Theoretical and Methodological Aspects of the Supply Chain Integration to Free Trade Zones

Abstract— The interdependence of resources in a global marketplace, the advancement of technology and rising national economic constraints have compelled companies to excel in their supply chain performance. To that end, Free Trade Zones (FTZs) may help supply chains improve their bottom line while generating economic development to their geographical regions. These zones have become a tool in most countries to stimulate the attraction of foreign investment, expand exports and / or create import-substituting industries, create new jobs, often in poles of economic growth, especially when forming complex zones in depressed regions through supply chain system. All these free economic zones allow states to realize mainly regional advantages in the efficiency of economic growth, the socio-economic development of the region, and have a multiplier effect on the development of the entire national economy of the free economic zone

Deceleration and trapping of heavy diatomic molecules using a ring-decelerator

We present an analysis of the deceleration and trapping of heavy diatomic molecules in low-field seeking states by a moving electric potential. This moving potential is created by a 'ring-decelerator', which consists of a series of ring-shaped electrodes to which oscillating high voltages are applied. Particle trajectory simulations have been used to analyze the deceleration and trapping efficiency for a group of molecules that is of special interest for precision measurements of fundamental discrete symmetries. For the typical case of the SrF molecule in the (N,M) = (2, 0) state, the ring-decelerator is shown to outperform traditional and alternate-gradient Stark decelerators by at least an order of magnitude. If further cooled by a stage of laser cooling, the decelerated molecules allow for a sensitivity gain in a parity violation measurement, compared to a cryogenic molecular beam experiment, of almost two orders of magnitude

Improving the resilience of neural network solution of inverse problems in Raman spectroscopy to the distortions caused by frequency shift of the spectral channels

В данной работе рассматривалась задача определения концентраций растворенных в воде ионов посредством спектроскопии комбинационного рассеяния света. В настоящее время не существует адекватных математических моделей, описывающих исследуемый объект, поэтому практически единственным способом решения рассматриваемой задачи является применение методов машинного обучения с использованием экспериментальных данных. Вследствие того, что любые данные, полученные экспериментальным путем, содержат шум, возникает необходимость в разработке специальных подходов к повышению устойчивости решения к шумам в данных. Применительно к рассматриваемой задаче, данные могут содержать искажения следующих типов: неточности в заданных концентрациях ионов, возникающие при приготовлении растворов, погрешности измерения интенсивности каналов спектра и смещение частоты каналов спектра, вызванное изменением юстировки экспериментальной установки. Настоящая работа посвящена разработке подходов к повышению устойчивости нейросетевого решения к искажениям, обусловленным смещением частоты каналов спектра. In this study, we considered the problem of determining the concentrations of ions dissolved in water by the spectra of Raman scattering of light. At the moment, there are no adequate mathematical models describing the studied object, so in fact the only way to solve this problem is the use of machine learning methods based on experimental data. As any data resulting from experimental measurements contain noise, there is a need to develop specific approaches to improving the resilience of the solution to noise in the data. Regarding the studied problem, experimental data may contain distortions of three types: variations in the concentrations of ions, error in the determination of the intensity in the channels of the spectra, and frequency shift of the channels of the spectrum. This study is devoted to the development of approaches to improve the resilience of the neural network solution to the distortions caused by the shift of the spectral channels.Работа выполнена за счет гранта Российского научного фонда (проект № 14-11-00579)

Optical visualization and control of the excretion of theranostic fluorescent nanocomposites from the body using artificial neural networks

