Volume 12 | Issue 4

 Abstract

In the quickly changing digital world, data acquisition and digitalization becomes imperative. The ADC is the second most widely used type in data acquisition systems. Inside an ADC a dynamic comparator plays a crucial role in digitalization of the input signal. In this work we propose a low power area efficient single tail rail-to-rail dynamic comparator for biological signal acquisition systems. The proposed design consumes 9.032pW of average power under 1 v supply voltage. The area efficiency is achieved by using 11 transistors to implement the full comparator functionality. The schematic was designed and simulated in LT spice XVII tool.

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 Keywords

Low power dynamic comparator,ADC, Biomedical applications

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Main constituents such as Goji berries, predominantly from China and pomegranates which have been recognized for their antioxidizing activity, are included in the Antiseptic formulation of Jelly F1, F2, F3, F4. The peel of the pomegranate, which contains a high level of tannins, must be macerated for extraction. In the same way, extracts of menthol and goji berries that have been macerated contribute to this formulation. Chemical tests confirm the presence of essential components such as tannins in pomegranate (ferric chloride test), terpenes in menthol (salkowski and sulphur test), and phenolic compounds in Goji berry(lead acetate test). Safety, effectiveness, and multidisciplinary usability are ensured by the evaluation process. Parameters include maintaining a pH range of 6.31-6.75, achieving a successful blue colour in the formulation with no grittiness. The determination of the drug content in the light of absorbance measurement is made by UV analysis. All tests have proved successful in demonstrating that the formulation is ready. In general, the herbal antiulcer jellies have emerged as an elegant solution that harnesses the healing powers of pomegranate, menthol, and Gobi berry to provide potential therapeutic benefits.

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Goji-berry, Pomegranate, Anti-Ulcer, Jellies, Antioxidants, Tannins, Terpenes, Health benefits.

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In recent years, there has been an enormous increase in the use of Augmented Reality (AR) technology in classrooms, with a specific emphasis on its application in enhancing the learning of electronics concepts. This review paper presents a comprehensive analysis of the studies conducted in this domain, aiming to assess the efficacy of Augmented Reality (AR) in electronics education. A comparative analysis of the Experimental group and the Control group reveals significant trends. The Experimental group consistently demonstrates higher mean performance and lower standard deviations, indicating that AR technology positively influences the learning outcomes and reduces variability in student performance. These findings underscore the potential of AR to revolutionize electronics education by offering more engaging and effective learning experiences. In conclusion, the integration of AR holds promise for improving electronics education and preparing students for the challenges of this dynamic field.

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 Keywords

Augmented Reality, Electronics Education, Learning Enhancement, Educational Technology, Interactive learning environments

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 Abstract

Abstract: Pregnancy-related sciatica, a common musculoskeletal complaint among expectant mothers, presents challenges for pain management due to limited treatment options safe for both mother and fetus. Yoga has emerged as a promising intervention, offering a holistic approach to pain relief while addressing the unique needs of pregnant women. However, existing literature on the efficacy of yoga for pregnancy-related sciatica is sparse and inconclusive. This study aimed to investigate the effectiveness of yoga as an adjunctive therapy for managing sciatic pain during pregnancy through a randomized controlled trial (RCT). One hundred pregnant women experiencing sciatic pain were randomly assigned to either a yoga intervention group or a control group receiving standard antenatal care. The yoga intervention consisted of supervised group sessions conducted twice weekly for 12 weeks, incorporating gentle yoga postures, breathing techniques, and relaxation exercises tailored for pregnant women. Results showed significant reductions in pain intensity, improvements in functional ability, and enhanced quality of life in the yoga intervention group compared to the control group. Participants in the yoga group reported a mean decrease of 3 points on a 10-point Visual Analog Scale (VAS) for pain intensity, along with significant improvements in functional ability (assessed by the Oswestry Disability Index) and quality of life (assessed by the Short Form Health Survey). No serious adverse events related to the yoga intervention were reported. These findings provide compelling evidence supporting the integration of yoga into prenatal care protocols as a safe and effective option for managing pregnancy-related sciatic pain. Further research is warranted to explore long-term effects and underlying mechanisms of action.

