LLukas22/scidocs huggingface dataset:
Repeated influenza vaccination for preventing severe and fatal influenza infection in older adults: a multicentre case-control study.

BACKGROUND
The effectiveness of repeated vaccination for influenza to prevent severe cases remains unclear. We evaluated the effectiveness of influenza vaccination on preventing admissions to hospital for influenza and reducing disease severity.


METHODS
We conducted a case-control study in 20 hospitals in Spain during the 2013/14 and 2014/15 influenza seasons. Community-dwelling adults aged 65 years or older who were admitted to hospital for laboratory-confirmed influenza were matched with inpatient controls by sex, age, hospital and admission date. The effectiveness of vaccination in the current and 3 previous seasons in preventing influenza was estimated for inpatients with nonsevere influenza and for those with severe influenza who were admitted to intensive care units (ICUs) or who died.


RESULTS
We enrolled 130 inpatients with severe and 598 with nonsevere influenza who were matched to 333 and 1493 controls, respectively. Compared with patients who were unvaccinated in the current and 3 previous seasons, adjusted effectiveness of influenza vaccination in the current and any previous season was 31% (95% confidence interval [CI] 13%-46%) in preventing admission to hospital for nonsevere influenza, 74% (95% CI 42%-88%) in preventing admissions to ICU and 70% (95% CI 34%-87%) in preventing death. Vaccination in the current season only had no significant effect on cases of severe influenza. Among inpatients with influenza, vaccination in the current and any previous season reduced the risk of severe outcomes (adjusted odds ratio 0.45, 95% CI 0.26-0.76).


INTERPRETATION
Among older adults, repeated vaccination for influenza was twice as effective in preventing severe influenza compared with nonsevere influenza in patients who were admitted to hospital, which is attributable to the combination of the number of admissions to hospital for influenza that were prevented and reduced disease severity. These results reinforce recommendations for annual vaccination for influenza in older adults.
Development of the self-concept during adolescence

Adolescence is a period of life in which the sense of 'self' changes profoundly. Here, we review recent behavioural and neuroimaging studies on adolescent development of the self-concept. These studies have shown that adolescence is an important developmental period for the self and its supporting neural structures. Recent neuroimaging research has demonstrated that activity in brain regions associated with self-processing, including the medial prefrontal cortex, changes between early adolescence and adulthood. These studies indicate that neurocognitive development might contribute to behavioural phenomena characteristic of adolescence, such as heightened self-consciousness and susceptibility to peer influence. We attempt to integrate this recent neurocognitive research on adolescence with findings from developmental and social psychology.
Implementation of the Barcelona Basic Model into TOUGH-FLAC for simulations of the geomechanical behavior of unsaturated soils

This paper presents the implementation of the Barcelona Basic Model (BBM) into the TOUGH–FLAC simulator analyzing the geomechanical behavior of unsaturated soils. We implemented the BBM into TOUGH–FLAC by (1) extending an existing FLAC module for the Modified Cam-Clay (MCC) model in FLAC and (2) adding computational routines for suction-dependent strain and net stress (i.e., total stress minus gas pressure) for unsaturated soils. We implemented a thermo-elasto-plastic version of the BBM, wherein the soil strength depends on both suction and temperature. The implementation of the BBM into TOUGH–FLAC was verified and tested against several published numerical model simulations and laboratory experiments involving the coupled thermal–hydrological–mechanical (THM) behavior of unsaturated soils. The simulation tests included modeling the mechanical behavior of bentonite-sand mixtures, which are being considered as back-fill and buffer materials for geological disposal of spent nuclear fuel. We also tested and demonstrated the use of the BBM and TOUGH–FLAC for a problem involving the coupled THM processes within a bentonite-backfilled nuclear waste emplacement tunnel. The simulation results indicated complex geomechanical behavior of the bentonite backfill, including a nonuniform distribution of buffer porosity and density that could not be captured in an alternative, simplified, linear-elastic swelling model. As a result of the work presented in this paper, TOUGH–FLAC with BBM is now fully operational and ready to be applied to problems associated with nuclear waste disposal in bentonite-backfilled tunnels, as well as other scientific and engineering problems related to the mechanical behavior of unsaturated soils. & 2010 Elsevier Ltd. All rights reserved.
Geology and petroleum potential of Riphean reservoirs in the southwestern Siberian craton

