Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of a Knowledge Base for Korean Pharmacogenomics Research Network

Abstract Pharmacogenomics research requires an intelligent in-tegration of large-scale genomic and clinical data with public and private knowledge resources. We developed a web-based knowledge base for KPRN (Korea Pharmacogenomics Research Network, http://kprn.snubi. org/). Four major types of information is integrated; ge-netic variation, drug information, disease information, and literature annotation. Eighteen Korean pharmacoge-nomics research groups in collaboration have submitted 859 genotype data sets for 91 disease-related genes. Integrative analysis and visualization of the large collec-tion of data supported by integrated biomedical path-ways and ontology resources are provided with a user-friendly interface and visualization engine empowered by Generic Genome Browser. H\ZRUGV 3KDUPDFRJHQRPLFV$OOHOHV0H6+3KDUP*. %*ROGHQSDWK*HQHZ*HQHULF*HQRPH%URZVHU Introduction Human Genome map is nearly completed. Pharmacoge- netics and Pharmacogenomics which deal with the ge-netic or genomic basis underlying variable drug re-sponses in individuals have become the center of inter-est all over the world. In this situation, it is recognized that pharmacogenomic and pharmacogenetic studies form a field of study that can be applied in clinical medi-cine at the earliest time. And many biomedicalogists are interested in this field because they believe that it can make individualized therapy possible.It is expected that a technique of individual therapy in genetic basis will be put to practical use in patient
A Directed Acyclic Graph Network Combined With CNN and LSTM for Remaining Useful Life Prediction

Accurate and timely prediction of remaining useful life (RUL) of a machine enables the machine to have an appropriate operation and maintenance decision. Data-driven RUL prediction methods are more attractive to researchers because they can be deployed quicker and cheaper compared to other approaches. The existing deep neural network (DNN) models proposed for the applications of RUL prediction are mostly single-path and top-down propagation. In order to improve the prognostic accuracy of the network, this paper proposes a directed acyclic graph (DAG) network that combines long short term memory (LSTM) and a convolutional neural network (CNN) to predict the RUL. Different from the existing prediction models combined with CNN and LSTM, the method proposed in this paper combines CNN and LSTM organically instead of just using CNN for feature extraction. Moreover, when a single timestamp is used as an input, padding the signals in the same training batch would affect the prediction ability of the developed model. To overcome this drawback, the proposed method generates a short-term sequence by sliding the time window (TW) with one step size. In addition, based on the degradation mechanism, the piece-wise RUL function is used instead of the traditional linear function. In the experimental test, the turbofan engine degradation simulation dataset provided by NASA is used to validate the proposed RUL prediction model. By comparing with the existing methods using the same dataset, it can be concluded that the prediction method proposed in this paper has better prediction capability.
Gene expression profiles and clinical parameters for survival prediction in stage II and III colorectal cancer

Prediction of outcome in colorectal cancer (CRC) is currently based on the TNM staging classification; however, histopathological classification alone is insufficient for accurately predicting survival in stage II and III patients. Studies indicate that microarray gene expression profiles can predict survival in CRC. We hypothesize that tumor gene expression in combination with clinical parameters, is a better predictor of outcome in stage II and III colorectal cancers than the TNM stage classification alone. Clinical records and follow-up data were retrospectively reviewed for 58 Stage II and Stage III patients with primary colorectal cancer, who did not receive any neoadjuvant therapy preoperatively and whose samples had been previously analyzed for gene expression profiles using the Affymetrix U 133a Gene chip. For molecular classification of patients as being at high or low risk for poor survival, samples were divided into two clusters by hierarchical cluster analysis of genes selected by SAM. Univariate and multivariate analyses vii using Cox proportional hazard models were done to identify significant prognostic factors The 3-year and 5-year survival estimates were 72.41% (SE=5.8%) and 55.17% (SE=6.7%), respectively, for all 58 patients. Univariate analysis showed that advanced stage, older age, high-risk molecular classification, positive lymph nodes were the statistically significant prognostic factors of poor survival (p<0.05), while gender, preoperative CEA level, and family history of CRC in first degree relatives were not statistically significant. In multivariate analysis molecular classification, age and body mass index were independent significant prognostic factors. In Cox proportional hazard model, the estimated hazard ratios for Stage III vs II was 2.45 (95%CI: 0.85-7.04), for high vs low molecular risk was 3.83 (95%CI: 1.22-12.06) and old vs young age was 3.72 (95%CI: 1.2-11.49). Model containing clinical stage in conjunction with molecular risk, body mass index, and age was a stronger indicator of clinical outcome (p= 0.0056) than model with clinical stage alone. Gene expression profiles predict survival independent of clinical parameters, and the addition of gene expression profiles to stage is more predictive of survival than stage alone. Further analysis needs to be done to validate the molecular classification on an independent dataset.
Sensor data transmission from a physical twin to a digital twin

