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This study aims to develop a predictive model for car prices using various parameters, such as car name, manufacturing year, km driven, fuel used, dealer type, transmission type, number of seats, torque in RPM, mileage of the car, engine power in cc, max power range, and ownership type. The model is developed using the forest regressor algorithm, which is a machine learning technique used for regression analysis. The data is collected from various sources, and after preprocessing, the model is trained to estimate the car price based on the input parameters. The results show that the developed model has a good accuracy in predicting the car price. This study contributes to the field of automotive industry and can provide valuable insights for car buyers and sellers.

Introduction and Aim: Karisalai Chooranam (KSC) is used in the traditional Siddha system of medicine for a long time to treat various ailments in the body. Its antistress and antioxidant properties were reported earlier. Investigating the acute and long-term toxicity of Karisalai Chooranam in Wistar albino rats was the goal of the current study. Materials and Methods: For the acute toxicity investigation, Wistar rats were divided into four groups. For fourteen days, the animals were monitored for behavioural changes and toxicological complaints. For ninety days, a total of four categories of animal groups like control, forty mg/kg body weight, two hundred mg/kg body weight and thousand mg/kg body weight were utilized in a long - term toxicity study. The samples of blood were taken on the final day of the trial for biochemical and haematological examination. Animals were sacrificed for monitoring gross necropsy changes and histopathological examination of the liver, kidney and brain. Results: There was no morbidity or death observed in the acute toxicity trial. In the research of long - term toxicity. KSC's haematological and biochemical parameters during analysis did not exhibit any appreciable changes. All the three doses of KSC, the renal and brain histology displayed normal architecture. When the medicine was given to the forty milligram and two hundred milligram dosage groups of animals for 90 days, no toxicity symptoms were present in the case of organ liver. After the medicine was given for 90 days to the thousand milligram dosage group, toxic signs such as programmed and localized cell death became apparent. Conclusion: Toxicity studies proved the safety of KSC in animal models. If KSC is utilized clinically as prescribed in literature, it will not cause any adverse effects.

Online evaluation systems play an vital position in influencing client conduct and choice making, attracting many spammers to insert faux remarks to review content material and rankings. To increase advantages and improve user experience, some online evaluation systems permit customers to shape social relationships with every different and inspire their interaction. In this text, we purpose to provide an powerful and green method to pick out assessment spammers, incorporating social relationships primarily based on two assumptions, that human beings are much more likely to help opinions from the ones associated with them as straightforward and evaluate spammers are less probably to guide. Extremely good community relationships with everyday users. The contribution of this article is -fold: (1) we give an explanation for how social relationships may be covered in the estimation of estimation prediction and we suggest a version of accept as true with estimation prediction the usage of proximity as a accept as true with weight, and (2) we increase a trust-based estimation model. An instance The detection version is primarily based on a discrepancy assessment that iteratively calculates the overall reliability rating for a selected consumer as a spam sign. Experiments with a questionnaire accrued from Yelp.Com display that the consider-primarily based prediction technique offers better accuracy than the standard CF approach, and that there is a strong comparison among social attitudes and overall believe ratings.

Background: Japanese encephalitis (JE) is endemic in various parts of India. Due to the limited treatment options available, a new treatment option that is safe and effective is highly expected for the existing medical needs. Methods: In the present randomized Phase-2/3 study, safety, immunogenicity, and reactogenicity of JE-vaccine manufactured by Biological E (BE-JE), given in 2-dose schedule, 28-days apart was assessed in 456 healthy ≥1 to

Healthcare is predominantly regarded as a crucial consideration in promoting the general physical and mental health and well-being of people around the world. The amount of data generated by healthcare systems is enormous, making it challenging to manage. Many machine learning (ML) approaches were implemented to develop dependable and robust solutions to handle the data. ML cannot fully utilize data due to privacy concerns. This primarily happens in the case of medical data. Due to a lack of precise clinical data, the application of ML for the same is challenging and may not yield desired results. Federated learning (FL), which is a recent development in ML where the computation is offloaded to the source of data, appears to be a promising solution to this problem. In this study, we present a detailed survey of applications of FL for healthcare informatics. We initiate a discussion on the need for FL in the healthcare domain, followed by a review of recent review papers. We focus on the fundamentals of FL and the major motivations behind FL for healthcare applications. We then present the applications of FL along with recent state of the art in several verticals of healthcare. Then, lessons learned, open issues, and challenges that are yet to be solved are also highlighted. This is followed by future directions that give directions to the prospective researchers willing to do their research in this domain.

