LLukas22/scidocs huggingface dataset:
Moving Beyond Feature Design: Deep Architectures and Automatic Feature Learning in Music Informatics

The short history of content-based music informatics research is dominated by hand-crafted feature design, and our community has grown admittedly complacent with a few de facto standards. Despite commendable progress in many areas, it is increasingly apparent that our efforts are yielding diminishing returns. This deceleration is largely due to the tandem of heuristic feature design and shallow processing architectures. We systematically discard hopefully irrelevant information while simultaneously calling upon creativity, intuition, or sheer luck to craft useful representations, gradually evolving complex, carefully tuned systems to address specific tasks. While other disciplines have seen the benefits of deep learning, it has only recently started to be explored in our field. By reviewing deep architectures and feature learning, we hope to raise awareness in our community about alternative approaches to solving MIR challenges, new and old alike.
Cambricon: An Instruction Set Architecture for Neural Networks

Neural Networks (NN) are a family of models for a broad range of emerging machine learning and pattern recondition applications. NN techniques are conventionally executed on general-purpose processors (such as CPU and GPGPU), which are usually not energy-efficient since they invest excessive hardware resources to flexibly support various workloads. Consequently, application-specific hardware accelerators for neural networks have been proposed recently to improve the energy-efficiency. However, such accelerators were designed for a small set of NN techniques sharing similar computational patterns, and they adopt complex and informative instructions (control signals) directly corresponding to high-level functional blocks of an NN (such as layers), or even an NN as a whole. Although straightforward and easy-to-implement for a limited set of similar NN techniques, the lack of agility in the instruction set prevents such accelerator designs from supporting a variety of different NN techniques with sufficient flexibility and efficiency.
 In this paper, we propose a novel domain-specific Instruction Set Architecture (ISA) for NN accelerators, called Cambricon, which is a load-store architecture that integrates scalar, vector, matrix, logical, data transfer, and control instructions, based on a comprehensive analysis of existing NN techniques. Our evaluation over a total of ten representative yet distinct NN techniques have demonstrated that Cambricon exhibits strong descriptive capacity over a broad range of NN techniques, and provides higher code density than general-purpose ISAs such as ×86, MIPS, and GPGPU. Compared to the latest state-of-the-art NN accelerator design DaDianNao [5] (which can only accommodate 3 types of NN techniques), our Cambricon-based accelerator prototype implemented in TSMC 65nm technology incurs only negligible latency/power/area overheads, with a versatile coverage of 10 different NN benchmarks.
Opinion Mining and Sentiment Analysis - An Assessment of Peoples' Belief: A Survey

Opinion Mining is a process of automatic extraction of knowledge from the opinion of others about some particular topic or problem. The idea of Opinion mining and Sentiment Analysis tool is to “process a set of search results for a given item, generating a list of product attributes (quality, features etc.) and aggregating opinion”. But with the passage of time more interesting applications and developments came into existence in this area and now its main goal is to make computer able to recognize and generate emotions like human. This paper will try to focus on the basic definitions of Opinion Mining, analysis of linguistic resources required for Opinion Mining, few machine learning techniques on the basis of their usage and importance for the analysis, evaluation of Sentiment classifications and its various applications. KeywordsSentiment Mining, Opinion Mining, Text Classification.
Electrochemical investigation of nucleic acid behaviour: Part II. a.c. polarographic investigations of methylated DNA

Abstract The a.c. polarogram obtained in the case of chemically methylated Micrococcus lysodeikticus DNA is characterized by the appearance of a supplementary peak. Within the range of pH, studied this peak corresponds to a reduction in the adsorbed state without desorption of the reduced products. This peak is characteristic of the structural modifications of the DNA by methylation at the level of the guanine-cytosine base pairing.
Effects of a Plant-Based High-Carbohydrate/High-Fiber Diet Versus High–Monounsaturated Fat/Low-Carbohydrate Diet on Postprandial Lipids in Type 2 Diabetic Patients

OBJECTIVE
To search for a better dietary approach to treat postprandial lipid abnormalities and improve glucose control in type 2 diabetic patients.


