Miracle-dz/UniFAR-FTUs huggingface dataset:
Inflation Expectations – a Policy Tool ? 1 By

We assess whether central banks should use inflation expectations as a policy tool for stabilization purposes. We review recent work on how expectations of agents are formed and how they affect their economic decisions. Empirical evidence suggests that inflation expectations of households and firms affect their actions but the underlying mechanisms remain unclear, especially for firms. Two additional limitations prevent policy-makers from being able to actively manage inflation expectations. First, available surveys of firms’ expectations are systematically deficient, which can only be addressed through the creation of large, nationally representative surveys of firms. Second, neither households’ nor firms’ expectations respond much to monetary policy announcements in low-inflation environments. We provide suggestions for how monetary policy-makers can pierce this veil of inattention through new communication strategies. At this stage, the answer to the question of whether inflation expectations should be used as an active policy tool is “not yet”.
Eliminating Health Disparities: Measurement and Data Needs

Disparities in health and health care across racial, ethnic, and socioeconomic backgrounds in the United States are well documented. The reasons for these disparities are, however, not well understood. Current data available on race, ethnicity, SEP, and accumulation and language use are severely limited. The report examines data collection and reporting systems relating to the collection of data on race, ethnicity, and socioeconomic position and offers recommendations.
Text-based Geolocation of German Tweets

We show a new, data-driven method for geolocating single tweets based on the geographical variance of their tokens. While more than half of German tweets do not contain reliable textual indicators of their location, our method can locate 40% of tweets very accurately, up to a distance of 7km (median) or 93km (mean).
Professional development for medical educators and clinical teachers: challenges and opportunities

Medical educators and clinical teachers are increasingly required to become involved in (and to lead) teaching, learning, assessment and supervisory activities with medical students, trainees and other health professionals. Alongside this, medical education itself is becoming more professionalised, driven by quality assurance activities in both undergraduate and postgraduate contexts. This article considers challenges and opportunities for medical educators and clinicians when engaging in professional development activities
NUTRITIONAL VALUE OF PRESS CAKE FROM YELLOW-OR BLACK-SEEDED WINTER RAPESEED FOR GROWING PIGS

Yellow-seeded B. napus canola was found to contain less dietary fibre than brown-seeded B. napus canola, however, there were no differences in a weight gain of broiler chickens fed meals prepared in laboratory from the seeds (Slominski et al. 1999). The study was conducted to determine the nutritional value for pigs of press cakes derived from 3 lines of yellow-seeded winter B. napus 00 rapeseed selected in Plant Breeding and Acclimatization Institute, Poznan, Poland and compare it with the value of a press cake derived from black-seeded winter B. napus 00 rapeseed.
ScienceDirect The 5 th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare ( ICTH 2015 ) Using Candlestick Charts to Predict Adolescent Stress Trend on Microblog

Surveys conducted by psychological institutions show that many teenagers suffer from stress in study, affection, and appearance shape nowadays. Coping with stress has become a major concern for teenagers. With the development of social media, the huge amounts of teens’ tweets on micro-blog make it possible to sense teens’ stress and predict their stress level change through their tweeting contents and behaviors. The finding results enable teachers and parents to know teenager’ stress situations better, be aware of the possible stress level change in advance, and take actions to help stressful teenagers relieve stress. In this paper, we propose to use the candlestick charts which are widely adopted in stock analysis to predict teens’ stress level change on a micro-blog platform. As different individuals have different stress changing characteristics, we define a stress pattern as a sequence of candlestick charts, and do stress pattern matching to judge if a candlestick chart with reversal signals will result in the trend reversal. Our experimental results verify the effectiveness of our candlestick charts based method in predicting teens’ stress level change, compared to time series, MACD (Moving Average Convergence/Divergence), and KDJ (Stochastic Oscillator) based prediction approaches. c © 2014 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Program Chairs.
The role of international student interactions in English as a lingua franca in L2 acquisition, L2 motivational development and intercultural learning during study abroad

