Volume 11 | Issue 6

 Abstract

Inherited retinal diseases cause several visual deficits in children. They often cause blindness in childhood. Machine learning is one of the most widely used concepts around the world. It will be essential in the healthcare sector as it is helpful for doctors to fasten the diagnosis. The objective of this paper is to build a Machine learning model for detection of genetic eye diseases. Based on the data obtained from pupillometer, the model predicts the presence of an eye disease. The proposed work deals with neural networks, a machine learning concept. We are implementing two algorithms-SVM (an existing model) and the other is a new way using ELM (Extreme Learning Machine) algorithm. We analyse and predict the result whether the patient has a retinal disease or no disease using this algorithm. ELM algorithm gives more accuracy for the prediction. This prediction will make the detection of disease faster. This model can be helpful to the medical practitioners at their clinic as a decision support system.

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 Keywords

Inherited disease, visual defects, infants, SVM, ELM,machine learning.

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Drowsiness describes the state of being drowsy or sleepy. A person experiencing drowsiness may feel tired or sluggish and have difficulty staying awake. According to Central Road Research Institute (CRRI),40% of road accidents are caused due to drive drowsiness.Nowadays, more and more professions require long-term concentration. Drivers must keep a close eye on the road, so they can react to sudden events immediately. Driver fatigue often becomes a direct cause of many traffic accidents. Therefore , there is a need to develop the systems that will detect and notify a driver of her/him bad psychophysical condition, which could significantly reduce the number of fatigue-related car accidents. Based on that large dataset, we developed and evaluated a feature selection method based on the YOLO algorithm for the driver's state classification.

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driver safety, drowsiness, computer vision, yolo model, deep learning.

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A method for designing an SSSC-based stabilizer to damp inter-area oscillations is proposed in this paper. To reach this goal, a novel objective function was employed. The displacement of critical modes and the gain (control cost) of the stabilizer are taken into account in the given objective function. In order to have an SSSC-based stabilizer with minimum phase structure, appropriate constraints are calculated and appended to the objective function. For the robust design of an SSSC-based stabilizer, different operating conditions are simultaneously considered. A hybrid optimization algorithm (hGWO-GA) is proposed by combining the grey wolf optimizer (GWO) algorithm and the genetic algorithm (GA). The proposed method was tested on two standard test systems of 4 and 50 machines. The eigenvalues analysis and nonlinear simulations prove that the introduced approach can efficiently enhance the damping of inter-area oscillations. The obtained results show the superiority of the SSSC phase-based stabilizer compared to the magnitude-based stabilizer in damping inter-area oscillations. The results also show that the performance of the proposed hGWO-GA optimization algorithm is superior to the GWO, GA, ACO, and PSO algorithms. Considering the uncertainties in the design process is the future scope of this work.

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Particle swarm optimization, transient stability, power system oscillations, SSSC.

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This research article delves into the advantages, difficulties, and approaches related to utilizing social media platforms for the improvement of English language communication skills. The study emphasizes the accessibility, interactivity, and authentic language usage offered by social media. It investigates how social media aids in language practice, interaction, and engagement, providing avenues for honing different communication skills. The integration of social media in language learning can be achieved through various strategies, such as employing discussion forums, blogs, microblogging platforms, audio, and video platforms, as well as incorporating social media assignments and projects into language courses

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: social media, English language learning, writing skills, communication, creativity

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This study has been undertaken to assess the knowledge and practice regarding measures used to prevent COVID-19 among school age children. The objectives of the study were to assess the existing knowledge of school age children regarding knowledge and practices of preventive measures of COVID-19, to evaluate the effectiveness of planned health teaching program in terms of gain in post-test knowledge and practice scores and to find the association between knowledge and practices of preventive measure of COVID-19 among the school age children with selected demographic variables. The research design used for the study was non experimental descriptive study and based on Ludwig's modified general system theory and nursing process. The review of literature consisted of studies relate to incidence of COVID-19 in school age children, predisposing factors, causes, and preventive measures of COVID-19 in school age children. The sample size was 60 school age children selected using simple random sampling technique. The tool consisted of section I with 10 items regarding demographic data, section II of 25 items regarding to knowledge aspects and section III of 15 items regarding practice aspects. The interpretation of data was done with the help of descriptive statistics. Major findings of the study reveal that 35% of them good knowledge, 63.33% had average knowledge and 1.67% had poor knowledge regarding COVID-19. After the administration of planned teaching program 98.33% of children gained good knowledge, 1.67% gained average knowledge. Analysis of practice scores revealed that 49.77% always used preventive measures, 22.67% used more often, 10.33% used rarely and 17.22% never practiced preventive measures. The study also revealed that there was significant association between demographic variables like age, parents' education status, type of family and source of information and the pretest knowledge scores of the school age children.

