Miracle-dz/UniFAR-FTUs huggingface dataset:
A Color Classification Algorithm for Color Images

We describe a color classification algorithm that partitions color image data into a set of uniform color regions. The algorithm uses a recursive method to detect clusters of color data. The algorithm can be divided into two main steps. First, we map the device dependent image data into an approximately uniform perceptual color space. Second, we apply a recursive histogram analysis to the data represented in this perceptually uniform space. The histogram analysis is designed to identify the spatial subregions within the image that correspond to a uniform color. Once a region has been identified, the corresponding data are removed and the histogram analysis is repeated on the remaining data set. The performance of the algorithm is discussed with respect to a test image.
Validation of sleep bruxism questionnaire based on the diagnostic criteria of the american academy of sleep medicine

Sleep bruxism could be an etiology of temporomandibular disorders (TMD). Patients with sleep bruxism are more likely to experience jaw pain and limitation of jaw movement than people who do not have sleep bruxism. One common way to diagnose sleep bruxism is through the use of a questionnaire, along with a clinical examination, electromyography, and polysomnography. A sleep bruxism questionnaire from the American Academy of Sleep Medicine (2005) diagnostic criteria has been used worldwide, but it has never been validated in Indonesia. To analyze the reliability and validity of this questionnaire in Indonesian, the original English version of the questionnaire was translated using the forward–backward technique, pilot tested in 30 subjects, and then applied to 92 subjects between 20 and 50 years of age. The internal consistency of the questionnaire was evaluated using Cronbach’s alpha (α) coefficient. The intra class correlation (ICC) coefficients were also evaluated. The validity was analyzed by convergent validity, which was done by analyzing sleep bruxism and TMD. Cronbach’s alpha showed moderate result (0.515), and the ICC test– retest value was above 0.808. A validity analysis using coefficient contingency correlation showed a significantly different (p<0.05) and weak correlation value (0.362). A positive correlation value with a weak correlation showed that sleep bruxism does not always cause TMD. The Indonesian version of the sleep bruxism questionnaire is reliable and valid for the assessment of sleep bruxism. Clinical article (J Int Dent Med Res 2017; 10(Special Issue): pp. 559-563)
EVALUATION OF AUGMENTED REALITY TECHNOLOGY ACCEPTANCE BY IRANIAN TOURISTS

Tourism industry has a significant impact on the economy of many countries. Providing enjoyable tourism experience is an important issue in this industry. Information technologies can boost on-trip tourists’ experience. Augmented Reality (AR) technology is among technologies with great potential in this industry. But technologies can only enhace users’ experience if they are accepted and adopted by the users. There are limited studies that analyze the social acceptance of augmented tourism experience.This paper examines the acceptance of AR technology based on the experiences of tourists in Tehran, Iran. We find how perceived usefulness and the perceived ease of use have impct on the intention to use AR technology. The results of this study can provide valuable information for developers and designers of augmented tourism experience.
Aalborg Universitet Patients with non-operated traumatic primary or recurrent anterior shoulder dislocation have equally poor self-reported and measured shoulder function a cross-sectional study

Background: Patients with non-operated traumatic primary anterior shoulder dislocation (PASD) are assumed to have less shoulder impairment than patients with recurrent anterior shoulder dislocations (RASD). This may impact treatment decision strategy. The aim was to study whether patients with non-operated traumatic PASD have less shoulder impairment than those with RASD. Methods: In a cross-sectional study baseline data from patients with PASD and RASD in a randomised controlled trial of non-operative shoulder exercise treatment were used. Shoulder function was self-reported (Western Ontario Shoulder Instability (WOSI), Tampa Scale of Kinesiophobia (TSK), General Health (EQ-5D-VAS), Numeric Pain Rating Scale (NPRS)), and measured (Constant-Murley shoulder Score (CMS total), CMS Range of Motion (CMS-ROM, CMS – strength, proprioception, clinical tests). Results: In total, 56 patients (34 (28 men) with PASD and 22 (21 men) with RASD) (mean age 26 years) participated. WOSI total was 1064 and 1048, and TSK above 37 (indicating high re-injury fear) was present in 33 (97%) and 21 (96%) of the groups with PASD and RASD, with no group difference. CMS total (66.4 and 70.4), CMS-ROM (28.7 and 31.5), CMS-strength (injured shoulder: 7.6 kg and 9.1 kg), proprioception and clinical tests were the same. Furthermore, 26 (76%) with PASD and 13 (59%) with RASD reported not to have received non-operative shoulder treatment. Conclusions: Non-operated patients with PASD and self-reported shoulder trouble three-six weeks after initial injury do not have less shoulder impairment (self-reportedly or objectively measured) than non-operated patients RASD and self-reported shoulder trouble three-six weeks after their latest shoulder dislocation event.
periodic systems program : electronic structure calculations for CRYSTAL ab initio Parallel implementation of the

