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The objective of this article is to study the compartmental modeling approach for the prediction of unreported cases of coronavirus disease 2019 by considering six compartments. Our model is described by a system of six ordinary differential equations with initial conditions. The basic properties of solution of the model are established. The model is shown to have two equilibrium points, i.e., the disease-free and endemic equilibrium points. The basic reproduction number R0{R}_{0} is derived by the next-generation matrix method. Stability analysis is carried out in the study. Furthermore, sensitivity analysis is also performed to identify the impact of important parameters that significantly affect R0{R}_{0}. Numerical simulations provide a good approximation model for COVID-19, which will be utilized to investigate future pandemic with similar nature of spread as COVID-19 and estimate the number of unreported cases worldwide.

Sarath S Nair,1 Jyothi Nagesh,1 Shambhavi C,2 Anshul Singh,1 Shirley Lewis,1 Umesh Velu,1 Deepika Chenna3 1Department of Radiation Oncology, Kasturba Medical College Manipal MAHE, Manipal, Karnataka, India; 2Department of Medical Radiation Physics Program, MCHP Manipal, MAHE, Manipal, Karanataka, India; 3Department of Immunohematology and Blood Transfusion, Kasturba Medical College Manipal MAHE, Manipal, Karnataka, IndiaCorrespondence: Jyothi Nagesh, Email jyothi.nagesh@manipal.eduObjective: To identify a suitable approach for blood irradiation other than the commonly used water medium and to study the impact of different algorithm dose computations.Methods: Water is the commonly used medium for blood irradiation. In this study computed tomography scans were taken with locally made blood irradiation phantoms other than water, by using air, rice powder and thermocole using parallel beam for 25 Gy. Plans were recalculated for different algorithms such as collapsed cone (CC), Monte Carlo (MC) and pencil beam (PB). The dose–volume parameters and measured doses were collected and analyzed for each medium and algorithm.Findings: The monitor unit (MU) for rice powder and water are close (2461± 57 and 2469± 61, respectively), with a maximum dose of 28.0± 1.8 and 28.0± 1.9 Gy. The PB algorithm resulted in lower monitor unit values regardless of the medium used, generating values of 2418, 2406, 2382, and 2362 for water, rice powder, air, and Thermocol, respectively. A significant increase in dose was observed irrespective of the medium used when the MC algorithm was employed, with a maximum of 30.26 Gy in rice powder; a smaller dose was used when the CC algorithm was employed, with 26.3 Gy in water medium. The average maximum doses of all groups were equal using the one-way Anova statistical test. Regarding the impact of field size, rice powder appears to have consistent doses across various field sizes, with slight increases as field size grows, which is similar to water.Novelty/Applications: While water is the conventional medium, this study highlights the potential benefits of rice powder, such as eliminating the risks associated with bubble formation and water spillage, which can lead to equipment malfunction and safety hazards. Although previous studies have explored rice powder as a bolus and tissue-equivalent material, this study uniquely applies this knowledge to blood irradiation, an area where rice powder has not been thoroughly investigated.Keywords: computed tomography, collapsed cone, Monte Carlo, pencil beam, monitor units, MU, treatment planning station.

Abhay Kumar Yadav,1 Nitish Kumar Singh,1 Ankur Singh,2 Ashish Ashish,3 Suchitra Singh,1 Sachchida Nand Rai,4 Santosh Kumar Singh,4 Royana Singh1 1Department of Anatomy, Institute of Medical Science, Banaras Hindu University, Varanasi, UP, 221005, India; 2Department of Pediatrics, Institute of Medical Science, Banaras Hindu University, Varanasi, UP, 221005, India; 3Multidisciplinary Research Unit, Institute of Medical Science, Banaras Hindu University, Varanasi, UP, 221005, India; 4Centre of Experimental Medicine and Surgery, Institute of Medical Science, Banaras Hindu University, Varanasi, UP, 221005, IndiaCorrespondence: Royana Singh, Department of Anatomy, Institute of Medical Science, Banaras Hindu University, Varanasi, UP, 221005, India, Email royanasingh@bhu.ac.inPurpose: Short stature is prevalent among children worldwide, particularly in developing countries. Various trace elements, including zinc, magnesium, iron, copper, chromium and selenium, are crucial for proper body development. The aim of this study is to explore the relationship between trace elements and TNF-α and IL-6 to elicit and possible pathway responsible for short stature.Methods: Two hundred and twenty samples were recruited for this study, 100 short statures and 120 controls were randomly selected. Six trace elements were measured using graphite furnace atomic absorption spectrometry. The concentrations of IL-6 and TNF-α in serum were assessed utilizing the Enzyme-Linked-Immunosorbent Assay (ELISA). Superoxide dismutase was also analysed to determine the oxidative stress response.Results: The study revealed notable distinctions in serum trace element levels of short stature. They exhibited significant lower levels of zinc and magnesium, alongside higher levels of copper. The altered Cu/Zn ratio seemed to have a positive correlation with short stature. Conversely, no significant disparities were observed in iron, chromium, and selenium levels. Furthermore, a significant rise was noted in proinflammatory marker TNF-α and cytokine IL-6. Additionally, superoxide dismutase was low in the short statures In silico study shows a high affinity of Zinc with TNF alpha. It may be suggested that inflammation at any time during childhood, with the rise in TNF alpha tightly binds with zinc and may have led to a decrease in zinc serum levels, altered redox homeostasis and resulted in short stature.Conclusion: The altered Cu/Zn ratio along with high TNF alpha and IL6 may be used as a marker for short stature in the initial years of growth in children before they reach maturity at the age of 18. Thereafter, introducing zinc supplementation could potentially enhance stature by mitigating TNF-alpha level. Further experimental studies will help to establish the exact role of zinc with TNF alpha in short stature.Keywords: short stature, zinc, trace element, superoxide dismutase and inflammation

This article depicts the heat and mass transport of the double-diffusive convective flow of Walter-B viscoelastic fluid in highly permeable porous media with an internal heat source. We used weakly nonlinear analysis to quantify the nature of heat and mass transport using the Ginzburg–Landau equation. The Ginzburg–Landau equation has been derived in terms of the amplitude of the stream function. The effect of physical parameters has been examined on Nusselt and Sherwood numbers, which has represented graphically. According to the boundary condition, we have discussed the four scenarios based on the phase angles. Our study has demonstrated that internal heat plays a significant role in heat transfer processes. Furthermore, the elastic parameter leads to a transient augmentation in the heat and mass transfer rate. The main output of the current study is that the highest transport was found when both the modulations were put in out-phase condition (Scenario 1).

The study examined the loan repayment behavior of beneficiary farmers in Primary Agricultural Cooperative Societies in the State of Haryana, India.

