Artificial Intelligence in HRM

Artificial intelligence's ability to enhance the applicant and employee involvement by automating routine, low-value responsibilities, and freeing up time to concentrate on the more planned, innovative work that teams need and want to do has been a burning topic in the research world for years. The technology may lead to improved recruitment, performance evaluations, training, and career management approaches. This literature review looks at artificial intelligence in HRM in terms of recruitment, performance measurement, training and coaching, and career management operations. It allows HR departments to enhance the applicant and employee experience by automating low-value, routine activities, allowing resources to concentrate on more strategic, disruptive work.

Social networking as a tool for educational effectivenes in the residential welcoming coming communities

The educational experience of Welcoming Communities in Italy is not well known in the academic research world, even if it has more than fifty years of history. It is present in all regions of the country and it has produced significant results with the most fragile people hosted, thanks to its pedagogical and cultural guidelines. This contribution—based on data collected from a field research in a Community—highlights the relevance of Social Networking with local resources. This is a practical application in social health education, which is effective in combating isolation, mental distress and social inequalities and in promoting health, psychological autonomy and social and work inclusion of vulnerable people. This practice is particularly important during this period, when significant relationships are adversely affected by the ongoing Covid-19 pandemic.

The Photocatalytic Effects of Modified Hydrothermal Nanotitania Extraction on the Skin and Behavior of Sprague-Dawley Rats

Background. Potential antibacterial substances, such as titanium dioxide (TiO2), are being extensively studied throughout the research world. A modified hydrothermal nanotitania extraction was shown to inhibit Staphylococcus aureus growth in the laboratory. However, the toxicity effect of the extract on rats is unknown. In this study, we observed the effects of a modified hydrothermal nanotitania extraction on the skin and behavior of Sprague-Dawley rats. Methods. Sprague-Dawley (Rattus norvegicus) rats were used as the experimental animals. The skin around the dorsum of the tested animals was shaved and pasted with 0.1 mg and 0.5 mg of the nanotitania extraction. The color and condition of the pasted area and the behavior of the animals were observed. Results. 0.1 mg nanotitania extraction application on the dorsum of the rat produced no skin color changes at day 1, day 3, day 5, or day 7 postapplication. There were no changes in their behavior up to day 7 with no skin rashes or skin scratches seen or fur changes. However, 0.5 mg of nanotitania extraction resulted in redness and less fur regrowth at day 7. Conclusions. A 0.1 mg modified nanotitania extraction was observed to have no effect on the skin of Sprague-Dawley rats.

Making the Environmental Humanities Consequential in “The Age of Consequences”

This article suggests that global environmental assessments (GEAs) may be a potent means for making the environmental humanities more consequential outside universities. So far most GEAs have been led by geoscientists, with mainstream social science in support. However, there is no reason why the concept of assessment cannot be elasticated to include the concerns of interpretive social science and the humanities. Building on the forty-year history and authority of GEAs as a means to bridging the gap between the research world and the wider world, this article identifies the potential that reformatted assessments hold for more impactful work by environmental humanists. It suggests some next steps for rethinking the means and ends of assessment toward a new paradigm that bridges geoscience, mainstream social science, and humanistic thinking about the nonhuman world. This paradigm would explore the human dimensions of environmental change fully. The timing is propitious: independently GEAs are undergoing change at the very moment that the “What next?” question is being asked by many environmental humanists. This article is intended to inspire debate and, ultimately, action. It both makes the case for more humanistic GEAs and offers examples of potential work packages.

Valorisation of agri-food waste and mealworms rearing residues for improving the sustainability of Tenebrio molitor industrial production

The challenge of feeding over 9 billion humans by 2050 requires a ‘rethink’ of the current linear food production system. In the view of a circular economy, insects can provide a possible solution to valorise waste to produce new foods and materials, as well as the opportunity to solve some environmental problems. Tenebrio molitor (TM) is the first insect approved by the European Commission as a novel food and widely explored by the research world. Although mass production of TM is still not competitive compared to traditional protein sources, studies and companies in the sector are improving the entire production process to meet the growing need for alternative and sustainable protein foods. The use of food loss and waste to replace commercial feed in TM rearing can improve the economic and environmental sustainability of the production process. Furthermore, the exploitation of the variety of TM-based products can lead to the creation of new value chains and employment opportunities. In this review, we focus on the ability of TM to convert low-value substrates into novel foods and materials, as well as the possibility of using the TM rearing waste to obtain fertilisers and bioproducts, such as chitin and chitosan. TM capacity to degrade plastic waste such as polyethylene and polystyrene, thanks to its highly differentiated gut microbiota, is mentioned. Critical aspects related to sustainability and scaling-up of TM rearing are analysed. Hints on food safety of TM-based products are provided. Therefore, this study is a comprehensive review of TM multifunctionality and, at the same time, identifies possible ways to improve the economic and environmental impact of this insect with a circular economy perspective.

Iris Code Capacity Analysis

Daugman’s design of IrisCode continues fascinating the research world with its practicality, efficiency, and outstanding performance. The limits of Daugman’s recognition system, however, remain unquantified. Multiple approaches to scale performance have been explored in the past. Despite them, the problem of finding the capacity of IrisCode remains open.<br>In an attempt to fill the gap in understanding the performance limits of Daugman’s algorithm, we turn to an analysis of the relationship between the size of the population that the IrisCode can effectively cover and the iris sample quality. Given Daugman’s IrisCode algorithm, the problem of finding its capacity is cast as a basic Rate-Distortion/Channel Coding problem. The Hamming, Plotkin, and Elias-Bassalygo upper bounds on the population of a binary code under the constraint of a minimum Hamming Distance between any two codewords is applied to relate the number of iris classes that the IrisCode algorithm can sustain and the quality of iris data expressed in terms of Hamming Distance.<br><br>

Iris Code Capacity Analysis

Daugman’s design of IrisCode continues fascinating the research world with its practicality, efficiency, and outstanding performance. The limits of Daugman’s recognition system, however, remain unquantified. Multiple approaches to scale performance have been explored in the past. Despite them, the problem of finding the capacity of IrisCode remains open.<br>In an attempt to fill the gap in understanding the performance limits of Daugman’s algorithm, we turn to an analysis of the relationship between the size of the population that the IrisCode can effectively cover and the iris sample quality. Given Daugman’s IrisCode algorithm, the problem of finding its capacity is cast as a basic Rate-Distortion/Channel Coding problem. The Hamming, Plotkin, and Elias-Bassalygo upper bounds on the population of a binary code under the constraint of a minimum Hamming Distance between any two codewords is applied to relate the number of iris classes that the IrisCode algorithm can sustain and the quality of iris data expressed in terms of Hamming Distance.<br><br>