References pa.2010. 0563.full. html#ref-list-1 http://rspa.royalsocietypublishing. org/content/early/2011/04/06/rs This article cites 16 articles P<P Published online 6 April 2011 in advance of the print journal. Subject collections (26 articles) computational chemistry  (192 articles) materials science  Articles on similar topics can be found in the following collections Email alerting service here the box at the top right-hand corner of the article or click Receive free email alerts when new articles cite this article sign up in
Immunomodulatory Activity of Chlorophytum borivilianum Sant

Chlorophytum borivilianum Santapau & Fernandes (Liliaceae) is a very popular herb in traditional Indian medicine and constitute a group of herbs used as ‘Rasayan’ or adaptogen. Ethanolic extract of the roots and its sapogenin were evaluated for their immunomodulatory activity. Effect of azathioprineinduced myelosuppresion and administration of extracts on hematological and serological parameters was determined. Administration of extracts greatly improved survival against Candida albicans infection. An increase in delayed-type hypersensitivity response (DTH), % neutrophil adhesion and in vivo phagocytosis by carbon clearance method was observed after treatment with extracts. Immunostimulant activity of ethanolic extract was more pronounced as compared to sapogenins. The results, thus justifies the traditional use of C. borivilianum as a rasayana drug.
Effect of the Sampurna Hriday Shuddhikaran (SHS) model in heart failure patients in India: a prospective study.

Background and Objectives: Chronic heart failure (CHF) is an increasingly widespread, costly and deadly disease, frequently named as an epidemic of the 21 century. Herbal treatments may provide promising & beneficial treatment for heart failure. But unfortunately there is no promising report that shows herbal treatment is effective treatment for chronic heart failure. In that context we planned present study. The objective of the study was to evaluate the effect of the herbal procedure Sampurna Hriday Shuddhikaran (SHS) model in improving the left ventricular (LV) structure & function and exercise tolerance capacity in patients with heart failure. Methods: 133 patients (107 male & 26 Female) were selected for study. A prospective interventional study with novel noninvasive intervention SHS consist of the 4 pronged interventions of Snehan, Swedan, Hrid Dhara and Basti was used in each patient who received twice daily sessions of 90 mins each for 6 consecutive days. Preintervention 2 D echo & 6 minute walk test in meters were done on first day of admission. Postintervention 2 D echo & 6 MWT were done after 30 days and 6 days respectively. Results: Preintervention mean Ejection fractions was 39 ±, 14.6 & after intervention ejection fraction was 45 ±13.6. This difference was found to be highly significant (p<0.001). Preintervention Interventricular septum (IVS) was 9.2 ±2.8 & Post intervention Research Article British Journal of Medicine & Medical Research, 4(1): 564-571, 2014 565 IVS was 9.7 ±3 (p<0.05). Preintervention mean of 6 MWT in meters was 395 ±93.3 & after intervention 510 ±123.3 found to be highly significant (p<0.001). Conclusion: Herbal treatment procedure SHS is associated with improvements in ejection fraction, myocardial thickness and exercise tolerance.
Practice of Epidemiology Reliability of Self-reported Ancestry among Siblings : Implications for Genetic Association Studies

