Miracle-dz/UniFAR-FTUs huggingface dataset:
Antihypertensive Drug-Gene Interactiosn and Cardiovascular Outcomes

textabstractHypertension is a major public health hazard, because of its high prevalence and strong positive association with cardiovascular diseases. Suboptimal blood pressure control is the number one attributable risk for death in the Western world, despite the possibilities to treat hypertension. Higher pre-treatment blood pressure levels are associated with a greater antihypertensive drug response, but this relation is not specific to a particular antihypertensive drug or drug class nor can it be predicted from patients characteristics. Therefore, the selection of the most appropriate pharmacological treatment for an individual patient is a matter of trial and errors. Pharmacogenetics aims to understand how genetic variations contribute to the variation in response to medication. In this thesis, we investigated whether five of these drug-gene interactions modified the effect of antihypertensive drugs on blood pressure, atherosclerosis, and the risk of myoc! ardial infarction (MI) and stroke in daily practise. The five candidate gene polymorphisms were: the angiotensin converting enzyme (ACE) insertion/deletion (I/D), angiotensinogen (AGT) M235T, angiotensin II receptor type 1 (AGTR1) 1166A/C or 573C/T, a-adducin (ADD1) G460W, and I²3-subunit of the G-protein (GNB3) 825C/T polymorphism. The results of this thesis suggests the presences of two drug-gene interactions i.e. the interaction between the use of ACE-inhibitors and AGT M235T polymorphism on the risk of MI and the interaction between the use of diuretics and the GNB3 825C/T polymorphism on systolic blood pressure.
Corpus Annotation: Linguistic Information from Computer Text Corpora

List of contributors Preface 1. Introducing corpus annotation Geoffrey Leech 2. Grammatical tagging Geoffrey Leech 3. Syntactic annotation: treebanks Geoffrey Leech and Elizabeth Eyes 4. Semantic annotation Andrew Wilson and Jenny Thomas 5. Discourse annotation: anaphoric relations in corpora Roger Garside, Steve Fligelstone and Simon Botley 6. Further levels of annotation Geoffrey Leech, Anthony McEnery and Martin Wynne 7. A hybrid grammatical tagger: CLAWS4 Roger Garside and Nicholas Smith 8. How to generalise the task of annotation Steve Fligelstone, Mike Pacey and Paul Rayson 9. Improving a tagger Nicholas Smith 10. Retageting a tagger Fernando Sanchez Leon and Amalio F.Nieto-Serrano 11. The use of syntactic annotation tools: partial and full parsing Jeremy Bateman, Jean Forrest, and Tim Willis 12. Higher-level annotation tools Roger Garside and Paul Rayson 13. A corpus/annotation toolbox Anthony McEnery and Paul Rayson 14. A corpus-based grammar tool Anthony McEnery, John Paul Baker and John Hutchinson 15. The exploitation of multilingual annotated corpora for term extraction Anthony McEnery, Jean-Marc Lange, Michael Oakes and Jean Veronis 16. Cross-linguistic guidelines for the annotation of corpora Peter Kahrel, Ruthanna Barnett and Geoffrey Leech 17. Consistency and accuracy in correcting automatically-tagged corpora John Paul Baker Appendix I: Sources for further information (WWW and e-mail addresses) Appendix II: Abbreviations and acronyms Appendix III: Specimen annotation practices: the C7 and C5 tagsets Bibliography Index
Genomics of endoglin pathway in preeclampsia