RESEARCH DESIGN AND METHODS
According to a randomized crossover design, 18 type 2 diabetic patients (aged 59 +/- 5 years; BMI 27 +/- 3 kg/m(2)) (means +/- SD) in satisfactory blood glucose control on diet or diet plus metformin followed a diet relatively rich in carbohydrates (52% total energy), rich in fiber (28 g/1,000 kcal), and with a low glycemic index (58%) (high-carbohydrate/high-fiber diet) or a diet relatively low in carbohydrate (45%) and rich in monounsaturated fat (23%) (low-carbohydrate/high-monounsaturated fat diet) for 4 weeks. Thereafter, they shifted to the other diet for 4 more weeks. At the end of each period, plasma glucose, insulin, lipids, and lipoprotein fractions (separated by discontinuous density gradient ultracentrifugation) were determined on blood samples taken at fasting and over 6 h after a test meal having a similar composition as the corresponding diet.


RESULTS
In addition to a significant decrease in postprandial plasma glucose, insulin responses, and glycemic variability, the high-carbohydrate/high-fiber diet also significantly improved the primary end point, since it reduced the postprandial incremental areas under the curve (IAUCs) of triglyceride-rich lipoproteins, in particular, chylomicrons (cholesterol IAUC: 0.05 +/- 0.01 vs. 0.08 +/- 0.02 mmol/l per 6 h; triglycerides IAUC: 0.71 +/- 0.35 vs. 1.03 +/- 0.58 mmol/l per 6 h, P < 0.05).


CONCLUSIONS
A diet rich in carbohydrate and fiber, essentially based on legumes, vegetables, fruits, and whole cereals, may be particularly useful for treating diabetic patients because of its multiple effects on different cardiovascular risk factors, including postprandial lipids abnormalities.
INTEGRATION : An Overview of Traffic Simulation Features

The INTEGRATION model first attempted to provide a single model that could consider both freeways and arterials, and which also could consider both traffic assignment and simulation. This ability was intended to bridge the gap between the scope of network on which planning models could be applied and the level of resolution that operational tools needed to provide. Since this time, the model has also integrated traditional Intelligent Transportation Systems considerations such as ATMS and ATIS, the coupled modeling of traffic and vehicle emissions, and more recently the combined modeling of traffic and communications subsystems. However, all of these model extensions depend upon the validity of the same traffic simulation and assignment logic that is at the core of the the model. The objective of this paper is to describe the core traffic simulation logic and specific attributes related to the model’s ability to represent the operational aspects of freeways and signalized links. The main measures of performance that can be generated and the various approaches to performing traffic assignment are presented elsewhere.
Coalition Formation in Non-Democracies

We study the formation of a ruling coalition in non-democratic societies where institutions do not enable political commitments. Each individual is endowed with a level of political power. The ruling coalition consists of a subset of the individuals in the society and decides the distribution of resources. A ruling coalition needs to contain enough powerful members to win against any alternative coalition that may challenge it, and it needs to be self-enforcing, in the sense that none of its subcoalitions should be able to secede and become the new ruling coalition. We present both an axiomatic approach that captures these notions and determines a (generically) unique ruling coalition and the analysis of a dynamic game of coalition formation that encompasses these ideas. We establish that the subgame-perfect equilibria of the coalition formation game coincide with the set of ruling coalitions resulting from the axiomatic approach. A key insight of our analysis is that a coalition is made self-enforcing by the failure of its winning subcoalitions to be self-enforcing. This is most simply illustrated by the following example: with “majority rule”, two-person coalitions are generically not self-enforcing and consequently, three-person coalitions are self-enforcing (unless one player is disproportionately powerful). We also characterize the structure of ruling coalitions. For example, we determine the conditions under which ruling coalitions are robust to small changes in the distribution of power and when they are fragile. We also show that when the distribution of power across individuals is relatively equal and there is majoritarian voting, only certain sizes of coalitions (e.g. with majority rule, coalitions of size 1, 3, 7, 15, etc.) can be the ruling coalition.
SemEval-2016 Task 12: Clinical TempEval

