Miracle-dz/UniFAR-FTUs huggingface dataset:
PENERAPAN NAIVE BAYES PADA INTRUSION DETECTION SYSTEM DENGAN DISKRITISASI VARIABEL

Intrusion Detection System (IDS) merupakan sebuah perangkat lunak atau perangkat keras yang dapat digunakan un-tuk mendeteksi adanya aktivitas yang tidak wajar dalam jaringan. Teknik data mining telah banyak diterapkan dalam proses deteksi seperti decision tree, naive bayes, algoritma genetika, dan teknik machine learning lainnya. IDS membutuh-kan performansi yang relatif cepat dengan tingkat false positif yang rendah sehingga hal ini menjadi masalah yang menarik untuk dipecahkan. Penerapan algoritma naive bayes pada masalah ini dapat dilakukan namun kelemahan dari naive bayes sendiri adalah memerlukan atribut dengan nilai diskrit sehingga diperlukan proses diskritisasi untuk merubah atribut kontinu kedalam bentuk diskrit. Pada penelitian ini akan dibahas mengenai penerapan naive bayes classifier dengan menggunakan pemilihan atribut berdasarkan pada korelasi serta preprocessing data dengan diskritisasi dengan menggunakan metode mean/standar deviasi untuk atribut kontinu dengan menggunakan 3-interval dan 5-interval. Hasil percobaan menunjukan bahwa penerapan naive bayes pada klasifikasi data yang telah melewati proses diskritisasi mampu memberikan akurasi hingga 89% dengan running time rata-rata adalah 31 detik.
AS level grade, age, gender and centre type as predictors of A level grade in the summer 2002 examinations

The relationship between AS level grade, age, gender and centre type and A level grades in the June 2002 examination series was studied in seven AQA GCE specifications. The specifications studied were Biology B, Psychology B, English Language and Literature A, ICT, Mathematics A, History and General Studies A. The relationship between candidate performance at AS and A level was consistent across the specifications. Most candidates were awarded the same grade at AS and A level, but only a slightly smaller proportion did better at AS than at A level and very few did better at A than AS level. The difference in the grades awarded at AS and A level raises doubt over the viability of Dearing’s (1996) definition of GCE standards and may have implications for the way in which these qualifications are awarded. For all specifications together, and each specification in turn, multiple regression was performed with A level grade as the outcome and age, gender, centre type and AS grade as the predictors. Candidates’ grade at AS level accounted for the greatest proportion of variance in A level grade. Centre type, age and gender independently predicted small but significant amounts of the variance. These variables had different relationships with A level grade depending on the specification studied. This was particularly the case for centre type. For example, candidates taking the Biology, History and General Studies specifications who were from comprehensive schools tended to be awarded significantly lower A level grades than candidates from other types of centres. The opposite, however, was true for candidates taking the Mathematics specification and there was no relationship between attending a comprehensive school and A level grades for the Psychology, English Language and Literature and ICT specifications. In general, female candidates and candidates aged 18 years or younger were awarded significantly higher A level grades than other candidates. The accuracy of prediction of A level grade varied across the specifications. Between 55 and 80 per cent of grade variance was accounted for. The inclusion of candidates’ mean GCSE grade could improve the predictions, although it is likely that a large proportion of the variance predicted by mean GCSE grade would be common to that predicted by AS grade. If the relationship between the predictors and A level grade proves reliable across examination series, it may be possible to generate more accurate and valid predictions to inform awarding. This may be of particular value when it is not possible to use mean GCSE grade to predict A level grades, for example when a large proportion of candidates are aged 19 years and older. Centre for Education Research and Policy
Grouping of clusters for efficient data aggregation (GCEDA) in wireless sensor network

In the application based WSN environment, energy and bandwidth of the sensor are valuable resources and need to utilize efficiently. Data aggregation at the sink by individual node causes flooding of the data which results in maximum energy consumption. To minimize this problem we propose and evaluate the group based data aggregation method, where grouping of nodes based on available data and correlation in the intra-cluster and grouping of cluster heads at the network level help to reduce the energy consumption. In addition, proposed method uses additive and divisible data aggregation function at cluster head (CH) as in-network processing to reduce energy consumption. Cluster head transmits aggregated information to remote sink and cluster head nodes transmit data to CH. Simulation result shows, proposed algorithm provides an improvement of 14.94% in energy consumption as compared with primary cluster based protocol LEACH which uses only one CH, it also improves the network stability.
Genome-wide and protein kinase-focused RNAi screens reveal conserved and novel damage response pathways in Trypanosoma brucei

