The molecular strong-field approximation is employed to study high-order harmonic generation by linear and planar polyatomic molecules exposed to an orthogonally polarized two-color laser field, which consists of two orthogonal linearly polarized components with commensurable frequencies. For such a driving field, we find that the harmonic emission rate and the shape of the spectrum strongly depend on the laser-field parameters including the relative phase and the ratio of the intensities of the two components. The values of the relative phase that correspond to the optimal harmonic emission rate, as well as the cutoff position, can be assessed using a classical model. The possible production of an isolated attosecond pulse is investigated. For suitable symmetry of the laser field an attosecond pulse train with only one attosecond pulse per cycle can be generated. Depending on the frequencies of the two field components, the molecular symmetry properties and the orientation of the molecule with respect to the field, the even harmonics can be absent from the spectrum, which can be used to determine the molecular orientation. The emitted harmonics are elliptically polarized and their ellipticity depends on the molecular orientation.

Efficiently approximating local curvature information of the loss function is a key tool for optimization and compression of deep neural networks. Yet, most existing methods to approximate second-order information have high computational or storage costs, which can limit their practicality. In this work, we investigate matrix-free, linear-time approaches for estimating Inverse-Hessian Vector Products (IHVPs) for the case when the Hessian can be approximated as a sum of rank-one matrices, as in the classic approximation of the Hessian by the empirical Fisher matrix. We propose two new algorithms as part of a framework called M-FAC: the first algorithm is tailored towards network compression and can compute the IHVP for dimension $d$, if the Hessian is given as a sum of $m$ rank-one matrices, using $O(dm^2)$ precomputation, $O(dm)$ cost for computing the IHVP, and query cost $O(m)$ for any single element of the inverse Hessian. The second algorithm targets an optimization setting, where we wish to compute the product between the inverse Hessian, estimated over a sliding window of optimization steps, and a given gradient direction, as required for preconditioned SGD. We give an algorithm with cost $O(dm + m^2)$ for computing the IHVP and $O(dm + m^3)$ for adding or removing any gradient from the sliding window. These two algorithms yield state-of-the-art results for network pruning and optimization with lower computational overhead relative to existing second-order methods. Implementations are available at [9] and [17].

With the advent of modern embedded systems, logging as a process is becoming more and more prevalent for diagnostic and analytic services. Traditionally, storage and managing of the logged data are generally kept as a part of one entity together with the main logic components. In systems that implement network connections, this activity is usually handled over a remote device. However, enabling remote connection is still considered a limiting factor for many embedded devices due to the demanding production cost. A significant challenge is presented to vendors who need to decide how the data will be extracted and handled for an embedded platform during the design concept phase. It is generally desirable that logging memory modules are able to be addressed as separate units. These devices need to be appropriately secured and verifiable on a different system since data compromise can lead to enormous privacy and even financial losses. In this paper, we present two patterns. First, a pattern that allows flexible logging operation design in terms of module and interface responsibility separation. Second, a pattern for the design of secure logging processes during the utilization of constrained embedded devices. The introduced patterns fulfil the following conditions: (i) flexibility – design is independent of the chip vendors making the logging memory modules easily replaceable, (ii) self-sufficiency – every logging controller is maintained as a separate entity in a decentralized topology, (iii) security – through providing authenticity, confidentiality, and integrity by means of using a dedicated security module.

Rank $1$ modules are the building blocks of the category ${\rm CM}(B_{k,n}) $ of Cohen-Macaulay modules over a quotient $B_{k,n}$ of a preprojective algebra of affine type $A$. Jensen, King and Su showed in \cite{JKS16} that the category ${\rm CM}(B_{k,n})$ provides an additive categorification of the cluster algebra structure on the coordinate ring $\mathbb C[{\rm Gr}(k, n)]$ of the Grassmannian variety of $k$-dimensional subspaces in $\mathbb C^n$. Rank $1$ modules are indecomposable, they are known to be in bijection with $k$-subsets of $\{1,2,\dots,n\}$, and their explicit construction has been given in [8]. In this paper, we give necessary and sufficient conditions for indecomposability of an arbitrary rank 2 module in ${\rm CM}(B_{k,n})$ whose filtration layers are tightly interlacing. We give an explicit construction of all rank 2 decomposable modules that appear as extensions between rank 1 modules corresponding to tightly interlacing $k$-subsets $I$ and $J$.

ABSTRACT Objectives: Our aim was to determine risk factors for and frequency of potential drug-drug interactions (pDDIs) among hospitalized patients with myasthenia gravis (MG). Methods: This was a retrospective cross-sectional study of the-first time hospitalized MG patients or patients hospitalized because of the exacerbation of MG at the Neurology Clinic of the Clinical Center of Serbia, Belgrade. Medical records and discharge summaries of hospitalized MG patients over a 10-year period were reviewed. The pDDIs were identified by means of Micromedex, and multivariate regression methods were used to reveal potential predictors of number of pDDIs per patient. Results: The study included 687 patients with MG. In total, 2041 pDDIs were detected in 608 (88.5%) patients. Among the discovered pDDIs, 329 different pDDIs were observed. The most frequent pDDIs were pyridostigmine-prednisone (487patients/70.9%) and aspirin-prednisone (90 patients/13.1%) classified as moderate, and enalapril-potassium chloride (71patients/10.3%) classified as major pDDI. Five drugs (aspirin, insulin, prednisone, cyclosporine, metformin) were responsible for 22.6% of different pDDIs. Dyspnea, generalized form of MG, diabetes mellitus, hypertension, total number of drugs-used, use of antiplatelets were identified as the relevant risk factors for total number of pDDIs (R2 = 0.626,F = 73.797, p < 0.001), while age of patients and history of cancer were inversely correlated with such an outcome. Conclusion: The frequency of the pDDIs in hospitalized MG patients is high, and adversely influenced by dyspnea, generalized MG, diabetes mellitus, hypertension, total number of drugs-used and use of antiplatelets.