Abstract We report CMP reflection profiling data acquired by Eniseigeofizika OJSC in the southwestern Siberian craton. The collected reference and regional profiles of a total length of ~5000 km, run in W–E and N–S directions and traverse all major structural units of the craton. The data were processed to obtain important evidence of the sediment structure as a basis for further exploration. The synthesis of the results allowed mapping the Riphean surface, with sedimentary sequences and basement highs. The thicknesses and deformation patterns of rocks were used to distinguish ten zones which differ in their structure and composition, as well as in the position with respect to major units of the overlying Vendian–Paleozoic sequence. The distinguished zones have been ranked in terms of exploration and licensing priority.
Performance optimization of Hadoop cluster using linux services

Hadoop is an open source tool. It enables the processing and distributed storage of big data sets using commodity cluster computing. With Hadoop occupying a core status in the current processing era, its performance optimization is also being heavily studied. This paper introduces one such method to improve Hadoop cluster performance by using a Remote Procedure Call (RPC), rpcbind service of the Linux system. The comparison is done by executing multiple Hadoop benchmarks on a configured multi-node Hadoop cluster. The final outcome turns in rpcbind favor depicting how the service improves the cluster performance by reducing the elapsed time of the benchmark executed.
Beneficial Effects of Testosterone Therapy on Functional Capacity, Cardiovascular Parameters, and Quality of Life in Patients with Congestive Heart Failure

BACKGROUND
According to the present evidences suggesting association between low testosterone level and prediction of reduced exercise capacity as well as poor clinical outcome in patients with heart failure, we sought to determine if testosterone therapy improves clinical and cardiovascular conditions as well as quality of life status in patients with stable chronic heart failure.


METHODS
A total of 50 male patients who suffered from congestive heart failure were recruited in a double-blind, placebo-controlled trial and randomized to receive an intramuscular (gluteal) long-acting androgen injection (1 mL of testosterone enanthate 250 mg/mL) once every four weeks for 12 weeks or receive intramuscular injections of saline (1 mL of 0.9% wt/vol NaCl) with the same protocol.


RESULTS
The changes in body weight, hemodynamic parameters, and left ventricular dimensional echocardiographic indices were all comparable between the two groups. Regarding changes in diastolic functional state and using Tei index, this parameter was significantly improved. Unlike the group received placebo, those who received testosterone had a significant increasing trend in 6-walk mean distance (6MWD) parameter within the study period (P = 0.019). The discrepancy in the trends of changes in 6MWD between study groups remained significant after adjusting baseline variables (mean square = 243.262, F index = 4.402, and P = 0.045).


CONCLUSION
Our study strengthens insights into the beneficial role of testosterone in improvement of functional capacity and quality of life in heart failure patients.
Learning through Work: Exploring Instances of Relational Interdependencies.

This paper provides an account of the inter-psychological processes that constitute learning through work. It does this by drawing on deliberations about the relative contributions of the immediate social world (i.e., workplace setting) that individuals encounter and the personal premises for individuals’ learning. This account is realised through analyses of workers’ experiences of working and learning in both large and small enterprises. Together, these premises and their contributions are used to elaborate how learning through work proceeds as a process of relational interdependence between the affordance of the workplace and the engagement of workers. This relational process is evident in work of different kinds, from the labours of coalminers through to the entrepreneurial activities of small business operators. Instances of learning through work are elaborated through studies that identify how workplaces’ affordances—those that invite workers in particular ways to participate, access support and reward—are generated and projected. These contributions to engaging in and learning through work can be conceptualised as the immediate social contribution or experience that is shaped by cultural and situational factors and the social legacies that shape how individuals construe, engage in, and learn through those practices. It concludes by discussing issues related to both the inter-psychological process and outcomes (e.g., inter-subjectivity) arising from learning through work. 1. Learning through work An account of the inter-psychological processes—those between the individuals and the social world—that constitute the process of learning through work is advanced here. This account draws upon a discussion of conceptual premises that inform and illuminate this process of learning, as well as studies of workers’ experiences in large and small enterprises. Its purpose is to propose how learning through work can be understood as a process of relational interdependence between the affordance of the workplace, on the one hand, and the engagement of workers, on the other
A Survey of Decisional Requirements : Imprecision study