В данной работе представлены результаты применения искусственных нейронных сетей для решения задачи контроля выведения из организма нанокомпозитов-носителей лекарств и их компонентов по спектрам флуоресценции. Была смоделирована ситуация выведения с уриной нанокомпозитов, состоящих из флуоресцирующих углеродных точек, покрытых сополимерами и лигандами фолиевой кислоты, и их компонентов и решена задача классификации всех наночастиц. При решении указанной задачи использовались различные архитектуры нейронных сетей, а также проводилась компрессия входных признаков: по кросс-корреляции, по кросс- энтропии, по стандартному отклонению, с помощью анализа весов нейронной сети. Получено, что наилучшие результаты классификации нанокомпозитов и их компонентов в урине обеспечивает персептрон с 8 нейронами в единственном скрытом слое, обученный на наборе существенных входных признаков, выделенных с помощью кросс- корреляции. Процент правильного распознавания, усредненный по всевозможным пяти классам наночастиц, составляет 75,8%. In this paper, we present the results of the usage of the artificial neural networks to develop a new method for monitoring the excreted nanocomposite carriers of drugs and their components from the fluorescence spectra. The situation of removal of nanocomposites consisting of fluorescent carbon dots covered with copolymers and ligands of folic acid and their components with urine was modeled and the problem of classification of all nanoparticles was solved. Various architectures of neural networks were used for solving this problem, as well as compression of input features: cross-correlation, cross-entropy, standard deviation, use of the analysis of the neural network weights. The best results of the classification of nanocomposites and their components in urine are provided by a perceptron with 8 neurons in a single hidden layer, trained on a set of significant input features identified by crosscorrelation. The percentage of correct recognition, averaged over all possible five classes of nanoparticles, is 75.8%.Работа выполнена за счет гранта Российского научного фонда (проект № 17-12-01481)

Spectroscopy of short-lived radioactive molecules: A sensitive laboratory for new physics

The study of molecular systems provides exceptional opportunities for the exploration of the fundamental laws of nature and for the search for physics beyond the Standard Model of particle physics. Measurements of molecules composed of naturally occurring nuclei have provided the most stringent upper bounds to the electron electric dipole moment to date, and offer a route to investigate the violation of fundamental symmetries with unprecedented sensitivity. Radioactive molecules - where one or more of their atoms possesses a radioactive nucleus - can contain heavy and deformed nuclei, offering superior sensitivity for EDM measurements as well as for other symmetry-violating effects. Radium monofluoride, RaF, is of particular interest as it is predicted to have an appropriate electronic structure for direct laser cooling. Furthermore, some Ra isotopes are known to be octupole deformed, thereby resulting in a large enhancement of their symmetry-violating nuclear moments. Until now,however, no experimental measurements of RaF have been performed, and their study is impeded by major experimental challenges, as no stable isotopes of radium exist. Here, we present a novel experimental approach to study short-lived radioactive molecules using the highly sensitive collinear resonance ionisation method. With this technique we have measured, for the first time, the energetically low-lying electronic states for each of the isotopically pure RaF molecules at the ISOLDE-CERN. Our results provide strong evidence of the existence of a suitable laser-cooling scheme for these molecules and constitute a pivotal step towards high-precision studies in these systems. Our findings open up new opportunities in the synthesis, manipulation and study of short-lived radioactive molecules, which will have a direct impact in many-body physics, astrophysics, nuclear structure, and fundamental physics research

Pinning down electron correlations in RaF via spectroscopy of excited states

International audienceWe report the spectroscopy of 11 electronic states in the radioactive molecule radium monofluoride (RaF). The observed excitation energies are compared with state-of-the-art relativistic Fock-space coupled cluster (FS-RCC) calculations, which achieve an agreement of >99.71% (within ~8 meV) for all states. High-order electron correlation and quantum electrodynamics corrections are found to be important at all energies. Establishing the accuracy of calculations is an important step towards high-precision studies of these molecules, which are proposed for sensitive searches of physics beyond the Standard Model

Pinning down electron correlations in RaF via spectroscopy of excited states

We report the spectroscopy of 11 electronic states in the radioactive molecule radium monofluoride (RaF). The observed excitation energies are compared with state-of-the-art relativistic Fock-space coupled cluster (FS-RCC) calculations, which achieve an agreement of >99.71% (within ~8 meV) for all states. High-order electron correlation and quantum electrodynamics corrections are found to be important at all energies. Establishing the accuracy of calculations is an important step towards high-precision studies of these molecules, which are proposed for sensitive searches of physics beyond the Standard Model

Flavour Physics of Leptons and Dipole Moments.

This chapter of the report of the ``Flavour in the era of the LHC'' Workshop discusses the theoretical, phenomenological and experimental issues related to flavour phenomena in the charged lepton sector and in flavour-conserving CP-violating processes. We review the current experimental limits and the main theoretical models for the flavour structure of fundamental particles. We analyze the phenomenological consequences of the available data, setting constraints on explicit models beyond the Standard Model, presenting benchmarks for the discovery potential of forthcoming measurements both at the LHC and at low energy, and exploring options for possible future experiments.Comment: Report of Working Group 3 of the CERN Workshop ``Flavour in the era of the LHC'', Geneva, Switzerland, November 2005 -- March 200