of master's thesis 2 Author Riku Ala-Laurinaho Title of thesis Sensor Data Transmission from a Physical Twin to a Digital Twin Degree programme Master’s Programme in Mechanical Engineering Thesis supervisor Prof. Kari Tammi Thesis advisor(s) M.Sc. (Tech.) Juuso Autiosalo Date 08.04. 2019 Number of pages 90+15 Language English
Mazes in Typically Developing Bilingual Children

Abstract Mazes are defined as a series of words, initial parts of words, or unattached fragments of an utterance that do not contribute meaning to the ongoing flow of language. Maze production is considered as an important variable to investigate and identify problems underlying formulation of speech and language and is influenced by the speaker's linguistic knowledge. The present study focused on comparison of types and percentage of maze words over total words produced by typically developing monolingual (functionally) Kannada and Kannada-English bilingual children in the age range of 6 to 8 years. The Kannada-English bilingual group obtained higher mean percentage scores when compared to the monolingual group. Within-group comparison reported overall mazes to be higher for Kannada monolinguals in the Kannada monolingual context. However, bilingual children demonstrated a higher percentage of mazes in the English context.
Hybrid Neural Network Model for Metocean Data Analysis

Metocean time-series data is generally classified as highly chaotic thus making the analysis process tedious. The main aim of forecasting Metocean data is to obtain an effective solution for offshore engineering projects, such analysis of environmental conditions is vital to the choices made during planning and operational stage which must be efficient and robust. This paper presents an empirical analysis of Metocean time-series using a hybrid neural network model by performing multi-step-ahead forecasts. The proposed hybrid model is trained using a gauss approximated Bayesian regulation algorithm. Performance analysis based on error metrics shows that proposed hybrid model provides better multi-step-ahead forecasts as in comparison to previously used models.
Enjeux et avatars de l'enseignement du français en République de Guinée : contexte historique, aspects pédagogiques et perspectives de rénovation