The TECH-STAT-VIEW is a cutting-edge online intranet program with significant implications for universities and academic institutions. This system allows departments or the whole university to track and monitor student attendance in real time. It also provides a platform for viewing and searching college-related information, as well as receiving updates on grades, leaves and staff attendance. Staff employees have the ability to easily upload and download information to the database. Users must first register and be allowed access based on their identification as a student to the specific staff member in order to fully utilize the system's capabilities to view or modify information. The intranet-based TSV platform's ultimate goal is to provide easy access to information at all levels of organizational management, acting as a complete knowledge and information management system. Using the Django framework, developers may create a strong and scalable web application with a user-friendly interface that is simple to maintain. The Python programming language, with its many libraries and tools, provides the resources required to create sophisticated and feature-rich programs. The Python programming language and the Django framework work well together to create a college administration system that satisfies the demands of current educational institutions.

Introduction: Autologous costal cartilage framework placement is currently the gold standard in patients with microtia. In this article, we present the modifications developed by the author, generally following the principles established by Nagata, and discuss the technical details that have led us to achieve consistently stable and good long-term outcomes for auricular reconstruction in microtia. Materials and Methods: A retrospective review of microtia reconstruction performed from 2015 to 2021 was done. Those who underwent primary reconstruction for microtia and with a minimum follow-up of 6 months with documented photographs were included. Those who underwent secondary reconstruction for microtia and those who did not follow-up for a minimum period of 6 months were excluded. Outcomes were assessed with regard to appearance, and durability of the result. Influence of certain changes like delaying reconstruction until 15 years of age, use of nylon for framework fabrication, etc. over the outcome were assessed. Results: Of 11 ears reconstructed at less than 15 years of age, only one patient (9%) had a good long-term outcome, whereas of the 17 ears reconstructed at greater than 15 years of age, nine patients (53%) had a good long-term outcome. In our experience, infections and wire extrusions were the significant events related to severe cartilage resorption. Conclusion: In our experience, delaying the first stage to 15 years or later, using double-armed nylon sutures, and reducing the projection of the third layer of the framework in select cases have helped to improve our outcomes. Second stage of reconstruction can be avoided if patient is satisfied with the projection achieved in the first stage.

Among mesenchymal neoplasms of Adrenal cortex, Myelolipoma constitutes the most common neoplasm that often diagnosed in patients in their fifth to seventh decade of life. Whereas Teratoma in retroperitoneal location, in Adrenal gland is rare. We present a case of 27year old woman who presented with pain abdomen, found to have a left adrenal mass. On imaging left adrenal mass had defined boundaries and fat predominant component with likely diagnosis of Myelolipoma. She underwent laparoscopic Adrenalectomy with histopathological diagnosis of Benign cystic teratoma. Primary adrenal teratomas are rare neoplasms, more commonly involving left adrenal gland. They are generally amenable to laparoscopic resection and have favorable prognosis.

Dry eye can initially cause mild symptoms of irritation and may rapidly progress to corneal scarring and blindness. Tear substitutes can only help for mild cases. With the advancement in microsurgical techniques, an option of transferring vascularized salivary glands has shown positive results. We present a case of a 5-year-old boy with congenital alacrimia with ocular surface damage. Vascularized autologous submandibular gland transfer was considered as a viable option for this patient. We performed the gland transfer in two separate stages for the two eyes (1 year 5 months apart). The patient was evaluated for up to 2 years for the right eye and for 7 months for the left eye. Dry eye workup showed drastic improvement (right > left). Biochemical analysis showed gradual transition to resemble that of natural tears. This procedure can result in significant symptomatic improvement and can be a promising treatment option for cases of severe dry eye.

