LLukas22/scidocs huggingface dataset:
Context counts: How learners' contexts influence learning in a MOOC

Massive Open Online Courses (MOOCs) require individual learners to self-regulate their own learning, determining when, how and with what content and activities they engage. However, MOOCs attract a diverse range of learners, from a variety of learning and professional contexts. This study examines how a learner's current role and context influences their ability to self-regulate their learning in a MOOC: Introduction to Data Science offered by Coursera. The study compared the self-reported self-regulated learning behaviour between learners from different contexts and with different roles. Significant differences were identified between learners who were working as data professionals or studying towards a higher education degree and other learners in the MOOC. The study provides an insight into how an individual's context and role may impact their learning behaviour in MOOCs. © 2015 Elsevier Ltd. All rights reserved.
From Visual Exploration to Storytelling and Back Again

The primary goal of visual data exploration tools is to enable the discovery of new insights. To justify and reproduce insights, the discovery process needs to be documented and communicated. A common approach to documenting and presenting findings is to capture visualizations as images or videos. Images, however, are insufficient for telling the story of a visual discovery, as they lack full provenance information and context. Videos are difficult to produce and edit, particularly due to the non-linear nature of the exploratory process. Most importantly, however, neither approach provides the opportunity to return to any point in the exploration in order to review the state of the visualization in detail or to conduct additional analyses. In this paper we present CLUE (Capture, Label, Understand, Explain), a model that tightly integrates data exploration and presentation of discoveries. Based on provenance data captured during the exploration process, users can extract key steps, add annotations, and author "Vistories", visual stories based on the history of the exploration. These Vistories can be shared for others to view, but also to retrace and extend the original analysis. We discuss how the CLUE approach can be integrated into visualization tools and provide a prototype implementation. Finally, we demonstrate the general applicability of the model in two usage scenarios: a Gapminder-inspired visualization to explore public health data and an example from molecular biology that illustrates how Vistories could be used in scientific journals. (see Figure 1 for visual abstract).
Globalization of Authorship in the Marketing Discipline: Does It Help or Hinder the Field?

M scholars have reflected upon the marketing discipline’s internal evolution before. However, no prior study has assessed the globalization of authorship in our discipline, let alone assessed its consequences for the field. This paper addresses the following two questions: (1) Is there evidence of increasing globalization of authorship in the marketing discipline? (2) If so, does it help or hinder the field? Our work shows empirically how the globalization of our discipline evolved, how U.S. dominance is fading, and which countries experienced a rise in productivity of their affiliate and native scholars. Globalization hinders the field, because it has a negative effect on the impact of several major journals (most importantly, the Journal of Marketing and the Journal of Marketing Research). Globalization helps the field, because it has a positive effect on the diversity of our discipline. Important implications of our research are: (1) Journals and sponsoring organizations should strive for more international meetings. (2) Editors, reviewers, and authors should pay more attention to the global relevance of the research they publish, review, and submit. (3) Individual researchers should aim to be part of the global community of marketing scientists through, for instance, international research visits.
The Role of Religious Leaders in Promoting Healthy Habits in Religious Institutions

The growing obesity epidemic in the West, in general, and the USA, in particular, is resulting in deteriorating health, premature and avoidable onset of disease, and excessive health care costs. The religious community is not immune to these societal conditions. Changing health behavior in the community requires both input from individuals who possess knowledge and credibility and a receptive audience. One group of individuals who may be uniquely positioned to promote community change but have been virtually ignored in the applied health and consulting psychology literature is religious leaders. These individuals possess extraordinary credibility and influence in promoting healthy behaviors by virtue of their association with time-honored religious traditions and the status which this affords them—as well as their communication skills, powers of persuasion, a weekly (captive) audience, mastery over religious texts that espouse the virtues of healthy living, and the ability to anchor health-related actions and rituals in a person’s values and spirituality. This article focuses on ways in which religious leaders might promote healthy habits among their congregants. By addressing matters of health, nutrition, and fitness from the pulpit and in congregational programs, as well as by visibly adopting the tenets of a healthier lifestyle, clergy can deliver an important message regarding the need for healthy living. Through such actions, religious leaders can be effective agents in promoting critical change in these areas.
Neural learning and dynamical selection of redundant solutions for inverse kinematic control

We introduce a novel recurrent neural network controller that learns and maintains multiple solutions of the inverse kinematics. Redundancies are resolved dynamically by means of multi-stable attractor dynamics. The associative network comprises a combined forward and inverse model of the robot's kinematics and enables flexible selection of control spaces by mixing constraints in task space and joint space. The network is integrated into a feedforward-feedback control framework which enables dynamical movement generation. We show results for the humanoid robot iCub in simulation.
Recognition, classification and mechanical description of debris flows

