Metal-Promoted Heterocyclization: A Heterosynthetic Approach to Face a Pandemic Crisis

The outbreak of SARS-CoV-2 has drastically changed our everyday life and the life of scientists from all over the world. In the last year, the scientific community has faced this worldwide threat using any tool available in order to find an effective response. The recent formulation, production, and ongoing administration of vaccines represent a starting point in the battle against SARS-CoV-2, but they cannot be the only aid available. In this regard, the use of drugs capable to mitigate and fight the virus is a crucial aspect of the pharmacological strategy. Among the plethora of approved drugs, a consistent element is a heterocyclic framework inside its skeleton. Heterocycles have played a pivotal role for decades in the pharmaceutical industry due to their high bioactivity derived from anticancer, antiviral, and anti-inflammatory capabilities. In this context, the development of new performing and sustainable synthetic strategies to obtain heterocyclic molecules has become a key focus of scientists. In this review, we present the recent trends in metal-promoted heterocyclization, and we focus our attention on the construction of heterocycles associated with the skeleton of drugs targeting SARS-CoV-2 coronavirus.

A Step-by-Step Tutorial on Active Inference and its Application to Empirical Data

The active inference framework, and in particular its recent formulation as a partially observable Markov decision process (POMDP), has gained increasing popularity in recent years as a useful approach for modelling neurocognitive processes. This framework is highly general and flexible in its ability to be customized to model any cognitive process, as well as simulate predicted neuronal responses based on its accompanying neural process theory. It also affords both simulation experiments for proof of principle and behavioral modelling for empirical studies. However, there are limited resources that explain how to build and run these models in practice, which limits their widespread use. Most introductions assume a technical background in programming, mathematics, and machine learning. In this paper we offer a step-by-step tutorial on how to build POMDPs, run simulations using standard MATLAB routines, and fit these models to empirical data. We assume a minimal background in programming and mathematics, thoroughly explain all equations, and provide exemplar scripts that can be customized for both theoretical and empirical studies. Our goal is to provide the reader with the requisite background knowledge and practical tools to apply active inference to their own research. We also provide optional technical sections and several appendices, which offer the interested reader additional technical details. This tutorial should provide the reader with all the tools necessary to use these models and to follow emerging advances in active inference research.

China's ecological path

For almost two decades, the People's Republic of China has been on the path of complete environmental transformation and redesign of its image in the international community. China is becoming not only an active but also a dominant participant in the global fight against climate change. In addition, China is firmly determined to change its internal environmental situation and its policy of further industrial progress, harmonizing its own political goals with the generally accepted environmental goals of humanity. The paper presents the basic facts concerning certain historical and political circumstances, which caused flawed attitudes towards the environment in China. It also describes the radical ecological and political distancing from the previous disregard of ecological problems and the recent formulation of ten new goals, i.e., policies, which are contained in the new ideology of "ecological civilization". A special review is given of the ecological elements of the Belt and Road initiative and previous Chinese achievements in ecological and technological development. The conclusion also proposes the directions for possible cooperation between China and Serbia in the field of ecological and technological development.

Love and Marxism

Erik Olin Wright’s scholarship is often considered to be formed by two entirely disjoint projects represented by his early work on class analysis and his later writings on “real utopias.” This essay uses Michael Burawoy’s recent formulation of the “two Marxisms” thesis as a foil to argue for the continuities rather than discontinuities in the body of work produced by Wright. More particularly, the critical spirit of the real utopias project infused Wright’s work on class analysis from its inception. It is further argued that the limitations Wright encountered in realizing those critical aims directly seeded the search in his later work for institutional design principles and an explicit articulation of normative values that could undergird alternatives to capitalism.

Recent Formulation Advances and Therapeutic Usefulness of Orally Disintegrating Tablets (ODTs)

This review highlights the recent formulation advances (different methods of preparation involving various novel approaches) that have been advancing the use of ODT as a popular dosage form. Furthermore, the important characteristics of ODTs that are required for patient compliance and appropriate therapeutic benefit are discussed. In addition to conventional ODTs, ODTs formulated for controlled release of pharmaceuticals and taste masking are also discussed.

ON ADHESIVE THEORIES IN MULTILAYERED INTERFACES, WITH PARTICULAR REGARD TO "SURFACE FORCE APPARATUS" GEOMETRY

Adhesion is a key factor in many tribological processes, especially wear. We generalize a recent formulation for the indentation of a multilayered material using an efficient integral transform method, to the case of adhesion, using a simple energetic transformation in the JKR regime. Then, we specialize the study for the geometry of the Surface Force Apparatus, which consists of two thin layers on a substrate, where the intermediate layer is softer than the other two. We find the pull-off force under "force control" (i.e. for "soft" loading systems), as well as under "displacement control" (i.e. for "rigid" systems), as a function of the geometrical thicknesses and material properties ratios, and the method is fully implemented in a fast Mathematica code, available to the public (see Appendix).

Improving Background Error Covariances in a 3D Ensemble–Variational Data Assimilation System for Regional NWP

Following the recent development of a three-dimensional ensemble–variational (3DEnVar) data assimilation algorithm for the AROME-France NWP system, this paper examines different approaches to reduce the sampling noise in the ensemble-derived background error covariances in this new scheme without modifying the background ensemble generation strategy. We first examine two variants of scale-dependent localization: one method consists of applying different amounts of localization to different ranges of background error covariance spatial scales, while simultaneously assimilating all of the available observations. Another separate approach uses time-lagged forecasts in order to increase the effective ensemble size, up to a factor of 3 here. This approach of time-lagged forecasts is considered both on its own and together with scale-dependent localization. When the background error covariances are derived from the most recent 25-member ensemble forecasts, the results from data assimilation cycles over a 33-day winter period show that avoiding cross covariances between scales in the scale-dependent localization formulation first proposed by Buehner performs better than the more recent formulation of Buehner and Shlyaeva. However, when increasing the effective ensemble size to 75 members with time-lagged forecasts, the two scale-dependent formulations provide similar forecast improvements overall. It is also found that the lagged-members approach outperforms scale-dependent localization on its own. The largest forecast improvements are obtained when combining the two approaches.