Implementation of a VLSI amplifier interfaced with biomedical sensors for ultra wide band data transmission

This thesis presents a CMOS Amplifier with High Common Mode rejection designed in UMC 130nm technology. The goal is to achieve a high amplification factor for a wide range of biological signals (with frequencies in the range of 10Hz-1KHz) and to reject the common-mode noise signal. It is here presented a Data Acquisition System, composed of a Delta-Sigma-like Modulator and an antenna, that is the core of a portable low-complexity radio system; the amplifier is designed in order to interface the data acquisition system with a sensor that acquires the electrical signal. The Modulator asynchronously acquires and samples human muscle activity, by sending a Quasi-Digital pattern that encodes the acquired signal. There is only a minor loss of information translating the muscle activity using this pattern, compared to an encoding technique which uses astandard digital signal via Impulse-Radio Ultra-Wide Band (IR-UWB). The biological signals, needed for Electromyographic analysis, have an amplitude of 10-100μV and need to be highly amplified and separated from the overwhelming 50mV common mode noise signal. Various tests of the firmness of the concept are presented, as well the proof that the design works even with different sensors, such as Radiation measurement for Dosimetry studies.

Secondary prevention through cardiac rehabilitation: physical activity counselling and exercise training: key components of the position paper from the Cardiac Rehabilitation Section of the European Association of Cardiovascular Prevention and Rehabilitation

Cardiac patients after an acute event and/or with chronic heart disease deserve special attention to restore their quality of life and to maintain or improve functional capacity. They require counselling to avoid recurrence through a combination of adherence to a medication plan and adoption of a healthy lifestyle. These secondary prevention targets are included in the overall goal of cardiac rehabilitation (CR). Cardiac rehabilitation can be viewed as the clinical application of preventive care by means of a professional multi-disciplinary integrated approach for comprehensive risk reduction and global long-term care of cardiac patients. The CR approach is delivered in tandem with a flexible follow-up strategy and easy access to a specialized team. To promote implementation of cardiac prevention and rehabilitation, the CR Section of the EACPR (European Association of Cardiovascular Prevention and Rehabilitation) has recently completed a Position Paper, entitled 'Secondary prevention through cardiac rehabilitation: A condition-oriented approach'. Components of multidisciplinary CR for seven clinical presentations have been addressed. Components include patient assessment, physical activity counselling, exercise training, diet/nutritional counselling, weight control management, lipid management, blood pressure monitoring, smoking cessation, and psychosocial management. Cardiac rehabilitation services are by definition multi-factorial and comprehensive, with physical activity counselling and exercise training as central components in all rehabilitation and preventive interventions. Many of the risk factor improvements occurring in CR can be mediated through exercise training programmes. This call-for-action paper presents the key components of a CR programme: physical activity counselling and exercise training. It summarizes current evidence-based best practice for the wide range of patient presentations of interest to the general cardiology community.

Genome-wide association study of intracranial aneurysm identifies three new risk loci

Saccular intracranial aneurysms are balloon-like dilations of the intracranial arterial wall; their hemorrhage commonly results in severe neurologic impairment and death. We report a second genome-wide association study with discovery and replication cohorts from Europe and Japan comprising 5,891 cases and 14,181 controls with approximately 832,000 genotyped and imputed SNPs across discovery cohorts. We identified three new loci showing strong evidence for association with intracranial aneurysms in the combined dataset, including intervals near RBBP8 on 18q11.2 (odds ratio (OR) = 1.22, P = 1.1 x 10(-12)), STARD13-KL on 13q13.1 (OR = 1.20, P = 2.5 x 10(-9)) and a gene-rich region on 10q24.32 (OR = 1.29, P = 1.2 x 10(-9)). We also confirmed prior associations near SOX17 (8q11.23-q12.1; OR = 1.28, P = 1.3 x 10(-12)) and CDKN2A-CDKN2B (9p21.3; OR = 1.31, P = 1.5 x 10(-22)). It is noteworthy that several putative risk genes play a role in cell-cycle progression, potentially affecting the proliferation and senescence of progenitor-cell populations that are responsible for vascular formation and repair.

