Miracle-dz/UniFAR-FTUs huggingface dataset:
Please Scroll down for Article International Journal of Digital Earth Crowdsourcing Geographic Information for Disaster Response: a Research Frontier Crowdsourcing Geographic Information for Disaster Response: a Research Frontier

This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material. Geographic data and tools are essential in all aspects of emergency management: preparedness, response, recovery, and mitigation. Geographic information created by amateur citizens, often known as volunteered geographic information, has recently provided an interesting alternative to traditional authoritative information from mapping agencies and corporations, and several recent papers have provided the beginnings of a literature on the more fundamental issues raised by this new source. Data quality is a major concern, since volunteered information is asserted and carries none of the assurances that lead to trust in officially created data. During emergencies time is the essence, and the risks associated with volunteered information are often outweighed by the benefits of its use. An example is discussed using the four wildfires that impacted the Santa Barbara area in 2007Á2009, and lessons are drawn. 1. Introduction Recent disasters have drawn attention to the vulnerability of human populations and infrastructure, and the extremely high cost of recovering from the damage they have caused. In all of these cases impacts were severe, in damage, injury, and loss of life, and were spread over large areas. In all of these cases modern technology has brought reports and images to the almost immediate attention of much of the world's population, and in the Katrina case it was possible for millions around the world to watch the events as they unfolded in near-real time. Images captured from satellites have been used to create damage assessments, and digital maps have been used to direct supplies and to guide the recovery effort, in an increasingly important application of Digital Earth. Nevertheless it has been clear in all of these cases that the potential of such data, and of geospatial data and tools more generally, …
Improving Consumer Satisfaction with Addiction Treatment: An Analysis of Alumni Preferences

Objective. The primary objective of this investigation is to determine which individual and aggregate factors of residential addiction treatment centers are most significant influencers of alumni satisfaction. Design. Survey targeted alumni of residential addiction treatment facilities. Alumni were queried through a survey, which utilized Likert-scale matrices and binary response options: 379 respondents met the completion threshold. Alumni rated amenities and individual and group counseling factors; additionally, respondents provided feedback on two satisfaction proxies: cost worthiness and future recommendations. Descriptive and relational analyses were conducted, with the latter utilizing logistic regression models. Results. Individual factors' scores of group counseling, and overall aggregate group counseling score, are most enthusiastically positive. Group counseling is also the most significant influencer of satisfaction. Other significant influencers of satisfaction are met expectations for individual counseling and psychiatric care offerings. Conclusions. While individual counseling and facility amenities should not be ignored, group counseling may be the most significant influencer of alumni satisfaction. Long-term outcomes are not single-faceted; however, treatment providers should be encouraged to invest in high-quality group counseling offerings in order to best satisfy, and thereby empower, clients.
Becoming Consistent: Developmental Reductions in Intraindividual Variability in Reaction Time Are Related to White Matter Integrity

Cognitive development is known to involve improvements in accuracy, capacity, and processing speed. Less is known about the role of performance consistency, and there has been virtually no empirical examination of the neural underpinnings of within-person variability in development. In a sample of 92 healthy children and adolescents aged 8–19 years, we aimed to characterize age-related changes in trial-to-trial intraindividual variability (IIV) of reaction time (RT) and to test whether IIV is related to white matter (WM) integrity as indexed by diffusion tensor imaging. IIV was quantified as the SD of correct RTs in a speeded arrow flanker task, and Tract-Based Spatial Statistics was used to test relationships with diffusion characteristics. Large age-related reductions in IIV in both simple congruent trials and more complex incongruent trials were found. Independently of sex, age, and median RT (mRT), lower IIV was associated with higher fractional anisotropy and lower overall diffusivity. Effects were seen for IIV in one or both trial types in the corticospinal tract, the left superior longitudinal fasciculus, the uncinate fasciculus, the forceps minor, and in the genu and splenium of the corpus callosum. There were no significant associations between mRT and any of the diffusion indices. The findings support the proposition that developmental reductions in IIV reflect maturation of WM connectivity and highlight the importance of considering within-person variability in theories of cognitive development and its neurobiological foundation.
Evidence‐based treatment for gynoid lipodystrophy: A review of the recent literature

Gynoid lipodystrophy (GLD) is a structural, inflammatory, and biochemical disorder of the subcutaneous tissue causing alterations in the topography of the skin. Commonly known as “cellulite,” GLD affects up to 90% of women, practically in all stages of the life cycle, beginning in puberty. It is a clinical condition that considerably affects the patients’ quality of life. It is a frequent reason for consultation, although the patients resort to empirical, improvised, nonevidence‐based treatments which discourage and can be a source of frustration not only because of the lack of results but also due to the complications derived from those treatments. In this article, a panel of experts from different specialties involved in the management of this clinical skin disorder presents the results of a systematic literature search and of the consensus discussion of the evidence obtained from different treatments currently available. The analysis was divided into topical, systemic, noninvasive, and minimally invasive treatments.
Construction of pSPI12-cured Salmonella enterica serovar Pullorum and identification of IpaJ as an immune response modulator

