bluuebunny/crossref_metadata_2025 huggingface dataset:
Fuzzy recognition of LDPE weathering risk based on environmental parameters
Authors: An Jiangfeng , Wu Jun , Zheng Penghua , Pan Ying , Zhou Xuejie , Yang Mingshu
Published: June 2021

The environmental adaptabilities of low-density polyethylene (LDPE) play an important role for high-speed trains’ reliability and comfort. The weathering of LDPE depends on environment factors, while the complexity of the weathering processes inhibits the evaluation of environmental weathering risks. To elucidate the correlation between weathering and environmental factors, and to predict the weathering risk of target areas of interest, three-year-long natural weathering tests were conducted at twelve natural exposure stations in China. Properties of weathered LDPE were compared and analysed using factor analysis. The fuzzy recognition method based on analytic hierarchy process (AHP) was established and used to predict the weathering risk based on environmental database. The results indicate that the factor scores can partitioned the atmospheric environments into five weathering risk grades. This article used the accumulated cumulative temperature of the daily maximum temperature for weathering risk evaluation, which is more scientific than the annual average temperature widely used and is useful for revealing the difference in LDPE weathering in Turpan and Korla. A comparative chart of LDPE’s weathering risk in China was established by this fuzzy recognition method for the first time, which caters to the continuous extension of high-speed railway to new regions.
Deep learning methods for predicting brain abnormalities and compute human cognitive power using fMRI
Authors: Palraj K. , Kalaivani V.
Published: June 2021

In modern times, digital medical images play a significant progression in clinical diagnosis to treat the populace earlier to hoard their lives. Magnetic Resonance Imaging (MRI) is one of the most advanced medical imaging modalities that facilitate scanning various parts of the human body like the head, chest, abdomen, and pelvis and identify the diseases. Numerous studies on the same discipline have proposed different algorithms, techniques, and methods for analyzing medical digital images, especially MRI. Most of them have mainly focused on identifying and classifying the images as either normal or abnormal. Computing brainpower is essential to understand and handle various brain diseases efficiently in critical situations. This paper knuckles down to design and implement a computer-aided framework, enhancing the identification of humans’ cognitive power from their MRI. Images. The proposed framework converts the 3D DICOM images into 2D medical images, preprocessing, enhancement, learning, and extracting various image information to classify it as normal or abnormal and provide the brain’s cognitive power. This study widens the efficient use of machine learning methods, Voxel Residual Network (VRN), with multimodality fusion architecture to learn and analyze the image to classify and predict cognitive power. The experimental results denote that the proposed framework demonstrates better performance than the existing approaches.
Necessary and sufficient conditions for existence of solutions for initial value problem of fuzzy Bagley-Torvik equation and solution representation
Authors: Pak Sunae , Choe Huichol , Sin Kinam , Kwon Sunghyok
Published: June 2021

In this paper, we investigate the necessary and sufficient conditions for existence of solutions for initial value problem of fuzzy Bagley-Torvik equation and the solution representation by using the multivariate Mittag-Leffler function. First we convert fuzzy initial value problem into the cut problem (system of fractional differential equations with inequality constraints) and obtain existence results for the solution of the cut problem under (1,1)- differentiability. Next we study the conditions for the solutions of the cut problem to constitute the solution of a fuzzy initial value problem and suggest a necessary and sufficient condition for the (1,1)-solution. Also, some examples are given to verify the effectiveness of our proposed method. The necessary and sufficient condition, solution representation for (1,2)-solution of initial value problem of fuzzy fractional Bagley-Torvik equation are shown in Appendix.
A hybrid differential evolution and simulated annealing algorithm for global optimization
Authors: Yu Xiaobing , Liu Zhenjie , Wu XueJing , Wang Xuming
Published: June 2021

Differential evolution (DE) is one of the most effective ways to solve global optimization problems. However, considering the traditional DE has lower search efficiency and easily traps into local optimum, a novel DE variant named hybrid DE and simulated annealing (SA) algorithm for global optimization (HDESA) is proposed in this paper. This algorithm introduces the concept of “ranking” into the mutation operation of DE and adds the idea of SA to the selection operation. The former is to improve the exploitation ability and increase the search efficiency, and the latter is to enhance the exploration ability and prevent the algorithm from trapping into the local optimal state. Therefore, a better balance can be achieved. The experimental results and analysis have shown its better or at least equivalent performance on the exploitation and exploration capability for a set of 24 benchmark functions. It is simple but efficient.
Using a fuzzy multiple criteria decision-making method to evaluate personal diversity perception to work in a diverse workgroup
Authors: Nguyen Huyen Trang , Chu Ta-Chung
Published: June 2021

