LLukas22/scidocs huggingface dataset:
A field test using agents for coordination of residential micro-chp

In the Netherlands decentralised generation of heat and power by mu-CHP units in households is expected to penetrate the market at high speed in the coming years. Using ICT these mu-CHP units can be integrated into a smart power system or virtual power plant. Other local production and consumption of electricity such as PV, wind, heat pumps and electrical vehicles can be added to this cluster. The main goal of a smart power system is to optimize the value of decentralised power production and consumption in view of the total energy value chain. The PowerMatcher is a multi-agent based control concept (and software package) for coordination of demand and supply in electricity networks with a high share of distributed generation. The concept is demonstrated in several real life field tests. One of these field tests is a virtual power plant consisting of 10 mu-CHP units reducing the local peak demand of the common low-voltage grid segment the mu-CHP units are connected to. In this way the VPP supports the local distribution network operator (DNO) to defer reinforcements in the grid infrastructure (transformers and cables). To realize this VPP, an ICT-communication network containing a hardware and software infrastructure has been added to a test rollout of mu-CHP installations in The Netherlands. Main conclusion from the field test is that a peak reduction of 30 -50% can be achieved, depending on summer or winter season.
Coordinated replenishments in inventory systems with correlated demands

Demand correlation among dierent inventory items is common in real-life multi-item inventory systems. However, this phenomenon has not received sucient attention in the existing inventory literature. In this paper, we construct a Markovian model for a two-item inventory system with correlated demands and coordinated replenishments. We obtain an expression for the long-run total cost per unit of time under the can-order replenishment policy. For the scenario with independent replenishments, the explicit formula for the long-run total cost per time unit can be derived, which leads to analytical solutions for the optimal policies. We then present numerical examples of the optimal canorder policies and discuss some managerial insights regarding demand correlation and replenishment coordination. Our numerical results also suggest a possible heuristic method for obtaining can-order replenishment policies for multi-item systems. Ó 2000 Elsevier Science B.V. All rights reserved.
Technology Acceptance Model 3 and a Research Agenda on Interventions

Prior research has provided valuable insights into how and why employees make a decision about the adoption and use of information technologies (ITs) in the workplace. From an organizational point of view, however, the more important issue is how managers make informed decisions about interventions that can lead to greater acceptance and effective utilization of IT. There is limited research in the IT implementation literature that deals with the role of interventions to aid such managerial decision making. Particularly, there is a need to understand how various interventions can influence the known determinants of IT adoption and use. To address this gap in the literature, we draw from the vast body of research on the technology acceptance model (TAM), particularly the work on the determinants of perceived usefulness and perceived ease of use, and: (i) develop a comprehensive nomological network (integrated model) of the determinants of individual level (IT) adoption and use; (ii) empirically test the proposed integrated model; and (iii) present a research agenda focused on potential preand postimplementation interventions that can enhance employees’ adoption and use of IT. Our findings and research agenda have important implications for managerial decision making on IT implementation in organizations. Subject Areas: Design Characteristics, Interventions, Management Support, Organizational Support, Peer Support, Technology Acceptance Model (TAM), Technology Adoption, Training, User Acceptance, User Involvement, and User Participation.
Chapter 1 - Does School Time Matter? On the impact of compulsory education age on school dropout.

A straightforward way to prevent students from leaving education without a higher secondary diploma is increasing the compulsory education age. The idea is that, by staying longer in school, more students eventually obtain a higher secondary diploma. This paper examines the impact of a one-year increase in compulsory school-age on dropping out at secondary education by a di¤erence-in-di¤erences analysis. For this, we exploit a recent compulsory education policy reform in the Netherlands. After controlling for confounding factors and observable covariates, we nd that the one year increase in compulsory school-age reduces dropout by 2.5 percentage points. The e¤ect, however, is entirely situated in the group non-liable to the policy reform. We observe that native Dutch vocational students, mostly without retention in grade, but also without a higher secondary diploma at hand, more often left school in the immediate period before the policy reform. Given the economic revival at that time, this may reect anticipation on labor market opportunities. Keywords: Compulsory education age, di¤erence-in-di¤erences, school dropout Jel: I21, I28, C21 We are grateful to Eva Deuchert, Chris Van Klaveren, Conny Wunsch, Marton Csillag, Wim Groot and Henriëtte Maassen van den Brink for useful comments and discussions. We would like to thank Orm Muilwijk of DMO Amsterdam and the Dutch Ministry of Education for providing the data. The authors acknowledge nancial support of NICIS. The usual caveat applies. yTop institute for Evidence Based Education Research, Maastricht University, Kapoenstraat 2, 6200 MD Maastricht, the Netherlands, s.cabus@maastrichtuniversity.nl. zCorresponding author. xFaculty of Economics and Business, University of Leuven (KUL), Naamsestraat 69, 3000 Leuven, Belgium, kristof.dewitte@econ.kuleuven.be; and Top institute for Evidence Based Education Research, Maastricht University, Kapoenstraat 2, 6200 MD Maastricht, the Netherlands, k.dewitte@maastrichtuniversity.nl.
R3: Reinforced Ranker-Reader for Open-Domain Question Answering