Various types of flow or mass movement involving water and sediments occur on steep slopes in mountainous areas. Among them, debris flows are peculiar events during which a large volume of a highly concentrated viscous water-debris mixture flows through a stream channel. Throughout the world these phenomena cause considerable damage but remain poorly understood although a basic knowledge is already available concerning their recognition and propagation. Firstly, a synthesis of the useful practical criteria of recognition is proposed. Debris flows must be seen as intermediate phenomena between hyperconcentrated flows (intense bed load transport) and landslides separated from them by sharp transitions of some characteristics (celerity, deposit nature and flow type). Two parameters, solid fraction and material type, thought to be appropriate for a sound and practical classification, are brought out, and the corresponding complete classification of flow and mass movements in mountain areas is presented. Two extreme debris flow types are thus distinguished: muddy debris flows and granular debris flows. A critical review of recent advances in debris flow dynamics is then proposed. It is pointed out that adequate work must be carried out in the field of non-Newtonian fluid mechanics. In particular, one fundamental rheological property of debris flow materials is the yield stress, which explains thick deposits on steep slopes and can be inferred from field measurements. Furthermore it can be used to estimate viscous dissipation within the bulk during flow. Relevant models predicting muddy debris flow dynamics are already available whereas further progress is needed concerning granular flows.
Reasoning with Temporal Logic on Truncated Paths

We consider the problem of reasoning with linear temporal logic on truncated paths. A truncated path is a path that is finite, but not necessarily maximal. Truncated paths arise naturally in several areas, among which are incomplete verification methods (such as simulation or bounded model checking) and hardware resets. We present a formalism for reasoning about truncated paths, and analyze its characteristics.
System design for a solar powered electric vehicle charging station for workplaces q

This paper investigates the possibility of charging battery electric vehicles at workplace in Netherlands using solar energy. Data from the Dutch Meteorological Institute is used to determine the optimal orientation of PV panels for maximum energy yield in the Netherlands. The seasonal and diurnal variation in solar insolation is analyzed to determine the energy availability for EV charging and the necessity for grid connection. Due to relatively low solar insolation in Netherlands, it has been determined that the power rating of the PV array can be oversized by 30% with respect to power rating of the converter. Various dynamic EV charging profiles are compared with an aim to minimize the grid dependency and to maximize the usage of solar power to directly charge the EV. Two scenarios are considered – one where the EVs have to be charged only on weekdays and the second case where EV have to be charged all 7 days/week. A priority mechanism is proposed to facilitate the charging of multiple EV from a single EV–PV charger. The feasibility of integrating a local storage to the EV–PV charger to make it grid independent is evaluated. The optimal storage size that reduces the grid dependency by 25% is evaluated. 2016 The Authors. Published by Elsevier Ltd. This is an openaccess article under the CCBY license (http:// creativecommons.org/licenses/by/4.0/).
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours

Can we automatically design a Convolutional Network (ConvNet) with the highest image classification accuracy under the latency constraint of a mobile device? Neural architecture search (NAS) has revolutionized the design of hardware-efficient ConvNets by automating this process. However, the NAS problem remains challenging due to the combinatorially large design space, causing a significant searching time (at least 200 GPU-hours). To alleviate this complexity, we propose Single-Path NAS, a novel differentiable NAS method for designing hardware-efficient ConvNets in less than 4 hours. Our contributions are as follows: 1. Single-path search space: Compared to previous differentiable NAS methods, Single-Path NAS uses one singlepath over-parameterized ConvNet to encode all architectural decisions with shared convolutional kernel parameters, hence drastically decreasing the number of trainable parameters and the search cost down to few epochs. 2. Hardware-efficient ImageNet classification: Single-Path NAS achieves 74.96% top-1 accuracy on ImageNet with 79ms latency on a Pixel 1 phone, which is state-of-the-art accuracy compared to NAS methods with similar inference latency constraints (≤ 80ms). 3. NAS efficiency: Single-Path NAS search cost is only 8 epochs (30 TPUhours), which is up to 5,000× faster compared to prior work. 4. Reproducibility: Unlike all recent mobile-efficient NAS methods which only release pretrained models, we open-source our entire codebase at: https://github.com/dstamoulis/single-path-nas.
Interaction Protocols for Cooperative Merging and Lane Reduction Scenarios