ABSTRACT In Salmonella, plasmids participate in many pathways involved in virulence, metabolism, and antibiotic resistance. To investigate the function of the ipaJ gene in a multi-copy plasmid pSPI12 prevalent in Salmonella enterica serovar Pullorum (S. Pullorum), we established a method to eliminate the plasmid and constructed the plasmid-cured bacteria C79-13-ΔpSPI12 by using the suicide vector pDM4. Briefly, a 500 bp fragment ipaJU from pSPI12 was cloned into pDM4 and transformed into S. Pullorum C79-13 by conjugative transfer. After homologous recombination, the suicide vector was inserted into pSPI12 to produce pSPI12-pDM4-ipaJU. Induction of the expression of the sacB gene in the suicide vector killed the bacteria harbouring plasmid, while the progeny losing the plasmid survived in the plate with sucrose. The plasmid-cured strain showed extremely decreased ability to infect chicken macrophage HD11 cells and LMH hepatic epithelial cells compared to wild type strain and complementary strain carrying ipaJ. Additionally, IFN-γ mRNA levels were up-regulated in HD11 cells or chicken spleens infected by plasmid-cured strain, but no difference was detected in IL-4 among the three strains. Transforming ipaJ into S. Enteritidis also decreased expression of proinflammatory cytokines in infected macrophages or chicken spleens compared to wild type strain. These results suggest that the ipaJ gene in pSPI12 is involved in S. Pullorum infection and that IpaJ protein modulates immune response.
Learning in Auctions: Regret is Hard, Envy is Easy

An extensive body of recent work studies the welfare guarantees of simple and prevalent combinatorial auction formats, such as selling m items via simultaneous second price auctions (SiSPAs) [1], [2], [3]. These guarantees hold even when the auctions are repeatedly executed and the players use no-regret learning algorithms to choose their actions. Unfortunately, off-the-shelf no-regret learning algorithms for these auctions are computationally inefficient as the number of actions available to the players becomes exponential. We show that this obstacle is inevitable: there are no polynomial-time no-regret learning algorithms for SiSPAs, unless RP ⊇ NP, even when the bidders are unit-demand. Our lower bound raises the question of how good outcomes polynomially-bounded bidders may discover in such auctions. To answer this question, we propose a novel concept of learning in auctions, termed "no-envy learning. " This notion is founded upon Walrasian equilibrium, and we show that it is both efficiently implementable and results in approximately optimal welfare, even when the bidders have valuations from the broad class of fractionally subadditive (XOS) valuations (assuming demand oracle access to the valuations) or coverage valuations (even without demand oracles). No-envy learning outcomes are a relaxation of no-regret learning outcomes, which maintain their approximate welfare optimality while endowing them with computational tractability. Our positive and negative results extend to several auction formats that have been studied in the literature via the smoothness paradigm. Our positive results for XOS valuations are enabled by a novel Follow-The-Perturbed-Leader algorithm for settings where the number of experts and states of nature are both infinite, and the payoff function of the learner is non-linear. We show that this algorithm has applications outside of auction settings, establishing significant gains in a recent application of no-regret learning in security games. Our efficient learning result for coverage valuations is based on a novel use of convex rounding schemes and a reduction to online convex optimization.
Feeling the pulse of the Greek debt crisis: affect on the web of blame

ABSTRACT This article examines the affective content of Greek media representations of the debt crisis, from 2009 to 2012. We analyze the content of opinion pieces from journalists, experts and public intellectuals published in Greek newspapers, and identify their affective tone towards political actors and institutions. We focus on anger, fear and hope, and identify blame attribution frames, which underpin the public's trust and confidence in domestic and European Union institutions. This article contributes to the systematic understanding of the impact of the debt crisis as a traumatic event on public opinion, and considers its implications for attitudes towards European integration.
Clinical Correlates and Drug Resistance in HIV-Infected and -Uninfected Pulmonary Tuberculosis Patients in South India