Acne scars can greatly impact patient quality of life. While treatment options have included mi- croneedling, the recent addition of platelet-rich plasma (PRP) to this regimen has led to an increased popularity of combination treatment. Here, we aimed to review the efficacy of microneedling and PRP therapies and review the literature on combination treatment for acne scars.

Objective: This study aimed to evaluate the effect of different recycling (also known as reconditioning) methods on the shear bond strength (SBS) of ceramic brackets.Methods: Fifty mechanically retentive polycrystalline ceramic brackets and 50 mandibular bicuspids were used in this study. The teeth were divided into 5 groups and bonded with new (group 1) or reconditioned brackets. The reconditioning methods were sandblasting (group 2), sandblasting + silane (group 3), hydrofluoric (HF) acid + silane (group 4), and Er:YAG laser (group 5). The SBS of brackets were assessed and the adhesive remnant index (ARI) scores were determined. Statistical analysis was performed using one-way ANOVA, Tukey, and chi-square tests at P

Manish Thapar,1 Akash Singh,2 Kevin M Robinson,3 Herbert L Bonkovsky4 1Division of Hepatology, Jefferson- Einstein Medical Center, Philadelphia, PA, USA; 2Department of Medicine, Jefferson- Einstein Medical Center Montgomery, East Norriton, PA, USA; 3Department of Medicine Jefferson- Einstein Medical Center, Philadelphia, PA, USA; 4Division of Gastroenterology and Hepatology, Wake Forest University School of Medicine/NC Baptist Hospital, Winston-Salem, NC, USACorrespondence: Manish Thapar, Division of Hepatology, Jefferson-Einstein Medical Center, 5401 Old York Road, Philadelphia, PA, USA, Email manish.thapar@Jefferson.eduAbstract: Porphyrias are, for the most part, inherited disorders of the heme biosynthetic pathway which lead to accumulation of specific intermediates responsible for most of the symptoms and signs of biochemically active disease. Acute hepatic porphyrias usually come to clinical attention primarily in women in their reproductive years who present with episodic, severe, generalized abdominal pain. Such acute attacks may also be associated with tachycardia, systemic arterial hypertension, hyponatremia, recent history of dark reddish to brownish urine, and anxiety, delirium, and sensory or motor neuropathies. Diagnosing AHPs is often challenging, requiring a high index of suspicion and the appropriate testing showing elevated ALA and/or PBG in a random urine specimen. Obstacles to diagnosis include inappropriate testing for porphyrins only, inadequate sample handling, and ordering genetic testing as the initial diagnostic test. While some of these pitfalls in diagnosis are surmountable with current knowledge, others are in need of more research.Keywords: porphyria, diagnosis, porphyrins, ALA, PBG, misdiagnosis, obstacle to diagnosis, acute intermittent porphyria, secondary coproporphyrinuria

Arid region is characterised by extreme climatic condition, poor soil health and over-exploitation of natural resources. Under prevailing conditions of arid India, Ficus carica is an emerging fruit crop with high commercial value and nutritional significance. Phenological study plays an important role in ensuring efficient crop management practices, but such studies in fig have not yet been conducted in India. The present study was conducted with an aim to define and describe phenological stages of common fig cultivar ‘Diana’ in arid regions according to the Biologische Bundesanstalt, Bundessortenamt und Chemische Industrie (BBCH)-scale using two-digit numerical system. The BBCH scale markedly explains various developmental stages of crops. Seven principal growth stages, viz. bud development (0), leaf development (1), shoot development (3), inflorescence development (5), flower development (6), syconium (fig receptacle) development (7) and fruit maturation (8), and 25 secondary growth stages of fig have been described. The sequential progression of principal growth stages of fig indicated temporal variation in growth pattern as well as overlapping of secondary growth stages. Phenological description will act as a pragmatic approach to define growth stages in order to facilitate timely agronomic practices such as canopy management, nutrient management and irrigation scheduling, pest and disease management. Since fig is considered one of the important minor fruits of India, a detailed phenological description will be instrumental in enhancing its potential in arid and semi-arid regions.

Emergence of memory devices based on magneto-electric coupling leads us to investigate the dielectric and magneto-dielectric properties of U-type hexaferrites. (Ba1-3xSm2x)4Co2Fe36O60 ceramics, where x = 0.0-0.25, with the interval of 0.05, have been produced via auto combustion method and sintering at 1200°C. Every sample has an RЇ3m symmetric hexagonal structure, according to the XRD study. The samples with lower Sm content, i.e. 0.0 < x < 0.15 have better magnetic properties than the samples having 0.15 < x < 0.25. Impedance spectroscopy has been used to study dielectric characteristics. The sample with x = 0.15 at 1.2 T and 1000Hz showed maximum magnetization and a magneto-electric coupling accompanied by a magnetic coefficient of about 104.9%, which is very high in case of hexaferrites. Therefore, these results will be fruitful from the application point of view.

Emotional intelligence (EI) has been shown in earlier research to be crucial in determining how people proceed through life. Emotional intelligence (EI) is one of the most important determinants of how people relate to one another and feel.

Cancers are complicated sicknesses that happen because of many different things going wrong in cells, and as they get worse, the cells undergo many changes one after another. Nanomedicine is a new way to treat diseases like cancer. Tiny particles called nanoparticles have special properties that can help to treat diseases better than regular treatments. These particles are very small but have a lot of surface area, can carry different drugs, and can be designed to target specific areas. They can move around the body, go into cells, and release drugs slowly. Because of these benefits, nanoparticles could be better for cancer treatment. In this continuous research, we present a simple technique for the quick and single-step synthesis of ZnFe2O4/cellulose nanocomposites, employing the polymer cellulose. This method is not only cost-effective but also environment friendly. Scanning electron microscopy, powder X-ray diffraction, Fourier transform infrared spectroscopy, and the ultraviolet-visible (UV) spectrum were all used to examine the morphological, structural, and electrical properties of ZnFe2O4/cellulose nanocomposites. The nanocomposite derived from UV-DRS exhibits an optical energy bandgap of 1.8 eV. The mechanical strength of the composites gradually increases as ZnFe2O4 is added to the cellulose polymer matrix. These findings propose a straightforward and innovative approach to produce ZnFe2O4/cellulose nanocomposites that can serve as functional biomaterials. In addition, the ZnFe2O4/cellulose nanocomposite exhibits decreased antioxidant activity compared to ascorbic acid. ZnFe2O4/cellulose nanocomposite was found to have an IC50 of 49.64 g·mL−1. With an IC50 value of 55.91 g·mL−1, the synthesized ZnFe2O4/cellulose nanocomposites demonstrate significant cytotoxicity in a dose-dependent manner against the lung cancer cell lines A549. In conclusion, nanocomposites are potential materials for usage in biomedical applications due to their affordable production and mild magnetic sensitivity.