Understanding employees’ perceptions in team collaboration may help managers select and develop effective teamwork and efficient job completion. Numerous criteria, including qualitative and quantitative, and their importance weights must be considered in evaluating individual diversity perception; therefore, evaluating individual diversity perception is a fuzzy multiple criteria decision-making (MCDM) problem. The purpose of this paper is to use a fuzzy MCDM method to evaluate the personal perception of working in a diverse workgroup. A ranking method using the mean of relative values is proposed to rank the final fuzzy values to complete the model. Formulas of the ranking procedure are derived to help execute the decision-making procedure and a numerical comparison is conducted to demonstrate the advantage of the proposed ranking method. In addition, a survey about personal diversity perception and willingness to work verifies the feasibility and validity of the proposed mean of relative values based fuzzy MCDM method. The results indicate that decision-makers prefer to work in a different countries-same working field group. More experienced decision-makers, unlike students, prefer to work in the same working sector group.
Extraction of plateau lake water bodies based on an improved FCM algorithm
Authors: Li Yingxin , Li Shihua , Peng Shuangyun , Zhao Shoulu , Yang Wenxian , Qiu Lidan
Published: June 2021

Changes in plateau body lake water are an important indicator of global ecosystem changes, and a timely and accurate grasp of this change information can provide a scientific reference for the formulation of relevant policies. The traditional fuzzy C-means clustering (FCM) algorithm takes into account the ambiguity of the classification of the ground object pixels but does not consider the rich spectral information of the neighboring pixels and is very sensitive to the background noise” of the remote sensing image, resulting in low water extraction accuracy. Aiming to compensate for the shortcomings of the traditional FCM algorithm, this paper proposes an improved FCM algorithm. This algorithm replaces the Euclidean distance of the traditional FCM algorithm with a combination of the Mahalanobis distance and spectral angle matching (SAM) to fully take into account the spectral information of neighboring pixels and improve the clustering accuracy. The study selected Sentinel-2 images of the Fuxian Lake and Xingyun Lake basins during normal, wet, and dry periods as the data source. Under the same conditions, the clustering accuracy was compared with the traditional FCM algorithm, improved FCM algorithm, K-means clustering method and iterative self-organizing data analysis (ISODATA) clustering method. The experimental results show that the improved FCM algorithm has a higher water extraction accuracy than the traditional FCM algorithm, K-means clustering method and ISODATA clustering method. The kappa coefficient and overall accuracy (OA) of the improved FCM algorithm can be increased by 5.56%–9.45% and 2.66%–5.32%, respectively, and the omission error and commission error can be reduced by 1.72%–4.55% and 12.14%–22.10%, respectively. When the improved FCM algorithm is used, the extraction accuracy is higher for plateau deep lakes than for plateau shallow lakes, and the extraction effect for lakes with poor water environments is more significant than that of other methods. The improved FCM algorithm better maintains the integrity of the water boundary and overcomes the influence of a certain number of mountain shadows and urban building pixels on the clustering results.
Research on the model of college students’ ideological and political evaluation based on data mining
Authors: Linting
Published: June 2021

In the whole educational system of our country, ideological and political education is an important component, and contains very rich content. With the development of the times, a variety of new information technology methods have been actively applied to the ideological and political practical teaching. At present, the group of college students is growing up with the rapid development of Internet. The “95 after generation” network “indigenous people” has undergone great changes in the evaluation body of Ideological and political education. Evaluation of Ideological and political education of the traditional value orientation gradually deconstructed, a new multi value orientation to penetrate into the body of all aspects of the behavior, must be established in accordance with the characteristics of the times subject evaluation system, the evaluation of “down to earth” and easy to be operated, rather than a mere formality. Based on the actual situation, this paper analyzes the close relationship between data mining technology and the evaluation of College Students’ Ideological and political education, and then focuses on the related problems of College Students’ Ideological and political evaluation model based on data
Research on college English teaching model based on computer network technology
Authors: Shuoyan Xu
Published: June 2021

With the rapid development of social and economic globalization, China starts to pay more and more attention to college students’ English language education. At present, the rapid development of network technology in China has an obvious influence on People’s daily life, work and study, especially on China’s education cause. As a result of the influence, English language education of our country has been constantly reforming its teaching model, so as to improve the comprehensive English ability of college students and enable them to contribute to the development of China’s economic globalization. In this paper the research mainly focuses on the teaching model of college students’ English language education at current stage, and the proposal of education platform based on network technology, so as to promote college students’ comprehensive English ability and meet the requirements of current social development for college English teaching.
A study on the construction of O2O teaching system of college English cross-cultural knowledge based on MOOC artificial intelligence
Authors: Li Min , Lv He
Published: June 2021

