nils-herrmann/clean_scirepeval huggingface dataset:
The Influence of Organizational Politics on Business IT Alignment
Venue: Int. J. IT Bus. Alignment Gov.

Business IT alignment continues to remain a top management concern. Regardless of ample research, achieving and sustaining business IT alignment remains challenging to organization's management. To this day, the influence of organizational politics remains unstudied in the light of business IT alignment. By performing a case study in a large organization in Sweden, the authors present and discuss how organizational politics influences business IT alignment from the viewpoint of practitioners. They find that organizational politics has a negative influence on communications, partnering, IT governance, IT scope, and business and IT skills of the Strategic Alignment Maturity model. Furthermore, the authors identified several root causes for organizational politics in the business IT alignment context, not addressed by the commonly used business IT alignment constructs. The findings of this research study are useful to business and IT practitioners for achieving and sustaining business IT alignment in their organizations considering the influence of organizational politics.
Predicting drug target interactions using meta path based semantic network analysis
Venue: BMC Bioinformatics

BackgroundIn the context of drug discovery, drug target interactions (DTIs) can be predicted based on observed topological features of a semantic network across the chemical and biological space. In a semantic network, the types of the nodes and links are different. In order to take into account the heterogeneity of the semantic network, meta path based topological patterns were investigated for link prediction.ResultsSupervised machine learning models were constructed based on meta path topological features of an enriched semantic network, which was derived from Chem2Bio2RDF, and was expanded by adding compound and protein similarity neighboring links obtained from the PubChem databases. The additional semantic links significantly improved the predictive performance of the supervised learning models. The binary classification model built upon the enriched feature space using the Random Forest algorithm significantly outperformed an existing semantic link prediction algorithm, Semantic Link Association Prediction (SLAP) to predict unknown links between compounds and protein targets in an evolving network. In addition to link prediction, Random Forest also has an intrinsic feature ranking algorithm, which can be used to select the important topological features that contribute to link prediction.ConclusionsThe proposed framework has been demonstrated as a powerful alternative to SLAP in order to predict DTIs using the semantic network that integrates chemical, pharmacological, genomic, biological, functional, and biomedical information into a unified framework. It offers the flexibility to enrich the feature space by using different normalization processes on the topological features, and it can perform model construction and feature selection at the same time.
Reconstruction of landslide movements by inversion of 4 D electrical resistivity tomography monitoring data

Reliable tomographic inversion of geoelectrical monitoring data from unstable slopes relies critically on knowing the electrode positions, which may move over time. We develop and present an innovative inverse method to recover movements in both surface directions from geoelectrical measurements made on a grid of monitoring electrodes. For the first time, we demonstrate this method using field data from an active landslide to recover sequences of movement over timescales of days to years. Comparison with GPS measurements demonstrated an accuracy of within 10 of the electrode spacing, sufficient to correct the majority of artefacts that would occur in subsequent image reconstructions if incorrect positions are used. Over short timescales where the corresponding subsurface resistivity changes were smaller, the constraints could be relaxed and an order of magnitude better accuracy was achievable. This enabled the onset and acceleration of landslide activity to be detected with a temporal resolution of a few days.
Covariance constrained difference inversion of time lapse electrical resistivity tomography data

ABSTRACTHydrogeophysics has become a major field of research in the past two decades, and time lapse electrical resistivity tomography (ERT) is one of the most popular techniques to monitor passive and active processes in shallow subsurface reservoirs. Time lapse inversion schemes have been developed to refine inversion results, but they mostly still rely on a spatial regularization procedure based on the standard smoothness constraint. We have applied a covariance based regularization operator to the time lapse ERT inverse problem. We first evaluated the method for surface and crosshole ERT with two synthetic cases and compared the results with the smoothness constrained inversion (SCI) These tests showed that the covariance constrained inversion (CCI) better images the target in terms of shape and amplitude. Although more important in low sensitivity zones, we have observed improvements everywhere in the tomograms. Those synthetic examples also show that an error made in the range or in the type of the.
A new approach to compact semiconductor device modelling with Qucs Verilog A analogue module synthesis

