scholarly journals Burden of Antimicrobial Resistance: Compared to What?

2021 ◽  
Author(s):  
Marlieke E A de Kraker ◽  
Marc Lipsitch
Keyword(s):  
Antimicrobial Resistance ◽  
Cohort Studies ◽  
Relevant Information ◽  
Drug Resistant ◽  
Public Health Burden ◽  
The Public ◽  
Competing Events ◽  
Causal Approach ◽  
Biased Estimates ◽  
Selection Of

Abstract There has been an increased focus on the public health burden of antimicrobial resistance (AMR). This raises conceptual challenges such as determining how much harm multi-drug resistant organisms do compared to what, or how to establish the burden. In this viewpoint we will present a counterfactual framework and provide guidance to harmonize methodologies and optimize study quality. In AMR burden studies, two counterfactual approaches have been applied; the harm of drug-resistant infections relative to the harm of the same, drug-susceptible, infections (susceptible-infection counterfactual) and the total harm of drug-resistant infections relative to a situation where such infections were prevented (no-infection counterfactual). We propose to use an intervention-based causal approach to determine the most appropriate counterfactual. We show that intervention scenarios, species of interest, and types of infections influence the choice of counterfactual. We recommend using purpose-designed cohort studies to apply this counterfactual framework, whereby the selection of cohorts (patients with drug-resistant, drug-susceptible and no-infection) should be based on matching on time to infection through exposure density sampling to avoid biased estimates. Application of survival methods is preferred, considering competing events. In conclusion, we advocate to estimate the burden of AMR using the no-infection and susceptible-infection counterfactuals. The resulting numbers will provide policy-relevant information about the upper and lower bound of future interventions designed to control AMR. The counterfactuals should be applied in cohort studies, whereby selection of the unexposed cohorts should be based on exposure density sampling, applying methods avoiding time-dependent bias and confounding.

Spatial Representations as an Emergent Feature of Perceptual Processing

2010 ◽  
Vol 24 (3) ◽  
pp. 161-172 ◽  
Author(s):  
Edmund Wascher ◽  
C. Beste
Keyword(s):  
Common Ground ◽  
Event Related Potentials ◽  
Vertical Axis ◽  
Relevant Information ◽  
Sources Of Information ◽  
Integrated Network ◽  
Perceptual Maps ◽  
Emergent Feature ◽  
Related Potentials ◽  
Selection Of

Spatial selection of relevant information has been proposed to reflect an emergent feature of stimulus processing within an integrated network of perceptual areas. Stimulus-based and intention-based sources of information might converge in a common stage when spatial maps are generated. This approach appears to be inconsistent with the assumption of distinct mechanisms for stimulus-driven and top-down controlled attention. In two experiments, the common ground of stimulus-driven and intention-based attention was tested by means of event-related potentials (ERPs) in the human EEG. In both experiments, the processing of a single transient was compared to the selection of a physically comparable stimulus among distractors. While single transients evoked a spatially sensitive N1, the extraction of relevant information out of a more complex display was reflected in an N2pc. The high similarity of the spatial portion of these two components (Experiment 1), and the replication of this finding for the vertical axis (Experiment 2) indicate that these two ERP components might both reflect the spatial representation of relevant information as derived from the organization of perceptual maps, just at different points in time.

Citra Islam Moderat: Aksi Cyber PR dari PWNU Jawa Timur

2018 ◽  
Vol 1 (2) ◽  
pp. 212-232
Author(s):  
Sam Abede Pareno ◽  
M Rif’an Arif
Keyword(s):  
Text Structure ◽  
Online Media ◽  
Religious Traditions ◽  
The Public ◽  
Expert Opinions ◽  
Muslim Countries ◽  
Key Word ◽  
Nahdlatul Ulama ◽  
Muslim Majority ◽  
Selection Of