Objectives To examine demographics, clinical correlates, sputum AFB (acid fast bacilli) smear grading DOTS (Directly Observed Therapy Short Course) uptake, and drug resistance in a cohort of newly-diagnosed, smear positive pulmonary tuberculosis (TB) patients with respect to HIV status at baseline, and compare smear conversion rates, side effects and mortality after two months. Design A prospective study among 54 HIV positive and 41 HIV negative pulmonary TB patients. Data were collected via face-to-face interviews, review of medical records, and lab tests. Results HIVTB co-infected patients, though more symptomatic at baseline, showed more improvement in their symptoms compared to HIV-uninfected TB patients at follow-up. The HIV co-infected group had more prevalent perceived side effects, and sputum smear positivity was marginally higher compared to the HIV negative group at follow-up. Mortality was higher among the HIV-infected group. Both groups had high rates of resistance to first-line anti-tubercular drugs, particularly isoniazid. There was no significant difference in the drug resistance patterns between the groups. Conclusions Prompt initiation and provision of daily regimens of ATT (Anti-Tubercular treatment) along with ART (Anti-Retroviral treatment) via ART centers is urgently needed in India. As resistance to ART and/or ATT is directly linked to medication non-adherence, the use of counseling, regular reinforcement, early detection and appropriate intervention strategies to tackle this complex issue could help prevent premature mortality and development of resistance in HIV-TB co-infected patients. The high rate of isoniazid resistance might preclude its use in India as prophylaxis for latent TB in HIV infected persons as per the World Health Organization (WHO) guideline.
A bidirectional dual-bridge high-frequency isolated resonant DC/DC converter

The steady-state of the dual-bridge dc/dc resonant converter with a generalized series-parallel resonant tank is analyzed with the Fourier Series Analysis Approach in this paper. Switch stresses, soft-switching conditions can be identified from the analysis results. With a LCL type dual-bridge resonant converter as an example, the analysis results is applied to the converter design. Evaluation of the accuracy of the analysis and design process were performed through digital simulation and experimental test.
Reputational Priors Magnify Striatal Responses to Violations of Trust

Humans learn to trust each other by evaluating the outcomes of repeated interpersonal interactions. However, available prior information on the reputation of traders may alter the way outcomes affect learning. Our functional magnetic resonance imaging study is the first to allow the direct comparison of interaction-based and prior-based learning. Twenty participants played repeated trust games with anonymous counterparts. We manipulated two experimental conditions: whether or not reputational priors were provided, and whether counterparts were generally trustworthy or untrustworthy. When no prior information is available our results are consistent with previous studies in showing that striatal activation patterns correlate with behaviorally estimated reinforcement learning measures. However, our study additionally shows that this correlation is disrupted when reputational priors on counterparts are provided. Indeed participants continue to rely on priors even when experience sheds doubt on their accuracy. Notably, violations of trust from a cooperative counterpart elicited stronger caudate deactivations when priors were available than when they were not. However, tolerance to such violations appeared to be mediated by prior-enhanced connectivity between the caudate nucleus and ventrolateral prefrontal cortex, which anticorrelated with retaliation rates. Moreover, on top of affecting learning mechanisms, priors also clearly oriented initial decisions to trust, reflected in medial prefrontal cortex activity.
The fate of radiating black holes in noncommutative geometry

We investigate the behavior of a radiating Schwarzschild black hole toy-model in a 2D noncommutative spacetime. It is shown that coordinate noncommutativity leads to: i) the existence of a minimal non-zero mass to which black hole can shrink; ii) a finite maximum temperature that the black hole can reach before cooling down to absolute zero; iii) the absence of any curvature singularity. The proposed scenario offers a possible solution to conventional difficulties when describing terminal phase of black hole evaporation.
Uninformative Contexts Support Word Learning for High-Skill Spellers

The current study investigated how high-skill spellers and low-skill spellers incidentally learn words during reading. The purpose of the study was to determine whether readers can use uninformative contexts to support word learning after forming a lexical representation for a novel word, consistent with instance-based resonance processes. Previous research has found that uninformative contexts damage word learning; however, there may have been insufficient exposure to informative contexts (only one) prior to exposure to uninformative contexts (Webb, 2007; Webb, 2008). In Experiment 1, participants read sentences with one novel word (i.e., blaph, clurge) embedded in them in three different conditions: Informative (six informative contexts to support word learning), Mixed (three informative contexts followed by three uninformative contexts), and Uninformative (six uninformative contexts). Experiment 2 added a new condition with only three informative contexts to further clarify the conclusions of Experiment 1. Results indicated that uninformative contexts can support word learning, but only for high-skill spellers. Further, when participants learned the spelling of the novel word, they were more likely to learn the meaning of that word. This effect was much larger for high-skill spellers than for low-skill spellers. Results are consistent with the Lexical Quality Hypothesis (LQH) in that high-skill spellers form stronger orthographic representations which support word learning (Perfetti, 2007). Results also support an instance-based resonance process of word learning in that prior informative contexts can be reactivated to support word learning in future contexts (Bolger, Balass, Landen, & Perfetti, 2008; Balass, Nelson, & Perfetti, 2010; Reichle & Perfetti, 2003).
The Relationship between Portuguese Adolescent Perception of Parental Styles, Social Support, and School Behaviour

