 more
core   +1 more source

Prediction of Electric Toothbrush Acoustic Comfort Using a Lightweight Dual‐Branch CNN With Psychoacoustic‐Spectral Cross‐Attention Fusion

open access: yesEngineering Reports, Volume 8, Issue 6, June 2026.
A lightweight dual‐branch neural network with cross‐attention fusion (LDCNN‐CF) integrates Mel‐spectrograms with psychoacoustic parameters to predict electric toothbrush acoustic comfort. The model achieves human‐like accuracy (MAE = 0.82, R2 = 0.84) with only 0.42 M parameters and identifies roughness as the dominant predictor of discomfort.
Yang Zhang
wiley   +1 more source

Toxicological Evaluation of the Undesirable Components in Processed Infant Foods Using Artificial Intelligence

open access: yesFuture Postharvest and Food, Volume 3, Issue 2, Page 185-205, June 2026.
The detection of toxins in baby food using artificial intelligence. ABSTRACT Infant foods and baby formulas are becoming increasingly popular across the globe owing to their ease of consumption and nutritional value specific to infants. Impurities may find their way into the food chain at any point from the acquisition of raw materials to final ...
Poornima Singh   +3 more
wiley   +1 more source

Electric Hand Dryers as a Source of Bacterial Contamination [PDF]

open access: yes, 2006
The most effective way to prevent disease is through hand washing, which includes the following four steps: using warm water, using soap and friction, rinsing and finally drying.
McLennan, Kimberly   +1 more
core   +1 more source

Applications of phase-change materials in solar drying technology: A review

open access: yesSolar Compass
Solar drying offers a sustainable alternative to conventional drying methods by utilizing renewable energy in a controlled and efficient manner. Integrating phase-change materials (PCMs) into solar dryers enables efficient thermal energy storage ...
Deshini Ranasingha   +2 more
doaj   +1 more source

Electric clothes dryers: An underestimated source of microfiber pollution.

open access: yesPLoS ONE, 2020
Microplastics, particularly microfibers, are ubiquitous, found in aquatic (freshwater and marine) and terrestrial environments and within the food web worldwide.
Kirsten J Kapp, Rachael Z Miller
doaj   +1 more source

Advancing Canning Quality in Common Beans: An Integrated Farm‐to‐Can Framework Combining Breeding, Processing, and Artificial Intelligence

open access: yesLegume Science, Volume 8, Issue 2, June 2026.
ABSTRACT Common beans (Phaseolus vulgaris L.) are essential raw material for the canning industry. This article reviews recent advances in assessing canning quality and the integration of artificial intelligence (AI) into breeding methodologies aimed at developing genotypes with superior yield and canning‐quality traits.
Arash Ghaitaranpour   +2 more
wiley   +1 more source

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