The four-dimensional food-web system consisting of two prey species for a generalist middle predator and a top predator is proposed and investigated. The middle predator is predating over both the prey species with a modified Holling type-II functional response. The food-web model is effectively formulated, exhibits bounded behavior, and displays dissipative dynamics. The proposed model’s essential dynamical features are studied regarding local stability. We investigated the four species’ survival and established their persistence criteria. In the proposed model, a transcritical bifurcation occurs at the axial equilibrium point. The numerical simulations reveal the persistence of a chaotic attractor or stable focus. The conclusion is that increasing the food available to the middle predator may make it possible to manage and mitigate the chaos within the food chain.

The study examined the market profile and status of Electronic National Agriculture Market (e-NAM) in Sirsa Agricultural Produce Market Committee (APMC) The study also analysed the arrival and price pattern of major agricultural commodities before and after the implementation of e-NAM in the study area.

Anguina tritici is the first plant-parasitic nematode described in literature, dating back to the year 1743. It is responsible for causing earcockle (seed gall) and tundu diseases in wheat and rye. Notably, this nematode has been observed to survive in an anhydrobiotic state for up to 32 years within wheat seed galls. These exceptional characteristics have inspired the sequencing of the A. tritici genome. In this study, we present the initial draft genome of A. tritici, obtained using the Illumina MiSeq platform with coverage of 60-fold. The genome is estimated to have a size of 164 Mb and comprises 39,965 protein-coding genes, exhibiting a GC content of 39.1%. The availability of this genome data will serve as a foundation for future functional biological investigations, particularly for genes whose functions remain unknown to this day.

Switching mechanism is adopted by predator populations when they are provided with two types of prey: susceptible and infected. In this study, we propose a modification of an eco-epidemiological model with the predator switching mechanism. In the presence of switching behavior, the existence of steady states and their stability have been discussed. The qualitative changes in the proposed model have been observed by the existence of transcritical and Hopf bifurcation. Numerical simulations are performed to support our numerical findings. In the context of species’ survival when disease is present in the system, it gives some theoretical views for eco-managers to understand the dynamics.

We aimed to explore the association of obesity and hypertension and further their association with AdipoQ gene polymorphism in North Indian postmenopausal women of Punjab.

The objective of the study was to identify the constraints in credit accessibility from Primary Agricultural Cooperative Societies in Haryana State, India.

Anguina tritici, the wheat seed gall nematode, causes the ‘ear-cockle’ or seed gall disease of wheat (Triticum sp.), leading to an extensive decline of yield (30–70%) in underdeveloped wheat cultivating countries of the world. The nematode is known to survive in anhydrobiotic conditions for up to 32 years. Here, we present the first transcriptome assembly of A. tritici, which will be a valuable resource for understanding the genes responsible for nematode survival and above-ground plant parasitism. The final 133.2 Mb assembly consists of 105606 open reading frames (including isoforms) with the following BUSCO scores against Nematoda database: 80.3% complete (16.4% single copy and 63.9% duplicated), 2.1% fragmented, and 17.6% missing.

Background: Despite significant strides in immunization coverage, Full Immunization coverage in urban areas of India lags behind rural regions, with Urban India recording 75.5% compared to 76.8% in rural areas. Additionally, the prevalence of zero-dose children is higher in Urban India (7.5%) compared to rural counterparts (6.3%). Urbanization introduces a complex dynamic marked by poverty, migration, and growing disparities in health access, social services, and economic resources that necessitate innovative strategies to address immunization inequities in urban settings. In this direction, the Government of Bihar in 2017 introduced the concept of Model Immunization Centers (MICs) to provide high-quality immunization services to urban poor and marginalized to improve coverage and build trust, confidence and motivation for public immunization services. Objectives: The primary objective of the study was to assess and identify the factors that shape the community’s acceptance and utilization of immunization services at MICs in Patna and Siwan. Methodology: A mixed-methods approach was employed, combining quantitative data analysis of immunization records and demographic information with qualitative assessments of community perceptions through in-depth interviews and focus group discussions. The study site i.e., Patna and Siwan Districts of Bihar was purposively selected. Results: The study found that the effectiveness of MICs was significantly influenced by family, community, and social norms. Additionally, MICs played a pivotal role in enhancing people’s trust, confidence, and motivation through the provision of a favourable environment, hygiene maintenance, the availability of free vaccines, reduced waiting times, and courteous staff behaviour. These factors have collectively led to improved immunization coverage, increased footfall, and improved rates of full immunization. Conclusion: The success of MIC in gaining people’s trust and confidence has been a driving force behind the increase in footfall coverage at session sites and high Full Immunization Coverage in Patna and Siwan

Mesotherapy is a popular novel therapeutic modality that delivers intradermal or subcutaneous microinjections of pharmaceutical compounds. Although this novel treatment method is used commonly in aesthetic dermatology, there is little information about the details of injections, efficacy, and side effects of mesotherapy in melasma. In this review, we evaluated the efficacy of various types of anti-pigmentation agents used with mesotherapy in the management of melasma.

Background and ObjectivesDermoscopy particularly could be helpful in patients with steroid damaged face to assess and look for the damage caused by the steroid creams as also in cases where the patient provides improper history. Materials and MethodsPatients attending to dermatology OPD with suspected/diagnosed TSDF between the ages of 18 and 60 years were enrolled and assessed on the basis of age, gender, residence, duration, potency, brand of application topical steroid creams, clinical and dermoscopic features. ResultsMajority abusing the topical steroid creams were females (n-14) with mean age with SD of 34 ± 11 and were from rural areas (57.8%). Red raised lesions were the most common clinical presentation (n-15) with telangiectasias as the most common dermoscopic feature (n-26). Triple combination creams containing hydroquinone 2%, tretinoin 0.025%, and 0.1% mometasone were on the top of the list (n-20). ConclusionIn this study, the importance of dermoscopy in assessing the features of topical steroid damaged face and preventing further damage is highlighted. Various factors causing topical steroid creams misuse and the easy availability of the creams is to be kept on check.

There is a connection between bioavailability and absorption. In the field of pharmacology, this is referred to as a category of absorption and is defined as the proportion of a particular dosage of a drug that does not change and is absorbed into the systemic circulation. Both the overall absorption of medications and their specific bioavailability are important factors to consider in treatment. In this paper, we will go into great detail about the bioavailability of phytochemicals. We will also discuss the factors that influence bioavailability, the processes that improve bioavailability, and the phytochemicals that act as important bio enhancers, which are agents that improve the bioavailability of drugs.

