Enhancing and Detecting the Lung Cancer using Deep Learning

In the medical sector cancer detection became the most challenging task. Here a lot of research is carried out by the scientific fraternity. Most medical issues are getting better answers because to modern technology like artificial intelligence and models based on neural networks. In this the first half part of the paper discuss about the CNN model by using regularization and augmentation techniques for getting the better accuracy result. The second part delas with developing and demonstrating an application for detecting the lung cancer using the deep learning (DL). Here the application is built using flask which works based on the Python programming language. This acts as an application programming interface (API) between the cloud server and the proposed application mod el. Heroku cloud platform was used as a service base to launch the software and to use the application with highest reliability. The internal functionality of the anticipated model is created on convolutional neural network (CNN) architecture with ten layers to obtain high accuracy. The model demonstrated a considerable training and validation accuracy of 94% and 92% respectively

IMPROVING STUDENTS’ WRITING SKILL IN RECOUNT TEXT BY USING FACEBOOK CLOSED GROUP

This study is a collaborative action research. The general objective of this study is to improve students’ writing skill in recount text using facebook closed group. While, the specific objectives of this study is to find out whether or not facebook closed group can be a media for students and teacher in learning to write recount text outside of class and it describe whether facebook closed group could improve students’ writing skill especially in writing recount text. This collaborative action research was conducted at SMA 1 Sultan Agung Semarang. The sample of this study is students in tenth grade of Mipa 2. The procedure of this study consisted ofplanning, action, observing, and reflection. The observation during Englishteaching process was helped by collaborator. This study is quantitative therefore; the data was collected through interview, students’ writing result, and observation sheet. The students were given homework to write their recount text on facebook closed group and for each cycle they was given a test to make a recount text. The result showed that their score was improved in each cycle. In the first cycle there were only 6 studets who pass the passing grade score, while in the cycle 1 there were 29 students who pass the passing grade score. In the last cycle all of the students’ score in Mipa 2 class was pass the passing grade. The result of this study proved that facebook closed group improved students’ writing skill especially in writing recount text.Keywords: Facebook Closed Group, Recount Texts, Students’ Ability, andQuantitative Action Research

Comparative Analysis of CNN Regularisation and Augmentation Techniques with Ten Layer Deep Learning Model To Detect Lung Cancer

In the medical sector cancer detection became the most challenging task. Here a lot of research is carried out by the scientific fraternity. Most medical issues are getting better answers because to modern technology like artificial intelligence and models based on neural networks. In this the first half part of the paper discuss about the CNN model by using regularization and augmentation techniques for getting the better accuracy result. The second part delas with developing and demonstrating an application for detecting the lung cancer using the deep learning (DL). Here the application is built using flask which works based on the Python programming language. This acts as an application programming interface (API) between the cloud server and the proposed application model. Heroku cloud platform was used as a service base to launch the software and to use the application with highest reliability. The internal functionality of the proposed model is based on convolutional neural network (CNN) architecture with ten layers to obtain high accuracy. The model demonstrated a considerable training and validation accuracy of 94% and 92% respectively

Expanding Conventional Seismic Stratigrphy into the Multicomponent Seismic Domain

Multicomponent seismic data are composed of three independent vector-based seismic wave modes. These wave modes are, compressional mode (P), and shear modes SV and SH. The three modes are generated using three orthogonal source-displacement vectors and then recorded using three orthogonal vector sensors. The components travel through the earth at differing velocities and directions. The velocities of SH and SV as they travel through the subsurface differ by only a few percent, but the velocities of SV and SH (Vs) are appreciably lower than the P-wave velocity (Vp). The velocity ratio Vp/Vs varies by an order of magnitude in the earth from a value of 15 to 1.5 depending on the degree of sedimentary lithification. The data used in this study were acquired by nine-component (9C) vertical seismic profile (VSP), using three orthogonal vector sources. The 9C vertical seismic profile is capable of generating P-wave mode and the fundamental S-wave mode (SH-SH and SV-SV) directly at the source station and permits the basic components of elastic wavefield (P, SH-SH and SV-SV) to be separated from one another for the purposes of imaging. Analysis and interpretations of data from the study area show that incident full-elastic seismic wavefield is capable of reflecting four different wave modes, P, SH , SV and C which can be utilized to fully understand the architecture and heterogeneities of geologic sequences. The conventional seismic stratigraphy utilizes only reflected P-wave modes. The notation SH mode is the same as SH-SH; SV mode means SV-SV and C mode which is a converted shear wave is a special SV mode and is the same as P-SV. These four wave modes image unique geologic stratigraphy and facies and at the same time reflect independent stratal surfaces because of the unique orientation of their particle-displacement vectors. As a result of the distinct orientation of individual mode's particle-displacement vector, one mode may react to a critical subsurface sequence more than the other. It was also observed that P-wave and S-wave do not always reflect from the same stratal boundaries. The utilization of full-elastic seismic wavefield needs to be maximized in oil and gas explorations in order to optimize the search for hydrocarbons

