Results 41 to 50 of about 50,467 (281)

Possible Alternatives: Identifying and Quantifying Adulteration in Buffalo, Goat, and Camel Milk Using Mid-Infrared Spectroscopy Combined with Modern Statistical Machine Learning Methods

Foods, 2023
Adulteration of higher priced milks with cheaper ones to obtain extra profit can adversely affect consumer health and the market. In this study, pure buffalo milk (BM), goat milk (GM), camel milk (CM), and their mixtures with 5–50% (vol/vol) cow milk or ...
Chu Chu, Haitong Wang, Xuelu Luo, Peipei Wen, Liangkang Nan, Chao Du, Yikai Fan, Dengying Gao, Dongwei Wang, Zhuo Yang, Guochang Yang, Li Liu, Yongqing Li, Bo Hu, Zunongjiang Abula, Shujun Zhang   +15 more
doaj   +1 more source

Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning [PDF]

, 2016
Most successful information extraction systems operate with access to a large collection of documents. In this work, we explore the task of acquiring and incorporating external evidence to improve extraction accuracy in domains where the amount of ...
Barzilay, Regina, Narasimhan, Karthik, Yala, Adam   +2 more
core   +2 more sources

Compositional Characterization, Quality Parameters, and Physicochemical and Bioactive Properties of Pequi (Caryocar brasiliense) Oils From Xingu and Cerrado in Mato Grosso, Brazil

Journal of the American Oil Chemists' Society, EarlyView.
Cerrado oil is richer in MUFA and antioxidant compounds, while Xingu oil shows higher SFA and enhanced oxidative stability, reinforcing the potential of pequi oil as a sustainable bioactive ingredient. ABSTRACT Pequi (Caryocar brasiliense) is a native fruit widely distributed in Brazilian biomes, specially in Cerrado, known for its high oil yield and ...
Dhayna O. Sobral, Patrícia T. Souza, Gabriel S. L. Pereira, Sara Fraga, Maria E. O. Carvalho, Antonio J. A. Meirelles, Eduardo A. C. Batista, Klicia A. Sampaio, Guilherme J. Maximo   +8 more
wiley   +1 more source

A robust approach to model-based classification based on trimming and constraints

, 2019
In a standard classification framework a set of trustworthy learning data are employed to build a decision rule, with the final aim of classifying unlabelled units belonging to the test set.
Cappozzo, Andrea, Greselin, Francesca, Murphy, Thomas Brendan   +2 more
core   +1 more source

Chronoprints: Identifying Samples by Visualizing How They Change over Space and Time. [PDF]

, 2019
The modern tools of chemistry excel at identifying a sample, but the cost, size, complexity, and power consumption of these instruments often preclude their use in resource-limited settings.
Brisk, Philip, Duong, Eric, Grover, William H, McKenzie, Brittney A, Robles-Najar, Jessica   +4 more
core   +3 more sources

Measuring Consumer Aversion Toward AI in Marketing Communication and Assessing Its Relationship to Brand Perceptions and Purchase Intention

Journal of Consumer Behaviour, EarlyView.
ABSTRACT Some consumers exhibit aversion toward artificial intelligence (AI), particularly when it is embedded in persuasive marketing communication (MarCom). Here, we developed and validated a measure of consumer aversion to AI in MarCom and examined its downstream consequences for brand perceptions and purchase intention.
Louvins Pierre, Viviana Carolina Zambrano Rodriguez, Jiayi (Joy) Wang   +2 more
wiley   +1 more source

Impact of Different Adulterants on Honey Quality Properties and Evaluating Different Analytical Approaches for Adulteration Detection

Journal of Food Protection
The study was carried out keeping in view the recently emerging concern of adulteration of natural honey on the honey markets. This study intended to investigate honey adulteration detection using physical and chemical composition to achieve a foreign ...
Teferi Damto, Ashagrie Zewdu, Tarekegn Birhanu   +2 more
doaj   +1 more source

Rapid detection of adulteration in red dates (Ziziphus jujuba mill.) powder by Fourier-transform infrared spectroscopy combined with chemometrics analysis [PDF]

BIO Web of Conferences
Food adulteration presents a major challenge in the food industry, impacting product quality and consumer trust. This study investigates the use of Fourier Transform Infrared (FTIR) spectroscopy combined with chemometric methods, Principal Component ...
Crystal Tai Wern Chze, Loh Khye Er, Djalil Asmiyenti Djaliasrin, Sri Rahayu Wiranti, Ong Ghim Hock   +4 more
doaj   +1 more source

Identification of Milk Adulteration in Camel Milk Using FT-Mid-Infrared Spectroscopy and Machine Learning Models

Foods, 2023
Camel milk, esteemed for its high nutritional value, has long been a subject of interest. However, the adulteration of camel milk with cow milk poses a significant threat to food quality and safety.
Zhiqiu Yao, Xinxin Zhang, Pei Nie, Haimiao Lv, Ying Yang, Wenna Zou, Liguo Yang   +6 more
doaj   +1 more source

Positive Doping Test Linked to Crumb Rubber From Artificial Football Pitch: Case Report

Drug Testing and Analysis, EarlyView.
1,3‐DMBA was detected in urine samples of eight athletes following a doping control, resulting in one AAF and levels below WADA's MRL in seven teammates. Investigation revealed contamination from rubber infill used on the indoor artificial turf, with analysis confirming 1,3‐DMBA in the turf's crumb rubber originating from recycled tires.
Astrid Gjelstad, Geir Holden, Per Ole M. Gundersen, Yvette Dehnes, Magnus Tvedte, Maren Levernæs, Åse Kjustad Eriksson, Fredrik Lauritzen   +7 more
wiley   +1 more source