The success and the failure of a data warehouse (DW) project are mainly related to the design phase according to most researchers in this domain. When analyzing the decision-making system requirements, many recurring problems appear and requirements modeling difficulties are detected. Also, we encounter the problem associated with the requirements expression by non-IT professionals and non-experts makers on design models. The ambiguity of the term of decision-making requirements leads to a misinterpretation of the requirements resulting from data warehouse design failure and incorrect OLAP analysis. Therefore, many studies have focused on the inclusion of vague data in information systems in general, but few studies have examined this case in data warehouses. This article describes one of the shortcomings of current approaches to data warehouse design which is the study of in the requirements inaccuracy expression and how ontologies can help us to overcome it. We present a survey on this topic showing that few works that take into account the imprecision in the study of this crucial phase in the decision-making process for the presentation of challenges and problems that arise and requires more attention by researchers to improve DW design. According to our knowledge, no rigorous study of vagueness in this area were made. Keywords— Data warehouses Design, requirements analysis, imprecision, ontology
Radiation-induced cancer risk from annual computed tomography for patients with cystic fibrosis.

RATIONALE
Computed tomography (CT) is being considered as a tool for routine monitoring of lung damage in people with cystic fibrosis. Concern has been raised, however, about the associated risk of radiation-induced cancer.


OBJECTIVES
To estimate the risk of radiation-induced cancer from lung CT for patients with cystic fibrosis, assuming annual monitoring starting at age 2 years.


METHODS
Radiation risk models (derived primarily from the study of Japanese atomic bomb survivors) were used to estimate the excess risk of radiation-induced cancer for the organs that receive measurable doses from lung CT. Two scenarios were considered: median survival to age 36 years (approximate current median survival) and median survival to age 50 years (projected median survival by 2030).


MEASUREMENTS AND MAIN RESULTS
The estimated risk of radiation-induced cancer from annual lung CT was 0.02% for males and 0.07% for females assuming median survival to age 36 years. The estimated risks increased to 0.08% for males and 0.46% for females assuming median survival increases to age 50 years. The risks are higher for females because of the risk of radiation-induced breast cancer (50% of total risk) and higher risk of thyroid cancer.


CONCLUSIONS
The cumulative risk of radiation-induced cancer from repeated lung CT scans for patients with cystic fibrosis is relatively small (less than 0.5%). However, routine monitoring should not be recommended until there is a demonstrated benefit that will outweigh these risks.
Effects of ultrasonic assisted processing and clay nanofiller on dielectric properties and lithium ion transport mechanism of poly(methyl methacrylate) based plasticized polymer electrolytes

