Experimental Investigation on Mechanical Properties of Hemp/E-Glass Fabric Reinforced Polyester Hybrid Composites

This research work has been focusing on Hemp fibers has an alternative reinforcement for fiber reinforced polymer composites due to its eco-friendly and biodegradable characteristics. This work has been carried out to evaluate the mechanical properties of hemp/E-glass fabrics reinforced polyester hybrid composites. Vacuum bagging method was used for the preparation of six different kinds of hemp/glass fabrics reinforced polyester composite laminates as per layering sequences. The tensile, flexural, impact and water absorption tests of these hybrid composites were carried out experimentally according to ASTM standards. It reveals that an addition of E-glass fabrics with hemp fabrics can increase the mechanical properties of composites and decrease the water absorption of the hybrid composites

Convolution Neural Network Based Prediction for Eye Gaze Estimation

Levels of progress in progress have truly made it possible to get various kinds of biometric information from individuals, enabling bases on assessment of human conditions in cure, auto prospering, advancing, and various zones. These evaluations have particularly featured eye improvement as a convincing marker with respect to human conditions, and assessment on its applications is adequately being pursued. The contraptions as of now for the most part used for assessing eye overhauls rely on the video-oculography (VOG) procedure, wherein the course of look is outlined by managing eye pictures crushed a camera. Applying convolutional neural network (ConvNet) to the getting ready of eye pictures has been seemed to enable exact and unprecedented look assessment. Ordinary picture overseeing, in any case, is begun on execution using a PC, making it difficult to finish consistent look. We hence propose another eye picture overseeing framework that cycles look assessment and event disclosure starting with one fulfillment then onto the accompanying using a self-governing engineered lightweight ConvNet. This paper evaluates the course of action of the proposed lightweight ConvNet, the frameworks for learning and appraisal used, and the proposed methodology's ability to meanwhile see look heading and event occasion using a truly unassuming memory and at lower computational complex nature than standard ways of thinking

Crypto Currency Prediction Model using ARIMA

Over the past few years, Bitcoin has been a topic of interest of many, from academic researchers totrade investors. Bitcoin is the first as well as the most popular cryptocurrency till date. Since itslaunch in 2009, it has become widely popular amongst various kinds of people for its trading systemwithout the need of a third party and due to high volatility of Bitcoin price. Thus, this article presentsa suitable model that can predict the market price of Bitcoin best by applying a few statisticalanalyses. Our work is done on five and half year’s bitcoin data from 2015 to 2020 based on timeseries analysis approachcalled autoregressive integrated moving average (ARIMA) model. Further, itis also compared to existing machine learning algorithm named linear regression (LR) model.Extensive prediction results shown that the proposed ARIMA model acquiredsuperior performancefor deciding volatility in weighted costs of bitcoin in the short run as compared to LR model

Brain Computer Interface for Emergency Virtual Voice

Brain computer interface (BCI) is one of the thriving emergent technology which acts as an interface between a brain and an external device. BCI for speech communication is acquiring recognition in various fields. Speech is one of the most natural ways to express thoughts and feelings by articulate vocal sounds. The purpose of this study is to restore communication ability of the people suffering from severe muscular disorders like amyotrophic lateral sclerosis (ALS), stroke which causes paralysis, locked-in syndrome, tetraplegia and Myasthenia gravis. They cannot interact with their environment even though their intellectual capabilities are intact. Our work attempts to provide summary of the research articles being published in reputed journals which lead to the investigation of published BCI articles, BCI prototypes, Bio-Signals for BCI, intent of the articles, target applications, classification techniques, algorithms and methodologies, BCI system types. Thus, the result of detailed survey presents an outline of available studies, recent results and looks forward to future developments which provides a communication pathway for paralyzed patients to convey their needs

Assessing methanogenic archaeal community in full scale anaerobic sludge digester systems in Dubai, United Arab Emirates

