Association Rules Mining Based Clinical Observations

Healthcare institutes enrich the repository of patients' disease related information in an increasing manner which could have been more useful by carrying out relational analysis. Data mining algorithms are proven to be quite useful in exploring useful correlations from larger data repositories. In this paper we have implemented Association Rules mining based a novel idea for finding co-occurrences of diseases carried by a patient using the healthcare repository. We have developed a system-prototype for Clinical State Correlation Prediction (CSCP) which extracts data from patients' healthcare database, transforms the OLTP data into a Data Warehouse by generating association rules. The CSCP system helps reveal relations among the diseases. The CSCP system predicts the correlation(s) among primary disease (the disease for which the patient visits the doctor) and secondary disease/s (which is/are other associated disease/s carried by the same patient having the primary disease).Comment: 5 pages, MEDINFO 2010, C. Safran et al. (Eds.), IOS Pres

The Legal Structure of the Proposed International Seabed Authority

The continuing international dispute over the seabed area beyond the limits of national jurisdiction is a phenomenon of a special and important kind. The conflict concerned the ownership of the seabed area and its substantial amount of wealth. There is a wide range of contentious questions to be decided; those questions are related to problems of economic, legal, military and scientific kinds. This is one of the most important issues in history which will crucially determine the distribution of wealth and welfare in the world for years to come. So, we are praying for a successful solution, based on international control of the area and its resources so as to share the benefits, and to close the existing inequalities among nations which divide them and to increase their division for ever. This thesis is an attempt to deal with the problem in the light of the UN Conferences on the Law of the Sea. It consists of an introductory chapter (The importance of the seabed area and the material therein). The importance of the historical review -cause of conflict, its effect on present time (a historical development for establishing the proposed International Seabed Authority since 1967 until the present time) have been dealt with in six chapters. The first chapter is devoted to describing the beginning of the problem, the Maltese move in UN, and the Ad Hoc Committee work. Chapter two is concerned with the Seabed Committee work for the period 1969. The seabed politics and the Law of the Sea, 1970-73, is the subject of Chapter three. In this chapter the problem concerning the elaboration of a regime for the international seabed area: proposals and positions in the seabed committee and the state of seabed politics. At the end of the seabed meetings Chapter four has dealt with the Third United Nations Conference on the Law of the Sea, 1973-74, Caracas session. Geneva session 1974-75 is the matter of Chapter five, while the sixth chapter is concerned with New York session 1977. The research has sought to analyse the different aspects of the problem concluding our study in considering what type of international seabed authority might best be able to resolve some of the basic difficulties, best reconcile the various conflicting interests involved, and best serve the needs of the international community as a whole

Surrogate Assisted Optimisation for Travelling Thief Problems

The travelling thief problem (TTP) is a multi-component optimisation problem involving two interdependent NP-hard components: the travelling salesman problem (TSP) and the knapsack problem (KP). Recent state-of-the-art TTP solvers modify the underlying TSP and KP solutions in an iterative and interleaved fashion. The TSP solution (cyclic tour) is typically changed in a deterministic way, while changes to the KP solution typically involve a random search, effectively resulting in a quasi-meandering exploration of the TTP solution space. Once a plateau is reached, the iterative search of the TTP solution space is restarted by using a new initial TSP tour. We propose to make the search more efficient through an adaptive surrogate model (based on a customised form of Support Vector Regression) that learns the characteristics of initial TSP tours that lead to good TTP solutions. The model is used to filter out non-promising initial TSP tours, in effect reducing the amount of time spent to find a good TTP solution. Experiments on a broad range of benchmark TTP instances indicate that the proposed approach filters out a considerable number of non-promising initial tours, at the cost of omitting only a small number of the best TTP solutions

Efficient Toxicity Prediction via Simple Features Using Shallow Neural Networks and Decision Trees

Toxicity prediction of chemical compounds is a grand challenge. Lately, it achieved significant progress in accuracy but using a huge set of features, implementing a complex blackbox technique such as a deep neural network, and exploiting enormous computational resources. In this paper, we strongly argue for the models and methods that are simple in machine learning characteristics, efficient in computing resource usage, and powerful to achieve very high accuracy levels. To demonstrate this, we develop a single task-based chemical toxicity prediction framework using only 2D features that are less compute intensive. We effectively use a decision tree to obtain an optimum number of features from a collection of thousands of them. We use a shallow neural network and jointly optimize it with decision tree taking both network parameters and input features into account. Our model needs only a minute on a single CPU for its training while existing methods using deep neural networks need about 10 min on NVidia Tesla K40 GPU. However, we obtain similar or better performance on several toxicity benchmark tasks. We also develop a cumulative feature ranking method which enables us to identify features that can help chemists perform prescreening of toxic compounds effectively