All cells are subject to structural damage that must be addressed for continued growth. A wide range of damage affects the genome, meaning multiple pathways have evolved to repair or bypass the resulting DNA lesions. Though many repair pathways are conserved, their presence or function can reflect the life style of individual organisms. To identify genome maintenance pathways in a divergent eukaryote and important parasite, Trypanosoma brucei, we performed RNAi screens to identify genes important for survival following exposure to the alkylating agent methyl methanesulphonate. Amongst a cohort of broadly conserved and, therefore, early evolved repair pathways, we reveal multiple activities not so far examined functionally in T. brucei, including DNA polymerases, DNA helicases and chromatin factors. In addition, the screens reveal Trypanosoma- or kinetoplastid-specific repair-associated activities. We also provide focused analyses of repair-associated protein kinases and show that loss of at least nine, and potentially as many as 30 protein kinases, including a nuclear aurora kinase, sensitises T. brucei to alkylation damage. Our results demonstrate the potential for synthetic lethal genome-wide screening of gene function in T. brucei and provide an evolutionary perspective on the repair pathways that underpin effective responses to damage, with particular relevance for related kinetoplastid pathogens. By revealing that a large number of diverse T. brucei protein kinases act in the response to damage, we expand the range of eukaryotic signalling factors implicated in genome maintenance activities.
A multiple hypothesis people tracker for teams of mobile robots

This paper tackles the problem of tracking walking people with multiple moving robots equipped with laser rangefinders. We present an adaptation to the classic Multiple Hypothesis Tracking method, which allows for one-to-many associations between targets and measurements in each cycle and is thus capable of operating in a multi-sensor scenario. In the context of two experiments, the successful integration of our tracking algorithm to a dual-robot setup is assessed.
Glycoprotein D-adjuvant vaccine to prevent genital herpes.

L AWRENCE R. S TANBERRY , M.D., P H . D. , S POTSWOOD L. S PRUANCE , M.D., A NTHONY L. C UNNINGHAM , M.D., D AVID I. B ERNSTEIN , M.D., A DRIAN M INDEL , M.D., S TEPHEN S ACKS , M.D., S TEPHEN T YRING , M.D., P H . D. , F RED . Y. A OKI , M.D., M ONCEF S LAOUI , P H . D. , M ARTINE D ENIS , P H . D. , P IERRE V ANDEPAPELIERE , M.D., AND G ARY D UBIN , M.D., FOR THE G LAXO S MITH K LINE H ERPES V ACCINE E FFICACY S TUDY G ROUP *
Regularized singular value decomposition: a sparse dimension reduction technique

Singular value decomposition (SVD) is a useful multivariate technique for dimension reduction. It has been successfully applied to analyze microarray data, where the eigen vectors are called eigen-genes/arrays. One weakness associated with the SVD is the interpretation. The eigen-genes are essentially linear combinations of all the genes. It is desirable to have sparse SVD, which retains the dimension reduction property but also the eigen vectors are linear combinations of only a small subset of genes. In this paper we formally propose a statistical framework for sparse SVD, which is a generalization of traditional SVD. Our formulation of sparse SVD also bears the close connection to the penalized t-/F-statistics for dierential gene expression detection, which can be viewed as the supervised sparse dimension reduction technique.
Pemanfaatan Internet Dan Dampaknya Pada Pelajar Sekolah Menengah Atas Di Surabaya (Studi Deskriptif Tentang Pemanfaatan Internet dan Dampaknya pada Pelajar SMAN 9 Surabaya )