In plants, the robust maintenance of tissue structure is crucial to supporting its functionality. The multi-layered shoot apical meristem (SAM) of Arabidopsis, containing stem cells, is an approximately radially symmetric tissue whose shape and structure is maintained throughout the life of the plant. In this paper, a new biologically calibrated pseudo-three-dimensional (P3D) computational model of a longitudinal section of the SAM is developed. It includes anisotropic expansion and division of cells out of the cross-section plane, as well as representation of tension experienced by the SAM epidermis. Results from the experimentally calibrated P3D model provide new insights into maintenance of the structure of the SAM epidermal cell monolayer under tension and quantify dependence of epidermal and subepidermal cell anisotropy on the amount of tension. Moreover, the model simulations revealed that out-of-plane cell growth is important in offsetting cell crowding and regulating mechanical stresses experienced by tunica cells. Predictive model simulations show that tension-determined cell division plane orientation in the apical corpus may be regulating cell and tissue shape distributions needed for maintaining structure of the wild-type SAM. This suggests that cells' responses to local mechanical cues may serve as a mechanism to regulate cell- and tissue-scale patterning.

The objective of the study was to examine the compounds which inhibit the enzyme RNA-Dependent RNA-Polymerase (RdRp) of SARS-CoV-2. In this study, we collected 120 similar compounds of Remdesivir, Favipiravir, Novobiocin, and Cortisone inhibitors from PubChem and docked them within the RdRp enzyme using Patchdock/ Firedock server. Seven compounds were screened based on binding affinity and binding mode analysis and further studied the covalent and hydrogen interaction networks using Ligplot+ software. Moreover, the pharmacore properties and bioactivity of the compounds were analyzed with molinspiration cheminformatics software. In this study, we identified the compounds 56832851, 134443512, and 5745 have more binding affinity and mostly covalent/H-bonding interactions occurred with side chain residues Asp161 (B)-Trp187 (B)-Thr367 (A)-Arg377 (A)-Asn387 (A)-Glu588 (A) of RdRp. Furthermore, these three compounds showed up drug-likeness and biologically active, though further in-vitro investigations are needed

Wildfires are a worldwide natural disaster causing important economic damages and loss of lives . Early detection and prediction of fire spread can help reduce affected areas and improve firefighting. Unmanned Aerial Vehicles were employed to tackle this problem due to their HIGH flexibility, their low-cost, and their ability to cover wide areas during the day or night. However , they are still limited by challenging problems such as small fire size, background complexity, and image degradation .To deal with the limitations, we adapted and optimized Deep Learning methods to detect wildfire at an early stage. A novel deep ensemble learning method, which combines EfficientNet-B5 and DenseNet-201 models, is proposed to identify and classify wildfire using aerial images.

The main objective of this project is toanalyze the road side accidents by scrutinizing accident-prone or hotspot areas and their root causes. Accidents through roadways have been a greatthreat to developed as well asunderdeveloped countries. Roadaccidents and its safety have been a major concern for the world, and everyone is trying to handle this since years. Road traffic and reckless drivingoccur in every part of the world. Because of this, many pedestrians are affected too. With no fault, they become victims. Many road accidents occur because of numerous factors likeatmospheric changes, sharp curves, andhuman faults. Injuries caused by road accidents are major but sometimes imperceptible, which later on affect health too. This study aims to analyze road accidents in one of the popular metropolitan cities, i.e., Bengaluru,through Linear Regression, Polynomial Regression, Decision Tree Regressor, Support Vector Regressor, Random Forest Regressor algorithms and machine learning by scrutinizing accident-prone or hotspot areas and their root causes.

Objective: To computationally model the CTX-M-5 β-lactamase and establish its structure, which is exclusively present in human-associated Salmonella. Methods: The CTX-M-5 aminoacid sequence (Uniprot ID:O65975) of Salmonella enterica subsp. enterica serovar typhimurium was retrieved from UniProt database and subjected to homology modeling using MODELLER 9v7. The homology models were duly validated using RAMPAGE tool by generating Ramachandran plots, ERRAT graphs, and ProSA score. DoGSiteScorer server and ConSurf server were used to detect the cavities, pockets, and clefts to identify conserved amino acid sites in the predicted model. Subsequently, the modeled structure was docked using CLC Drug Discovery Workbench against proven drugs and known inhibitors. Results: Obtained high-quality homology model with 91.7% of the residues in favorable regions in Ramachandran plot and qualified in other quality parameters. Docking studies resulted in a higher dock score for PNK (D-benzylpenicilloic acid) molecule when compared to other reported inhibitors. Conclusion: This in silico study suggests that the compound PNK could be an efficient ligand for CTX-M-5 β-lactamase and serve as a potent inhibitor of CTX-M-5.

