Miracle-dz/UniFAR-FTUs huggingface dataset:
Information Privacy Concerns in a Participatory Crowdsourcing Smart City Project

‘Smart Cities’ are an innovative approach that allows for current city infrastructure and resources to be used more efficiently. Large amounts of data must be collected for a smart city to be effective, but there are information security concerns that prevent citizens from participating in these projects. This paper investigates what factors need to be in place in order to mitigate the information security concerns of citizens participating in a public safety, participatory crowdsourcing smart city project. The study made use of a quantitative approach with a survey design. A questionnaire was completed by 361 participants of a public safety project hosted East London, South Africa. The results indicated that information security was a concern to the participants. The factors that were identified to mitigate the information security concerns included: legislation; the continuous availability of the crowdsourcing system; education to increase awareness about the information security controls in place and feedback mechanisms to provide evidence about how the reported information is being used to increase public safety in the city.
Dry Waste Segregation using Computer Vision

Waste management has been a constant problem for many countries, regardless of economic and social conditions [1]. The accumulation of garbage and its non-segregation for proper disposal has contributed to environmental and health problems in the most vulnerable population. In Honduras, only 2% of the waste is recycled, carried out by the informal sector, individual collectors, who separate the garbage for sale to the few companies that are dedicated to recycling. This method has proven to be ineffective, so there is a latent need to search for better solutions. In this study, a computer vision system is proposed for the classification of some dry waste, such as aluminum cans, PET bottles and glass bottles. The objective is that the program can detect waste in real time, considering the goal of being able to replace human labor for this work. Results showed that a dataset of 5,981 images, generated from data augmentation of 2,052 images produced significant improvement over the simple dataset. The resulting program meets the stated objective, achieving a mAP of 0.95, and with evaluation metrics such as accuracy and recall greater than 85%. In addition, detections can be made in real time, processing each image in 16.5 ms on average, achieving fast and efficient inference. It is concluded that the program can be implemented for the automatic segregation of aluminum cans, PET bottles, and glass bottles.
The effect of Rhodiolae treating chronic myocardial infarction with heart failure on left ventricular remodeling and serum inflammatory factors

In recent years, due to the aging of society, as well as people's lifestyle and eating habits change, the incidence of myocardial infarction increased significantly, although with the improvement of medical technology, myocardial infarction success rate was significantly higher, but the ventricular remodeling induced by myocardial infarction can easily lead to heart failure, Seriously affecting the quality of patients’ life after surgery[1], and studies have confirmed that cardiac function and serum inflammatory factors are related[2]. In recent years, many domestic use of rhodiola in treating coronary heart disease and chronic myocardial infarction shows that it can improve the therapeutic effect, but the effect of rhodiola on left ventricular remodeling and the level of serum inflammatory factors is still very rare, this study investigated the efficacy of rhodiola treatment on chronic heart failure patients with myocardial infarction is exact, the contents of the report is as follows.
Core Terminology of Disaster Reduction

The extent of disasters and their foreboding trend to increase imply that the problem of disasters will have to be addressed by the world community in the coming years. In the course of the IDNDR, the International Decade of Disaster Reduction (1990-1999), and of many other initiatives that have been spawned over the last years, disaster reduction has gained a lot of momentum and attention. The tolls that disasters are and will be taking have repercussions on countries’ development, economies, and environment in all regions of the world. Human Security and livelihoods are severely compromised.
Mining with the Atthidographers

During the Third eAQUA workshop that took place at the University of Leipzig on the 27 – 28 of June 2010, I presented approaches to investigating the Atthidographers using text mining methods. The Atthidographers are a group of ancient authors who had written a history of Athens, whose works, the so-called Atthides, are now lost. The content can be extrapolated only from scarce references in surviving texts. I shall here summarize problems that arise when dealing with fragmentary authors represented in digital text corpora and specifically when text mining methods are applied. My second aim is to present strategies that bypass the methodical disadvantages of the material. At the same time, I am here providing a concise introduction of the tools being used and finally a sample application in order to allow for an evaluation of the results.
Fake Alpha

We develop a model in which mutual fund investors chase CAPM alpha. Managers can generate CAPM alpha either by discovering mispricing – True Alpha – or by loading on risk factors that are beyond the scope of the CAPM – Fake Alpha. Investors cannot distinguish between the two different types of alpha and thus confuse Fake Alpha with True Alpha. We show that this confusion ex-post causes negative CAPM alpha in equilibrium states. Empirical results support our theoretical predictions: The average CAPM alpha is significantly negative, and retail funds with large loads of Fake Alpha provide investors significantly lower CAPM alpha than their peers.
Beliefs in 1 Running head: BELIEFS IN DIFFERENCES IN JUDGMENTAL BIASES Beliefs in Differences Between Professional and Naïve Stock Investors’ Proneness to Judgmental Biases

