Defining the caprine γδ T cell WC1 multigenic array and evaluation of its expressed sequences and gene structure conservation among goat breeds and relative to cattle

Yirsaw, Alehegne; Gillespie, Alexandra; Zhang, Fengqiu; Smith, Timothy P. L.; Bickhart, Derek M.; Gunasekaran, Karthick P.; Amir, Maria; Park, Haeree; Telfer, Janice C.; Baldwin, Cynthia L.

doi:10.1007/s00251-022-01254-9

Cited by 6 publications

(4 citation statements)

References 61 publications

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“…[70,60] Butyl-(10E, 12E)-9-hydroxyoctadeca-10,12-dienoate, a fatty acid ester from N. glandulifera was also reported by Liu et al to inhibit PTP1B activity with an IC 50 value of 7.38 0.14 μM. [71,72] Nigellaquinomine and Nigelladines AÀ C are some alkaloids of N. glandulifera, that prompted glucose consumption, inhibited PTP1B expression, and glycogen synthesis in hyperglycemia. Chen et al reported the inhibition of PTP1B activity and glycogen synthesis in hyperglycemia, by these compounds, with IC 50 values of 6.34 � 0.25 μM, 9.87 � 0.27, 9.61 � 1.04, 16.75 � 0.12, respectively.…”

Section: Anti-diabetic Activitymentioning

confidence: 80%

“…Butyl‐(10 E , 12 E )‐9‐hydroxyoctadeca‐10,12‐dienoate, a fatty acid ester from N. glandulifera was also reported by Liu et al . to inhibit PTP1B activity with an IC 50 value of 7.38 0.14 μM [71,72] . Nigellaquinomine and Nigelladines A−C are some alkaloids of N. glandulifera , that prompted glucose consumption, inhibited PTP1B expression, and glycogen synthesis in hyperglycemia.…”

Section: Bioactivities Of Some Nigella Sppmentioning

confidence: 99%

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Structural Diversity, Spectral Data, and Pharmacological Effects of Genus Nigella

Luan Nguyen,

Anam,

Hofdey Megbes

et al. 2023

Chemistry & Biodiversity

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Nigella is one of the most studied plants because of its pharmacological properties like anti-parasitic, anti-inflammatory, neuro-protective, hepatoprotective, and anti-cancerous. In this study, about 20 species of the genus Nigella were reviewed and among them, N. damascene, N. glandulifera, and N. sativa are widely studied for their phytochemical and pharmacological effects. This review describes the phytochemical composition of the genus Nigella, which constitutes many of the compounds including alkaloids, flavonoids, saponins, and terpenoids. The extracts produced by using different solvents and the isolated compounds displayed a wide range of biological activity. These compounds were identified by different spectral techniques. The spectral detail of some advanced techniques including EIS-MS, UV/VIS, IR, 13 C-NMR, and 1 H-NMR of some important phytoconstituents of Nigella spp. has been compiled for the first time in this review which will be helpful to explore and further investigate the chemical composition of this genus.

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Section: Anti-diabetic Activitymentioning

confidence: 80%

Section: Bioactivities Of Some Nigella Sppmentioning

confidence: 99%

Structural Diversity, Spectral Data, and Pharmacological Effects of Genus Nigella

Luan Nguyen,

Anam,

Hofdey Megbes

et al. 2023

Chemistry & Biodiversity

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“…Furthermore, VCC cars are unreliable since they enter a shared resource pool for a brief time before leaving. [6] One car never has a neighbor who remains for a long time, and each vehicle has a neighbor who frequently changes, which makes it difficult to build confidence. The resources that offer computational services to other resources may also be used by possible malicious vehicles due to VCC.…”

Section: Vcc Security Assessmentmentioning

confidence: 99%

Security Challenges of Vehicular Cloud Computing

Thakker

2024

JAIGS

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In the realm of Industry 4.0, the utilization of artificial intelligence (AI) and machine learning for anomaly detection faces challenges due to significant computational demands and associated environmental consequences. This study aims to tackle the need for high-performance machine learning models while promoting environmental sustainability, contributing to the emerging concept of 'Green AI.' We meticulously assessed a wide range of machine learning algorithms, combined with various Multilayer Perceptron (MLP) configurations. Our evaluation encompassed a comprehensive set of performance metrics, including Accuracy, Area Under the Curve (AUC), Recall, Precision, F1 Score, Kappa Statistic, Matthews Correlation Coefficient (MCC), and F1 Macro. Concurrently, we evaluated the environmental footprint of these models by considering factors such as time duration, CO2 emissions, and energy consumption during training, cross-validation, and inference phases. While traditional machine learning algorithms like Decision Trees and Random Forests exhibited robust efficiency and performance, optimized MLP configurations yielded superior results, albeit with a proportional increase in resource consumption. To address the trade-offs between model performance and environmental impact, we employed a multi-objective optimization approach based on Pareto optimality principles. The insights gleaned emphasize the importance of striking a balance between model performance, complexity, and environmental considerations, offering valuable guidance for future endeavors in developing environmentally conscious machine learning models for industrial applications.

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“…Surgeons and other healthcare professionals can use this information to establish preventative treatments, improve perioperative care pathways, and lessen the overall strain on healthcare systems. Orthopedic surgery can benefit from the development of personalised medicine thanks to AI [33]. AI algorithms can offer customized therapy recommendations and improve patient care methods by incorporating patient-specific data, such as genetic profiles, biomarkers, and clinical factors.…”

Section: Ai-enabled Resource Allocationmentioning

confidence: 99%

Evaluating the Potential of Artificial Intelligence in Orthopedic Surgery for Value-based Healthcare

Tariq

Gill

Hussain

2023

ijmdsa

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The potential of artificial intelligence (AI) to transform value-based healthcare in the area of orthopedic surgery is examined in this research. Orthopedic surgeons and healthcare systems may improve patient outcomes, increase efficiency, and alter care delivery by combining AI algorithms, cutting-edge data analytics, and novel technology. Through case studies and success stories, the article provides a thorough study of the advantages and prospects provided by AI in orthopedic surgery. These instances demonstrate how AI has been successfully applied to several facets of orthopedic surgery, including as diagnosis, planning of the surgical course, surgical navigation, postoperative care, and resource allocation. The ethical and legal ramifications of using AI are also discussed in the study, with a focus on patient autonomy, privacy, accountability, and any potential effects on the healthcare workforce. The potential applications of AI in orthopedic surgery are examined, together with developments in preoperative planning, surgical robotics, remote monitoring, predictive analytics, personalised medicine, research, and innovation. The promise of AI in orthopedic surgery is obvious, despite issues with data quality, privacy, algorithm biases, and legal constraints. The ethical and appropriate application of AI technology in orthopedic surgery has the potential to significantly enhance patient outcomes, lower complications, boost efficiency, and change the way healthcare is provided. This study lays the groundwork for future study and application in the field of orthopedic surgery by offering insightful information on the role of AI in delivering value-based healthcare.

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Defining the caprine γδ T cell WC1 multigenic array and evaluation of its expressed sequences and gene structure conservation among goat breeds and relative to cattle

Cited by 6 publications

References 61 publications

Structural Diversity, Spectral Data, and Pharmacological Effects of Genus Nigella

Structural Diversity, Spectral Data, and Pharmacological Effects of Genus Nigella

Security Challenges of Vehicular Cloud Computing

Evaluating the Potential of Artificial Intelligence in Orthopedic Surgery for Value-based Healthcare

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