The present work developed a simple hydrothermal process for the growing of cerium oxide (CeO2) nanorods (NRs) on identical fluorine-doped tin oxide (FTO) substrates, which does not require the use of a template. The sputter deposition was used to cover optimized tungsten oxide (WO3) films on the cerium oxide nanorod. The electrochromic device (ECD) was developed by depositing WO3 thin films at oxygen partial pressures (ppO2) of 8×10-4 mbar. The structural, morphological, optical, and Electrochromic (EC) properties of WO3 films on cerium oxide nanorods were characterised using scanning electron microscopy (SEM), X-ray diffraction spectroscopy (XRD), Raman spectroscopy (RS), Fourier-transform infrared spectroscopy (FTIR), optical transmittance studies, and cyclic voltammetry (CV) measurements, respectively. The diameters of the grown cerium oxide NRs are 917 ±85 nm, 721 ±115 nm, 596 ±56 nm, and 611 ±76 nm, and lengths are 0.911 ±0.16 µm, 1.121 ±0.121 µm, 1.157 ±1.101 µm, and 1.321 ±1.253 µm, respectively, Cerium nitrate hexahydrate concentration was raised from 0.06 M to 0.09 M while keeping the urea content constant at 0.5 M. The optical transmittance was varied with respect to the concentration of CeO2. Additionally, with a diffusion coefficient of 8.07 ×10-14 cm2/s, the hybrid WO3/ CeO2 NRs films have shown good electrochemical properties than pure WO3. According to electrochromic studies, 0.06 M film had a colouration efficiency of 13.88 cm2/C. We hope that a better knowledge of the influence of CeO2 NRs on WO3 electrochemical performance will able to select the proper doping components and concentrations for power-saving optoelectronic devices.

Plants release volatile compounds called herbivore-induced plant volatiles (HIPVs) in response to being eaten by herbivores. These compounds play crucial roles in plant defense, either by repelling the herbivores themselves or by enticing the herbivores' natural enemies, such as predatory insects, to attack the plant. Insect parasitoids and predators rely on HIPVs to find their prey or host, and when a plant recruits these mutualistic insects, it is protected against herbivores. Yet, numerous fields of study have lately begun to focus on HIPVs for crop protection beyond their role in tritrophic interaction. &nbsp

The parts in the motor assembly are divided into two types: fixed and variable. The tolerances of the fixed parts cannot be changed and the tolerances of the variable parts are calculated using three methodologies such as ME boost, ANFIS, and Cost function optimization.ME boost is an Excel add in used to calculate the tolerances of the variable parts. ANFIS is a neural network based optimization tool in matlab. Cost function is formulated for the variable parts in the assembly and optimized to calculate the tolerances. Then the tolerance for the assembly gap is calculated. The tolerances for the gap from the three methodologies are compared and optimum tolerance is considered for manufacturing. Keywords: Motor assembly, Tolerance, Assembly gap, ME boost, ANFIS, Cost function Optimization.

The aim of this study is to predict the temperature for the next three days using a machine learning algorithm and the objective of this research is to improve the accuracy of temperature prediction. Materials and methods: The study used 36 samples with two groups of algorithms with the g-power value of 80%. To predict the temperature, the Sliding Window Algorithm (SLA) machine learning algorithm has found 89% of accuracy and this study will find better accuracy for temperature prediction with the Decision Tree (DT) algorithm. Results: This research study found 92% of accuracy for temperature prediction using a DT algorithm. Conclusion: This study concludes that the DT algorithm on temperature prediction is significantly better than the SLA.

Automation of farm activities can transform agricultural domain from being manual and static to intelligent and dynamic leading to higher production with lesser human supervision. This paper proposes an automated irrigation system which monitors and maintains the desired soil moisture content via automatic watering. SoC ESP8266 Wi-Fi module platform is used to implement the control unit. The setup uses soil moisture sensors which measure the exact moisture level in soil. This value enables the system to use appropriate quantity of water which avoids over/under irrigation and the ph sensor measure the ph value of water finally the DHT11 used to analysis the temperature of atmosphere. IOT is used to keep the farmers updated about the status of sprinklers. Information from the sensors is regularly updated on a webpage using internet through which a farmer can check whether the water sprinklers are ON/OFF at any given time. Also, the sensor readings are transmitted to cloud storage to generate graphs for analysis Keywords: Automation, SoC, ESP8266, DHT11, IOT, Cloud storage