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Pregnancy, Musculoskeletal complaint,Yoga

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Sendhwa block of Barwani district is situated inside the western a part of Madhya Pradesh, India & the most fertile region. Lands are mainly rain-fed. the existing look at with geo-botanical approach has been performed in the district to collect facts on Foot and Mouth disease (FMDs)to include This examine looks at neighborhood use of (FMDs)accumulated from forest areas and trading of 24FMDs on the basis of field surveys and taxonomic identification of flora. It highlights the importance of expertise how tribal groups use forests, and the need to develop the targets of management of these forests to consist of a multiplicity of targets and merchandise with geo-botanical technique. It's far inhibited with the aid of tribal groups like Bhil, Bhilala, and Barela. An intensive and extensive plant survey of area turned into performed throughout 2021-2022 present look at observes 20 families and 24 genera and 24 species. The observe indicates the importance of information on the ethno veterinary plants which should be assigned to woodland lands .Tribal communities used those texa as FMDs in traditional way that is utilized in extraordinary types of sicknesses . Most frequently used plant species are Acacia nilotica (L.)Delile, Aegle marmelos (L.) Cor., Aristolochia bracteolata Lam., Azadirachta indica Juss., Barleria prionitis L.,Bauhinia variegata L., Curculigo orchioides Gaertn., Lawsonia inermis L., etc.Most of the cases plant decoctions as external wash are applied sometime chemicals like e-copper sulphate, salt, Kerosine are used as external washes. In some cases ethnovereinary and allopathy treatment have beentaken in combination.

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FMDs, Sendhwa, tribal communities, Bheel, Bhiala, and Barela.

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Anemia is a chronic blood condition marked by a deficiency of red blood cells or hemoglobin, which lowers the body's capacity to carry oxygen, which causes weakness and fatigue. This review goes over a number of anemia-related topics, such as types, causes, and symptoms. There are several different types of anemia, each with a distinctive etiology and clinical appearance. These include iron deficiency anemia, vitamin deficiency anemia, aplastic anemia, and hemolytic anemia. Timely diagnosis and therapy of symptoms like exhaustion, paleness, dyspnea, and vertigo depend heavily on the ability to identify them. This review covers herbal remedies for anemia in addition to conventional treatments, highlighting homeopathic treatments that have demonstrated potential in promoting healthy blood. Understanding the subtleties of anemia and exploring herbal remedies can enhance a comprehensive strategy for managing this common ailment, possibly providing supplementary or different options for enhancing hematologic well-being.

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- Anemia, Iron Deficiency, Hemoglobin, Fatigue, Hematologic Well-being, Etiology.

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Social media platforms have become transformative forces in the cosmetic industry, changing brand dynamics and customer behavior in the modern world. The impact of social media on the cosmetics industry is thoroughly investigated in this study, which looks into several areas including customer involvement, brand visibility, and developing trends. The research intends to disentangle the complex interactions between social media and the cosmetics business through a combination of academic research, industry insights, and empirical case studies. This will shed light on the tactics cosmetic brands use to effectively exploit digital platforms. This study focuses on one such factor - "Social Media in the cosmetic industry'' - which has been widely utilized by marketers in recent days to promote their products. It has been undertaken to gain insight into the different social media platforms and tools utilized by marketers to influence customers and the impact of these promotional activities on the behavior of a buyer. This research examines the dynamic social media trends in the cosmetic industry and fine beauty enthusiast platforms.

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Social media marketing, cosmetic industry, Customer Involvement, Digital platforms, Social media trends.

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 Abstract

The main objective of the robot's development is to monitor human activity in the battlefield or during rescue missions in order minimize enemy attacks. The robot is equipped with a wireless night vision camera that may broadcast videos of the battlefield to prevent any harm or loss of human life. The robot will function as an appropriate device for the military in order to decrease the number of fatalities and to stop criminal activity. Knowing the state of the area before entering it will be beneficial to all members of the armed forces and military. This can also be used to monitor dangerous conditions and save manpower in various rescue efforts.

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Battlefield, night vision camera, robot.

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Creative Commons Attribution 4.0 and The Open Definition

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In the current scenario, mostly the data are stored in digital media. Managing the storage and security of huge volume of data is emerging as a significant challenge for data science researchers and engineers. As data is considered as more costly and powerful than anything else, so during damage or loss of data thousands of dollars are being invested for data recovery. File caving is a technique used for data recovery from the file without the any contextual information when the storage media is formatted or file system got damaged. In this study, we have tried to describe the various types of file caving techniques and the tools used for file caving, along with their limitations and the categories of files which are supported along with the scenario for such recovery.