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Planned health teaching, Preventive measures, Covid-19, School age children.

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Acute kidney injury (AKI) is characterized by a rapid decline in kidney function, diagnosed by elevated levels of urea and creatinine or decreased urine output. This review article provides an overview of AKI, including its definition according to various criteria such as KDIGO. The epidemiology of AKI, etiological classifications (prerenal, intrinsic or renal, postrenal), pathophysiology, risk factors, clinical manifestations, and diagnostic approaches are discussed. Additionally, the article explores the treatment strategies for AKI, emphasizing the importance of maintaining renal perfusion, fluid resuscitation, electrolyte management, discontinuation of nephrotoxic medications, supportive therapies, and the use of renal replacement therapy when necessary.

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AKI ,CKD, CREATININE

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Development projects are very often linked with the problem of displacement. The development projects in India have affected the poor powerless people specially Women. Absence of adequate resettlement and rehabilitation policy for the displaced has led to further pauperisation marginalization and helplessness among oustees. The study has made an attempt to find out the development-induced displacement. The main focus is on its impact on displaced persons particularly on displaced women. The sources of data are secondary one. The secondary data are collected from articles, seminars papers, books and news reports published in different news papers.

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Development induced Displacement, Internally displaced person, Project affected people, Resettlement, Rehabilitation

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Cancer is the second leading cause of death worldwide and its treatment still represents a major challenge as cases continue to increase. Since the earliest medical records were kept, cancer as a disease has been described in the history of medicine. "Edwin Smith" and "George Ebers" papyri, contain descriptions of cancer written around 1600 B.C. Neoplasia (neo = new, plasia = tissue or cells) or neoplasm literally means new tissue in Greek. Lipid based nanoparticles provide the prospect of developing novel treatments owing to their unique size related characteristics. The process of integrating medicines into nanomedicines provides a novel drug discovery concept that might be used for therapeutic targeting. LBNPs advantages include high temporal and thermal stability, high loading capacity, ease of preparation, low production costs, and large-scale industrial production since they can be prepared from natural sources. LNPs(Lipid nanoparticles) are legitimate particulates (approx. 100 nm in size) gathered from various lipid as well as other biochemical compounds which overall functionality to resolve biological barriers (biobarriers), allowing LNPs to selectively collect somewhere outside of disease-target cells again for responsive therapeutics. Most pharmaceutically important compounds were insoluble throughout water solutions, were chemical & physiologically unstable, or have toxicities. Moreover, the association of chemotherapeutic agents with lipid nanoparticles reduces active therapeutic dose and toxicity, decreases drug resistance and increases drug levels in tumor tissue by decreasing them in healthy tissue. LBNPs have been extensively assayed in in vitro cancer therapy but also in vivo, with promising results in some clinical trials. LBNPs were widely studied in cancer treatment, both in vitro and in vivo, with encouraging outcomes in certain clinical trials. This study provides an overview of the many types of LBNPs which have been created in latest years and their applications and contributions in different types of cancers

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Keywords: Oral; Delivery; Nanoparticles; Size; Controlled Release

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Based on traditional PID control and nonlinear components, this research provides an optimum fuzzy proportional-integral-derivative (PID) controller architecture. Because of the similarity between fuzzy logic controllers (FLCs) and traditional PID controllers, a typical PID controller design may be quickly turned into an equivalent FLC by defining the controller's working ranges. The suggested nonlinear factors can be used to fine-tune the nonlinearity of the membership functions (MFs) that are dispersed throughout the operational ranges. In this approach, a fuzzy PID controller with fewer parameters may be built and optimized using the genetic algorithm (GA). Furthermore, the aforementioned corresponding FLC can operate as one member in the initial GA population, considerably improving GA efficiency. The simulation results show that this strategy is feasible. This resulted in an ideal fuzzy PID controller design with only eight parameters and a compact controller layout, as well as a more systematic optimal fuzzy PID controller design.

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equivalence; optimal; fuzzy PID controller; genetic algorithm

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The covid-19 pandemic has prompted a great deal of interest in online shopping for clothes. We have explored different methodologies for virtually replicating the experience of a clothes fitting room using Augmented Reality. We have developed a web-application that allows potential customers of fashion ecommerce to virtually try-on a particular outfit of their choosing via input from their webcam. Our application breaks down this problem into two processes: pose-estimation via the PoseNet 2.0 tenserflow.js library, and 3D model animation using the three.js library. We have briefly explained these processes along with suitable illustrations. This research paper provides a brief idea about virtual cloth fitting using the technology known as augmented reality.