Lithium ion conducting solid polymer electrolyte (SPE) films consisted of poly(methyl methacrylate) (PMMA) matrix with lithium perchlorate as a dopant ionic salt, poly(ethylene glycol) as plasticizer and montmorillonite clay as inorganic nanofiller have been prepared by classical solution casting and high intensity ultrasonic assisted solution casting methods. The X-ray diffraction study confirmed the amorphous structure of all these PMMA-based solid electrolytes and the clay nanosheets existed in exfoliated form in their amorphous phase. Dielectric relaxation spectroscopy had been employed for the investigation of complex dielectric function, ac electrical conductivity, electric modulus, and impedance spectra of these electrolytes over the frequency range from 20 Hz to 1 MHz. It was observed that the dielectric properties and ionic conductivity of the electrolytes strongly depended on the sample preparation methods, and also had changes with addition of the clay nanofiller. Temperature-dependent dielectric study of the electrolyte films confirmed that their dc ionic conductivity and conductivity relaxation time values obeyed the Arrhenius behavior. This study also revealed that the lithium ion transportation in the ion–dipolar complexes of these electrolytes occurred through hopping mechanism and it was correlated with the conductivity relaxation time. Preparation of these electrolyte films through ultrasonic assisted solution casting method increased the ionic conductivity by more than one order of magnitude in comparison to that of the classical solution casting method, which revealed that the former was a novel method for the preparation of these SPEs of relatively enhanced ionic conductivity. © 2015 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2015, 132, 42188.
Diabetes mellitus: prevalence and effect of morbidities in the oldest old. The Octabaix study.

OBJECTIVES
To describe the prevalence of diabetes mellitus (DM) in community-dwelling 85-year-olds and to study the factors associated.


DESIGN
Cross-sectional.


SETTING
Community-based survey study of seven primary healthcare centers.


PARTICIPANTS
Three hundred twenty-eight people born in 1924 and registered with primary healthcare centers.


MEASUREMENTS
Information on sociodemographic variables, Barthel Index (BI), Spanish version of the Mini-Mental State Examination (MEC), Mini Nutritional Assessment (MNA), Braden scale for risk of pressure ulcers, Charlson Comorbidity Index, chronic diseases, social risk, quality of life, chronic drug prescriptions, and blood tests was recorded. Participants were defined as having DM according to self-report, physician diagnosis, antidiabetic prescriptions, or plasma glucose concentration 7 mmol/L or more. A comparative analysis was performed between participants with and without DM.


RESULTS
The prevalence of DM in 328 octogenarians studied was 25.9%. Logistic regression showed an association between DM and BI (odds ratio (OR) = 1.03, 95% confidence interval (CI) = 1.00-1.05, P = .007), Braden risk score (OR = 0.87, 95% CI = 0.79-0.97, P = .01), thyroid disease (OR = 0.23, 95% CI = 0.06-0.92, P = .04), chronic drug prescriptions (OR = 1.28, 95% CI = 1.15-1.42, P < .001), white-cell count (OR = 1.34, 95% CI = 1.15-1.56, P < .001), low-density lipoprotein cholesterol (LDL-C; OR = 0.63, 95% CI = 0.43-0.92, P = .02) and folic acid level (OR = 1.04, 95% CI = 1.01-1.07, P = .005).


CONCLUSION
There is a high prevalence of DM at 85 years old. The presence of DM was positively associated with disability, drug prescription, white blood cell count, and folic acid level, whereas there was an inverse relationship between DM and Braden scale score, thyroid disease, and LDL-C. The effect of morbidities on DM may require a multidisciplinary approach to manage its complexity.
Detecting Comments on News Articles in Microblogs

A reader of a news article would often be interested in the comments of other readers on anarticle, because comments give insight into popular opinions or feelings toward a given piece of news. In recent years, social media platforms, such as Twitter, have become a social hub for users to communicate and express their thoughts. This includes sharing news articles and commenting on them. In this paper, we propose an approach for identifying “commenttweets” that comment on news articles. We discuss the nature of comment-tweets and compare them to subjective tweets. We utilize a machine learning-based classification approach for distinguishing between comment-tweets and others that only report the news. Our approach is evaluated on the TREC-2011 Microblog track data after applying additional annotations to tweets containing comments. Results show the effectiveness of our classification approach. Furthermore, we demonstrate the effectiveness of our approach on live news articles.
Riemannian Optimization for Skip-Gram Negative Sampling

