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Helium-3 nuclear magnetic resonance (3 He NMR) measurements were carried out for the gaseous mixtures of helium-3 with pure nitrogen and synthetic air as the solvents. It was found that 3 He shielding is linearly dependent on solvent density up to approx. 6 mol/L. At higher density of the gaseous solvent, the change of 3 He shielding is nonlinear and especially distinct when helium-3 atoms can interact with two O2 molecules. The interaction with paramagnetic oxygen molecules can induce two kinds of 3 He shielding changes: (1) due to the isotropic Fermi contact interaction and (2) from the dipolar magnetic interaction between unpaired O2 electrons and 3 He nuclear magnetic dipole moment. The two paramagnetic effects in helium-3 shielding cannot be experimentally separated, although for such small molecular objects, they could be presumably modeled by advanced theoretical calculations.

The article contains the concept and analysis of basic types of Business Intelligence (BI) systems and analysis of critical success factors of BI implementation. The complexity and diversity of BI systems means that the success of their implementation requires a methodical foundation and proven scientific theories. Article focuses on analysis of factors determining the effectiveness of implementation and use of Business Intelligence (BI) tools in organizations, depending on the implementation method applied. Currently, organizations that decide to implement BI focus their attention on the method of system implementation. BI systems have become an indispensable element of the Industry 4.0 breakthrough. Industry 4.0 is related to the integration of the existing independent digital management systems and the creation of intelligent management support systems.

The global Business Intelligence (BI) market grew by 7.3% in 2016 according to the Gartner report (2017). Today, organizations require better use of data and analytics to support their business decisions. Internet power and business trend changes have provided a broad term for data analytics - Big Data. To be able to handle it and leverage a value of having access to Big Data, organizations have no other choice than to get proper systems implemented and working. However, traditional methods are not efficient for changing business needs. Long time between project start and go-live causes a gap between initial solution blueprint and actual user requirements at the end of the project. This article presents the latest market trends in BI systems implementation by comparing agile with traditional methods. It presents a case study provided in a large telecommunications company (350 BI users) and the results of a pilot research provided in the three large companies: media, digital, and insurance. Both studies prove that agile methods might be more effective in BI projects from an end-user perspective and give first results and added value in a much shorter time compared to a traditional approach.

Prezentowany artykuł podejmuje problematykę wzajemnego związku między wiedzą i kulturą organizacyjną, które są w zarządzaniu przedsiębiorstwem obszarami ściśle się uzupełniającymi i zależnymi od siebie. U podstaw wyprowadzanych wniosków leży założenie, że kultura organizacyjna jest czynnikiem mającym kluczowe znaczenie w kontekście zarządzania wiedzą. Wiedza staje się bowiem wartością - kluczem do sukcesu współczesnych przedsiębiorstw, dostarczającą odwagi i pewności w podejmowaniu zadań

The global Business Intelligence (BI) market grew by 10% in 2013 according to the Gartner Report. Today organizations require better use of data and analytics to support their business decisions. Internet power and business trend changes have provided a broad term for data analytics--Big Data. To be able to handle it and leverage a value of having access to Big Data, organizations have no other choice than to get proper systems implemented and working. However traditional methods are not efficient for changing business needs. The long time between project start and go-live causes a gap between initial solution blueprint and actual user requirements in the end of the project. This article presents the latest market trends in BI systems implementation by comparing Agile with traditional methods. It presents a case study provided in a large telecommunications company (20K employees) and the results of a pilot research provided in the three large companies: telecommunications, digital, and insurance. Both studies prove that Agile methods might be more effective in BI projects from an end-user perspective and give first results and added value in a much shorter time compared to a traditional approach. Keywords: Agile methods, Business Intelligence, efficiency, end-users needs, advanced analytics, sprint, and iteration. Introduction BI complexity and changing requirements represent the most difficult challenges facing applications. During the process of BI implementation multiple components must be considered from the very start such as data integration, cleansing, modelling, warehousing, metrics creation and management, reports, dashboards, queries, alerts, and many more (Cerqueira, 2015). This requires a clear vision of future needs and a very well defined strategy from project sponsors and end-users. Projects take a long time to implement and their effects can be visible sometimes only after a few years (Kernochan, 2011). Today organizations require BI solutions more than they needed them in previous years and decades. Due to rapid market changes, organizations need to adapt to the new environment properly if they do not want to stay behind their competitors. This situation impacts users' requirements for data and reports. Thus BI projects final products are often found useless due to organizational needs that have changed during the time of project design and implementation (Eckerson, 2007a, 2007b; Marjanovic, 2011). Business cannot longer afford empty investments and needs to have quick benefits and an acceptable payback on the selected BI technology (Oxford Economics, 2015). Traditional methods of BI implementation are no longer efficient. An overly lengthy timeline, the inability to request timely changes that usually occur only at the end of the project, and overly complex approaches do not allow meeting customer targets (Vijaya, 2013). Agile methods brought a new view to a project delivery. It proves that success can be achieved more quickly by delivery of actual product in iteration. In this article effectiveness is measured from the added value brought by BI in a short time (less than 6 months), namely return on investment achieved after the first BI benefits appear and by meeting end-users' requirements. This article presents some initial research in order to answer the question, "Is Agile more efficient in BI implementation compared to traditional methods?" Agile vs. Traditional Implementation Approach For a better understanding of Agile methods for Business Intelligence (BI) system implementation projects, it is worth to compare Agile with the traditional / waterfall approach first. Agile methods of implementation require a change of thinking and a different approach compared to traditional waterfall methods. Traditional methods concentrate on project scope using them to determine cost and time schedule. …

