Watermelon seed extract inhibits protein aggregation and formation of advanced glycation end-products

BACKGROUND: Glycation of proteins is a key element in the onset of diabetes consequences. The potential of medicinal plants to inhibit the progression of glycation complications provides a significant opportunity as an alternative therapy. METHODS: The effect of watermelon seed extract (WMSE) on antioxidant capacity was assessed based on radical scavenging activity and metal chelation activity. Further the inhibition of Advanced glycation end-products (AGEs) formation was assessed by using different sources of amine (haemoglobin, bovine serum albumin, G.K peptide) and sugar sources (δ-gluconolactone, methylglyoxal, ribose). Aminoguanidine (AG) used as standard drug. RESULTS: Due to the presence of various phytochemicals that could disrupt the chain of events and prevent the development of AGEs, WMSE demonstrated its potential inhibitory effects at every step of protein glycation. A key part of this response is the scavenging of free radicals produced by glycation. CONCLUSION: The WMSE may aid to give a protective effect against protein degradation caused by hyperglycemia, which may be helpful in the treatment of problems associated with diabetes

Genetic Programming Lifelong Multitasking Evolution: LLGP-Tasking

We present a Lifelong Multi-Tasking learning algorithm based on Genetic Programming referred to as “LLGPTasking”. This paper extends previously published work ”GPTasking” kattanSSCI2020GPTASKING, evolving a population of GP trees using a multifaceted strategy. In GP-Tasking, each individual is trained with multiple fitness functions (where each function represents one task and has different training/testing sets). Empirical evidence demonstrated that the quality of evolved solutions is comparable to standard GP achieving significantly faster computational time while maintaining smaller evolved population sizes. In this work, we improved GP-Tasking and introduced a new crossover mechanism to transfer useful knowledge across different tasks. Further, we introduced new population initialisation approach to accumulate knowledge across different domains. The new LLGP-Tasking can solve multiple problems simultaneously and receive sequentially new batches of problems, Experimental results of the new LLGPTasking demonstrate superiority of evolved solutions over standard GP and it maintained same search speed produced by its predecessor (i.e., GP-Tasking)

A Simple, Cost-Effective, and Green HPTLC Method for the Estimation of Ascorbic Acid in Solvent and Ultrasound-Assisted Extracts of Phyllanthus emblica, Capsicum annuum, and Psidium guajava

Greener analytical methodologies for the estimation of ascorbic acid (AA) are poorly reported in the literature. Furthermore, the green indexes of the literature’s analytical assays of AA estimation have not been assessed. As a consequence, the aim of this research is to invent and validate a simple, cost-effective, and green reverse-phase “high-performance thin-layer chromatography (HPTLC)” method for the estimating AA in the solvent extracts (SE) and ultrasound-assisted extracts (UAE) of Phyllanthus emblica, Psidium guajava, and Capsicum annuum. The greener mobile phase for AA estimation was a binary mixture of water and ethanol (70:30, v/v). At a wavelength of 265 nm, the detection of AA was carried out. The greener HPTLC technique was linear in the 25–1200 ng/band range. In addition, the method was simple, cost-effective, accurate, precise, robust, sensitive, and green. The amount of AA was highest in the SE and UAE of P. emblica compared to the SE and UAE of P. guajava and C. annuum. The amount of AA in the SE of P. emblica, P. guajava, and C. annuum was found to be 491.16, 168.91, and 144.30 mg/100 g, respectively. How-ever, the amount of AA in the UAE of P. emblica, P. guajava, and C. annuum was found to be 673.02, 218.71, and 199.30 mg/100 g, respectively. Using the “analytical GREEnness (AGREE)” methodology, the greenness index for the developed method was calculated to be 0.88, showing that the developed method has an excellent green profile. When it came to extracting AA, the UAE method outperformed the SE method. These findings suggested that the developed method might be used to estimate the AA in a variety of vegetable crops, plant-based extracts, and commercial formulations. Furthermore, because of the use of greener solvent systems against the commonly utilized hazardous solvent systems for AA determination, this technique is also safe and sustainable

