Šiuolaikinio žmogaus sielos problema

Straipsnyje analizuojamas šiuolaikinis žmogus. Ši sąvoka reiškia ne kiekvieną dabartiniu metu gyvenantį žmogų, o tik tą, kuriam būdingas aukščiausias sąmoningumas. Dėl šios savybės šiuolaikinis žmogus yra vienišas ir nuodėmingas: aukštesnis sąmoningumas lemia nutolimą nuo pirmapradžio išskydimo visuotinėje pasąmonėje. Aukštesnis sąmoningumas yra kaltė. Aptariama šiuolaikinės psichologijos savybės, žmogaus ir visuomenės dvasinės problemos. Teigiama, kad didelis domėjimasis psichologija liudija gilius žmonijos sielos sukrėtimus. Apibūdinamos šiuolaikinės žmonijos esminės vertybinės nuostatos – išorinio pasaulio sureikšminimas, visuotinės gerovės ir humaniškumo idealai. Aptariamos domėjimosi siela, subjektyviais faktoriais priežastys

Der inhalt der psychose.

Akademischer vortrag, gehalten im rathause der stadt Zürich am 16. jänner 1908

Creativity out of chaos

Creativity is said to be highly desired in post-modern and post-industrial organizations Creativity and anarchy on the one hand, and managerialism, on the other, can be seen as different forms of knowledge, two opposed ideals. In many organizational as well as societal reforms we currently observe it is the managerialist ideal that wins over the anarchic. In this paper, we wonder if people fear anarchy? We reflect on the possible reasons for the fear, and we also try to explain why we believe that anarchic organizing should not be avoided or feared

Il ritorno a casa secondo Primo Levi

Primo Levi recounts two journeys: a real one in La Tregua, and a fictitious one in Se non ora, quando? In both cases he has to deal with the romance’s structure and its stereotypes, which tend to negate realism. For this reason the writer adopts proceedings to defuse romance and happy ending

AI is a viable alternative to high throughput screening: a 318-target study

: High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery