Coordination of cassava starch to metal ions and thermolysis of resulting complexes

Cassava starch formed Werner-type complexes with ions of metals from the transition groups. This was proven by conductivity and electron paramagnetic resonance measurements. The coordination of starch to central metal ions influenced the thermal decomposition of starch. As a rule complexes started to decompose at lower temperature than did starch. On the other hand, the decomposition proceeded at a lower rate than the decomposition of non-coordinated starch. KEY WORDS: Cassava starch, Coordination of starch to metal ions, Thermal decomposition of starch, Electron paramagnetic resonance measurements, Conductivity  Bull. Chem. Soc. Ethiop. 2003, 17(2), 155-165

Anomalies in biliary tree anatomy - own observations

Kamica pęcherzyka żółciowego jest jedną z najczęstszych przyczyn operacji w obrębie jamy brzusznej. W trakcie tego zabiegu może dojść do powikłań związanych z występowaniem nietypowego przebiegu zewnątrzwątrobowych dróg żółciowych. W pracy dokonano przeglądu niektórych wariantów anatomicznych występujących w budowie zewnątrzwątrobowych dróg żółciowych. Autorzy opisali także przebieg diagnostyki i leczenia chorej po laparoskopowym wycięciu pęcherzyka żółciowego, u której doszło do powikłań na tle następstw uszkodzenia przewodu zbaczającego, drenującego żółć z V segmentu wątroby. Badaniem pomocnym w ustaleniu źródła powikłania była cholangiografia rezonansu magnetycznego. Znajomość odchyleń w budowie zewnątrzwątrobowych dróg żółciowych, wiedza o istnieniu przewodów zbaczających i przewodów dodatkowych są niezbędne każdemu chirurgowi operującemu w obrębie dróg żółciowych.Cholelithiasis is one of the most frequent causes of operative treatment in the abdominal region. Intraoperative complications caused by an atypical course of the extrahepatic biliary tree may occur. In this study some of anatomical variations of the extrahepatic biliary system are reviewed. The authors describe the diagnostic and therapeutic process of a patient who underwent a laparoscopic cholecystectomy, complicated by the injury of the aberrant bile duct, draining bile from the 5th hepatic segment. A CholangioMRI examination was helpful to determine the diagnosis. Bile duct surgery demands a wide knowledge of the different variations of biliary tree anatomy and an awareness of the possible presence of accessory and aberrant ducts

Reliability-oriented resource management for High-Performance Computing

Reliability is an increasingly pressing issue for High-Performance Computing systems, as failures are a threat to large-scale applications, for which an even single run may incur significant energy and billing costs. Currently, application developers need to address reliability explicitly, by integrating application-specific checkpoint/restore mechanisms. However, the application alone cannot exploit system knowledge, which is not the case for system-wide resource management systems. In this paper, we propose a reliability-oriented policy that can increase significantly component reliability by combining checkpoint/restore mechanisms exploitation and proactive resource management policies

Wpływ nawozów azotowych traktowanych niskotemperaturową, niskociśnieniową plazmą jarzeniową na wzrost i jakość wybranych gatunków

Water treated with low-pressure glow plasma of low frequency takes unique properties which might be utilized as a novel, beneficial nitrogen fertilizer. That assumption is tested in this report. Thus, plantations of dill (Anethum graveolens) var. Moravan, grass Universal (5% westerwold ryegrass (Lolium multiWorum), 20% tall fescue (Festuca arundinacea), 40% perennial ryegrass (Lolium perenne), 35% red festuce (Festuca rubra) and strawberry ((Fragaria) var. Senga Sengana were watered with that nitrogen fertilizer (LPGPAm) prepared of 1% ammonia solution in tap water treated for 30 min with plasma generated at 38oC at 5x10-3 mbar, 800 V, 50 mA and 10 kHz frequency. Watering lasted from August 1th (sowing) till September 30th (harvesting) 2023 in a greenhouse.The effect of the use of watering plants with LPGPAm was checked involving the following parameters: plant height, mass of stems, total mass of crops, content of fat, proteins, carotenoids, ascorbic acid, sulphur content chlorophyll, content of dry mass, and ash and bioaccumulation of cations and anions.Woda traktowana niskociśnieniową plazmą jarzeniową o niskiej częstości przybiera unikalne właściwości, które sprawiają, iż mogłyby być stosowana jako nowy, wartościowy nawóz azotowy. Niniejsza praca służy sprawdzeniu tego założenia. Uprawy kopru ogrodowego (Anethum graveolens) odm. Moravan, mieszanki traw Uniwersal (skład: 5% życica westerwoldzka (Lolium multiWorum), 20% kostrzewa trzcinowa (Festuca arundinacea), 40% życica trwała (Lolium perenne), 35% kostrzewa czerwona (Festuca rubra)) i truskawki (Fragaria), odm. Senga Sengana, podlewano nawozem azotowym (LPGPAm), sporządzonym z 1% roztworu amoniaku w wodzie kranowej, traktowanego przez 30 min plazmą generowaną w 38C przy 5 × 10-3 mbar, 800 V, 50 mA and częstości 10 kHz. Podlewanie trwało od 1 sierpnia (zasianie) do 30 września (zbiór) 2023 r. w inspektach. Badano wpływ podlewania roślin za pomocą LPGPAm, sprawdzając następujące parametry: wysokość roślin, masę łodyg, całkowitą masę plonów, zawartość tłuszczu, białek,karotenoidów, kwasu askorbinowego, siarki, chlorolu, zawartość suchej masy i popiołu oraz bioakumulację kationów i anionów