Sophie Goemans,1 Abhishek Singh,2,3 Ajit Kumar Yadav,4 Lotus McDougal,5 Anita Raj,5 Sarah H Averbach1,5 1Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA; 2Department of Public Health & Mortality Studies, International Institute for Population Sciences, Mumbai, Maharashtra, India; 3Centre of Demography of Gender, International Institute for Population Sciences, Mumbai, Maharashtra, India; 4GENDER Project, International Institute for Population Sciences, Mumbai, Maharashtra, India; 5Center on Gender Equity and Health, University of California San Diego, La Jolla, CA, USACorrespondence: Sarah H Averbach, Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, 9300 Campus Point Drive, San Diego, CA, MC 7433, USA, Tel +1 858-249-1205, Fax +1 858-657-7212, Email saverbach@health.ucsd.eduPurpose: To examine the association between self-managed abortion and the self-reported experience of abortion complications in India, a country with a high incidence of self-managed abortion.Patients and Methods: The study used a cross-sectional multivariable logistic regression analysis of data from the National Family Health Survey (NFHS-4) of 2015– 2016 to compare the odds of self-reported complications experienced during abortion between self-managed and clinician-managed abortions in India.Results: On average, self-managed abortions occurred earlier in gestation than clinician-managed abortions, 7.8 weeks and 11.3 weeks, respectively (p < 0.001). Self-managed abortion was associated with fewer self-reported abortion-related complications than clinician-managed abortions when adjusted for covariates not including gestational age (Adjusted Odds Ratio (aOR) 0.82, 95% confidence interval (CI) 0.69, 0.97). However, once adjusted for gestational age, there was no longer a clinically meaningful or statistically significant difference in the odds of self-reported complications between self-managed and clinician-managed abortions (aOR = 0.98, 95% CI 0.81, 1.18).Conclusion: These findings suggest that people in India are using safe methods to self-manage abortions and support the hypothesis that self-managed abortion can improve access to abortion and reproductive choice without increasing risk.Keywords: reproductive autonomy, reproductive choice, self-use, medication abortion, misoprostol, mifepristone

In accordance with the inability of various hair artefacts subjected to dermoscopic medical images, undergoing illumination challenges that include chest-Xray featuring conditions of imaging acquisi-tion situations built with clinical segmentation. The study proposed a novel deep-convolutional neural network (CNN)-integrated methodology for applying medical image segmentation upon chest-Xray and dermoscopic clinical images. The study develops a novel technique of segmenting medical images merged with CNNs with an architectural comparison that incorporates neural networks of U-net and fully convolutional networks (FCN) schemas with loss functions associated with Jaccard distance and Binary-cross entropy under optimised stochastic gradient descent + Nesterov practices. Digital image over clinical approach significantly built the diagnosis and determination of the best treatment for a patient’s condition. Even though medical digital images are subjected to varied components clarified with the effect of noise, quality, disturbance, and precision depending on the enhanced version of images segmented with the optimised process. Ultimately, the threshold technique has been employed for the output reached under the pre- and post-processing stages to contrast the image technically being developed. The data source applied is well-known in PH2 Database for Melanoma lesion segmentation and chest X-ray images since it has variations in hair artefacts and illumination. Experiment outcomes outperform other U-net and FCN architectures of CNNs. The predictions produced from the model on test images were post-processed using the threshold technique to remove the blurry boundaries around the predicted lesions. Experimental results proved that the present model has better efficiency than the existing one, such as U-net and FCN, based on the image segmented in terms of sensitivity = 0.9913, accuracy = 0.9883, and dice coefficient = 0.0246.

In every network, traffic anomaly detection system is an essential field of study. In the communication system, there are various protocols and intrusions. It is still a testing area to find high precision to boost the correct distribution ratio. Many authors have worked on various algorithms such as simple classification, K-Means, Genetic Algorithm, and Support Vector Machine approaches, and they presented the efficiency and accuracy of these algorithms. In this article, we have proposed a feature extraction technique known as “k-means clustering,” which has its roots in signal processing and is employed to divide a set of n observations into k clusters, each of which has its origin from the observation with the closest mean. K-Means method is applied in this study to investigate the stream and its implementation and applications using Python and the dataset on the KDDcup99. The effectiveness of the outcome indicates the planned work’s efficiency in relation to other widely available alternatives. Apart from the applied method, a web-based framework is designed, which can inspect an actual network traffic packet for identifying network attacks. Instead of using a static file for testing the network attack, a web page-based solution uses database to collect and test the information. Real-time packet inspection is provided in the proposed work for identifying new attacks.

This systematic review analyzes monosodium glutamate (MSG) in the Alzheimer’s disease-like condition to enhance translational research. Our review seeks to understand how MSG affects the brain and causes degenerative disorders. Due to significant preclinical data linking glutamate toxicity to Alzheimer’s disease and the lack of a comprehensive review or meta-analysis, we initiated a study on MSG’s potential link. We searched PubMed, ScienceDirect, ProQuest, DOAJ, and Scopus for animal research and English language papers without time constraints. This study used the PRISMA-P framework and PICO technique to collect population, intervention or exposure, comparison, and result data. It was registered in PROSPERO as CRD42022371502. MSG affected mice’s exploratory behaviors and short-term working memory. The brain, hippocampus, and cerebellar tissue demonstrated neuronal injury-related histological and histomorphometric changes. A total of 70% of MSG-treated mice had poor nesting behavior. The treated mice also had more hyperphosphorylated tau protein in their cortical and hippocampus neurons. Glutamate and glutamine levels in the brain increased with MSG, and dose-dependent mixed horizontal locomotor, grooming, and anxiety responses reduced. MSG treatment significantly decreased phospho-CREB protein levels, supporting the idea that neurons were harmed, despite the increased CREB mRNA expression. High MSG doses drastically lower brain tissue and serum serotonin levels. In conclusion, MSG showed AD-like pathology, neuronal atrophy, and short-term memory impairment. Further research with a longer time span and deeper behavioral characterization is needed.Systematic review registration: https://www.crd.york.ac.uk/prospero/, identifier [CRD42022371502].

Due to the highly volatile tendency of Bitcoin, there is a necessity for a better price prediction model. Only a few researchers have focused on the feasibility to apply various modelling approaches. These approaches may prone to have low convergence issues in outcomes and acquire high computation time. Hence a model is put forward based on machine learning techniques using regression algorithm and Particle Swarm Optimization with XGBoost algorithm, for more precise prediction outcomes of three cryptocurrencies; Bitcoin, Dogecoin, and Ethereum. The approach uses time series that consists of daily price information of cryptocurrencies. In this paper, the XGBoost algorithm is incorporated with an enhanced PSO method to tune the optimal hyper-parameters to yield out better prediction output rate. The comparative assessment delineated that the proposed method shows less root mean squared error, mean absolute error and mean squared error values. In this aspect, the proposed model stands predominant in showing high efficiency of prediction rate.

