Volume 11 | Issue 6 |

 Abstract

Medullary breast cancer, first described by Foote and Moore in 1949 is a rare cancer, encountered in less than 5% of cases in the majority of series. It arouses great diagnostic interest because its prognosis is favorable and its metastatic potential is low. It raises about it many controversies on its frequency, its therapeutic indications and its prognosis. The histological diagnosis imposes very strict criteria allowing its distinction from other types of invasive breast cancer. Surgery is the cornerstone of treatment, due to the good prognosis of medullary breast cancer, conservative treatment is the gold standard for surgical treatment. Radiation therapy strengthens the local control that surgery offers. Systemic therapy is aimed at treating metastases. We report the case of a mammary medullary cancer diagnosed in a 37-year-old patient whose surgical treatment consisted of a mastectomy with ipsilateral axillary dissection with adjuvant treatment combining radio and chemotherapy.

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 Keywords

Breast, Carcinoma, Medullary

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Creative Commons Attribution 4.0 and The Open Definition

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Security for women has become a major issue as the number of crimes over women and girls increasing day by day. This article makes use of new perspective to use technology to protect women. We use an android based smart phone with an integrated feature that alert and provide location based Information. This Document describe GPS based ‘Women Security System’ that provides the combination of GPS devices as well as provide alerts and message with an emergency button Trigger. Whenever somebody is in trouble, they only have to press a button after that a message alert is sent to register contact list to the number registered first and give a message like ‘I AM In TROUBLE PLEASE HELP ME’. Now a day safety of women is becoming very poor. With the help of this application, we can help women. The development in Android with Graphical User Interface provides the level of reliability, availability and compatibility.

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 Keywords

Security, Android, GPS, Science & Technology, Mobile Computing

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Creative Commons Attribution 4.0 and The Open Definition

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The state also can if resources permit make sure that it fulfils the obligation to make sure reproductive, maternal, prenatal, in addition to publish-natal and toddler health care, offer immunization in opposition to the foremost infectious sicknesses happening in the network, make measures to prevent, treat and manage epidemic and endemic disorder, and provide suitable training for health personal consisting of schooling on health and human rights. Violations of the right to health can arise thru the direct motion of states or different entities insufficiently regulated by means of the states. The adoption of any retrogressive measures well matched with health duties underneath the right to health mentioned within the well-known covenants constitutes a contravention of the right. Violations through acts of fee consist of the formal recognize or suspension of legislations essential for the continuing entertainment of the right to health or the adoption of law or policies which might be manifestly incompatible with pre-existing home or worldwide criminal duties with regards to the right to health. Violation via acts of omission include the failure to take suitable steps closer to the total consciousness of all of use's right to the amusement of the very best achievable general of physical and mental health, the failure to have a country wide coverage on occupational health offerings and the failure to put in force relevant laws. Violations of the responsibility to admire are those kingdom actions, regulations or legal guidelines that contravene the standards set out inside the article. 12 of the ICESCR and are possibly to bring about bodily damage, pointless morbidity and preventable mortality. Examples consist of denial of get right of entry to health centres, items or offerings due to discrimination; deliberate withholding or misrepresentation of information crucial to health safety or remedy, suspension of rules or adoption of legal guidelines or regulations that intervene with the amusement of the right to health.

