Miracle-dz/UniFAR-FTUs huggingface dataset:
A Markov Process Model of Work-Life Expectancies by Educational Attainment Based on Labor Force Activity in 1997-98

This paper considers two alternative legal structures that exist in some of the fifty states that can provide a measure of economic damages to parents in cases involving the wrongful death of minor children. In a traditional wrongful death action, the surviving parents sue for their own losses. With the death of a minor child, those losses would be future loss of financial support and loss of household production. Any calculation of those loss elements calls for speculative assumptions about the future behavior of the adult child. The authors point out that another approach they have advocated in the past, the parental investment approach, has been largely rejected by the legal system. The two structures considered in this paper derive from (1) survival actions that allow recovery for the lost earnings stream of the decedent child, with or without deduction for the personal maintenance expenditures of the child and (2) special provisions in some wrongful death acts that allow recovery for "lost accumulations to an estate. " Both provisions are described in detail, with examples of states using those provisions. Several legal decisions that provide insight into these legal structures are also considered, along with an important Idaho Supreme Court decision forbidding consideration of lost accumulations to an estate in Idaho.
CLEF 2017 Technologically Assisted Reviews in Empirical Medicine Overview

Systematic reviews are a widely used method to provide an overview over the current scientific consensus, by bringing together multiple studies in a reliable, transparent way. The large and growing number of published studies, and their increasing rate of publication, makes the task of identifying all relevant studies in an unbiased way both complex and time consuming to the extent that jeopardizes the validity of their findings and the ability to inform policy and practice in a timely manner. The CLEF 2017 e-Health Lab Task 2 focuses on the efficient and effective ranking of studies during the abstract and title screening phase of conducting Diagnostic Test Accuracy systematic reviews. We constructed a benchmark collection of fifty such reviews and the corresponding relevant and irrelevant articles found by the original Boolean query. Fourteen teams participated in the task, submitting 68 automatic and semi-automatic runs, using information retrieval and machine learning algorithms over a variety of text representations, in a batch and iterative manner. This paper reports both the methodology used to construct the benchmark collection, and the results of the evaluation.
Twenty Years’ Research on Microwave Application to Metal Production and Recycling

Ever since discovery of microwave heating in 1946, its application has been developed in various fields. Our research group has performed intensive studies on microwave heating application to metal production and recycling for these twenty years. In this article, it is intended to introduce our attempts having made for different projects. They are 1. Microwave processing of Ti bearing blast furnace slag, microstructural alteration and comminution. 2. Microwave carbo-thermic reduction of valuable metals from various oxides. 3. Microwave drying and dehydration of wet wastes. 4. Vapor de-phosphorization by microwave rapid heating. It is to be emphasized that we utilized a single mode microwave applicator for the purpose of clarification on the heating mechanisms of various metallurgical matters and compounds, and it was intended to discuss the reaction kinetics excited by microwave heating.
A Study of the Effects of High Performance Work System on Employee’s Proactive Behavior and Mediating Role of Psychological Empowerment among the Airline Staff in United Arab Emirates

DOI: 10.21276/sjbms.2018. 3.11. 1 Abstract: Aviation industry is facing severe challenges such as increase in fuel prices, heavy competition, and changing customer needs. By giving importance to the human resource issues and strategically utilizing staff capabilities, firms in aviation industry can better addresses such challenges. In this context, in current study, our objective was to test the effects of High Performance Work System (HPWS) on employee’s perceived psychological empowerment and proactive behavior. Additionally, the employee’s perceived psychological empowerment is proposed as mediator between the relationship of HPWS and employee proactive behavior. Primary data for this study is collected using the survey measure adapted from previous sources. Through convenience sampling, data is collected from staff from selected airline firms located in the UAE region (n=177). Findings indicate that HPWS dimensions including training and compensation have positive and significant effects on employee’s proactive behavior. Similarly, the HPWS dimensions including recruitment and compensation have positive and significant effects on employee’s perceived psychological empowerment. Further, our findings indicate that psychological empowerment function as a mediator between the HPWS dimensions of recruitment and compensation and employee proactive behavior. Our findings have implications for the management of the aviation industry firms.
EMC simulations using source reconstruction

