Aim: Alveolar bone resorption, often occurring after tooth extraction, can be minimized through socket preservation. This process uses a combination of leaf extract and demineralized freeze-dried bovine bone xenograft (DFDBBX) that is expected to generate both transforming growth factor-beta 1 (TGF-β1) expressions as a transcription factor associated with osteoblast differentiation and osteocalcin accelerating alveolar bone formation. This research aimed to analyze the role of the combination of leaf extract and DFDBBX induced in socket preservation when generating TGF-β1 and osteocalcin expressions.
Materials And Methods: The left mandibular incisors of 56 were extracted and divided into four groups subjected to different socket preservation treatments. The first group treated with polyethylene glycol, the second group with DFDBBX, the third group with leaf extract, and the fourth group with a combination of DFDBBX and leaf extract. The were examined on days 7 and 30, after which the specimens were sacrificed and examined using an immunohistochemical technique. The resulting data were then analyzed using one-way ANOVA and Tukey's honestly significant difference tests.
Results: There was a significant difference in TGF-β1 and osteocalcin expressions between the groups ( < 0.05). The highest mean amount of TGF-β1 and osteocalcin was found in the fourth group on both days 7 and 30.
Conclusions: The combination of leaf extract and DFDBBX can effectively generate TGF-β1 and osteocalcin expressions during the preservation of tooth extraction sockets.
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http://dx.doi.org/10.4103/jips.jips_251_18 | DOI Listing |
Front Plant Sci
January 2025
College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang, Henan, China.
The precise determination of tobacco leaf maturity is pivotal for safeguarding the taste and quality of tobacco products, augmenting the financial gains of tobacco growers, and propelling the industry's sustainable progression. This research addresses the inherent subjectivity and variability in conventional maturity evaluation techniques reliant on human expertise by introducing an innovative YOLOv10-based method for tobacco leaf maturity detection. This technique facilitates a rapid and non-invasive assessment of leaf maturity, significantly elevating the accuracy and efficiency of tobacco leaf quality evaluation.
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June 2025
Department of Computer Science, School of Computing, Amrita Vishwa Vidyapeetham, Mysuru, India.
Real-time plant species detection plays an important role in fields ranging from medicine to biodiversity conservation. Images captured under unconstrained environments, scale variations, different lighting conditions, leaf orientation, complicated backdrops, and leaflet structure make plant species recognition rigorous and time-consuming. Our study addresses this challenge by introducing three pioneering hybrid models, seamlessly integrating the strengths of convolution neural networks.
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September 2024
UNAM-UABJO, Faculty of Medicine Research Center, Faculty of Medicine and Surgery, Autonomous University Benito Juarez of Oaxaca, Oaxaca, Mexico.
Background: Breast cancer is the most common cancer among women worldwide, impacting not only the patients but also their families and communities. vent. is a plant endemic to Mexico, traditionally used in Zapotec medicine for the treatment of cancer.
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May 2024
Department of Basic Medical Sciences, College of Medicine, University of Sulaimani, Sulaymaniyah, Republic of Iraq.
Background: species are commonly used as spices, flavorings, and food additives. Members of the genus offer many medicinal benefits but may also pose adverse effects on human health.
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Food Chem X
January 2025
Plant Breeding, Wageningen University, Droevendaalsesteeg 1, 6708, PB, Wageningen, the Netherlands.
The ambition to utilize agricultural by-products has spotlighted tomato leaves as a promising source for plant-based proteins. High-yielding protein extractability is key for its industrial use, but previous studies reported decreased protein extractability at later stages of plant development. This study investigated the underlying factors in protein extractability through a comprehensive proteomics analysis across four plant developmental stages (vegetative, flowering, fruit-forming, mature-fruit).
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