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Tradition and Fermentation Science of prohok, an ethnic fermented fish product of Cambodia
Karen LeGrand,Buntong Borarin,Glenn M. Young 한국식품연구원 2020 Journal of Ethnic Foods Vol.7 No.-
Cambodian foods are increasingly consumed outside Southeast Asia, yet are the subject of remarkably few reports. The Khmer culture and culinary traditions of Cambodian people, both historical and contemporary, depend most heavily on the fermented fish product prohok ( ) as an essential ingredient in a wide variety of dishes. The aim of this report is to better understand the traditions, production methods, and uses of prohok as well as the retention of this essential flavoring and nutritional component of Khmer cuisine. The reported findings include how fish preservation developed to accommodate Cambodia's unique naturally occurring hydrological phenomena and has influenced the ethnic identity and social structure of Khmer people. Commercial and home production of prohok is observed to have socioeconomic and nutritional impact on people. The uses of prohok in main dishes, sauces, soups, and side dishes are explored. Furthermore, this report investigates and reviews the underlying microbiology and chemistry that takes place during traditional fermentations of fish to produce prohok. This foundational knowledge serves as a basis for additional scientific studies to further investigate prohok fermentations with the goal to better understand factors that contribute to the unique regional variation of aromas, textures, and flavors produced by traditional practitioners and beloved by Khmer people.
Courses Recommendation Algorithm Based On Performance Prediction In E-Learning
Koffi, Dagou Dangui Augustin Sylvain Legrand,Ouattara, Nouho,Mambe, Digrais Moise,Oumtanaga, Souleymane,ADJE, Assohoun International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.2
The effectiveness of recommendation systems depends on the performance of the algorithms with which these systems are designed. The quality of the algorithms themselves depends on the quality of the strategies with which they were designed. These strategies differ from author to author. Thus, designing a good recommendation system means implementing the good strategies. It's in this context that several research works have been proposed on various strategies applied to algorithms to meet the needs of recommendations. Researchers are trying indefinitely to address this objective of seeking the qualities of recommendation algorithms. In this paper, we propose a new algorithm for recommending learning items. Learner performance predictions and collaborative recommendation methods are used as strategies for this algorithm. The proposed performance prediction model is based on convolutional neural networks (CNN). The results of the performance predictions are used by the proposed recommendation algorithm. The results of the predictions obtained show the efficiency of Deep Learning compared to the k-nearest neighbor (k-NN) algorithm. The proposed recommendation algorithm improves the recommendations of the learners' learning items. This algorithm also has the particularity of dissuading learning items in the learner's profile that are deemed inadequate for his or her training.
Sobolewski, Cyril,Rhim, Jiyun,Legrand, Noé,mie,Muller, Florian,Cerella, Claudia,Mack, Fabienne,Chateauvieux, Sé,bastien,Kim, Jeoung-Gyun,Yoon, Ah-Young,Kim, Kyu-Won,Dicato, Mario,Diederich American Society for Pharmacology and Experimental 2015 The Journal of Pharmacology and Experimental Thera Vol.355 No.2
<P>Cyclooxygenase-2 (COX-2) is an essential regulator of cancer promotion and progression. Extensive efforts to target this enzyme have been developed to reduce growth of cancer cells for chemopreventive and therapeutic reasons. In this context, cyclooxygenase-2 inhibitors present interesting antitumor effects. However, inhibition of COX-2 by anti-COX-2 compounds such as celecoxib was recently associated with detrimental cardiovascular side effects limiting their clinical use. As many anticancer effects of celecoxib are COX-2 independent, analogs such as 2,5-dimethyl-celecoxib (DMC), which lacks COX-2-inhibitory activity, represent a promising alternative strategy. In this study, we investigated the effect of this molecule on growth of hematologic cancer cell lines (U937, Jurkat, Hel, Raji, and K562). We found that this molecule is able to reduce the growth and induces apoptosis more efficiently than celecoxib in all the leukemic cell lines tested. Cell death was associated with downregulation of Mcl-1 protein expression. We also found that DMC induces endoplasmic reticulum stress, which is associated with a decreased of GRP78 protein expression and an alteration of cell cycle progression at the G1/S transition in U937 cells. Accordingly, typical downregulation of c-Myc and cyclin D1 and an upregulation of p27 were observed. Interestingly, for shorter time points, an alteration of mitotic progression, associated with the downregulation of survivin protein expression was observed. Altogether, our data provide new evidence about the mode of action of this compound on hematologic malignancies.</P>
Manufacturing and characterization of tufted preform with complex shape
Gnaba, Imen,Wang, Peng,Legrand, Xavier,Soulat, Damien Techno-Press 2019 Advances in aircraft and spacecraft science Vol.6 No.2
An alternative to the multilayered preforming is to use structures reinforced through-the-thickness in order to manufacture thicker and more complex pieces. Stitching technology is developed to bind dry reinforcements together or to strengthen composites in thickness performance by inserting structural yarns. Tufting process represents the simplest one-sided sewing technology and it is specifically designed for dry preform/liquid composite molding process route. Currently, the tufting technology is getting more and more interest due to its simplest and efficient process where it involves the insertion of binder threads via a single needle through the fabric. This technique of reinforcement through-the-thickness requires only one access to the preform which makes it suitable for three-dimensional structures and complex shaped textile composites. This paper aims to improve the understanding of the mechanical performance of tufted structures. An experimental study was developed, which included tensile and bending behaviours of tufted and un-tufted preforms, in order to evaluate the effect of tufting on the mechanical performance of dry preforms. The influence of the process parameters (tufting density, loop length, tufting yarns${\ldots}$) on the mechanical performance ofthe final structure is also highlighted.
