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  1. Article ; Online: Correction

    Minilu Dejene / Hemalatha Palanivel / Heeravathi Senthamarai / Venkatramanan Varadharajan / S. Venkatesa Prabhu / Alazar Yeshitila / Solomon Benor / Shipra Shah

    Applied Biological Chemistry, Vol 66, Iss 1, Pp 1-

    Optimisation of culture conditions for gesho (Rhamnus prinoides.L) callus differentiation using Artificial Neural Network-Genetic Algorithm (ANN-GA) Techniques

    2023  Volume 1

    Keywords Agriculture (General) ; S1-972 ; Chemistry ; QD1-999
    Language English
    Publishing date 2023-10-01T00:00:00Z
    Publisher SpringerOpen
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Optimisation of culture conditions for gesho (Rhamnus prinoides.L) callus differentiation using Artificial Neural Network-Genetic Algorithm (ANN-GA) Techniques

    Minilu Dejene / Hemalatha Palanivel / Heeravathi Senthamarai / Venkatramanan Varadharajan / S. Venkatesa Prabhu / Alazar Yeshitila / Solomon Benor / Shipra Shah

    Applied Biological Chemistry, Vol 66, Iss 1, Pp 1-

    2023  Volume 14

    Abstract: Abstract Gesho (Rhamnus prinoides) is a medicinal plant with antioxidant and anti-inflammatory activities commonly used in the ethnomedicinal systems of Africa. Using a three-layer neural network, four culture conditions viz., concentration of agar, ... ...

    Abstract Abstract Gesho (Rhamnus prinoides) is a medicinal plant with antioxidant and anti-inflammatory activities commonly used in the ethnomedicinal systems of Africa. Using a three-layer neural network, four culture conditions viz., concentration of agar, duration of light exposure, temperature of culture, and relative humidity were used to calculate the callus differentiation rate of gesho. With the ability to quickly identify optimal solutions using high-speed computers, synthetic neural networks have emerged as a rapid, reliable, and accurate fitting technique. They also have the self-directed learning capability that is essential for accurate prediction. The network's final architecture for four selected variables and its performance has been confirmed with high correlation coefficient (R2, 0.9984) between the predicted and actual outputs and the root-mean-square error of 0.0249, were developed after ten-fold cross validation as the training function. In vitro research had been conducted using the genetic algorithm’s suggestions for the optimal culture conditions. The outcomes demonstrated that the actual gesho differentiation rate was 93.87%, which was just 1.86% lesser than the genetic algorithm's predicted value. The projected induced differentiation rate was 87.62%, the actual value was 84.79%, and the predicted value was 2.83% higher than Response Surface Methods optimisation. The environment for the growth of plant tissue can be accurately and efficiently optimised using a genetic algorithm and an artificial neural network. Further biological investigations will presumably utilise this technology.
    Keywords In vitro culture conditions ; Medicinal plants ; Gesho ; Rhamnus species ; Mathematical modelling ; Response Surface Methodology ; Agriculture (General) ; S1-972 ; Chemistry ; QD1-999
    Subject code 621
    Language English
    Publishing date 2023-09-01T00:00:00Z
    Publisher SpringerOpen
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Human Intelligence Analysis through Perception of AI in Teaching and Learning

    Pravin R. Kshirsagar / D. B. V. Jagannadham / Hamed Alqahtani / Quadri Noorulhasan Naveed / Saiful Islam / M. Thangamani / Minilu Dejene

    Computational Intelligence and Neuroscience, Vol

    2022  Volume 2022

    Abstract: Instructional practices have undergone a drastic change as a result of the development of new educational technology. Artificial intelligence (AI) as a teaching and learning technology will be examined in this theoretical review study. To enhance the ... ...

    Abstract Instructional practices have undergone a drastic change as a result of the development of new educational technology. Artificial intelligence (AI) as a teaching and learning technology will be examined in this theoretical review study. To enhance the quality of teaching and learning, the use of artificial intelligence approaches is being studied. Artificial intelligence integration in educational institutions has been addressed, though. Students’ assistance, teaching, learning, and administration are also addressed in the discussion of students’ adoption of artificial intelligence. Artificial intelligence has the potential to revolutionize our social interactions and generate new teaching and learning methods that may be evaluated in a variety of contexts. New educational technology can help students and teachers better accomplish and manage their educational objectives. Artificial intelligence algorithms are used in a hybrid teaching mode in this work to examine students’ attributes and introduce predictions of future learning success. The teaching process may be carried out in a more efficient manner using the hybrid mode. Educators and scientists alike will benefit from artificial intelligence algorithms that may be used to extract useful information from the vast amounts of data collected on human behavior.
    Keywords Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
    Subject code 401
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Development of Atorvastatin Calcium Biloaded Capsules for Oral Administration of Hypercholesterolemia