Konstruksi Fiqh Bukhari dalam Kitab Al-jami' Al-shahih

The popularity of Imam Bukhari as compiler of sunnah has an outstanding position among Muslim communities in the world. His work al-Jami' al-Shahih regarded as the best sunnah collection after the Quran. However, there is not enough information about his capability on Islamic Law (fiqh). The are many questions can be offered to this case. First, is Imam Bukhari's thought under the influence one of four Sunnites fuqaha when he was writing al-Jami' al-Shahih?. Second, what does he do to articulate his thought on Islamic law?. Using explorative, verified and hermeneutical approaches, this article will show us that Imam Bukhari is not under the influence of any particular schoosl of thought in articulating his thought on Islamic law. He articulated his point of view in unique and excellent ways based on his capacity as muhaddits.Popularitas Imam Bukhari sebagai penyusun kitab Hadits memiliki posisi yang tinggi di kalangan masyarakat muslim. Kitab Al-Jami ‘al-Shahih karya Imam Bukhari dianggap sebagai koleksi hadits terbaik setelah Quran. Namun, tidak ada banyak informasi tentang kemampuannya di bidang Hukum Islam (fiqh). Ada beberapa pertanyaan yang dapat diajukan dalam hal tersebut; pertama, apakah pemikiran Imam Bukhari dipengaruh salah satu dari empat fuqaha Sunni saat menulis al-Jami ‘al-Shahih?. Kedua, apa yang diupayakan Imam Bukhari untuk mengartikulasikan pemikirannya tentang hukum Islam? Dengan menggunakan pendekatan eksploratif, verifikatif dan hermenetical, artikel ini akan mengungkapkan bahwa Imam Bukhari tidak berada di bawah pengaruh madhab tertentu dalam mengartikulasikan pemikirannya tentang hukum Islam. Dia mengartikulasikan pandangannya dengan cara yang unik dan execelent berdasarkan kapasitasnya sebagai muhaddits

The Influence of Motivation to the Performance of Honorary Religious Counselor of Semarang

The aim of this research is to know and analyze the influence of motivation to the performance of honorary religious counselor of Semarang. This research is conducted to all of honorary religious counselor of Semarang 2013. Research method used is descriptive method by using simple regression analysis. Sample of research is 132 of 200 honorary religious counselor of Semarang by using simple random sampling. Variable of research consists of independent variable motivation (X) and dependent variable performance (Y). The result shows motivation has positive and significance influence to the performance of honorary religious counselor of Semarang with 90,4%. Based on that result, it suggested: 1) all of honorary religious counselor is suggested to keep their motivation, 2) ministry of religious affairs to give treatment to increase the motivation of honorary religious counselor of semarang, 3) other researcher is suggested to develop the research about motivation or performance by other factors or variables.***Penelitian ini bertujuan mengetahui dan menganalisis pengaruh motivasi terhadap kinerja penyuluh agama honorer kota Semarang. Penelitian ini dilakukan terhadap penyuluh agama honorer kota Semarang yang berada di bawah naungan kementerian agama kota Semarang tahun 2013. Metode penelitian yang digunakan adalah metode deskriptif dengan pendekatan analisis regresi sedehana. Pengambilan sampel dalam penelitian ini adalah dengan teknik sampling sederhana, yaitu dengan mengambil sebagian populasi sebanyak 132 dari 200 jumlah keselurahan penyuluh agama honorer. Adapun variable dalam penelitian ini adalah variabel bebas, yaitu variabel motivasi (X), dan variabel terikat, yakni variabel kinerja (Y). Hasil penelitian ditemukan bahwa motivasi memiliki pengaruh positif dan signifikan terhadap kinerja penyuluh agama honorer kota Semarang dengan pengaruh sebesar 90,4 %. Berdasarkan hasil tersebut, maka direkomendasi-kan: 1) kepada penyuluh agama honorer agar selalu mempertahankan motivasi dalam melaksanakan tugas-tugasnya, 2) kepada kementerian agama agar meningkatkan motivasi para penyuluh agama honorer dalam melayani masyarakat, 3) kepada para peneliti yang tertarik melakukan penelitian mengenai motivasi dan kinerja agar mengembangkan dengan faktor-faktor atau variabel lainnya

Early Baldness in Males and Hormonal Changes

Androgenetic alopecia (AGA) or baldness is a common form of hair loss, affecting men more than women .The exact causes and pathogenesis of baldness are not well understood. A search for new drug is still needed. This study aims to evaluate the role of gonadotropins hormones in hair loss in males and its possibility to be used as treatment target. A total of 78 volunteers 43 with baldness and 35 healthy men were participated in this study. Their age ranged between (20-49) years, the studied groups were divided into two categories: firstly according to age (group1: 20-29 year), (group2: 30-39 year),and (group3: 40-49 year).Secondly according to baldness degree. LH and FSH were measured by using Enzyme Linked Immunosorbent Assay (ELISA) kits. The results showed a significant decrease (