© 2018 Khan et al. Introduction: Anaerobic digestion for methane production comprises of an exceptionally diverse microbial consortium, a profound understanding about which is still constrained. In this study, the methanogenic archaeal communities in three full-scale anaerobic digesters of a Municipal Wastewater Treatment Plant were analyzed by Fluorescence in situ hybridization and quantitative real-time Polymerase Chain Reaction (qPCR) technique. Methods & Materials: Fluorescence in situ hybridization (FISH) was performed to detect and quantify the methanogenic Archaea in the sludge samples whereas qPCR was carried out to support the FISH analysis. Multiple probes targeting domain archaea, different orders and families of Archaea were used for the studies. Results and Discussion: In general, the aceticlastic organisms (Methanosarcinaceae & Methanosaetaceae) were more abundant than the hydrogenotrophic organisms (Methanobacteriales, Methanomicrobiales, Methanobacteriaceae & Methanococcales). Both FISH and qPCR indicated that family Methanosaetaceae was the most abundant suggesting that aceticlastic methanogenesis is probably the dominant methane production pathway in these digesters. Conclusion: Future work involving high-throughput sequencing methods and correlating archaeal communities with the main operational parameters of anaerobic digesters will help to obtain a better understanding of the dynamics of the methanogenic archaeal community in wastewater treatment plants in United Arab Emirates (UAE) which in turn would lead to improved performance of anaerobic sludge digesters

Electrochemical analysis of indigo carmine using polyarginine modified carbon paste electrode

Suitable electrocatalytic method is established for the selective determination of indigo carmine (IC) at polyarginine modified carbon paste electrode (PAMCPE). Surface morphological study of bare carbon paste electrode (CPE) and PAMPCE is done by field emission scanning electron microscopy (FESEM). The influence of different parameters such as IC concentration, solution pH and potential scan rate on the electrode responses is studied using cyclic and differential pulse voltammetry techniques. The prepared PAMCPE shows better electrochemical response towards IC than CPE. No interference is noticed at simultaneous presence of IC and riboflavin (RF) in the solution. The electrocatalytic current of IC at PAMPCE is varied linearly with its concentration in two separate ranges, from 2×10-7 to 10-6 M, and 1.5×10-6 to 3.5×10-6 M. Limits of detection (LOD) and quantification (LOQ) are determined as 2.53×10-8 and 8.43×10-8 M, respectively. The developed PAMCPE is showing successful reproducibility and stability. It is also found sensitive and reliable for trace amounts of IC in some real water and food samples. Since preparation of PAMCPE sensor is simple and easy, it could become a part of the standard method for determination of IC in real samples

DESIGN, SYNTHESIS, AND COMPREHENSIVE CHARACTERIZATION OF NOVEL PEMETREXED ANALOGUES FOR TARGETED NON-SMALL CELL LUNG CANCER THERAPY: A PRECISION-DRIVEN APPROACH TO ENHANCING CHEMOTHERAPEUTIC EFFICACY

The synthesis and characterization of Pemetrexed analogues (PMA-1 and PMA-2) were performed to enhance the stability, permeability, and anticancer potential of the parent drug. The synthesized analogues exhibited higher melting points (PMA-1: 229–234°C, PMA-2: 235–239°C) compared to Pemetrexed (225–227°C), indicating increased thermal stability. PMA-1 had a higher yield (82%) than PMA-2 (74%), suggesting more efficient synthetic pathways. Thin Layer Chromatography (TLC) analysis revealed increased Rf values (PMA-1: 0.56, PMA-2: 0.59), suggesting improved lipophilicity. FTIR spectral analysis confirmed successful structural modifications, with shifts in C=O stretching (PMA-1: 1655–1685 cm⁻¹, PMA-2: 1660–1690 cm⁻¹) and N-H stretching (PMA-1: 3100–3500 cm⁻¹, PMA-2: 3200–3450 cm⁻¹), indicating altered hydrogen bonding and electronic interactions. Mass spectrometry analysis further confirmed the successful synthesis, with M+ ion peaks at m/z 563.54 for PMA-1 and m/z 577.56 for PMA-2. Sulforhodamine B (SRB) assay was used to test the analogues\u27 anticancer potential against the following cell lines: HeLa (cervical cancer), A549 (lung cancer), MCF-7 (breast cancer), and HCC1937 (breast cancer). PMA-1 consistently exhibited stronger cytotoxic activity than PMA-2, demonstrating dose-dependent inhibition across all cell lines. At 90 μg/mL, PMA-1 achieved 84.55% inhibition in HCC1937, 87.22% in MCF-7, 82.15% in A549, and 81.79% in HeLa cells, outperforming PMA-2. These findings suggest that PMA-1 may be a superior candidate for further anticancer evaluation, with potential improvements in drug stability, solubility, and therapeutic efficacy. Further in vivo studies and mechanistic investigations are warranted to validate its clinical relevance

Bacterial community structure in anaerobic digesters of a full scale municipal wastewater treatment plant - Case study of dubai, united arab emirates