Since the introduction of SPICE non linear controlled voltage and current sources, they have become a central feature in the interactive development of behavioural device models and circuit macromodels. The current generation of SPICE based open source general public license circuit simulators, including Qucs, Ngspice and Xyce(c) implements a range of mathematical operators and functions for modelling physical phenomena and system performance. The Qucs equation defined device is an extension of the SPICE style non linear B type controlled source which adds dynamic charge properties to behavioural sources, allowing for example, voltage and current dependent capacitance to be easily modelled. Following, the standardization of Verilog A, it has become a preferred hardware description language where analogue models are written in a netlist format combined with more general computer programming features for sequencing and controlling model operation. In traditional circuit simulation, the generation of a Verilog A model from a schematic, with embedded non linear behavioural sources, is not automatic but is normally undertaken manually. This paper introduces a new approach to the generation of Verilog A compact device models from Qucs circuit schematics using a purpose built analogue module synthesizer. To illustrate the properties and use of the Qucs Verilog A module synthesiser, the text includes a number of semiconductor device modelling examples and in some cases compares their simulation performance with conventional behavioural device models.
The Early Care and Education Workforce

In this article, Deborah Phillips, Lea Austin, and Marcy Whitebook examine educational preparation, compensation, and professional development among the early childhood workforce. Their central theme is that these features look very different for preschool teachers than they do for the elementary school teaching workforce.Most teachers of kindergarten through third grade can count on clear job requirements, professional development opportunities, workplace supports such as paid planning time, and a transparent and rational salary structure based on qualifications and experience. These teachers often earn a wage that approaches the median income in their communities.For most preschool teachers, Phillips, Austin, and Whitebook write, the situation is very different. Job requirements and qualifications vary wildly from program to program and from state to state. Professional development is both scarce and inconsistent. Compensation often fails to reward educational attainment or training; in fact, many preschool teachers are among the lowest paid workers in the country. Poor compensation fuels turnover, which means that society loses investments in professional learning, and produces economic insecurity and stress among preschool teachers.The crux of quality in early childhood education lies squarely in the interactions that transpire between teachers and children, the authors write. Thus it's long past time, they argue, to recognize prekindergarten through third grade as a continuum that requires a seamless system of professional learning and compensation tied to qualifications, including education. To move beyond incremental improvements in the quality of early care and education, they conclude, empirical research, intervention, and policy alike should focus on the preparation, professional development, compensation, and wellbeing of early childhood teachers.
Direct Observation: Assessing Orthopaedic Trainee Competence in the Ambulatory Setting
Venue: The Journal of the American Academy of Orthopaedic Surgeons

The Accreditation Council of Graduate Medical Education requires that residency programs teach and assess trainees in six core competencies. Assessments are imperative to determine trainee competence and to ensure that excellent care is provided to all patients. A structured, direct observation program is feasible for assessing nontechnical core competencies and providing trainees with immediate constructive feedback. Direct observation of residents in the outpatient setting by trained faculty allows assessment of each core competency. Checklists are used to document residents' basic communication skills, clinical reasoning, physical examination methods, and medical record keeping. Faculty concerns regarding residents' professionalism, medical knowledge, fatigue, or ability to self assess are tracked. Serial observations allow for the reinforcement and/or monitoring of skills and attitudes identified as needing improvement. Residents who require additional coaching are identified early in training. Progress in educational milestones is recorded, allowing an individualized educational program that ensures that future orthopaedic surgeons excel across all domains of medical and surgical competence.
Data Resource Acquisition from People at Various Stages of Cognitive Decline Design and Exploration Considerations
Venue: Louhi@EMNLP

In this paper we are introducing work in progress towards the development of an infrastructure (i.e. design, methodology, creation and description) of linguistic and extra linguistic data samples acquired from people diagnosed with subjective or mild cognitive impairment and healthy, age matched controls. The data we are currently collecting consists of various types of modalities; i.e. audio recorded spoken language samples; transcripts of the audio recordings (text) and eye tracking measurements. The integration of the extra linguistic information with the linguistic phenotypes and measurements elicited from audio and text, will be used to extract, evaluate and model features to be used in machine learning experiments. In these experiments, classification models that will be trained, that will be able to learn from the whole or a subset of the data to make predictions on new data in order to test how well a differentiation between the aforementioned groups can be made. Features will be also correlated with measured outcomes from e.g. language related scores, such as word fluency, in order to investigate whether there are relationships between various variables.
STUDENTS' PERCEPTION TOWARD THE IMPLEMENTATION OF DIGITAL STORYTELLING IN TEACHING WRITING