THE TEACHING OF FRENCH LANGUAGE IN GUINEA WAS INTRODUCED BY THE MISSIONNARIES (PERES DU SAINT-ESPRIT, SOEURS DE SAINT-JOSEPH DE CLUNY, FRERES DE PLOERMEL). THESE RELIGIOUS ORDERS WERE ACTIVE LONG BEFORTE THE FRENCH GOVERNMENT IN THE PROPAGATION OF FRENCH BY THE SCHOOL. HOWEVER, THE COLONIAL AUTHORITIES TOOK CONTROL OF MISSION SCHOOLS AND DEVELOPPED A SECULAR AND PUBLIC EDUCATIONAL SYSTEM. THEREFORE FRENCH BECAME THE LANGUAGE OF THE INSTITUTIONS THROUGH WHICH SCHOOL, COMMUNICATIONS AS WELL OF SOCIAL WELFARE WAS RENDERED POSSIBLE. ON THE EVE OF INDEPENDENCE (1958), THE NEW GUINEA STATE REORIENTED THE USE OF THE FENCH LANGUAGE. THE EDUCATIONAL REFORM WAS ONE OF ITS AIMS. SINCE INDEPENDENCE THREE REFORMS HAVE BEEN SET UP AND IMPORTANT PEDAGOGICAL AND EDUCATIONAL INSTITUTIONS HAVE BEEN ESTABLISHED. EACH REFORM DEFINES ITS AIMS, AND SETS UP ITS STAKES. SINCE 1984, GUINEA HAS HAD A GROWING CONCERN FOR THE PROMOTION OF FRENCH AS A LANGUAGE OF EDUCATION. THE LONG TERM GOALS OF THE STATE ARE TO DEVELOP A GUINEA-FRENCH BY BILINGUALISM GROUNDED IN THE TEACHING OF BOTH FRENCH AND NATIONAL LANGUAGES. IT IS FOR THIS REASON THAT TEACHERS FROM GUINEA PARTICIPATE IN MANY FRANCOPHONE CONFERENCES WHERE THE TEACHING OF LANGUAGES AND THE IMPROVEMENT OF METHODS ARE AMONG THE MAIN CONCERNS. THE EFFECTS APPEAR TO BE POSITIVE. L'ENSEIGNEMENT DE LA LANQUE FRANCAISE EN GUINEE EST AVANT TOUT L'OEUVRE DES MISSIONNAIRES : PERES DU SAINT-ESPRIT, SOEURS DE SAINT-JOSEPH DE CLUNY, FRERES DE PLOERMEL. CES DIVERS ORDRES RELIGIEUX SE SONT ENGAGES, BIEN AVANT LES POUVOIRS PUBLICS DE LA METROPOLE, DANS LA DIFFUSION DU FRANCAIS PAR L'ECOLE. MAIS, L'ETAT COLONIAL SUPPLANTE LES MISSIONS ET INSTITUE L'ENSEIGNEMENT PUBLIC ET LAIQUE. IL CONTROLE TOUTES LES ECOLES CONFESSIONNELLES ET CONFERE AU FRANCAIS UN STATUT ET DES FONCTIONS OFFICIELLES. DES LORS, CETTE LANGUE DEVIENT LANGUE D'ENSEIGNEMENT, DE COMMUNICATION ET DE PROMOTION SOCIALE. LA GUINEE REORIENTE A L'INDEPENDANCE DE 1958 LE ROLE ET LES FONCTIONS DE LA LANGUE FRANCAISE. ELLE INSCRIT LA REFORME DE L'ENSEIGNEMENT PARMI SES PRIORITES. ELLE A PROCEDE DEPUIS 1959 A TROIS REFORMES ET CREE D'IMPORTANTES INSTITUTIONS PEDAGOGIQUES ET SCOLAIRES. CHAQUE REFORME DEFINIT DES OBJECTIFS, FIXE DES ORIENTATIONS ET EN DETERMINE LES ENJEUX. DEPUIS 1984, LA GUINEE S'ATTELE, PLUS QUE PAR LE PASSE, A REDYNAMISER LA LANGUE D'ENSEIGNEMENT ET L'ENSEIGNEMENT DE LA LANGUE. ELLE SE FONDE POUR CE FAIRE SUR L'ESPACE FRANCOPHONE. ELLE VISE, A LONG TERME, A DEVELOPPER UN BILINGUISME FRANCO-GUINEEN AXE SUR L'ENSEIGNEMENT DU FRANCAIS ET DES LANGUES NATIONALES. LES ENSEIGNANTS GUINEES PARTICIPENT, DANS CETTE OPTIQUE, A DIVERSES RENCONTRES DE LA FRANCOPHONIE PORTANT SUR L'ENSEIGNEMENT, LA DIDACTIQUE DES LANGUES ET LA RENOVATION DES METHODES PEDAGOGIQUES. LES EFFETS SEMBLENT ETRE POSITIFS.
Factoid and definitional Arabic Question Answering system

The amount of available information is becoming very huge, especially with the Web proliferation. The problem faced by the user is not the lack of documents or information but is the lack of time to find a short and precise answer among the variety of available documents. Search engines offer a lot of links toward web pages, but are not able to provide an exact answer. Thus, a new need is emerged: the possibility of obtaining a unique, brief and concise answer. It is the main goal of Question Answering systems. The proposed Question Answering deals factoid and definition question. It employs the NooJ platform which represents a valuable linguistic development environment.
Negotiating privacy, confidentiality and security issues pertaining to electronic medical records in Sri Lanka: A comparative legal analysis