Clinical TempEval 2016 evaluated temporal information extraction systems on the clinical domain. Nine sub-tasks were included, covering problems in time expression identification, event expression identification and temporal relation identification. Participant systems were trained and evaluated on a corpus of clinical and pathology notes from the Mayo Clinic, annotated with an extension of TimeML for the clinical domain. 14 teams submitted a total of 40 system runs, with the best systems achieving near-human performance on identifying events and times. On identifying temporal relations, there was a gap between the best systems and human performance, but the gap was less than half the gap of Clinical TempEval 2015.
Dual protection therapy with staged coronary artery bypass surgery and stenting in patients with left main coronary artery stenosis: long-term results from a single center.

OBJECTIVE
We evaluated the efficacy and safety of dual protection therapy with staged coronary artery bypass grafting (CABG) and bare-metal stenting (BMS) in patients with left main coronary artery (LMCA) disease.


BACKGROUND
CABG is currently the preferred therapy for complex LMCA disease; however, the long-term patency rates of these grafts are unsatisfactory, and stenting alone for LMCA may be associated with the potentially fatal consequences of stent thrombosis or restenosis.


METHODS
Between January 1997 and October 2005, 42 patients underwent staged bypass surgery and BMS, with the latter procedure performed 2 weeks after the initial CABG. Of these patients, 40 received left internal mammary artery (LIMA) grafts, 34 saphenous vein grafts, 6 radial artery grafts, and 3 right IMA (RIMA) grafts. Minimally invasive bypass surgery was performed in 10 patients.


RESULTS
There were no operative complications. Forty-two stents were implanted in 42 lesions without complications. During the follow-up period of 135 ± 55 months, 1 patient died of cancer, 2 of cardiac causes, and 5 patients (12%) experienced target lesion revascularization. The target vessel failure rate was 24%. Forty patients (95%) underwent a 6-month angiographic follow-up. Restenosis was noted in 7 patients (18%). Reocclusion was also noted in 5 LIMA grafts, 5 saphenous vein grafts, 1 radial artery graft, and 1 RIMA graft. Only 1 patient experienced both restenosis of LM stenting and total occlusion of the 2 bypass grafts.


CONCLUSIONS
Dual protection therapy with staged CABG and stenting is not an appropriate therapeutic strategy because of unacceptable graft patency rate. A higher occlusive rate of the bypass grafts may result from decreased blood flow because of competing blood flow between the bypass graft and the native coronary vessel.
The concept of airborne passive radar

This paper presents the concept of an airborne passive radar and the preliminary results of the experiments carried out using two mobile platforms: a car and an aircraft. In the research conducted for the study of this concept, a passive radar mounted to an aircraft was used. The radar utilizes signals transmitted by illuminators of opportunity, e.g. FM radio or DVB-T transmitters. In this way, it is possible for the aircraft to be equipped with a low cost, lightweight, low-power consuming and undetectable radar with a relatively long range. To verify the concept, two experiments with passive radar on a moving platform were carried out. In this paper the results of the experiments are presented, showing the potential of airborne passive radar.
Gait function in high-functioning autism and Asperger’s disorder

Gait abnormalities have been widely reported in individuals with autism and Asperger’s disorder. There is controversy as to whether the cerebellum or the basal-ganglia frontostriatal regions underpin these abnormalities. This is the first direct comparison of gait and upper-body postural features in autism and Asperger’s disorder. Clinical and control groups were matched according to age, height, weight, performance, and full scale IQ. Consistent with Hallet’s (1993) cerebellar–gait hypothesis, the autistic group showed significantly increased stride-length variability in their gait in comparison to control and Asperger’s disorder participants. No quantitative gait deficits were found for the Asperger’s disorder group. In support of Damasio and Maurer’s (1982) basal-ganglia frontostriatal–gait hypothesis, both clinical groups were rated as showing abnormal arm posturing, however, only the Asperger’s group were rated as significantly different from controls in terms of head and trunk posturing. While DSM-IV-TR suggests that Asperger’s disorder, but not autism, is associated with motoric clumsiness, our data suggest that both clinical groups are uncoordinated and lacking in motor smoothness. Gait differences in autism and Asperger’s disorder were suggested to reflect differential involvement of the cerebellum, with commonalities reflecting similar involvement of the basal-ganglia frontostriatal region.
Interindustry and Interregion Differentials: Mechanics and Interpretation