This paper reports a research of students' perception on the implementation of digital storytelling in teaching writing to second semester students of STKIP Siliwangi Bandung. The research aims to find out the benefits and challenges of using digital storytelling. This research comes up due to answering digitalization era. Wherein, students should be accommodated by technology in teaching learning process. The research was conducted at STKIP Siliwangi Bandung. The subject of this research was writing for general communication students. The data were obtained from students' interview. The findings revealed that there are some benefits. They are the development of students' writing ability, the improvement of students' reading comprehension, the development of students' cooperation skill, the increasing of students' participation in the class, fun learning's atmosphere and the increasing of students' writing interest. The challenges had something to do with students' proficiency. Based on those findings, it is suggested to obtain deep data of the research and to modify new teaching practice.
Rules Lurking at the Heart of Aristotle's Virtue Ethics

Aristotle speaks often of orthos logos which might be translated "right rule." Nevertheless, many contemporary interpreters and translators avoid the term "rule" and similar terms. I shall show that Aristotle does indeed provide numerous rules including right rules for all of the virtues on his list in the Nicomachean Ethics. But these rules do not undermine Aristotle's credentials as a founder of virtue ethics or of moderate particularism.
Assisted reproductive technology use, embryo transfer practices, and birth outcomes after infertility insurance mandates: New Jersey and Connecticut.
Venue: Fertility and sterility

To explore whether recently enacted infertility mandates including coverage for assisted reproductive technology (ART) treatment in New Jersey (2001) and Connecticut (2005) increased ART use, improved embryo transfer practices, and decreased multiple birth rates.  Retrospective cohort study using data from the National ART Surveillance System. We explored trends in ART use, embryo transfer practices and birth outcomes, and compared changes in practices and outcomes during a 2 year period before and after passing the mandate between mandate and non mandate states.  Not applicable.  Cycles of ART performed in the United States between 1996 and 2013. INTERVENTION(S) Infertility insurance mandates including coverage for ART treatment passed in New Jersey (2001) and Connecticut (2005) MAIN OUTCOME MEASURES(S) Number of ART cycles performed, number of embryos transferred, multiple live birth rates. RESULT(S) Both New Jersey and Connecticut experienced an increase in ART use greater than the non mandate states. The mean number of embryos transferred decreased significantly in New Jersey and Connecticut; however, the magnitudes were not significantly different from non mandate states. There was no significant change in ART birth outcomes in either mandate state except for an increase in live births in Connecticut; the magnitude was not different from non mandate states. CONCLUSION(S) The infertility insurance mandates passed in New Jersey and Connecticut were associated with increased ART treatment use but not a decrease in the number of embryos transferred or the rate of multiples; however, applicability of the mandates was limited.
State Insurance Mandates and Multiple Birth Rates After In Vitro Fertilization
Venue: Obstetrics and gynecology

To examine the association between state mandated insurance coverage for in vitro fertilization (IVF) and the incidence of multiple birth while controlling for differences in baseline patient characteristics.  We conducted a retrospective cohort study using the Society for Assisted Reproductive Technology Clinic Outcomes Reporting System from 2007 to 2011 to examine the association between state mandated insurance coverage for IVF and the incidence of multiple birth while controlling for differences in baseline patient characteristics. Analyses were stratified according to patient age and day of embryo transfer (3 or 5)  Of the 173,968 cycles included in the analysis, 45,011 (25.9% were performed in mandated states and 128,957 (74.1% in nonmandated states. The multiple birth rate was significantly lower in mandated states (29.0% compared with 32.8% adjusted odds ratio [OR] 0.87, 99.95% confidence interval [CI] 0.80 0.94) After stratification, this association remained statistically significant only in women younger than 35 years old who underwent transfer on day 5 (33.1% compared with 38.6% adjusted OR 0.81, 99.95% CI 0.71 0.92) Among women younger than 35 years with day 5 transfer, the elective single embryo transfer rate was significantly higher in mandated states (21.8% compared with 13.1% adjusted OR 2.36, 99.95% CI 2.09 2.67)  State mandated insurance coverage for IVF is associated with decreased odds of multiple birth. This relationship is driven by increased use of elective single embryo transfer among young women undergoing day 5 transfer.
Healthy through habit: Interventions for initiating maintaining health behavior change