Crossing borders features prominently as a theme in study abroad, not only in terms of students’ physical border crossings but also in their intercultural interactions with second language (L2) speakers whose background (linguistic and otherwise) they may perceive as markedly different from their own. Researchers have had a long-standing interest in study abroad participants’ interactions with other L2 speakers abroad for their perceived potential to enhance L2 development, L2 motivation and intercultural learning processes. The focus of existing studies in this area has been on the interactions of study abroad participants with host national students, while their interactions with other international students who are also L2 users abroad have received far less attention, despite the ever-growing international student populations at European universities. This study examined students’ views regarding the role that lingua franca (LF) interactions with other international students played in their L2 acquisition, their L2 motivational development and their intercultural learning during study abroad. The data were derived from an empirical study that involved 81 German ERASMUS students who were studying in the UK for up to one academic year. The students’ views were elicited at the end of their stay with open-ended questionnaire items, and their verbal responses were analyzed using thematic content analysis. The analysis of the students’ reflections revealed a number of functions in each of the three areas, highlighting the potential of international student interactions as a viable source of L2 acquisition, L2 self-motivation, and intercultural learning during study abroad.
The Short-Term Response of Hospitals to the Introduction of the DRG Based Prospective Payment System: Some Evidence from Italy

The aim of this paper is to analyse hospitals’ response to the Diagnosis Related Groups-based prospective payment system in its first year of implementation in Italy. It investigates the short-term variations of the average length of stay, the case flow, the occupancy rate, and the rate of readmission. Results show that hospitals have responded to the new prospective payment system by significantly reducing the average length of stay. This reduction, however, has not been matched by a greater number of inpatient hospital episodes, leading to a decreasing occupancy ratio pattern.
The Importance of Prosody in a Proper English Pronunciation for EFL Learners

The present article deals with the acquisition of Received Pronunciation (RP) English prosodic features namely wordsentence stress and intonation by Algerian learners of English as a foreign language. It aims at identifying ways of helping learners achieve a good pronunciation through the mastery of these features. The work was based on data retrieved from the observation and study of 30 third year students of English at the University of Oran as they majored in BA English. The corpus was collected through recordings which were carried out on two phases, prior and after being taught the prosodic features and their rules in order to evaluate their pronunciation accuracy. Results were analyzed acoustically with Praat software (Boersma, 2001) and show that by placing stress and intonation patterns in the right place in words and utterances, 20% of students achieved nearly a prefect pronunciation, 46% clear and 33% understandable, suggesting that the aforementioned features play an important role in pronunciation accuracy and speech intelligibility. Based on these results the current study makes recommendations for prioritizing supra-segmental features in pronunciation teaching classes, and suggests real and computerized environments to assess students’ progress (Hardison, 2004).
PLASMON RESONANCE ENHANCED MULTIPHOTON EMISSION FROM METALLIC CATHODE

