Miracle-dz/UniFAR-FTUs huggingface dataset:
Long-term Risk of Bleeding and Ischemic Events After Ischemic Stroke or Transient Ischemic Attack in Young Adults

Background and Objectives Guidelines recommend antithrombotic medication as secondary prevention for patients with ischemic stroke or transient ischemic attack (TIA) at young age based on results from trials in older patients. We investigated the long-term risk of bleeding and ischemic events in young patients after ischemic stroke or TIA. Methods We included 30-day survivors of first-ever ischemic stroke or TIA aged 18–50 years from the Follow-Up of TIA and Stroke Patients and Unelucidated Risk Factor Evaluation (FUTURE) study, a prospective cohort study of stroke at young age. We obtained information on recurrent ischemia based on structured data collection from 1995 until 2014 as part of the FUTURE study follow-up, complemented with information on any bleeding and ischemic events by retrospective chart review from baseline until last medical consultation or June 2020. Primary outcome was any bleeding; secondary outcome any ischemic event during follow-up. Both were stratified for sex, age, etiology, and use of antithrombotic medication at discharge. Bleeding and ischemic events were classified according to location and bleeding events also by severity. Results We included 544 patients (56.1% women, median age of 42.2; interquartile range [IQR] 36.5–46.7 years) with a median follow-up of 9.6 (IQR 2.5–14.3) years. Ten-year cumulative risk of any bleeding event was 21.8% (95% CI 17.4–26.0) and 33.9% (95% CI 28.3–37.5) of any ischemic event. Risk of bleeding was higher in women with a cumulative risk of 28.2% (95% CI 21.6–34.3) vs 13.7% (95% CI 8.2–18.9) in men (p < 0.01), mainly because of gynecologic bleeds. Female sex (p < 0.001) and age between 40 and 49 years (p = 0.04) were independent predictors of bleeding. Discussion Young patients after ischemic stroke or TIA have a substantial long-term risk of both bleeding (especially women) and ischemic events. Future studies should investigate the effects of long-term antithrombotics in young patients, taking into account the risk of bleeding complications.
Change by Changing Smartphone-Users? The Fairphone as an Experimental Sid/te

are able to collect data continuously ‘on the fly’, even at critical altitudes or near the ground. They “trace the air in string figure patterns of electronic tracks” (ibid.): The data can be published and visual-ized in real time on the pigeon’s ‘blog’. The visualization of pollution areas by the pigeon data can thus also show social inequalities in the habitation of damaged habitats.
16 ROBOT PAIN

What if the painful but necessary experiments that are conducted on animals and people could instead be conducted on elaborate robots? This would be an ethical boon, but only if the robotic surrogates weren’t so elaborate as to themselves suffer real pain. Aside from the potential benefits to medical research, there might be other motives – some benign, some nefarious – for creating robots with the potential of themselves suffering pains. It might increase the usefulness of a robot servant if it took care to prevent damage to itself; and the resultant selfmonitoring system may turn out to implement pain. Some humans may seek to purchase pain-feeling robots for the purpose of torturing them – a sad fact about some humans. Plausibly, there’s an ethical imperative for making sure avoidable robot pains are not inflicted. But there’s a metaphysical question of whether such pains – robot pains – could be inflicted. Further, there’s an epistemological question of how we would ever know. As our technologies advance, this special version of the problem of other minds – the problem of robot pain – becomes increasingly pressing. Can robots feel pain? I intend this question as shorthand for a much more elaborate question, and the sequence of elaborations I intend proceed along two lines, one of which goes beyond “robots” and the other of which goes beyond “feel pain. ” More than robots, I want to ask about a broader class of entities, a class that includes technological artifacts – such as artificially intelligent computers (AI), and computer simulations of human and non-human animals – including so-called “mind uploads,” simulations based directly on brain scans (for more specifically on the feasibility of mind uploading, see Mandik 2015a). Unless it matters for some particular point, I will continue to use “robot” as a handy label for the sort of entity in question, whose resemblance to humans is sufficiently incomplete as to leave interesting and special questions open about whether they feel pain. About the phrase “feel pain,” there are two sorts of pain phenomena or aspects of pain one might indicate by use of that phrase, but only one of those sorts is my primary focus in this chapter and only one of those is what I primarily aim to pick out by “feel pain. ” To be very brief, we might sort these aspects into the first-person aspects and the third-person aspects, and it is the first-person aspects that I primarily intend to pick out by “feeling pain” and related.
Guest Editorial Preface