Tolerance plays a crucial role in the quality of a product. When different parts of an assembly are assembled, gap arises due to variation in dimensions. The tolerance for the gap is calculated using two methodologies: ANFIS and cost function optimization. In ANFIS the network is trained using mean dimensions, standard deviations as inputs and tolerances as output. The tolerances are predicted from the trained network. In cost function optimization, a cost function is formulated. The machinability of a part is calculated using Fuzzy Comprehensive Evaluation method. The tolerances are calculated by optimizing the cost function. The tolerances calculated using the two methods are compared and optimal tolerance is considered for manufacturing. Keywords: Tolerance, ANFIS, Assembly gap, Cost function, Optimization.

Ocular drug delivery is the most challenging and interesting field in the pharmaceutical industry and pharmaceutical scientist. Blindness and vision impairment are the most problematic global health problem. In ophthalmic in-situ gels, various polymers are used. Generally, hydrogels are used. These polymers will increase the viscosity of the solution. In the physiology of the eye, this organ is impermeable to foreign particles. Novel drug delivery systems focus to overcome the biological barrier which can obstruct efficient ocular drug delivery. The conventional ophthalmic formulation shows a short pre-corneal residence time and poor bioavailability. Many attempts have been made towards the development of stable sustained-release in-situ gels. In this review, we specify a brief note about in-situ gels, various approaches for in-situ gelling systems, different types of polymers used in in-situ gels, their mechanisms of gel formation, and evaluation of polymeric in-situ gel.

Gastric cancer, third most common cause of death due to cancer and the fifth most common cancer across the world, present with symp-toms like early satiety, nausea, vomiting, abdominal pain and loss of weight. The common age of presentation lies between 50 to 70 years. Here, we discuss about a case of a 50years old patient presented with chief complaints of pain in the epigastric region, insidious in onset, gradually progressive, burning in nature and associated with early satiety and bloodstained vomiting. Upper Gastrointestinal Endoscopy (UGIE), Endoscopic biopsy and Contrast Enhanced Computed Tomography (CECT) were in favor of Metastatic Gastric Adenocarcinoma obstructing Gastric Outlet. Considering Gastric outlet obstruction, the patient underwent Palliative Gastrojejunostomy and Postoperative Radio chemotherapy. This case emphasizes the significance about considering palliative surgical care in improving the patient compliance and quality of life.

Extended model description, experimental methods, and image analysis methods.

Supplemental Material for A study on development of silicone rubber with conductive carbon, polyaniline, MWCNT composite for EMI shielding by J Jayakanth, K Chennakesavulu, G Ramanjaneya Reddy, S Dhanalakshmi, V Priya, K Sasikumar and T Sasipraba in High Performance Polymers

Shortage of water in rice cultivation is major problem in India. To safeguard and sustain food security in India, it is quite important to increase the productivity of rice under limited water resources. To investigate the performance of rice cultivars under the best method of irrigation and system of cultivation in new condition an experiment was conducted to study the "productivity and water use efficiency of rice (Oryza sativa L.) cultivars under different irrigation regimes and systems of cultivation" on clay loam soils of Indian Institute of Rice Research (IIRR), Rajendranagar, Hyderabad, Telangana during the kharif seasons of 2017 and 2018. The treatment comprised of two irrigation regimes viz., AWD and saturation as main plot treatments, three establishment methods viz., system of rice intensification, drum seeding and TP as subplot treatments and four cultivars namely DRR Dhan 42, DRR Dhan 43, MTU-1010 and NLR-34449 as sub-sub plot treatments summing up to 24 treatment combinations laid out in split-split plot design with three replications. Among the irrigation regimes, AWD irrigation practice recorded higher grain yield (5755, 5952 and 5854 kg ha-1 in 2017, 2018 and pooled means, respectively) than saturation. Among the different systems of cultivation, the SRI recorded significantly higher grain yield (5953, 6129 and 6041 kg ha-1 during 2017, 2018 and in pooled means, respectively) over the TP method. Among the different rice cultivars, DRR Dhan 43 registered remarkably higher grain yield than other cultivars during 2017 and 2018.

Due to a growing population, there is a global threat to nutritional security. This shows that the global food system needs to use strategies that are both practical and cost-effective. Fe and Zn are two important micronutrients around the world and micronutrient deficiency in soil has also been reported in different tracts of the world. This makes it harder for plants and, eventually, for people to get the nutrients they need. These micronutrients are very important to the way the body works, so not getting enough of them has very bad effects on the body.