ABSTRACT Religious traditions in Indonesia are known to be very moderate and tolerant abroad is a reflection of the character of a great noble nation. Between religion, tradition and culture are able to perform compounds so as to create a genuine religious harmony. Because of this reality Indonesia is regarded as the largest Muslim majority country in the world that almost without conflict, in the midst of reality Muslim countries in the Middle East that impressed the dispute into the daily menu. However, the reality of Indonesia as a moderate nation is injured by the act of a group that is fond of terrorism and radicalism by riding Islamic religious teachings. Thus, this reversed religion is assumed as a source of cruelty.   It is through that phenomenon researcher, feel the need to examine the strategy of disseminating moderate Islam by Nahdlatul Ulama. The selection of this Islamic organization according to the authors due to its success in moderating Islam in Indonesia. In this study, the study using a qualitative approach or method as well as adopting the theory of Van Dijk discourse analysis as a scalpel to peel the discourse of moderate Islam published by PWNU East Java through the website. As for this research, the findings are important, among others are: 1) moderate Islamic discourse campaigned by Nahdlatul Ulama East Java is categorized into three segments, namely social, religious and nationality. 2) the text structure that builds moderate Islamic discourse NU East Java in Van Dijk perspective constructed in three domains, namely text, social cognition and social context. 3) the principles of Public Relationship implemented by NU through cyber (online media), among others; News publications and expert opinions, production of image and video-based information, and updating official NU information to the public about their attitudes and views on the phenomena that occur by promoting the values of Islamic moderatism. Key Word : Islamic Moderatism, Nahdlatul Ulama, Cyber Public Relationship

Pulvino-cortical interaction: an integrative role in the control of attention

2019 ◽  
Author(s):  
Alexia Bourgeois ◽  
Carole Guedj ◽  
Emmanuel Carrera ◽  
Patrik Vuilleumier
Keyword(s):  
Executive Control ◽  
Sensory Information ◽  
Relevant Information ◽  
Cortical Circuits ◽  
Attention And Executive Control ◽  
Neural Communication ◽  
Subcortical Regions ◽  
Theoretical Proposal ◽  
Selection Of

Selective attention is a fundamental cognitive function that guides behavior by selecting and prioritizing salient or relevant sensory information of our environment. Despite early evidence and theoretical proposal pointing to an implication of thalamic control in attention, most studies in the past two decades focused on cortical substrates, largely ignoring the contribution of subcortical regions as well as cortico-subcortical interactions. Here, we suggest a key role of the pulvinar in the selection of salient and relevant information via its involvement in priority maps computation. Prioritization may be achieved through a pulvinar- mediated generation of alpha oscillations, which may then modulate neuronal gain in thalamo-cortical circuits. Such mechanism might orchestrate the synchrony of cortico-cortical interaction, by rendering neural communication more effective, precise and selective. We propose that this theoretical framework will support a timely shift from the prevailing cortico- centric view of cognition to a more integrative perspective of thalamic contributions to attention and executive control processes.

APPLICATION OF TECHNOLOGIES OF INTERVIEW, TESTING, PRELIMINAR-ING IN SELECTION OF THE PERSONNEL OF THE ORGANIZATION

2019 ◽  
pp. 87-92
Author(s):  
E.V. Troshina
Keyword(s):  
Labour Market ◽  
The Public ◽  
Public Status ◽  
Market Relations ◽  
Selection Of

In modern conditions of market relations and a labour market the great value as the public status of the worker varies, character of its relations to work and conditions of sale of a labour is given to selection and hiring of shots especially.

Tax-Advantaged Trust Use Among IPO Executives: Determinants and Implications for Valuation and Future Performance

2019 ◽  
Vol 95 (3) ◽  
pp. 145-175 ◽  
Author(s):  
Michael J. Dambra ◽  
Matthew Gustafson ◽  
Phillip J. Quinn
Keyword(s):  
Stock Price ◽  
Relevant Information ◽  
Data Availability ◽  
Market Prices ◽  
The Public ◽  
Future Performance ◽  
Estate Taxes ◽  
Price Appreciation ◽  
One Year ◽  
Jel Classifications