In this paper, MOOC-based O2O Teaching System for college English cross - cultural knowledge is introduced to improve the 3P model of traditional English teaching through data analysis of the combined and optimized fitness function and social evolution operator. First, through analyzing and summarizing a large number of domestic and foreign literatures and research results, the construction scheme of MOOC-based O2O Teaching System for college English cross-cultural knowledge was established. Moreover, this paper studies the construction mode of MOOC-based O2O Teaching System for college English cross-cultural knowledge and finally establishes the teaching system, and concludes that colleges and universities should pay attention to the cultural difference in English learning, and emphasis on the cultivation of college student cross-cultural knowledge. The specific path is online education combined with offline education for common development, thereby enhancing college students’ English learning ability and practical ability. To sum up, in college English teaching, we should pay attention to the education of English cross-cultural knowledge, O2O mode for cross-cultural knowledge can be used to combine 3P teaching mode and online education mode in MOOC environment, promoting innovation and development of educational methods under the guidance of the constructivism, so as to improve students’ English proficiency.
Evolutionary game analysis of information sharing by institutional investors
Authors: Li Hua , Lou Qingqing , Sun Qiubai , Li Bowen
Published: June 2021

In order to solve the conflict of interests of institutional investors, this paper uses evolutionary game model. From the point of view of information sharing, this paper discusses four different situations. Only when the sum of risk and cost is less than the penalty of free riding, the evolution of institutional investors will eventually incline to the stable state of information sharing. That is, the phenomenon of hugging. The research shows that the institutional investors are not independent of each other, but the relationship network of institutional investors for the purpose of information exchange. The content of this paper enriches the research on information sharing of institutional investors.
Corpus translation system based on Web Services and its application
Authors: Qi Di , Haladin Nur’ain Balqis
Published: June 2021

In order to construct an efficient translation system, this paper constructs a corpus translation system based on Web Services. Moreover, this paper builds a network term detection system based on machine learning algorithms, expands the corpus data with the support of the crawler system, and uses WEB retrieval translation technology. At the same time, in response to the problem of sentence length changes in English abstracts, this paper proposes a method to obtain standard sentence length changes based on edit distance and SVM sorting. Based on requirements, this paper designs the architecture and data integration process of the data integration system. In addition, this paper outlines the detailed design and implementation process of each module of the system, and proposes a system performance optimization plan, and combines translation requirements to construct a corpus translation system based on Web Services. Finally, this paper designs experiments to verify the performance of the model. The research results show that the system constructed in this paper has a good application effect.
Rank algorithm of web English educational resources based on fuzzy sets and RSS
Authors: Chen Haijun , Yang Weichao
Published: June 2021

In order to improve the acquisition and recommendation effect of English education resources, this paper proposes a Rank algorithm of web English educational resources based on fuzzy sets and RSS, and deeply studies the basic principles of the algorithm and introduces several keyword extraction techniques. The user’s browsing behavior and user interest acquisition methods are classified. Researchers can plan to further explore the page ranking algorithm to improve the performance of the scheme based on the damping factor. In addition, this paper uses Web technology to acquire English education resources and build a recommendation model, and uses crawler technology to build an overall system model. Finally, this paper designs experiments to verify the performance of the algorithm model constructed in this paper, and analyses the experimental results by mathematical statistics. The research results show that the algorithm model proposed in this paper has significant effects and is of great significance to the acquisition and recommendation of English education resources.
Shanxi merchant economic history education system based on fuzzy control and quantum evolution algorithm
Authors: Zhang Haoran , An Haifeng
Published: June 2021

In order to improve the economic history education effect of Shanxi merchants, this paper combines fuzzy control and quantum evolution algorithm to construct Shanxi merchant economic history education system. The purpose of this paper to construct the Shanxi merchant economic history education system is to establish a learning platform on the Internet or local area network that allows students to learn outside the classroom. This system will consist of multiple sub-modules, and it will provide knowledge points and networks, problem sets, student assignments, teacher-student interaction links, and teaching resource management for Shanxi merchant economic history teaching. Moreover, this system will be designed as an open network-assisted teaching system. In addition, this paper designs experiments to verify the performance of the algorithm constructed in this paper. The research shows that the Shanxi merchant economic history education system based on fuzzy control and quantum evolution algorithm constructed in this paper performs well in data mining and also has good performance in practical education.
Research on inventory path optimization of VMI large logistics enterprises based on ant colony algorithm
Authors: Wang Yaoyan
Published: June 2021

Based on the idea of vendor management (VMI) inventory, this paper focuses on the integration and optimization of transportation and inventory control in large-scale logistics system, so as to minimize the total cost of the logistics system. Aiming at the inventory path optimization of VMI large logistics enterprises, based on ant colony algorithm, an improved ant colony algorithm, namely ant colony system algorithm, is designed to solve the model. The algorithm model combines deterministic selection and random selection to obtain a comprehensive probability, and combines local and global pheromone updating. In this paper, we study a two-level supply chain system with multiple customers from one supplier and inventory routing problem. According to the characteristics of inventory routing problem, a single cycle inventory path optimization model with time window constraint based on stochastic demand is established. The goal is to minimize the total system cost, including inventory cost of downstream customers, system transportation cost and penalty cost for not meeting the time window. According to the characteristics of the model, the ant colony algorithm is selected as the optimization method, and the improved ant colony algorithm is designed to solve the example, and the feasibility of the algorithm and model is verified.
Research on music teaching practice based on fuzzy intelligent interactive tablet
Authors: Wei Limin
Published: June 2021