Simultaneous estimation of cinnamaldehyde and eugenol in essential oils and traditional and ultrasound-assisted extracts of different species of cinnamon using a sustainable/green HPTLC technique

A wide range of analytical techniques are reported for the determination of cinnamaldehyde (CCHO) and eugenol (EOH) in plant extracts and herbal formulations either alone or in combination. Nevertheless, sustainable/green analytical techniques for the estimation of CCHO and EOH either alone or in combination are scarce in the literature. Accordingly, the present research was carried out to establish a rapid, highly sensitive, and sustainable high-performance thin-layer chromatography (HPTLC) technique for the simultaneous estimation of CCHO and EOH in the traditional and ultrasound-assisted methanolic extracts of Cinnamomum zeylanicum, C. burmannii, and C. cassia and their essential oils. The simultaneous estimation of CCHO and EOH was performed through NP-18 silica gel 60 F254S HPTLC plates. The cyclohexane/ethyl acetate (90:10, v v−1) solvent system was optimized as the mobile phase for the simultaneous estimation of CCHO and EOH. The greenness score of the HPTLC technique was predicted using AGREE software. The entire analysis was carried out at a detection wavelength of 296 nm for CCHO and EOH. The sustainable HPTLC technique was observed as linear in the range 10–2000 ng band−1 for CCHO and EOH. The proposed technique was found to be highly sensitive, rapid, accurate, precise, and robust for the simultaneous estimation of CCHO and EOH. The content of CCHO in traditional methanolic extracts of C. zeylanicum, C. burmannii, and C. cassia was found to be 96.36, 118.49, and 114.18 mg g−1, respectively. However, the content of CCHO in ultrasound-assisted methanolic extracts of C. zeylanicum, C. burmannii, and C. cassia was found to be 111.57, 134.39, and 129.07 mg g−1, respectively. The content of CCHO in essential oils of C. zeylanicum, C. burmannii, and C. cassia was found to be 191.20, 214.24, and 202.09 mg g−1, respectively. The content of EOH in traditional methanolic extracts of C. zeylanicum, C. burmannii, and C. cassia was found to be 73.38, 165.41, and 109.10 mg g−1, respectively. However, the content of EOH in ultrasound-assisted methanolic extracts of C. zeylanicum, C. burmannii, and C. cassia was found to be 87.20, 218.09, and 121.85 mg g−1, respectively. The content of EOH in essential oils of C. zeylanicum, C. burmannii, and C. cassia was found to be 61.26, 79.21, and 69.02 mg g−1, respectively. The amounts of CCHO and EOH were found to be significantly higher in ultrasound-assisted extracts of all species compared to its traditional extraction and hence ultrasound extraction has been proposed as a superior technique for the extraction of CCHO and EOH. The AGREE analytical score of the present analytical technique was predicted as 0.75, suggesting excellent greenness profile of the proposed analytical technique. Based on all these observations and results, the proposed sustainable HPTLC technique can be successfully used for the simultaneous estimation of CCHO and EOH in different plant extracts and herbal products

Simultaneous determination of 6-shogaol and 6-gingerol in various ginger (Zingiber officinale Roscoe) extracts and commercial formulations using a green RP-HPTLC-densitometry method