Genome-wide association study identifies new HLA class II haplotypes strongly protective against narcolepsy

Narcolepsy is a rare sleep disorder with the strongest human leukocyte antigen (HLA) association ever reported. Since the associated HLA-DRB1*1501-DQB1*0602 haplotype is common in the general population (15-25%), it has been suggested that it is almost necessary but not sufficient for developing narcolepsy. To further define the genetic basis of narcolepsy risk, we performed a genome-wide association study (GWAS) in 562 European individuals with narcolepsy (cases) and 702 ethnically matched controls, with independent replication in 370 cases and 495 controls, all heterozygous for DRB1*1501-DQB1*0602. We found association with a protective variant near HLA-DQA2 (rs2858884; P < 3 x 10(-8)). Further analysis revealed that rs2858884 is strongly linked to DRB1*03-DQB1*02 (P < 4 x 10(-43)) and DRB1*1301-DQB1*0603 (P < 3 x 10(-7)). Cases almost never carried a trans DRB1*1301-DQB1*0603 haplotype (odds ratio = 0.02; P < 6 x 10(-14)). This unexpected protective HLA haplotype suggests a virtually causal involvement of the HLA region in narcolepsy susceptibility.

The Blue Dog Coalition: Impact of a Single-Issue Caucus from the 104th to the 110th Congress

The Blue Dog Coalition is an informal organization of legislators within the House of Representatives that strives to influence policy on fiscal responsibility, attract the attention of the electorate, They are a group that elicits wide range of reactions covering the length of the political spectrum, but despite this, their claims of special defense of fiscal conservatism within the Democratic Party have gone relatively undocumented by the academic community.This project has integrated a party literature with a caucus literature, in the attempt of building a novel framework for research. Work on polarization, the significance of parties, the purpose and history of caucuses all have been fused in such away that the Blue Dogs have created an opportunity to test broad congressional questions on a caucus-microcosm scale. Three important questions have emerged from the many possible avenues of exploration on the topic: How does admission into the Blue Dog Coalition effect voting behavior - measured by interest, ideology, and party unityscores? How does party leadership delegate prestigious committee assignments, a traditional indicator of partisan favor and influence, towards Blue Dogs? Can we use the Blue Dog Coalition as an indicator of fiscal conservatism? To each of these questions, a number of interesting results emerged. Blue Dogs, in the 104th scored higher in conservative interest group scores, more towards the center in ideological methods, and lower in party unity Dogs began to behave closer to their Democratic counterparts. In addition, membership on these select committees rose from a very small number to greater proportional parity within the Democratic Party. Perhaps most interesting, the Blue Dog Coalition does behave as a significant, independent predictor effect on NTU scores, a variable used to demonstrate fiscal conservatism. This research has shown, first and foremost, that it is useful and practical to applyold arguments within the party literature to a smaller, caucus level of analysis that is relatively untouched by the political science field. For the Blue Dogs, specifically, we have tested the validity of their claims in an attempt to reach broader questions ofdemocratic responsibility and electoral clarity. This work, and other work I have drawn upon, has barely scratched the surface on Blue Dog Democrats and other caucuses of comparable influence and popularity, and there remains a wealth of research material onthis caucus alone to be explored by scholars in the field of congressional politics.

Quantitative measurements in 3-dimensional datasets of mouse lymph nodes resolve organ-wide functional dependencies

Deep tissue imaging has become state of the art in biology, but now the problem is to quantify spatial information in a global, organ-wide context. Although access to the raw data is no longer a limitation, the computational tools to extract biologically useful information out of these large data sets is still catching up. In many cases, to understand the mechanism behind a biological process, where molecules or cells interact with each other, it is mandatory to know their mutual positions. We illustrate this principle here with the immune system. Although the general functions of lymph nodes as immune sentinels are well described, many cellular and molecular details governing the interactions of lymphocytes and dendritic cells remain unclear to date and prevent an in-depth mechanistic understanding of the immune system. We imaged ex vivo lymph nodes isolated from both wild-type and transgenic mice lacking key factors for dendritic cell positioning and used software written in MATLAB to determine the spatial distances between the dendritic cells and the internal high endothelial vascular network. This allowed us to quantify the spatial localization of the dendritic cells in the lymph node, which is a critical parameter determining the effectiveness of an adaptive immune response.