In their seminal study on interindustry wage differentials, Krueger and Summers (1988) expressed estimated industry differences as deviations from a hypothetical employment-share weighted mean. Virtually the whole labor literature has followed their approach, yet most studies avoid calculating the exact standard errors of these differences. This note relates this problem to the general literature on dummy variables and their interpretation. It is demonstrated that the implementation of exact estimates involves only simple matrix operations, making any approximative procedure difficult to justify. Disregarding this conclusion will in practice, even with large samples, lead to substantially overstated standard errors of the estimated differentials and to the understatement of their overall variability.
Data quality assessment in context: A cognitive perspective

a r t i c l e i n f o In organizations today, the risk of poor information quality is becoming increasingly high as larger and more complex information resources are being collected and managed. To mitigate this risk, decision makers assess the quality of the information provided by their IS systems in order to make effective decisions based on it. To do so, they may rely on quality metadata: objective quality measurements tagged by data managers onto the information used by decision makers. Decision makers may also gauge information quality on their own, subjectively and contextually assessing the usefulness of the information for solving the specific task at hand. Although information quality has been defined as fitness for use, models of information quality assessment have thus far tended to ignore the impact of contextual quality on information use and decision outcomes. Contextual assessments can be as important as objective quality indicators because they can affect which information gets used for decision making tasks. This research offers a theoretical model for understanding users' contextual information quality assessment processes. The model is grounded in dual-process theories of human cognition, which enable simultaneous evaluation of both objective and contextual information quality attributes. Findings of an exploratory laboratory experiment suggest that the theoretical model provides an avenue for understanding contextual aspects of information quality assessment in concert with objective ones. The model offers guidance for the design of information environments that can improve performance by integrating both objective and subjective aspect of users' quality assessments. Organizational data is a critical resource that supports business processes and managerial decision making. Advances in information technology have enabled organizations to collect and store more data than ever before. This data is processed in a variety of different and complex ways to generate information that serves as input to organizational decision tasks. As data volumes increase, so does the complexity of managing it and the risks of poor data quality. Poor quality data can be detrimental to system usability and hinder operational performance, leading to flawed decisions [27]. It can also damage organizational reputation, heighten risk exposure, and cause significant capital losses [28]. While international figures are difficult to determine, data quality problems currently cost U.S. businesses over $600 billion annually [1]. Data quality is hence an important area of concern to both practitioners and researchers. Data quality researchers have used the terms " data quality …
Eosinophilic Gastritis in Children: Clinicopathological Correlation, Disease Course, and Response to Therapy

OBJECTIVES:Eosinophilic gastritis (EG), defined by histological criteria as marked eosinophilia in the stomach, is rare, and large studies in children are lacking. We sought to describe the clinical, endoscopic, and histopathological features of EG, assess for any concurrent eosinophilia at other sites of the gastrointestinal (GI) tract, and evaluate response to dietary and pharmacological therapies.METHODS:Pathology files at our medical center were searched for histological eosinophilic gastritis (HEG) with ≥70 gastric eosinophils per high-power field in children from 2005 to 2011. Pathology slides were evaluated for concurrent eosinophilia in the esophagus, duodenum, and colon. Medical records were reviewed for demographic characteristics, symptoms, endoscopic findings, comorbidities, and response to therapy.RESULTS:Thirty children with severe gastric eosinophilia were identified, median age 7.5 years, 14 of whom had both eosinophilia limited to the stomach and clinical symptoms, fulfilling the clinicopathological definition of EG. Symptoms and endoscopic features were highly variable. History of atopy and food allergies was common. A total of 22% had protein-losing enteropathy (PLE). Gastric eosinophilia was limited to the fundus in two patients. Many patients had associated eosinophilic esophagitis (EoE, 43%) and 21% had eosinophilic enteritis. Response to dietary restriction therapy was high (82% clinical response and 78% histological response). Six out of sixteen patients had persistent EoE despite resolution of their gastric eosinophilia; two children with persistent HEG post therapy developed de novo concurrent EoE.CONCLUSIONS:HEG in children can be present in the antrum and/or fundus. Symptoms and endoscopic findings vary, highlighting the importance of biopsies for diagnosis. HEG is associated with PLE, and with eosinophilia elsewhere in the GI tract including the esophagus. The disease is highly responsive to dietary restriction therapies in children, implicating an allergic etiology. Associated EoE is more resistant to therapy.
Is DAS28 an appropriate tool to assess remission in rheumatoid arthritis?

