Bacillus cereus is an important cause of foodborne infectious disease and food poisoning. However, B. cereus has also been used as a probiotic in human medicine and livestock production, with low standards of safety assessment. In this study, we evaluated the safety of 15 commercial probiotic B. cereus preparations from China in terms of mislabeling, toxin production, and transferable antimicro...

Controlled pollination (CP) is an important tool for breeding programs to improve seed quality, as it rapidly generates desirable genotypes and maximizes genetic gains. However, few studies have evaluated the success rate of CP, especially in Larix gmelinii var. principis-rupprechtii Mayr. seed orchards. In this study, we estimated the rate of correct parentage in 257 CP progeny in an L. gmelin...

A low-effort data mining approach to labeling network event records in a WLAN is proposed. The problem being addressed is often observed in an AI and data mining strategy to network intrusion detection, i.e., need for a training dataset of network event records that are labeled as either normal or an intrusion type. Given the dynamic nature of intrusion detection, such a dataset is often very l...

Automated classification of earthquake damage in remotely-sensed imagery using machine learning techniques depends on training data, or data examples that are labeled correctly by a human expert as containing damage or not. Mislabeled training data are a major source of classifier error due to the use of imprecise digital labeling tools and crowdsourced volunteers who are not adequately trained...

This work describes the development of a real-time polymerase chain reaction (RT-PCR) system for the detection and identification of Atlantic cod (Gadus morhua). Among the advantages of this technique, it is worth highlighting that this is reliable in terms of specificity and sensitivity. The TaqMan real-time PCR is the simplest, fastest testing process and has the highest potential for automat...

The detection of species substitution has become an important topic within the food industry and there is a growing need for rapid, reliable, and reproducible tests to verify species in commercial fish and seafood products. Increases in international trade and global seafood consumption, along with fluctuations in the supply and demand of different fish and seafood species, have resulted in int...

Extracting range data through active optical triangulation requires robust stripe edge detection w. r. t. the emitted pattern. On the other hand, due to ambiguous subpattern in the projection caused by the limitations of the windowed uniqueness property, corresponding a pattern consisting of multiple stripes, in attempts to reduce the number of input images, often leads to mislabeling. Moreover...

Federated learning provides a communication-efficient and privacy-preserving training process by enabling statistical models with massive participants while keeping their data in local clients. However, standard federated techniques that naively minimize an average loss function are vulnerable to corruptions from outliers, systematic mislabeling, or even adversaries. In addition, it is often pr...

Background: Identifying the animal species origin in meat and meat products is important for preventing adulteration and protecting consumers in terms of health and religious convictions. Species-specific polymerase chain reaction (PCR) is known as a suitable method for identifying meat species. OBJECTIVES: This study aimed to use a species-specific PCR assay for the detection of mislabeling in...

Abstract Study question Which confounders (sperm quality, oocyte dysmorphism, culture time, images pre or post-ICSI, age) affect the ability of AI to predict blastulation based on images? Summary answer Sperm post-ICSI image should be controlled for when building algorithms images. What is known already Previous studies reporting use have: (i) not accounted affecting (i.e. sperm time), and (ii)...