Step 2. Search for a good low-rank representation X = WC> in terms of linguistic metrics, where W is a matrix of word embeddings and C is a matrix of context embeddings. 5. RESULTS • Three different methods: RO-SGNS [1], SVD-SPPMI [2] and SGD-SGNS (original “word2vec”). • Three popular benchmarks for semantic similarity evaluation (“wordsim-353”, “simlex”, “men”) • Each dataset contains word pairs together with assessor-assigned similarity scores for each pair • Original “wordsim-353” is a mixture of the word pairs for both word similarity and word relatedness tasks which we also use in our experiments (“ws-sim” and “ws-rel”)
Data quality for the information age

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Making claims you can sustain: the importance of historical argument

The article reviews the book "Historical Discourse: The Language of Time, Cause, and Evaluation," by Caroline Coffin and "Historical Knowledge, Historical Error: A Contemporary Guide to Practice," by Allan Megill.
Data Markets in the Cloud: An Opportunity for the Database Community

Cloud-computing is transforming many aspects of data management. Most recently, the cloud is seeing the emergence of digital markets for data and associated services. We observe that our community has a lot to offer in building successful cloud-based data markets. We outline some of the key challenges that such markets face and discuss the associated research problems that our community can help solve.
Power Control of Series-Parallel Resonant Inverter For Induction Heating Using Buck Converter

Dr. Turki K. Hassan* & Enaam A. Ali* Received on: 17/5/2009 Accepted on: 16/2/2010 Abstract The purpose of this work is to study, analyze, and design a half-bridge seriesparallel resonant inverter for induction heating applications. A pulse width modulation (PWM)-based double integral sliding mode voltage controlled buck converter is proposed for control the induction heating power. This type of controller is used in order to obtain very small steady state error, stable and fast dynamic response, and robustness against variations in the line voltage and converter parameters. A small induction heating coil is designed and constructed. A carbon steel (C45) cylindrical billet is used as a load. The induction heating load parameters (RL and LL) are measured at the resonant frequency of 85 kHz. The parameters of the resonant circuit are chosen for operation at resonant. The inverter is operated at unity power factor by phased locked loop (PLL) control irrespective of load variations, with maximum current gain, and practically no voltage spikes in the switching devices at turn-off, therefore no snubber circuit is used for operation at unity power factor. A power MOSFET transistor is used as a switching device for buck converter and the IGBT transistor is used as a switching device for the inverter. A complete designed system is simulated using Matlab/Simulink. All the electronic control circuits are designed and implemented. The practical results are compared with simulation results to verify the proposed induction heating system. A close agreement between simulation and practical results is noticed and a good performance is achieved.
On well-quasi-ordering infinite trees-Nash-Williams's theorem revisited

Nash-Williams proved that the infinite trees are well-quasi-ordered (indeed, better-quasi-ordered) under the topological minor relation. We combine ideas of several authors into a more accessible and essentially selfcontained short proof.
Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space

Generating high-resolution, photo-realistic images has been a long-standing goal in machine learning. Recently, Nguyen et al. [37] showed one interesting way to synthesize novel images by performing gradient ascent in the latent space of a generator network to maximize the activations of one or multiple neurons in a separate classifier network. In this paper we extend this method by introducing an additional prior on the latent code, improving both sample quality and sample diversity, leading to a state-of-the-art generative model that produces high quality images at higher resolutions (227 &#xd7; 227) than previous generative models, and does so for all 1000 ImageNet categories. In addition, we provide a unified probabilistic interpretation of related activation maximization methods and call the general class of models Plug and Play Generative Networks. PPGNs are composed of 1) a generator network G that is capable of drawing a wide range of image types and 2) a replaceable condition network C that tells the generator what to draw. We demonstrate the generation of images conditioned on a class (when C is an ImageNet or MIT Places classification network) and also conditioned on a caption (when C is an image captioning network). Our method also improves the state of the art of Multifaceted Feature Visualization [40], which generates the set of synthetic inputs that activate a neuron in order to better understand how deep neural networks operate. Finally, we show that our model performs reasonably well at the task of image inpainting. While image models are used in this paper, the approach is modality-agnostic and can be applied to many types of data.