LLukas22/scidocs huggingface dataset:
Justice and Adaptation to Climate Change

Adaptation to climate change presents dilemmas of justice to the international community, including those around the responsibility of developed countries to assist developing countries in adapting to changing climate. We propose a framework for analysing justice issues in these contexts and examine justice implications of international environmental law on adaptation. We argue that adaptation involves both distributive and procedural justice; the former focusing on the incidence of consequences of adaptive responses and the latter on how decisions on adaptation are made. Moreover, both consequentialist and deontological concerns must be recognised in the two areas of justice. Adaptation is comprised of inaction and proactive and reactive responses at the international, national, local and individual levels. Inaction at higher levels delegates the responsibility for adaptation to lower levels, and higher-level responses influence alternatives that are available at lower levels. Justice is thus always implicit in the choice of adaptive responses. We discuss how international law on adaptation expresses a commitment to assist developing countries but does not provide a clear foundation for it and does not resolve how the burden of funding ought to be shared and how the adaptation funds ought to be distributed. The Marrakech Accords of the Framework Convention on Climate Change have increased the emphasis on procedural justice, such as the role of developing countries in decisions on adaptation. While creating ways to acknowledge and hear developing country and local voices, the recent legal changes do not create full rights to participation in decision-making on adaptive responses.
Prevention of Nocturnal Hypoglycemia Using Predictive Alarm Algorithms and Insulin Pump Suspension

OBJECTIVE
The aim of this study was to develop a partial closed-loop system to safely prevent nocturnal hypoglycemia by suspending insulin delivery when hypoglycemia is predicted in type 1 diabetes.


RESEARCH DESIGN AND METHODS
Forty subjects with type 1 diabetes (age range 12-39 years) were studied overnight in the hospital. For the first 14 subjects, hypoglycemia (<60 mg/dl) was induced by gradually increasing the basal insulin infusion rate (without the use of pump shutoff algorithms). During the subsequent 26 patient studies, pump shutoff occurred when either three of five (n = 10) or two of five (n = 16) algorithms predicted hypoglycemia based on the glucose levels measured with the FreeStyle Navigator (Abbott Diabetes Care).


RESULTS
The standardized protocol induced hypoglycemia on 13 (93%) of the 14 nights. With use of a voting scheme that required three algorithms to trigger insulin pump suspension, nocturnal hypoglycemia was prevented during 6 (60%) of 10 nights. When the voting scheme was changed to require only two algorithms to predict hypoglycemia to trigger pump suspension, hypoglycemia was prevented during 12 (75%) of 16 nights. In the latter study, there were 25 predictions of hypoglycemia because some subjects had multiple hypoglycemic events during a night, and hypoglycemia was prevented for 84% of these events.


CONCLUSIONS
Using algorithms to shut off the insulin pump when hypoglycemia is predicted, it is possible to prevent hypoglycemia on 75% of nights (84% of events) when it would otherwise be predicted to occur.
Generic versus branded enoxaparin in prophylaxis and treatment of vein thrombosis.

OBJECTIVES
to compare the biological efficacy of generic enoxaparin (HeptronTM) versus branded Sanofi-Aventis enoxaparin for prophylaxis and treatment of lower-extremity deep venous thrombosis (DVT) in a prospective, randomized, open-label study.


METHODS
patients with diagnosed lower-extremity DVT (therapeutic branch, n=57) and patients requiring venous thromboembolism (VTE) prophylaxis after arterial vascular surgery or major lower-extremity amputations (prophylactic branch, n=57) were randomized to receive generic or branded enoxaparin for up to seven days. Enoxaparin activity was measured by estimating blood anti-factor Xa levels at the peak plasma concentration. As secondary outcomes, development or progression of VTE events, major adverse events and major bleeding events were considered for efficacy and safety comparisons.


