Journal of Science & Technology (JST)
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A Review on Gene Expression In Trypanosomes
Get PDFUnique To progress transfection productivity in Trypanosomacruzi, we created a modern electroporation protocol and expression vectors which utilize luciferase and green and ruddy fluorescent proteins as columnist qualities. In transients transfections, the electroporation conditions reported here brought about in luciferase expression 100 times higher than the levels gotten with already described protocols. To confirm whether groupings containing different trans-splicing signals impact columnist gene expression, we compared DNA parts corresponding to 5¢ untranslated furthermore intergenic (5¢ UTR furthermore Ig) regions from GAPDH, TcP2b, aand b-tubulin and amastin qualities. Vectors containing groupings derived from the primary four qualities displayed comparative efficiencies and brought about in luciferase expression in transiently transfected epimastigotes that was up to 10 times higher than that for a control vector. In differentiate, the amastin 5¢ UTR also Ig come about in lower levels of columnist gene expressionWe too developed a vector containing an expression cassette planned to be focused on to the tubulin locus of the parasite[1]
Performance Analysis of Three-Phase Solar PV Integrated UPQC Using Space Vector Technique
Get PDFDue to the increase of load demand in future, the generation must also increase. The use of traditional resources such as coal, diesel fuels etc., causes global warming which is leading us to shift to renewable energy resources. Renewable energy resources may in include solar, wind, tidal as the source for production. These are used in small quantities as Distribution Generators (DG) at different locations in a bus system. As the generation of these sources is less when connected to grid, we call them as micro-grids. These micro grids generally use these DGs to distribute power to loads, and involve power electronic elements to control the generation. It induces energy into the system but also create a problem of harmonic distortions and voltage sags. To eliminate these sags and harmonics in the micro grid system caused by the power electronic devices employed by the renewable sources, we induce a UPQC (Unified Power Quality Conditioner) system. The UPQC system eliminates the harmonics in the systems and restores the voltage of the micro-grid system. We introduce a new topology called instantaneous reactive power (IRP) theory in the UPQC control to operate in a more efficient way, by utilizing RES (Renewable Energy Sources) at the DC-link. The RES support the UPQC system by injecting the active power generated by the resources through DC-link
Rainfall Forecasting Based on Surface Data of Chennai Region Using Artificial Neural Networks
Get PDFIn this study, we developed user friendly rainfall forecasting system based on Back propagation Neural Network using MATLAB 7.10 to forecast Hourly rainfall in Chennai region. The dataset of 31488 samples has been collected from Nungambakkam Meteorological Station, Chennai for the period of 2005 to 2015. The data was organized into day-wise hourly recordings as well as day-wise, maximum, minimum, average data of Relative Humidity (RH), Temperature, Pressure and Wind Speed along with Rainfall data. The collected dataset has been used both for training and for testing the data. The developed system gives more accuracy of 94.8197% when the training data set is 55% and the testing data set is 45% with least Mean Squared Error (MSE) value 0.012437
Crack Identification and Localization In Structural Beams Using Numerical and Experimental Modal Analysis- A Review
Get PDFThis article presents a critical review of recent research done on crack identification and localization in structural beams using numerical and experimental modal analysis. Crack identification and localization in beams are very crucial in various engineering applications such as ship propeller shafts, aircraft wings, gantry cranes, and Turbo machinery blades. It is necessary to identify the damage in time; otherwise, there may be serious consequences like a catastrophic failure of the engineering structures. Experimental modal analysis is used to study the vibration characteristics of structures like natural frequency, damping and mode shapes. The modal parameters like natural frequency and mode shapes of undamaged and damaged beams are different. Based on this reason, structural damage can be detected, especially in beams. From the review of various research papers, it is identified that a lot of the research done on beams with open transverse crack. Crack location is identified by tracking variation in natural frequencies of a healthy and cracked bea
ADVANCED ENCRYPTION TECHNIQUES FOR INDUSTRIAL IOT AND CONTROL SYSTEMS
Get PDFThe increasing integration of Industrial Internet of Things (IIoT) and Industrial Control Systems(ICS) into critical infrastructure has led to significant advancements in automation, data analysis,and operational efficiency. However, this connectivity also introduces vulnerabilities and cyberthreats, which necessitate robust security measures. Among these, encryption plays a crucial rolein securing communication channels and protecting sensitive data from unauthorized access andtampering. This paper explores advanced encryption techniques for IIoT and ICS, focusing ontheir effectiveness in safeguarding industrial networks. Various cryptographic methods, includingsymmetric, asymmetric, and hybrid encryption, are evaluated for their applicability in industrialenvironments. Additionally, quantum-resistant algorithms are also discussed, considering thegrowing potential of quantum computing to break traditional encryption methods. The researchhighlights the need for encryption standards tailored to the unique requirements of industrialsystems, such as low latency, high throughput, and scalability. The study also proposes a set ofbest practices for implementing encryption across IIoT and ICS, providing insights into futuretrends and challenges
Targeting the SIRT1-Autophagy Axis: A Novel Therapeutic Approach to Mitigate Ischemia-Reperfusion-Induced Cardiac Injury