Background: Depression is among the most common mental health problems among people with chronic complications like type 2 diabetes mellitus is brought on by flaws in insulin secretion and activity; however, genetic factors also play a role in both insulin resistance and beta-cell failure, but environmental factors also play a role in aggravating both problems. The presence of depression in patients with type 2 diabetes may interfere with treatment and efficacy. This study aimed to determine the prevalence of depression in this metabolic variant clinical condition, type 2 diabetes mellitus, in major tertiary care hospitals in the South-Eastern Uttar Pradesh cities of Allahabad and Varanasi. Subjects and methods: For this study, 206 subjects with type 2 diabetes mellitus from rural and urban areas were recruited. Demographic, clinical, and diabetes-related data were collected using a semi-structured questionnaire. Depression was assessed using the Patient Health Questionnaire 9 (PHQ9), a standardized questionnaire developed in the United States and validated in the Indian population. Results: The prevalence of depression in diabetics in the community was 43.2%. The most common type of depression was mild (29.3%, 26), and the least common was severe depression (3, 3.37%). Several factors were associated with depression in the female gender: living in a rural area, unemployment, and being single. The complications of diabetes and other chronic conditions, such as hypertension and obesity, are also associated with depression. Conclusion: Depression was found to be particularly high in the study population. Because depression can significantly impede patient adherence to treatment, there is an urgent need for early diagnosis and treatment. This requires integrating mental health care for diabetes patients.

Ego lane detection is one of the key techniques in Ego Lane Analysis System (ELAS) implemented in smart autonomous driving cars for lane detection in roads. This technique has been extensively studied in recent years because of its accurate and robust detection of shape and location of lanes. The conventional methods are less robust and computationally expensive since they have several challenges in localization of lanes due to presence of occlusions on roads. So to avoid these issues, this paper uses a novel 2-stage lane detection method using deep convolutional neural network to detect the lanes and its key-points by optimally fit a curve to the lane to compensate on above mentioned issues. The proposed methodology for lane detection predicts the key-points accurately and it robust under various weather conditions and highway driving scenarios. In terms of performance, this technique is fast and robust with low computational cost and has high performance when deployed on autonomous vehicle-based systems.

Cesar Giron‐Hernandez,1 Joong Hee Han,2 Roberta Alberio,3 Arun Singh,2 Maria Paz García-Portilla,4 Maurizio Pompili,5 R Karl Knight,2 Ute Richarz,6 Srihari Gopal,2,7 José Antunes8 1EMEA Medical Affairs, Janssen-Cilag, Issy-les-Moulineaux, France; 2Janssen Research & Development, LLC, Titusville, NJ, USA; 3Medical Affairs, Janssen-Cilag, Milan, Italy; 4Department of Psychiatry, Universidad de Oviedo, Instituto Sanitario Del Principado de Asturias (ISPA) and CIBERSAM, Oviedo, Spain; 5Department of Neurosciences, Mental Health, and Sensory Organs, Sant’Andrea Hospital, Sapienza University of Rome, Rome, Italy; 6Janssen Global Services LLC, Cilag Int., Zug, Switzerland; 7Regeneron Pharmaceuticals, Tarrytown, NY, USA; 8EMEA Medical Affairs, Janssen-Cilag, Porto Salvo, PortugalCorrespondence: José Antunes, EMEA Medical Affairs, Janssen-Cilag, Porto Salvo, Portugal, Email jantune1@its.jnj.comPurpose: To examine efficacy and safety of paliperidone palmitate (PP) 6-month (PP6M) vs PP3-month (PP3M) long acting injectable (LAI) in patients with schizophrenia from European sites previously stabilized on PP3M or PP1-month (PP1M).Methods: This post-hoc subgroup analysis used data from a global phase-3 double-blind (DB) randomized non-inferiority study (NCT03345342). Patients were randomized (2:1, respectively) to receive dorsogluteal injections of PP6M (700 mg eq. or 1000 mg eq.) or PP3M (350 mg eq. or 525 mg eq.) in the 12-month DB phase. Primary endpoint was time-to-relapse during the DB phase, using a Kaplan–Meier cumulative survival estimate (non-inferiority margin 95% CI lower bound larger than prespecified as − 10%). Treatment emergent adverse events (TEAEs), physical examinations, and laboratory tests were also evaluated.Results: A total of 384 patients who entered the DB phase were included in European sites (PP6M, n = 260; PP3M, n = 124) with a mean age similar in both groups (mean age [SD] years: PP6M, 40.0 [11.39]; PP3M, 38.8 [10.41]). Baseline characteristics were similar across both groups. The number of patients who experienced a relapse during DB phase were PP6M: 18 (6.9%) vs PP3M: 3 (2.4%) with percentage relapse-free difference of − 4.9% (95% CI: − 9.2%, − 0.5%), thus achieving non-inferiority criteria. Secondary efficacy endpoints indicated comparable improvements. Incidence of TEAEs was similar between PP6M (58.8%) and PP3M (54.8%) groups. Nasopharyngitis, headache, increased weight, and injection-site pain were the most common TEAEs.Conclusion: The efficacy of PP6M was non-inferior to that of PP3M in preventing relapse in the European subgroup previously treated with PP1M or PP3M, which was consistent with the global study. No new safety signals were identified.Keywords: Europe, long-acting injectable, paliperidone palmitate 6-month, relapse-free, schizophrenia