RESULTS
DVT therapy: twenty-five patients received generic enoxaparin while 32 received branded enoxaparin (subcutaneous, 1 mg/kg BID). Mean percentages of anti-factor Xa levels within the target ranges were 62 ± 35.4% and 67.5 ± 24.7%, respectively (p= .035 for non-inferiority). No patient presented DVT progression, clinically detectable pulmonary embolism, or major bleeding events in any subgroup. DVT prophylaxis: Thirty patients received generic enoxaparin and 27 received branded enoxaparin (subcutaneous, 40 mg/day). Mean percentages of anti-factor Xa levels within the target ranges were 77.9 ± 30.9% and 77.8 ± 32.9%, respectively (p = .009 for non-inferiority). There were no cases of VTE or major bleeding events in any subgroup.


CONCLUSION
generic and branded enoxaparins exhibited similar in vivo responses as measured by the anti-factor Xa activity, as well as similar clinical efficacy and safety outcomes.
A Multiple-Filter-Multiple-Wrapper Approach to Gene Selection and Microarray Data Classification

Filters and wrappers are two prevailing approaches for gene selection in microarray data analysis. Filters make use of statistical properties of each gene to represent its discriminating power between different classes. The computation is fast but the predictions are inaccurate. Wrappers make use of a chosen classifier to select genes by maximizing classification accuracy, but the computation burden is formidable. Filters and wrappers have been combined in previous studies to maximize the classification accuracy for a chosen classifier with respect to a filtered set of genes. The drawback of this single-filter-single-wrapper (SFSW) approach is that the classification accuracy is dependent on the choice of specific filter and wrapper. In this paper, a multiple-filter-multiple-wrapper (MFMW) approach is proposed that makes use of multiple filters and multiple wrappers to improve the accuracy and robustness of the classification, and to identify potential biomarker genes. Experiments based on six benchmark data sets show that the MFMW approach outperforms SFSW models (generated by all combinations of filters and wrappers used in the corresponding MFMW model) in all cases and for all six data sets. Some of MFMW-selected genes have been confirmed to be biomarkers or contribute to the development of particular cancers by other studies.
Longitudinal validation of the Test for Respiratory and Asthma Control in Kids in pediatric practices.

OBJECTIVE
The 5-item, caregiver-completed Test for Respiratory and Asthma Control in Kids (TRACK) was developed and validated primarily in asthma-specialist practices to monitor respiratory control in preschool-aged children. This longitudinal study in children treated by pediatricians evaluated the responsiveness of TRACK to changes in respiratory- and asthma-control status over time and further assessed TRACK's reliability and validity.


PATIENTS AND METHODS
Caregivers of children younger than 5 years with symptoms consistent with asthma within the past year (N = 438) completed TRACK at 2 clinic visits separated by 4 to 6 weeks. Physicians were blinded to caregiver assessment, completed a guidelines-based respiratory-control survey at both visits, and were asked whether the visit resulted in a change in therapy. Responsiveness of TRACK to change in respiratory-control status over time was evaluated; reliability and discriminant validity were assessed.


RESULTS
Mean changes in TRACK scores from the initial to follow-up visits differed in the expected direction in subsets of children whose clinical status improved, remained unchanged, or worsened based on physicians' and caregivers' assessments (P < .001). Mean TRACK scores also differed significantly (P < .001) across patient subsets, with lower scores (indicating poorer control) in children classified as very poorly controlled, in those who required a step-up in therapy, and in those who had 4 or more episodes or attacks of wheezing, coughing, or shortness of breath per week in the past 3 months.