THE GENOMICS OF ENDOGLIN PATHWAY IN PREECLAMPSIA Mandy J. Bell, PhD, RN University of Pittsburgh, 2012 Preeclampsia is a pregnancy disorder that greatly impacts maternal and fetal/neonatal health and wellbeing. This case-control candidate gene association study investigated endoglin pathway genetic variation and its association with preeclampsia. Tagging single nucleotide polymorphisms (tSNPs) in ENG, TGFβ1, TGFβR1, ALK1, and TGFβR2 were genotyped with iPLEX® and TaqMan® in maternal/fetal dyads. The Prenatal Exposures and Preeclampsia Prevention study provided maternal DNA extracted from peripherally collected white blood cell pellets, along with umbilical cord serum we used for fetal DNA extraction. Data on 355 white (181 cases/174 controls) and 60 black (30 cases/30 controls) women matched on ancestry, age, and parity were analyzed. Separate subgroup allele/genotype/haplotype tests were conducted with Chi-square or Fisher’s exact tests. Binary logistic regression provided odds ratios for tSNPs with significant genotype tests. Analysis of maternal/fetal dyads was not conducted, because unlike the maternal samples, the fetal samples did not provide a quality template suitable for iPLEX® data collection. In white women, variation in ENG (rs11792480, rs10121110) and TGFβR2 (rs6550005) was associated with preeclampsia. Allelic frequency distributions in rs11792480, rs10121110, and rs6550005 were significantly different among cases and controls while genotype distributions of rs10121110 and rs6550005 were further associated with preeclampsia (p-values < .05). For rs10121110, women with the AA genotype were 2.290 times more likely to develop preeclampsia compared to the GG genotype (99% CI [1.022, 5.133], p = .008). ENG haplotype TACGA, which contains rs11792480 and rs10121110 risk alleles, was also over-represented in cases (p = .022). In black women, variation in TGFβ1 (rs4803455, rs4803457), TGFβR1 (rs10739778), and TGFβR2 (rs6550005, rs1346907, rs877572) was associated with preeclampsia. Allelic frequency distributions in rs10739778, rs6550005, rs1346907, and rs877572 were significantly different among cases and controls while genotype distributions of rs10739778, rs4803455, and rs4803457 were further associated with preeclampsia (p-values < .05). For rs4803457, women with the CT genotype were 7.437 more times likely to develop preeclampsia compared to the CC genotype (99% CI [1.192, 46.408], p = .005). These results demonstrate that variation in ENG pathway genes is associated with preeclampsia, with different genes from the same pathway contributing to preeclampsia in white compared to black women.
The Trained Skill Baju Kurung for Homemakers at the Society Learning Centre (PKBM) in Padang

This community service was because many homemakers had much free time, but they did not yet have productive activities that could help adding the family income. Therefore, they were put in a program and trained to sew bajukurung. The aim was to have the women skillfully so that they were motivated to work hard and eager to open their own sewing business. The participants of the program were 20 homemakers living at Koto Panjang Ikur Koto, and Air Pacah. The methods used in the program were: (1) counseling; it was to prepare the participants to have a motivation, passion and characters, (2) experiment; used to train the participants to be skillful in sewing bajukurung, begin with the measurement, cutting, and then sewing. The outcomes of the programs were having the participants informed and trained, the instructors helped them and showed them ways to sew. The training had been conducted. The participants could do measurement; they could draft the patterns, cut the cloth and sew it to
A picture is worth 150 words: using Wordle to assess library instruction

At Indiana University Purdue University Indianapolis (IUPUI), library instruction takes place in a variety of settings, including computer labs and classrooms in the library or across campus. The available instruction time may vary from a five or ten minute introduction squeezed into a class meeting to an in-depth session lasting more than two hours or over multiple classroom visits. Librarians are involved with face-to-face, online, and hybrid (online plus face-to-face) courses as part of instructional teams in the freshman learning communities (firstyear seminars), and support campus programs such as University College--the first year student’s “home base” for college orientation, the Honors College, Summer Bridge, as well as new endeavors, including the Research, International Study, Service and Experiential Learning (RISE) initiative. Librarians at IUPUI have a considerable history of contributing to campus planning by developing information literacy competencies and other documents to support the IUPUI Principles of Undergraduate Learning (PULs) as well as departmental curricula. With more than 30,000 diverse students from 112 countries and all 50 states, we face many of the same assessment challenges as faculty: how to be innovative and resourceful when devising appropriate assessment techniques to gather information about our impact on student learning (Angelo & Cross, 1993).
Synopsis of Findings from Recent Studies on Dengue in Sri Lanka

