LLukas22/scidocs huggingface dataset:
HydroDesktop: Web services-based software for hydrologic data discovery, download, visualization, and analysis

Discovering and accessing hydrologic and climate data for use in research or water management can be a difficult task that consumes valuable time and personnel resources. Until recently, this task required discovering and navigating many different data repositories, each having its ownwebsite, query interface, data formats, and descriptive language. New advances in cyberinfrastructure and in semantic mediation technologies have provided the means for creating better tools supporting data discovery and access. In this paper we describe a freely available and open source software tool, called HydroDesktop, that can be used for discovering, downloading, managing, visualizing, and analyzing hydrologic data. HydroDesktop was created as a means for searching across and accessing hydrologic data services that have been published using the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) Hydrologic Information System (HIS). We describe the design and architecture of HydroDesktop, its novel contributions in web services-based hydrologic data search and discovery, and its unique extensibility interface that enables developers to create custom data analysis and visualization plug-ins. The functionality of HydroDesktop and some of its existing plug-ins are introduced in the context of a case study for discovering, downloading, and visualizing data within the Bear River Watershed in Idaho, USA. 2012 Elsevier Ltd. All rights reserved. Software availability All CUAHSI HydroDesktop software and documentation can be accessed at http://his.cuahsi.org. Source code and additional documentation for HydroDesktop can be accessed at the HydroDesktop code repository website http://hydrodesktop.codeplex. com. HydroDesktop and its source code are released under the New Berkeley Software Distribution (BSD) License which allows for liberal reuse of the software and code.
Circulating Plasma MiR-141 Is a Novel Biomarker for Metastatic Colon
                    Cancer and Predicts Poor Prognosis

BACKGROUND
Colorectal cancer (CRC) remains one of the major cancer types and cancer related death worldwide. Sensitive, non-invasive biomarkers that can facilitate disease detection, staging and prediction of therapeutic outcome are highly desirable to improve survival rate and help to determine optimized treatment for CRC. The small non-coding RNAs, microRNAs (miRNAs), have recently been identified as critical regulators for various diseases including cancer and may represent a novel class of cancer biomarkers. The purpose of this study was to identify and validate circulating microRNAs in human plasma for use as such biomarkers in colon cancer.


METHODOLOGY/PRINCIPAL FINDINGS
By using quantitative reverse transcription-polymerase chain reaction, we found that circulating miR-141 was significantly associated with stage IV colon cancer in a cohort of 102 plasma samples. Receiver operating characteristic (ROC) analysis was used to evaluate the sensitivity and specificity of candidate plasma microRNA markers. We observed that combination of miR-141 and carcinoembryonic antigen (CEA), a widely used marker for CRC, further improved the accuracy of detection. These findings were validated in an independent cohort of 156 plasma samples collected at Tianjin, China. Furthermore, our analysis showed that high levels of plasma miR-141 predicted poor survival in both cohorts and that miR-141 was an independent prognostic factor for advanced colon cancer.


CONCLUSIONS/SIGNIFICANCE
We propose that plasma miR-141 may represent a novel biomarker that complements CEA in detecting colon cancer with distant metastasis and that high levels of miR-141 in plasma were associated with poor prognosis.
Application of the steep ramp test for aerobic fitness testing in children with cancer.

BACKGROUND
Children with and after cancer are found to have a decreased physical fitness, frequently resulting in decreased physical functioning. The gold standard test for assessing aerobic fitness, a component of physical fitness, is the respiratory gas analyses-based cardiopulmonary exercise test (CPET). However, equipment for gas analysis is often unavailable in local physical therapy centres and non-university hospitals. The steep ramp test (SRT), is a cycle ergometer test with a fast increase in workload, a short duration, and does not require respiratory gas analysis equipment.


AIM
The aim of this study was to compare the results of the CPET and the SRT, in children with cancer, and to assess whether the SRT can be used for aerobic fitness assessment in clinical practice in this population.


DESIGN
This study is a cross-sectional assessment using baseline data of a randomized controlled trial.


SETTING
The study was performed in a hospital setting.


