The aim of this paper is to look at the quantitative dimension of public space resources in Polish cities, a comparative analysis of these resources, determining the share of public space in the urban spatial structure and referring this structure to European cities. The concept of ‘public space resources’ has been introduced, and is defined as those areas in the city that fulfill or can fulfill the functions of public space. This concept, and then the proposal of its operationalization, aimed to draw attention to the spatial and physical aspects of public space, which would allow to broaden and supplement social approaches in the study of public space. The quantitative approach to public space proposed in the paper also enabled a comparative research to assess the role of public space in the structure of Polish cities in a more objective manner and refer it to European cities.

In the article, the significance and essence of management of intelligent manufacturing in

the era of the fourth industrial revolution has been presented. The current revolution has

a large impact on the operation of the company. Through the changes resulting from the

application of modern technologies, production processes are also undergoing revolutions,

which results in changes in such indicators of business development. Management of intelligent

manufacturing is also a challenge for socially responsible activities; due to solutions of

Industry 4.0, enterprises directly and indirectly influence environmental protection, which

results in benefits for all mankind. In the article, the analysis and assessment of management

of intelligent manufacturing, using modern technologies during the production process,

has been carried out, with particular emphasis on the components of management such as:

monitoring, control, autonomy, optimization. Moreover, the impact of the above components

of management on changes in the following indicators (KPI – Key Performance Indictors)

has been evaluated, i.e. (1) quality, (2) rapidity of the production process implementation,

(3) performance and (4) productivity, (5) decrease in waste generated during the technological

process and (6) amount of consumed electricity. For the purposes of conducting the

research, a case study has been used, developed due to the information shared by the company

manufacturing machinery and equipment for the polymer processing industry, in which

intelligent solutions of Industry 4.0 are being applied. The presented article is a significant

contribution to the current development of knowledge in the field of implementing Industry

4.0 solutions for polymer processing. The article is a combination of theoretical and practical

knowledge in the field of management and practical industrial applications. It refers to the

most current research trends.

In this paper our results of investigation on a pump power combiner in a configuration of 7×1 are presented. The performed combiner, with pump power of 80–85% transmission level, was successfully applied in a thulium doped fibre laser. The performed all-fibre laser setup reached a total CW output power of 6.42 W, achieving the efficiency on a 32.1% level

The following article presents the results of selected properties of regranulates of polyamide 6.6, regranules of polyamide contaminated with polypropylene and regranules of polyamide contaminated with silicone. The tested materials came from the reprocessing of polyamides 6.6 originally derived from production of airbags from renowned world producers (material for the research came from production waste). The results of examination were referred to regranulates of uncontaminated polyamide but also obtained from waste from the production of these airbags.
The influence of impurities on properties of regranulates such as their density and melt flow index was assessed. The tests allowed to show a significant impact of impurities on the density but above all on the mass and volume flow rate index which ranged from 47 to 116 g/10 min.
In the case of standardized test specimens selected thermal and mechanical properties were analyzed. Differential scanning calorimetry was used to assess the impact of impurities on the thermal properties of polyamides, allowing primarily identification of materials and impurities (especially polypropylene) as well as characteristic temperatures and the enthalpy of melting of the materials being analyzed. The mechanical properties were assessed using a DMA device. DMA research allowed to determine changes in mechanical properties in a wide temperature range of tested materials. It allowed to obtain full characteristics of changes in material stiffness under the influence of two factors, i.e. temperature and content of impurities, like polypropylene or silicone.

In the case of mining machines, tribocorrosion damage is often observed. This type of consumption is caused by the joint action of mining environment factors such as abrasive and water. The search for methods to counteract tribocorrosion is of great practical importance, but it must be combined with the knowledge of methods of forecasting the value of wear. This paper presents a model of prediction of tribocorrosive wear adapted to corrodible materials – ADI containing Ni and Cu, with the strength class of 800 MPa – and results of a two-stage study on the tribocorrosive wear. Presented results indicate a distinct effect of synergy between friction and corrosion in the total wear of ADI. The tribocorrosion tests confimed the adequacy of the model developed for the ADI.