We investigate the use of surface plasmonic nanostructures in increasing the efficiency of copper photocathodes for high-brightness electron sources. A nanohole structure was fabricated, using focused ion beam milling, such that it exhibited a strong plasmonic response near 800 nm. The reflectivity of the nanostructured surface was significantly lower compared to that of a flat surface, due to plasmonic resonance effects. A previous experiment [1] demonstrated an increase in charge yield by over a factor of 100, using a slightly off-resonance structure. With this new nearresonant structure, the reflectivity is expected to be even lower and the charge yield enhancement factor even larger. INTRODUCTION Recently, progress has been made in using metal photocathodes to generate high brightness electron beams, as an alternative to using semiconductor cathodes [2]. Because of their prompt response, low vacuum requirements, robustness, and fabrication simplicity, metals are typically the preferred choice in high peak brightness photoguns [1]. However, metal cathodes are not without disadvantages, a significant one being that they are often highly reflective at optical and infrared wavelengths and in general offer lower QE than semiconductors [3]. We, at the UCLA Pegasus laboratory, have demonstrated the generation of electron beams through multiphoton emission using a copper photocathode with an 800 nm Ti:Sa incident laser [2]. At 800 nm, copper is ~95% reflective, and thus, most of the photons from the incident laser are wasted and do not participate in the multiphoton emission process [3]. To increase the efficiency of the cathode, an obvious solution would be to increase the absorptivity of copper at 800 nm. One way we propose to do this is to pattern a cathode surface with nanoscale features that take advantage of plasmonic effects. THEORY Recent advances in nano-plasmonics have enabled fine control of optical properties of metal surfaces by patterning them with sub-wavelength or nanoscale features [4]. Nanoscale features of the correct geometry can lead to surface plasmon resonance, or a resonant interaction between surface plasmons and incident photons [5]. This produces two major effects [4]: 1) significant reductions in metal reflectivity due to photons being absorbed by surface plasmons, and 2) large enhancements of local optical field intensity due to photon energy being stored in the surface plasmons. These nano-plasmonic phenomena could be applied to optimize the optical response of a cathode and obtain high efficiencies in photoemission charge yield. Previously, we reported the first experimental results of the generation of relativistic electron beams from a nanostructured photocathode in a high gradient RF gun [2]. The aforementioned nanohole array structure exhibited a resonant response at ~810 nm. At 800 nm, the reflectivity of the nanopattern was ~60%, still producing a >100-fold enhancement in the multiphoton charge yield. With a nanopattern that is resonant closer to 800 nm, the charge yield can be expected to be greater.
Attention and CNN empowered BiDAF for SQuAD

The SQuAD dataset introduced in [1] formulate the Question and Answer problem as a span prediction problem with adversarially written unanswerable questions. In this project I aim to • Establish a better baseline by adding character-level embedding •Creatively use Encoder Block inspired from [2] • Experiment with a multi-headed BiDAF attention layer I have shown that by combining CNN-based and RNN-based encoders, the model performs better than those encoders alone, and significantly better than the baseline model. On the other hand multi-headed BiDAF attention models perform worse due to overfitting and other fundamental model restrictions.
Digital Repository Universitas Jember

Indicator of coffee resistance to leaf rust attack (Hemileia vastatrix) is needed to select superior coffee plants resistant to biotic stress. This study aimed to determine the relationship between the content of secondary metabolites and the intensity of leaf rust attack, therefore, it becomes a reference in the selection of future coffee plants. The experimental design used was a completely randomized design (CRD) with five coffee clones, including Komasti Maragogik, Usda, Andong sari, and HDT (Hybrido de Timor) as treatment. Each treatment consisted of 3 replications, and each replication consisted of 2 sample plants. Observations were made by observing the intensity of the attack, and plant metabolites such as phenolic content, flavonoids content, and antioxidant activity observed when the leaves had been attacked by H. vastatrix . The correlation analysis between leaf rust attack intensity and the plant metabolites showed a relationship between each observation variable. Flavonoid content in certain conditions can be used as an indicator to get Arabica coffee plants that are resistant to the attack of leaf rust. Received: 25th December 2018; Revised: 16th May 2019; Accepted: 21st May 2019
Techniques of Test Case Prioritization

The testing is a technique which will test the system software to detect faults. In today's time, various versions of the software are launched time to time which leads to the improvement in the software. The Regression testing is a type of testing which is applied to test the changes made in the software. In the regression testing, technique of test case prioritization is applied to detect maximum number of errors from the software. In this paper, BPEL technique of regression testing is reviewed which detects maximum number of the errors from the software.
Frequency of systemic diseases in chronic generalized periodontitis in North Karnataka population