Introduction: Focal impaired seizure is an Complex partial seizures (CPS), where focal (start in one region of the brain) and are accompanied with impairments in consciousness. The majority of them start in the temporal region and have automatisms, an aura, and reduced consciousness. The most typical incorrect diagnosis for CPS that develop in the temporal region is primary psychiatric illness. Case report: A23-year-old male patient arrived with brief episodes of hallucinations, violent behaviour, and altered levels of awareness. According to ICD10 criteria, he was diagnosed with acute and transitory psychotic illness, and he was treated with injectable haloperidol 10mg BID, then oral olanzapine 10mg. Both the electroencephalogram and the brain's computed tomography were normal. He returned to the outpatient clinic after 15 days and complained of aggressive behaviour and sensory misinterpretations. It was advised to do a video electroencephalogram, however owing to nancial limitations, this was not done. Despite the lack of EEG data, the diagnosis was changed and he was put on oral carbamazepine due to a strong clinical suspicion of complex partial seizures. Antiepileptic treatment went well for him, and the symptom remission has held. Conclusion: Persons who appear with psychosis require a thorough diagnostic analysis to rule out any other options.

Critics have faulted the project of general psychology for conceptions of general truth that (1) emphasize basic processes abstracted from context and (2) rest on a narrow foundation of research among people in enclaves of Eurocentric modernity. Informed by these critiques, we propose decolonial perspectives as a new scholarly imaginary for general psychology Otherwise. Whereas hegemonic articulations of general psychology tend to ignore life in majority-world communities as something peripheral to its knowledge project, decolonial perspectives regard these communities as a privileged site for general understanding. Indeed, the epistemic standpoint of such communities is especially useful for understanding the coloniality inherent in modern individualist lifeways and the fundamental relationality of human existence. Similarly, whereas hegemonic articulations of general psychology tend to impose particular Eurocentric forms masquerading as general laws, the decolonial vision for general psychology Otherwise exchanges the universalized particular for a more pluralistic (or pluriversal) general.

Diabetic Retinopathy (DR) has become a major cause of blindness in recent years. Diabetic patients should be screened on a regular basis for early detection, which can help them avoid blindness. Furthermore, the number of diabetic patients undergoing these screening procedures is rapidly increasing, resulting in increased workload for ophthalmologists. An efficient screening system that assists ophthalmologists in DR diagnosis saves ophthalmologists a lot of time and effort. To address this issue, an automatic DR detection screening system is required to improve diagnosis speed and detection accuracy. Appropriate treatment can be provided to patients to prevent vision loss if the severity levels of DR are accurately diagnosed in the early stages. A growing number of screening systems for DR diagnosis have been developed in recent years using various deep learning models, and the majority of the published work did not include any optimization algorithm in the neural network for severity classification. The use of an optimization algorithm with the necessary hyper parameter tuning will improve the model's performance. Considering this as motivation, we proposed a five-phase DFNN-LOA model. The DFNN-LOA algorithm presented here has five phases: (i) pre-processing, (ii) optic disc detection, (iii) segmentation, (iv) feature extraction, and (v) severity classification. The proposed model's experimental analysis is carried out on the MESSIDOR dataset. The experimental results show that the proposed DFNN-LOA model has superior characteristics, with maximum accuracy, sensitivity, specificity, F1-score, PPV, and NPV of 97.6%, 98.4%, 90.7%, 96.5%, 94.6%, and 97.1%, respectively.

In this Project we are designing based on irrigation control using Raspberry Pi, which is designed to tackle the problems of agricultural sector regarding irrigation system with available water resources. In this project, monitoring agriculture field we have used different sensors like soil moisture sensor, temperature sensor and rain sensor with raspberry pi. These monitoring data can be observed on android App. System is worked on two modes,1. auto mode 2. manual mode. In android app we can observe values of all sensors for every 5 or 10 seconds with time and date. According to that values user can on-off the water pump using android app, because it is smart system, it takes its own decision for on-off water pump

A 21-year-old pregnant presented with vaginal mass. On examination a cyst was noted in anterior wall of vagina. On evaluation it is diagnosed as ectopic ureterocoele inserting in to vagina. As patient has no other complaints conservative management is advised and patient is doing well.