160 research outputs found
Should Russia comply with EU food safety norms in the wheat sector?
The impressive volumes of wheat production in Russia on the one hand, and the good baking quality of Russian wheat on the other hand enabled Russia to become one of the important wheat producers and exporters of the world since the recent few years. However Russia has a long way to go in the “front” of Sanitary and Phytosanitary (SPS), i.e. food safety, standards. As part of a larger study, financed by the German Research Foundation, the current research addresses the objective of estimating the potentials of wheat production in Russia under more stringent food safety standards as the current Russian national SPS regulations are. The comparative advantage analysis based on the Domestic Resource Cost approach (DRC) is applied to estimate the possible compliance of Russian norms with EU SPS standards. The DRC analysis resulting in a ratio of 0,37 provides evidence of high social profitability of wheat chain in Stavropol region. Also the scenarios of compliance of Russian food safety norms with those of EU offers plausible solutions with DRC ratios varying within the range of 0,49 – 0,96 dependent on the fluctuations of model parameters. This is the third paper from the series of analysis of competitiveness of the Russian wheat sector under different food safety policies. The first paper estimated the policy of the full enforcement of national SPS regulations . The second work assessed the policy of compliance with the international SPS norms and considered also the sensitivity analysis under this policy. As far as the EU SPS norms are more stringent as the international standards, there is a necessity to assess also this policy option.DRC, wheat, food safety standards., Agricultural and Food Policy, Food Consumption/Nutrition/Food Safety,
Problems of Strategic Management Formation in Russian Agrarian Sector
The rapid changes in Russian agriculture during the last fifteen years require development of particular strategies for efficient farm management. The West-European approaches of strategic management and planning decisions are not directly applicable in the Russian agricultural economy; Russian large and medium-sized agricultural enterprises act on different organisational principles, due to the specific peculiarities of their business mentality. The objective of the research is to adopt modern strategic management concepts to the peculiarities of Russian agriculture and to work out proposals on formation of strategic planning system in agricultural production. To this end it is necessary to define the strategic planning features which take into account the nature of modern stage of the development of Russian economy and the specific character of agricultural production; to indicate the preconditions which promote the wide implementation of strategic planning into economic practice; to establish the features of the concept of strategic planning for agricultural enterprises and to elaborate a methodical set of instructions providing formalized character to strategic planning. Applying the methodologies of monographic research and expert interviews, we conducted the analysis of peculiarities and problems of Russian agricultural production, revealed and systematized the features of development of strategy for agricultural enterprises. Based on the results of our investigation we developed strategic development models for the agricultural enterprises of Stavropol region applying the approach of Strength /Neutral / Weakness (SNW) analysis of the methodology of comparative advantage. The usefulness and empirical value of the developed models have been approved on the example of “LUCH” agricultural enterprise, which is the first in the region according to effectiveness indicators and the fourth according to its relative size.Farm Management,
Importance of access to epilepsy monitoring units during the COVID-19 pandemic: Consensus statement of the International League against epilepsy and the International Federation of Clinical Neurophysiology
Restructuring of healthcare services during the COVID-19 pandemic has led to lockdown of Epilepsy Monitoring Units (EMUs) in many hospitals. The ad-hoc taskforce of the International League Against Epilepsy (ILAE) and the International Federation of Clinical Neurophysiology (IFCN) highlights the detrimental effect of postponing video-EEG monitoring of patients with epilepsy and other paroxysmal events. The taskforce calls for action to continue functioning of Epilepsy Monitoring Units during emergency situations, such as the COVID-19 pandemic. Long-term video-EEG monitoring is an essential diagnostic service. Access to video-EEG monitoring of the patients in the EMUs must be given high priority. Patients should be screened for COVID-19, before admission, according to the local regulations. Local policies for COVID-19 infection control should be adhered to during the video-EEG monitoring. In cases of differential diagnosis where reduction of antiseizure medication is not required, consider home video-EEG monitoring as an alternative in selected patients