Introduction and Objectives: Periodontitis has been associated with a number of systemic diseases such as diabetes, cardiovascular diseases, respiratory diseases, bone disorders, kidney disease and drug allergies. This study aimed to determine whether there is a significant difference in the prevalence of systemic diseases in patients with periodontal disease and patients without periodontal disease. Materials and Methods: 600 patients attending the outpatient department P.M. N.M dental college and Hospital, Bagalkot were included for the study. These patients were divided into two groups; Group I- patients with periodontal disease (cases) and Group II- patients without periodontal disease (controls). Prevalence of systemic diseases was evaluated using self-reported health questionnaire. The periodontal conditions were assessed by using Russell’s Periodontal Index (PI). Results: Patients with periodontal disease had a higher prevalence of systemic compared to the patients without periodontal disease. Further more prevalence of systemic diseases was more common in middle and elder age group. Hypertension, Diabetes Mellitus, Drug allergies, CVS disorders, Cancer and Radiotherapy were the most prevalent and statistically significant among cases and controls. Conclusion: Due to the high frequency of medical conditions, thorough evaluation of patients medical history should be a mandatory first step in the diagnosis and management of dental diseases. Keywords: Systemic diseases, Periodontal disease, Self-reported health questionnaire.
Accuracy Analysis of 3 T 1 R Fully-Parallel Robots

Parallel robots with Shoenflies motions (also called 3T1R parallel robots) are increasingly being used in applications where precision is of great importance. Clearly, methods for evaluating the accuracy of these robots are therefore needed. The accuracy of well designed, manufactured, and calibrated parallel robots depends mostly on the input errors (sensor and control errors). Dexterity and other similar performance indices have often been used to evaluate indirectly the influence of input errors. However, industry needs a precise knowledge of the maximum orientation and position output errors at a given nominal configuration. An interval analysis method that can be adapted for this purpose has been proposed in the literature, but gives no kinematic insight into the problem of optimal design. In this paper, a simpler method is proposed based on a detailed error analysis of 3T1R fully-parallel robots that brings valuable understanding of the problem of error amplification.
The Importance of Excluding Unrealistic Alternatives in Choice Experiment Designs ∗

The purpose of this paper is to clarify the issue of whether and to what degree we should exclude unrealistic alternatives in choice experiment surveys. We conduct the choice experiment survey about the forest zoning plan with three types of profile designs, in which the number of the unrealistic alternatives excluded are different, and compare the performances of the three designs, through the estimation of random-parameters logit (RPL) models. As a result, we conclude that it is important to exclude unrealistic alternatives in choice experiment designs. Also, we recommend strictly imposing cost-feasible conditions on profile designs.
Bacterial Isolates from Tracheal Aspirates and their Anti-microbial Susceptibility in Mechanically-Ventilated Children with Pneumonia Admitted to an Urban Critical Care Ward

Background and Aims: Data on Bacterial isolates from tracheal aspirates in children with severe pneumonia requiring intubation and mechanical ventilation especially in developing countries are very limited. We examined the microbial spectrum of bacteria isolated from tracheal aspirate of those children. The antibiotic susceptibility profiles of those bacteria were also examined. Methods: We evaluated the data of all mechanically ventilated children aged 0-59 months admitted to Intensive Care Unit (ICU) of “Dhaka Hospital” of the International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) between August 2009 and July 2013 having their tracheal aspirate culture done. Data were extracted from electronic medical records of the Dhaka Hospital. Results: Among 836 admitted pneumonia children in the ICU, we identified 35 children who fulfilled the inclusion criteria. Among them 34 (97%) had positive bacterial growths: Klebseilla species in 14 (40%), Escherichia coli in 11 (31%), Acinetobacter in 8 (23%) and Streptococcus species in 8 (23%). Additionally, Enterococcus, Staphylococcus aureus, Pseudominas and Proteus species were identified in 6 (17%), 4 (11%), and 2 (6%) of the children respectively. The susceptibility of the gram-negatives, except Klebseilla, to ampicillin, cotrimoxazole, gentamycin, ciprofloxacin, azithromycin, and ceftriaxone ranged from 0- 54%, while that for ceftazidime and amikacin ranged from 12-80%. The sensitivity of Klebseilla to these antibiotics ranged from 0-100%. Conclusions: Our data suggests that gram-negative bacteria, Klebseilla followed by Escherichia coli, and Acenetobacter are the predominant bacteria associated with severe pneumonia in ventilated children. The increased number of infections caused by Gram-negative bacteria is being accompanied by rising rates of multi-drug resistance which underscores the importance of aggressive antimicrobial therapy in the management of such children. Bangladesh Crit Care J September 2014; 2 (2): 60-64
CHARACTERIZATION OF AIR TRAFFIC CONTROLLERS ’ VISUAL SEARCH PATTERNS AND CONTROL STRATEGIES