With the development of economy and the progress of science and technology, China, as a powerful country in science and technology and education, has been constantly improving the level of educational informatization and perfecting the basic teaching equipment, which has realized informatization and modernization to a certain extent. This research takes intelligent interactive tablet as interactive means and combines the theories of aesthetics, psychology, pedagogy and fuzzy teaching to research the appreciation, singing and creation aspects of music teaching practice. After three months of teaching practice, the students are evaluated and construct fuzzy cluster evaluation model, investigation and analysis and other methods, which verified that the fuzzy intelligent interactive tablet can provide rich content for music teaching, improve the teaching efficiency of students’ participation, and prove that the fuzzy intelligent interactive tablet has a great auxiliary effect on music teaching.
Preoperative prediction of histologic grade in invasive breast cancer by using contrast-enhanced spectral mammography-based radiomics
Authors: Mao Ning , Jiao Zimei , Duan Shaofeng , Xu Cong , Xie Haizhu
Published: June 2021

OBJECTIVE: To develop and validate a radiomics model based on contrast-enhanced spectral mammography (CESM), and preoperatively discriminate low-grade (grade I/II) and high-grade (grade III) invasive breast cancer. METHOD: A total of 205 patients with CESM examination and pathologically confirmed invasive breast cancer were retrospectively enrolled. We randomly divided patients into two independent sets namely, training set (164 patients) and test set (41 patients) with a ratio of 8:2. Radiomics features were extracted from the low-energy and subtracted images. The least absolute shrinkage and selection operator (LASSO) logistic regression were established for feature selection, which were then utilized to construct three classification models namely, low energy, subtracted images and their combined model to discriminate high- and low-grade invasive breast cancer. Receiver operator characteristic (ROC) curves were used to confirm performance of three models in training set. The clinical usefulness was evaluated by using decision curve analysis (DCA). An independent test set was used to confirm the discriminatory power of the models. To test robustness of the result, we used 100 times LGOCV (leave group out cross validation) to validate three models. RESULTS: From initial radiomics feature pool, 17 and 11 features were selected for low-energy image and subtracted image, respectively. The combined model using 28 features showed the best performance for preoperatively evaluating the histologic grade of invasive breast cancer, with an area under the curve, AUC = 0.88, and 95%confidence interval [CI] 0.85 to 0.92 in the training set and AUC = 0.80 (95%CI 0.67 to 0.92) in the test set. The mean AUC of LGOCV is 0.82. CONCLUSIONS: CESM-based radiomics model is a non-invasive predictive tool that demonstrates good application prospects in preoperatively predicting histological grade of invasive breast cancer.
ECONOMIC AND ENVIRONMENTAL ASSESSMENT OF THE CHOICE OF PLANNING AND ENGINEERING PREPARATION OF TERRITORIES FOR CONSTRUCTION
Authors: Banakh Andrii , Banakh Viktor , Fostashchenko Olena , Fedchenok Oleksandr , Polikarpova Liliia
Published: June 2021

Due to the fact that the process of urban engineering of territories includes procedures for socio-economic and engineering-economic assessment of the planning decision of the territory, there is a need to develop appropriate methods. Common for comparing different areas for construction and engineering preparation of the territory should be considered the amount of costs, consisting of the cost of different types of work to compensate for loss to the stability of the territory, as well as the cost of special studies to identify potential ways to reduce damage and engineering preparation and engineering protection of territory being developed or reconstructed. Damage assessment can be carried out based on the specific location of the territory (a certain part of the site) and landscaping of this area, with due regard for the types of buildings. The inclusion of procedures for the socio-economic and engineering-economic assessment of the planning decision of the territory in the process of urban engineering is justified. The dependences of the total values of losses in case of loss of stability of the territory depending on the type of object are established. Separately, the cost of measures for the engineering preparation of the territory depending on the angle of inclination of the relief was determined. An environmental assessment of the choice of planning option and engineering preparation of the building area is carried out. The largest share in the structure of economic losses from the possible activation of destructive processes in the soil brings housing – about 60% – so special attention in the analysis of anthropogenic impacts on the stability of territories should be paid to anthropogenic factors arising development of housing. The cost of engineering training measures is determined by the capacity of the soil layer, which loses stability, the capacity of the groundwater flow and the angle of inclination of the sliding surface of landslides in unstable areas of housing. To determine the degree of increase in the stability of the territory per unit of costs, it is necessary to take into account both simultaneous and current costs to be developed. Of all the possible options for stabilization measures, the best is the one that, under equal conditions, provides a minimum of reduced costs.
TRENDS OF FORMATION OF SACRED SPACE IN THE TWENTIETH CENTURY
Authors: Gnatiuk Liliia
Published: June 2021