We report the $^{209}\mathrm{Bi}$ magnetic moment derived from NMR experiments and first-principles calculated shielding constants of ${\mathrm{Bi}}^{3+}$ ions in aqueous solutions of $\mathrm{Bi}{({\mathrm{NO}}_{3})}_{3}$ and $\mathrm{Bi}{({\mathrm{ClO}}_{4})}_{3}$ salts. Our values represent an independent confirmation of the $^{209}\mathrm{Bi}$ magnetic moment recently determined by Skripnikov et al. [L. V. Skripnikov et al., Phys. Rev. Lett. 120, 093001 (2018)], which is of utmost importance for the interpretation of ${\mathrm{Bi}}^{82+}$ ion hyperfine splitting experiments. The accuracy limit of the $^{209}\mathrm{Bi}$ magnetic moment set by the present computational chemistry methods is discussed.

The application of 3D NMR experiments and DFT calculations enabled the structure investigation of C-17 epimer of 3-(25-hydroxycholest-5-enyl) acetate is presented. The H-17 and H-20 protons features the same values of 1H chemical shift, what causes that the structure elucidation require additional resolution enabled by 3D NMR experiments. The NMR experiments and theoretical calculations allowed for: the resonance assignment (3D COSY-HMBC and 3D TOCSY-HSQC techniques), the prediction of spatial structure (3D NOESY-HSQC and 3D ROESY-HSQC experiments), and the precise measurement of heteronuclear coupling constants (3D HSQC-TOCSY spectra with E.COSY-type multiplets).

NMR spectroscopy has become an indispensable tool for the metabolic profiling of foods and food products. In the present protocol, we report an analytical approach based on liquid-state NMR for the determination of polar and nonpolar metabolites in some common liquid (wine, spirits, juice) and solid (cheese, coffee, honey) foods. Although the diversity of foods precludes the use of a single protocol, with small modifications, the proposed methodologies can be adapted to a broader range of foodstuffs.

NMR spectroscopy has become an indispensable tool for the metabolic profiling of foods and food products. In the present protocol, we report an analytical approach based on liquid-state NMR for the determination of polar and nonpolar metabolites in some common liquid (wine, spirits, juice) and solid (cheese, coffee, honey) foods. Although the diversity of foods precludes the use of a single protocol, with small modifications, the proposed methodologies can be adapted to a broader range of foodstuffs.

A methodology based on 13C NMR spectroscopy was employed to detect and quantify fourteen mono-, di- and trisaccharide molecules in authentic Greek honey samples with no prior separation. Unambiguous assignment of 13C NMR chemical shifts has been achieved by means of two-dimensional NMR techniques using sugar model compounds. The quantitative 13C NMR method was rigorously validated (accuracy, linearity, range, limit of detection, etc.) using either single sugar molecules, or artificial mixtures of isoglucose (glucopyranose and fructose) and global mixtures of fourteen model compounds. Subsequent integration of appropriate signals in the 13C NMR spectra allowed the quantification of these compounds. The present methodology has been applied to authentic Greek honey samples and provided quantitative results for 28 sugar tautomers. The observed differentials in the content of these biomarkers amongst the various honey samples of different botanical origins are expected to form the basis for the development of a sensitive method that can be used to obtain valuable information about the authenticity of honey.