This special issue of the Journal of Organizational and End User Computing (JOEUC) collects five articles. The first paper, titled “A Lightweight Three-Factor Anonymous Authentication Scheme With Privacy Protection for Personalized Healthcare Applications,” proposes a lightweight three-factor anonymous authentication scheme with forward secrecy for personalized healthcare applications using only the lightweight cryptographic primitives. The proposed scheme adopts pseudonym identity technique to protect user’s real identity, and employs one-way hash chain technique to ensure forward secrecy. Analysis and comparison results demonstrate that the proposed scheme can not only reduce execution time by 34% as compared with the most effective related schemes, but also achieve more security and functional features. The second paper, titled “Time-Aware CF and Temporal Association Rule-Based Personalized Hybrid Recommender System,” proposes a time-aware CF and temporal association rule based personalized hybrid recommender system TP-HR. The proposed time-aware CF algorithm considers evolving features of user’s historical feedbacks. And time-aware user’s similar neighbors selecting measure and time-aware item rating prediction function are proposed to keep track of the dynamics of users’ preferences. The proposed temporal association rule-based recommendation algorithm considers the time context of users’ historical behaviors when mining effective temporal association rules. Experimental results on real datasets show the feasibility and performance improvement of our proposed hybrid recommender system compared to other baseline approaches. The third paper, titled “Towards Smart Transportation System: A Case Study on the Rebalancing Problem of Bike Sharing System Based on Reinforcement Learning,” focuses on the smart transportation system that involves both the organizations that manage the large-scaled system and individual end-users who enjoy these services. The authors study how Deep Reinforcement Learning (DRL) can be used to optimize the operating policy in modern bike sharing systems. As a case study, the authors demonstrate the potential power of the modern DRL by showing a policy-gradient based reinforcement learning approach to the rebalancing problem in a bike sharing system, which can simultaneously improve both the user experience and reduce the operational expense. The fourth paper, titled “A Top-K QoS-Optimal Service Composition Approach Based on Service Dependency Graph,” investigates the Top-k service composition problem that can provide users with more service options, meet diverse application requirements, and eliminate the “overheating” of services brought by the centralized selection of optimal approaches. To overcome the shortcomings of current Top-k service composition approaches, a Top-k service composition approach is proposed in this paper. Through an effective filtering strategy and the serialization representation of the service composition solution, the Top-k service composition approaches can be obtained from a large data set Special Issue on User-Centric Service Recommendation in Internet of Things
Immunhistologische Untersuchungen zur Expression der Wachstumsfaktoren Transforming growth factor- α , - β 1, - β 2 und - β 3 sowie der Matrixmetalloproteinase-2 im zyklischen Endometrium des Pferdes

Expression Wachstumsfaktoren Transforming growth factor-Familie des Enzyms Matrixmetalloproteinase-2 (MMP-2) bei Stute ist wenig bekannt. Ziel der Untersuchung ist daher, das Expressionsmuster von Transforming growth factor- α (TGF- α ), - β 1, - β 2 und - β 3 (TGF- TGF- α and TGF- β 3 do not show any obviously recognizable cycle-dependant variations in expression of stromal and glandular cells, TGF- β 1, - β 2 and MMP-2 demonstrate a cycle-dependent expression. In stroma and glandular cells a maximum of TGF- β 1 expression is observed in postestrus until intermediate diestrus. In luminal epithelia TGF- β 1 is predominantly detectable until intermediate diestrus. Glandular cells show in generally a lower expression of TGF- β 2 with a slightly higher reactivity during estrus. The stromal expression of TGF- β 2 shows no remarkable variations during the reproductive cycle, but a discreet increase of expression is observed in intermediate until late diestrus as well as during estrus. In luminal epithelia a homologous maximal expression of TGF- β 2 und- β 3 appears in intermediate until late diestrus as well as during estrus. The maximum of expression of MMP-2 in stromal cells is associated with intermediate to late diestrus. Defining the physiological expression of TGF-growth factors and the enzyme MMP-2 in the equine endometrium provides a base for further research on biopsies of mares with endometrosis. Only by this comparison it will be pos-sible to provide new insights into the aetiopathogenesis of endometrosis which is until not clarified so far.
Plan physical activities for spring men based on their physical condition

Purpose: to find the features of physical condition of men before their vigorous physical activity sessions in the winter season, and test their effectiveness. Material & Methods: investigated body mass index, physical condition of method by Baevsky in men 35–48 years leading a healthy lifestyle. Research conducted morning and evening every day. Results were compared: the day before, the day of vigorous physical activity, and with average per month. Physical activity was studied by the IPAQ method. Results: found significant (p<0,05) differences in the physical condition of men before and the day of physical activity of high intensity. Marked changes were: body weight, the heart rate, the adaptive capacity by Baevsky. The most significant figure identified as a marker. To test its effectiveness was offer to men plan individual vigorous physical activity under this marker. The result was significant (p<0,05) increase the number and duration of vigorous physical activity, better physical condition to 10,73%. Conclusions: the physical condition of age men plays an important role in planning their vigorous physical activity. Compara-tive deconditioning from the previous day for the test Baevsky 3,09%, can be used for operational planning of physical activity of high intensity on that day.
IN TRANSPORT OF