This study investigated the reliability of self-reported ancestry by comparing the interview responses of probands and their siblings. A total of 546 sibling pairs were ascertained in a family-based study of susceptibility genes for Parkinson’s disease and asked to identify maternal and paternal countries of origin. Probands were recruited prospectively from the Department of Neurology of the Mayo Clinic in Rochester, Minnesota, from June 1, 1996, through May 31, 2005. Probands resided within Minnesota or one of the four surrounding states (Wisconsin, Iowa, South Dakota, North Dakota). Only 49 percent of these sibling pairs, primarily Caucasian, agreed completely on the countries of origin of both parents. The agreement increased to 68 percent when named countries were postcoded into six population genetic clusters (as previously defined by microsatellite markers). Self-reported ancestry may not be a reliable method to reduce the possible impact of population stratification in genetic association studies of outbred populations, such as in the United States.
Bachelor’s Thesis Brain Drain vs Brain Gain: How can Brain Drain in Kenya be Re- versed to Brain Gain?

Kenya is considered to be among many developing countries, where highly skilled people are migrating to developed countries to make a fortune. For this reason, there was a need to look at the situation in Kenya. Therefore, a study based on an exploratory research was carried out, where seven Kenyan students in German Universities participated. The aim of the study was to provide the first insights on the recent debate of brain drain and brain gain in Kenya in terms of what could be done to reverse brain drain into brain gain. For a broader understanding of migration and how this relates to development, the concepts of brain drain and brain gain have been introduced. Some of the factors that contribute to brain drain in Kenya as mentioned by the respondents include, cost of tertiary education and factors related to demand and supply for labour, while technological advancement and the availability of research and learning materials in developed countries play a role in attracting Kenyan students abroad. However, Kenyan emigrants are considered to contribute in poverty reduction through sending money (remittances) home to their family members and friends, to finance basic consumption, education, acquired healthcare services and micro enterprises. Also, remittances are a source of foreign exchange currency that finances the imports of goods and services in Kenya. According to the respondents, there is a need for the government of Kenya to intervene in higher education and in the labour market, for instance, through reduction of tuition fee, providing adequate learning materials and improving security standards in learning institutions, while in the labour market, the government could create jobs, increase wages, and enable Kenyans to develop their careers. These are some of the measures that could reverse the trend of brain drain to brain gain in Kenya. Table of
2 Our Approach 2 . 1 Speed Consistency in Training Neural Networks : The Law

We explain that the difficulties of training deep neural networks come from a syndrome of three consistency issues. This paper describes our efforts in their analysis and treatment. The first issue is the training speed inconsistency in different layers. We propose to address it with an intuitive, simple-to-implement, low footprint second-order method. The second issue is the scale inconsistency between the layer inputs and the layer residuals. We explain how second-order information provides favorable convenience in removing this roadblock. The third and most challenging issue is the inconsistency in residual propagation. Based on the fundamental theorem of linear algebra, we provide a mathematical characterization of the famous vanishing gradient problem. Thus, an important design principle for future optimization and neural network design is derived. We conclude this paper with the construction of a novel contractive neural network.
Does Hospital Reputation Influence the Choice of Hospital?

A number of recent empirical studies document significant effects of in-patient care quality indicators on the choice of hospital. These studies use either objective quality indicators based on quantitative figures, or if subjective reputation scores are used, scores based on the opinion of hospital market insiders. We contribute to the current debate by using a subjective reputation score resorting to patient perceptions and examine its impact on the choice of hospital of patients undergoing a coronary artery bypass graft (CABG) in Germany. Our results show that 76% of the patients value hospital reputation positively when choosing a hospital. Moreover, we find evidence for a trade-off between hospital reputation and travel time, i.e. a significant share of patients is willing to accept additional travel time to get a treatment in a hospital with better reputation. The average marginal effect for hospital reputation confirms this finding, since the magnitude of the effect strengthens for higher thresholds of travel time. The results are robust for different degrees of co-morbidities and admission status.
Aalborg Universitet A Tractable Model of the LTE Access Reservation Procedure for Machine-Type Communications