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 Keywords

Health, Constitution

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Dengue fever is a viral illness that is spread through infected mosquitoes. It affects millions of people each year and is caused by four different serotypes of the dengue virus (DEN-1,-2,-3,-4), which are transmitted through the bite of infected Aedes mosquitoes. The disease is prevalent in tropical and subtropical regions around the world, with an estimated 390 million infections per year. The signs and symptoms of dengue fever can be mild or severe, and they usually develop within a week of being bitten by an infected mosquito. Some common symptoms of dengue fever include high fever, severe headache, muscle and joint pain, swollen lymph nodes, and a rash on the skin. The dengue virus is transmitted by mosquitoes that are infected with the virus. These mosquitoes usually breed in stagnant water, such as in buckets, flower pots, discarded tires etc. When a mosquito bites a person who is infected with dengue fever, they become infected with the virus as well. The mosquito can then spread the virus to other people by biting them. This is why dengue fever is most common in areas where mosquitoes are prevalent. There is currently no cure for dengue fever, but there are treatments available that can help to relieve the symptoms. These treatments include rest, drinking plenty of fluids, and taking pain relievers such as acetaminophen. In severe cases of dengue fever, hospitalization may be necessary. Traditional treatments for dengue fever are limited to symptomatic relief while the virus runs its course. However, recent studies have shown promising results in the use of papaya leaves as a natural remedy for dengue fever.

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Dengue, Papaya Leaves, Home remedy

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Creative Commons Attribution 4.0 and The Open Definition

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This paper presents the significance of hydraulic forklift. In modern life, there are many types of forklifts, from a large heavy loading truck to one operating between narrow corridors. Forklifts have become one of the basic transportation tools we use in our lives. With all the existing forklifts, we find that there are improvements that can be made to bring the forklift to better performance. The design of the existing forklift is limited in rotation and the structure has a potential safety hazard. Our new design has 180 rotating forks attached to the body of the truck at both ends. Also, it has a screed height under the user's cabinet that enhances stability. By measuring and analyzing the machine's vibration, it is possible to determine both the nature and severity of the defect, and hence predict the machine's failure. The vibration signal of a gearbox carries the signature of the fault in the gears, and early fault detection of the gearbox is possible by analyzing the vibration signal using different signal processing techniques. This paper presents analysis of vibration in gears using modal analysis and FFT analysis. It also presents analysis of gears with crack and gear with missing teeth. It also presents the analysis of Natural frequency in steady as well as running condition.

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Forklift, Ductile Iron, Steel 4340, Mesh, SOLIDWORKS, ANSYS

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Creative Commons Attribution 4.0 and The Open Definition

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Phyllodes tumors are rare ; fibroepithelial tumors that represent <1% of tumors of the female breast. These tumors are often unilateral , benign breast tumors in women(70%) ,Rare are the malignant phyllodes. Surgery is the mainstay of treatment. Large excisions with 1 cm margins are suggested. While smaller and medium-sized phyllodes tumors can usually be seen, gigantic tumors are very rare observed in neglected tumors and pose a burden to the surgeon to reconstruct a breast aesthetically acceptable to the patient and have healthy boundaries. By definition, a giant phyllodes is greater than 10 cm in diameter . We report the case of a patient with a large phyllodes tumor that developed over a period of 5 years causing ulceration and disfigurement of the breast and we will study the main characteristics of these tumors and their management

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 Keywords

Malignant phyllodes tumors , breast cancer

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Creative Commons Attribution 4.0 and The Open Definition

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Indian financial sector is witnessing a faster digital transformation significantly after 2016 Demonetization policy. Indian Govt. is trying to decrease the amount of paper currency by making new regulations and implementing policies to ensure data protection and smooth on-line financial transactions. The main purpose of these policies was to induce access of banking services for the unbanked and under banked population of the country. Fintech Adoption in country is driven by digital increased financial awareness and literacy. The Indian Fintech Market is expected to attain revenue of $200 billion by 2030. India has the highest Fintech adoption rate globally at eighty seven percent. With increasing customer base these ventures starts providing new financial services beyond transactions and lending business such as Insuretech, lendingtech, Neo-banking, crowd funding, Robo advisory etc. These businesses are using new technologies like, Block chain, Artificial intelligence and Aadhaar enabled service for e- signing, instant robotic response to provide more personalized services to users at cheaper costs for faster transactions. Data security and lack of tech expertise are the biggest challenges faced by Fintech Ventures in India. To grow in Indian economy, Fintech companies have to play the collaborating role in the industry rather than disrupting the traditional financial institutions at least for some years due to difficulties faced by Fintech ventures in raising funds, finding new customer base, lack of awareness among under banked population and fear of unauthorized data sharing.