Electromagnetic compatibility (EMC) means that electric components and devices do not interfere with each other or are affected by the environment in unwanted ways. For a given device, such as a mobile phone, television set, microwave oven, antenna, etc., it means making sure on one hand that it does not generate electromagnetic fields that can disturb other devices and on the other hand that it in itself is not overly susceptible to EM conditions that can be expected in its operating environment. EMC is becoming an increasingly important issue in the automotive industry. Many systems in a car that have in the past been hydraulic or mechanical are being replaced by electromechanical designs, such as drivetrains, power windows, steering, parking brakes, etc. Furthermore, electrically controlled features are being added such as touchscreens, tire pressure monitors, remote keys, wireless charging and various equipment related to autonomous driving. The parts in a car must fulfill various EMC regulations regarding both their impact on other systems and their immunity to being disturbed themselves. Simulating EMC means including the parts to be studied in a model and determining such quantities as magnetic field, electric field, induced currents, etc., depending on the requirement to be investigated. A common challenge for automotive EMC simulations is that many parts are acquired from suppliers who for IP reasons may not share such data as 3D CAD models, material properties, or excitations. This raises the question of how to perform EMC simulations in the absence of such information. The topic of this paper is to investigate source reconstruction [1] as a possible solution. The main idea is that a proprietary part acting as possible source of EMC failures has a black box representation based on measurements while the remainder of the system is modelled in a conventional manner.
Malaria abrogates O’nyong–nyong virus pathologies by restricting virus infection in nonimmune cells

This study reveals that acute blood-stage malaria promotes resistance to ONNV infection by inducing IFNg-dependent antiviral status in human and murine nonimmune cells. O’nyongnyong virus (ONNV) is a re-emerging alphavirus previously known to be transmitted by main malaria vectors, thus suggesting the possibility of coinfections with arboviruses in co-endemic areas. However, the pathological outcomes of such infections remain unknown. Using murine coinfection models, we demonstrated that a preexisting blood-stage Plasmodium infection suppresses ONNV-induced pathologies. We further showed that suppression of viremia and virus dissemination are dependent on Plasmodium-induced IFNγ and are associated with reduced infection of CD45− cells at the site of virus inoculation. We further proved that treatment with IFNγ or plasma samples from Plasmodium vivax–infected patients containing IFNγ are able to restrict ONNV infection in human fibroblast, synoviocyte, skeletal muscle, and endothelial cell lines. Mechanistically, the role of IFNγ in restricting ONNV infection was confirmed in in vitro infection assays through the generation of an IFNγ receptor 1 α chain (IFNγR1)–deficient cell line.
An energy efficient sub-threshold to above-threshold level shifter using a modified Wilson current mirror

ABSTRACT In this article, a new energy efficient level shifter circuit is described for robust sub-threshold to above-threshold voltage conversion. The design is based on a modification of the Wilson current mirror that minimizes the static current and improves the energy efficiency. The proposed level shifter is capable of converting a 200 mV signal into a 1 V signal and operates correctly across process corners. At the design target ( 200 mV, input signal frequency = 1 MHz), the proposed level shifter exhibits a propagation delay of 20.17 ns, a static power dissipation of 11.07 nW, and the total energy per transition of 113.2 fJ. We compare our results with the design proposed by Lutkemeier and Ruckert (2010). At the design target, the energy delay product of our design is 81.53% that of the reference design and, over all the voltage range of from 160 mV to 1 V, the proposed circuit shows an average energy reduction of 14.71% compared to the reference design. Thorough variability analysis was performed using HSPICE Monte Carlo simulations for different values of , which reveals the robustness of the proposed design.
Key Technical Schemes for ±800kV UHVDC Project from Xiangjiaba to Shanghai

By means of summarizing the consultation and research on the ±800kV UHVDC project from Xiangjiaba to Shanghai, the main conclusions for key technical problems, such as technical scheme for this project, including design condition (containing the condition of connecting UHVDC into AC system, pollution situation and transportation conditions for huge size work pieces), UHVDC system design (containing main connection design, rated values, dynamic responses, configuration of reactive power compensation devices, reliability and availability factor), insulation coordination and external insulation, design of converter station and the requirements to main equipments, are expounded to offer referential advisory opinions for the advance of UHVDC technique and research and development of UHVDC equipments as well as for the construction of UHVDC projects.
Damani 1..9