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Digital Forensic, File Carving, Data Recovery, File Carving Tools and Techniques

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Introduction - Otitis media is the inflammation of middle ear cleft. Otitis media is not only the most common bacterial infection in children, but also a leading cause of hearing loss in children. Main Complaint of Patient - A case of yellowish, offensive, bloody discharge from right ear on and off with itching. Diagnosis - Chronic Otitis Media. Intervention - After analyzing the symptoms presented by the patient, pulsatilla 200 was prescribed. Outcome - After prescribing Homoeopathic simillimum the condition of the patient improved and does not show any side effects. Conclusion - The author has tried to find out the scope of homoeopathic medicines in chronic Otitis media.

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Otitis media, Homoeopathic medicines.

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The world is changing day by day the technologies are also evolving. Various technological changes have been adapting to the military application. On the base of this technological changes and to address the modern threats faced by military, an advanced sensors equipped robot is introduced with features like landmine detection and utilizes sensors technologies such as metal detectors obstacle avoidance, as well as hazardous gas alerts. The robot can transmit real-time GPS coordinates when detecting a landmine and responding to SMS commands. Also, IR sensors are used to enhance situational awareness and threat detection capabilities.

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 Keywords

Autonomous Robot, Landmine Detection, IoT, Embedded Design, ESP32

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Analyzing e-commerce sentiments is crucial for businesses to understand customer emotions and opinions about their products and brand. Sentiment analysis, also known as opinion mining, is a process that involves natural language processing, machine learning, and data analytics techniques to extract insights from user-generated content. This analysis can help companies make informed decisions, improve their products and communications strategy, and gauge branded reputation among customers. Sentiment analysis can be applied to various types of data, such as social media conversations, product reviews, and customer support interactions. The analysis can be finegrained, focusing on specific aspects of the products or services, or multilingual, analyzing content in different languages. In e-commerce, sentiment analysis can be used to evaluate product reviews, sort data at scale, and provide real-time analysis of customer feedback. For instance, analyzing Amazon product reviews can help companies recognize what customers like about their products and identify primary issues. Similarly, analyzing movie reviews on Rotten Tomatoes can help production houses understand the general opinion of critics and influence the commercial success of a drama or movie.

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Deep Learning Techniques, Sentiment analysis Opinion mining Natural language processing (NLP) Machine learning Data analytics User-generated content Social media conversations Product reviews

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This paper presents a novel eLearning system designed to transform computer science education. By leveraging Augmented Reality (AR) and Virtual Reality (VR), the system creates an engaging and interactive learning environment. It departs from traditional methods by allowing students to interact with 3D models, simulations, and receive real-time feedback within a virtualized setting. The paper delves into the design, development, and assessment of this eLearning system, highlighting its potential to significantly enhance students' grasp of intricate computer science concepts and their practical applications.

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Virtualarvr

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 Abstract

A successful lawyer must be able to advocate for themselves without harming the rights of others. The role of an assertive lawyer is to help the client assert themselves, to make sure they are heard by the court and the opposing party, so that their interests are fully considered and factored into any final result. The present research was designed to study the gender differences of assertiveness: adaptive and aggressive, in law students. For this, a sample of 95 responses (51 females and 44 males) were collected. The participants were administered the Adaptive and Aggressive Assertiveness Scale (AAA-S) developed by Renee J. Thompson & Howard Berenbaum in 2011. The results showed significant differences among female and male law students, where male law students scored higher in both, adaptive and aggressive assertiveness than female law students. The implications and limitations were also discussed and more possible studies were suggested.

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Law students, Gender difference, Aggressive assertiveness, Adaptive assertiveness.