Eric Kawana,1 Benjamin Vachirakorntong,2 Vladislav Pavlovich Zhitny,3,4 Michael C Wajda,3 Luzviminda Alexander,1,5 Jake Patrick Young,6 Kyaw Min Tun,4 Omar Al-Taweel,1,5 Chowdhury Ahsan,1,5 Gyorgy Varsanyi,7 Aditi Singh1,4 1Kirk Kerkorian School of Medicine, University of Nevada, Las Vegas, Las Vegas, NV, USA; 2Touro University Nevada College of Osteopathic Medicine, Henderson, NV, USA; 3Department of Anesthesiology, Perioperative Care and Pain Medicine, New York University, New York City, NY, USA; 4Department of Internal Medicine, Kirk Kerkorian School of Medicine, Las Vegas, NV, USA; 5Department of Cardiology, University Medical Center of Southern Nevada, Las Vegas, NV, USA; 6Department of Biology, University of Utah, Salt Lake City, UT, USA; 7Department of Anesthesiology and Perioperative Medicine, OptumCare, Las Vegas, NV, USACorrespondence: Vladislav Pavlovich Zhitny, New York University, Department of Anesthesiology, Perioperative Care and Pain Medicine, 5578 Victoria Regina Avenue, Las Vegas, Nevada, 89139, USA, Email vladislav.zhitny@unlv.eduBackground: In the United States, echocardiography is an essential component of the care of many cardiac patients. Recently, increased attention has been given to the accuracy of interpretation of cardiac-based procedures in different specialties, amongst them the field of cardiac anesthesiology and primary echocardiographers for transesophageal echocardiogram (TEE). The purpose of this study was to assess the TEE skills of cardiac anesthesiologists in comparison to primary echocardiographers, either radiologists or cardiologists. In this systematic review, we evaluated available current literature to identify if cardiac anesthesiologists interpret TEE procedures at an identical level to that of primary echocardiographers.Methods: A PRISMA systematic review was utilized from PubMed from the years 1952– 2022. A broad keyword search of “Cardiology Anesthesiology Echocardiogram” and “Echocardiography Anesthesiology” to identify the literature was used. From reviewing 1798 articles, there were a total of 9 studies included in our systematic review, 3 of which yielded quantitative data and 6 of which yielded qualitative data. The mean accuracy from each of these three qualitative studies was calculated and used to represent the overall accuracy of cardiac anesthesiologists.Results: Through identified studies, a total of 8197 TEEs were interpreted by cardiac anesthesiologists with a concordance rate of 84% to the interpretations of primary echocardiographers. Cardiac anesthesiologists had a concordance rate of 83% when compared to radiologists. On the other hand, cardiac anesthesiologists and cardiologists had a concordance rate of 87% in one study and 79% in another study.Conclusion: Based on these studies, cardiac anesthesiologists are shown to interpret TEEs similarly to that of primary echocardiographers. At this time, there is no gold standard to evaluate the accuracy of TEE readings. One way to address this is to individually assess the TEE interpretation of anesthesiologists and primary echocardiographers with a double-blind study.Keywords: echocardiography, transesophageal echocardiogram, cardiac anesthesia

Avantika Singh,1,&ast; Aristides Hadjinicolaou,1,&ast; Jurriaan M Peters,1 Catherine L Salussolia1,2 1Division of Epilepsy and Neurophysiology, Department of Neurology, Boston Children’s Hospital and Harvard Medical School, Boston, MA, USA; 2F.M. Kirby Neurobiology Center, Department of Neurology, Boston Children’s Hospital and Harvard Medical School, Boston, MA, USA&ast;These authors contributed equally to this workCorrespondence: Catherine L Salussolia, 3 Blackfan Circle, Center for Life Sciences 14060, Boston, MA, 02115, USA, Tel +617-355-7970, Email catherine.salussolia@childrens.harvard.eduAbstract: Tuberous sclerosis complex (TSC) is a neurogenetic disorder that affects multiple organ systems, including the heart, kidneys, eyes, skin, and central nervous system. The neurologic manifestations have the highest morbidity and mortality, in particular in children. Clinically, patients with TSC often present with new-onset seizures within the first year of life. TSC-associated epilepsy is often difficult to treat and refractory to multiple antiseizure medications. Refractory TSC-associated epilepsy is associated with increased risk of neurodevelopmental comorbidities, including developmental delay, intellectual disability, autism spectrum disorder, and attention hyperactivity disorder. An increasing body of research suggests that early, effective treatment of TSC-associated epilepsy during critical neurodevelopmental periods can potentially improve cognitive outcomes. Therefore, it is important to treat TSC-associated epilepsy aggressively, whether it be with pharmacological therapy, surgical intervention, and/or neuromodulation. This review discusses current and future pharmacological treatments for TSC-associated epilepsy, as well as the importance of early surgical evaluation for refractory epilepsy in children with TSC and consideration of neuromodulatory interventions in young adults.Keywords: neurodevelopment, infantile spasms, vigabatrin, epilepsy surgery

MANET is an autonomous wireless network without any centralized authority, consisting of a dynamic topology with a multi-hop scenario. Clustering provides centralized authority within MANET and makes the network stable up to some extent. Security is one of the most challenging aspects, directly proportional to load and overhead over the network. The model being proposed uses a cluster-based technique and modified secure routing protocol, which minimizes the network’s load and overhead, improving the network’s security and performance. Two major factors are used as contribution level and stability factor for the choice of cluster head, which minimizes the method of re-selection for cluster head. The node addition using authentication and the Modified Secure Routing Protocol increases the security of the network. The Modified Secure Routing Protocol, based on limited and efficient use of the certificates with encryption and decryption of packets, minimizes the overhead and load over the network. Hence, it provides more efficiency and security.

Background: Childhood obesity is a grave public health concern in the 21st century. It is becoming a widespread problem in low and middle-income countries, particularly in urban areas. Childhood obesity is a precursor to metabolic syndrome, poor physical health, mental disorders, respiratory problems, and glucose intolerance, which can all continue into adulthood. Developing countries like India face a unique problem of a ‘double burden’, where undernutrition and obesity co-exist. Objectives: The study aimed to determine the prevalence of overweight/ obesity among school-going children and to identify the modifiable risk factors associated with it. Methodology: An epidemiological cross-sectional study was conducted in a private school located in the Western suburbs of Mumbai. The study included all students from the 1st to 10th standard of the secondary section, who were willing to participate. Before the study, necessary permissions were obtained from the school authorities and parental consent was taken. The study was conducted over 4 days in October 2023. Data was collected through interviews using a pre-structured questionnaire. The collected data will be analyzed using SPSS for descriptive and inferential statistics. Results: Among 521 participants, the Prevalence of Overweight is 14.77% and Obesity is 6.71% in our study. Statistical significance was found between BMI and Smartphone usage, BMI and Occupation of Mother. Conclusion: Dietary factors have always been associated with overweight & obesity however our study reveals that other factors also play a pivotal role in development of obesity which is an important risk factor for Non- Communicable Diseases further in adulthood.

Background: The prevalence of Postpartum Depression in India varies from 6.8-21.5%. About 5% women reported persistent PPD symptoms even three years after childbirth. PPD increases the suicide risk among mothers. It not only affects the psychological health but also physical health & quality of life of mother. Maternal PPD affects the mother child bonding and also the child growth & development. Objective: To assess the long-term effects of post-partum depression on the mothers and the children at 1 year-5 years. Methodology: We have done a Cohort study with 290 mother-child dyads in both rural and urban area of Khordha, Odisha. Mothers were screened using EPDS for PPD at 6wk to 6 months after delivery. The outcome for mothers and children were assessed at one year to five years after delivery. Chronic depression was assessed with EPDS, confirmed by psychiatric evaluation and suicidality of the mother with SBQ-R; child anthropometric outcomes with WHO growth charts and development with Bayley Scale of Infant and Toddler Neurodevelopment. Results: Among the 62 mothers screened positive for post-partum depression, 18 (29%) were found to have Chronic depression and a significant association was found between post-partum and chronic depression (OR=11.25, CI- 4.60- 27.69, p-value

Subject and purpose of work: T he s tudy a ims t o identify t he constraints in t he f unctioning of PACS in Haryana, India.