POPULATION
Sixty-one children (mean age 12.9 years; 33 boys) with cancer were included in the analysis; 16 children were on non-intensive chemotherapy treatment, 45 were in the first year thereafter.


METHODS
Participants performed both the SRT and the CPET on a cycle ergometer with respiratory gas analysis. Data of the two tests were compared and regression analyses were performed.


RESULTS
CPET test results revealed a higher impact on the cardiovascular system, as shown by higher peak ventilation (47.8 versus 52.0 Litres per min) and peak heart rates (173 versus 191 beats per min), compared to the SRT. In addition, the test time was significantly longer (90 s versus 390 s). Yet, the primary outcome of the SRT (peak work rate) was able to reliably estimate the peak oxygen uptake of the CPET.


CONCLUSION
The peak oxygen uptake was comparable between the SRT and the CPET, although the peak work rate was significantly higher during the SRT. This study showed that the SRT is a valid instrument to assess aerobic fitness in children with cancer.


CLINICAL REHABILITATION IMPACT
The SRT is less time consuming and can be performed without gas analysis in a non-clinical setting, making it less demanding for children.
The handbook of child and adolescent psychotherapy. Psychoanalytic approaches

Horne, Lanyado, Introduction. Part I: Theoretical Foundations. Likierman, Urban, The Roots of Child and Adolescent Psychotherapy in Psychoanalysis. Horne, Normal Emotional Development. Hopkins, Phillips, Contributions from Attachment Theory and Research. Music, The Contribution from Neuroscience. Midgley, Research in Child and Adolescent Psychotherapy: An Overview. Part II: Context. Crockatt, The Child Psychotherapist in the Multi-disciplinary Team. Gibbs, Race and Cultural Issues. Tischler, The International Scene. Part III: Diversity of Treatments and Settings. Lanyado, Horne, The Therapeutic Setting and Process. Green, Individual Psychotherapy: Assessment, Intensive and Non-intensive Work. Lanyado, Brief Psychotherapy and Therapeutic Consultations. How Much Therapy is 'Good-Enough'? Rustin, Work with Parents. Onions, Parent-Infant Psychotherapy. Woods, Argent, Group Psychotherapy. McLoughlin, Working within Schools and Educational Settings. Flynn, The Challenges of In-patient Work in a Therapeutic Community. Wilson, Consultation within Residential Care. Part IV: Areas of Specialist Interest. Rhode, Child Psychotherapy for Children on the Autistic Spectrum. Lanyado, Psychotherapy with Severely Traumatised Children and Adolescents: 'Far Beyond Words'. Hunter-Smallbone, Psychotherapy for Children Looked After by Local Authorities. Ironside, Working with Foster Carers. Horne, Sexual Abuse and Sexual Abusing in Childhood and Adolescence. Parsons, The Roots of Violence: Theory and Implications for Technique with Children and Adolescents. Melzak, Work with Children and Adolescents Exposed to Political Violence. Wilson, Delinquency. Mondadori, Working with People with Eating Disorders: 'What If I Die Without Knowing Why?' Gaffney, Reyes, Gender Identity Dysphoria.
A prospective comparison of octyl cyanoacrylate tissue adhesive (dermabond) and suture for the closure of excisional wounds in children and adolescents.

BACKGROUND
Recent studies suggest that the use of octyl cyanoacrylate tissue adhesive for closure of both traumatic lacerations and incisional surgical wounds results in a cosmetic outcome comparable to that achieved with conventional sutures. To date, no studies have looked at the use of tissue adhesive for higher-tension wounds, such as those created during cutaneous excisional procedures.


OBJECTIVE
To compare the tissue adhesive octyl cyanoacrylate with standard suture for the closure of excisional wounds in children and adolescents.


DESIGN
A prospective comparison with blinded assessment of cosmetic outcome. Twenty-eight wounds were closed with monofilament suture and 24 were closed with tissue adhesive. At approximately 2 months, photographs of the incisions were evaluated by 2 dermatologists blinded to the method of skin closure.


SUBJECTS
Forty-two consecutive patients undergoing excisional dermatologic procedures at Children's Hospital, San Diego, Calif. These 42 patients had a total of 52 wounds that were evaluated.