The increasing usage of Internet in the world, especially in Indonesia, also impact on education model in Indonesia which also began implementing computer technology and internet media in their system. As a young students, students now is forced to use the internet as one of the facilities in the learning process. Unlike some adults who generally have been able to make filter the good or bad from the internet, otherwise teenagers cannot make that way. Based on this, the researchers are interested in preparing a study to find out how about intensity using internet among students in Surabaya. This research also wants to know what positive and negative impacts of using the internet. This research is also a descriptive quantitative research where the sample set by the method of nonprobability sampling technique and take the incidental sampling to 91 respondents.The data were then analyzed by techniques of descriptive quantitative.The results showed the intensity of the students use the Internet to be in the category of heavy users (65.93 %) . Most students have a positive impact as useful internet as a medium of information (34.07 % and 45.05 higbenefit % moderate benefits). Most students have not received the positive impact of the Internet useful as a communication medium (50.55% take low benefits and only 49.45% take moderate benefits). Most students have a positive impact because the Internet is useful as a learning medium (43.96% take high benefits and 35.16% take moderate benefits). Most students have apositive impact as useful internet as a medium of entertainment (53.85% take moderate benefits was 40.66% and high benefits). Most students have a positive impact as useful as a medium of Internet business and entertainment (39.56% take high benefits and 25.27% take moderate benefits). Internet does not negatively impact the students because students’ social attitudes are not reduced (60.44% low, 32.97% moderate). Internet does highly enough to give a negative impact to the student because interaction patterns of the students reduced (54.95 % and 28.57 % were high). Internet does not negatively impact the students because there have less introduction toward such a crime actions (73.63% moderate and 21.98% were low). Internet does not negatively impact the students because the internet does not make negative addiction to students (58.24% moderate and 4.40% were low).
MV Lyrae in Low, Intermediate, and High States

Archival IUE spectra of the VY Sculptoris system MV Lyrae, taken during an intermediate state, can be best fit by an isothermal accretion disk extending half-way to the tidal cutoff radius. In contrast, a recent HST spectrum, while MV Lyr was in a high state, can be best fit with a standard T(R) profile for an accretion disk extending from an inner truncation radius to an intermediate radius with an isothermal accretion disk beyond. These fits use component-star parameters determined from a study of MV Lyr in a low state. Model systems containing accretion disks with standard T(R) profiles have continua that are too blue. The observed high-state absorption-line spectrum exhibits excitation higher than provided by the T(R) profile, indicating likely line formation in a high-temperature region extending vertically above the accretion disk. The absorption lines show a blueshift and line broadening corresponding to formation in a low-velocity wind apparently coextensive with the high-temperature region. Lines of N V, Si IV, C IV, and He II are anomalously strong relative to our synthetic spectra, indicating possible composition effects, but unmodeled excitation effects could also produce the anomalies. An analysis of a low state of MV Lyr, considered in an earlier study and extended in this paper, sets a limit of 2500 K for the Teff of an accretion disk that may be present in the low state. This limit is in conflict with two recent models of the VY Sculptoris phenomenon.
A New Algorithm for Learning Non-Stationary Dynamic Bayesian Networks With Application to Event Detection

Dynamic Bayesian networks (DBN) are a popular framework for managing uncertainty in time-evolving systems. Their efficient learning has thus received many contributions in the literature. But, most often, those assume that the data to be modeled by a DBN are generated by a stationary process, i.e., neither the structure nor the parameters of the BNs evolve over time. Unfortunately, there exist real-world problems where such a hypothesis is highly unrealistic, e.g., in video event recognition, social networks or road traffic analysis. In this paper, we propose a principled approach to learn the structure and parameters of "non-stationary DBNs", that can cope with such situations. Our algorithm is specifically designed to work in situations where all input data are streamed. Unlike previous works on non-stationary DBN learning, we make no restrictive assumption about the way the structure evolves or over parameters' independence during this evolution. Yet, as highlighted in our experimentations, our algorithm scales very well. Its lack of restrictive assumptions makes it very effective to detect events (evolutions), which is confirmed by our experimentations.
SunSmart? Skin cancer knowledge and preventive behaviour in a British population representative sample