This paper presents the interaction protocols developed for execution of two common scenarios in daily traffic using cooperative automated vehicles. The first proposed scenario addresses merging of a (semi-)automated car on a highway within a platoon of (semi-)automated vehicles. The second scenario is an extension of the first scenario with a focus on a lane reduction where a platoon of automated vehicles merges into a second one on a different lane. The proposed interaction protocols are characterized by a sequence of maneuvers to execute the scenarios together with the corresponding communication message sets. Moreover, the vehicle control system should be equipped to implement these protocols. Therefore, the design strategy should address the interaction protocol as well as the control system design. The most important feature of the proposed design strategy is to decompose the scenarios into a sequence of basic maneuvers. This method provides a generic solution which can be implemented to other scenarios, too. Also, the thought behind the design approach is to follow the pattern that human drivers interact in similar daily traffic occasions as well as to ensure a distributed decision making mechanism where no fixed supervisor is required. In both scenarios, the platoon controllers are active to achieve the common control objective of platooning. However, for realization of the proposed scenarios, additional controllers are needed to perform the scenario-specific tasks.
Tele-ophthalmology for diabetic retinopathy screening: 8 years of experience.

PURPOSE
To describe the results of a diabetic retinopathy screening program implemented in a primary care area.


METHODS
A retrospective study was conducted using data automatically collected since the program began on 1 January 2007 until 31 December 2015.


RESULTS
The number of screened diabetic patients has progressively increased, from 7,173 patients in 2007 to 42,339 diabetic patients in 2015. Furthermore, the ability of family doctors to correctly interpret retinographies has improved, with the proportion of retinal images classified as normal having increased from 55% in 2007 to 68% at the end of the study period. The proportion of non-evaluable retinographies decreased to 7% in 2015, having peaked at 15% during the program. This was partly due to a change in the screening program policy that allowed the use of tropicamide. The number of severe cases detected has declined, from 14% with severe non-proliferative and proliferativediabetic retinopathy in the initial phase of the program to 3% in 2015.


CONCLUSIONS
Diabetic eye disease screening by tele-ophthalmology has shown to be a valuable method in a growing population of diabetics. It leads to a regular medical examination of patients, helps ease the workload of specialised care services and favours the early detection of treatable cases. However, the results of implementing a program of this type are not immediate, achieving only modest results in the early years of the project that have improved over subsequent years.
Host country specific factors and the transfer of human resource management practices in multinational companies

This paper concerns the transfer of human resource management (HRM) practices by multinational companies (MNCs) to their overseas subsidiaries. It investigates how factors originating from the cultural and institutional framework of the host country impact on this transfer. Using data collected from MNC subsidiaries located in Greece and local Greek firms, we examine the degree to which several HRM practices in MNC subsidiaries resemble local practices. Our empirical findings indicate that subsidiaries have adapted their HRM practices to a considerable extent, although some practices are more localised than others. Specifically, practices that do not fit well with Greek culture or are in contrast to employee regulations show a low level of transfer. On the other hand, our interviews revealed that significant cultural changes are underway and that the institutional environment is gradually getting more relaxed, leaving more room to
Secure nearest neighbor revisited

In this paper, we investigate the secure nearest neighbor (SNN) problem, in which a client issues an encrypted query point E(q) to a cloud service provider and asks for an encrypted data point in E(D) (the encrypted database) that is closest to the query point, without allowing the server to learn the plaintexts of the data or the query (and its result). We show that efficient attacks exist for existing SNN methods [21], [15], even though they were claimed to be secure in standard security models (such as indistinguishability under chosen plaintext or ciphertext attacks). We also establish a relationship between the SNN problem and the order-preserving encryption (OPE) problem from the cryptography field [6], [5], and we show that SNN is at least as hard as OPE. Since it is impossible to construct secure OPE schemes in standard security models [6], [5], our results imply that one cannot expect to find the exact (encrypted) nearest neighbor based on only E(q) and E(D). Given this hardness result, we design new SNN methods by asking the server, given only E(q) and E(D), to return a relevant (encrypted) partition E(G) from E(D) (i.e., G ⊆ D), such that that E(G) is guaranteed to contain the answer for the SNN query. Our methods provide customizable tradeoff between efficiency and communication cost, and they are as secure as the encryption scheme E used to encrypt the query and the database, where E can be any well-established encryption schemes.
THE SELFIE PHENOMENON : THE IDEA OF SELF-PRESENTATION AND ITS IMPLICATIONS AMONG YOUNG WOMEN A