of ongoing plaque rupture and as a warning of possible heart attack in the near future. validated in an independent cohort, the new work suggests that tell-tale CECs may be useful in the clinic as evidence disease (narrowing of arteries in the legs and feet). Although the study must be conducted in more patients and ECs with larger cellular and nuclear areas, relative to age-matched controls and patients with peripheral vascular . also found that acute MI patients specifically displayed multicellular, multinuclear EC clusters and et al death. Damani significantly in patients, relative to controls, and this elevation was not correlated with other measures of heart tissue had experienced a type of heart attack known to manifest after acute arterial plaque rupture. CECs were elevated permit isolation of rare cells, the authors measured and characterized CECs in healthy subjects and in patients who Using automated, clinically feasible, three-channel fluorescence microscopy technology that can detect and catastrophes, but these measures have not yet made it into the clinic. lethal plaque rupture. Elevated amounts of circulating endothelial cells (CECs) were previously linked to acute arterial vessels, and leakage into the circulation is evidence of ongoing injury to arteries that occurs on the way to potentially increasing in incidence as the population ages and widens. Endothelial cells (ECs) are normally found lining the blood feasible assay for a macromolecule or cell in blood that can identify people at risk for this condition, which is cardiovascular maladies caused by atherosclerotic plaque rupture. Physicians thus require a noninvasive, clinically using stress tests and coronary artery imaging. In contrast, there are no clinically useful tests that warn of impending possible a heart attack as a result of plaque rupture. Indeed, diagnosis of stable coronary artery disease (CAD) is now Many people tell a personal story of a friend or relative who had a normal stress test just weeks before suffering acute atherosclerotic plaque rupture. associated event: − defining a clinical measure that could predict a thus-far unpredictable, myocardial infarction (MI) . take crucial first steps toward et al crucial time in the pathophysiological process of heart disease. Now, Damani before suffering a heart attack? The tale told could be frightening, yes, but the information may allow intervention at a unwanted evidence of his guilt. But what if the body could leak evidence of a fragile condition −− corpse underfoot the floorboards. The guilty murderer imagines that he hears the beating of the dead man's heart emanating from the , the narrator murders an old man and hides the body under The Tell-Tale Heart In Edgar Allan Poe's short story Tell-Tale Cells
Two M2 internships on Deep Learning for population genetics

Context : Using machine learning, we could generate synthetic genomes that successfully mimic the real ones but are not identical to any of them. We relied on two type of neural network architectures that we trained on human genetic databases: (1) Generative Adversarial Networks, that were a breakthrough in the domain of computer vision, allowing the generation of extremely realistic images; (2) Restricted Boltzmann Machines, another family of generative models capable of learning complex data distributions. We measured the quality of the generated genomes in terms of data hidden structure, population structure, linkage disequilibrium, haplotype diversity, etc. and demonstrated that they provided an accurate representation of the real ones. Without duplicating any of the individuals, most key characteristics of the data were conserved. Additionally, we showed that releasing these genomes would lead to a privacy gain. A direct implication is the increase in richness of public datasets, e.g. with populations still under-represented in genetic studies.
A workflow for supporting the evolution requirements of RDF-based semantic warehouses

: Semantic data integration aims to exploit heterogeneous pieces of similar or complementary information for enabling integrated browsing and querying services. A quite common approach is the transformation from the original sources with respect to a common graph-based data model and the construction of a global semantic warehouse. The main problem is the periodic refreshment of the warehouse, as the contents from the data sources change. This is a challenging requirement, not only because the transformations that were used for constructing the warehouse can be invalidated, but also because additional information may have been added in the semantic warehouse, which needs to be preserved after every reconstruction. In this paper, we focus on this particular problem using a semantic warehouse that integrates data about stocks and fisheries from various information systems, we detail the requirements related to the evolution of semantic warehouses and propose a workflow for tackling them
A CLT FOR SECOND DIFFERENCE ESTIMATORS WITH AN APPLICATION TO VOLATILITY AND INTENSITY BY EMIL

In this paper we introduce a general method for estimating the quadratic covariation of one or more spot parameter processes associated with continuous time semimartingales, and present a central limit theorem that has this class of estimators as one of its applications. The class of estimators we introduce, that we call Two-Scale Quadratic Covariation (TSQC) estimators, is based on sums of increments of second differences of the observed processes, and the intervals over which the differences are computed are rolling and overlapping. This latter feature lets us take full advantage of the data, and, by sufficiency considerations, ought to outperform estimators that are based on only one partition of the observational window. Moreover, a twoscales approach is employed to deal with asymptotic bias terms in a systematic manner, thus automatically giving consistent estimators without having to work out the form of the bias term on a case-to-case basis. We highlight the versatility of our central limit theorem by applying it to a novel leverage effect estimator that does not belong to the class of TSQC-estimators. The principal empirical motivation for the present study is that the discrete times at which a continuous time semimartingale is observed might depend on features of the observable process other than its level, such as its spot-volatility process. As an application of the TSQC-estimators, we therefore show how it may be used to estimate the quadratic covariation between the spot-volatility process and the intensity process of the observation times, when both of these are taken to be semimartingales. The finite sample properties of this estimator are studied by way of a simulation experiment, and we also apply this estimator in an empirical analysis of the Apple stock. Our analysis of the Apple stock indicates a rather strong correlation between the spot volatility process of the log-prices process and the times at which this stock is traded (hence observed).
Generating Manga from Illustrations via Mimicking Manga Workflow