CONCLUSIONS
The present study extends the validity and reliability of TRACK by demonstrating its responsiveness to change in respiratory-control status over time in preschool-aged children with symptoms consistent with asthma.
Refining Architectures of Deep Convolutional Neural Networks

Deep Convolutional Neural Networks (CNNs) have recently evinced immense success for various image recognition tasks [11, 27]. However, a question of paramount importance is somewhat unanswered in deep learning research - is the selected CNN optimal for the dataset in terms of accuracy and model size? In this paper, we intend to answer this question and introduce a novel strategy that alters the architecture of a given CNN for a specified dataset, to potentially enhance the original accuracy while possibly reducing the model size. We use two operations for architecture refinement, viz. stretching and symmetrical splitting. Stretching increases the number of hidden units (nodes) in a given CNN layer, while a symmetrical split of say K between two layers separates the input and output channels into K equal groups, and connects only the corresponding input-output channel groups. Our procedure starts with a pre-trained CNN for a given dataset, and optimally decides the stretch and split factors across the network to refine the architecture. We empirically demonstrate the necessity of the two operations. We evaluate our approach on two natural scenes attributes datasets, SUN Attributes [16] and CAMIT-NSAD [20], with architectures of GoogleNet and VGG-11, that are quite contrasting in their construction. We justify our choice of datasets, and show that they are interestingly distinct from each other, and together pose a challenge to our architectural refinement algorithm. Our results substantiate the usefulness of the proposed method.
Pregnancy following incontinence surgery

A two-page questionnaire was distributed to 304 members of the American Urogynecology Society. Ninety-nine of the 149 respondents reported that they had performed continence surgery on patients who specifically stated their desire for future childbearing. One hundred and eleven recommended the Burch colposuspension, 29 favored the sling procedure, and others advocated different procedures. Urologists as a subset more often recommended either a sling or needle suspension. Twenty-eight percent of respondents felt a trial of labor and vaginal delivery was indicated following incontinence surgery, but 40% stated that they would always perform cesarean section in these patients. A total of 40 vaginal deliveries and 47 cesarean sections were reported. When postpartum continence status was known, only 73% of women who had vaginal deliveries were continent, whereas 95% were continent following cesarean section. Fisher's exact test revealed this to be a statistically significant difference (P=0.0344).
Clinical coverage of an archetype repository over SNOMED-CT

Clinical archetypes provide a means for health professionals to design what should be communicated as part of an Electronic Health Record (EHR). An ever-growing number of archetype definitions follow this health information modelling approach, and this international archetype resource will eventually cover a large number of clinical concepts. On the other hand, clinical terminology systems that can be referenced by archetypes also have a wide coverage over many types of health-care information. No existing work measures the clinical content coverage of archetypes using terminology systems as a metric. Archetype authors require guidance to identify under-covered clinical areas that may need to be the focus of further modelling effort according to this paradigm. This paper develops a first map of SNOMED-CT concepts covered by archetypes in a repository by creating a so-called terminological Shadow. This is achieved by mapping appropriate SNOMED-CT concepts from all nodes that contain archetype terms, finding the top two category levels of the mapped concepts in the SNOMED-CT hierarchy, and calculating the coverage of each category. A quantitative study of the results compares the coverage of different categories to identify relatively under-covered as well as well-covered areas. The results show that the coverage of the well-known National Health Service (NHS) Connecting for Health (CfH) archetype repository on all categories of SNOMED-CT is not equally balanced. Categories worth investigating emerged at different points on the coverage spectrum, including well-covered categories such as Attributes, Qualifier value, under-covered categories such as Microorganism, Kingdom animalia, and categories that are not covered at all such as Cardiovascular drug (product).
HIV Risk Behavior Among HIV-Infected Men Who have Sex with Men in Bangkok, Thailand

We assessed prevalence of sexually transmitted infection (STIs), sexual risk behaviors, and factors associated with risk behaviors among HIV-infected MSM attending a public STI clinic serving MSM in Bangkok, Thailand. Between October 2005–October 2007, 154 HIV-infected MSM attending the clinic were interviewed about sexual risk behaviors and evaluated for STIs. Patients were examined for genital ulcers and had serologic testing for syphilis and PCR testing for chlamydia and gonorrhea. Results showed that sexual intercourse in the last 3 months was reported by 131 men. Of these, 32% reported anal sex without a condom. STIs were diagnosed in 41%. Factors associated with having sex without a condom were having a steady male partner, having a female partner and awareness of HIV status <1 month. Sexual risk behaviors and STIs were common among HIV-infected MSM in this study. This highlights the need for increased HIV prevention strategies for HIV-infected MSM.
A New Structure for Permanent-Magnet-Biased Axial Hybrid Magnetic Bearings