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Fintech, Financial inclusion, Neo- Banking, Artificial intelligence

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Creative Commons Attribution 4.0 and The Open Definition

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The spread of a rumor's information happens more quickly than ever before because to the bridge that billions of mobile phones provide between mobile sensor networks and social networks. Because of this, rumor dispersion becomes a significant problem in those two networks, and understanding how to predict it is crucial when dealing rumors that initially have only a minor influence. Modern diffusion models, however, neglect the microcosmic individual impact in favor of the macroscopic group impact. Since there is only one rumor spreader at the start of rumor diffusion, they are not appropriate to perform rumor diffusion prediction. We suggest a unique game theory-based model dubbed the Equal Responsibility Rumor spreading Game Model (ERRDGM) to simulate the rumor spreading process in order to address that issue and predicate it. In this model, we first show the diffusion process as a game between people and their neighbours who decide whether to retweet or not based on their game revenues; second, the players will split the responsibility of spreading a rumor in calculating their game revenues; and finally, when the game reaches the Nash equilibrium state, we build the rumor diffusion prediction graph which shows the diffusion scale and network structure of rumor diffusion in a system.

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 Keywords

: Social Networks, Rumor Diffusion, Game Theory Model, Nash Equilibrium State.

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Creative Commons Attribution 4.0 and The Open Definition

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Gangrene is a severe medical condition characterized by the death of body tissues due to a lack of blood supply or infection. Timely and accurate prediction of gangrene can significantly impact patient outcomes and guide appropriate medical interventions. This paper provides an overview and analysis of machine learning-based prediction models for gangrene. We begin by discussing the clinical significance of gangrene, its causes, and the challenges associated with its prediction. We emphasize the need for early detection and intervention to prevent further tissue damage and potential complications.Various machine learning algorithms, including logistic regression, K-Nearest Neighbors, support vector machine, naive bayes, decision trees and random forests, are examined for their application in gangrene prediction. We explore the features and data sources commonly used in these models, such as patient Diabetis, blood pressure, heart rate, respiratory rate, body temperature, skin condition and line of demarkcation. Additionally, we discuss the importance of feature selection and extraction techniques to enhance the predictive performance of the models. Data preprocessing steps, including missing data imputation, outlier detection, and normalization, are addressed to ensure data quality and model robustness. We delve into the evaluation metrics employed to assess the performance of gangrene prediction models, such as accuracy.

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 Keywords

Logistic regression, K-Nearest Neighbors, SVM, Naive Bayes, Decision trees, Random forests.

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To emphasize the positive experience of using innovative teaching methodologies among healthcare providers and the effectiveness of CPR through the use of high-fidelity mannequins rather than standard once. The aim of the study was to analyze how high-fidelity simulation training may impact knowledge, clinical performance and confidence levels of undergraduate students and compare this with low fidelity simulation traditional teaching methods. "An Quasi experimental design, Purposive sampling technique was used to select 50 students of first year B.Sc. nursing. Pretest was taken for initial knowledge assessment which was followed by a structured teaching program on high and low fidelity CPR simulation. Furthermore, post-test was taken to assess the knowledge and comparison between pre and post-test scores which are analyzed by using descriptive and inferential statistics. The experimental group shows that overall knowledge mean score in pretest was 14.26 that was increased with 19.22 in post-test. The mean difference found 4.96 after completion of the structure teaching program that clearly indicates that the knowledge among students has been increased.

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 Keywords

Innovative teaching methodologies, CPR, Low-fidelity simulation, High- fidelity simulation, Simulator, Mannequins, knowledge, effectiveness, comparison.

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Creative Commons Attribution 4.0 and The Open Definition