EURO 2 regulation was applied in Vietnam since the 1 51 July 2007. Although it is an easy regulation but it raises a lot of problems in quality of fuel and engine technology. Under pressure of environment protection laws, emission regulation in our country should be certainly more and more strict. Simultaneous improvement of fuel quality and engine technology satisfying emission regulation needs more investment for vehicles and fuel. The decision depends on economic growth of the country. Basing on analysis of development of future vehicles and perspective of energy resources, the present paper suggests different possibilities for energy-environment issue in transport of Vietnam. According to the analysis, urban common transport should use electricity and gas fuels (LPG, NGV; retrofit instruments are needed to convert taxis, cars and motorcycles from petroleum to gas fuels. In near future, small size hybrid individual cars are suitable for Vietnam conditions. The paper presents also some primaJY results in studying a two-place hybrid car running on electricity and LPG.
Advances in our understanding of light migration through tissue, the development of tomography algorithms, and experimental verification in phantom systems

emerging medical imaging modality in which tissue is illuminated by near-infrared light from an array of sources, the multiply-scattered light which emerges is observed with an array of detectors, and then a model of the progation physics is used to infer the localized optical properties of the illuminated tissue. The three primary absorbers at these wavelengths, water and both oxygenated and deoxygenated hemoglobin, all have relatively weak absorption. This fortuitous fact provides a spectral window through which we can attempt to localize absorption (primarily by the two forms of hemoglobin) and scattering in the tissue. The most important current applications of DOT are detecting tumors in the breast and imaging the brain. The greater blood supply of tumors compared to surrounding tissue provides a target absorption inhomogeneity to image. A similar idea allows us to image bleeding in the brain, while the same association between cerebral activity and increased oxygen supply which underlies functional magnetic resonance imaging (fMRI) also allows functional imaging with DOT. The modality has seen a tremendous upsurge in interest over the last ten years but still presents a number of significant technological and signal processing challenges. In this article we introduce the basic idea of DOT and briefly review the history of optical methods in medicine as relevant to the development of DOT. We then detail the concept of DOT, including a brief review of tissue optical properties, modes of operation for DOT, and the challenges which the development of DOT must overcome. The next sections review the basics of modeling the DOT forward problem and some current issues David A. Boas, Dana H. Brooks, Eric L. Miller, Charles A. DiMarzio, Misha Kilmer, Richard J. Gaudette, and Quan Zhang
Advanced Demonstration of Motion Correction for Ship-to-Ship Passive Inspections

Passive radiation detection is a key tool for detecting illicit nuclear materials. In maritime applications it is most effective against small vessels where attenuation is of less concern. Passive imaging provides: discrimination between localized (threat) and distributed (non-threat) sources, removal of background fluctuations due to nearby shorelines and structures, source localization to an individual craft in crowded waters, and background subtracted spectra. Unfortunately, imaging methods cannot be easily applied in ship-to-ship inspections because relative motion of the vessels blurs the results over many pixels, significantly reducing sensitivity. This is particularly true for the smaller water craft where passive inspections are most valuable. In this project we performed tests and improved the performance of an instrument (developed earlier under, “Motion Correction for Ship-to-Ship Passive Inspections”) that uses automated tracking of a target vessel in visible-light images to generate a 3D radiation map of the target vessel from data obtained using a gamma-ray imager.
MATRIX: a 15 ps resistive interpolation TDC ASIC based on a novel regular structure

This paper presents a 4-channel TDC ASIC with the following features: 15-ps LSB (9.34 ps after calibration), 10-ps jitter, < 4-ps time resolution, up to 10 MHz of sustained input rate per channel, 45 mW of power consumption and very low area (910×215 μm2) in a commercial 180 nm technology. The main contribution of this work is the novel design of the clock interpolation circuitry based on a resistive interpolation mesh circuit (patented), a two-dimensional regular structure with very good properties in terms of power consumption, area and low process variability.
A static force-based procedure for the seismic assessment of existing reinforced concrete moment resisting frames

A force-based seismic assessment procedure for existing reinforced concrete moment resisting frames is discussed. The assessment procedure is based on determining the probable strength and ductility of the critical mechanism of post-elastic deformation of the frame. Account is taken of the likely seismic behaviour of reinforced concrete beams, columns and beam-column joints with substandard reinforcement details typical of structures designed before the 1970s, as determined by the results of experimental testing and analytical studies. The assessment aims at determining the available lateral load strength and structural (displacement) ductility factor of the frames so that the designer can determine the likely seismic performance of the structure by referring to acceleration response spectra for design earthquake forces for various levels of structural ductility factor.
Creativity techniques applied to improve product characteristics: study of handicraft products