Due to the high cost of training new air traffic controllers, we need less costly ways to effectively train them, particularly in the light of the bubble of new controllers expected to enter the FAA workforce in the near future. If we can better understand how veteran controllers visually search and control multiple aircraft under different situations, then we could improve the training procedures to reduce the time and cost for training new controllers. An experiment was conducted to characterize and classify veteran controllers’ visual search patterns and aircraft control strategies using a high-fidelity simulator. Eye tracking data and verbal responses were analyzed together to discover dominant strategies. The results show promise on using veteran controllers’ strategies to support training of novices, especially FAA Academy candidates.
Nutrition among older people with dementia

The Alzheimer's Disease International estimated that year 2015 there are a total number of 46.8 million people afflicted by the dementia syndrome globally. As dementia disease proceeds, malnutrition and eating problems are more noticeable. The aim of this literature review was to discover the factors contributing to poor nutrition among old people with dementia and how nurses could improve it. The purpose is to present information for nurses to enhance their knowledge regarding nutritional and dietary interventions for older people with dementia. The author conducted a literature review that identified five articles for inclusion. The results showed that older people with dementia are at a greater risk of becoming malnourished. Caring for the clients with dementia could be a challenge for nurses sometimes, since dementia could influence the activities of daily living. Dementia could make it challenging for the clients to complete everyday tasks and hence, it is vital for nurses to have deep knowledge about dementia and nutrition. In order for nurses to correctly evaluate the nutritional status of the elderly, to make excellent care plans and nursing interventions, nurses need to understand the interaction between nutrition and older people with dementia. Keywords/tags (subjects) DementiaAlzheimer's – Malnutritionagingnursing Miscellaneous (Confidential information)
Expert Forecast on Emerging Psychosocial Risks Related to Occupational Safety and Health

This report is in cooperation with TNO Work and Employment and the European Agency for Safety and Health at Work. The expert forecast on emerging psychosocial risks was carried out by means of the Delphi method. The main emerging psychosocial risks revealed were related to new forms of employment contracts and job insecurity, the OSH risks for the ageing workforce, work intensification - high workload and work pressure, high emotional demands at work - including violence and bullying, and poor work-life balance. Literature reviews were used to explore these risks in terms of prevalence, health and safety outcomes, possible preventive measures and need for future research.
Understanding Blogs through the Lens of Readers' Comments

In order to keep their audience engaged, authors need to make sure that the blogs or articles they write cater to the taste of their audience and are understood by them. With the rapid proliferation of online blogging websites, the participation of readers by expressing their opinions and reviews has also increased in the form of comments on the blogs. These comments are valuable source for the authors to understand how their audience are perceiving their blogs. We believe that associating comments to the specific part of the blog they refer to will help authorin getting insights about parts of the blog which are being discussed and the questions or concerns that readers have about those parts. Moreover, categorizing these comments will further aid the author in imbibing the comments. In this work, we describe a method to associate comments to the specific parts of the blog and introduce a hierarchical way to categorize the comments as Suggestion, Agreement, Disagreement or Question.