Ultrasound examination is used for the assessment of abnormal findings on prenatal screening. Radial ray defect can be screened by using ultrasonography. Abnormal findings can be detected quickly by having the understanding of the etiology, pathophysiology and embryology. It is a rare congenital defect that may be isolated or associated with other anomalies including Fanconi’s syndrome and Holt-Oram syndrome. We report the case of a 28-year-old woman (G2P1L1) who presented for routine antenatal ultrasound at 25 weeks 0 days according to the last menstrual period. The patient did not have any level-II antenatal anomaly scan done. An ultrasound was performed, and the gestational age according to the ultrasound scan was 24 weeks and 3 days. In this paper, we present a brief review of embryology and critical practical points, and report a rare case of radial ray syndrome with associated ventricular septal defect.

Background/Aim: Ischaemic heart disease (IHD) is a major cause of morbidity and the leading cause of mortality in either men or women globally. IHD incidence is more common in the elderly and there are multiple well-known risk factors for IHD. This study aimed to evaluate the epidemiological trend of IHD in North-Western India. This study also evaluated the risk factors of IHD and associated comorbidities. Methods: A cross-sectional observational study for a period of 12 months was conducted in the Cardiology Department of the Tertiary Care Hospital, Jaipur, India. A total of 400 IHD patients were enrolled in this study. Statistical Package for Social Sciences (SPSS) version 20.0 software was used for statistical calculation. Results: The most common age group was 61-80 years (mean age was 57.8 ± 0.66) with men predominated (76.3 %). More patients (56 %) were from urban areas than rural areas (44 %). Among all the patients, 161 (40.3 %) patients were smokers and 42 (10.3 %) were alcoholics. Hypertension (34.8 %) followed by diabetes mellitus (17 %) and obesity (7.3 %) were found to be the predominant risk factors. Conclusion: IHD was more common in elderly patients and in men. Heavy alcohol consumption and smoking were potential risk factors for the development of IHD. Hypertension, diabetes mellitus and obesity also significantly contributed to occurrence of IHD. The burden of the IHD can be reduced by the limiting alcohol consumption, smoking cessation and adaptation of healthy lifestyle.

This article presents a configuration that can simulate both a resistor in series with a frequency-dependent negative-resistance (R-D) and a resistor in series with a capacitor (R-C), with a different selection of passive elements. The proposed circuit employs only two current-controlled-current-feedback- amplifiers (CC-CFAs) and grounded passive elements. This configuration does not require passive element matching, and the simulated equivalent element values can be tuned electronically by applying a biasing current to the CC-CFAs. To demonstrate the application of the proposed grounded series R-D impedance simulator, it is applied to a second-order notch filter and a fifth-order elliptic lowpass filter, whereas the series R-C impedance simulator is applied to a secondorder resonance circuit to find the band-pass response of the input current. Our theoretical analysis is confirmed by the results of a PSPICE simulation.

In booster synchrotron, fast-ramped power converters (FRPCs) are used for ramping up the magnetic field of electromagnets connected in series, at a fast rate, typically 1,000s of ampere per second. In large accelerators, the number of electromagnets is large. Therefore, during ramping, the peak value of driving voltage becomes prohibitively large considering the insulation requirement of the magnets and cables. The power converter is therefore developed by connecting a suitable number of smaller voltage rated modules in series. The series-connected modules are operated in phase-staggered mode to reduce the output voltage ripple or to reduce the filtering requirement to meet the prescribed ripple voltage. Since the filter component values predominantly decide the dynamic response, the achievable small-signal bandwidth of the control loop and hence the achievable tracking accuracy of the ramping output current are essentially governed by the filter components. To optimise the filter design, quantification of overall ripple voltage is crucial, that too under the most practical conditions considering non-ideal conditions. In this paper, estimation of overall ripple voltage is performed for series-connected two-quadrant power converters (TQPCs) operating in phase-staggering mode for ideal and non-ideal conditions. Simulation and experimental verification results are shown to be in good agreement with the analytical results.

Aim: This micro-computed tomography (micro-CT) study aims to quantitatively analyze the dentinal microcracks formed and propagated after endodontic retreatment using different file systems. Methods: Forty extracted mandibular premolars were selected. Biomechanical preparation was done using ProTaper Next rotary files followed by obturation using lateral compaction technique. All specimens were randomly divided into four groups (n = 10) and scanned under 1172; Micro-CT (Skyscan Bruker, Kontich, Belgium). After scanning, the first group was retreated using Hedstrom (H) files (Dentsply Maillefer, Ballaigues, Switzerland), the second group with Gutta Percha Remover (GPR) files (Mani Inc., Japan), the third group with Endostar RE Re Endo Rotary system (RE Endo files) (Endostar RE, Poland), and fourth group with ProTaper Universal Retreatment (PTUR) files (Dentsply Maillefer, Ballaigues, Switzerland). A micro-CT scan was repeated of each sample to observe the newly formed and propagated microcracks. The micro-CT scans before and post retreatment were then evaluated using CT-analyzer software. Data were compared using the Chi-square test. Results: New microcracks formed post retreatment were maximum in the RE Endo group followed by the PTUR group, GPR group, and least in the H file group. Propagation of existing microcracks after retreatment was maximum in the RE Endo group followed by nearly similar in both the GPR group and PTUR group and least in the H file group. On comparing the frequency distribution of the newly formed and propagated microcracks, the Chi-square test showed similar distribution among all four groups, which was found statistically insignificant (P > 0.05). Conclusion: GPR rotary instrument group created the least new microcracks among tested retreatment rotary files. However, the propagation of microcracks was found comparable with the PTUR files.

The present work investigates three strategies for the production of copper nanoparticles (CuNPs): sodium borohydride reduction, ascorbic acid reduction, and reduction without reducing agent. Analyzed were the size distribution, stability, and ecological sustainability potential of the produced nanoparticles. The sodium borohydride reduction method yielded the most uniform and diminutive nanoparticles, with an average diameter of 8 ± 2 nm. This characteristic made it the optimal selection for applications necessitating meticulous control of dimensions, such as in the fields of electronics and catalysis. Although the reduction of ascorbic acid resulted in the formation of considerably bigger nanoparticles measuring 15 ± 5 nm, it provided a much more environmentally friendly manufacturing approach that was well-suited for biological applications. Although the experiments showed that stabilizers might be advantageous in lowering copper ions, the technique without a reducing agent produced the biggest and least consistent nanoparticles, measuring 25 ± 8 nm. The results indicate that modulating the size of nanoparticles incurs both advantages and disadvantages. Among the options considered, sodium borohydride offers the most consistent size distribution, although ascorbic acid is the most environmentally friendly. For the purpose of enhancing particle stability and improving nanoparticle production, future study should investigate more environmentally friendly reducing agents and optimize reaction parameters.