The Supreme Court Confirmation Process and Its Implications

In recent history, there has been a trend of increasing partisan polarization throughout most of the American political system. Some of the impacts of this polarization are obvious; however, there is reason to believe that we miss some of the indirect effects of polarization. Accompanying the trend of increased polarization has been an increase in the contentiousness of the Supreme Court confirmation process. I believe that these two trends are related. Furthermore, I argue that these trends have an impact on judicial behavior. This is an issue worth exploring, since the Supreme Court is the most isolated branch of the federal government. The Constitution structured the Supreme Court to ensure that it was as isolated as possible from short-term political pressures and interests. This study attempts to show how it may be possible that those goals are no longer being fully achieved. My first hypothesis in this study is that increases in partisan polarization are a direct cause of the increase in the level of contention during the confirmation process. I then hypothesize that the more contention a justice faces during his or her confirmation process, the more ideologically extreme that justice will then vote on the bench. This means that a nominee appointed by a Republican president will tend to vote even more conservatively than was anticipated following a contentious confirmation process, and vice versa for Democratic appointees. In order to test these hypotheses, I developed a data set for every Supreme Court nominee dating back to President Franklin D. Roosevelt¿s appointments (1937). With this data set, I ran a series of regression models to analyze these relationships. Statistically speaking, the results support my first hypothesis in a fairly robust manner. My regression results for my second hypothesis indicate that the trend I am looking for is present for Republican nominees. For Democratic nominees, the impacts are less robust. Nonetheless, as the results will show, contention during the confirmation process does seem to have some impact on judicial behavior. Following my quantitative analysis, I analyze a series of case studies. These case studies serve to provide tangible examples of these statistical trends as well as to explore what else may be going on during the confirmation process and subsequent judicial decision-making. I use Justices Stevens, Rehnquist, and Alito as the subjects for these case studies. These cases will show that the trends described above do seem to be identifiable at the level of an individual case. These studies further help to indicate other potential impacts on judicial behavior. For example, following Justice Rehnquist¿s move from Associate to Chief Justice, we see a marked change in his behavior. Overall, this study serves as a means of analyzing some of the more indirect impacts of partisan polarization in modern politics. Further, the study offers a means of exploring some of the possible constraints (both conscious and subconscious) that Supreme Court justices may feel while they decide how to cast a vote in a particular case. Given the wide-reaching implications of Supreme Court decisions, it is important to try to grasp a full view of how these decisions are made.

Integrated psychological therapy (IPT) for schizophrenia: is it effective?

Against the background of evidence-based treatments for schizophrenia, nowadays the implementation of specific cognitive and behavioral interventions becomes more important in the standard care of these patients. Over the past 25 years, research groups in 9 countries have carried out 30 independent evaluations of Integrated Psychological Therapy (IPT), a group program that combines neurocognitive and social cognitive interventions with social skills approaches for schizophrenic patients. The aim of the present study was to evaluate the effectiveness of IPT under varying treatment and research conditions in academic and nonacademic sites. In a first step, all 30 published IPT studies with the participation of 1393 schizophrenic patients were included in the meta-analysis. In a second step, only high-quality studies (HQS) (7 studies including 362 patients) were selected and analyzed to check whether they confirmed the results of the first step. Positive mean effect sizes favoring IPT over control groups (placebo-attention conditions, standard care) were found for all dependent variables, including symptoms, psychosocial functioning, and neurocognition. Moreover, the superiority of IPT continued to increase during an average follow-up period of 8.1 months. IPT obtained similarly favorable effects across the different outcome domains, assessment formats (expert ratings, self-reports, and psychological tests), settings (inpatient vs outpatient and academic vs nonacademic), and phases of treatment (acute vs chronic). The HQS confirmed the results of the complete sample. The analysis indicates that IPT is an effective rehabilitation approach for schizophrenia that is robust across a wide range of patients and treatment conditions.

A Qualitative Study on the Adoption of Copyright Assignment Agreements (CAA) and Copyright License Agreements (CLA) within Selected FOSS Projects

Open source software projects are multi-collaborative works incorporating the contributions of numerous developers who, in spite of publishing their code under a public license such as GPL, Apache or BSD, retain the copyright in their contributions. Having multiple copyright-owners can make the steering of a project difficult, if not impossible, as there is no ultimate authority able to take decisions relating to the maintenance and use of the project. This predicament can be remedied by centring the dispersed copyrights in a single authority via contributor agreements. Whether to introduce contributor agreements, and if so in which form, is a pressing question for many emerging, but also for established projects. The current paper provides an insight into the ethos of different projects and their reason for adopting or rejecting particular contributor agreements. It further examines the exact set-up of the contributor agreements used and concludes that smart drafting can blur the difference between CAAs and CLAs to a considerable extent, manoeuvring them into a legal grey area. To avoid costly litigation to test the legal enforceability of individual clauses, this paper proposes the establishment of an international committee comprised of developers, product managers and lawyers interested in finding a common terminology that may serve as a foundation for every contributor agreement