ABSTRACT We examine the prevalence and determinants of CEOs' use of tax-advantaged trusts prior to their firm's IPO. Twenty-three percent of CEOs use tax-advantaged pre-IPO trusts, and share transfers into tax-advantaged trusts are positively associated with CEO equity wealth, estate taxes, and dynastic preferences. We project that pre-IPO trust use increases CEOs' dynastic wealth by approximately $830,000, on average. We next examine a simple model's prediction that trust use will be positively related to IPO-period stock price appreciation. We find that trust use is associated with 12 percent higher one-year post-IPO returns, but is not significantly related to the IPO's valuation, filing price revision, or underpricing. This evidence is consistent with CEOs' personal finance decisions prior to the IPO containing value-relevant information that is not immediately incorporated into market prices. JEL Classifications: D14; G12; G32; M21; M41. Data Availability: Data are available from the public sources cited in the text.

The Propaganda Feedback Loop

2018 ◽  
Author(s):  
Yochai Benkler ◽  
Robert Faris ◽  
Hal Roberts
Keyword(s):  
Case Studies ◽  
Feedback Loop ◽  
The Other ◽  
Hillary Clinton ◽  
Donald Trump ◽  
The Public ◽  
False Reporting ◽  
Media Ecosystem ◽  
Crowd Out ◽  
Selection Of

This chapter presents a model of the interaction of media outlets, politicians, and the public with an emphasis on the tension between truth-seeking and narratives that confirm partisan identities. This model is used to describe the emergence and mechanics of an insular media ecosystem and how two fundamentally different media ecosystems can coexist. In one, false narratives that reinforce partisan identity not only flourish, but crowd-out true narratives even when these are presented by leading insiders. In the other, false narratives are tested, confronted, and contained by diverse outlets and actors operating in a truth-oriented norms dynamic. Two case studies are analyzed: the first focuses on false reporting on a selection of television networks; the second looks at parallel but politically divergent false rumors—an allegation that Donald Trump raped a 13-yearold and allegations tying Hillary Clinton to pedophilia—and tracks the amplification and resistance these stories faced.

scholarly journals Predictors of treatment failures of plasmodium falciparum malaria in Vietnam: a 4-year single‐centre retrospective study

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Minh Cuong Duong ◽  
Oanh Kieu Nguyet Pham ◽  
Phong Thanh Nguyen ◽  
Van Vinh Chau Nguyen ◽  
Phu Hoan Nguyen
Keyword(s):  
Plasmodium Falciparum ◽  
Treatment Failure ◽  
Severe Malaria ◽  
Falciparum Malaria ◽  
Control Strategies ◽  
Artemisinin Resistance ◽  
Plasmodium Falciparum Malaria ◽  
Molecular Technique ◽  
Drug Resistant ◽  
Public Health Burden

Abstract Background Drug-resistant falciparum malaria is an increasing public health burden. This study examined the magnitude of Plasmodium falciparum infection and the patterns and predictors of treatment failure in Vietnam. Methods Medical records of all 443 patients with malaria infection admitted to the Hospital for Tropical Diseases between January 2015 and December 2018 were used to extract information on demographics, risk factors, symptoms, laboratory tests, treatment, and outcome. Results More than half (59.8%, 265/443, CI 55.1–64.4%) of patients acquired Plasmodium falciparum infection of whom 21.9% (58/265, CI 17.1–27.4%) had severe malaria, while 7.2% (19/265, CI 4.6–10.9%) and 19.2% (51/265, CI 14.7–24.5%) developed early treatment failure (ETF) and late treatment failure (LTF) respectively. Among 58 patients with severe malaria, 14 (24.1%) acquired infection in regions where artemisinin resistance has been documented including Binh Phuoc (11 patients), Dak Nong (2 patients) and Gia Lai (1 patient). Under treatment with intravenous artesunate, the median (IQR) parasite half-life of 11 patients coming from Binh Phuoc was 3 h (2.3 to 8.3 h), two patients coming from Dak Nong was 2.8 and 5.7 h, and a patient coming from Gia Lai was 6.5 h. Most patients (98.5%, 261/265) recovered completely. Four patients with severe malaria died. Severe malaria was statistically associated with receiving treatment at previous hospitals (P < 0.001), hepatomegaly (P < 0.001) and number of inpatient days (P < 0.001). Having severe malaria was a predictor of ETF (AOR 6.96, CI 2.55–19.02, P < 0.001). No predictor of LTF was identified. Conclusions Plasmodium falciparum remains the prevalent malaria parasite. Despite low mortality rate, severe malaria is not rare and is a significant predictor of ETF. To reduce the risk for ETF, studies are needed to examine the effectiveness of combination therapy including parenteral artesunate and a parenteral partner drug for severe malaria. The study alerts the possibility of drug-resistant malaria in Africa and other areas in Vietnam, which are known as non-endemic areas of anti-malarial drug resistance. A more comprehensive study using molecular technique in these regions is required to completely understand the magnitude of drug-resistant malaria and to design appropriate control strategies.

