A5046477558- Identification and Quantification in Food
- Food Safety and Hygiene
- Aortic aneurysm repair treatments
- Aortic Disease and Treatment Approaches
- Risk and Safety Analysis
- Chemical Safety and Risk Management
- Forensic and Genetic Research
- Food Supply Chain Traceability
- Food Waste Reduction and Sustainability
- Dietary Effects on Health
- Bacillus and Francisella bacterial research
- Innovative Human-Technology Interaction
- Advanced Aircraft Design and Technologies
- Connective tissue disorders research
- Agricultural Economics and Policy
- Agriculture Sustainability and Environmental Impact
- Climate Change and Health Impacts
- Animal Disease Management and Epidemiology
- Supply Chain Resilience and Risk Management
- Spectroscopy and Chemometric Analyses
- Infectious Aortic and Vascular Conditions
- Salmonella and Campylobacter epidemiology
- Circadian rhythm and melatonin
- Environmental Education and Sustainability
- Digital Media Forensic Detection
University of Michigan
2023-2025
Wageningen University & Research
2019-2024
Ann Arbor VA Medical Center
2023
Abstract To enhance the resilience of food systems to safety risks, it is vitally important for national authorities and international organizations be able identify emerging risks provide early warning signals in a timely manner. This review provides an overview existing experimental applications artificial intelligence (AI), big data, internet things as part risk identification tools methods domain. There ongoing rapid development fed by numerous, real‐time, diverse data with aim risks....
Global food supply chains have been constantly challenged by various safety incidents or crisis. Traditional approaches on enhancing robustness of the chain are not sufficient to ensure a safe society, while building resilience as more comprehensive approach has shown be good alternative option. With thinking, is targeting achieve state zero risks, but rather pursue capacity adapt and manage shocks. A resilient can still vulnerable under constant pressure hazards changing environment,...
Food fraud is a serious problem that may compromise the safety of food products being sold on market. Previous studies have shown associated with large variety and type vary from deliberate changing product (i.e. substitution, tampering, dilution etc.) to manipulation documents. It therefore important all actors within supply chain (food producers, authorities), methodologies tools available detect fraudulent at an early stage so preventative measures can be taken. Several such systems exist...
Abdominal aortic aneurysm (AAA) is usually asymptomatic until life-threatening complications occur, predominantly involving rupture. Currently, no drug-based treatments are available, primarily due to limited understanding of AAA pathogenesis. Transcriptional regulator PR domain-containing protein 16 (PRDM16) highly expressed in the aorta, but its functions aorta largely unknown. By RNA-seq analysis, we found that VSMCs-specific Prdm16 knockout mice (Prdm16SMKO) already showed extensive...
Abstract Ensuring safe and healthy food is a big challenge due to the complexity of supply chains their vulnerability many internal external factors, including fraud. Recent research has shown that Artificial Intelligence (AI) based algorithms, in particularly data driven Bayesian Network (BN) models, are very suitable as tool predict future fraud hence allowing producers take proper actions avoid such problems occur. Such models become even more powerful when can be used from all actors...
BACKGROUND: Abdominal aortic aneurysm (AAA) is a complex vascular pathology without pharmaceutical interventions. This study aimed to evaluate whether restoring smooth muscle cell (VSMC) mitochondrial function could prevent AAA development. METHODS: Ang II (angiotensin II)–induced was established in Ldlr -deficient mice, and the gene expression profiles abdominal tissues exhibiting varying degrees of severity were analyzed. Synthetic high-density lipoprotein (sHDL) formulated with Apoa1...
Mobile applications (apps) have become popular among consumers to facilitate their existing food practices like cooking, shopping, and dining out. However, the feasibility of using mobile apps sustainability transitions in consumption is not well researched. In this study, we, therefore, propose a conceptual framework illustrate how can be developed linking everyday with transitions. Through case study out help focus group discussions, we seek that practice theory might serve as useful...
Recognizing the vulnerabilities that arise in spices' supply chain for food fraud, determining which products and fraud types to assess is crucial ensuring quality safety. In this study, we developed a data driven vulnerability assessment approach based on Bayesian Network (BN) Failure Modes Effects Analysis (FMEA) predict level entering Europe including potential adulterants each step chain. The BN model was using dataset spice-related cases reported European Union (EU) Rapid Alert System...
Disruptions of blood pressure (BP) circadian variation are closely associated with an increased risk cardiovascular disease (CVD). Thus, gaining insights into the molecular mechanisms BP is essential for comprehending regulation. Human genetic analyses suggest that PR domain-containing protein 16 (PRDM16), a transcription factor highly expressed in vascular smooth muscle cells (VSMC), significantly BP-related traits. However, roles PRDM16 regulation largely unknown. Here, we demonstrate...
Abstract Salmonella spp. control in pork supply chains has always been a challenging issue and insufficient can lead to high social economic consequences. Conventional risk management approaches models are not sufficient address potential food safety shocks caused by spp., as they mainly focus on assessing measures reduce risks instead of developing the resilience capability (e.g., flexibility adapt sudden changes risks). Our study is first that incorporated concept quantitative modeling...
The number of scientific articles published in the domain food safety has consistently been increasing over last few decades. It therefore become unfeasible for experts to read all relevant literature related and occurrence hazards chain. However, it is important that are aware newest findings can access this information an easy concise way. In study, approach presented automate extraction chemical from through large language models. model was used out-of-the-box applied on abstracts; no...
Abstract Ensuring safe and healthy food is a big challenge due to the complexity of supply chains their vulnerability many internal external factors. Recent research has shown that Artificial Intelligence (AI) based algorithms, in particularly data driven Bayesian Network (BN) models, are very suitable as tool predict future safety risks hence allowing producers take proper actions avoid problems occur. Such models become even more powerful when can be used from all actors chain (e.g.,...
Abdominal aortic aneurysm (AAA) is usually asymptomatic until severe complications with high risk of lethality occur, predominantly involving rupture. Currently, no drug-based treatments are available, primarily due to limited understanding AAA pathogenesis. PR domain-containing protein 16 (PRDM16) a transcriptional regulator that governs gene expression by cooperating other transcription factors. It highly expressed in the aorta, but its functions tissue and pathology largely unknown. In...