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10000

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To untangle the mechanisms that regulate gene expressions is still a vital challenge in biology that biologists face today. A significant task in this challenge is to recognize regulatory motifs or elements. The Regulatory motifs in DNA sequence discovery are a primary step in many systems for studying gene function. Regulatory Motifs are interpreted as short (6-8 bases long), repetitive patterns that have well-defined biological functions and features. As per early discussion, genetic activity is monitored in response to environmental changes. Regulatory Motifs are in charge of recruiting Transcription Factors, or regulatory proteins, to the required gene. Motifs are also recognized by micro RNAs, which bind the motifs given through nucleotide, that recognize motifs based on their GC content; and other RNAs, which use a combination of DNA sequence and structure. Once bound, they can activate or subdue the expression of the associated gene. With the current mathematical abilities, regulatory motif discovery and analysis have proceeded in the field of genomic studies. This paper presents a generalization of motif discovery algorithms with new sub-categories that facilitates creating a successful motif discovery algorithm. It also presents a summary of the comparison between them.

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Motifs, Nucleotide Transcription factors, RNA, Splicing signals

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Nature plays a very huge part in the novel The Old Man and The Sea. Santiago and marlin had fought very terribly. The old man totally depends on the nature because it provides his livelihood. The relation between Marlin and Santiago is more like a friendship. This novel also explains on the point of "survival of the fittest".

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Man, Nature, Marlin, Struggle, Old man, Sea, Shore, Skeleton, survival of the fittest.

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This article briefs the journey of law for Surrogacy in India. How Surrogacy was practiced when there was no codified law particular for medically assisted reproductive technologies in India? 'Assisted reproductive technologies (ART)' were invented to help issueless couple people to beget their own child. In Surrogacy arrangement a women carries and delivers a child for another couple or person. A number of issues were raised against the Surrogacy especially commercial surrogacy but Surrogacy gained popularity worldwide and India became 'Surrogacy Capital' 'Surrogacy Hub' in the world. In 2014 ART industry was about 25000 crore rupees industry . In the absence of guidelines and legislation, malpractices by the ART clinics were prevailing in India. In 2005 ICMR issued the guidelines for the first time in India to regulate and control practice of Surrogacy. In Jan Balaz case Supreme Court asked Government to enact proper codified law in order to stop the malpractices and negative implication of Surrogacy in India. Government of India drafted a bill viz. The Assisted Reproductive Technologies Bill 2008 to regulate all kinds of Assisted Reproductive Technologies (IVF, Sperm Donation, Embryo Transfer, Surrogacy etc.) in India. Law Commission of India presented its 228th Report on contemporary situations and condition of Surrogacy arrangement and suggested some amendments. This paper also briefly highlights The Assisted Reproductive Technologies Bill 2008, The Assisted Reproductive Technologies Bill 2010, The Assisted Reproductive Technologies Bill 2012, The Assisted Reproductive Technologies Bill 2014, The Surrogacy (Regulation) Bill 2016, The Surrogacy (Regulation) Bill 2018, The Surrogacy (Regulation) Bill 2020 and the Bill which finally turned into Act carrying the name 'The Surrogacy (Regulation) Bill 2021'.

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#surrogacy #surrogacylaws #icmrguidelines #surrogacybills #surrogacyact2021

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Embryo grading is a tool that helps embryologists and physicians during an in vitro fertilization (IVF) treatment to determine, exactly which embryos to transfer, the optimal day of transfer and the appropriate number of embryos. To overcome infertility problems, IVF technique is used. In this paper, observe a new method for assessing blastocyst quality using a deep learning approach. Through a comprehensive review, we have to discovered multiple approaches of implementing deep learning techniques, each of them having varying degrees of success. For constructing automated systems to find best embryo for implantation, this system can evaluate and give explanations and comments the development stages of an embryo.

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deep learning, neural network, generative adversarial network, synthetic images, SSS-Net

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Dielectric superstrates influence on main characteristics of circular microstrip patch antenna with and without superstrate is investigated. The main characteristics of microstrip antennas are resonance frequency, input impedance, bandwidth, beamwidth, gain, VSWR is investigated. The comparative analysis of the microstrip antennas characteristics with superstrate and without it is carried out.

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Dielectric superstrate, resonant frequency, microstrip antenna.

