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Nonparametric Logit Modeling for Electromembrane Extraction
AbstractIn this paper, a novel modeling based on nonparametric logit was developed for optimization of the electromembrane extraction of gold from...
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Ignition ability prediction model of biomass fuel by arc beads using logistic regression
Wildland–urban interface fires are a severe fire hazard due to biomass ignition caused by arc beads. This study investigated how the energy,...
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Determinants of urban household vulnerability to food insecurity in southern Ethiopia
Food insecurity is a global problem in both urban and rural areas. However, urban food security in Ethiopia has received little attention. Therefore,...
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Food Security: The impact of migrants and remittances in Sri Lanka
The objective of this paper is to show that migrants and the subsequent remittances influence household food consumption in different ways. This...
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Determinants of adoption of small-scale irrigation practices as adaptation strategies to climate change stresses in Kersa District, Eastern Oromia, Ethiopia
This study was conducted to assess the factors influencing farmers’ decisions to adopt small-scale irrigation practices as an adaptation strategy to...
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Growth/No-Growth Microbial Models in Food Science
Logistic regression models quantify the occurrence of microbial development in a real scenario from production and commercialization to consumption...
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Tuning gradient boosting for imbalanced bioassay modelling with custom loss functions
While in the last years there has been a dramatic increase in the number of available bioassay datasets, many of them suffer from extremely...
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De novo drug design as GPT language modeling: large chemistry models with supervised and reinforcement learning
In recent years, generative machine learning algorithms have been successful in designing innovative drug-like molecules. SMILES is a sequence-like...
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SwinOCSR: end-to-end optical chemical structure recognition using a Swin Transformer
Optical chemical structure recognition from scientific publications is essential for rediscovering a chemical structure. It is an extremely...
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Read-Across and Quantitative Structure–Activity Relationships (QSAR) for Making Predictions and Data Gap-Filling
Read-across is originally a non-statistical grou** approach for data gap filling. The grou** of chemicals may be done based on similarities in...
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The application of fluorescence spectroscopy and machine learning as non-destructive approach to distinguish two different varieties of greenhouse tomatoes
The application of interdisciplinary non-invasive diagnostic methods combining fluorescence spectroscopy with multiple machine learning algorithms as...
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Olive branches activated carbon: synthesis, phenol adsorption and modeling
The present study investigated both the feasibility of activated carbon (AC) production from olive tree branches and its application as an adsorbent...
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Prenatal exposure to famine and the development of diabetes later in life: an age-period-cohort analysis of the China health and nutrition survey (CHNS) from 1997 to 2015
PurposePrenatal exposure to famine has been linked to increased diabetes risk in adulthood. However, one fundamental issue to be addressed is that...
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PINNED: identifying characteristics of druggable human proteins using an interpretable neural network
The identification of human proteins that are amenable to pharmacologic modulation without significant off-target effects remains an important...
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A global systematic review and meta-analysis on prevalence of the aflatoxin B1 contamination in olive oil
Olive oil can be contaminated by fungal toxins; therefore, it is necessary to monitor the incidence of mycotoxins in this oil. In the present study,...
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In silico prediction of UGT-mediated metabolism in drug-like molecules via graph neural network
UDP-glucuronosyltransferases (UGTs) have gained increasing attention as they play important roles in the phase II metabolism of drugs. Due to the...
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Analyzing Milk Foam Using Machine Learning for Diverse Applications
In the beverages industry, milk foaming is done to enhance the flavor, texture, and visual appeal of milk-based beverages. It is very crucial to...
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Consumer Choice Probabilities for Food Packaging
Packaging is of extreme importance as it represents the very first contact among consumers and food or beverage. Packaging therefore plays a silent...
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Algorithms for and Challenges in the Analysis of Markers in Personalized Health Care
Nowadays, the various omics disciplines such as genomics, proteomics, metabolomics, metagenomics, and transcriptomics generate a plethora of data. At...
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Is harmonisation of performance assessment in non-quantitative proficiency testing possible/necessary?
The importance of laboratory performance evaluation in qualitative and interpretative proficiency testing (PT) and external quality assessments (EQA)...