IFSSH Flexor Tendon Committee report 2014: from the IFSSH Flexor Tendon Committee (Chairman: Jin Bo Tang)

Hand surgeons continue to search for the best surgical flexor tendon repair and treatment of the tendon sheaths and pulleys, and they are attempting to establish postoperative regimens that fit diverse clinical needs. It is the purpose of this report to present the current views, methods, and suggestions of six senior hand surgeons from six different countries - all experienced in tendon repair and reconstruction. Although certainly there is common ground, the report presents provocative views and approaches. The report reflects an update in the views of the committee. We hope that it is helpful to surgeons and therapists in treating flexor tendon injuries.

Molecular analysis of TNF sensitivity in normal and Ha-{\it ras\/} transformed murine fibroblasts

Tumor necrosis factor (TNF) is known to have antiproliferative effects on a wide variety of tumor cells but proliferative effects on normal cells. However, the molecular basis for such differences in the action of TNF are unknown. The overall objectives of my research are to investigate the role of oncogenes in TNF sensitivity and delineate some of the molecular mechanisms involved in TNF sensitivity and resistance. To accomplish these objectives, I transfected TNF-resistant C3H mouse embryo fibroblasts (10T1/2) with an activated Ha-ras oncogene and determined whether these cells exhibit altered sensitivity to TNF. The results indicated that 10T1/2 cells transfected with an activated Ha-ras oncogene (10T-EJ) not only produced tumors in nude mice but also exhibited extreme sensitivity to cytolysis by TNF. In contrast, 10T1/2 cells transfected with the pSV2-neo gene alone were resistant to the cytotoxic effects of TNF. I also found that TNF-induced cell death was mediated through apoptosis. The differential sensitivity of 10T1/2 and 10T-EJ cell lines to TNF was not due to differences in the number of TNF receptors on their cell surface. In addition, TNF-resistant revertants isolated from Ha-ras-transformed, TNF-sensitive cells still expressed the same amount of p21 as TNF-sensitive cells and were still tumorigenic, suggesting that Ha-ras-induced transformation and TNF sensitivity may follow different pathways. Interestingly, TNF-resistant but not sensitive cells expressed higher levels of bcl-2, c-myc, and manganese superoxide dismutase (MnSOD) mRNA following exposure to TNF. However, TNF treatment resulted in a marginal induction of p53 mRNA in both TNF-sensitive and resistant cells. Based on these results I can conclude that (i) Ha-ras oncogene induces both transformation and TNF sensitivity, (ii) TNF-induced cytotoxicity involves apoptosis, and (iii) TNF-induced upregulation of bcl-2, c-myc, and MnSOD genes is associated with TNF resistance in C3H mouse embryo fibroblasts. ^

Detection of convergent genome-wide signals of adaptation to tropical forests in humans

Tropical forests are believed to be very harsh environments for human life. It is unclear whether human beings would have ever subsisted in those environments without external resources. It is therefore possible that humans have developed recent biological adaptations in response to specific selective pressures to cope with this challenge. To understand such biological adaptations we analyzed genome-wide SNP data under a Bayesian statistics framework, looking for outlier markers with an overly large extent of differentiation between populations living in a tropical forest, as compared to genetically related populations living outside the forest in Africa and the Americas. The most significant positive selection signals were found in genes related to lipid metabolism, the immune system, body development, and RNA Polymerase III transcription initiation. The results are discussed in the light of putative tropical forest selective pressures, namely food scarcity, high prevalence of pathogens, difficulty to move, and inefficient thermoregulation. Agreement between our results and previous studies on the pygmy phenotype, a putative prototype of forest adaptation, were found, suggesting that a few genetic regions previously described as associated with short stature may be evolving under similar positive selection in Africa and the Americas. In general, convergent evolution was less pervasive than local adaptation in one single continent, suggesting that Africans and Amerindians may have followed different routes to adapt to similar environmental selective pressures.

Now You See it, Now You Don't: Why Do Real Estate Agents Withhold Available Houses from Black Customers?