MAIN OUTCOME MEASURES
The cosmetic appearance of the wounds at 2 months, based on 2 validated wound scales: the Hollander Wound Evaluation Scale and a visual analog scale.


RESULTS
There were no differences in early complications between the groups. The suture group scored higher on the visual analog scale (63.3 mm for suture vs 47.8 mm for tissue adhesive), and this difference was statistically significant (P =.02). The suture group also had a higher median score on the Hollander Wound Evaluation Scale, but this difference was not statistically significant (P =.09).


CONCLUSION
The cosmetic outcome of cutaneous excisional surgery wounds closed with standard suturing was found to be superior to that of wounds closed with octyl cyanoacrylate.
First-Order Logic Foundation of Relativity Theories

Motivation and perspective for an exciting new research direction interconnecting logic, spacetime theory, relativity—including such revolutionary areas as black hole physics, relativistic computers, new cosmology—are presented in this paper. We would like to invite the logician reader to take part in this grand enterprise of the new century. Besides general perspective and motivation, we present initial results in this direction.
Utilizing critical thinking-based EFL lessons: A means to improve language skills and encourage student engagement in Thai EFL classes

This paper examines how and to what extents critical thinking-based EFL lessons helped facilitate Thai EFL students’ language learning and their engagement in their fundamental English course at the tertiary level. To collect data, this qualitative study on the teaching practice of critical thinking-based EFL lessons employed classroom observations and collection of relevant documents—written assignments and tests. The findings show critical thinking-oriented EFL lessons, to a large extent, empowered the students’ EFL learning. The observed classroom culture, coupled with written tasks discloses that they felt no longer disenfranchised. The teaching approach initiated access to the target language use and the personal “voice” development, resulting in full engagement and willingness to take extra steps in their language learning. However, the language gain over the year was marginally significant. The study contributes to our understanding and curriculum design in facilitating EFL students’ language learning where critical thinking-related lessons can be incorporated.
An in vitro comparison of the bleaching efficacy of 35% carbamide peroxide with established intracoronal bleaching agents.

AIM
To evaluate the bleaching efficacy of 35% carbamide peroxide, 35% hydrogen peroxide and sodium perborate for intracoronal bleaching of root filled discoloured teeth.


METHODOLOGY
Extracted premolars were artificially stained using whole blood then root canal treatment was performed. After obturation, a 2 mm intermediate base was placed 1 mm below the buccal amelo-cemental junction. Intracoronal bleaching was performed in 11 teeth per group, using either 35% carbamide peroxide gel (group CP), 35% hydrogen peroxide gel (group HP) or sodium perborate mixed with distilled water (group SP). The bleaching agents were replaced after 7 days. The shade of the teeth was evaluated at day 0, 7 and 14. The results were analysed using Kruskal-Wallis one-way analysis of variance and Mann-Whitney U-test.


RESULTS
At the end of 7 days, both groups CP and HP lightened by 8 +/- 3 Vita tab positions, respectively, whereas group SP lightened by 5 +/- 3 tab positions (P < 0.05). At the end of the second bleaching period at day 14, group CP and HP lightened by a further 2 +/- 2 and 2 +/- 3 tab positions, respectively, whereas group SP lightened by a further 3 +/- 4 tab positions. There were no statistical differences between groups at day 14.


CONCLUSIONS
Thirty-five per cent carbamide peroxide and 35% hydrogen peroxide were equally effective for intracoronal bleaching, and significantly better than sodium perborate after 7 days. After 14 days, there were no significant differences between the groups. Thirty-five per cent carbamide peroxide can be recommended as an equally effective alternative to hydrogen peroxide for intracoronal bleaching.
Energy-dispersive X-ray fluorescence analysis of zinc and iron concentration in rice and pearl millet grain