The incidence of skin cancer has risen rapidly in the UK over the last 20 years, prompting public health organizations to try and raise awareness of the dangers of sun exposure and the need to practice sun-safe behaviour. This study aimed to assess baseline levels of sun-safe knowledge and behaviour in a British population-representative sample, prior to the launch of Cancer Research UK's ‘SunSmart’ campaign. A face-to-face survey was conducted through the Office for National Statistics as part of their Omnibus survey. In total, 1848 men and women aged 18 and over were interviewed. Knowledge of what to do to reduce skin cancer risk was modest. Two-thirds mentioned avoiding the sun by seeking shade, 50% mentioned covering up and only 43% said to use high factor sunscreen. Practice of sun-safe behaviours was also poor, with only one-third saying they sought shade, covered up or used high factor sunscreen to protect themselves from the sun. Men and those from lower socioeconomic groups were least informed and least likely to report using sun-protective behaviours. Increases in both knowledge and use of appropriate sun-protective behaviours are needed if skin cancer incidence rates are to decrease.
Perceptions of Polar Bear Tourists: A Qualitative Analysis

A number of themes and concepts emerged from 18 interviews conducted with polar bear tourists visiting the Churchill Wildlife Management Area, near Churchill, Manitoba. This article focuses on themes relating to environmental dimensions of polar bear tourism. These include environmental concerns, rationalization of wildlife tourism, and perceptions of environmental impacts. By focusing on the human dimensions of wildlife tourism in protected areas, this study provided an opportunity to acquire an understanding of perceived management roles in these protected areas, as well as perceived impacts of the polar bear viewing industry.
Optimized Monte Carlo path generation using genetic algorithms

In this technical report we present a new method for optimizing the generation of paths in Monte Carlo global illumination rendering algorithms. Ray tracing, particle tracing, and bidirectional ray tracing all use random walks to estimate various fluxes in the scene. The probability density functions necessary to generate these random walks are optimized using a genetic algorithm, such that a significant reduction of the variance, and thus more reliable flux estimates, are obtained.
Evaluation of computer based clinical decision support system and risk chart for management of hypertension in primary care: randomised controlled trial

Abstract Objectives: To investigate the effect of a computer based clinical decision support system and a risk chart on absolute cardiovascular risk, blood pressure, and prescribing of cardiovascular drugs in hypertensive patients. Design: Cluster randomised controlled trial. Setting: 27 general practices in Avon. Participants: 614 patients aged between 60 and 79 years with high blood pressure. Interventions: Patients were randomised to computer based clinical decision support system plus cardiovascular risk chart; cardiovascular risk chart alone; or usual care. Main outcome measures: Percentage of patients in each group with a five year cardiovascular risk≥10%, systolic blood pressure, diastolic blood pressure, prescribing of cardiovascular drugs. Results: Patients in the computer based clinical decision support system and chart only groups were no more likely to have cardiovascular risk reduced to below 10% than patients receiving usual care. Patients in the computer based clinical decision support group were more likely to have a cardiovascular risk≥10% than chart only patients, odds ratio 2.3 (95% confidence interval 1.1 to 4.8). The chart only group had significantly lower systolic blood pressure compared with the usual care group (difference in means−4.6 mm Hg (95% confidence interval−8.4 to−0.8). Reduction of diastolic blood pressure did not differ between the three groups. The chart only group were twice as likely to be prescribed two classes of cardiovascular drugs and over three times as likely to be prescribed three or more classes of drugs compared with the other groups. Conclusions: The computer based clinical decision support system did not confer any benefit in absolute risk reduction or blood pressure control and requires further development and evaluation before use in clinical care can be recommended. Use of chart guidelines are associated with a potentially important reduction in systolic blood pressure.
Production Compilation: A Simple Mechanism to Model Complex Skill Acquisition

In this article we describe production compilation, a mechanism for modeling skill acquisition. Production compilation has been developed within the ACT-Rational (ACT-R; J. R. Anderson, D. Bothell, M. D. Byrne, & C. Lebiere, 2002) cognitive architecture and consists of combining and specializing task-independent procedures into task-specific procedures. The benefit of production compilation for researchers in human factors is that it enables them to test the strengths and weaknesses of their task analyses and user models by allowing them to model the learning trajectory from the main task level and the unit task level down to the keystroke level. We provide an example of this process by developing and describing a model learning a simulated air traffic controller task. Actual or potential applications of this research include the evaluation of user interfaces, the design of systems that support learning, and the building of user models.
Mild Wolf-Hirschhorn syndrome: micro-array CGH analysis of atypical 4p16.3 deletions enables refinement of the genotype-phenotype map