Introduction Sri Lanka is set to adapt electronic medical records (EMR) at an ever increasing rate in the coming decade. However, handling of EMRs pose considerable legal challenge in relation to its privacy and confidentiality, quality of records and tort based liability. While the Sri Lankan legislation recognise electronic records as legally valid in most instances, it does not provide sufficient legal backing when it comes to sensitive personal health data. Methodology This paper adapts a comparative method of legal research. The author believes this to be an appropriate methodology for answering the research questions as it is primarily used for the purpose of “promotion of mutual understanding by acquiring knowledge of foreign legal systems”. Findings The paper recognizes that the existing Sri Lankan legislation does not provide for sensitive personal data such as EMR. However, the Sri Lankan legislation has already established the legal validity of electronic records. The paper discusses various legislations from the US including the Health Insurance Portability and Accountability Act (HIPAA) of 1996, The Patient Safety and Quality Improvement Act (PSQIA) of 2005 and Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009 as reference legislation. It also discusses the Data Protection Act of 1998 in the UK and the EU Directives as reference legislation for establishing a legal framework for Sri Lanka that would address the needs of EMRs. Recommendations Following the legal analysis, the paper proposes a way forward in adapting suitable legislations from the ones discussed. Some of these adaptations include defining the criteria in which a valid legal record can be established, the creation of the role data controller, laying down a clear framework in which personal health data can be shared, defining the criteria that should be met when using EMR for research, measures to encourage the adaption of EMRs and the standards set forth and the necessity to amend the Computer Crimes Act to include specific provisions to deal with crimes involving EMRs. Conclusion The paper concludes by stating the need to obtain wider consensus from all relevant stakeholders before such legislation is implemented and that the same should not hinder the IT industry which can promote the efficiency of the country’s health care system.
Watermark Estimation through Detector Observations

Abstract : A Watermark is a perceptually unobtrusive signal embedded in an image, an audio or video clip, or any other multimedia asset. Its purpose is to be a label which is holographically attached to the content. Moreover, it can only be removed by malicious and deliberate attacks (without a great loss of content quality) if some secret parameter K is known. In contrast, a waterman should be readily detectable by electronic means. This implies that electronic watermark detection is only feasible if the watermark detector is aware of the secret K. In many watermarking business scenarios the watermark detector will be available to the public as a black box D. The following question is therefore justified: Can the secret K be deduced from the operation of the a black box D? An if yes, what is the complexity of this process? In this paper we will address this issue for the watermarking method Patchwork.
An Improved Intrusion Detecting Method Based on Process Profiling

There have been two well-known models for host based intrusion detection. They are called Anomaly Intrusion Detection (AID) model and Misuse Intrusion Detection (MID) model. The former model analyzes user behavior and the statistics of a process in normal situation, and it checks whether the system is being used in a different manner. The latter model maintains database of known intrusion technique and detects intrusion by comparing a behavior against the database. An intrusion detection method based on an AID model can detect a new intrusion method, however it needs to update the data describing users behavior and the statistics in normal usage. We call these information profiles. There are several problems in AID to be addressed. The profiles are tend to be large. Detecting intrusion needs a large amount of system resource, like CPU time and memory and disk space. An MID model requires less amount of system resource to detect intrusion. However it cannot detect new, unknown intrusion methods. Our method solves these problems by recording system calls from daemon processes and setuid programs. We have further improved the method to eliminate false positive intrusion detections by adopting a DP matching scheme.
An Inquiry by Social Workers into Evening Routines in Community Living Settings for Adults with Learning Disabilities

Significant progress has been made since the 1980s in supporting adults with learning disability to live independent lives in the community. In 2012, the Department of Health in England announced the latest policy initiative to further invest in community support for people with learning disabilities, Transforming Care. Building the right community supported living setting for people does not in isolation provide for a comprehensive strategy towards achieving a paradigm shift in how people with learning disabilities experience their full right to inclusion in their communities. We undertook a practice inquiry into the quality of life experienced by people with learning disabilities. Social workers chose the focus of the inquiry to be on people’s evening routines to answer the question — were people living in the community experiencing independence or did institutional routines define their lives. The findings were that 69% of people with a learning disability were either in bed or were ready for bed. There was evidence that institutionalised routines existed in the settings with an association between an early evening meal time and the person being ready for or in bed (p = 0.0001 at Time 1 and p = 0.051 at Time 2). Implications for social work practice are discussed.
Objektivierung der Muskelaktivität bei krankengymnastischen Bewegungsabläufen mit Mehrkanalelektromyographie