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This study aimed to develop and assess the efficacy of an anti-bacterial toothpaste formulated with Myristica fragrans against oral pathogens. The toothpaste was prepared using standard procedures, incorporating Myristica fragrans extract known for its antibacterial properties. Various parameters including pH, viscosity, and antibacterial activity against common oral pathogens such as Streptococcus mutans, Lactobacillus acidophilus, and Porphyromonas gingivalis were evaluated. The results demonstrated that the formulated toothpaste exhibited desirable physical characteristics and significant antibacterial activity against tested oral pathogens. Myristica fragrans extract effectively inhibited the growth of these bacteria, suggesting its potential for oral care applications. Therefore, this study suggests that Myristica fragrans could be a promising natural ingredient for the development of effective anti-bacterial toothpaste formulations targeting oral health.

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Toothpaste, Myristica fragrans

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Creative Commons Attribution 4.0 and The Open Definition

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Employee turnover is a costly problem for companies. The actual cost of replacing an employee can often be quite high. This is due to the time spent interviewing and finding a replacement. By understanding why and when employees are most likely to leave the company, steps can be taken to improve employee retention. We will try to solve the following problem statement: To use machine learning algorithms to determine whether an active employee leaves the company, identify the key indicators of an employee leaving the company and recommend policies or strategies that can be adjusted based on the results to improve employee retention There are several areas where organizations can use technology for decision support: Artificial intelligence is one of the most innovative technologies that is widely used to help organizations in with business strategies, organizational aspects and human resource management. In recent years, human resources (HR) have received increasing attention, as the quality and qualifications of the workforce represent a growth factor and a real competitive advantage for companies. After its introduction into sales and marketing departments, artificial intelligence will also be used in human resources management to control employee-related decisions. The purpose is to support decisions based not on subjective aspects but on objective data analysis.

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e-evaluation, natural language processing, latent semantic analysis, plagarism, steaming, detection, analyzing

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This study examines the effect of using an "optimized triple mix" (OTM) on the properties of recycled asphalt pavement (RAP) aggregate concrete (RAPC) and "Abrasion and Attrition" (ABTRAP) aggregate concrete (ABTRAPC). The OTM approach involves coating the RAP aggregate with pozzolanic materials to reduce porosity and increase the C-S-H content, which improves the interfacial transition zone (ITZ). In both RAPC and ABTRAPC mixes, 10% of ordinary Portland cement (OPC) is replaced with silica fume. The laboratory tests showed that the OTM approach improved the compressive strength, flexural strength, and split tensile strength of RAPC and ABTRAPC mixes compared to the standard mix approach. The 50ABTRAPC mix prepared by the OTM approach exhibited better compressive strength, flexural strength, and split tensile strength than natural aggregate concrete (NAC). The cost analysis revealed that the 100ABTRAPC mix cost per 1 m3 of concrete was 9.793% less than NAC.

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- Recycled Asphalt Pavement (RAP); Recycled Asphalt Pavement Aggregate Concrete(RAPC), RAP Aggregate Treated by Abrasion & Attrition Technique" (ABTRAP), ABTRAP Aggregate Concrete Containing 10% Silica Fume - (ABTRAPC

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The Face ID Attendance System utilizes advanced facial recognition algorithms to accurately identify individuals and record their attendance.

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 Keywords

Python, Opencv, Streamlit, AWS,

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This comprehensive documentation offers a thorough examination of the Academy Learning Management System (LMS), a potent tool designed to revolutionize the way that education is imparted. It meets the different needs of teachers, administrators, and students and serves as a roadmap for making the Academy LMS as efficient as possible. Administrators are provided with guidance at every stage of system setup, configuration, and user administration, ensuring a seamless integration into pre-existing educational environments.

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Learning , System , Collaboration

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Creative Commons Attribution 4.0 and The Open Definition

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Citizens in India have a duty and a right to vote, but the fundamentals of democracy are being called into question by the alarming drop in voter turnout. The old system, which requires actual presence, risks vote tampering and excludes a large number of people, particularly the physically impaired and those living in remote cities. By incorporating Aadhar-linked biometrics, such as fingerprint and facial scans, Secure Vote provides a novel way to strengthen the democratic process. This breakthrough uses face and fingerprint detection to reduce false votes, improving voting security and accuracy with LBPH (Local Binary Pattern Histogram) algorithms. But protecting privacy, safeguarding data, and accommodating those without Aadhar present significant issues that need to be resolved if this revolutionary strategy to strengthen democracy is to succeed.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fingerprint , Facial recognition, Adhaar number

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Creative Commons Attribution 4.0 and The Open Definition