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Various analytical methodologies have been reported for the determination of 6-shogaol (6-SHO) and 6-gingerol (6-GIN) in ginger extracts and commercial formulations. However, green analytical methods for the determination of 6-SHO and 6-GIN, either alone or in combination, have not yet been reported in literature. Hence, the present study was aimed to develop a rapid, simple, and cheaper green reversed phase high-performance thin-layer chromatography (RP-HPTLC) densitometry method for the simultaneous determination of 6-SHO and 6-GIN in the traditional and ultrasonication-assisted extracts of ginger rhizome, commercial ginger powder, commercial capsules, and commercial ginger teas. The simultaneous analysis of 6-SHO and 6-GIN was carried out via RP-18 silica gel 60 F254S HPTLC plates. The mixture of green solvents, i.e., ethanol:water (6.5:3.5 v/v) was utilized as a mobile phase for the simultaneous analysis of 6-SHO and 6-GIN. The analysis of 6-SHO and 6-GIN was performed at λmax = 200 nm for 6-SHO and 6-GIN. The densitograms of 6-SHO and 6-GIN from traditional and ultrasonication-assisted extracts of ginger rhizome, commercial ginger powder, commercial capsules, and commercial ginger teas were verified by obtaining their single band at Rf = 0.36 ± 0.01 for 6-SHO and Rf = 0.53 ± 0.01 for 6-GIN, compared to standard 6-SHO and 6-GIN. The green RP-HPTLC method was found to be linear, in the range of 100–700 ng/band with R2 = 0.9988 for 6-SHO and 50–600 ng/band with R2 = 0.9995 for 6-GIN. In addition, the method was recorded as “accurate, precise, robust and sensitive” for the simultaneous quantification of 6-SHO and 6-GIN in traditional and ultrasonication-assisted extracts of ginger rhizome, commercial ginger powder, commercial capsules, and commercial ginger teas. The amount of 6-SHO in traditional extracts of ginger rhizome, commercial ginger powder, commercial capsules, and commercial ginger teas was obtained as 12.1, 17.9, 10.5, and 9.6 mg/g of extract, respectively. However, the amount of 6-SHO in ultrasonication-assisted extracts of ginger rhizome, commercial ginger powder, commercial capsules, and commercial ginger teas were obtained as 14.6, 19.7, 11.6, and 10.7 mg/g of extract, respectively. The amount of 6-GIN in traditional extracts of ginger rhizome, commercial ginger powder, commercial capsules, and commercial ginger teas were found as 10.2, 15.1, 7.3, and 6.9 mg/g of extract, respectively. However, the amount of 6-GIN in ultrasonication-assisted extracts of ginger rhizome, commercial ginger powder, commercial capsules, and commercial ginger teas were obtained as 12.7, 17.8, 8.8, and 7.9 mg/g of extract, respectively. Overall, the results of this study indicated that the proposed analytical technique could be effectively used for the simultaneous quantification of 6-SHO and 6-GIN in a wide range of plant extracts and commercial formulations

Automatic seat belt

Motor vehicle accidents have grown to be a major cause of death and injuries. We are developed occupant safety feature with an intension to reduce accidental injuries to occupants. After studying number of design plans and research papers, we have concluded to design and develop seat belt safety mechanism using spring and rope mechanism. In case of accidents, passenger lives can be saved greatly by use of seat belts and airbags in the automobiles. The safety implications of these systems and the stringent safety regulations in the world have brought a growing market to these products. The purpose of developing the project is to design alternate method of seat belt safety mechanism without changing the available space in the car and also to provide safety to occupants in those cars in which air bags and other safety system could not be implemented due to increase in cost.The actuating system design includes three point seat belt, spring, wire rope ,solenoid and locking mechanism

Salicornia bigelovii, S. brachiata and S. herbacea:Their Nutritional Characteristics and an Evaluation of Their Potential as Salt Substitutes

Excessive sodium (salt) intake in our diet is a main contributor to hypertension and a major risk factor for cardiovascular illnesses. As a result, research has made great efforts to develop salt alternatives, and Salicornia spp. offers a very high potential in the food industry for its promising functional characteristics. This review focuses on the nutritional profile, health effects and commercial potential of three specific species of the Salicornia genus: S. bigelovii, S. brachiata and S. herbacea. It also addresses the methods that are used to produce them as salt substitutes. Owing to the antinutritional and anti-inflammatory effects of its bioactive compounds, Salicornia spp. can serve as an organic biological preservative in foods with better consumer appeal when compared with chemical preservatives that are common in the food industry. Overall, the commercial use of these underutilized species will help to improve food security

Actividad anti-ulcerosa del tallo de Sándalo (Santalum album L.) en extractos hidro-alcoholicos en tres modelos de ulceración gástrica de ratas Wistar