Interventions to change health behaviors have had limited success to date at establishing enduring healthy lifestyle habits. Despite successfully increasing people's knowledge and favorable intentions to adopt healthy behaviors, interventions typically induce only short term behavior changes. Thus, most weight loss is temporary, and stepped up exercise regimens soon fade. Few health behavior change interventions have been successful in the longer term. In this article, we unpack the behavioral science of health habit interventions. We outline habit forming approaches to promote the repetition of healthy behaviors, along with habit breaking approaches to disrupt unhealthy patterns. We show that this two pronged approach breaking existing unhealthy habits while simultaneously promoting and establishing healthful ones is best for long term beneficial results. Through specific examples, we identify multiple intervention components for health policymakers to use as a framework to bring about lasting behavioral public health benefits.
Understanding persuasion contexts in health gamification: A systematic analysis of gamified health behavior change support systems literature
Venue: Int. J. Medical Informatics

Gamification is increasingly used as a design strategy when developing behavior change support systems in the healthcare domain. It is commonly agreed that understanding the contextual factors is critical for successful gamification, but systematic analyses of the persuasive contexts have been lacking so far within gamified health intervention studies.  Through a persuasion context analysis of the gamified health behavior change support systems (hBCSSs) literature, we inspect how the contextual factors have been addressed in the prior gamified health BCSS studies. The implications of this study are to provide the practitioners and researchers examples of how to conduct a systematic analysis to help guide the design and research on gamified health BCSSs. The ideas derived from the analysis of the included studies will help identify potential pitfalls and shortcomings in both the research and implementations of gamified health behavior change support systems.  We systematically analyzed the persuasion contexts of 15 gamified health intervention studies. According to our results, gamified hBCSSs are implemented under different facets of lifestyle change and treatments compliance, and use a multitude of technologies and methods. We present a set of ideas and concepts to help improve endeavors in studying gamified health intervention through comprehensive understanding of the persuasive contextual factors.  Future research on gamified hBCSSs should systematically compare the different combinations of contextual factors, related theories, chosen gamification strategies, and the study of outcomes to help understand how to achieve the most efficient use of gamification on the different aspects of healthcare. Analyzing the persuasion context is essential to achieve this. With the attained knowledge, those planning health interventions can choose the 'tried and tested' approaches for each particular situation, rather than develop solutions in an ad hoc manner.
How Effective are Behavior Change Interventions Based on the Theory of Planned Behavior? A Three Level Meta Analysis

The theory of planned behavior (TPB) is a prominent framework for predicting and explaining behavior in a variety of domains. The theory is also increasingly being used as a framework for conducting behavior change interventions. In this meta analysis, we identified 82 papers reporting results of 123 interventions in a variety of disciplines. Our analysis confirmed the effectiveness of TPB based interventions, with a mean effect size of .50 for changes in behavior and effect sizes ranging from .14 to .68 for changes in antecedent variables (behavioral, normative, and control beliefs, attitude, subjective norm, perceived behavioral control, and intention) Further analyses revealed that the interventions' effectiveness varied for the diverse behavior change methods. In addition, interventions conducted in public and with groups were more successful than interventions in private locations or focusing on individuals. Finally, we identified gender and education as well as behavioral domain as modera.
Behavior Change Techniques Present in Wearable Activity Trackers: A Critical Analysis
Venue: JMIR mHealth and uHealth

Wearable activity trackers are promising as interventions that offer guidance and support for increasing physical activity and health focused tracking. Most adults do not meet their recommended daily activity guidelines, and wearable fitness trackers are increasingly cited as having great potential to improve the physical activity levels of adults.  The objective of this study was to use the Coventry, Aberdeen, and London Refined (CALO RE) taxonomy to examine if the design of wearable activity trackers incorporates behavior change techniques (BCTs) A secondary objective was to critically analyze whether the BCTs present relate to known drivers of behavior change, such as self efficacy, with the intention of extending applicability to older adults in addition to the overall population.  Wearing each device for a period of 1 week, two independent raters used CALO RE taxonomy to code the BCTs of the seven wearable activity trackers available in Canada as of March 2014. These included Fitbit Flex, Misfit Shine, Withings Pulse, Jawbone UP24, Spark Activity Tracker by SparkPeople, Nike+ FuelBand SE, and Polar Loop. We calculated interrater reliability using Cohen's kappa.  The average number of BCTs identified was 16.3/40. Withings Pulse had the highest number of BCTs and Misfit Shine had the lowest. Most techniques centered around self monitoring and self regulation, all of which have been associated with improved physical activity in older adults. Techniques related to planning and providing instructions were scarce.  Overall, wearable activity trackers contain several BCTs that have been shown to increase physical activity in older adults. Although more research and development must be done to fully understand the potential of wearables as health interventions, the current wearable trackers offer significant potential with regard to BCTs relevant to uptake by all populations, including older adults.