Drawing on research demonstrating judgmental biases in stock investments, a questionnaire was constructed to measure whether professional investors are believed to differ from naïve investors in making more rational and less biased judgments. Study 1 showed that both economics undergraduates (n = 118) and psychology undergraduates (n = 72) believe that professional investors are more rational and overconfident than naïve investors are, but less optimistically biased, less influenced by affective factors, and less influenced by others. Similar results were obtained in Study 2 comparing a random population-based sample (n = 178) to an undergraduate sample (n = 186). The finding that professional investors are believed to be both rational and overconfident may reflect an intuitive association between overconfidence and decisiveness believed to benefit stock investments.
Natural Products Extraction of the Future—Sustainable Manufacturing Solutions for Societal Needs

The production of plant-based extracts is significantly influenced by traditional techniques and the natural variability of feedstock. For that reason, the discussion of innovative approaches to improve the manufacturing of established products and the development of new products within the regulatory framework is essential to adapt to shifting quality standards. This perspective of members of the DECHEMA/ProcessNet working group on plant-based extracts outlines extraction business models and the regulatory framework regarding the extraction of traditional herbal medicines as complex extracts. Consequently, modern approaches to innovative process design methods like QbD (Quality by Design) and quality control in the form of PAT (Process Analytical Technology) are necessary. Further, the benefit of standardized laboratory equipment combined with physico-chemical predictive process modelling and innovative modular, flexible batch or continuous manufacturing technologies which are fully automated by advanced process control methods are described. A significant reduction of the cost of goods, i.e., by a factor of 4–10, and decreased investments of about 1–5 mil. € show the potential for new products which are in line with market requirements.
Agent-Based Simulation of Collaborative Unmanned Satellite Vehicles 1

Collaboration indicates the action of help or support someone in the performance of any activity, contributing to the achievement of a goal. In particular, when teams working collaboratively can obtain greater resources as, recognition and reward when facing competition for finite resources. The ability to establish a collaborative mechanism between unmanned sensors platforms can bring benefits through improved situational awareness (SA). In the design of future unmanned vehicle systems, coordination of heterogeneous teams is one of the key issues that should be solved.
Ions in the gas phase , studied in electrostatic ion-storage rings

Electrostatic ion-storage rings have proven to be valuable tools in studying ions under vacuum conditions. The ELectrostatic Ion Storage ring in Aarhus (ELISA) was first described in the literature in 1997 [1], at about the same time as the design of a resonator-type ion trap was reported at the Weizmann Institute [2]. Both ion-trapping devices are being used with great success [3]. The traps and rings offer a number of advantages in comparison with conventional single-pass accelerator based techniques. The ability to follow a species over time, for example after excitation by a laser, is of immense importance. Thereby reaction channels may be sorted according to their ‘reaction-time’. Direct electron emission, for example, happens essentially prompt compared to the oscillation/revolution time in the storage device, whereas statistical fragmentation in a hot ground state typically happens much slower.
Sequential Decisions: Solving Markov Decision Processes

Sequential decisions are the building blocks of intelligence. Intelligent agents must reason about future consequences of every action and optimize their behavior accordingly to discover high performing policies. This document introduces Markov Decision Processes (MDPs), a tractable mathematical formulation of the sequential decision problem, and three algorithms for solving them: Value Iteration, Policy Iteration, and Linear Programming. It additionally presents a form of Soft Value Iteration that enables tractable manipulation of Gibbs distributions over trajectories in these settings. These tools are some of the most basic constructs constituting the heavily researched field of Decision Theory. Throughout, we see numerous connections to core areas of mathematics such as Linear Algebra and Optimization, from a linear system whose solution reveals the cumulative accrued reward of policies acting over time, to an instance of the Power Method derived as an algorithm for calculating stochastic policy distributional normalizers. This exposition is necessarily incomplete, but these ideas are the catalyst for many successful areas of Robotics and Machine Learning dedicated to the design and implementation of intelligent machines. 1 Sequential Decisions ”Think about the consequences of your actions! ” Your mom is right. Intelligence revolves around reaching beyond simple reactive action choices to the complex but powerful tools designed to reason about future consequences of actions and sequential decisions. We can’t answer the question, ”What action should I take now? ” without considering what that action does and what might come next. The efficacy of actions taken ten seconds from now depend critically on actions performed now. And in choosing actions now, we must account for what possibilities that opens up for the future and how we plan to capitalize on those opportunities. Intelligent behavior must reason about how entire sequences of actions change the state of the world and whether that cumulative outcome is good or bad.
urcacycline A and B modulate apoptosis induced by heat stress in heep oocytes during in vitro maturation brahim