Solve-RD: systematic pan-European data sharing and collaborative analysis to solve rare diseases
For the first time in Europe hundreds of rare disease (RD) experts team up to actively share and jointly analyse existing patient’s data. Solve-RD is a Horizon 2020-supported EU flagship project bringing together >300 clinicians, scientists, and patient representatives of 51 sites from 15 countries. Solve-RD is built upon a core group of four European Reference Networks (ERNs; ERN-ITHACA, ERN-RND, ERN-Euro NMD, ERN-GENTURIS) which annually see more than 270,000 RD patients with respective pathologies. The main ambition is to solve unsolved rare diseases for which a molecular cause is not yet known. This is achieved through an innovative clinical research environment that introduces novel ways to organise expertise and data. Two major approaches are being pursued (i) massive data re-analysis of >19,000 unsolved rare disease patients and (ii) novel combined -omics approaches. The minimum requirement to be eligible for the analysis activities is an inconclusive exome that can be shared with controlled access. The first preliminary data re-analysis has already diagnosed 255 cases form 8393 exomes/genome datasets. This unprecedented degree of collaboration focused on sharing of data and expertise shall identify many new disease genes and enable diagnosis of many so far undiagnosed patients from all over Europe
Could the 2017 ILAE and the four-dimensional epilepsy classifications be merged to a new "Integrated Epilepsy Classification"?
Over the last few decades the ILAE classifications for seizures and epilepsies (ILAE-EC) have been updated repeatedly to reflect the substantial progress that has been made in diagnosis and understanding of the etiology of epilepsies and seizures and to correct some of the shortcomings of the terminology used by the original taxonomy from the 1980s. However, these proposals have not been universally accepted or used in routine clinical practice. During the same period, a separate classification known as the "Four-dimensional epilepsy classification" (4D-EC) was developed which includes a seizure classification based exclusively on ictal symptomatology, which has been tested and adapted over the years. The extensive arguments for and against these two classification systems made in the past have mainly focused on the shortcomings of each system, presuming that they are incompatible. As a further more detailed discussion of the differences seemed relatively unproductive, we here review and assess the concordance between these two approaches that has evolved over time, to consider whether a classification incorporating the best aspects of the two approaches is feasible. To facilitate further discussion in this direction we outline a concrete proposal showing how such a compromise could be accomplished, the "Integrated Epilepsy Classification". This consists of five categories derived to different degrees from both of the classification systems: 1) a "Headline" summarizing localization and etiology for the less specialized users, 2) "Seizure type(s)", 3) "Epilepsy type" (focal, generalized or unknown allowing to add the epilepsy syndrome if available), 4) "Etiology", and 5) "Comorbidities & patient preferences"
Biallelic mutations in SORD cause a common and potentially treatable hereditary neuropathy with implications for diabetes
Here we report biallelic mutations in the sorbitol dehydrogenase gene (SORD) as the most frequent recessive form of hereditary neuropathy. We identified 45 individuals from 38 families across multiple ancestries carrying the nonsense c.757delG (p.Ala253GlnfsTer27) variant in SORD, in either a homozygous or compound heterozygous state. SORD is an enzyme that converts sorbitol into fructose in the two-step polyol pathway previously implicated in diabetic neuropathy. In patient-derived fibroblasts, we found a complete loss of SORD protein and increased intracellular sorbitol. Furthermore, the serum fasting sorbitol levels in patients were dramatically increased. In Drosophila, loss of SORD orthologs caused synaptic degeneration and progressive motor impairment. Reducing the polyol influx by treatment with aldose reductase inhibitors normalized intracellular sorbitol levels in patient-derived fibroblasts and in Drosophila, and also dramatically ameliorated motor and eye phenotypes. Together, these findings establish a novel and potentially treatable cause of neuropathy and may contribute to a better understanding of the pathophysiology of diabetes
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