780 research outputs found
Uncertainty and precaution in European environmental risk assessment of chemicals
It is recognised that there is a need for a proper treatment and transparency of uncertainty in risk assessment and management, especially in view of the upcoming proposed new chemical policy REACH, which delegates the responsibility for conducting risk assessments to industry. The current EU risk assessment for new and existing substances is largely deterministic and prudential measures are implicitly embedded in calculation schemes and rules. In this paper, a more probabilistic approach to risk assessment is advocated. The advantage is twofold: 1) inherent variability and other uncertainty pertaining to exposure and effects are transparently taken into account, while at the same time 2) issues of caution are explicitly transferred to the risk management phase. The result of a probabilistic risk assessment as suggested is improved transparency with quantitative and qualitative uncertainty estimates. Such uncertainty information can be used to discuss precautionary measures in the context of risk management.</jats:p
Validation of the nickel biotic ligand model for locally relevant species in Australian freshwaters
Australian freshwaters have relatively low water hardness and different calcium (Ca) to magnesium (Mg) ratios compared with those in Europe. The hardness values of a substantial proportion of Australian freshwaters fall below the application boundary of the existing European nickel biotic ligand models (Ni BLMs) of 2 mg Ca/L. Toxicity testing was undertaken using Hydra viridissima to assess the predictive ability of the existing Ni BLM for this species in extremely soft waters. This testing revealed an increased competitive effect of Ca and Mg with Ni for binding to the biotic ligand in soft water 
Superconductivity and antiferromagnetic order in the U(Pt,Pd)3 system
A phase diagram is presented for the superconducting and antiferromagnetic states in the heavy-fermion compounds U(Pt1–xPdx)3, x<=0.10. Superconductivity is depressed for x values larger than 0.005, whereas antiferromagnetism is observed in the composition range 0.01<x<0.1. Specific heat experiments show a sharp transition at the Néel temperature of 6.1 K for x=0.05, in contrast to the alloys with x=0.02 and 0.07 in which rather broad anomalies are observed around 3.6 and 5.5 K, respectively. Experimental observations indicate an optimal condition for antiferromagnetism around x=0.05. The effect of pressure on the phase diagram is discussed
Heat shock protein expression analysis in canine osteosarcoma reveals HSP60 as a potentially relevant therapeutic target
Heat shock proteins (HSP) are highly conserved across eukaryotic and prokaryotic species. These proteins play a role in response to cellular stressors, protecting cells from damage and facilitating recovery. In tumor cells, HSPs can have cytoprotective effects and interfere with apoptotic cascades. This study was performed to assess the prognostic and predictive values of the gene expression of HSP family members in canine osteosarcoma (OS) and their potential for targeted therapy. Gene expressions for HSP were assessed using quantitative PCR (qPCR) on 58 snap-frozen primary canine OS tumors and related to clinic-pathological parameters. A significant increased expression of HSP60 was found in relation to shorter overall survival and an osteoblastic phenotype. Therefore, the function of HSP60 was investigated in more detail. Immunohistochemical analysis revealed heterogeneous staining for HSP60 in tumors. The highest immunoreactivity was found in tumors of short surviving dogs. Next HSP expression was shown in a variety of canine and human OS cell lines by qPCR and Western blot. In two highly metastatic cell lines HSP60 expression was silenced using siRNA resulting in decreased cell proliferation and induction of apoptosis in both cell lines. It is concluded that overexpression of HSP60 is associated with a poor prognosis of OS and should be evaluated as a new target for therapy
Sub MeV Particles Detection and Identification in the MUNU detector ((1)ISN, IN2P3/CNRS-UJF, Grenoble, France, (2)Institut de Physique, Neuch\^atel, Switzerland, (3) INFN, Padova Italy, (4) Physik-Institut, Z\"{u}rich, Switzerland)
We report on the performance of a 1 m TPC filled with CF at 3
bar, immersed in liquid scintillator and viewed by photomultipliers. Particle
detection, event identification and localization achieved by measuring both the
current signal and the scintillation light are presented. Particular features
of  particle detection are also discussed. Finally, the Mn
photopeak, reconstructed from the Compton scattering and recoil angle is shown.Comment: Latex, 19 pages, 20 figure
Macroscopic quantum phenomena in high-Tc superconducting material
The observation of macroscopic quantum phenomena in a high-Tc superconducting material [YBa2Cu3O9-y (Y-Bu-Cu-O), Tc=93.4 K] is reported. Relationships between current, voltage, and magnetic fields of Sn–Y-Ba-Cu-O and Y-Ba-Cu-O–Y-Ba-Cu-O point contracts were measured. In both cases the critical current is periodic in the magnetic field, which is typical for double point contacts (dc superconducting quantum interference devices). In the Sn–Y-Ba-Cu-O contacts the oscillations were observed below the Tc of tin. In the Y-Ba-Cu-O–Y-Ba-Cu-O contacts the oscillations were observed at temperatures up to 66 K, clearly demonstrating macroscopic quantum phemonena in this high-Tc material
Data-driven Soft Sensors in the Process Industry
In the last two decades Soft Sensors established themselves as a valuable alternative to the traditional means for the acquisition of critical process variables, process monitoring and other tasks which are related to process control. This paper discusses characteristics of the process industry data which are critical for the development of data-driven Soft Sensors. These characteristics are common to a large number of process industry fields, like the chemical industry, bioprocess industry, steel industry, etc. The focus of this work is put on the data-driven Soft Sensors because of their growing popularity, already demonstrated usefulness and huge, though yet not completely realised, potential. A comprehensive selection of case studies covering the three most important Soft Sensor application fields, a general introduction to the most popular Soft Sensor modelling techniques as well as a discussion of some open issues in the Soft Sensor development and maintenance and their possible solutions are the main contributions of this work
Діагностика банкрутства в системі антикризового управління
Розглянуто питання відповідності і значимості діагностики фінансового стану кожної стадії антикризового управління. Діагностику банкрутства визначено як ретроспективне, оперативне і перспективне дослідження господарської діяльності та процесу управління підприємством, направлене на виявлення параметрів кризового розвитку за допомогою реалізації комплексу дослідницьких процедур, виявлення слабких ланок і "вузьких місць".Рассмотрены вопросы соответствия и значимости диагностики каждой стадии антикризисного управления. Диагностика банкротства определена как ретроспективное, оперативное и перспективное исследование хозяйственной деятельности и процесса управления предприятием, направленное на выявление параметров кризисного развития с помощью реализации комплекса исследовательских процедур, выявления слабых зон и «узких мест».The article analyzes issues of adequacy and role of diagnostics in all stage of anti-crisis management. The diagnostics of bankruptcy is defined as a retrospective, operative and prospective study of enterprise’s economic activity and management process that is directed to identification of parameters of crisis development by using comprehensive researches and to finding weak spots and "bottlenecks"
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