A canonical scenario in Machine-Type Communications (MTC) is the one featuring a large number of devices, each of them with sporadic traffic. Hence, the number of served devices in a single LTE cell is not determined by the available aggregate rate, but rather by the limitations of the LTE access reservation protocol. Specifically, the limited number of contention preambles and the limited amount of uplink grants per random access response are crucial to consider when dimensioning LTE networks for MTC. We propose a low-complexity model of LTE’s access reservation protocol that encompasses these two limitations and allows us to evaluate the outage probability at click-speed. The model is based chiefly on closed-form expressions, except for the part with the feedback impact of retransmissions, which is determined by solving a fixed point equation. Our model overcomes the incompleteness of the existing models that are focusing solely on the preamble collisions. A comparison with the simulated LTE access reservation procedure that follows the 3GPP specifications, confirms that our model provides an accurate estimation of the system outage event and the number of supported MTC devices.
State Fragility as a Wicked Problem

FeatuReS | 85 How we conceive of the condition of state fragility is critical to our ability to fashion effective strategies in response. To date, our efforts to define, categorize, measure, interpret, and predict state fragility have been at best partial successes. As with many important political concepts, state fragility is maddeningly difficult to pin down, all the more so because on the surface it appears to be so self-evident (and solvable) a syndrome. In reality, the notion of state fragility constitutes a complex cocktail of causes and effects, a syndrome that has proven largely impervious to quick, template-driven external solutions. This article seeks to contribute to understanding the policy implications of state fragility by advancing three arguments. First, it argues for the utility of viewing state fragility through the lens of “wicked” and “tame” problems, a notion first developed by systems analysts. Second, it proposes that we categorize and rank-order fragile states not only by degree of fragility—though that remains an important task—but also by types of state fragility and degrees of threat they pose in order to help guide policymakers to appropriate responses. Third, it proposes closer integration of two analytic enterprises—the state-building literature and the study of political dynamics of weak states—that have generally constituted separate conversations. It argues that the most important analytic task is to determine the level of political capacity and will on the part of leaders in fragile states to address their government’s fragility. Governments that are willing but not able to address their fragility constitute a tame problem amenable to conventional state-building assistance— though still a potential problem if that new-found capacity is devoted to abusive behavior against its own citizens. But governments that are unwilling to strengthen their own capacity—a seemingly counterintuitive claim but one substantiated by a growing body of research on “shadow states” and “warlord states”—are best understood as wicked problems, which will be impervious to conventional state-building assistance. State Fragility as a Wicked Problem
Remote Interaction in Web-Based Medical Visual Application

In this paper we present a novel integration of four remote collaboration modalities into an existing web-based medical data visualization framework: (1) visualization data sharing, (2) camera view sharing, (3) data annotation sharing and (4) chat. The integration of remote collaboration modalities was done for two reasons: for getting the second opinion on diagnosis or for getting a diagnosis from the remote medical specialist. We present an integration of these modalities and a preliminary evaluation by the medical expert. In conclusion we show that we are on the correct track of integrating collaboration modalities into the visualization framework.
SlNCED 1 and SlCYP 707 A 2 : key genes involved in ABA metabolism during tomato fruit ripening