Sándalo (Santalum album L.) se utiliza en diversos sistemas de medicina tradicional, como el Ayurveda, Siddha y Unani para tratar una amplia gama de  dolencias. En la medicina Unani, Safed Sandal se usa para tratar úlceras gástricas, por lo tanto, el presente estudio se realizó para confirmar esta afirmación.  Una prueba de límite según las directrices de la OCDE se llevó a cabo a una dosis de 5000 mg/kg para determinar la dosis tóxica aguda del extracto  hidroalcohólico del tallo de S. álbum (SASE). Dos dosis de prueba de SASE (250 y 500 mg/kg) se sometieron al estudio de la actividad anti-úlcera por tres  modelos in vivo, a saber: la inmersión en agua – estrés de restricción, y la ulceración gástrica inducida por etanol e indometacina, en ratas Wistar albinas. Un  inhibidor de la bomba de protones, omeprazol 10 mg/kg y el antagonista de los receptores H2, ranitidina 50 mg/kg fueron empleados como fármacos estándar.  Los resultados revelaron un aumento de la protección gástrica como una disminución significativa (p < 0.001) en el número promedio de úlceras, la gravedad  de las úlceras y el índice de úlcera acumulativo se observó en los grupos de prueba. Evidencias histopatológicas apoyaron las conclusiones anteriores. El  efecto anti úlcera observado por efecto de SASE a 500 mg/kg fue comparable a la de fármacos estándar utilizados en los experimentos que indican un  significativo potencial anti-úlcera, especialmente a mayores concentraciones

Physicochemical and biochemical properties of pepsin-solubilized collagen isolated from the integument of Sea Cucumber (Stichopus vastus)

The integument (high collagen content) of sea cucumber Stichopus vastus is generally wasted after harvesting, whereas only its stomach and intestines are eaten in few Asian countries. Amino acid composition, thermal transition temperature (Tm), zeta potential, solubility, moisture absorption and retention capacities, proximate composition and morphology of pepsin-solubilized collagen (PSC) isolated from the integument of S. vastus were studied. Amino acid composition revealed that glycine was dominant in the isolated collagen. PSC was found to have an isoelectric pH of 4.67, good moisture absorption and retention capacity at higher humidity, a sharp effect of pH and NaCl concentration on solubility, and an inverse relationship between temperature and viscosity. PSC also showed the maximum Tm to be 37.3C, very high protein content and ultrastructural characteristics. Hence, the PSC has the potential to be used as a functional ingredient in food, cosmetics and nutraceutical products

Context-Aware Audio-Visual Speech Enhancement Based on Neuro-Fuzzy Modelling and User Preference Learning

It is estimated that by 2050 approximately one in ten individuals globally will experience disabling hearing impairment. In the presence of everyday reverberant noise, a substantial proportion of individual users encounter challenges in speech comprehension. This study introduces a novel application of neuro-fuzzy modelling that synergizes and fuses audio-visual speech enhancement (AV SE) with an initial user preference learning based framework. Specifically, our approach uniquely integrates multimodal AV speech data with innovative SE methods and fuzzy inferencing techniques. This integration is further enriched by incorporating a user-preference learning model that adapts to environmental and user-specific contexts, including signal-to-noise ratios, sound power, and the quality of visual information. The proposed framework facilitates the incorporation of clinical measures such as user cognitive load (or listening effort) with real-world uncertainty to steer the system outputs. We employ an adaptive fuzzy neural network to derive the most effective Sugeno fuzzy inference model, employing particle swarm optimization to ensure optimal SE by considering sound power, ambient noise levels, and visual quality. Experimental results utilise our new benchmark AV multi-talker Challenge dataset to demonstrate the superiority of our user preference-informed, context-aware AV SE approach in enhancing speech intelligibility and quality in challenging noisy conditions, marking a significant advancement over conventional methods while reducing energy consumption. The conclusion supports the ecological scalability of our approach and its potential for real-world applications, setting a new benchmark in AV SE research, paving the way for future assistive hearing and communication technologies