A review of the book N. Kovačić, Tijelo kao dokaz. Medicinska vještačenja u postupcima Kaznenog suda u Dubrovniku u 18. stoljeću, Croatian Academy of Sciences and Arts - The Institute for Historical Sciences in Dubrovnik, Zagreb – Dubrovnik, 2020, pg. 240.

This review paper focuses on self-help strategies for helpers of different professions, but with an emphasis on counselor self-help strategies and challenges. At the very beginning of the work, the term self-care was defined and self-help strategies were explained. It is explained in the paper that self-care_a strategies include activities that achieve an optimal balance in the field of mental and physical health of helpers. For this reason, special attention was paid to the creation and maintenance of these strategies in the work. Activities in the function of self-help, in terms of their content and manner of performance as well as time commitment, have the purpose of providing the helper with relaxation, entertainment and emotional well-being. The paper describes the challenges of reconciling the business and family role of helpers as possible obstacles to maintaining a healthy boundary between work and family and an effective self-help and self-support strategy. The main postulates for reflecting the helper's self-help strategies are explained, with an emphasis on the sources of support that the work organization should provide and the activities that the helper can take personally. At the end of the paper, guidelines for the application of self-help strategies of professional helpers are described in order to encourage the improvement of regular use of effective self-help and self-support strategies.

The paper elaborates on the history of the Russian foreign policy towards Serbia, with special emphasis on the national interests of the Russian state, which, in addition to undoubtedly strong traditional cultural and historical ties between the two Orthodox nations, still significantly guide Russian policies towards Serbia. In other words, the subject of the paper is numerous examples and evidence of opportunism in relation between these countries and its reflection on the countries of the Western Balkans. Namely, starting from the nineteenth century onwards, Russia has emerged as a strong foreign policy partner of Serbia, thus expanding its influence on other Western Balkans countries. In this way, Russia, as a great political power, capitalizing on its own power and strong ideological, historical and cultural ties, uses Serbia to strengthen influence in the region and beyond. Starting from the historical insight in this relationship, the paper focuses on the tendency to present opportunism and pragmatism of the Russian foreign policy, guided exclusively by the Russian national interests, which is visible, both from historical perspective, and in the last twenty years. The relationship between Russia and Serbia is presented through the military, economic and diplomatic cooperation.

Isolevuglandins (IsoLGs) are highly reactive gamma ketoaldehydes formed from H2-isoprostanes through lipid peroxidation and crosslink proteins leading to inflammation and various diseases including hypertension. Detection of IsoLG accumulation in tissues is crucial in shedding light on their involvement in the disease processes. However, measurement of IsoLGs in tissues is extremely difficult, and currently available tools, including mass spectrometry analysis, are laborious and extremely expensive. Here we describe a novel method for in situ detection of IsoLGs in tissues using alkaline phosphatase-conjugated D11 ScFv and a recombinant phage-display antibody produced in E. coli by immunofluorescent microscopy. Four controls were used for validating the staining: (1) staining with and without D11, (2) staining with bacterial periplasmic extract with the alkaline phosphatase linker, (3) irrelevant scFV antibody staining, and (4) competitive control with IsoLG prior to the staining. We demonstrate the effectiveness of the alkaline phosphatase-conjugated D11 in both human and mouse tissues with or without hypertension. This method will likely serve as an important tool to study the role of IsoLGs in a wide variety of disease processes.

Empirijska rasprava o efektima uvođenja finansijskih inovacija na finansijskim tržištima nikada ne jenjava. Uprkos širokoj upotrebi, ocjeni rejting agencija i velikom prometu, tržište kreditnih derivata se i dalje smatra novim i nedovoljno istraženim. S druge strane, jačanje finansijske krize iz 2008. godine se ne može u potpunosti pripisati upotrebi kreditnih derivata, iako su oni imali značajnu ulogu u širenju krize. Iako su Zakonom o tržištu kapitala predviđeni finansijski derivati, na tržištu kapitala u Bosni i Hercegovini oni još nisu korišteni. S tim u vezi, ozbiljni autoriteti u oblasti finansijskog menadžmenta zagovaraju upotrebu kreditnih derivata za transfer kreditnog rizika jer se tako mogu značajno smanjiti iznosi gubitaka u slučaju nastanka kreditnog događaja. Ova mogućnost dobija na značaju nakon šoka uzrokovanog pandemijom virusa korona. U radu ispitujemo hipotezu po kojoj postoji značajan prostor za inovacije na domaćem tržištu kapitala. Cilj rada je analizirati sve relevantne faktore koji utiču na nastanak i razvoj kreditnih derivata. U istraživanju su korištene metode analize, sinteze, dedukcije kao i odabrani alati poslovne i finansijske analize. Primarno su korišteni sekundarni izvori podataka, poput naučne i stručne literature, te javno dostupnih statističkih baza podataka. Zaključak pokazuje da je moguće i poželjno uvođenje kreditnih derivata na tržište te navodimo domete i ograničenja, ali i identifikujemo prepreke za uvođenje ovakvih inovacija.