Results 91 to 100 of about 35,499 (236)

AI‐Enabled Imaging for Pathogen Detection Under Stress Conditions: A Systematic Review

open access: yesComprehensive Reviews in Food Science and Food Safety, Volume 25, Issue 3, May 2026.
ABSTRACT Advances in pathogen detection that incorporate artificial intelligence (AI) may capture microbial signals under challenging environmental conditions that traditional methods miss. This systematic review evaluates the application, performance, and methodological characteristics of AI‐enabled imaging for pathogen detection, including its impact
MeiLi Papa   +3 more
wiley   +1 more source

Enzymatic synthesis of bioactive quinolones and (thio)coumarins by fungal type III polyketide synthases

open access: yesThe FEBS Journal, Volume 293, Issue 9, Page 2673-2691, May 2026.
Quinolones are valuable scaffolds for drug discovery but are rare in nature. Here, we show that two fungal enzymes, AthePKS and FerePKS, can generate 2‐quinolones and two additional heteroaromatic scaffolds. Using AthePKS, we designed an artificial enzymatic cascade towards an antimicrobial quinolone from a simple precursor and implemented it in E ...
Nika Sokolova   +5 more
wiley   +1 more source

Snake Venom Protease Detection and Inhibition in Serum

open access: yesChemMedChem, Volume 21, Issue 7, 14 April 2026.
A fluorescence assay enables sensitive detection of the activities of snake venom metalloproteases (SVMP) and serine proteases (SVSP) from viper venoms in buffer and serum. In combination with effective low‐molecular‐weight inhibitors such as ilomastat and nafamostat, this approach offers new prospects for the rapid diagnosis and adjunctive therapy of ...
Mareike Riedel, Christian Kersten
wiley   +1 more source

From the Past into the Future. How Technological Developments Change Our Ways of Data Collection, Transcription and Analysis

open access: yesForum: Qualitative Social Research, 2010
In the last fifty years, recording devices have taken a central position on stage in the empirical social sciences during data collection (tape and voice recorders, photo and video cameras). As Qualitative Data Analysis software (QDA software) enables us
Jeanine C. Evers
doaj  

Leaf macro- and micromorphological traits and phenotypic diversity of Quercus petraea subspecies in Eastern Romania

open access: yesNotulae Botanicae Horti Agrobotanici Cluj-Napoca
Sessile oak (Quercus petraea) is a polytypic species comprising three subspecies (Q. petraea subsp. petraea – Qpe, Q. petraea subsp. dalechampii – Qda, and Q. petraea subsp.
Ioana M. GAFENCO (PLEȘCA)   +5 more
doaj   +1 more source

The Attempt to Use the Computer Program QDA Miner in the Research Project „Cztery dyskursy o nowoczesności – modernizm peryferii na przykładzie Łodzi (XIX–XX wiek)” [PDF]

open access: yesPrzeglad Socjologii Jakosciowej, 2014
The goal of the article is to present the main theoretical and methodological approach of the research project „Cztery dyskursy o nowoczesności – modernizm peryferii na przykładzie Łodzi (XIX–XX wiek)” and to put across the potential support of one of ...
Jacek Burski, Kamil Brzeziński
doaj  

Multitoxin analysis of trichothecenes, including NX toxins, in rice and wheat

open access: yesApplied Food Research
Fusarium species biosynthesize trichothecenes that contaminate food and poses health risks. Among these, NX toxins produced by F. graminearum and F. culmorum, are structurally similar to deoxynivalenol (DON).
Vito D’Ascanio   +6 more
doaj   +1 more source

1H NMR- based metabolomics approaches as non- invasive tools for diagnosis of endometriosis

open access: yesIranian Journal of Reproductive Medicine, 2016
Background: So far, non-invasive diagnostic approaches such as ultrasound, magnetic resonance imaging, or blood tests do not have sufficient diagnostic power for endometriosis disease.
Negar Ghazi   +5 more
doaj  

Variable selection for discrimination of more than two classes where data are sparse [PDF]

open access: yes
In classification, with an increasing number of variables, the required number of observations grows drastically. In this paper we present an approach to put into effect the maximal possible variable selection, by splitting a K class classification ...
Szepannek, Gero, Weihs, Claus
core  

Liver cirrhosis prediction: The employment of the machine learning-based approaches

open access: yesIntelligent Systems with Applications
Early detection of liver cirrhosis remains problematic due to its asymptomatic onset and the inherent class imbalance in clinical data. This study conducts a comprehensive evaluation of machine learning models for predicting cirrhosis stages, with a ...
Genjuan Ma, Yan Li
doaj   +1 more source

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