MRI brain classification using support vector machine

The field of medical imaging gains its importance with increase in the need of automated and efficient diagnosis in a short period of time. Other than that, medical image retrieval system is to provide a tool for radiologists to retrieve the images similar to query image in content. Magnetic resonance imaging (MRI) is an imaging technique that has played an important role in neuroscience research for studying brain images. Classification is an important part in retrieval system in order to distinguish between normal patients and those who have the possibility of having abnormalities or tumor. In this paper, we have obtained the feature related to MRI images using discrete wavelet transformation. An advanced kernel based techniques such as Support Vector Machine (SVM) for the classification of volume of MRI data as normal and abnormal will be deployed

Catastrophic forgetting: still a problem for DNNs

We investigate the performance of DNNs when trained on class-incremental visual problems consisting of initial training, followed by retraining with added visual classes. Catastrophic forgetting (CF) behavior is measured using a new evaluation procedure that aims at an application-oriented view of incremental learning. In particular, it imposes that model selection must be performed on the initial dataset alone, as well as demanding that retraining control be performed only using the retraining dataset, as initial dataset is usually too large to be kept. Experiments are conducted on class-incremental problems derived from MNIST, using a variety of different DNN models, some of them recently proposed to avoid catastrophic forgetting. When comparing our new evaluation procedure to previous approaches for assessing CF, we find their findings are completely negated, and that none of the tested methods can avoid CF in all experiments. This stresses the importance of a realistic empirical measurement procedure for catastrophic forgetting, and the need for further research in incremental learning for DNNs.Comment: 10 pages, 11 figures, Artificial Neural Networks and Machine Learning - ICANN 201

Matter wave soliton bouncer

Dynamics of a matter wave soliton bouncing on the reflecting surface (atomic mirror) under the effect of gravity has been studied by analytical and numerical means. The analytical description is based on the variational approach. Resonant oscillations of the soliton's center of mass and width, induced by appropriate modulation of the atomic scattering length and the slope of the linear potential are analyzed. In numerical experiments we observe the Fermi type acceleration of the soliton when the vertical position of the reflecting surface is periodically varied in time. Analytical predictions are compared with the results of numerical simulations of the Gross-Pitaevskii equation and qualitative agreement between them is found.Comment: 8 pages, 5 figure

The Use of Antihypertensive and Antiplatelet Drugs on Hospital Stroke Patients

Medicine is one of the most important part of the healing process, the restoration of health and prevention of disease. This study aims to describe the use of drugs, particularly antihypertensive and antiplatelet drugs in stroke patients hospitalized in PKU Muhammadiyah Hospital Bantul during December 2014-April 2015. This research is observational descriptive study. Data collection was done prospectively with a survey of stroke patients in inpatient Al-Insan and al-A'raaf wards in PKU Muhammadiyah Hospital Bantul during the specified period. During the study there were 61 stroke patients sampled in the study, of which 41 (67.2%) were geriatrics and 20 (32.8%) were not geriatrc. From the data, 28 (45.9%) patients did not receive antihypertensive drugs, only 33 (54,1%) patients received antihypertensive drug.The antihypertensive drugs type were given to patients were ACEI 9 (14.8%) and CCB 6 (9.8%), as well as combinations ACEI and CCB 7 (11.5%). Most patients did not receive antiplatelet 43 (70.5%), whereas patients receiving antiplatelet drugs most was the kind of aspirin 17 (27.9%). From the above data it can be concluded that the use of antihypertensive drugs in stroke patients in the inpatient ward in PKU Muhamaddiyah Hospital Bantul quite frequently used, while the use of antiplatelet drugs in these cases rarely used

KONSTITUSI PENDIDIKAN ISLAM DALAM MEMBANGUN MASYARAKAT MADANI

This journal discuss how to Islamic education constituation in Indonesia and how are principles and implementation of islamic education in creating madani society.Islamic education constitution in indonesia be included in UU RI No 20 2003 it significant is developing ability and creating character it aims to develop students potential to be faithful and piety to god, good character, healthy, skillful, learned, creative, stand alone, and to be democratis citizen and responsible. Principles of Islamic education in building madani society are freely and individual freedom, freedom and individual activity must be balance and be control, free thingking and individual activity. Madani is an adoration value of fair, democrasy, freedom, prosperous

PENDIDIKAN AGAMADALAM BINGKAI ISLAM DI NUSANTARA

Religious education by using the approach of the study of Islam Nusantara is the concept of education about Islam by making the local culture as a medium. Islam Nusantara is a religious concept launched by religious leaders to eliminate the stigma that everything that comes from the Arabic does not make it absolutely true. Islam and the Arabs are not the same thing but two different things though in the beginning, Islam developed in the Arab lands and holy man who was elected as a messenger of God was born as a descendant of the Arabs. Islam Nusantara none other than the understanding, practice, and application of Islamic jurisprudence mu'amalah segment as a result of a dialectic between the texts, the shari'ah, and 'urf, culture and realities in the archipelago. This article examines the linkage between Islamic education and its relevance in affirming national identity and diversity. The analysis used in this paper is an analysis of the historical and material context of Islamic religious education by using literature reviews

Progress of Rice Improvement Through Recurrent Selection

Improved rice varieties play an important role in increasing rice production, through raising and/or stabilizing rice productivity. Thus, it is urgent to develop improved rice varieties. Selection method is an important step in rice improvement. Implementation of recurrent selection in rice improvement was aimed to increase the efficiency and insurance in the success of improvement. Since 2004, Indonesian Institute for Rice Research has applied recurrent selection in breeding program. Promising lines of earliness and high yield potential were developed in relatively short time. A number of advanced lines has been produced and will be further evaluated, and a number of populations has been selected and used as base populations for recurrent selection in rice improvement program