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 Abstract

The duration of a construction project is significantly influenced by the formwork system, which is a crucial component. It utilizes a range of materials, including timber, steel, aluminum, plastic, and more. This structure needs to possess adequate strength to support both the weight of the materials used during the casting process, as well as any additional loads until the concrete sets and achieves a certain percentage of its intended strength. The selection/design of a formwork system for a project is influenced by the building design, site conditions, available resources, the contractor's experience with different systems, and their availability. The selection of a formwork system is made by a senior member of the contractor's organization. In the construction of traditional Reinforced Cement Concrete (RCC) buildings, the expenses associated with formwork play a significant role. Based on a rough estimate, formwork costs can range from 40 to 60 percent of the total cost of the concrete frame, making it approximately equal to 10 percent of the overall cost of the entire building structure. The aim of this research is to examine the factors that impact the choice of formwork system. By conducting a questionnaire survey, both Conventional (traditional) and modular formwork systems are analyzed in order to evaluate the factors involved in their selection. When evaluating various formwork systems like traditional formwork, Peri, Mivan and Doka. Several essential aspects were taken into account including cost, quality, cycle time, number of repetitions, and safety. This research study aims to assist construction project contractors in making informed decisions when choosing a formwork system that is both safe and cost-effective for concrete construction purposes.

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Formwork Selection, Conventional Formwork System, Modular Formwork System, Peri, Mivan.

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Yoga is an in-depth, holistic improvement and science of controlling the thoughts, thus it is the only science that deals simultaneously with all aspects of the philosophy, psychology and practicality of conscious evolution. The goal of the study is to evaluate the conclusions that therapeutic effects of yoga and to give a detail analysis that, how yoga can improve the quality of life. Health care practitioners should be aware of the nature of yoga and the evidence of its various therapeutic effects as participation rates in mind body fitness programs like yoga camp. As a result, this paper provides details on the therapeutic benefits of yoga, which have been researched in numerous populations in relation to a wide range of different diseases and disorders. The tools and technology of yoga are discussed along with important aspects of the integration of yoga and modern scientific medicines. According to its definitions therapeutic yoga involves instruction in yogic teachings and practices prevent, reduce or eliminate structural, physiological, emotional and spiritual pain suffering or limitations. It also involves the application of yogic posture and practices for the treatment of better health. Thus it shows that yoga as a holistic development which improves overall health and quality of life by increasing muscular strength, power, flexibility and also improving respiratory and cardiovascular function assisting in the treatment of addiction recovery, reducing stress and anxiety, decreasing the perception of depression, improving the sleep-quality and generally enhancing well-being. Overall, the research suggests that the practice of yogic techniques and therapies can be a powerful tool for improving quality of life and promoting overall health and well-being.

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Therapeutic-Yoga, Holistic Development, Anxiety.

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In order to estimate depth from a single image without labelled training data, unsupervised monocular depth estimation is the topic of this project. The model gains insight into depth cues from the structure and look of the images by using unsupervised learning algorithms. CNNs and GANs are examples of deep neural networks that iteratively train depth maps. This method is scalable and practical because it does not require human depth annotation. The findings improve depth perception in a variety of applications and have important implications for autonomous navigation, 3D reconstruction, and augmented reality.

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Machine learning, Deep Learning, Depth Estimation, Unsupervised Learning, Emerging Technologies, Python.

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Reinforced concrete is one of the most common materials used by the construction industry worldwide. The raw materials for its construction are widely available and the structures constructed are generally durable. Due to the wide variety of applications, strong concrete structures are vulnerable to a range of threat conditions, including marine, industrial or other critical environments. In fact, the need for high durability is not always achieved in practice due to which the corrosion of reinforcement in concrete occurs which is one of the main causes of deterioration in the RC structure. Corrosion of Reinforcement has been widely reported and is one of the main causes of durability threat in R C structures. In the present study an experimental investigation was carried out on flexural strength of M 20 grade corroded reinforced concrete beams at three different corrosion levels (5 %, 10% and 15%) and results obtained are compared with a non-corroded reinforced beam of similar configuration. It is found that initially (on 5% corrosion) the rate of reduction of ultimate flexural strength is more as compared to more corroded beams (10 % and 15 %).

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Reinforced Concrete beam, chloride induced corrosion, flexural strength, two-point loading

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The education background in India has perceived a tectonic shift this past year with the impact of the pandemic and the distressing second wave that hit closer to home. As schools and colleges across the country were suddenly mourning of the usual student conversation and in-person classroom lectures, India comprised a new age of remote learning with noteworthy speed and commitment. Curriculums were twisted almost overnight, teachers upskilled, and students adapted to the 'new normal'. What one assumed was a 'quick fix', has become the norm for the past year and a half, and it seems it is here to stay with many learning institutions adopting the fusion model. Thus, digital learning will continue to be the all-encompassing trend as we enter the new time, as well as learning gaps such as assessment effectiveness and curriculum efficacy taking centre stage.

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Indian Education Industry

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