Abscisic acid (ABA) plays an important role in fruit development and ripening. Here, three NCED genes encoding 9-cis-epoxycarotenoid dioxygenase (NCED, a key enzyme in the ABA biosynthetic pathway) and three CYP707A genes encoding ABA 8′-hydroxylase (a key enzyme in the oxidative catabolism of ABA) were identified in tomato fruit by tobacco rattle virus-induced gene silencing (VIGS). Quantitative real-time PCR showed that VIGS-treated tomato fruits had significant reductions in target gene transcripts. In SlNCED1-RNAi-treated fruits, ripening slowed down, and the entire fruit turned to orange instead of red as in the control. In comparison, the downregulation of SlCYP707A2 expression in SlCYP707A2-silenced fruit could promote ripening; for example, colouring was quicker than in the control. Silencing SlNCED2/3 or SlCYP707A1/3 made no significant difference to fruit ripening comparing RNAi-treated fruits with control fruits. ABA accumulation and SlNCED1transcript levels in the SlNCED1-RNAi-treated fruit were downregulated to 21% and 19% of those in control fruit, respectively, but upregulated in SlCYP707A2-RNAi-treated fruit. Silencing SlNCED1 or SlCYP707A2 by VIGS significantly altered the transcripts of a set of both ABA-responsive and ripening-related genes, including ABA-signalling genes (PYL1, PP2C1, and SnRK2.2), lycopene-synthesis genes (SlBcyc, SlPSY1 and SlPDS), and cell wall-degrading genes (SlPG1, SlEXP, and SlXET) during ripening. These data indicate that SlNCED1 and SlCYP707A2 are key genes in the regulation of ABA synthesis and catabolism, and are involved in fruit ripening as positive and negative regulators, respectively.
Current therapies and pharmacy programs for obesity and diabetes

A growing body of Australian and international literature has reported the benefits and improved health outcomes resulting from various trials of pharmaceutical care, selfmanagement support and other cognitive services in chronic conditions such as diabetes and obesity. This review will focus on existing medications, the reasons why they might not work for some individuals and the potential for new ways to treat both diseases. It will also review novel ways to manage the diseases, including using community pharmacy as a site for intervention, once effective therapies are available.
Lifestyle counselling during pregnancy and offspring weight development until four years of age : follow-up study of a controlled trial Year : 2012

Background: Fetal conditions are known to be partly responsible for the child’s risk for obesity. Our pilot study aimed to determine the effect of gestational lifestyle counseling on the offspring weight gain until 4 years of age and to estimate power for future studies. Design and methods: First-time pregnant mothers participated in a controlled trial conducted in maternity health clinics during 2004 – 2006. The intervention included individual counseling on physical activity and diet, and an option to attend supervised group exercise sessions. The participant mothers (N = 109) received a follow-up questionnaire concerning 13 repeated growth measurements of their offspring. Response rate to the follow-up questionnaire was 66.1% (N = 72/109). Results: The increase of BMI z-score between 24–48 months was not significantly slower among the intervention group offspring (95% CI −0.025 to 0.009, p = 0.34) compared to control group. Z-scores for weight-for-length/height did not differ between groups when the period 0–48 months was analyzed (95% CI −0.010 to 0.014, p = 0.75). Conclusions: In this pilot study gestational lifestyle counseling did not significantly slow the weight gain of the offspring. Gestational intervention studies with at least 300 mothers per group are needed to confirm the possible effect on offspring’s risk for obesity. Trial registration: Current Controlled Trials ISRCTN21512277.
Quest-V : A Virtualized Multikernel for High-Confidence Embedded Systems

This paper outlines the design of ‘Quest-V’, which is implemented as a collection of separate kernels operating together as a distributed system on a chip. Quest-V uses virtualization techniques to isolate kernels and prevent loca l faults from affecting remote kernels. A virtual machine monitor for each kernel keeps track of extended page table mappings that control immutable memory access capabilities. This leads to a high-confidence multikernel approach, where failures of system sub-components do not render the entire system inoperable. Communication is supported between kernels using both inter-processor interrupts (IPIs) and shared memory regions for message passing. Similarly, device driver data structures are shar eable between kernels to avoid the need for complex I/O virtualization, or communication with a dedicated kernel responsible for I/O. In Quest-V, device interrupts are delivered directly to a kernel, rather than via a monitor that determines the destination. Apart from bootstrapping each kernel, handling faults and managing extended page tables, the monitors are not needed. This differs from conventional virtual machine systems in which a central monitor, or hypervisor, is responsible for scheduling and management of host resources amongst a set of guest kernels. In this paper we show how Quest-V can support online fault isolation and recovery techniques that are not possible with conventional systems. We also show how memory virtualization and I/O management do not add undue overheads to the overall system performance.