Rice (Oryza sativa L.) and pearl millet (Pennisetum glaucum L.) biofortification breeding programs require accurate and convenient methods to identify nutrient dense genotypes. The aim of this study was to investigate energy-dispersive X-ray fluorescence spectrometry (EDXRF) for the measurement of zinc (Zn) and iron (Fe) concentration in whole grain rice and pearl millet. Grain samples were obtained from existing biofortification breeding programs. Reference Zn and Fe concentrations obtained by inductively-coupled plasma-optical emission spectroscopy (ICP-OES) were used to calibrate the EDXRF instrument. Calibration was performed with 24 samples and separate calibrations were developed for rice and pearl millet. To validate calibrations, EDXRF analyses were conducted on an additional 40 samples of each species. EDXRF results were highly correlated with ICP-OES values for both Zn and Fe in both species (r2 = 0.79 to 0.98). EDXRF predicted Zn and Fe in rice to within 1.9 and 1.6 mg kg−1 of ICP-OES values, and Zn and Fe in pearl millet to within 7.6 and 12.5 mg kg−1 of ICP-OES values, at a 95% confidence level. EDXRF offers a convenient, economical tool for screening Zn and Fe concentration in rice and pearl millet biofortification breeding programs.
Randomness in neural networks: an overview

Neural networks, as powerful tools for data mining and knowledge engineering, can learn from data to build feature-based classifiers and nonlinear predictive models. Training neural networks involves the optimization of nonconvex objective functions, and usually, the learning process is costly and infeasible for applications associated with data streams. A possible, albeit counterintuitive, alternative is to randomly assign a subset of the networks’ weights so that the resulting optimization task can be formulated as a linear least-squares problem. This methodology can be applied to both feedforward and recurrent networks, and similar techniques can be used to approximate kernel functions. Many experimental results indicate that such randomized models can reach sound performance compared to fully adaptable ones, with a number of favorable benefits, including (1) simplicity of implementation, (2) faster learning with less intervention from human beings, and (3) possibility of leveraging overall linear regression and classification algorithms (e.g., l1 norm minimization for obtaining sparse formulations). This class of neural networks attractive and valuable to the data mining community, particularly for handling large scale data mining in real-time. However, the literature in the field is extremely vast and fragmented, with many results being reintroduced multiple times under different names. This overview aims to provide a self-contained, uniform introduction to the different ways in which randomization can be applied to the design of neural networks and kernel functions. A clear exposition of the basic framework underlying all these approaches helps to clarify innovative lines of research, open problems, and most importantly, foster the exchanges of well-known results throughout different communities. © 2017 John Wiley & Sons, Ltd
Some Improvements on Deep Convolutional Neural Network Based Image Classification

We investigate multiple techniques to improve upon the current state of the art deep convolutional neural network based image classification pipeline. The techniques include adding more image transformations to the training data, adding more transformations to generate additional predictions at test time and using complementary models applied to higher resolution images. This paper summarizes our entry in the Imagenet Large Scale Visual Recognition Challenge 2013. Our system achieved a top 5 classification error rate of 13.55% using no external data which is over a 20% relative improvement on the previous year’s winner.
Innovation management in context: Environment, organization and performance

This publication contains reprint articles for which IEEE does not hold copyright. Full text is not available on IEEE Xplore for these articles.
Research Needed to Address the Impacts of Climate Change

This paper lists some of the research needed to address likely impacts of climate change on indoor quality.
Prediction of surface roughness in the ball-end milling process using response surface methodology, genetic algorithms, and grey wolf optimizer algorithm

In this research study proposed are a response surface methodology (RSM), genetic algorithm (GA) and a grey wolf optimizer (GWO) algorithm for prediction of surface roughness in ball-end milling of hardened steel. The RSM is a conventional predicting approach, GA is an evolutionary algorithm and GWO is a new swarm intelligence-based algorithm. Spindle speed, feed per tooth, axial depth and radial depth of cut were selected as input parameters. Experiments were performed on a CNC milling center and experimental data were collected based on a four-factor-five-level central composite design (CCD). RSM was applied for establishing the basic relationship between input parameters and surface roughness. After that analysis of variance (ANOVA) was conducted for the evaluation of the proposed mathematical model. A predefined reduced quadratic model was used as a reference model for a build-up of predictive models using GA and GWO algorithm. Predicted values of RSM, GA and GWO models are compared with experimental results. In the comparison of model performance for all the three models it was found that GWO model is the best solution. The model accuracy was found to be at 91.80 % and 89.58 % for training and testing data, respectively, which showed the effectiveness of the GWO algorithm for modeling machining processes. © 2018 PEI, University of Maribor. All rights reserved.
Just a Fad? Gamification in Health and Fitness Apps

BACKGROUND
Gamification has been a predominant focus of the health app industry in recent years. However, to our knowledge, there has yet to be a review of gamification elements in relation to health behavior constructs, or insight into the true proliferation of gamification in health apps.