scholarly journals A microfluidic device enabling drug resistance analysis of leukemia cells via coupled dielectrophoretic detection and impedimetric counting

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yağmur Demircan Yalçın ◽  
Taylan Berkin Töral ◽  
Sertan Sukas ◽  
Ender Yıldırım ◽  
Özge Zorlu ◽  
...  
Keyword(s):  
Drug Resistance ◽  
K562 Cells ◽  
Leukemia Cells ◽  
Drug Resistant ◽  
Wild Type ◽  
Gene Expressions ◽  
Before And After ◽  
The Difference ◽  
Selection Of ◽  
Resistant Cells

AbstractWe report the development of a lab-on-a-chip system, that facilitates coupled dielectrophoretic detection (DEP-D) and impedimetric counting (IM-C), for investigating drug resistance in K562 and CCRF-CEM leukemia cells without (immuno) labeling. Two IM-C units were placed upstream and downstream of the DEP-D unit for enumeration, respectively, before and after the cells were treated in DEP-D unit, where the difference in cell count gave the total number of trapped cells based on their DEP characteristics. Conductivity of the running buffer was matched the conductivity of cytoplasm of wild type K562 and CCRF-CEM cells. Results showed that DEP responses of drug resistant and wild type K562 cells were statistically discriminative (at p = 0.05 level) at 200 mS/m buffer conductivity and at 8.6 MHz working frequency of DEP-D unit. For CCRF-CEM cells, conductivity and frequency values were 160 mS/m and 6.2 MHz, respectively. Our approach enabled discrimination of resistant cells in a group by setting up a threshold provided by the conductivity of running buffer. Subsequent selection of drug resistant cells can be applied to investigate variations in gene expressions and occurrence of mutations related to drug resistance.

Antimicrobial resistance and molecular epidemiology of virulence genes among multi-drug resistant clinical isolates in Iran

Gene Reports ◽  
2021 ◽  
pp. 101281
Author(s):  
Mohammadreza Sadr ◽  
Seyed Alireza Fahimzad ◽  
Abdollah Karimi ◽  
Fatemeh Fallah ◽  
Shahnaz Armin ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Molecular Epidemiology ◽  
Virulence Genes ◽  
Clinical Isolates ◽  
Drug Resistant

scholarly journals Gradient boosting for linear mixed models

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Colin Griesbach ◽  
Benjamin Säfken ◽  
Elisabeth Waldmann
Keyword(s):  
Random Effects ◽  
Mixed Models ◽  
Selection Procedure ◽  
Classification Theory ◽  
Gradient Boosting ◽  
Random Structure ◽  
Boosting Algorithm ◽  
The One ◽  
Biased Estimates ◽  
Selection Of

Abstract Gradient boosting from the field of statistical learning is widely known as a powerful framework for estimation and selection of predictor effects in various regression models by adapting concepts from classification theory. Current boosting approaches also offer methods accounting for random effects and thus enable prediction of mixed models for longitudinal and clustered data. However, these approaches include several flaws resulting in unbalanced effect selection with falsely induced shrinkage and a low convergence rate on the one hand and biased estimates of the random effects on the other hand. We therefore propose a new boosting algorithm which explicitly accounts for the random structure by excluding it from the selection procedure, properly correcting the random effects estimates and in addition providing likelihood-based estimation of the random effects variance structure. The new algorithm offers an organic and unbiased fitting approach, which is shown via simulations and data examples.

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