Technoeconomic, environmental and safety criteria generally affect the management of metallic and non-metallic mining operations. The first basic question that needs to be addressed when planning ore mining is which methods are adequate and what is the optimal mining technology? Due to the complex geologic framework of ore deposits, geological exploration has rendered synonymous the inherent uncertainties, vagueness, and inaccuracies. As a result, subjective evaluation by engineers and expert experience have become increasingly important. Given that the natural language used by miners and geologists is most suited for relaying knowledge and expressing opinions, the paper tests a fuzzy optimization methodology that uses linguistic variables. Consequently, extent analysis is applied to fuzzy AHP by means of triangular fuzzy numbers to arrive at a decision about the optimal mining technology. The entire procedure constitutes an integrated mine management system, which will contribute to sustainable production in the future. A case study to which the model was applied is presented in the paper.

Attack graphs are a tool for analyzing security vulnerabilities that capture different and prospective attacks on a system. As a threat modeling tool, it shows possible paths that an attacker can exploit to achieve a particular goal. However, due to the large number of vulnerabilities that are published on a daily basis, they have the potential to rapidly expand in size. Consequently, this necessitates a significant amount of resources to generate attack graphs. In addition, generating composited attack models for complex systems such as self-adaptive or AI is very difficult due to their nature to continuously change. In this paper, we present a novel fragment-based attack graph generation approach that utilizes information from publicly available information security databases. Furthermore, we also propose a domain-specific language for attack modeling, which we employ in the proposed attack graph generation approach. Finally, we present a demonstrator example showcasing the attack generator's capability to replicate a verified attack chain, as previously confirmed by security experts.

Magnetic nanoparticles can be electrostatically assembled around sperm cells to form biohybrid micro robots. These biohybrid microrobots possess sufficient magnetic material to potentially allow for pulse-echo localization and wireless actuation. Alternatively, magnetic excitation of these nanoparticles can be used for localization based on Faraday's law of induction using a detection coil. Here, we investigate the influence of the electrostatic attraction between positively charged nanoparticles and negatively charged sperm cells on the activation of the nanoparticles during nonlinear differential magnetometry and wireless magnetic actuation. Activation of clusters of free nanoparticles and nanoparticles bound to the body of sperm cells is achieved by a combination of a high- frequency alternating field and a pulsating static field. The nonlinear response in both cases indicates that constraining the nanoparticles is likely to yield significant decreases in the magnetometry sensitivity. While the attachment of particles to the cells enables wireless actuation (rolling locomotion), the rate of change of the magnetization of the nanoparticles decreases one order of magnitude compared to free nanoparticles.

A unifying design perspective is presented for emulation-based (dynamic) event-triggered state-feedback control of nonlinear systems. The main component of this new approach is to interpret event-triggered controlled systems as the interconnection of hybrid dynamical systems and to analyze the overall system using a hybrid small gain theorem. Based on this new perspective, we unify several event-triggered schemes that were previously proposed in the literature under one umbrella. Moreover, the design approach offers great flexibility and can be used for the development of novel event-triggered schemes and systematic modification and improvement of existing triggering strategies. In this article, we illustrate via simulations that these novel and/or modified event-triggered controllers can lead to a further reduction in the required number of transmissions, while still guaranteeing stability.

Abstract Background Foreign Body (FB) injuries in children are a relevant public health problem associated with significant morbidity and mortality. The characterization of objects causing the injuries is an essential step for developing effective prevention strategies. Scanning the objects causing the injuries would help identify characteristics that make the objects dangerous for young children. The study aims to use 3D scanning within a large series of FB injuries collected in the Susy Safe database to develop a system able to identify the risk profile of everyday objects based on information collected through the scanning study. Methods The Susy Safe is the largest international registry collecting data on FB injuries in children under the age of fifteen. It collects almost 35,000 cases. For each case, information about the child, the object, and the circumstances of the injuries are collected. Furthermore, whenever possible (according to the object type and the approach used for FB removal) also the object is collected. Such objects are undergoing 3D scanning with structured light technology, a common non-contact scanning method allowing for 3D digitization of all dimensions and appearances. Results Currently, 383 objects have undergone 3D scanning. Most objects were made of a stiff material (60%). The scanning of the objects is still ongoing. The digitalized information for each object is collected in a REDCap repository together with all information about the FB injury and the picture of the object. Conclusions The final aim of the project is to develop a web-based application able to identify dangerous objects, based on shape and size parameters, according to the data collected through the scanning. Its objective is to make people aware of the risks posed by particular objects, especially parents and guardians of children. Furthermore, through the web-based application, parents will be able to report injuries and share images on FBs. Key messages • 3D scanning would be a promising opportunity to improve primary prevention of foreign body injuries. • Integrating data from 3D scanning and surveillance systems would represent the basis for the development of a web application able to assist families in identifying hazardous objects.