The main objective of the current study was to investigate the effect of Curcacycline A and B against heat stress induced apoptosis. Cumulus-oocyte complexes (COCs) were allocated in several groups were cultured at 39 ◦C and 42 ◦C in TCM-199 supplemented either with hormones alone, or with two cyclic peptides isolated from the latex of Jatropha curcas, namely Curcacycline A and B. In general, the results revealed a concrete reduction in the maturation rate of sheep oocytes cultured in TCM-199 medium at 42 ◦C. At the same temperature, higher percentages of sheep oocytes cultured with Curcacycline A or A + B were matured compared with TCM-199 medium alone. Both the expression of apoptotic related-genes (Bax, Bcl-2, Caspase 3, P53 and C-myc) and the generation of reactive oxygen species (ROS) increased ◦ poptotic related genes OS generation significantly in oocytes cultured in TCM-199 medium at 42 C. The addition of Curcacycline A and B supplements to the culture media at 42 ◦C suppressed the effect of heat stress on the expression of apoptotic genes and on the generation of ROS. In conclusion, results indicated that the two cyclic peptides inhibited the negative effect of heat stress on meiotic maturation, expression of apoptotic genes and ROS generation in oocytes. © 2016 Elsevier B.V. All rights reserved.
Increased Mortality in Patients With Diabetes Associated With Olmesartan for the Prevention / Delay of Microalbuminuria Onset : a Matter of Concern ?

thrombus. We therefore decided to withdraw the catheter, without initial resolution of the clot. However, 2 weeks later we found it had disappeared. Persistent left superior vena cava is a relatively frequent anatomic variable of central venous drainage (1% in the general population). It is often found during central catheter placement or when using imaging techniques. Catheter placement using this access is not contraindicated and pacemaker electrode deployment via this route has been described elsewhere.However, both in central catheter placement and pacemaker electrode deployment, control X-ray projections must be studied to exclude anomalous trajectories. In selected cases, echocardiography is useful in clarifying catheter location with respect to cardiac structures. We have found no other cases of catheter thrombosis in the left superior vena cava in the literature. Hence, we consulted general guidelines on deep vein thrombosis to decide what action to take. Guidelines include catheter withdrawal, anticoagulation therapy or fibrinolysis and, occasionally, thrombectomy by aspiration, or surgical withdrawal of the clot. Several studies discuss the hypothetical chance that fibrinolysis and catheter withdrawal might help dislodge fragments of thrombotic material, although results of series reported show catheter withdrawal can be performed safely. In our patient, given good clinical tolerance and the large amount of thrombotic material, we initially decided against manipulating the catheter. However, faced with no initial improvement, we finally opted for withdrawal, which gave rise to no complications and enabled us to resolve the patient’s condition. Antonio J. Romero-Puche,* Roberto Castro-Arias, Gustavo Vera, Alfonso Wilchez, and Antonio Castilla
Employment protection , productivity , wages and jobs in Europe

In this paper, we use industry data for 11 OECD countries over the period 1984-2007 to test for productivity, wages and employment effects of employment protection legislation (EPL). In accordance with conventional competitive theory, we find that EPL both lowers productivity and produces a compensating wage differential that lowers wages. Manufacturing appears more constrained by EPL than services. In both sectors, an important result is that employment is not reduced by EPL. The downside seems to be an increase in hours worked per worker, which implies that EPL concentrates employment on those who already have it.
Recent Advances in Numerical and Experimental Downwind Sail Aerodynamics

Over the past two decades, the numerical and experimental progresses made in the field of downwind sail aerodynamics have contributed to a new understanding of their behaviour and improved designs. Contemporary advances include the numerical and experimental evidence of the leading-edge vortex, as well as greater correlation between model and full-scale testing. Nevertheless, much remains to be understood on the aerodynamics of downwind sails and their flow structures. In this paper, a detailed review of the different flow features of downwind sails, including the effect of separation bubbles and leading-edge vortices will be discussed. New experimental measurements of the flow field around a highly cambered thin circular arc geometry, representative of a bi-dimensional section of a spinnaker, will also be presented here for the first time. These results allow interpretation of some inconsistent data from past experiments and simulations, and to provide guidance for future model testing and sail design.
From the Forest to Housing : Challenges Faced by Former Rough Sleepers in the Private Rental Market in Hungary