Wolf-Hirschhorn syndrome is a multiple malformation syndrome with distinct abnormal craniofacial features, prenatal onset growth retardation, failure to thrive, microcephaly, usually severe mental retardation, seizures, and congenital heart malformations. Large variations are observed in phenotypic expression of these features, with mental retardation ranging from severe to mild. There is a one third mortality in the first two years of life. Most patients with Wolf-Hirschhorn syndrome carry 4p terminal deletions. However, the size of these deletions is variable and several phenotypic features have been tentatively mapped within the 4pter region.1–4 Further fine mapping of the different phenotypic features will ultimately lead to a functional understanding of the genes that cause these abnormal phenotypes. The minimal ‘Wolf-Hirschhorn syndrome’ phenotype was defined as the typical facial appearance, congenital hypotonia, mental retardation, growth delay, and seizures.2,4 The Wolf-Hirschhorn syndrome critical region was originally confined to a region of 165 kb and nine transcripts within this region were described.5 A patient with a small intrachromosomal 4p deletion and a partial Wolf-Hirschhorn syndrome phenotype further refined the critical region (WHSCR1). 6 Two genes, the Wolf-Hirschhorn Syndrome Candidate genes 1 (WHSC1) and 2 (WHSC2), are located in the region. The expression pattern of WHSC1 colocalises spatially and temporarily with the major Wolf-Hirschhorn syndrome malformations and the gene is homologous with a Drosophila dysmorphology gene.7 WHSC2 is a nuclear protein with a helix-loop-helix motif that is ubiquitously expressed throughout development.8,9 The identification of a Wolf-Hirschhorn syndrome patient with a terminal 1.9 Mb deletion not including this Wolf-Hirschhorn syndrome critical region led Zollino et al4 to postulate a novel critical region distal to the previously defined critical region, which was termed the Wolf-Hirschhorn critical region 2 (WHSCR2). The distal boundary of this region is located within the WHSCR1 and at …
Multifamily Groups in the Treatment of Severe Psychiatric Disorders

Lefley, Foreword. Part I: Theoretical and Empirical Foundations: The Scientific Basis for the Design of Multifamily Group Treatment. The Psychobiology of Schizophrenia. Families, Social Networks, and Schizophrenia. The Therapeutic Social Network: A Healing Community. Empirical Studies of Outcomes in Multifamily Groups. Part II: The Practice of Multifamily Group Treatment in Schizophrenia: A Psychoeducational Approach to Developing a Healing Social Network. An Overview of Psychoeducational Multifamily Group Treatment. McFarlane, Gingerich, Deakins, Dunne, Horen, Newmark, Joining with Families and Patients. McFarlane, Gingerich, Deakins, Dunne, Horen, Newmark, Educating Families: A Multifamily Workshop on Schizophrenia. McFarlane, Gingerich, Deakins, Dunne, Horen, Newmark, The Initial Sessions of a Psychoeducational Multifamily Group: Forming a Healing Network. McFarlane, Gingerich, Deakins, Dunne, Horen, Newmark, Leading Psychoeducational Multifamily Groups: A Problem-Solving Approach to Treatment and Rehabilitation. Part III: Applications in other Disorders and Contexts: Expanding the Range and Relevance of Multifamily Group Treatment. McFarlane, Deakins, Family-Aided Assertive Community Treatment. Horen, Ranz, Training Staff of Supportive Housing Programs in Principles and Practices of Psychoeducation: Creating a Family-Like Social Environment. Moltz, Newmark, Multifamily Groups for Bipolar Illness. Keitner, Drury, Ryan, Miller, Norman, Solomon, Multifamily Group Treatment for Depressive Disorder. Berkowitz, Gunderson, Multifamily Psychoeducational Treatment of Borderline Personality Disorder. Van Noppen, Steketee, Multifamily Behavioral Treatment of Obsessive-Compulsive Disorder. Gonzalez, Steinglass, Application of Multifamily Groups in Chronic Medical Disorders. Dixon, Dunne, Implementing Multifamily Groups in the Real World: The New York State and Ohio Training and Dissemination Programs. Beels, Afterword.