Potential home buyers may initiate contact with a real estate agent by asking to see a particular advertised house. This paper asks whether an agent's response to such a request depends on the race of the potential buyer or on whether the house is located in an integrated neighborhood. We build on previous research about the causes of discrimination in housing by using data from fair housing audits, a matched-pair technique for comparing the treatment of equllay qualified black and white home buyers. However, we shift the focus from differences in the treatment of paired buyers to agent decisions concerning an individual housing unit using a sample of all houses seen during he 1989 Housing Discrimination study. We estimate a random effect, multinomial logit model to explain a real estate agent's joint decisions concerning whether to show each unit to a black auditor and to a white auditor. We find evidence that agents withhold houses in suburban, integrated neighborhoods from all customers (redlining), that agents' decisions to show houses in integrated neighborhoods are not the same for black and white customers (steering), and that the houses agents show are more likely to deviate from the initial request when the customeris black than when the customer is white. These deviations are consistent with the possibility that agents act upon the belief that some types of transactions are relatively unlikely for black customers (statistical discrimination).

The information bottleneck method for genome-wide association studies

In population studies, most current methods focus on identifying one outcome-related SNP at a time by testing for differences of genotype frequencies between disease and healthy groups or among different population groups. However, testing a great number of SNPs simultaneously has a problem of multiple testing and will give false-positive results. Although, this problem can be effectively dealt with through several approaches such as Bonferroni correction, permutation testing and false discovery rates, patterns of the joint effects by several genes, each with weak effect, might not be able to be determined. With the availability of high-throughput genotyping technology, searching for multiple scattered SNPs over the whole genome and modeling their joint effect on the target variable has become possible. Exhaustive search of all SNP subsets is computationally infeasible for millions of SNPs in a genome-wide study. Several effective feature selection methods combined with classification functions have been proposed to search for an optimal SNP subset among big data sets where the number of feature SNPs far exceeds the number of observations. ^ In this study, we take two steps to achieve the goal. First we selected 1000 SNPs through an effective filter method and then we performed a feature selection wrapped around a classifier to identify an optimal SNP subset for predicting disease. And also we developed a novel classification method-sequential information bottleneck method wrapped inside different search algorithms to identify an optimal subset of SNPs for classifying the outcome variable. This new method was compared with the classical linear discriminant analysis in terms of classification performance. Finally, we performed chi-square test to look at the relationship between each SNP and disease from another point of view. ^ In general, our results show that filtering features using harmononic mean of sensitivity and specificity(HMSS) through linear discriminant analysis (LDA) is better than using LDA training accuracy or mutual information in our study. Our results also demonstrate that exhaustive search of a small subset with one SNP, two SNPs or 3 SNP subset based on best 100 composite 2-SNPs can find an optimal subset and further inclusion of more SNPs through heuristic algorithm doesn't always increase the performance of SNP subsets. Although sequential forward floating selection can be applied to prevent from the nesting effect of forward selection, it does not always out-perform the latter due to overfitting from observing more complex subset states. ^ Our results also indicate that HMSS as a criterion to evaluate the classification ability of a function can be used in imbalanced data without modifying the original dataset as against classification accuracy. Our four studies suggest that Sequential Information Bottleneck(sIB), a new unsupervised technique, can be adopted to predict the outcome and its ability to detect the target status is superior to the traditional LDA in the study. ^ From our results we can see that the best test probability-HMSS for predicting CVD, stroke,CAD and psoriasis through sIB is 0.59406, 0.641815, 0.645315 and 0.678658, respectively. In terms of group prediction accuracy, the highest test accuracy of sIB for diagnosing a normal status among controls can reach 0.708999, 0.863216, 0.639918 and 0.850275 respectively in the four studies if the test accuracy among cases is required to be not less than 0.4. On the other hand, the highest test accuracy of sIB for diagnosing a disease among cases can reach 0.748644, 0.789916, 0.705701 and 0.749436 respectively in the four studies if the test accuracy among controls is required to be at least 0.4. ^ A further genome-wide association study through Chi square test shows that there are no significant SNPs detected at the cut-off level 9.09451E-08 in the Framingham heart study of CVD. Study results in WTCCC can only detect two significant SNPs that are associated with CAD. In the genome-wide study of psoriasis most of top 20 SNP markers with impressive classification accuracy are also significantly associated with the disease through chi-square test at the cut-off value 1.11E-07. ^ Although our classification methods can achieve high accuracy in the study, complete descriptions of those classification results(95% confidence interval or statistical test of differences) require more cost-effective methods or efficient computing system, both of which can't be accomplished currently in our genome-wide study. We should also note that the purpose of this study is to identify subsets of SNPs with high prediction ability and those SNPs with good discriminant power are not necessary to be causal markers for the disease.^