Creativity, considered a skill that provides innovation, either in the creation of new products or their improvement, needs to be exercised in order to be. Thus, creativity techniques are being increasingly studied; however there are still few empirical studies on the subject. This article aims to evaluate the application of a creativity technique in two communities that produce handicraft products in the state of Rio Grande do Norte. Through a literature review, we found a total of 74 creativity techniques from which we chose the SCAMPER technique. It provides improved products, is easy to apply, and is suitable for target audience with low level of education. The results demonstrated that the technique presented satisfactory performance on improvement of product characteristics. However, the participant’s creative knowledge must be taken into account before its application
The Mushrooms' Lesson: Instagram as a tool to evaluate users' perception of urban transformations

Since few years, a growing number of researchers has started to develop methods to use Location-Based Social Networks to describe socio-spatial patterns of the city. Beside the more consolidated positions of Facebook and Twitter, Instagram has become, since its founding in 2010, one of the most used social networking in the world. In early 2015, it was reported that over 2000 million of users around the world use this service to share 70 million pictures per day. This paper aims at exploring the use of Instagram networking to visualize differences in the perception of urban spaces through geotagged posts. The case-study investigated the "Mushrooms Street" in Alicante (Spain), where an urban regeneration intervention was performed in 2013. The study aimed at evaluating the impact of the physical transformation in users' perception through Instagram images, which were selected according to the use of hashtags and location-tags chosen by Instagram users. An open issue regards the possibility of using Instagram as a tool not just for building urban and territorial analysis but also to give sense and meaning to urban projects and to planning and design interventions
Efficient Osmosis Filtering of Thermal-Quasi Reflectography Images for Cultural Heritage

In Cultural Heritage, non-invasive infrared imaging techniques are used to analyse portions of deep structures behind wall paintings. When mosaicked, these images usually suffer from light inhomogeneities due to the experimental setup, which may prevent restorers from distinguishing the physical properties of the object under restoration. A light-balanced image is therefore essential for inter-frame comparisons, while preserving intra-frames details. In this paper we apply the image osmosis model proposed in (Weickert, 2013) to solve the light balance problem in Thermal-Quasi Reflectography (TQR) imaging. Due to the large amount of image data, the computation of the numerical solution of the model may be prohibitively costly. To overcome this issue, we make use of efficient operator splitting techniques. We test the proposed numerical schemes on the TQR measurement dataset of the mural painting "Monocromo" by Leonardo Da Vinci at Castello Sforzesco (Milan, Italy). The light corrected result is registered to a visible orthophoto, which makes it re-usable for further restorations.
A hierarchical electricity market structure for the smart grid paradigm

Summary form only given. This paper proposed a hierarchical structure for the electricity market to facilitate the coordination of energy markets in distribution and transmission networks. The proposed market structure enables the integration of microgrids, which provide energy and ancillary services in distribution networks. In the proposed hierarchical structure, microgrids participate in the energy market at the distribution networks settled by the distribution network operator (DNO), and load aggregators (LAs) interact with microgrids and generation companies (GENCOs) to import/export energy to/from the distribution network electricity markets from/to the wholesale electricity market. The proposed approach addressed the synergy of energy markets by introducing dynamic game with complete information for GENCOs, microgrids, and LAs. The proposed hierarchical competition is composed of bi-level optimization problems in which the respective upper-level problems maximize the individual market participants' payoff, and the lower-level problems represent the market settlement accomplished by the DNO or the independent system operator. The bi-level problems are solved by developing sensitivity functions for market participants' payoff with respect to their bidding strategies. A case study is employed to illustrate the effectiveness of the proposed approach.
Micro interactions and Multi dimensional Graphical User Interfaces in the Design of Wrist Worn Wearables

Advances in technology in the past decades, including miniaturized components, flexible materials and novel sensors, fostered advances in Wearable Computing. With many different form factors available and diverse potential features, wearable computers have been successfully applied in various domains. Despite the large potential and versatility of wearable devices, and wrist worn computers in particular, it is still a major challenge to design efficiently their user interfaces and interactive solutions. The design of efficient interaction solutions is complex due to the dynamic constraints and requirements of the contexts of use where the user interaction takes place and also due to inherent limitations of wearable devices, which involve processing, power, and interactive surfaces. This paper presents the main challenges in the design of interaction and interfaces for wrist worn wearables, and to address a major requirement in this domain, of quick interactions through small displays, it also discusses two interaction paradigms in a design approach for wrist worn devices, integrating micro interactions and multi dimensional graphical user interfaces.