Is Congruence a Predictor of Satisfaction with the Choice of Degree Program among University Students in Kenya

A lot of studies carried out in Kenya have examined the factors that lead to a student’s choice of degree program with most reports suggesting that parents and peers have significant influence. The extent to which the personal attributes lead to the choice of degree program has not been examined. This study examined congruence as a predictor of satisfaction with the choice of degree program. The Self Directed Search 4th Edition questionnaire by (Rosen, Holmberg, & Holland, 1994) and a satisfaction scale were used to gather information. The results indicated that majority of the students were satisfied with their choice of degree program. Congruence was found to be weak predictor of the choice of degree program (r=.04, n = 389, .433), and significantly negatively correlated with satisfaction with the degree program (r=-.099, n=389, p=.051). The study concluded that congruence is a predictor of choice of the degree program but not a strong predictor of satisfaction. Key words: Congruence, Satisfaction, and Choice of degree program

Factors Influencing The Use Of Episiotomy During Vaginal Delivery In South Eastern Nigeria

Background: Given considerable evidence that routine episiotomy increases maternal morbidity and without evidence to support maternal or neonatal benefit, has episiotomy use changed among health care providers? To date, very limited information exists relating to the past and current practice of episiotomy in many developing countries. Objective: To determine the prevalence of episiotomy at Aba in South Eastern Nigeria, examine factors influencing the performance of episiotomy and document complications associated with the procedure. Design: A hospital based retrospective study. Setting: The Abia State University Teaching Hospital (ABSUTH), Aba in South Eastern Nigeria, from January 2001 to December 2005. Subjects: Four thousand, one hundred and seventy two mothers who delivered vaginally within the study period. Results: There were 1877 episiotomies, for an episiotomy rate of 45%. Ninety per cent of the primigravid parturients had episiotomy. Women undergoing episiotomy were younger (mean age 24.7 years; range 16-37) than women without episiotomy (mean age 28.5 years, range 20-43). When controlled for parity and maternal age, other risk factors were occipito-posterior position, vacuum extraction, forceps delivery, vaginal breech delivery, and a history of Caesarean section. Episiotomy use was also associated with major perineal lacerations and increased length of hospital stay. Conclusion: The episiotomy rate of 45 per 100 vaginal deliveries in this study is obviously higher than evidence-based recommendations for optimal patient care. A policy of systematic reduction in the incidence of episiotomy can be pursued in this hospital. Greater attention needs to be paid to selection of women to undergo episiotomy. East African Medical Journla Vol. 85 (5) 2008: pp. 240-24

Pregnancy outcome in booked and unbooked mothers in Southeastern Nigeria

Background: In order for individual health institutions in Nigeria to contribute towards the achievement of the Millennium Development Goals (MDG) with regards to maternal health, there is need for research on the local causes of and factors influencing adverse maternal outcomes. This would enable care providers and policy makers appreciate the burden of the problem and know where to focus as they distribute resources.Objectives: To compare the socio-demographical characteristics, obstetrical complications and foetal outcome in booked verses unbooked mothers who delivered at this hospital.Design: A hospital based retrospective study.Setting: The Abia State University Teaching Hospital (ABSUTH), Aba in South Eastern Nigeria.Subjects: Three thousand, seven hundred and thirty four mothers who delivered in the hospital between 1st January 2005 and 31st December 2007.Results: Unbooked mothers constituted 17.0% of the 3734 deliveries in the studied period. Compared to booked mothers, unbooked mothers were younger in age (28.2 ± 5.80 vs. 29.3 ± 6.04; p < 0.001) and had a lower educational status (

Rupture of the uterus in a primigravida: A case report

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Knowledge of genital herpes infection among antenatal clinic attendees in South-Eastern Nigeria

Background: Herpes simplex virus (HSV) is a major cause of genital ulcer disease worldwide and a significant factor for increased risk of acquisition and transmission of the Human Immune Deficiency Virus (HIV). The determination of the level of knowledge of genital herpes is necessary for the design and implementation of its specific preventive strategies as well as the reduction of the contribution of genital herpes to HIV transmission.Objective: To determine antenatal women’s knowledge on genital herpes infection. Design: A cross sectional descriptive study.Setting: Antenatal clinic of Abia State University Teaching, Hospital, Aba, Nigeria. Subjects: Three hundred and fifty consecutive and consenting antenatal clinic attendees of Abia State University Teaching Hospital (ABSUTH), Aba, South Eastern, Nigeria. Results: Seventy nine respondents (22.6%) had ever heard of genital herpes whilst sixty two (17.7%) had ever had recurrent blisters around their genitals. Two hundred and sixteen respondents (61.7%) reported having had cold sores or blisters around thelips or mouth following an episode of fever. Seventy four (21.1 %) of the respondents knew that the virus that causes cold sores or blisters can be sexually transmitted. Higher educational levels attained and occupations other than being a housewife or farmer were associated with a greater awareness of genital herpes (