The article analyzes the iconic temples of the twentieth century. The anthroposophical theory of architecture is presented, which assumed that the world and man are permeated by different types of spiritual forces, due to the forms of objects of the visible world can be strengthened or weakened. An understanding of the harmony of forms in the formation of sacred space is presented. The architecture of the sacred constructions erected on the principle of organic architecture is considered. The influence of German Expressionist architects on the formation of the temple architecture they created, as well as the regularity of the use of geometric figures and the use of magic numbers are presented. A look at the mysterious nature of the connection of people in a society that is close to the types of connections that connect religious communities is presented. The forms of individual sacred buildings and ways of organizing their interiors are analyzed, which led to the conclusion that the ideas of the revival of social unity arose as a result of a combination of various elements, such as Christian religion and non-political socialism. The phenomenon of perception of the Church as a social organization is presented, but also of the church as a building, which became a model of a proper social organization in the early 20th century. Perceptions of the Gothic cathedral as a phenomenon of the community association of architects are highlighted. The use of Gothic typography for the design of publications of the early twentieth century is considered. The need to take into account the relationship between certain forms and messages, which are transmitted through them in the formation of sacred space. An attempt is also made to adapt the principles of modernism to the needs of the formation of sacred space. The tendencies of formation of sacred space in the XX century are revealed, namely: Anthroposophical; community worship and liturgical reform.
THE USE OF DATA WAREHOUSES ON THE EXAMPLE OF THE APPLICATION PROCESSING SYSTEM IN GOVERNMENT AGENCIES
Authors: Chernyshev Denys , Tsiutsiura Svitlana , Lyashchenko Tamara , Luzina Yuliia , Borodynia Vitalii
Published: June 2021

This article highlights the issue of the importance of information, the need to ensure its proper storage and use. Nowadays, the question of the importance of studying the functioning of data storage facilities in one of the most common design models – Data Flow Diagram, and data storage (DS or DW) in the whole. A study of abstract devices of this information security model was carried out: types, features and types of data storage, which are used in information systems (relational, multidimensional, and hybrid repositories), from the point of view of using models for presenting data; appearance of warehouses and building rules; Letter identifiers of storages “D”, “C”, “M” and “T” with the help of which the type of storages is determined; features of the numerical part of the identifiers for decompositions of the first and second tier processes; mechanisms that support data retention for their intermediate processing in information systems. Transition of properties and characteristics from physical to logical representation, rationalization of data warehouses by considering the features of the logical model. In the course of the work, the peculiarities of the construction of the DFD and the reflection of the interrelationships in all the component diagrams, defined in the general rules that are valid for the two, were considered. The highlighted issues concern the elements of the diagrams, which can be freely exploited within the borders of Ukraine, as well as the elemental content of the different types of diagrams in the diagrams. The unique functionality of domestic DFD diagrams allows to use a sufficient, albeit limited, elemental structure for construction. Depending on the actual possibilities, the diagrams of the Ukrainian manufacturer are somewhat simplified and imperfect according to modern technologies, but these factors do not diminish the importance and necessity of adequate data protection at the highest level. Therefore, in this work, the main most informative moments of the use of this or that type of storage, the demand for DS, in the field, are highlighted, possible advantages and disadvantages of using physical data storage facilities and features of virtual operation.
PRACTICAL QUALITY ANALYSIS OF OPEN SOURCE SOFTWARE
Authors: Kataieva Yevheniia , Odokienko Svetlana , Luta Maya , Savchenko Yaroslav
Published: June 2021

The success of any project is determined by its ability to meet the needs of the consumer, and therefore ensuring a high level of quality is a necessary task of any production, including software engineering. Insufficient quality of the created software requires many IT-organizations, up to 70% of the budget of the information system to reserve for the maintenance stage, with up to 60% of all software modifications performed to eliminate errors, and only the remaining 40% - to correct software within the business process, improvement certain indicators of software quality, or to prevent potential problems. Software quality is a complex concept. Standards highlight the quality of development processes, internal and external quality of the software product, the quality of the software product at the stage of use. For each of the components of quality can be called a set of metrics that determine the quality of the software product. The resulting structure is called the software quality model. Software metrics are a measure that allows you to get the numerical value of a property of software or its specifications, as well as the method of its calculation. Metrics allow you to get numeric values for each property of the software or its specifications. Of particular interest are software complexity metrics. Complexity is an important factor on which other parameters of software quality depend, such as accuracy, correctness, reliability, convenience of support. The existence of methods and algorithms for automatic calculation of software complexity metrics using software allows you to get a comprehensive formal report on the quality of software in a short time. This allows for objective monitoring of the quality of software throughout the project life cycle, make adjustments to the project plan, as well as make timely decisions about the need for refactoring.
PENGHITUNGAN RISIKO DALAM KEPUTUSAN INVESTASI PADA EMITEN SEKTOR KONSTRUKSI INDEKS KOMPAS100 DENGAN METODE CAPITAL ASSET PRICING MODEL DAN RASIO PROFITABILITY SETELAH MASA PANDEMIC COVID-19
Authors: Sumendap Steinly , Pontoh Winston , Budiarso Novi Swandari
Published: June 2021