A characteristics of three extracellular metabolites produced by Bacillus coagulans strain that were supposed to be responsible for its fungistatic activity against Trichothecium roseum has been done by TLC, GC-MS and Western blotting methods. It was shown that these compounds of molecular weights as 41, 45 and 65 kDa secreted to the medium by bacteria had glycoprotein properties and did not become inactive when boiled for 20 min., as characteristic for glycoprotein.

The aim of this study was to present the results of the examinations of the structure and thermomechanical properties of PA6/NanoBent composite. NanoBent composites composed of minerals from the smectite group (mainly montmorillonite) were used for modification of polyamide 6. PA6 composite with content of 1, 3, 5% of NanoBent was prepared in a Theysohn TSK 75-N twin screw extruder. The samples were prepared using the injection technology by means of a Krauss-Maffei KM65-160 C1 injection molding machine. The samples of composites obtained at different injection temperatures and injection mold temperatures were used for the examinations. Degree of crystallinity was examined using the DSC method whereas the material structure was examined with an optical microscope. DSC studies showed a reduction in the value of the degree of crystallinity with the increasing content of nanofiller in the polymer material. The narrowing of the peak was recorded in the DSC thermograms for nanocomposites with greater percentage of the nanofiller. Dynamical properties of polyamide 6 nanocomposite were also determined in relation to temperature and frequency. The samples were bended at frequencies of 1 Hz and 10 Hz over the temperature range from –100°C to 180°C and the heating rate of 2K/min. A significant increase in storage modulus was observed for PA6 samples with the content of 5% of NanoBent obtained at the injection temperature of 270°C and mold temperature of 70°C. Smaller size of spherulites and arrangement of structural elements in clusters along the line of polymeric material flow in the mold cavity at higher contents of NanoBent were observed during structural examinations of the composites.

Our research provides novel information concerning the insecticidal activity of Brassica alba mustard oil applied to the intestinal tract via insects’ diet against pests from the order Lepidoptera: Cydia pomonella, Dendrolimus pini, and Spodoptera exigua. The LC50 value of the oil against C. pomonella was 0.422 mg ⋅ ml–1. The LC50 of the plant oil against D. pini was 11.74 mg ⋅ ml–1. The LC50 of the botanical product against S. exigua was 11.66 mg ⋅ ml–1. The plant substance was the most active against C. pomonella in comparison with D. pini and S. exigua. The LC50 values of the oil against D. pini and S. exigua were similar. The plant oil exhibited high insecticidal activity against pests from the order Lepidoptera and may prove to be an effective biopesticide.

Approximately 30 million tons of tailings are being stored each year at the KGHMs Zelazny Most Tailings Storage Facility (TSF). Covering an area of almost 1.6 thousand hectares, and being surrounded by dams of a total length of 14 km and height of over 70 m in some areas, makes it the largest reservoir of post-flotation tailings in Europe and the second-largest in the world. With approximately 2900 monitoring instruments and measuring points surrounding the facility, Zelazny Most is a subject of round-the-clock monitoring, which for safety and economic reasons is crucial not only for the immediate surroundings of the facility but for the entire region. The monitoring network can be divided into four main groups: (a) geotechnical, consisting mostly of inclinometers and VW pore pressure transducers, (b) hydrological with piezometers and water level gauges, (c) geodetic survey with laser and GPS measurements, as well as surface and in-depth benchmarks, (d) seismic network, consisting primarily of accelerometer stations. Separately a variety of different chemical analyses are conducted, in parallel with spigotting processes and relief wells monitorin. This leads to a large amount of data that is difficult to analyze with conventional methods. In this article, we discuss a machine learning-driven approach which should improve the quality of the monitoring and maintenance of such facilities. Overview of the main algorithms developed to determine the stability parameters or classification of tailings are presented. The concepts described in this article will be further developed in the IlluMINEation project (H2020).