© 2019, International Centre for Sustainable Development of Energy, Water and Environment Systems SDEWES. All rights reserved. A highly complex microbial community involved in anaerobic sludge digesters plays vital roles in sludge treatment. The data on microbial ecology is important to accomplish efficient operation of the anaerobic digesters. This study is aimed at monitoring the bacterial community of three full-scale anaerobic digesters of a full-scale municipal wastewater treatment Plant in Dubai, United Arab Emirates. Fluorescent in-situ hybridization technique was applied to identify the bacterial groups and quantitative polymerase chain reaction to compare the richness of bacterial and archaeal domain. Results of the fluorescent in-situ hybridization technique analysis showed that the phylum Proteobacteria was most abundant followed by cytophage-Flavobacterium group of Bacteroides, Firmicutes and Actinobacteria. Among proteobacterial subclass Delta- and Alpha- were dominating than Gamma- and Beta-proteobacteria. The genus Desulfobacter and Desulfobacterium were the dominant groups hybridizing 70-76% of total 4\u27, 6\u27- diamidino - 2 phenylindole stained cells. The quantitative polymerase chain reaction results showed that Bacterial domain was dominating in all three digesters compared to the archaeal domain

Formulation and Evaluation of Sustained Release Microspheres for Anti-Diabetic Drug Delivery

Introduction: Improved therapeutic efficacy is achieved through sustained release drug delivery systems, which prolong the duration for which medication plasma concentrations remain within the therapeutic window. Drug bioavailability and dosage frequency are both enhanced by microspheres, making them a potentially useful tool. Aiming for enhanced patient compliance and regulated drug release, this study will develop and test sustained release microspheres for the delivery of anti-diabetic medications.Materials and Methods: Solvent evaporation was used to create microspheres using polymeric carriers like Eudragit RL100 and ethyl cellulose. Size, shape, drug loading, encapsulation efficiency, and in vitro drug release were the parameters measured for the produced microspheres. We used FTIR and DSC to study the drug-polymer interactions, and SEM to look at the surface morphology. Studies were carried out to assess the behavior of prolonged drug release in a controlled laboratory setting simulating the stomach and intestines.Results: Microspheres had a spherical shape and might be 100-300 µm in size. The polymer composition determined the drug entrapment efficiency, which ranged from 70% to 90%. There were no drug-polymer interactions, according to FTIR and DSC research. Examination using scanning electron microscopy revealed microspheres that were homogeneous and glossy. Evidence of diffusion-controlled release was found in in vitro release tests, which showed a 12- to 24-hour pattern of sustained drug release according to zero-order and Higuchi kinetics.Conclusion: Prolonged treatment effects and enhanced patient compliance were ensured by the designed microspheres\u27 sustained release of the anti-diabetic medication. The research shows that microspheres made of polymers could be a great way to manage diabetes with regulated medicine delivery

Formulation and Evaluation of Sustained Release Microspheres for Anti-Diabetic Drug Delivery

Introduction: Improved therapeutic efficacy is achieved through sustained release drug delivery systems, which prolong the duration for which medication plasma concentrations remain within the therapeutic window. Drug bioavailability and dosage frequency are both enhanced by microspheres, making them a potentially useful tool. Aiming for enhanced patient compliance and regulated drug release, this study will develop and test sustained release microspheres for the delivery of anti-diabetic medications.Materials and Methods: Solvent evaporation was used to create microspheres using polymeric carriers like Eudragit RL100 and ethyl cellulose. Size, shape, drug loading, encapsulation efficiency, and in vitro drug release were the parameters measured for the produced microspheres. We used FTIR and DSC to study the drug-polymer interactions, and SEM to look at the surface morphology. Studies were carried out to assess the behavior of prolonged drug release in a controlled laboratory setting simulating the stomach and intestines.Results: Microspheres had a spherical shape and might be 100-300 µm in size. The polymer composition determined the drug entrapment efficiency, which ranged from 70% to 90%. There were no drug-polymer interactions, according to FTIR and DSC research. Examination using scanning electron microscopy revealed microspheres that were homogeneous and glossy. Evidence of diffusion-controlled release was found in in vitro release tests, which showed a 12- to 24-hour pattern of sustained drug release according to zero-order and Higuchi kinetics.Conclusion: Prolonged treatment effects and enhanced patient compliance were ensured by the designed microspheres\u27 sustained release of the anti-diabetic medication. The research shows that microspheres made of polymers could be a great way to manage diabetes with regulated medicine delivery