In recent years researchers have achieved considerable success applying neural network methods to question answering (QA). These approaches have achieved state of the art results in simplified closed-domain settings such as the SQuAD (Rajpurkar et al. 2016) dataset, which provides a preselected passage, from which the answer to a given question may be extracted. More recently, researchers have begun to tackle open-domain QA, in which the model is given a question and access to a large corpus (e.g., wikipedia) instead of a pre-selected passage (Chen et al. 2017a). This setting is more complex as it requires large-scale search for relevant passages by an information retrieval component, combined with a reading comprehension model that “reads” the passages to generate an answer to the question. Performance in this setting lags well behind closed-domain performance. In this paper, we present a novel open-domain QA system called Reinforced Ranker-Reader (R), based on two algorithmic innovations. First, we propose a new pipeline for open-domain QA with a Ranker component, which learns to rank retrieved passages in terms of likelihood of extracting the ground-truth answer to a given question. Second, we propose a novel method that jointly trains the Ranker along with an answer-extraction Reader model, based on reinforcement learning. We report extensive experimental results showing that our method significantly improves on the state of the art for multiple open-domain QA datasets. 2
Optimizing Video Object Detection via a Scale-Time Lattice

High-performance object detection relies on expensive convolutional networks to compute features, often leading to significant challenges in applications, e.g. those that require detecting objects from video streams in real time. The key to this problem is to trade accuracy for efficiency in an effective way, i.e. reducing the computing cost while maintaining competitive performance. To seek a good balance, previous efforts usually focus on optimizing the model architectures. This paper explores an alternative approach, that is, to reallocate the computation over a scale-time space. The basic idea is to perform expensive detection sparsely and propagate the results across both scales and time with substantially cheaper networks, by exploiting the strong correlations among them. Specifically, we present a unified framework that integrates detection, temporal propagation, and across-scale refinement on a Scale-Time Lattice. On this framework, one can explore various strategies to balance performance and cost. Taking advantage of this flexibility, we further develop an adaptive scheme with the detector invoked on demand and thus obtain improved tradeoff. On ImageNet VID dataset, the proposed method can achieve a competitive mAP 79.6% at 20 fps, or 79.0% at 62 fps as a performance/speed tradeoff.1
Customizable Route Planning

We present an algorithm to compute shortest paths on continental road networks with arbitrary metrics (cost functions). The approach supports turn costs, enables real-time queries, and can incorporate a new metric in a few seconds—fast enough to support real-time traffic updates and personalized optimization functions. The amount of metric-specific data is a small fraction of the graph itself, which allows us to maintain several metrics in memory simultaneously.
The clinical variability of maternally inherited diabetes and deafness is associated with the degree of heteroplasmy in blood leukocytes.

CONTEXT
Maternally inherited diabetes and deafness (MIDD) is a rare form of diabetes with a matrilineal transmission, sensorineural hearing loss, and macular pattern dystrophy due to an A to G transition at position 3243 of mitochondrial DNA (mtDNA) (m.3243A>G). The phenotypic heterogeneity of MIDD may be the consequence of different levels of mutated mtDNA among mitochondria in a given tissue.


OBJECTIVE
The aim of the present study was thus to ascertain the correlation between the severity of the phenotype in patients with MIDD and the level of heteroplasmy in the blood leukocytes.


PARTICIPANTS
The GEDIAM prospective multicenter register was initiated in 1995. Eighty-nine Europid patients from this register, with MIDD and the mtDNA 3243A>G mutation, were included. Patients with MELAS (mitochondrial encephalomyopathy, lactic acidosis, and stroke-like episodes) or with mitochondrial diabetes related to other mutations or to deletions of mtDNA were excluded.


RESULTS
A significant negative correlation was found between levels of heteroplasmy and age of the patients at the time of sampling for molecular analysis, age at the diagnosis of diabetes, and body mass index. After adjustment for age at sampling for molecular study and gender, the correlation between heteroplasmy levels and age at the diagnosis of diabetes was no more significant. The two other correlations remained significant. A significant positive correlation between levels of heteroplasmy and HbA(1c) was also found and remained significant after adjustment for age at molecular sampling and gender.