We present a framework to generate manga from digital illustrations. In professional mange studios, the manga creation workflow consists of three key steps: (1) Artists use line drawings to delineate the structural outlines in manga storyboards. (2) Artists apply several types of regular screentones to render the shading, occlusion, and object materials. (3) Artists selectively paste irregular screen textures onto the canvas to achieve various background layouts or special effects. Motivated by this workflow, we propose a data-driven framework to convert a digital illustration into three corre-spondingcomponents:mangalinedrawing,regularscreentone,andirregularscreentexture.Thesecomponentscanbedirectlycomposedintomanga imagesandcanbefurtherretouchedformoreplentifulmangacreations.Tothisend,wecreatealarge-scaledatasetwiththesethreecomponentsanno-tatedbyartistsinahuman-in-the-loopmanner.Weconductbothperceptualuserstudyandqualitativeevaluationofthegeneratedmanga,andobserve thatourgeneratedimagelayersforthesethreecomponentsarepracticallyusableinthedailyworksofmangaartists.Weprovide60qualitativeresults and15additionalcomparisonsinthesupplementarymaterial.Wewillmakeourpresentedmangadatasetpubliclyavailabletoassistrelatedapplications.
Virtual Humans with Pets and Robots: Exploring the Influence of Social Priming on One’s Perception of a Virtual Human

Social priming is the idea that observations of a virtual human (VH) engaged in short social interactions with a real or virtual human bystander can positively influence users’ subsequent interactions with that VH. In this paper we investigate the question of whether the positive effects of social priming are limited to interactions with humanoid entities. For instance, virtual dogs offer an attractive candidate for non-humanoid entities, as previous research suggests multiple positive effects. In particular, real human dog owners receive more positive attention from strangers than non-dog owners.To examine the influence of such social priming we carried out a human-subjects experiment with four conditions: three social priming conditions where a participant initially observed a VH interacting with one of three virtual entities (another VH, a virtual pet dog, or a virtual personal robot), and a non-social priming condition where a VH (alone) was intently looking at her phone as if reading something. We recruited 24 participants and conducted a mixed-methods analysis. We found that a VH’s prior social interactions with another VH and a virtual dog significantly increased participants’ perceptions of the VHs’ affective attraction. Also, participants felt more inclined to interact with the VH in the future in all of the social priming conditions. Qualitatively, we found that the social priming conditions resulted in a more positive user experience than the non-social priming condition. Also, the virtual dog and the virtual robot were perceived as a source of positive surprise, with participants appreciating the non-humanoid interactions for various reasons, such as the avoidance of social anxieties sometimes associated with humans.
FIFTY YEARS OF STRUCTURAL SYNTHESIS: SOME MUSINGS FROM A DISCIPLE OF SCHMIT

The purpose here is to offer a brief overview of the structural synthesis field and related developments since its inception 50 years ago. I will include three general areas which will be intermixed. First is a review of Professor Lucien Schmit’s career. Second is a general overview of the development of the technology. This is not a review of the many technical contributions already reported in a multitude of references. Instead, I will focus on a more general picture of the development and include some stories not well known. Third is a more personal discussion of my career as it has been influenced by Schmit. It is a tribute to Lucien Schmit that his single paper, never published in a refereed journal, generated thousands of technical papers and hundreds of professional jobs and has now matured to the point where practical applications are routine, just at the time when the world is recognizing the importance of conserving resources.
Localization and its applications in self-configurable wireless networks

I propose a novel positioning technique for self-configurable wireless networks, based on a Euclidean distance estimation model and a coordinate establishment scheme. A number of nodes serve as the landmarks, which estimate the Euclidean distance of any pair of nodes according to the shortest path length between the two nodes and establish the coordinates system by minimizing an error objective function. Other nodes in the network can accordingly contact the landmarks and determine their own coordinates. This positioning technique is highly fault-tolerable to measurement inaccuracy and can effectively establish the coordinates for self-configurable wireless networks. More landmarks yield more accurate results. I propose three algorithms for border landmark selection, namely the Convex Hull-based (CHB) algorithm, the Center Node Elimination (CNE) algorithm, and the Hierarchy-structured (HS) algorithm. Three applications, coordinate establishment, border detection, and landmark-based routing in general networks without location information, are introduced based on the selected landmarks. Finally, I propose two positioning schemes in three-dimensional space, namely, active scheme and passive scheme, based on RFID technology. The former aims at locating the RFID reader, while the latter targets locating RFID tags. Both approaches are based on a simplex method that minimizes the error objective functions. Our analysis and experiments demonstrate that applying RFID technology to indoor localization is promising.
Survey of state of the art VR Driving Simulation for Physical Test Car Using LiDAR for Mapping the Surrounding Environment

—This document gives an overview of the pipeline from collecting from the LiDAR sensor all the way to visualizing it in the modelling software. It will look into the different issues with mapping the LiDAR data into the correct coordinates with different SLAM algorithms and visualizing issues within software for the point cloud. In this we will make short description on different SLAM algorithms, and their pros and cons on which one to choose. The result was achieved by doing a systematic mapping study on various articles published on the web.