The pattern of dengue in Sri Lanka changed after 1989, with an exponential increase in the incidence of DHF. In 2004, a major epidemic of dengue infection occurred in Sri Lanka, which accounted for 15 457 cases and 88 deaths. The findings from recent studies on dengue are outlined here, which highlight the implications with regard to the management and control of this infection in the country.
Rare Copy Number Variants Identify Novel Genes in Sporadic Total Anomalous Pulmonary Vein Connection

Total anomalous pulmonary venous connection (TAPVC) is a rare congenital heart anomaly. Several genes have been associated TAPVC but the mechanisms remain elusive. To search novel CNVs and candidate genes, we screened a cohort of 78 TAPVC cases and 100 healthy controls for rare copy number variants (CNVs) using whole exome sequencing (WES). Then we identified pathogenic CNVs by statistical comparisons between case and control groups. After that, we identified altogether eight pathogenic CNVs of seven candidate genes (PCSK7, RRP7A, SERHL, TARP, TTN, SERHL2, and NBPF3). All these seven genes have not been described previously to be related to TAPVC. After network analysis of these candidate genes and 27 known pathogenic genes derived from the literature and publicly database, PCSK7 and TTN were the most important genes for TAPVC than other genes. Our study provides novel candidate genes potentially related to this rare congenital birth defect (CHD) which should be further fundamentally researched and discloses the possible molecular pathogenesis of TAPVC.
Potential Pandemic of H7N9 Avian Influenza A Virus in Human

Since 2013, the H7N9 avian influenza A virus (AIV) has caused human infections and to the extent of now surpassing H5N1. This raises an alarm about the potential of H7N9 to become a pandemic problem. Our compilation of the amino acid changes required for AIVs to cross the species-barrier discovers 58 that have very high proportions in both the human- and avian-isolated H7N9 viruses. These changes correspond with sporadic human infections that continue to occur in regions of avian infections. Among the six internal viral genes, amino acid changes do not differ significantly between H9N2 and H7N9, except for V100A in PA, and K526R, D627K, and D701N in PB2. H9N2 AIVs provide internal genes to H7N9. Most of the amino acid changes in H7N9 appear to come directly from H9N2. Seventeen amino acid substitutions appear to have fixed quickly by the 5th wave. Among these, six amino acid sites in HA1 are receptor binding sites, and PB2-A588V was shown to promote the adaptation of AIVs to mammals. The accelerated fixation of mutations may promote the adaptation of H7N9 to human, but need further functional evidence. Although H7N9 AIVs still cannot efficiently transmit between humans, they have the genetic makeup associated with human infections. These viruses must be controlled in poultry to remove the threat of it becoming a human pandemic event.
Event Triggered Distributed Optimization Based on Dual Decomposition

: As the size of systems to be controlled gets larger, distributed optimization is becoming one of the signiﬁcant topics, where each local optimization problem is solved by an individual computer in parallel and in a synchronize manner to derive a global optimal solution more quickly and robustly than centralized methods. However, most distributed optimization techniques require synchronous communication, where optimization results derived by individual computers are shared at the end of each iteration. This paper proposes a distributed optimization algorithm with event triggered communication where the iterations are synchronized but the communication does not happen in every iteration. Then both synchronous and event triggered algorithms are compared through numerical simulation to show that communication costs drop signiﬁcantly.
Statistical aspects of elastic scattering spectroscopy with applications to cancer diagnosis