The ESCAPE project : Energy-efficient Scalable Algorithms for Weather Prediction at Exascale

In the simulation of complex multi-scale flows arising in weather and climate modelling, one of the biggest challenges is to satisfy strict service requirements in terms of time to solution and to satisfy budgetary constraints in terms of energy to solution, without compromising the accuracy and stability of the application. These simulations require algorithms that minimise the energy footprint along with the time required to produce a solution, maintain the physically required level of accuracy, are numerically stable, and are resilient in case of hardware failure. The European Centre for Medium-Range Weather Forecasts (ECMWF) led the ESCAPE (Energy-efficient Scalable Algorithms for Weather Prediction at Exascale) project, funded by Horizon 2020 (H2020) under the FET-HPC (Future and Emerging Technologies in High Performance Computing) initiative. The goal of ESCAPE was to develop a sustainable strategy to evolve weather and climate prediction models to next-generation computing technologies. The project partners incorporate the expertise of leading European regional forecasting consortia, university research, experienced high-performance computing centres, and hardware vendors. This paper presents an overview of the ESCAPE strategy: (i) identify domain-specific key algorithmic motifs in weather prediction and climate models (which we term Weather & Climate Dwarfs), (ii) categorise them in terms of computational and communication patterns while (iii) adapting them to different hardware architectures with alternative programming models, (iv) analyse the challenges in optimising, and (v) find alternative algorithms for the same scheme. The participating weather prediction models are the following: IFS (Integrated Forecasting System); ALARO, a combination of AROME (Application de la Recherche a l'Operationnel a Meso-Echelle) and ALADIN (Aire Limitee Adaptation Dynamique Developpement International); and COSMO-EULAG, a combination of COSMO (Consortium for Small-scale Modeling) and EULAG (Eulerian and semi-Lagrangian fluid solver). For many of the weather and climate dwarfs ESCAPE provides prototype implementations on different hardware architectures (mainly Intel Skylake CPUs, NVIDIA GPUs, Intel Xeon Phi, Optalysys optical processor) with different programming models. The spectral transform dwarf represents a detailed example of the co-design cycle of an ESCAPE dwarf. The dwarf concept has proven to be extremely useful for the rapid prototyping of alternative algorithms and their interaction with hardware; e.g. the use of a domain-specific language (DSL). Manual adaptations have led to substantial accelerations of key algorithms in numerical weather prediction (NWP) but are not a general recipe for the performance portability of complex NWP models. Existing DSLs are found to require further evolution but are promising tools for achieving the latter. Measurements of energy and time to solution suggest that a future focus needs to be on exploiting the simultaneous use of all available resources in hybrid CPU-GPU arrangements

The ESCAPE project: Energy-efficient Scalable Algorithms for Weather Prediction at Exascale