Toxicity of TiO2 nanoparticles on the NRK52E renal cell line
Xavier Valentini,Lara Absil,Guy Laurent,Alexandre Robbe,Sophie Laurent,Robert Muller,Alexandre Legrand,Denis Nonclercq 대한독성 유전단백체 학회 2017 Molecular & cellular toxicology Vol.13 No.4
Titanium dioxide nanoparticles are widely used in industry to produce a number of products (cosmetics, paints, foods). TiO2 nanoparticles form aggregates and their toxicity varies in function of their size. In this study, aggregate sizes were determined using dynamic light scattering (DLS). The stability of the suspension was evaluated by turbidimetry and the size by transmission electronic microscopy (TEM). In the present study the toxicity of TiO2 nanoparticles was evaluated in vitro on rat kidney proximal tubular cells(NRK-52E). Cells were exposed to TiO2 nanoparticles (20 μg/mL) for 24, 48, 72 and 96 hours. TiO2 nanoparticles induce the production of reactive oxygen species(ROS). The relative number of mitosis decreased, while an increase of apoptotic cells was noted. The number of S-phase cells evidenced by BrdU immunoreactivity in cultures was significantly reduced by the exposure to the nanoparticles. These results attest to the toxic effect of the TiO2 nanoparticles on NRK-52E cells.
Imad Derraz,Romain Bourcier,Marc Soudant,Sébastien Soize,Wagih Ben Hassen,Gabriella Hossu,Frederic Clarencon,Anne Laure Derelle,Marie Tisserand,Helene Raoult,Laurence Legrand,Serge Bracard,Catherine O 대한뇌졸중학회 2019 Journal of stroke Vol.21 No.1
Background and Purpose A long clot, defined by a low (0-6) clot burden score (CBS) assessed by T2*- MR sequence, is associated with worse clinical outcome after intravenous thrombolysis (IVT) for acute ischemic stroke than is a small clot (CBS, 7-10). The added benefit of mechanical thrombectomy (MT) might be higher in patients with long clot. The aim of this pre-specified post hoc analysis of the THRombectomie des Artères CErebrales (THRACE) trial was to assess the association between T2*- CBS, successful recanalization and clinical outcome. Methods Of 414 patients randomized in the THRACE trial, 281 patients were included in this analysis. Associations between T2*-CBS and clinical outcome on the modified Rankin Scale (mRS) at 3 months were tested. Results High T2*-CBS, i.e., small clot, was associated with a shift toward better outcome on the mRS; proportional odds ratio (POR) per point CBS was 1.19 (95% confidence interval [CI], 1.05 to 1.34) in the whole population, 1.34 (95% CI, 1.13 to 1.59) in IVT group, and 1.04 (95% CI, 0.87 to 1.23) in IVTMT group. After adjustment for baseline prognostic variables, the effect of the full scale T2*-CBS was not statistically significant in the whole population and for the IVTMT group but remains significant for the IVT group (POR, 1.32; 95% CI, 1.11 to 1.58). Conclusions A small clot, as assessed using T2*-CBS, is associated with improved outcome and may be used as a prognostic marker. Despite the worst outcome with long clot, the relative benefit of MT over IVT seemed to increase with low T2*-CBS and longer clot.