Elastic scattering spectroscopy (ESS), is a non-invasive and real-time in vivo optical diagnosis technique sensitive to changes in the physical properties of human tissue, and thus able to detect early cancer and precancerous changes. This thesis focuses on the statistical issue on how to eliminate irrelevant variations in the high-dimensional ESS spectra and extract the most useful information to enable the classification of tissue as normal or abnormal. Multivariate statistical methods have been used to tackle the problems, among which principal component discriminant analysis and partial least squares discriminant analysis are the most explored throughout the thesis as general tools for supervised dimension reduction and classification. Customized multivariate methods are proposed in the specific context of ESS. When ESS spectra are measured in vivo by a hand-held optical probe, differences in the angle and pressure of the probe are a major source of variability between the spectra from replicate measurements. A customized spectral pre-treatment called error removal by orthogonal subtraction (EROS) is designed to ameliorate the effect of this variability. This pre-treatment reduces the complexity and increases both the accuracy and interpretability of the subsequent classification models when applied to early detection of cancer risk in Barrett’s oesophagus. For the application of ESS to diagnosis of sentinel lymph node metastases in breast cancer, an automated ESS scanner was developed to take measurements from a larger area of tissue to produce ESS images for cancer diagnosis. Problems arise due to the existence of background area in the image with considerable between-node variation and no training data available. A partially supervised Bayesian multivariate finite mixture classification model with a Markov random field spatial prior in a reduced dimensional space is proposed to recognise the background area automatically at the same time as distinguishing normal from metastatic tissue.
Neural Network Classification of Corneal Topography

Purpose. Videokeratography is a powerful tool for the diagnosis of corneal shape abnormalities. However, interpretation of the topographic map is sometimes difficult, especially when pathologies with similar topographic patterns are suspected. The neural networks model, an artificial intelligence approach, was applied for automated pattern interpretation in corneal topography, and its usefulness was assessed. Methods. One hundred eighty-three topographic maps were selected and classified by human experts into seven categories: normal, with-the-rule astigmatism, keratoconus (mild, moderate, advanced), postphotorefractive keratectomy, and postkeratoplasty. The maps were divided into a training set (108 maps) and a Lest set (75 maps). For each map, 11 topographycharacterizing indices calculated from the data provided by the TMS-1 videokeratoscope, plus the corresponding diagnosis category, were used to train a neural network. Results. The correct classification was achieved by a trained neural network for all 108 maps in the training set. In the test set, the neural network correctly classified 60 of 75 maps (80%). For every category, accuracy and specificity were greater than 90%, whereas sensitivity ranged from 44% to 100%. Conclusions. With further testing and refinement, the neural networks paradigm for computerassisted interpretation or objective classification of videokeratography may become a useful tool to aid the clinician in the diagnosis of corneal topographic abnormalities. Invest Ophthalmol Vis Sci. 1995; 36:1327-1335. JVeratometry and photokeratoscopy are useful to evaluate topographic abnormalities of the cornea. However, it is difficult to assess the precise characteristics of corneal shape by means of keratometry readings or inspection of mire images alone. Computer-assisted data analysis' and graphic presentation in the form of color-coded maps 2 have greatly expanded the information obtainable from videpkeratography. Consequently, this procedure has become the only clinically available examination that can detect subtle topo
Radial equivalents to map networks to market formats- an approach using quadratic programming

Summary form only given as follows. In deregulated electricity markets, transactions take place between suppliers and buyers located at different nodes of the network. The electrical network connecting such transacting nodes may form complex paths between nodes with intermediate nodes and parallel paths. This paper maps the complex meshed electrical network to radial network equivalents to mirror the transactions. Such equivalent networks do not replace the existing power flow analyses, simultaneous feasibility tests, or other procedures. However, the equivalents obtained by using quadratic programs, retain the properties and laws of physics of the original network while offering a convenient method of tracking market transactions to allocate costs and responsibilities. Applications to the allocation of losses, reactive power, and congestion contracts are shown.
The Application of Meta-Heuristic Algorithms in Automatic Software Test Case Generation

Nowadays, software test is one of the most important activities that software’s quality will be certified by it. Test operation includes program’s implement on test case set and comparison of results with expected one. Manual test case for operation test program and error detect is time consuming with insufficient precision and complicated coverage of program, so, the use of algorithms in automatic test case generation has been considered. Meta-heuristic algorithms are known tools which are optimized and used in test case generation. Most of complicated matters need a lot of possible states assessment in order to reach the valid answer. With the proper answer, test case optimization and meta-heuristic algorithms play a constructive role. In this paper we would compare methods and their traits, and the software test case generation methods based on metaheuristic algorithms with their description.
Validity and reliability of clinical tests for the sacroiliac joint. A review of literature.