The Pictet–Spengler (PS) reaction was performed with various types of substrates: H-Trp-OMe and dipeptides with N-terminal Trp as arylethylamine components and Z-protected amino aldehydes and peptidoaldehydes as carbonyl components. We found that the C-terminal part of Trp derivatives did not have any influence on the stereoselectivity of the reaction and the results are the same for simple esters of Trp and dipeptides. On the contrary, the selectivity of the PS reaction with peptidoaldehydes with L configuration of the C-terminus residue is totally different from that obtained with simple L-amino aldehydes. It allows us to obtain cis stereoisomers, which cannot be isolated from the reaction with amino aldehydes. But the utility of the peptidoaldehydes as substrates for the PS reaction is reduced by the side formation of enamides which decrease the yield of cyclization. Copyright © 2013 European Peptide Society and John Wiley & Sons, Ltd.

The compressed sensing NMR (CS-NMR) is an approach to processing of nonuniformly sampled NMR data. Its idea is to introduce minimal l(p) -norm (0 < p ≤ 1) constraint to a penalty function used in a reconstruction algorithm. Here, we demonstrate that 2D CS-NMR spectra allow the full spectral assignment of near-symmetric β-cyclodextrin derivatives (mono-modified at the C6 position). The application of CS-NMR ensures experimental time saving and the resolution improvement, necessary because of very low chemical shift dispersion. In the overnight experimental time, the set of properly resolved 2D NMR spectra required for the unambiguous assignment of mono(6-deoxy-6-(1-1,2,3-triazo-4-yl)-1-propane-3-O-(phenyl)) β-cyclodextrin was obtained. The highly resolved HSQC spectrum was reconstructed from 5.12% of the data. Moreover, reconstructed 2D HSQC-TOCSY spectrum yielded information about the correlations within one sugar unit, and 2D HSQC-NOESY technique allowed the sequential assignment of the glucosidic units.

The global Business Intelligence (BI) market grew by 10% in 2013 according to the Gartner Report. BI has been the top implementation priority for organizations for many years now. Today organizations require better use of data and analytics to support their business decisions. Internet power and business trend changes have provided a broad term - Big Data. To be able to handle it and leverage a value of having access to Big Data, organizations have no other choice than to get proper systems implemented and working. However traditional methods are not efficient for changing business needs. Long time between project start and go-live causes a gap between initial solution blueprint and actual user requirements in the end of the project. This article presents the latest market trends in BI systems implementation by comparing Agile with traditional methods. It presents a case study provided in a large telecommunications company (20K employees) and the results of a pilot research provided in the three large companies telecommunications, digital and insurance. Both studies prove that Agile methods might be more effective in BI projects from an end-user perspective and give first results and added value in a much shorter time compared to a traditional approach. Organizations often do not have a clear vision of BI requirements. Thus users ask for changes just before a BI product readiness, which Agile ensures in contradiction to traditional methods.

The complete assignment of 1H and 13C chemical shifts of natural abundance prenol-10 is reported for the first time. It was achieved using 3D NMR experiments, which were based on random sampling of the evolution time space followed by multidimensional Fourier transform. This approach makes it possible to acquire 3D NMR spectra in a reasonable time and preserves high resolution in indirectly detected dimensions. It is shown that the interpretation of 3D COSY–HMBC and 3D TOCSY–HSQC spectra is crucial in the structural analysis of prenol-10. Copyright © 2009 John Wiley & Sons, Ltd.

An application of 3D version of HSQC–TOCSY experiment for the measurement of heteronuclear coupling constants of organic compounds yielding complex spectra is proposed. The approach presented here is based on the optimized random sampling of the evolution time space followed by Multidimensional Fourier Transform (MFT). In this study, we show that the interpretation of ω3-13C coupled 1H-13C 3D HSQC-TOCSY spectra with E.COSY-type multiplets allows one to evaluate heteronuclear coupling constants of strychnine with high accuracy, whereas the employment of 2D methods is associated with signal overlap and use of conventionally recorded 3D NMR spectra cannot provide accurate results in an overnight experiment. Copyright © 2008 John Wiley & Sons, Ltd.