We propose a new structure for a permanent-magnet-biased axial hybrid magnetic bearing. Starting with the inner air gap and the outer air gap of conventional axial magnetic bearings, we first construct a novel air gap between the permanent magnet and the outer housing, which we call the second air gap, separating the bias flux paths from the control flux paths. As a result, the control flux paths will have lower reluctance, and the power loss of the axial magnetic bearing will be lower. Next, we modeled this axial hybrid magnetic bearing and analyzed it using the equivalent magnetic circuit method, 2-D finite element method (FEM), and 3-D FEM. We have designed and assembled an axial hybrid magnetic bearing prototype for a reaction flywheel system with angular momentum of 15 Nmiddotmmiddots at a speed of 5000 r/min. The theoretical analysis and the prototype experiments show such advantages as simple structure, good force current and force displacement, and high operating reliability.
Signs of deterioration in infants discharged home following congenital heart surgery in the first year of life: a qualitative study

AIMS
To describe the ways in which parents recognise and make decisions about their child's symptoms following discharge home after congenital heart interventions in the first year of life and their experiences of seeking help.


METHODS
This was a qualitative study involving semistructured interviews with parents. Twenty-one parents were recruited to the study. Parents all had a child who had congenital heart surgery in their first year of life between September 2009 and October 2013 at one of three UK cardiac centres; the children had either died or were readmitted as an emergency following initial discharge.


RESULTS
Some parents were unable to identify any early warning signs. Others described symptoms of deterioration including changes in feeding and appearance, respiratory distress and subtle behavioural changes that may not be routinely highlighted to parents at discharge. Several barriers to accessing prompt medical assistance were identified including parents feeling that their concerns were not taken seriously, long wait times and lack of protocols at A&E.


CONCLUSIONS
Our study highlights behavioural symptoms as being a potentially underemphasised sign of deterioration and identifies a number of barriers to parents accessing support when they are concerned. It is important that parents are encouraged to seek advice at the earliest opportunity and that those health professionals at the front line have access to the information they need in order to respond in an appropriate and timely way. A role for home monitoring was also noted as potentially useful in identifying at risk children who appear clinically well.
Third-Order Kalman Filter: Tuning and Steady-State Performance

This letter deals with the Kalman filter (KF) based on a third-order integrated random walk model (RW3). The resulting filter, noted as RW3-KF, is well suited to track slow time-varying parameters with strong trend behaviour. We first prove that the RW3-KF in steady-state admits an equivalent structure to the third-order digital phase-locked loops (DPLL). The approximate asymptotic mean-squared-error (MSE) is obtained by solving the Riccati equations, which is given in a closed-form expression as a function of the RW3 model parameter: the state noise variance. Then, the closed-form expression of the optimum state noise variance is derived to minimize the asymptotic MSE. Simulation results are given for the particular case where the parameter to be estimated is a Rayleigh channel coefficient with Jakes' Doppler spectrum.
Web-based screening and brief intervention for poly-drug use among teenagers: study protocol of a multicentre two-arm randomized controlled trial

UNLABELLED



BACKGROUND
Mid to late adolescence is characterised by a vulnerability to problematic substance use since the consumption of alcohol and illicit drugs is frequently initiated and increased in this life period. While the detrimental long- and short-term effects of problematic consumption patterns in adolescence pose a major public health concern, current prevention programs targeting alcohol- and other substance-using adolescents are scarce. The study described in this protocol will test the effectiveness of a web-based brief intervention aimed at reducing problematic alcohol use and promoting abstinence from illegal drugs in adolescents with risky substance use aged 16 to 18 years old in four EU-countries.