Sie gestattet u. a. Aussagen AusmaB und Zeitpunkt der elektrischen Aktivitat mehrerer Muskein. Damit stellt sie eine Methode zur Objektivierung neurophysiologischer Sachverhalte dar (Stoboy 1980). GegenOber der apparativen Muskelkraftmessung, die nur Aussagen zur Kraftentwicklung eines Muskels gestattét, wird durch das Mehrkanal-EMG das Ausmall der Innervation sichtbar gemacht (Puhi et al. 1988). Die bisherigen Aussagen in der Kinesitherapie basieren im wesentlichen auf klinischen Beobachtungen. Durch das Mehrkanal-EMG werden eine Objektivierung und em Vergleich der Wirksamkeit verschiedener haufig angewendeter krankengymnastischer Methoden zur Kräftigung der Rumpfmuskulatur erwartet. 16 Patienten mit einem chronisch lumbalen Radikularsyndrom bei einem Durchschnittsalter von 39,6 Jahren wurden untersucht. Die Untersuchungen erfolgten mit einem 8-KanalEMG-Gerat der Firma Noraxon, uber die Ableitung von Oberflächenelektroden. Gemessen wurde die Amplitude der elektrischen AktivitSt bei einer Abtastfrequenz von 100 Hz. Die Elektroden wurden uber den Muskelbbuchen im Faserverlauf der Oberschenkelund Rumpfmuskulatur angebracht. Eine Kontrolle der exakten Elektrodenplazierung erfolgte durch maximales isometrisches Anspannen der Muskulatur. Vor Beginn der Untersuchung wurde der genaue Ablauf der Ubungen erklärt und mehrmals geprobt.
The development and evaluation of an educational game integrating augmented reality, ARCS model, and types of games for English experiment learning: an analysis of learning

ABSTRACT This study developed four AR games and investigated their influence on learning in a Grade 5 English course by integrating theories of digital game-based learning, the attention relevance confidence–satisfaction (ARCS) model, and different types of digital games. Moreover, the elements between AR game design and the ARCS model were examined. 147 fifth grade students were selected as the participants in the experiment. The experimental group used AR game, while the control group used traditional learning. A pre-test and post-test, ARCS Learning Motivation questionnaire, AR game design elements questionnaire and Semi-open questionnaires were conducted with both groups. Results showed that students who received AR game learning exhibited significantly higher learning motivation than students who underwent traditional learning; however, no significant differences were observed in their learning effectiveness. A canonical correlation analysis of the AR game design elements dimensions and the learning motivation dimensions showed significant correlations, and 3D graphics dimension showed the strongest correlation with the satisfaction dimension. The finding of this study is that 3D graphics is the most important element in AR game designs, and the most popular type of AR game is role-playing. Based on the research results, high-quality 3D graphics in the design of AR games is needed to be satisfied with the other amusing storylines and interesting characters of the role-playing game is also the key of designing AR games.
Petabytes in Practice: Working with Collections as Data at Scale

Abstract The emerging transdiscipline of Computational Archival Science (CAS) links frameworks such as Brown Dog and repository software such as Digital Repository At Scale To Invite Computation (DRAS-TIC) to yield an understanding of working with digital collections at scale for cultural data. The DRAS-TIC and Brown Dog projects here serve as the basis for an expandable distributed storage/service architecture with on-demand, horizontally scalable integrated digital preservation and analysis services.
On a " Common Language " for a " Best Practices " Knowledge Base

Knowledge management systems are becoming embedded in knowledge work. As part of those knowledge management systems, increasingly, firms are developing best practices knowledge bases that summarize a wide range of enterprise processes. Central to those particular knowledge bases are common languages used to facilitate access and navigation through the knowledge base. This paper summarizes some of the evidence as to the necessity of common languages in best practices databases. Further, some barriers standing in the way of development and use of these common languages are summarized. In addition, this paper develops a model finding it is "impossible" to rationally choose a common language that meets needs of all individuals and the firm, unless dictatorship is allowed.
Evolution of research in geriatric psychiatry

During the past 30 years the knowledge base of geriatric psychiatry has grown exponentially to replace the folklore and myths which for many years pervaded the as yet undefined field of geriatric psychiatry. The advances in geriatric psychiatry, as with many areas of medicine, have been fostered by the appearance of sophisticated technologies including analytic chemistry techniques, functional and structural brain‐imaging studies and molecular biology. However, many of these advances could not have been achieved without the supported initiatives in education and research in geriatric psychiatry by major agencies such as the National Institute of Mental Health Center for Studies of Mental Health of the Aging and the National Institute for Aging. For example, the number of geriatric specialty training programs in the United States increased to more than 30 between 1978 and 1989 as compared to the existence of only one prior to 1978 in the setting of a medical school (Cohen, 1989). These clinical and research training programs continue to the present day and are not only the source of the future researchers in geriatric psychiatry but also the ‘centres’ of research activity in areas such as the mood disorders, dementias, late onset schizophrenia, anxiety, and other psychiatric disorders of the elderly which are reviewed in this issue of the Journal.