Get PDFThe enzymes known as sirtuins, or silent information regulator 2, are histone deacetylases that depend on nicotinamide adenine dinucleotide (NAD+). In addition to its well-established role in prolonging longevity, further study is necessary to examine the beneficial effects of Sirtuin 1 (SIRT1), a member of the sirtuin group, on lipid metabolism. SIRT1 has been extensively associated with the control of gene expression. The SIRT1 substrate sterol regulatory element-binding protein (SREBP) has garnered a lot of attention because of its involvement in a number of biological processes, such as metabolic activities, DNA damage repair, and cell cycle control. Therefore, the aim of this investigation was to examine and clarify the relationship between SIRT1 and SREBPs and evaluate the role of SIRT1/SREBPs in reducing dysfunction in lipid metabolism. Investigating whether SIRT1 and SREBPs may be used as feasible targets for therapeutic intervention in the management of diabetic complications was the aim of this study
REAL-TIME PROGNOSTICS AND HEALTH MANAGEMENT WITHOUT RUN-TO-FAILURE DATA ON RAILWAY ASSETS
Get PDFPredictive maintenance is fundamental for working on the dependability and execution of assorted partsand frameworks. In any case, the shortfall of open rush to-disappointment information every now and again blocksthe making of exact prognostic models. This study handles this trouble by presenting a creative prognostic strategyexplicitly intended for reasonable railroad support arranging, with an accentuation on entryway frameworks. Thesignificant objective is to give a prognostic methodology fit for determining the leftover valuable existence of railroadentryway frameworks without relying upon race to-disappointment information. The strategy tries to work withproductive prescient upkeep arranging by assessing shortcoming seriousness and computing the time left until basicissue limits are reached. The proposed approach utilizes engine current signs to deliver a disintegration marker for railline entryway frameworks. “Dynamic time warping (DTW)” is used to assess the closeness among typical andblemished conduct, though the K-means procedure is applied to decide shortcoming seriousness. A delegate timeassessment is performed for every seriousness level, empowering the estimate of residual time until basic shortcominglevels are accomplished. This strategy doesn't require rush to-disappointment information. The proposed strategy,through preliminary and examination, is valuable in prescient support making arrangements for railroad entrywayframeworks. The strategy offers valuable experiences for opportune support intercessions by definitively assessingshortcoming seriousness and guaging the leftover time until significant flaws happen. K-means bunching has beenrefined, and Random Forest along with a Stacking Classifier (LGBM+RF+DT) has been integrated into theundertaking to foresee predisposition type, with a great exactness pace of 99.5
An Overview of HPTLC and HPLC: Theory, Practice, and New Advancements
Get PDFIn order to guarantee that the production equipment is free of any undesirable contaminant that might affect the
drug product's safety and effectiveness, the analytical approach must be sensitive, specific, rapid, and accurate.
The use of HPLC and UPLC methods in pharmaceutical cleaning validation has been well-established. When it
comes to qualitative and quantitative analysis, HPTLC is just as effective as any other contemporary analytical
instrument. Today, high-performance thin-layer chromatography (HPTLC) is an integral part of analytical
practice, working in tandem with HPLC rather than against it
Design and Implementation of a Secure Electronic Voting System Using Fingerprint Identification and Real-Time SMS Notifications
Get PDFThis project presents the design and implementation of an electronic voting system that enhances security, efficiency, and reliability through the integration of several key technologies. The system incorporates an LCD display for user interaction, a fingerprint module for secure voter identification, and a GSM module for sending real-time SMS notifications. The primary objectives are to ensure that only registered voters can cast their votes, prevent multiple voting by the same individual, and provide timely updates on voting results. The hardware setup includes an Arduino microcontroller connected to an LCD display, a fingerprint module, a GSM module, buttons for voter input, a buzzer for feedback, and a shifter for controlling the GSM module’s power state. The software is designed to manage the enrolment of voter fingerprints, validate RFID cards, identify voters, and record votes. Votes can be cast for one of three parties, with the system maintaining and displaying vote counts. Additionally, the system sends periodic updates of the vote counts via SMS. This project achieves significant milestones in securing the voting process through fingerprint recognition, providing user-friendly interaction via the LCD, and ensuring transparency with real-time SMS updates. The system effectively prevents voting fraud by ensuring each voter can vote only once. Future enhancements could include scaling the system to accommodate more voters and candidates, improving error handling, refining the user interface, and integrating with broader voting systems. This electronic voting system demonstrates the practical application of embedded systems and communication technologies to improve election integrity and management
REAL TIME VIOLENCE DETECTION
Get PDFReal-time violence detection has become increasingly essential in today's security and surveillance systems. This paper proposes a novel approach utilizing advanced computer vision techniques and machine learning algorithms for the real-time detection of violent behavior in video streams. By extracting key features such as motion patterns, body poses, and spatial relationships, coupled with deep learning models for classification, our system achieves high accuracy and efficiency in identifying violent acts as they occur. The proposed framework offers promising potential for enhancing public safety, facilitating timely interventions, and mitigating potential threats in various real-world scenarios