Illegal dumping of waste material is present in almost all local communities in Bosnia and Herzegovina, including in the areas of urban and rural local communities of the City of Tuzla. Uncontrolled waste dumping at the landfields, as the illegal dumping, are created by dumping different types of waste material in areas that are not intended for waste material disposal. These are areas that are usually next to roads with less traffic, or in the immediate vicinity of roads where access is possible for motor vehicles with a lower load capacity. Illegal landfills have a direct negative impact on the living environment from several aspects. Primarily, watercourses and soil are polluted, the ambient space is disturbed, and by attracting animals, there is the possibility of infections that are dangerous for the population. Waste materials in illegal landfills are often deliberately set on fire, which causes additional problems of air pollution with smoke and gases resulting from combustion, as well as the possibility of fire outbreaks, especially in forest areas. In the current practice, illegal waste landfills did not have scientific and professional interest because they are often of a temporary nature and were not considered interesting from the aspect of the scientific approach to defining landfills by different classifications. This paper defines the classification of illegal landfills in the spheres of data processing possibilities of interest for the treatment of illegal waste landfills, and the experimental definition of the classification was confirmed on the example of the recording and analysis of illegal waste landfills in the local community of Kiseljak, City of Tuzla in the phase of implementing the project „Inclusive development of Kiseljak community for improvement of social and economic aspect of citizens, emphasizing Roma population“, finance by Foundation of Tuzla community, Tuzla. The basis of the classification is made up of repetitive local waste landfills, while permanent regional waste landfills are not the subject of research and classification since there are already known classifications for permanent waste material landfills. Consent for the publication of the paper was given by the Tuzla Community Foundation, which financed the referral research within the project "Inclusive development of the Kiseljak community, for the improvement of the social and economic aspects of the citizens' life, especially the Roma", implemented by the Tuzla Community Foundation in partnership and financial support of the Freudenberg Foundation and the German Federal Ministry for External Development (BMZ).

BACKGROUND The widespread use of Immune checkpoint-inhibitors (ICI) has revolutionised treatment of multiple cancer types. However, selecting patients who may benefit from ICI remains challenging. Artificial Intelligence (AI) approaches allow exploitation of high-dimension oncological data in research and development of precision immuno-oncology. METHODS We conducted a systematic literature review of peer-reviewed original articles studying the ICI efficacy prediction in cancer patients across five data modalities: genomics (including genomics, transcriptomics, and epigenomics), radiomics, digital pathology (pathomics) and real-world and multimodality data. RESULTS A total of 90 studies were included in this systematic review, with 80% published in 2021-2022. Among them, 37 studies included genomic, 20 radiomic, 8 pathomic, 20 real-world and 5 multimodal data. Standard machine learning (ML) methods were used in 72% of studies, deep learning (DL) methods in 22%, and both in 6%. The most frequently studied cancer type was NSCLC (36%), followed by melanoma (16%), while 25% included pan-cancer studies. No prospective study design incorporated AI-based methodologies from the outset, rather all implemented AI as post-hoc analysis. Novel biomarkers for ICI in radiomics and pathomics were identified using AI approaches, and molecular biomarkers have expanded past genomics into transcriptomics and epigenomics. Finally, complex algorithms and new types of AI-based markers, such as meta-biomarkers, are emerging by integrating multimodal/multiomics data. CONCLUSION AI based-methods have expanded the horizon for biomarker discovery, demonstrating the power of integrating multimodal data from existing datasets to discover new meta-biomarkers. While most of the included studies showed promise for AI-based prediction of benefit from immunotherapy, none provided high-level evidence for immediate practice change. A priori planned prospective trial designs are needed to cover all lifecycle steps of these software biomarkers, from development and validation to integration into clinical practice.

Abstract Introduction Evidence-based prevention and health promotion will be supported by practice-relevant evidence registries. The Green List Prevention provides an overview of evidence-based prevention programs for children and youth in Germany. It was modeled after the U.S. Blueprints for Healthy Youth Development in the context of the Communities That Care community prevention system. Programs are reviewed for conceptual, implementation, and evaluation quality and are categorized into three levels of evidence: (1) effectiveness theoretically well established, (2) ∼ likely, (3) ∼ proven. The Green List Prevention is used in communities, at state and national levels, and research. This paper provides insight into its content, keywording and enhancements. Methods To characterize the evidence-based programs, an inductive-deductive procedure was used to form 14 super- and 33 subcategories with 226 characteristic attributes. Based on these, all registry entries were categorized and summarized descriptively. Results The 100 programs listed (4/2023) address not only the primary target group of children and adolescents, but also secondary target groups (mainly teachers n = 53, guardians n = 46, educators n = 19) and are located in different environments (mainly school n = 61, family n = 28, kindergarten n = 23). Behavioral prevention on violence including bullying n = 64, addiction n = 47 and mental health n = 34 are in the foreground; topics such as nutrition (n = 3) and physical activity (n = 2) are little represented. Social and life skills programs (n = 61) and training for guardians (n = 25) are listed particularly often. Conclusions The Green List Prevention provides an overview of effective prevention and health promotion interventions for different contexts. Its current expansion to rate environmental and behavioral prevention measures on nutrition and physical Key messages • The Green List Prevention enables stakeholders to make a targeted selection of evidence-based programs and offers practice-relevant information e.g. main focus, program formats, implementation. • The evidence register Green List Prevention supports evidence-based prevention and health promotion in Germany.

La rimozione originaria, in tedesco: Urverdrängung, è un concetto che appartiene all'ambi-to delle necessità metapsicologiche, della prima strutturazione e costruzione del sistema menta-le. Fu postulato da Freud (1911, 1915, 1926, 1937) per spiegare retrospettivamente il mecca-nismo della rimozione (rimozione vera e propria) come un movimento di attrazione da parte di qualcosa che è già presente. Contrariamente alla rimozione vera e propria/rimozione seconda-ria, in Tedesco Nachdrängen, la "pietra angolare" del pensiero psicoanalitico, il concetto di rimozione primaria rimane in parte dimenticato, in parte incomprensibile, anche se le sue con-cettualizzazioni sottostanti hanno attirato una crescente attenzione nel corso degli anni. Questo saggio si avvicina a tale ambito indagando la rappresentabilità e l'irrappresentabili-tà, la dinamica: azione – rappresentazione, e la nascita dello psichico a partire dalle esigenze del lavoro. La prima dualità interna e il primo legame sono introdotti nella vita psichica dai proces-si di rimozione originaria, tensione tra attrazione regressiva e formazione-ricostruzione dei processi psichici. Il materiale clinico viene presentato come illustrazione.