Abstract. In the simulation of complex multi-scale flows arising in weather and climate modelling, one of the biggest challenges is to satisfy strict service requirements in terms of time to solution and to satisfy budgetary constraints in terms of energy to solution, without compromising the accuracy and stability of the application. These simulations require algorithms that minimise the energy footprint along with the time required to produce a solution, maintain the physically required level of accuracy, are numerically stable, and are resilient in case of hardware failure. The European Centre for Medium-Range Weather Forecasts (ECMWF) led the ESCAPE (Energy-efficient Scalable Algorithms for Weather Prediction at Exascale) project, funded by Horizon 2020 (H2020) under the FET-HPC (Future and Emerging Technologies in High Performance Computing) initiative. The goal of ESCAPE was to develop a sustainable strategy to evolve weather and climate prediction models to next-generation computing technologies. The project partners incorporate the expertise of leading European regional forecasting consortia, university research, experienced high-performance computing centres, and hardware vendors. This paper presents an overview of the ESCAPE strategy: (i) identify domain-specific key algorithmic motifs in weather prediction and climate models (which we term Weather & Climate Dwarfs), (ii) categorise them in terms of computational and communication patterns while (iii) adapting them to different hardware architectures with alternative programming models, (iv) analyse the challenges in optimising, and (v) find alternative algorithms for the same scheme. The participating weather prediction models are the following: IFS (Integrated Forecasting System); ALARO, a combination of AROME (Application de la Recherche à l'Opérationnel à Meso-Echelle) and ALADIN (Aire Limitée Adaptation Dynamique Développement International); and COSMO–EULAG, a combination of COSMO (Consortium for Small-scale Modeling) and EULAG (Eulerian and semi-Lagrangian fluid solver). For many of the weather and climate dwarfs ESCAPE provides prototype implementations on different hardware architectures (mainly Intel Skylake CPUs, NVIDIA GPUs, Intel Xeon Phi, Optalysys optical processor) with different programming models. The spectral transform dwarf represents a detailed example of the co-design cycle of an ESCAPE dwarf. The dwarf concept has proven to be extremely useful for the rapid prototyping of alternative algorithms and their interaction with hardware; e.g. the use of a domain-specific language (DSL). Manual adaptations have led to substantial accelerations of key algorithms in numerical weather prediction (NWP) but are not a general recipe for the performance portability of complex NWP models. Existing DSLs are found to require further evolution but are promising tools for achieving the latter. Measurements of energy and time to solution suggest that a future focus needs to be on exploiting the simultaneous use of all available resources in hybrid CPU–GPU arrangements

Differential cross section measurements for the production of a W boson in association with jets in proton–proton collisions at √s = 7 TeV

Measurements are reported of differential cross sections for the production of a W boson, which decays into a muon and a neutrino, in association with jets, as a function of several variables, including the transverse momenta (pT) and pseudorapidities of the four leading jets, the scalar sum of jet transverse momenta (HT), and the difference in azimuthal angle between the directions of each jet and the muon. The data sample of pp collisions at a centre-of-mass energy of 7 TeV was collected with the CMS detector at the LHC and corresponds to an integrated luminosity of 5.0 fb[superscript −1]. The measured cross sections are compared to predictions from Monte Carlo generators, MadGraph + pythia and sherpa, and to next-to-leading-order calculations from BlackHat + sherpa. The differential cross sections are found to be in agreement with the predictions, apart from the pT distributions of the leading jets at high pT values, the distributions of the HT at high-HT and low jet multiplicity, and the distribution of the difference in azimuthal angle between the leading jet and the muon at low values.United States. Dept. of EnergyNational Science Foundation (U.S.)Alfred P. Sloan Foundatio

Juxtaposing BTE and ATE – on the role of the European insurance industry in funding civil litigation

One of the ways in which legal services are financed, and indeed shaped, is through private insurance arrangement. Two contrasting types of legal expenses insurance contracts (LEI) seem to dominate in Europe: before the event (BTE) and after the event (ATE) legal expenses insurance. Notwithstanding institutional differences between different legal systems, BTE and ATE insurance arrangements may be instrumental if government policy is geared towards strengthening a market-oriented system of financing access to justice for individuals and business. At the same time, emphasizing the role of a private industry as a keeper of the gates to justice raises issues of accountability and transparency, not readily reconcilable with demands of competition. Moreover, multiple actors (clients, lawyers, courts, insurers) are involved, causing behavioural dynamics which are not easily predicted or influenced. Against this background, this paper looks into BTE and ATE arrangements by analysing the particularities of BTE and ATE arrangements currently available in some European jurisdictions and by painting a picture of their respective markets and legal contexts. This allows for some reflection on the performance of BTE and ATE providers as both financiers and keepers. Two issues emerge from the analysis that are worthy of some further reflection. Firstly, there is the problematic long-term sustainability of some ATE products. Secondly, the challenges faced by policymakers that would like to nudge consumers into voluntarily taking out BTE LEI

Penilaian Kinerja Keuangan Koperasi di Kabupaten Pelalawan

This paper describe development and financial performance of cooperative in District Pelalawan among 2007 - 2008. Studies on primary and secondary cooperative in 12 sub-districts. Method in this stady use performance measuring of productivity, efficiency, growth, liquidity, and solvability of cooperative. Productivity of cooperative in Pelalawan was highly but efficiency still low. Profit and income were highly, even liquidity of cooperative very high, and solvability was good