Abstract We develop a critique of government interventionism based on the Misesian calculation argument against socialism. If private property rights and relative prices based on supply and demand are necessary for successful economic coordination, then conventional market failure theories cannot be sustained. Government interventionism based on the idea of correcting “market failures” is analytically just a milder form of socialist central planning. Between the two, there are only differences in degree, not in kind. We criticize several public choice and law and economics scholars for disregarding this Misesian angle in their market failure theories. In our view they are reducible to arguments based on a fallacious political economy while perpetuating false neoclassical economic analysis of market failure theorists. We claim that government interventionism is just a milder form of socialist central planning. Therefore, the traditional arguments against the efficiency of central planning also apply to government interventions aiming at fixing market failures. In particular, we maintain that governments face the “knowledge problem”, which means that they cannot determine the optimal allocation of resources. In section two of this paper we discuss market failure and economic calculation. Section three is given over to our claim that the “Nirvana fallacy” is itself fallacious. The burden of section four is to address Coase and consequences. We conclude in section five.

A biographical note on Teodora Krajewska (1854-1935) reveals the details of her life and professional activities as an Austro-Hungarian and Yugoslav health officer (Amtsärztin) in Tuzla (1893-1899) and in Sarajevo (1899-1923). Teodora Krajewska, née Kosmowska was the third of nine official female doctors employed by the Austro-Hungarian administration in occupied Bosnia and Herzegovina (BH: 1878-1918) and charged with the special task of popularising public health and hygiene, particularly among Muslim women. A Polish intellectual and fervent patriot from Warsaw, Krajewska had left Congress Poland as a young widow in 1883 to study medicine in Geneva, Switzerland. In 1890, she became the first woman in Europe to be employed as an assistant professor at the medical faculty of the University of Geneva but was forced to resign in 1892. In the same year, she was both awarded her doctorate and appointed to the position of an Austro-Hungarian female health officer in Tuzla. After being nationalised in Austria, she reported for duty in Tuzla in March 1893. In 1899, she accepted her transfer to a newly created position in Sarajevo where she was active as an official physician until 1922/23. She contributed to contemporary medical science through her research on leprosy and osteomalacia in Bosnia. She returned to Warsaw in 1928 and devoted herself to the translation of Serbo-Croatian literature and writing her memoirs on her life and activities in BH.

With the development of smart cities, the demand for artificial intelligence (AI) based services grows exponentially. The existing works just focus on cloud- edge or edge-device cooperative AI which suffers low learning efficiency of AI, while edge-to-edge cooperative AI is still an unresolved issue. Moreover, the existing researches concentrate on the computation offloading of the AI-based task, ignoring that it is a brain-like task performing sophisticated processing to raw data, which leads to the high latency and low quality of the learning services. To address these challenges, this paper proposes an on-demand learning offloading mechanism for edge-to-edge cooperative AI. Firstly, the principle of the learning capability and its offloading are proposed for the formal description of the learning resources migration. Secondly, the proposed mechanism realizes the bilateral learning offloading utilizing edge-to-edge and cloud-edge collaborations to handle AI-based tasks with high learning efficiency and resource utilization rate. Moreover, we model the edge-to-edge learning offloading allocation based on the concatenation of deep neural network (DNN) subtasks and their heterogeneous requirement of learning resources. Simulation results indicate the rationality and efficiency of the proposed mechanism.

Andrija Stampar (Drenovac, September 1, 1888–Zagreb, June 26, 1958) was a distinguished scholar in the field of Social medicine from Croatia. He enrolled at the Medical School in Vienna in 1906, which was at the time the most important medical center in the world. As a medical student, he initiated the editing of medical papers and wrote pamphlets and articles with the intention of educating people in health matters. In 1909 in Nova Gradiska he started publishing the series called Public Health Library discussing numerous topics regarding health and prevention. On 23 December 1911, he was awarded the title of Doctor of Universal Medicine (doctor medicinae universae). On 1 January 1912, Dr. Stampar started working at the town hospital at Karlovac and remained at this post till 8 August 1913.

This year Academy of medical sciences of Bosnia and Herzegovina (AMNuBiH) celebrates Anniversary - ten years from founding in the year 2009. Goals of founding of AMNuBiH were: a) promotion of medical sciences, b) improvement of all biomedical disciplines, and c) affirmation of contribution of biomedical sciences in the development of sciences in Bosnia and Herzegovina generally and especially in medicine in the country and abroad. AMNuBiH activities are: organization of scientific and professional meetings and publishing their results of research and investigations which promote B&H medical sciences and improve the health care system of B&H. Also, publishing of AMNuBiH indexed journals: Medicinski arhiv (Medical Archives), Materia Socio-Medica and Acta Informatica Medica, and cooperation with institutions in the country and abroad which goals and activities are the same or similar as AMNuBiH activities. Currently. Academy has 33 members. Facts about AMNuBiH activities during past 10 years are described in the book “Ten years of Anniversary of AMNuBiH: 2009-2019) and deposited on official web site of Academy: www.amn.ba.