This study focused on optimizing biodiesel (BD) production from the hazelnut kernel oil and waste cooking oil using Box Behnken Design in Response Surface Methodology (RSM- BBD). The process was improved by employing CaO as a catalyst, with four variables including reaction temperature (50 to 70 °C), CaO catalyst concentration (2 to 6 wt%), stirring speed (300 to 500 rpm), and methanol-to-oil molar ratio (5:1 to 15:1). Through RSM-BBD, the optimal conditions for achieving maximum biodiesel yield were found to be a temperature of 50 °C, catalyst of 2 wt%, stirring speed of 500 rpm, and a methanol-to-oil molar ratio of 10:1. These conditions caused in a biodiesel yield of 94.85%. The findings established that biodiesel derived from hazelnut kernel oil and the waste cooking oil not only presented a sustainable alternative to conventional fuels but also chances ASTM and EN biodiesel standards, making it suitable for industrial production.

ITER-India, as a part of its in-kind commitments to ITER project, has a mandate to deliver two “Gyrotron” based RF Source sets with state-of-the-art specifications (170 GHz, 1MW, 1000 s), for ECRH (Electron Cyclotron Resonance Heating) applications. With an aim to bench mark the integrated system performance, a MW class Gyrotron Test Facility has been developed at ITER-India under Phase-1 of the project execution plan. The facility has been developed with all necessary auxiliary systems and services such as the Low Voltage and High Voltage Power Supplies; Control, Protection and Monitoring Systems; RF Diagnostic Systems; Cooling and Vacuum Services etc. Further, a test Gyrotron with ITER relevant specifications (1MW, 170 GHz, 1000s) along with a set of dummy loads and waveguide components have been procured from M/s. Gycom, Russia, and fully integrated with the test facility. Detailed Site Acceptance Tests of the Test Gyrotron have been conducted at the newly developed ITER-India Gyrotron Test Facility (IIGTF). An output RF power of 1MW at 170 GHz for 1000 s with RF efficiency of about 50% has been successfully demonstrated during these tests there by validating the ITER relevant performance

Biofuels are a viable alternative to fossil fuels, providing potential advantages in mitigating greenhouse gas emissions and improving energy security. Nonetheless, the environmental sustainability of biofuels requires thorough evaluation across their whole life cycle. This report provides a thorough Life Cycle Assessment (LCA) of biofuels, emphasizing greenhouse gas emissions, energy use, and resource depletion. Monte Carlo simulation is used to address variability and uncertainty in critical parameters, yielding a reliable assessment of environmental consequences. Findings demonstrate that biofuels may decrease greenhouse gas emissions by 45-60% relative to fossil fuels; however, considerable heterogeneity is seen based on feedstock type, agricultural methods, and conversion technology.

This research examines the synergistic benefits and impact of Thermoelectric Generators (TEGs) in energy harvesting, emphasizing their contribution to improving system efficiency via appropriate integration with energy management systems. The empirical findings indicate a significant 15% enhancement in energy conversion efficiency via enhanced waste heat recovery using TEGs, coupled with an 8% augmentation in total system performance attributable to sophisticated energy management strategies. Furthermore, there is a notable 10% decrease in energy losses, achieved by meticulous management of temperature gradients and regulation of power output. Total Energy Efficiency Metrics indicate a 12.5% enhancement in energy usage, a 2% decrease in system downtime attributable to the improved dependability of TEG units, and a 4°C reduction in average operating temperature, hence assuring increased lifespan of the devices. These findings underscore the practical advantages of integrating TEGs into waste heat recovery systems, enhancing the ongoing discussion on sustainable energy solutions by offering definitive proof of their effectiveness and the collaborative effect they exert on energy harvesting and system efficiency.

The intermittent nature of renewable energy sources such as solar and wind power can lead to fluctuations in the supply of electricity within a microgrid, making it difficult to maintain a consistent and reliable power supply. This can result in disruptions to critical operations and services that rely on a stable source of energy. Additionally, the integration of electric vehicles into a microgrid introduces another layer of complexity, as the charging and discharging of these vehicles can create additional demand and strain on the grid. This can lead to imbalances in the supply and demand of electricity, further impacting the stability and efficiency of the microgrid. This paper presents an approach for the optimal behaviour of electric vehicles and demand side for an electrical microgrid. The proposed approaches are multi-domain attention-dependent conditional generative adversarial network (MDACGAN) and seahorse optimization (SHO) techniques. The primary goal of the suggested method is to reduce the operational cost of the system, maximize the utilization of solar power and reduce electricity fluctuations. The economic dispatch model manages the fluctuation of renewable energy sources through the implementation of suggested techniques to handle unpredictability. The effectiveness of this approach is evaluated using the MATLAB platform and compared against other methods. The suggested technique demonstrates superior outcomes across all methodologies. Based on the findings, it can be inferred that the suggested technique boasts a lower cost in comparison to other methods.

Energy storage systems are crucial in managing the uncertainties associated with power generation from renewable sources like wind turbines (WTs) and photovoltaic (PV) systems. This article presents the most effective sizing of energy resources within a microgrid, which includes hydrogen storage, PV, battery systems, and WT in the independent mode of the main grid. The study aims to minimize installation costs, maximize the penetration of WT and PV systems in meeting demand, and reduce load shedding. To tackle the intricacies of the planning process, the research utilizes the modified sunflower optimization (MSFO) algorithm. Through comparative experiments, the study confirms the efficacy of this method, showcasing its capacity to deliver enhanced outcomes. The findings indicate that the proposed method efficiently optimizes resource allocation at an optimal pace.

The escalating urbanization and rapid traffic growth have accentuated the need for smart and efficient parking solutions. This paper explores the implementation of IoT technology to maximize the optimization of multi-storied parking facilities. The system that was proposed aims to enhance space utilization reduce congestion and improve the parking experience. It all begins by studying current challenges related to traditional parking structures including space utilization, limited accessibility, and huge waiting time. The system offers real-time data analysis by integrating IoT devices like sensors, data acquisition and communicating modules. It facilitates dynamic range space allocation for efficient utilization of allocated slots. For effectiveness, a prototype is developed and tested, where the results are described as a significant reduction rate in congestion and space utilization which further enhances user satisfaction. Using a lift and a DC motor for the movement of vehicles from one floor to another, the Installation of IoT technology enables the operators to manage and monitor the facility remotely, contributing to cost-effectiveness and operational efficiency.