The N=48 ^{80}Ge nucleus is studied by means of β-delayed electron-conversion spectroscopy at ALTO. The radioactive ^{80}Ga beam is produced through the isotope separation on line photofission technique and collected on a movable tape for the measurement of γ and e^{-} emission following β decay. An electric monopole E0 transition, which points to a 639(1) keV intruder 0_{2}^{+} state, is observed for the first time. This new state is lower than the 2_{1}^{+} level in ^{80}Ge, and provides evidence of shape coexistence close to one of the most neutron-rich doubly magic nuclei discovered so far, ^{78}Ni. This result is compared with theoretical estimates, helping to explain the role of monopole and quadrupole forces in the weakening of the N=50 gap at Z=32. The evolution of intruder 0_{2}^{+} states towards ^{78}Ni is discussed.
We present a systematic study of the effectiveness of light quark mass reweighting. This method allows a single, lattice QCD ensemble, generated with a specific value of the dynamical light quark mass, to be used to determine results for other, nearby light dynamical quark masses. We study two gauge field ensembles generated with 2+1 flavors of dynamical domain wall fermions with light quark masses m l = 0.02 (m π = 620 MeV) and m l = 0.01 (m π = 420 MeV). We reweight each ensemble to determine results which could be computed directly from the other and check the consistency of the reweighted results with the direct results. The large difference between the 0.02 and 0.01 light quark masses suggests that this is an aggressive application of reweighting as can be seen from fluctuations in the magnitude of the reweighting factor by four orders of magnitude. Never-the-less, a comparison of the reweighed topological charge, average plaquette, residual mass, pion mass, pion decay constant, and scalar correlator between these two ensembles shows an agreement well described by the statistical errors. The issues of the effective number of configurations and finite sample bias are discussed. An examination of the topological charge distribution implies that it is more favorable to reweight from heavier mass to lighter quark mass.
Influenza is a zoonotic disease, infecting a wide variety of warm-blooded animals. It is caused by an influenza virus, which has been found with hundreds of subtypes. These subtypes are often associated with different sources of infection and possess complex courses of infection. In the early stage of influenza infection, rapid subtype detection is very practicable to prevent the disease from getting worse. Herein, we presented a high-throughput microfluidic centrifugal disc for rapid detection of influenza virus subtypes. The disc realized detection reagent preloads, automated reagent control, and RT-LAMP detections. Six kinds of highly pathogenic influenza viruses could be simultaneously identified, including influenza A subtypes H1, H3, H5, H7, and H9 and influenza B virus. Two different fluorescent dyes could be used on the disc for real-time detection or read by the naked eye. The performance of the disc was demonstrated by testing the clinical samples. The integrated centrifugal disc was expected for rapid detection of influenza virus subtypes to facilitate accurate drug usage in resource-constrained settings and contribute to reduce the risk of the influenza pandemic.
International audienceThe N=52 Ga83 β decay was studied at ALTO. The radioactive 83 Ga beam was produced through the ISOL photofission technique and collected on a movable tape for the measurement of γ -ray emission following β decay. While β -delayed neutron emission has been measured to be 56–85% of the decay path, in this experiment an unexpected high-energy 5–9 MeV γ -ray yield of 16(4)% was observed, coming from states several MeVs above the neutron separation threshold. This result is compared with cutting-edge QRPA calculations, which show that when neutrons deeply bound in the core of the nucleus decay into protons via a Gamow–Teller transition, they give rise to a dipolar oscillation of nuclear matter in the nucleus. This leads to large electromagnetic transition probabilities which can compete with neutron emission, thus affecting the β -decay path. This process is enhanced by an excess of neutrons on the nuclear surface and may thus be a common feature for very neutron-rich isotopes, challenging the present understanding of decay properties of exotic nuclei
Today, logistics activities have become a major source of pollution that affects the environment and green logistics is becoming a hot topic. A logistics company's operating strategy determines the direction of logistics activities and impact degree of logistics activities on the environment. And in logistics enterprises, there is a direct relationship between efficiency and collaboration as collaboration can reduce logistics costs and the negative impact of the bullwhip effect and increase the service level. Synergy degree evaluation, therefore, is crucial to analyze collaboration, identify vulnerabilities, promote development and is also a key step in building a green logistics system. This paper employs Synergetics to comprehensively evaluate the synergy degree in sustainable logistics enterprises. First, Synergetics is introduced to evaluate the synergy degree of sustainable logistics enterprises and the basic Synergetics principles are presented. Second, based on the Law of the Factors of Production, the synergy elements and logistics enterprise content is divided into three main factors: subject elements, object elements and facility and equipment elements. Then, a measurement model and framework for the synergy degree of logistics enterprises is built. Finally, a case study is given to verify the effectiveness of the proposed model and framework. It was found that the higher the logistics enterprise synergy degree, the higher the efficiency. influence on firm performance, which enabled the supply chain partners to achieve synergies and superior performance. Many organizations, such as Dell and Wal-Mart, have achieved mutual benefits from supply chain collaboration [13,14]. Multi-enterprise collaboration has also been examined. For example, Kefah [15] developed an integrated Game Theory (GT) approach for the coordination of multi-enterprise Supply Chains (SCs) in a competitive uncertain environment. Improving the collaboration between large and small-medium enterprises in the automobile production sector has been shown to be important for the profitability and sustainability of the collaborating companies [16]. However, there has not been a great deal of research into inter-departmental collaboration within an enterprise even though this could have a major influence on cost effectiveness and shipping time efficiency [17][18][19].In addition to this, synergy and complexity have a great impact on each other. The greater the degree of synergy among members, the more obvious synergy effects and the more complex coordination behaviors are produced [20]. An integrated supply model was proposed to formulate the problem of consignment-store-based complex supply chain optimization [21]. Tamás Bányai et al. demonstrated an enhanced harmony search algorithm to find the optimum make-or-buy solution of a given maintenance related supply chain complexity problem [22] and Danping Lin et al. have taken complexity as the technical factor when they adopt Internet of Things (IOT) in the agricultural supply chain [23]. Method...
Implementing green projects is critical to achieve the green and sustainable development goal. This paper investigates a green project planning with the realistic consideration of multiple objectives including minimizing the total cost and maximizing the total emission reduction. The realistic multi-objective problem in engineering optimization aims to find a best solution for real-world use instead of finding a set of Pareto-optimal solutions. To handle this problem, we develop a weight sets-based multi-objective evolutionary optimization approach to find the best solution for realistic use. The approach integrates a single-objective evolutionary optimization process, novel solution encoding and decoding heuristics, and a non-dominated sort technique. Based on real-world data from a seaport in China, experiments were conducted to validate the proposed optimization approach. Results show that the proposed approach can effectively solve the real-world multi-objective green project planning problem because the solution found by our approach is one of the Pareto optimal solutions generated by the NSGA-II.
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