> Abstract_ This article explores the challenges homeless people face when trying to access the private rental market in a context where access to social housing is limited, and where there is no minimum income, nor substantial housing benefits. The paper draws on an evaluation of a recent initiative, the Pilisi Forest Project, which aimed to re-house 152 rough sleepers (during 2007-2009), the most vulnerable group within the homeless community, from various forests in Budapest, Hungary. The project offered service users a housing allowance as well as floating support for a duration of 12 months. The project faced a number of operational challenges including take-up from clients, community integration issues, the prejudice of landlords and lack of staff time. However the greatest challenge was in achieving housing sustainment beyond 12 months, in a situation where most clients had insufficient financial resources to meet the rent without assistance from the project. The article draws conclusions from the lessons learnt in this project that can be adapted to the wider context of Hungary, as well as other European countries with a similar level of social provision.
UvA-DARE ( Digital Academic Repository ) SPECT imaging in young patients with schizophrenia

Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva. nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible.
Learning Dynamic Spatiotemporal Fields Using Data from Mobile Sensors

This paper considers the problem of learning stable dynamic spatiotemporal fields. We first construct a dynamical model for the spatiotemporal field. Then we use mobile sensors to move along a uniformly observable periodic trajectory to collect point samples about the field at the waypoints of the trajectory. Using the sensors’ data we propose an algorithm based on subspace identification algorithms to learn the parameters of the dynamical model to fit the field. We prove that as the number of data goes to infinity, the parameters learned by our algorithm will converge to the true parameters. The performance of our algorithm is demonstrated in experiments.
Implementing and Evaluating Methods of Dialect Classification on Read and Spontaneous German Speech

The majority of pronunciation tutoring systems is addressing foreign learners of a language, while some applications, such as the rhetoric or articulation training of actors and managers, are also dedicated to native speakers. In particular, accent-reduction tutoring requires reliable methods of Automatic Dialect Clas-siﬁcation (ADC) on both, learners’ or reference speech. Beyond that, ADC can support further applications of language and speech technology, e.g. the localization of call-center talks or a forensic analysis. Our contribution describes ADC experiments on different corpora of read and spontaneous German speech, which are not based on prior corpus transcriptions. We started with selected feature combinations and classiﬁcation methods, which have been already studied on English, Mandarin or Arabic. Based on this, we implemented, trained and evaluated classiﬁers on German dialect varieties in the corpora “Regional Variants of German 1” (RVG) and “Deutsch Heute” (DH). Our test design is focused on differences among the read and spontaneous speech data. The evaluation indicates, that a three or nine-class dialect discrimination and classiﬁcation on read and spontaneous speech are utilizing the same basic principles, although the overall results, purely using spectral or correlating features, are less sophisticated and call for further clar-iﬁcations.
MDM 2 Inhibitor Nutlin-3 a Induces Apoptosis and Senescence in Cutaneous T-Cell Lymphoma : Role of p 53

P53 is rarely mutated in cutaneous T-cell lymphoma (CTCL) and is therefore a promising target for innovative therapeutic approaches. Nutlin-3a is an inhibitor of MDM2 (human homolog of murine double minute 2), which disrupts its interaction with p53, leading to the stabilization and activation of p53. To investigate the potential therapeutic use of nutlin-3a in CTCL, we screened CTCL lines Hut-78, SeAx, MyLa2000, Mac1, and Mac2a by measuring p53 levels after nutlin-3a treatment. In MyLa2000, Mac1, and Mac2a, we observed the increase in p53, indicating the fully functional p53. In the remaining cell lines, P53 mutation analysis identified a homozygous nonsense mutation (R196Stop in Hut-78) and a homozygous missense mutation (G245S in SeAx). In MyLa2000, Mac1, and Mac2a carrying wild-type P53, nutlin-3a induced apoptosis and senescence demonstrated by permanent G0/G1 cell-cycle block and expression of the senescence-associated b-galactosidase. This effect was abolished in cells in which p53 was silenced by small interfering RNA. Sézary cells lack functional p53 and were resistant to nutlin-3a. However, nutlin-3a potentiated the efficacy of conventional chemotherapeutics not only in cells with intact p53 but also in Hut-78, SeAx, and Sézary cells. Thus, targeting p53 by nutlin-3a may constitute a therapeutic approach in CTCL because of increased apoptosis and senescence of tumor cells.
Mindfulness training for stress management : A two-centre randomised controlled study of medical and psychology students with long-term follow up Summary

Several studies have documented high levels of mental distress and low life satisfaction in students (1-3), and health care professionals (4,5), and the need to address this through teaching relevant coping skills (6,7). Optimal patient care is dependant on health care workers who are healthy, and able to cope with the strains of the helping professions. They must also have developed the ability to be fully present with their patients in order to see, understand and communicate well with them.