The risk in an investment activity is always there and it cannot be denied that these risk factors influence someone to invest. After the Covid-19 pandemic period and vaccines have been carried out so that development in Indonesia will start running again. So the CAPM (Capital Asset Pricing Model) approach in assessing a stock that is less risky to the overall market price in the Kompas100 index and the NPM (Net Profit Margin) probability ratio on stocks that are always able to generate profits every year are expected to help the public and potential investors. in making investment decisions in accordance with the risk profile.
Medical Ethics during the COVID-19 Pandemic
Authors: Coşkun Sevim , Örnek Büken Nüket
Published: June 2021

WHO states five ethical principles for the care of patients with COVID-19: Equal moral respect, duty of care, non-abandonment, protection of the community, and confidentiality. Healthcare professionals might have to make difficult decisions such as selecting patients and withholding or withdrawing mechanical ventilation of critically ill patients. In such difficult situations, a well-prepared action plan which considers ethical principles and prioritizes both public health and the safety of healthcare professionals, can help them. In this case, the development of an effective pandemic action plan, together with a triage plan based on emergency and disaster medicine is necessary. The only parameter of selection in this plan must be the correct application of triage, which respects every human life and depends on the criteria of clinical suitability. In this context, the fundamental ethical principles and human rights must be considered when allocating resources and prioritizing patients. Additionally, all protective measures for healthcare professionals must be taken, including all necessary equipment being adequately provided. If healthcare professionals become infected or face a life-threatening risk, then their obligations will be limited. Therefore, it is necessary to realize these limitations which may arise while providing appropriate health services.
Dengue Fever Classification Based on Grey Level Co-occurrence Matrix Feature
Authors: Deshmukh Ragini , Degadwala Dr. Sheshang , Mahajan Arpana
Published: June 2021

White blood cells have attracted tremendous interest in recent times due to their promise in providing innovative new treatments for a great range of currently debilitating diseases. This is due to their potential ability to regenerate and repair damaged tissue, and hence restore lost body function, in a manner beyond the body’s usual healing process. White blood cells have potential to divide themselves (through mitosis) to produce more White Blood Cells. Any disease that results in cellular and tissue destruction can potentially be treated by WBC cells. Detection of WBC cells has become an important part in modern medicine to diagnose any disease at its prior onset. But due to their characteristics to change their shape, size and colour at different intervals of time it becomes quite difficult to detect and segment them, as this research is going on to detect WBC cells by using the most efficient algorithm among all that have been studied in the literature survey.
Image Encryption Using Key Matrix Generation from Biometric Mixed Fingerprint Image for Two Level Security
Authors: Randeri Megha D. , Degadwala Dr. Sheshang D. , Mahajan Mrs. Arpana
Published: June 2021

In recent Era, Security has been most important issue to be considered with different forward looking and preventing measures. Several cryptographic algorithms are developed for encryption and decryption using a secret key. The issue with this strategy is that user ought to recall the key or store the key in a database, which make the framework under danger. Once the put away key is bargained, at that point an attacker can get to the private information effectively. To maintain uniqueness of key, a biometric feature such as fingerprint can be used, whereas randomness can be induced using different combinations of fingerprints. In this paper, we propose a technique to generate the key matrix by extracting minutiae points from the combined minutiae template of fingerprints of the sender and receiver. This system contains four phases. One is Enrolment Phase, second is Authentication Phase, third is Key Generation phase and last is Cryptographic phase. For encryption of the original image using generated key matrix, we use Hill cipher.
QR Code Based Online Booking for Sports Complex System
Authors: Shastri Harsh , Maheshwari Bhavesh , Ojha Gajendra , Padhiyar Bhakti , Raval Pratiksha , Degadwala Dr. Sheshang
Published: June 2021

Booking an appointment online has grown in popularity over the past few years. Many different types of business use some type of web based online appointment management system help make the appointment setting process more streamlined. An online appointment management system allows player to register and book appointments with their advisers. Web applications have helped in streamlining many of the tasks we perform on a daily basis, and have made our lives easier. These applications are widely used to assist players and sport complex management. In the past, these appointment processes were done manually and, because of this, there were many instances of overbooking or forgetting to cancel an appointment, which could free up the space to schedule another in its place. To eliminate human error due to setting appointments manually, a web/mobile application will be developed to make the scheduling process easier. In addition, it will give verification based on unique QR code generates at the time of booking.
A experiência do laringectomizado e do familiar em lidar com as conseqüências da radioterapia
Authors: Oliveira Fabiana Schirato de , Zago Márcia Maria Fontão
Published: June 2021