The present article describes preliminary results of a study that aims to analyse the relationship among Portuguese adolescent perception of parental styles, social support received from family and peers and their school behaviour. Participants were 537 adolescents aged between 14 and 16. The “Parental Author- ity Questionnaire”, the “Perceived Social Support-Friends Scale” and “Perceived Social Support-Family Scale” were used to measure adolescent perceptions. Overall, Portuguese adolescents perceive their parents as using predominantly a democratic parental style. Associations between school behaviour and parental styles show that “well-behaved” adolescents perceive their parents as less permissive. On the other hand, adolescents who misbehave perceive their parents as more permissive and authoritarian. As regards the relationship between perceived school behaviour and social support, adolescents recognise receiving greater support from peers than from family, and adolescents who “often behave badly” are those who refer to receiving less social support, either from the family or peers.
Fuzzy based analysis method of high-density surface electromyography maps for physical training assessment

As sport becomes more competitive, the importance of physical training assessment increases. This paper proposes a new method based on fuzzy analysis techniques for comparing images of muscle activity attained by employing high-density surface electromyography (sEMG). Along with other evaluation techniques, the proposed method could be useful to monitor the evolution of sportsmen's physical training. High-density sEMG maps were generated from sEMG signals acquired from the vastus medialis muscle of the right leg of healthy subjects. The fuzzy logic assessment method has two input variables: the muscle activation area and the mean intensity of muscle activity. Results are displayed on a graphical interface and the method was implemented as a modular, distributed application. The obtained results highlight important differences among sEMG images without pointing out the underlying physiological mechanisms. Future investigations regarding the applicability of the proposed method for long training cycles could provide crucial information about the changes in muscle activity that occur with physical exercise.
OWL: cooperative thread array aware scheduling techniques for improving GPGPU performance

Emerging GPGPU architectures, along with programming models like CUDA and OpenCL, offer a cost-effective platform for many applications by providing high thread level parallelism at lower energy budgets. Unfortunately, for many general-purpose applications, available hardware resources of a GPGPU are not efficiently utilized, leading to lost opportunity in improving performance. A major cause of this is the inefficiency of current warp scheduling policies in tolerating long memory latencies. In this paper, we identify that the scheduling decisions made by such policies are agnostic to thread-block, or cooperative thread array (CTA), behavior, and as a result inefficient. We present a coordinated CTA-aware scheduling policy that utilizes four schemes to minimize the impact of long memory latencies. The first two schemes, CTA-aware two-level warp scheduling and locality aware warp scheduling, enhance per-core performance by effectively reducing cache contention and improving latency hiding capability. The third scheme, bank-level parallelism aware warp scheduling, improves overall GPGPU performance by enhancing DRAM bank-level parallelism. The fourth scheme employs opportunistic memory-side prefetching to further enhance performance by taking advantage of open DRAM rows. Evaluations on a 28-core GPGPU platform with highly memory-intensive applications indicate that our proposed mechanism can provide 33% average performance improvement compared to the commonly-employed round-robin warp scheduling policy.
Stability of Synchronization Clusters and Seizurability in Temporal Lobe Epilepsy

Purpose Identification of critical areas in presurgical evaluations of patients with temporal lobe epilepsy is the most important step prior to resection. According to the “epileptic focus model”, localization of seizure onset zones is the main task to be accomplished. Nevertheless, a significant minority of epileptic patients continue to experience seizures after surgery (even when the focus is correctly located), an observation that is difficult to explain under this approach. However, if attention is shifted from a specific cortical location toward the network properties themselves, then the epileptic network model does allow us to explain unsuccessful surgical outcomes. Methods The intraoperative electrocorticography records of 20 patients with temporal lobe epilepsy were analyzed in search of interictal synchronization clusters. Synchronization was analyzed, and the stability of highly synchronized areas was quantified. Surrogate data were constructed and used to statistically validate the results. Our results show the existence of highly localized and stable synchronization areas in both the lateral and the mesial areas of the temporal lobe ipsilateral to the clinical seizures. Synchronization areas seem to play a central role in the capacity of the epileptic network to generate clinical seizures. Resection of stable synchronization areas is associated with elimination of seizures; nonresection of synchronization clusters is associated with the persistence of seizures after surgery. Discussion We suggest that synchronization clusters and their stability play a central role in the epileptic network, favoring seizure onset and propagation. We further speculate that the stability distribution of these synchronization areas would differentiate normal from pathologic cases.