The purpose of this study is to explore how female users identify the act of uploading selfies as an expression of external affirmation or as an act of empowerment in terms of redefining beauty standards that are reinforced in society. In addition, this study attempts to provide a foundation for understanding the selfie phenomenon and its relationship to perceived sense of self-worth in young women from the usage of Instagram. As the literature review indicates, there is a lack of research presented on the user’s emotional state in relation to using Instagram. Thus, the most appropriate research design for this subject was a qualitative study. The interview questions were open-ended and structured to acquire knowledge about participant’s ability to believe in themselves, assumptions taught about what it means to be a woman, and motivations for personal aspirations and happiness. The sample consisted of eleven participants. The findings in this study provide valuable information that build on the current literature of social networking sites and it’s implications on the users’ emotional state. Results from the findings include handling rejection and criticism, conflict between external expectations and personal aspirations, comparison to others and independence. This study provides a framework for future explorations of identity construction through self-presentation and social media use in a rapidly changing, communication environment. It is important to continue research in the area of selfies as a category on its own due to the endless ways it is incorporated in our lives. EXPLORING THE SELFIE PHENOMENON: THE IDEA OF SELF-PRESENTATION AND ITS IMPLICATIONS AMONG YOUNG WOMEN A project based upon an independent investigation, submitted in partial fulfillment of the requirements for the degree of Master of Social Work.
Cryptic 7q21 and 9p23 deletions in a patient with apparently balanced de novo reciprocal translocation t(7;9)(q21;p23) associated with a dystonia-plus syndrome: paternal deletion of the epsilon-sarcoglycan (SGCE) gene

AbstractWe report on a boy with myoclonus-dystonia (M-D), language delay, and malformative anomalies. Genetic investigations allowed the identification of an apparently balanced de novo reciprocal translocation, t(7;9)(q21;p23). Breakpoint-region mapping using fluorescent in situ hybridization (FISH) analysis of bacterial artificial chromosome (BAC) clone probes identified microdeletions of 3.7 and 5.2 Mb within 7q21 and 9p23 breakpoint regions, respectively. Genotyping with microsatellite markers showed that deletions originated from paternal alleles. The deleted region on chromosome 7q21 includes a large imprinted gene cluster. SGCE and PEG10 are two maternally imprinted genes. SGCE mutations are implicated in M-D. In our case, M-D is due to deletion of the paternal allele of the SGCE gene. PEG10 is strongly expressed in the placenta and is essential for embryo development. Prenatal growth retardation identified in the patient may be due to deletion of the paternal allele of the PEG10 gene. Other genes in the deleted region on chromosome 7 are not imprinted. Nevertheless, a phenotype can be due to haploinsufficiency of these genes. KRIT1 is implicated in familial forms of cerebral cavernous malformations, and COL1A2 may be implicated in very mild forms of osteogenesis imperfecta. The deleted region on chromosome 9 overlaps with the candidate region for monosomy 9p syndrome. The proband shows dysmorphic features compatible with monosomy 9p syndrome, without mental impairment. These results emphasize that the phenotypic abnormalities of apparently balanced de novo translocations can be due to cryptic deletions and that the precise mapping of these aneusomies may improve clinical management.
Basic Engineering Geology

In this book I have tried to explain in simple way for engineering students what exactly the need to understand for their future requirements. Since I have both Industrial and academic experience for more than a decade it made me to choose some topics which are very important for a civil Engineer.This is basic subject for civil engineering students which will give a brief idea for core subjects like Soil mechanics, Foundation Engineering, Earthquake Engineering and many more.
Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks

We present a Bayesian network (BN) model for forecasting Association Football match outcomes. Both objective and subjective information are considered for prediction, and we demonstrate how probabilities transform at each level of model component, whereby predictive distributions follow hierarchical levels of Bayesian inference. The model was used to generate forecasts for each match of the 2011/ 2012 English Premier League (EPL) season, and forecasts were published online prior to the start of each match. Profitability, risk and uncertainty are evaluated by considering various unit-based betting procedures against published market odds. Compared to a previously published successful BN model, the model presented in this paper is less complex and is able to generate even more profitable returns. 2013 The Authors. Published by Elsevier B.V. Open access under CC BY license.
The Second International Chinese Word Segmentation Bakeoff

The second international Chinese word segmentation bakeoff was held in the summer of 2005 to evaluate the current state of the art in word segmentation. Twenty three groups submitted 130 result sets over two tracks and four different corpora. We found that the technology has improved over the intervening two years, though the out-of-vocabulary problem is still or paramount importance.
Residents' Waste Separation Behaviors at the Source: Using SEM with the Theory of Planned Behavior in Guangzhou, China.

Understanding the factors that affect residents' waste separation behaviors helps in constructing effective environmental campaigns for a community. Using the theory of planned behavior (TPB), this study examines factors associated with waste separation behaviors by analyzing responses to questionnaires distributed in Guangzhou, China. Data drawn from 208 of 1000-field questionnaires were used to assess socio-demographic factors and the TPB constructs (i.e., attitudes, subjective norms, perceived behavioral control, intentions, and situational factors). The questionnaire data revealed that attitudes, subjective norms, perceived behavioral control, intentions, and situational factors significantly predicted household waste behaviors in Guangzhou, China. Through a structural equation modeling analysis, we concluded that campaigns targeting moral obligations may be particularly effective for increasing the participation rate in waste separation behaviors.