The Pictet-Spengler (PS) reaction was performed with various types of substrates: H-Trp-OMe and dipeptides with N-terminal Trp as arylethylamine components and Z-protected amino aldehydes and peptidoaldehydes as carbonyl components. We found that the C-terminal part of Trp derivatives did not have any influence on the stereoselectivity of the reaction and the results are the same for simple esters of Trp and dipeptides. On the contrary, the selectivity of the PS reaction with peptidoaldehydes with L configuration of the C-terminus residue is totally different from that obtained with simple L-amino aldehydes. It allows us to obtain cis stereoisomers, which cannot be isolated from the reaction with amino aldehydes. But the utility of the peptidoaldehydes as substrates for the PS reaction is reduced by the side formation of enamides which decrease the yield of cyclization.

In this article we would like to present the significance and problems related to the realization of projects for creating a national dissemination system. It is recommended to use BI systems including the management dashboard to manage the project of building and using the system. Created in Poland, SYNAT system aims at disseminating scientific and technical information to vast audience both in Poland and abroad. The article is also concerned with issues connected with using the Open Access concept. We believe that accepting this concept is a necessary condition in building such system. The article analyses BI solutions which seem to be the most suitable for use in such projects. Using the evaluations of experts a comparative analysis of solutions in commercial use was also carried out. The results of the analysis show that it is difficult to provide a clear answer regarding the usefulness of the analyzed tools. Nevertheless, four systems were chosen: SAP Business Objects Enterprise XI, Microsoft BI tools (integrated BI offering), Oracle Enterprise BI Server, QlikView, which should undergo more detailed analysis depending on the conditions of a given project. Both authors of the article participate in the SYNAT project. Jerzy Kisielnicki has been responsible for the recommendation of the project management tool and Anna Maria Misiak has carried out the tool research and evaluation highlighting the most adequate solutions for project usage.

The compressed sensing NMR (CS-NMR) is an approach to processing of nonuniformly sampled NMR data. Its idea is to introduce minimal l(p) -norm (0p ≤ 1) constraint to a penalty function used in a reconstruction algorithm. Here, we demonstrate that 2D CS-NMR spectra allow the full spectral assignment of near-symmetric β-cyclodextrin derivatives (mono-modified at the C6 position). The application of CS-NMR ensures experimental time saving and the resolution improvement, necessary because of very low chemical shift dispersion. In the overnight experimental time, the set of properly resolved 2D NMR spectra required for the unambiguous assignment of mono(6-deoxy-6-(1-1,2,3-triazo-4-yl)-1-propane-3-O-(phenyl)) β-cyclodextrin was obtained. The highly resolved HSQC spectrum was reconstructed from 5.12% of the data. Moreover, reconstructed 2D HSQC-TOCSY spectrum yielded information about the correlations within one sugar unit, and 2D HSQC-NOESY technique allowed the sequential assignment of the glucosidic units.

Fourier transform can be effectively used for processing of sparsely sampled multidimensional data sets. It provides the possibility to acquire NMR spectra of ultra-high dimensionality and/or resolution which allow easy resonance assignment and precise determination of spectral parameters, e.g., coupling constants. In this chapter, the development and applications of non-uniform Fourier transform is presented.

The complete assignment of (1)H and (13)C chemical shifts of natural abundance prenol-10 is reported for the first time. It was achieved using 3D NMR experiments, which were based on random sampling of the evolution time space followed by multidimensional Fourier transform. This approach makes it possible to acquire 3D NMR spectra in a reasonable time and preserves high resolution in indirectly detected dimensions. It is shown that the interpretation of 3D COSY-HMBC and 3D TOCSY-HSQC spectra is crucial in the structural analysis of prenol-10.

In this communication we present the application of a new method, which enables one to acquire 3D NMR spectra in a reasonable time and preserves high resolution in indirectly detected domains. The new method is based on random distribution of time domain data points followed by Quaternion FT with respect to two time variables in one step. The experimental examples include three-dimensional spectra of strychnine in CDCl3, TOCSY-HSQC, COSY-HMBC, and the new technique proposed here: heteronuclear single quantum multiple bond correlation (HSQMBC). The obtained spectra are compared to those recorded at the same time employing the conventional acquisition scheme. We show that high-quality 3D spectra of organic compounds can be obtained in reasonable experimental time and that they are of great interest in cases when direct analysis of 2D spectra is difficult. Copyright © 2006 John Wiley & Sons, Ltd.

In this review we discuss recent advances in the field of NMR structural studies of proteins. We mention the development of new spectrometer hardware, novel experimental techniques and sample preparation. The approaches improving obtained structures, like analysis of Residual Dipolar Couplings, and enabling studies of large molecules as for example TROSY and CRINEPT are compared. As the most important, achievements in the field of fast multidimensional NMR are discussed in details.