O objetivo geral deste estudo foi descrever a experiência do laringectomizado e familiar em lidar com as reações provocadas pela radioterapia. Participaram do estudo nove laringectomizados submetidos ao tratamento nos últimos 12 meses e sete familiares. Os dados foram coletados de setembro/2001 a abril/2002. A coleta de dados foi direcionada por um instrumento com questões abertas e fechadas. Os dados foram analisados em relação à freqüência dos conteúdos. Os resultados mostraram que as reações mais freqüentes e consideradas como piores foram a queimadura na pele e as reações na orofaringe; algumas das ações usadas para minimizá-las são derivadas das crenças culturais acerca do tratamento. As percepções do tratamento foram descritas pelos sentimentos de medo, descrença, indiferença e como traumática. As dificuldades dos familiares em lidar com a experiência estavam relacionadas com o aumento da responsabilidade do cuidador, a falta de informação para oferecer apoio, a preocupação e o desânimo com a situação do paciente. Concluímos que a experiência da radioterapia mostrou ser um processo que acentua o sofrimento do paciente, pois as informações recebidas foram insuficientes, levando a ações nem sempre efetivas. Ressaltamos a importância da atuação dos profissionais na avaliação contínua das condições físicas e emocionais do paciente, no processo educativo do paciente e família e na elaboração de um folheto informativo para suprir as necessidades comuns aos envolvidos.
Avaliação do escarro induzido no diagnóstico do carcinoma brônquico
Authors: Miranda Daniela Gagliardi Nesi , Jamnik Sérgio , Santoro Ilka Lopes , Uehara Cesar
Published: June 2021

Introdução: o diagnóstico não invasivo de carcinoma brônquico é extremamente útil e prático, facilitando a conduta terapêutica. Objetivo: avaliar a sensibilidade e a especificidade da citologia do escarro induzido e do escarro espontâneo no diagnóstico do carcinoma brônquico e o rendimento do escarro induzido em relação às características da lesão. Casuística: foram estudados 42 pacientes portadores de carcinoma brônquico - entre abril de 1998 e abril de 1999 - sendo avaliada a citologia do escarro induzido com solução hipertônica a 3% (n = 42) e a citologia do escarro espontâneo (n = 35). Resultados e Discussão: a sensibilidade obtida foi de 7,7% e 19,2% e a especificidade foi de l00% e 85,7%, respectivamente, para a citologia do escarro espontâneo e do escarro induzido (n=33). A concordância entre a citologia do escarro induzido e espontâneo foi fraca, contudo a sensibilidade do escarro induzido foi superior à do escarro espontâneo, sendo que a citologia do escarro induzido apresentou alta especificidade, porém baixa sensibilidade. A relação entre a citologia do escarro induzido e a invasão de brônquios principais e traquéia pelo tumor apresentou significância limítrofe (p=0,086). Quanto à localização da lesão, visibilidade endoscópica e tipo histológico, não houve associação significativa.
Avaliação da Amplitude de Movimento do Ombro em Mulheres Mastectomizadas Pela Biofotogrametria Computadorizada
Authors: Baraúna Mário Antônio , Canto Roberto Sérgio Tavares , Schulz Evelyn , Silva Ruiz Angelo Ventura da , Silva Cristiano Diniz Campelo , Veras Márcia Teresa da S. , Freitas Vanessa Resende , Silva Viviane Christine C. , Baraúna Karla Maria Pereira , Baraúna Paula Maria Pereira
Published: June 2021

Objetivos: O propósito dessa pesquisa foi avaliar quantitativamente a amplitude de movimento (ADM) do ombro (flexão, extensão, abdução) em mulheres mastectomizadas, comparando-o com o lado contra-lateral à cirurgia, a fim de verificar se há limitação significativa dos movimentos da articulação do ombro. Métodos: Participaram deste estudo 29 mulheres mastectomizadas com idade entre 33 e 80 anos, com 6 meses ou mais de pós-operatório, em acompanhamento oncológico no Ambulatório de Mastologia do Departamento de Ginecologia e Obstetrícia da Universidade Federal de Uberlândia. Para a análise dos dados, realizada no Laboratório na Análise do Movimento do Centro Universitário do Triângulo, utilizou-se como instrumento de quantificação da amplitude de movimento do ombro a Biofotogrametria Computadorizada. Para tanto foi necessário registrar as imagens dos movimentos acima descritos e posteriormente digitalizá-las e quantificá-las através do programa ALCimage 2.1®. Resultados: Para a análise estatística foi aplicado o teste de Wilcoxon com nível de significância em 0,05 em uma prova bilateral. De acordo com os resultados, foram encontradas diferenças significantes nos movimentos de flexão do ombro homolateral à mastectomia quando comparadas com o lado contra-lateral. Conclusão: Verificou-se diminuição significativa no movimento de flexão do ombro homolateral à mastectomia.
Cirurgião Oncológico, fator de prognóstico no tratamento do câncer
Authors: Souza Filho Odilon de
Published: June 2021

Há alguns anos a cirurgia oncológica vem sendo reconhecida como uma especialidade cirúrgica com importante papel no tratamento de câncer. O cirurgião oncológico tem a responsabilidade de promover a saúde oncológica na área cirúrgica, sendo um diferencial construtivo na sobrevida dos pacientes e no enfoque de qualidade e reabilitação que o tratamento oncológico deve trazer consigo.
Imunoexpressão da proteína de reparo hMSH2 em queilite actínica e mucosa labial normal
Authors: Pontes Hélder Antônio Rebelo , Aguiar Maria Cássia Ferreira de , Mesquita Ricardo Alves de , Pontes Flávia Sirotheua Corrêa , Silveira Júnior João Batista da
Published: June 2021