OBJECTIVE
The objective of this study was to identify the extent to which gamification is used in health apps, and analyze gamification of health and fitness apps as a potential component of influence on a consumer's health behavior.


METHODS
An analysis of health and fitness apps related to physical activity and diet was conducted among apps in the Apple App Store in the winter of 2014. This analysis reviewed a sample of 132 apps for the 10 effective game elements, the 6 core components of health gamification, and 13 core health behavior constructs. A regression analysis was conducted in order to measure the correlation between health behavior constructs, gamification components, and effective game elements.


RESULTS
This review of the most popular apps showed widespread use of gamification principles, but low adherence to any professional guidelines or industry standard. Regression analysis showed that game elements were associated with gamification (P<.001). Behavioral theory was associated with gamification (P<.05), but not game elements, and upon further analysis gamification was only associated with composite motivational behavior scores (P<.001), and not capacity or opportunity/trigger.


CONCLUSIONS
This research, to our knowledge, represents the first comprehensive review of gamification use in health and fitness apps, and the potential to impact health behavior. The results show that use of gamification in health and fitness apps has become immensely popular, as evidenced by the number of apps found in the Apple App Store containing at least some components of gamification. This shows a lack of integrating important elements of behavioral theory from the app industry, which can potentially impact the efficacy of gamification apps to change behavior. Apps represent a very promising, burgeoning market and landscape in which to disseminate health behavior change interventions. Initial results show an abundant use of gamification in health and fitness apps, which necessitates the in-depth study and evaluation of the potential of gamification to change health behaviors.
Designing for fun: how can we design user interfaces to be more fun?

Joyful sensations often come during physical activities such as entertainment, recreation, or sports parties are fun, dancing is fun, skiing is fun. Fun is also tied to mental challenges such as solving problems, playing music, and discovering something new. In gentler forms it can also be about laughing at late-night comedy shows, listening to music performances, or watching movies. For me, fun is often social -attending parties, trading stories, or meeting compelling personalities.
Aural cholesteatoma in twenty dogs.

OBJECTIVE
To determine the clinical course in dogs with aural cholesteatoma.


STUDY DESIGN
Case series.


ANIMALS
Dogs (n=20) with aural cholesteatoma.


METHODS
Case review (1998-2007).


RESULTS
Twenty dogs were identified. Clinical signs other than those of chronic otitis externa included head tilt (6 dogs), unilateral facial palsy (4), pain on opening or inability to open the mouth (4), and ataxia (3). Computed tomography (CT) was performed in 19 dogs, abnormalities included osteoproliferation (13 dogs), lysis of the bulla (12), expansion of the bulla (11), bone lysis in the squamous or petrosal portion of the temporal bone (4) and enlargement of associated lymph nodes (7). Nineteen dogs had total ear canal ablation-lateral bulla osteotomy or ventral bulla osteotomy with the intent to cure; 9 dogs had no further signs of middle ear disease whereas 10 had persistent or recurrent clinical signs. Risk factors for recurrence after surgery were inability to open the mouth or neurologic signs on admission and lysis of any portion of the temporal bone on CT imaging. Dogs admitted with neurologic signs or inability to open the mouth had a median survival of 16 months.


CONCLUSIONS
Early surgical treatment of aural cholesteatoma may be curative. Recurrence after surgery is associated with advanced disease, typically indicated by inability to open the jaw, neurologic disease, or bone lysis on CT imaging.


CLINICAL RELEVANCE
Presence of aural cholesteatoma may affect the prognosis for successful surgical treatment of middle ear disease.