Background: The sacroiliac joint (SIJ) can be a source of low back pain. The complexity of the system involving the SIJ and the varied SIJ pain referral pattern makes it difficult to clinically assess SIJ dysfunction. Despite the emergence of detail of the SIJ complex, the basis of the clinical tests has not been thoroughly investigated. Objective: To review the literature from the last decade dealing with the validity and reliability of clinical tests for SIJ dysfunction in order to determine which tests are reliable and valid. Discussion: For clinical tests with multiple studies, there was agreement on reliability for Gaenslens, Thigh Thrust test, Finger Point test and SIJ Pain Mapping and agreement on validity for Thigh Thrust test. However, Gillets Test, Patrick’s FABER and Sacral Thrust/Compression were considered invalid and unreliable, although these results may have been influenced by methodological shortcomings. Examination of the entire SIJ complex may mean that a series of tests are required.
Experimenting With Exception Handling Mechanisms Of Web Services Implemented Using Different Development Kits

Achieving high dependability and fault-tolerance in service-oriented architecture (SOA) is an open problem. Exception handling is one of the powerful means for improving the quality of SOA. The paper discusses the results of experimental analysis of the SOA-specific exceptions and factors affecting availability and faulttolerance of Web Services, implemented using two development kits: JAX-RPC implementation at Sun Microsystems and IBM WebSphere Software Developer Kit for Web Services. We specifically focus on the results of exception propagation and performance analysis. Finally, applications of different error recovery strategies including backward, forward and enhanced forward error recovery, in the context of SOA are briefly discussed. © 2007 University of Newcastle upon Tyne. Printed and published by the University of Newcastle upon Tyne, Computing Science, Claremont Tower, Claremont Road, Newcastle upon Tyne, NE1 7RU, England. Bibliographical details GORBENKO, A. , MIKHAYLICHENKO, A. , KHARCHENKO, V. , ROMANOVSKY, A. Experimenting With Exception Handling Mechanisms Of Web Services Implemented Using Different Development Kits [By] A. Gorbenko, A. Mikhaylichenko, V. Kharchenko, A. Romanovsky. Newcastle upon Tyne: University of Newcastle upon Tyne: Computing Science, 2007. (University of Newcastle upon Tyne, Computing Science, Technical Report Series, No. CS-TR-1010)
SIMSUM: Stata module to perform analyses of simulation studies including Monte Carlo error

simsum analyses data from simulation studies. The data may comprise point estimates and standard errors from several analysis methods, possibly resulting from several different simulation settings. -simsum- can report bias, empirical standard error, relative precision, average model-based standard error and its relative error, coverage and power. Monte Carlo errors are available in all cases.
Quality of service for internet multimedia

Continuous media applications have exceptionally stringent QoS requirements, and QoS for multimedia will remain a challenge well into the future. The solution begins with service-differentiated networks capable of providing appropriate grades of service to each application. This book takes the next step, showing how continuous media applications and QoS-enabled networks can interact, and offering a leading-edge framework in which applications and the network can cooperatively optimize end-to-end QoS.Coverage includes: New video-categorization schemes for assigning video-packet-to-network differentiated service classes Adaptive packet-forwarding mechanisms that improve cooperation between multimedia applications and networks Dynamic QoS mapping-control schemes that let DiffServ networks deliver variable media streams with consistent quality Fine-Grained Scalable MPEG-4-based video streamingoseamlessly integrating rate adaptation, prioritized packetization, and loss-based differential forwarding Joint-source-network approach: layered video combining application-level UEP with network-level QoS support New network service models for layered video multicasting across DiffServ networksWhether you're a multimedia researcher, designer, developer, or implementer, these advanced techniques can help you optimize performance, content categorization, and quality control.