CONCLUSIONS
These results support the hypothesis that heteroplasmy levels are at least one of the determinants of the severity of the phenotype in MIDD.
Big Five personality and academic dishonesty : A meta-analytic review

Academic dishonesty is widespread within secondary and higher education. It can include unethical academic behaviors such as cheating, plagiarism, or unauthorized help. Researchers have investigated a number of individual and contextual factors in an effort to understand the phenomenon. In the last decade, there has been increasing interest in the role personality plays in explaining unethical academic behaviors. We used meta-analysis to estimate the relationship between each of the Big Five personality factors and academic dishonesty. Previous reviews have highlighted the role of neuroticism and extraversion as potential predictors of cheating behavior. However, our results indicate that conscientiousness and agreeableness are the strongest Big Five predictors, with both factors negatively related to academic dishonesty. We discuss the implications of our findings for both research and practice. 2014 Elsevier Ltd. All rights reserved.
Animal-related fatalities--part II: characteristic autopsy findings and variable causes of death associated with envenomation, poisoning, anaphylaxis, asphyxiation, and sepsis.

In addition to blunt and sharp trauma, animal-related fatalities may result from envenomation, poisoning, anaphylaxis, asphyxiation, and sepsis. Although the majority of envenomation deaths are caused by hornets, bees, and wasps, the mechanism of death is most often anaphylaxis. Envenomation resulting from the injection of a poison or toxin into a victim occurs with snakes, spiders, and scorpions on land. Marine animal envenomation may result from stings and bites from jellyfish, octopus, stonefish, cone fish, stingrays, and sea snakes. At autopsy, the findings may be extremely subtle, and so a history of exposure is required. Poisoning may also occur from ingesting certain fish, with three main forms of neurotoxin poisoning involving ciguatera, tetrodotoxin ingestion, and paralytic shellfish poisoning. Asphyxiation may follow upper airway occlusion or neck/chest compression by animals, and sepsis may follow bites. Autopsy analysis of cases requires extensive toxinological, toxicological, and biochemical analyses of body fluids.
Association between chronic conditions and perceived unmet health care needs

BACKGROUND
Although effective treatments exist, many Canadians with chronic medical conditions do not receive the full care they require, possibly as a consequence of limited accessibility or availability. A commonly used indicator of inadequate access to or availability of care is the perception of unmet health care needs. The objective of this study was therefore to determine the association between chronic conditions and perceived unmet health care needs.


METHODS
We extracted data for adult respondents from the combined 2001, 2003 and 2005 cross-sectional cycles of the Canadian Community Health Survey. Multivariate logistic regression was used to estimate the association between 7 high-prevalence and high-impact chronic conditions (arthritis, chronic obstructive pulmonary disease/emphysema, diabetes, heart disease, hypertension, mood disorder and stroke) and perceived unmet health care needs in the prior 12 months, adjusting for sociodemographic variables, health behaviours, health status and survey cycle.


RESULTS
Of the 360 105 adult respondents, 12.2% reported an unmet health care need. Compared with those without chronic conditions, respondents with at least one condition were more likely to report an unmet need (adjusted odds ratio [OR] 1.51, 95% confidence interval [CI] 1.45-1.59). Those with mood disorders were almost twice as likely to report an unmet need (OR 1.94, 95% CI 1.78-2.12), while those with diabetes or hypertension were less likely to report an unmet need (diabetes OR 0.85, 95% CI 0.76-0.94; hypertension OR 0.96, 95% CI 0.89-1.04). Furthermore, the likelihood of an unmet need increased with the number of chronic conditions (OR 1.71, 95% CI 1.56-1.88 for 3 or more conditions). Respondents with chronic conditions were more likely than those without to report an unmet need related to resource availability (OR 1.14, 95% CI 1.06-1.22).


INTERPRETATION
Adults with chronic medical conditions are more likely to report an unmet health care need, and the likelihood increases with an increasing number of conditions. Whether these unmet needs are associated with worse outcomes, and whether interventions targeted to address these needs may improve outcomes for Canadians with chronic disease, remain to be determined.
Information propagation in online social networks: a tie-strength perspective

In this paper, we investigate the relationship between the tie strength and information propagation in online social networks (OSNs). Specifically, we propose a novel information diffusion model to simulate the information propagation in OSNs. Empirical studies through this model on various real-world online social network data sets reveal three interesting findings. First, it is the adoption of the information pushing mechanism that greatly facilitates the information propagation in OSNs. Second, some global but cost-intensive strategies, such as selecting the ties of higher betweenness centralities for information propagation, no longer have significant advantages. Third, the random selection strategy is more efficient than selecting the strong ties for information propagation in OSNs. Along this line, we provide further explanations by categorizing weak ties into positive and negative ones and reveal the special bridge effect of positive weak ties. The inverse quantitative relationship between weak ties and network clustering coefficients is also carefully studied, which finally gives reasonable explanations to the above findings. Finally, we give some business suggestions for the cost-efficient and secured information propagation in online social networks.
The West of the Imagination