A queilite actínica é a principal lesão pré-neoplásica do lábio. A exposição crônica à radiação solar é apontada como o principal agente etiológico, tanto para a queilite actínica como para o carcinoma epidermóide do lábio. Porém, estudos complementares são necessários para ajudar a mapear os eventos moleculares indispensáveis para que ocorra a progressão da queilite actínica para esta neoplasia. A proteína hMSH2 do reparo de bases mal pareadas do DNA interage com algumas proteínas integrantes da principal via de reparo dos danos ocasionados pela radiação ultravioleta, o reparo de excisão de nucleotídeo. Portanto, é importante avaliar esta proteína em queilites actínicas. Este estudo teve como objetivo descrever e analisar a imunoexpressão da proteína hMSH2 em amostras de queilites actínicas com várias graduações histológicas (discreta, moderada e acentuada), assim como no epitélio do lábio inferior normal. Os resultados não mostraram diferenças estatísticas entre as várias graduações histológicas das queilites actínicas entre si, assim como não houve diferenças estatísticas significativas entre as amostras de queilite actínica e a mucosa labial normal. Esses resultados sugerem que a proteína hMSH2 não participa da progressão de queilite actínica para carcinoma epidermóide no lábio, no entanto, mais estudos são necessários para melhor compreensão da participação do reparo de bases mal pareadas neste processo.
Câncer de mama e gravidez subseqüente: um olhar sociocultural
Authors: Vieira Roberto José da Silva , Gomes Romeu , Trajano Alexandre José Baptista
Published: June 2021

O estudo objetiva analisar as representações sociais da relação entre câncer de mama e gravidez de mulheres que vivenciaram gravidez subseqüente e analisar a lógica das pacientes que não seguiram os protocolos oncológicos determinados e orientados por seus médicos, esquecendo da doença que as acomete e privilegiando o desejo de ser mãe. A fundamentação teórica se baseia na discussão sobre a perspectiva sociocultural da doença; a posição dos sujeitos da saúde/doença no espaço social e a dimensão simbólica do câncer de mama. O desenho metodológico consiste em um estudo exploratório de natureza qualitativa. Dentre os resultados, destaca-se que, se por um lado as pacientes chegam aos consultórios sem informações adequadas acerca da doença, por outro lado, as representações sociais do câncer fazem parte do imaginário feminino que considera o câncer como uma doença que mata e a gravidez como possibilidade de vida e realização. Em termos conclusivos, destaca-se a importância de se ter um conhecimento das questões subjetivas e socioculturais por que passam as mulheres, para entendê-las e, assim, melhorar o trabalho clínico de atendimento médico. Junto a isso, também existe a necessidade de políticas de saúde pública que visem a informar a população, adequadamente, quanto aos perigos, urgências e tratamentos preventivos em relação às doenças que acometem as mulheres, como o câncer de mama.
Carcinoma epidermóide do pênis: considerações epidemiológicas, histopatológicas, influência viral e tratamento cirúrgico
Authors: Paula Adriano Augusto Peclat de , Almeida Netto Joaquim Caetano , Cruz Aparecido Divino da , Freitas Júnior Ruffo de
Published: June 2021

O carcinoma epidermóide do pênis, embora raro em países desenvolvidos, está associado à alta morbidade decorrente da própria doença e/ou de seu tratamento. O perfil social, econômico e cultural dos pacientes com carcinoma peniano dificulta o diagnóstico precoce, o tratamento e o seguimento dos enfermos. Os diferentes sistemas de estadiamento e a falta de padronização de condutas clínicas contribuem para vieses na avaliação individual dos casos e resultam em dificuldades na abordagem terapêutica. Não existem estudos prospectivos, randomizados e com amostragem suficiente que permitam estabelecer a conduta mais adequada nos diversos estádios da enfermidade. Algumas dúvidas referentes ao manejo das regiões inguinais permanecem ainda sem resposta. Neste contexto, merecem maior atenção os pacientes com ausência de linfonodos inguinais suspeitos, porém com tumores profundos e de alto grau histológico, o que caracteriza risco intermediário de doença oculta. Vários pacientes são submetidos à linfadenectomia desnecessariamente, enquanto uma parcela dos casos com doença inguinal oculta é colocada em vigilância, retardando-se o tratamento. Avanços nas técnicas de imunohistoquímica e biologia molecular têm permitido identificar o papel de vírus epiteliotrópicos, como o papilomavírus humano (HPV), na etiologia e prognóstico do carcinoma peniano. Estudos multicêntricos deveriam ser realizados na tentativa de identificar as principais variáveis de prognóstico do carcinoma epidermóide peniano, possibilitando assim uma melhor abordagem clínica destes tumores.