OBJECTIVES
To study which cut off point of DAS28 corresponds to fulfilment of the American Rheumatism Association (ARA) preliminary remission criteria, and clinical remission criteria in patients with rheumatoid arthritis (RA).


METHODS
All adult patients diagnosed with RA at Jyväskylä Central Hospital 1997-98 were assessed for remission at 5 years. Remission was defined as (a) ARA remission; (b) clinical remission (defined as no tender or swollen joints and normal erythrocyte sedimentation rate). DAS28 was used to measure disease activity. A receiver operating characteristics curve analysis was performed to calculate a cut off point of DAS28 that best corresponds to the ARA remission criteria and the clinical remission criteria.


RESULTS
161 patients (mean age 57 years, 107 (66%) female, 98 (61%) with positive rheumatoid factor, and 51 (32%) with erosions) were studied. At 5 years, 19 (12%) patients met the ARA remission criteria, and 55 (34%) met the clinical remission criteria. The cut off value of DAS28 was 2.32 for the ARA remission criteria, and 2.68 for the clinical remission criteria. In patients with DAS28 <2.32, 11/57 (19%) had tender joints, 6/57 (11%) had swollen joints, and 4/57 (7%) had both tender and swollen joints (66 joint count).


CONCLUSION
In this study the DAS28 cut off point for the ARA remission was lower than in previous studies. The cut off point for DAS28 remission remains controversial. A substantial proportion of patients below the DAS28 cut off point for remission have tender or swollen joints, or both. DAS28 may not be an appropriate tool for assessment of remission in RA.
The Seroprevalence of Hepatitis C Antibodies in Immigrants and Refugees from Intermediate and High Endemic Countries: A Systematic Review and Meta-Analysis

BACKGROUND & AIMS
Hepatitis C virus (HCV) infection is a significant global health issue that leads to 350,000 preventable deaths annually due to associated cirrhosis and hepatocellular carcinoma (HCC). Immigrants and refugees (migrants) originating from intermediate/high HCV endemic countries are likely at increased risk for HCV infection due to HCV exposure in their countries of origin. The aim of this study was to estimate the HCV seroprevalence of the migrant population living in low HCV prevalence countries.


METHODS
Four electronic databases were searched from database inception until June 17, 2014 for studies reporting the prevalence of HCV antibodies among migrants. Seroprevalence estimates were pooled with a random-effect model and were stratified by age group, region of origin and migration status and a meta-regression was modeled to explore heterogeneity.


RESULTS
Data from 50 studies representing 38,635 migrants from all world regions were included. The overall anti-HCV prevalence (representing previous and current infections) was 1.9% (95% CI, 1.4-2.7%, I2 96.1). Older age and region of origin, particularly Sub-Saharan Africa, Asia, and Eastern Europe were the strongest predictors of HCV seroprevalence. The estimated HCV seroprevalence of migrants from these regions was >2% and is higher than that reported for most host populations.


CONCLUSION
Adult migrants originating from Asia, Sub-Saharan Africa and Eastern Europe are at increased risk for HCV and may benefit from targeted HCV screening.