The dramatic story of the American frontier as seen through the imaginations of stunning Western artists such as Catlin, Remington, and Georgia O'Keeffe. 200 illustrations, 160 in full color.
Health Checks through Landmark Bridges to Sky-High Structures:

Massive infrastructure projects developed in Hong Kong make for big challenges and unique opportunities for engineers and researchers. The construction of the cables-stayed Stonecutters Bridge sets up a new landmark in the bridge engineering community, with its main span exceeding 1,000 m as well as its sophisticated instrumentation system comprising more than 1,500 sensors. The development of structural health monitoring (SHM) technology has evolved for over 10 years in Hong Kong since the implementation of the so-called “Wind And Structural Health Monitoring System (WASHMS)” on the suspension Tsing Ma Bridge in 1997. The successful engineering paradigms of implementing and operating SHM systems for five cable-supported bridges and experiences gained by practice and research in the past decade have promoted the applications of this technology beyond Hong Kong and extending from long-span bridges to high-rise structures. In this paper, the evolution in the design methodology for SHM systems, the advancement in several aspects of SHM technology, and a performance comparison between the early implemented and lately developed SHM systems for large-scale bridges are first outlined. Subsequently, the concept of the so-called “life-cycle structural health monitoring (LSHM)” is addressed by exploring the integration of in-construction monitoring and in-service monitoring and by realizing such an integrated system to a super-tall tower structure. The issue on how an SHM system benefits structural vibration control is also discussed.
The impact on industrial design by the development of three-dimensional printing technology from a technical perspective

The development of three-dimensional printing (3DP) technology will change the current pattern of manufacturing, business model, mode of production and our life style. We elaborate the trends and prospects of three-dimensional printing technology, analysis the impact and change for industry design. As well as responding to the change, industry designer should have new ideas, skills and new knowledge structure.
Evaluation of a satisfied bilateral scleral expansion band patient.

PURPOSE
To measure accommodation subjectively and objectively in a satisfied bilateral scleral expansion band patient.


SETTING
University of Houston, College of Optometry, Houston, Texas, USA.


METHODS
One bilateral scleral expansion patient (age 50 years), 9 age-matched normal presbyopic control subjects (age range 48 to 52 years), and 1 normal control subject (age 27 years) participated. The scleral expansion patient had a complete eye examination, corneal topography, and wavefront measurements 19 months postoperatively. Accommodation was measured subjectively with the push-up technique, minus to blur, and dioptric range of clear vision. Accommodation was determined objectively by measuring the accommodative responses to negative lenses and pilocarpine 6% with a Hartinger coincidence refractometer and to real targets with a dynamic infrared optometer.


RESULTS
Distance and near acuity of 20/20 was achieved with +1.00 diopter (D) in the left eye, +0.50 D in the right eye, and a near add of +2.25 D. Corneal topography and ocular aberration measurements revealed no suggestion of optical multifocality. Subjective measurements resulted in accommodative amplitudes of 1.50 to 4.00 D, and objective measurements resulted in amplitudes of 0.25 to 1.33 D. The PowerRefractor showed an accommodative response of 0.50 D to stimuli of 1.00 to 4.00 D and strong pupillary constriction with accommodative effort compared with the control.


CONCLUSIONS
No increase in accommodative amplitude above normal age-matched controls was found. Patient satisfaction may have come from the high expectations this patient had for a positive surgery outcome.
Features of the Professional and Motivating Training Content Design for Students Majoring in "Tourism"

The urgency of the problem is based on the fact that professional motivating training of students majoring in "Tourism" should be primarily aimed at the formation of their orientation to the professional activity in the field of tourism. A key element of this training is its content, aimed at maintaining the interests of students and the predisposition to their chosen profession. The paper presents the content design features of professional and motivating training of students majoring in "Tourism" in the region with well-developed folk arts and crafts on the theoretical, regulatory, educational, personal levels and on the level of tourist activity. The article submission may be useful for teachers in selecting and structuring the content of professional and motivating training of students majoring in "Tourism".
Comments on the nuclear symmetry energy

According to standard textbooks, the nuclear symmetry energy originates from the kinetic energy and the interaction itself. We argue that this view requires certain modifications and propose a diff ...