    Chitra Karthikeyini Senthilvel / Kavitha Karuppaiyan / Ananth Pothumani / Ananthi Vedharethinam / Ancy Wilfred Jose / Jamal Moideen Muthu Mohamed / Mohamed El Sherbiny / Hasnaa Ali Ebrahim / Mohamed El Shafey / Minilu Dejene

    Evidence-Based Complementary and Alternative Medicine, Vol

    2022  Volume 2022

    Abstract: The goal of this study was to develop atorvastatin (ATN) calcium biloaded, i.e., immediate release (IR) and sustained release (SR) capsules that would promote the quick onset of action and a better dissolution profile on both the IR and SR aspects. The ... ...

    Abstract The goal of this study was to develop atorvastatin (ATN) calcium biloaded, i.e., immediate release (IR) and sustained release (SR) capsules that would promote the quick onset of action and a better dissolution profile on both the IR and SR aspects. The IR granules were prepared by the wet granulation method, and an aqueous solubility study proved that the IR granules released the ATN within 25 min compared to the pure drug due to the addition of PEG and super disintegrants such as croscarmellose (CC) and crospovidone (CP). The sustained release nanoparticles (SR-NPs) were synthesized using a solvent evaporation technique and an optimal combination of hydrophilic and hydrophobic polymers. The addition of a hydrophobic polymer to a hydrophilic polymer delays drug release, resulting in a sustained and controlled release lasting up to 12 hours. The drug release of ATN from SR nanoparticles followed the Higuchi and Korsmeyer–Peppas models and had first-order kinetics (r2 = ???). Fourier transform infrared spectrophotometry, powder X-ray diffraction, and differential scanning calorimetric analysis were used to test the prepared biloaded capsules, and the results showed that there was no significant interaction between the polymers, excipients, and drug. The SEM and DLS analysis clearly demonstrated that drug particles in a continuous layer were enclosed by polymers at the nanoscale. To summarise, integrating both layers into a single capsule resulted in a superior release profile and patient compliance. Finally, prepared biloaded capsules were discovered to exhibit both an IR and an SR profile.
    Keywords Other systems of medicine ; RZ201-999
    Subject code 660
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Curcumin Plant for Colorectal Cancer Prediction and Prevention Using In Silico Molecular Analysis; HOT-MELT Extrusion

    Jamal Moideen Muthu Mohamed / Karuppaiyan Kavitha / Fazil Ahmad / Mohamed El Sherbiny / Doaa Ebrahim / Aida M. EL-Sagheer / Hasnaa Ali Ebrahim / Dalia Mahmoud Abdelmonem Elsherbini / Mosaab Abdella Ebrahim Abdelrahman / Minilu Dejene

    Evidence-Based Complementary and Alternative Medicine, Vol

    2022  Volume 2022

    Abstract: The impact of a soluble complex (SC) of curcumin (CuR) synthesized using hot melt (HM) and hot-melt extrusion (HE) technologies on adenocarcinoma cells for the treatment of colorectal cancer by enhancing CuR solubility is investigated in this work. In ... ...

    Abstract The impact of a soluble complex (SC) of curcumin (CuR) synthesized using hot melt (HM) and hot-melt extrusion (HE) technologies on adenocarcinoma cells for the treatment of colorectal cancer by enhancing CuR solubility is investigated in this work. In silico molecular modelling, solubility, drug release, and physicochemical analysis were all part of the phase solubility (PS) study, which featured a novel dyeing test and a central composite design to optimize the best complex (CDD). The optimal HE-SC (1 : 5) enhances solubility (0.8521 ± 0.016 mg·mL−1) and dissolution (91.87 ± 0.208% at 30 min), and it has an ideal stability constant (309 and 377 M−1) at 25 and 37°C and an AL type of isotherm, implying 1 : 1 stoichiometry according to the findings. An intermolecular hydrogen bond that has not undergone any chemical change and has resulted in the complete conversion of the amorphous form aids in the creation of SC. In vitro cytotoxicity was measured at IC50 on the SW480 (72 M·mL−1) and Caco-2 (40 M·mL−1) cells. According to apoptotic studies, apoptosis was responsible for the vast majority of cell death, with necrosis accounting for a small proportion of the total. In vivo toxicity was established using a zebrafish model, and a western blot examination revealed apoptosis at the molecular level. It was argued that the novel formulations developed using HE technology are more significant and effective than existing pure CuR formulations.
    Keywords Other systems of medicine ; RZ201-999
    Subject code 500
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    Inter-library loan at ZB MED

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