METHODS/DESIGN
To determine the effectiveness of our web-BI, we apply a two-arm randomized controlled trial (RCT) study design, with baseline assessment at study entry and a three month follow-up assessment. Adolescents aged 16 to 18 years from Belgium, the Czech Republic, Germany, and Sweden will be randomly assigned to either the fully electronically delivered brief intervention group (N = 400) or an assessment only control group (N = 400) depending on their screening for risky substance use (using the CRAFFT). Recruitment, informed consent, randomization, intervention and follow-up will be implemented online. Primary outcomes are reductions in frequency and quantity of use of alcohol and drugs other than alcohol over a 30 day period, as well as consumption per typical occasion. Secondary outcomes concern changes in substance use related cognitions including the constructs of the Theory of Planned Behaviour, implementation intentions, and stages of change. Moreover the study addresses a number of moderator variables, including age of first use, general psychopathology and quality of parent-child relationship.


DISCUSSION
The trial is expected to contribute to the growing literature on theory- and web-based brief interventions for adolescents. We will explore the potential of using web-based technologies as means of delivering preventive interventions. In doing so we are among the first to target the relevant group of young poly-drug users in Europe.


TRIAL REGISTRATION
Current Controlled Trials ISRCTN95538913.
Challenges and Directions for Low-Voltage SRAM

SRAMs capable of operating at extremely low supply voltages-for example, below the transistor threshold voltage-can enable ultra-low-power battery-operated systems by allowing the logic and memory to operate at the same optimal supply voltage. This review article presents SRAM techniques including new bit cells, novel sensing schemes, and read/write assist circuits for ultra-low-power applications.
Learning to map sentences to logical form

One of the classical goals of research in artificial intelligence is to construct systems that automatically recover the meaning of natural language text. Machine learning methods hold significant potential for addressing many of the challenges involved with these systems. This thesis presents new techniques for learning to map sentences to logical form — lambda-calculus representations of their meanings. We first describe an approach to the context-independent learning problem, where sentences are analyzed in isolation. We describe a learning algorithm that takes as input a training set of sentences labeled with expressions in the lambda calculus. The algorithm induces a Combinatory Categorial Grammar (CCG) for the problem, along with a log-linear model that represents a distribution over syntactic and semantic analyses conditioned on the input sentence. Next, we present an extension that addresses challenges that arise when learning to analyze spontaneous, unedited natural language input, as is commonly seen in natural language interface applications. A key idea is to introduce non-standard CCG combinators that relax certain parts of the grammar — for example allowing flexible word order, or insertion of lexical items — with learned costs. We also present a new, online algorithm for inducing a weighted CCG. Finally, we describe how to extend this learning approach to the context-dependent analysis setting, where the meaning of a sentence can depend on the context in which it appears. The training examples are sequences of sentences annotated with lambdacalculus meaning representations. We develop an algorithm that maintains explicit, lambda-calculus representations of discourse entities and uses a context-dependent analysis pipeline to recover logical forms. The method uses a hidden-variable variant of the perception algorithm to learn a linear model used to select the best analysis. Experiments demonstrate that the learning techniques we develop induce accurate models for semantic analysis while requiring less data annotate effort than previous approaches. Thesis Supervisor: Michael Collins Title: Associate Professor
Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing

Description: Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the cutting edge technological paradigms under the umbrella of computational intelligence. Computational intelligence schemes are investigated with the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy systems, evolutionaryfuzzy systems and evolutionary neural systems. Applications to linear and non-linear systems are discussed with examples. Key features: Covers all the aspects of fuzzy, neural and evolutionary approaches with worked out examples, MATLAB® exercises and applications in each chapter Presents the synergies of technologies of computational intelligence such as evolutionary fuzzy neural fuzzy and evolutionary neural systems Considers real world problems in the domain of systems modelling, control and optimization Contains a foreword written by Lotfi Zadeh Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing is an ideal text for final year undergraduate, postgraduate and research students in electrical, control, computer, industrial and manufacturing engineering.