Fundamental Assets Research Articles

INTELIGÊNCIA EMOCIONAL NAS ORGANIZAÇÕES: ATIVO OU PASSIVO NA PERSPECTIVA DOS ADMINISTRADORES?

this paper aims to analyze and investigate how supply chain management can represent a competitive advantage for organizations. With the advent of the pandemic caused by the covid-19, there has been an exponential growth in the world e-commerce, and this has required managers and companies to adopt new models of economy capable of anchoring the planning, execution and control of effective actions the management of fundamental assets for the oxygenation of purchasing, logistics, storage, production and delivery processes to consumer markets. The new technologies of communication and telecommunications, which put new tools, such as artificial Inteligence, robotics and Big Data, at the service of this intricate gear of Supply Chain Management, at the same time also pose new challenges to the administrators and the organizations that need to adapt to the new demands and demands of the markets and consequently to the new ways of thinking strategically the delivery of value and the competitive advantage for the stakeholders.

A Novel Medium Access Policy Based on Reinforcement Learning in Energy-Harvesting Underwater Sensor Networks.

Underwater acoustic sensor networks (UASNs) are fundamental assets to enable discovery and utilization of sub-sea environments and have attracted both academia and industry to execute long-term underwater missions. Given the heightened significance of battery dependency in underwater wireless sensor networks, our objective is to maximize the amount of harvested energy underwater by adopting the TDMA time slot scheduling approach to prolong the operational lifetime of the sensors. In this study, we considered the spatial uncertainty of underwater ambient resources to improve the utilization of available energy and examine a stochastic model for piezoelectric energy harvesting. Considering a realistic channel and environment condition, a novel multi-agent reinforcement learning algorithm is proposed. Nodes observe and learn from their choice of transmission slots based on the available energy in the underwater medium and autonomously adapt their communication slots to their energy harvesting conditions instead of relying on the cluster head. In the numerical results, we present the impact of piezoelectric energy harvesting and harvesting awareness on three lifetime metrics. We observe that energy harvesting contributes to 4% improvement in first node dead (FND), 14% improvement in half node dead (HND), and 22% improvement in last node dead (LND). Additionally, the harvesting-aware TDMA-RL method further increases HND by 17% and LND by 38%. Our results show that the proposed method improves in-cluster communication time interval utilization and outperforms traditional time slot allocation methods in terms of throughput and energy harvesting efficiency.

Design Maintenance System on Mixer Machine to Prevent the Breakdown Using Reliability Centered Maintenance

Equipment, machinery, and labor are fundamental assets of an organization. Therefore, companies must have an appropriate and scheduled maintenance system. However, many manufacturing companies neglect maintenance, leading to frequent machine breakdowns that can result in machine downtime and financial losses. This research aims to determine the machine maintenance interval and the types of actions to be taken. The method employed is Reliability Centered Maintenance with the Failure Mode and Effect Analysis approach to identify failure patterns in a system and formulate the best strategies for designing a maintenance system. The results indicate that the CS-20 Type B mixer is the most critical machine, which can significantly reduce the company's production output due to machine downtime during the repair process. Based on the Reliability Maintenance method, the maintenance interval for components with potential failures is 273.17 hours for the bearing component, experiencing breakdowns three times with the highest damage occurrence within one year.

Innovative hierarchical fatigue analysis of critical riveted railway bridges: A case study

Existing railway bridges are fundamental assets to expand the capacity of the railway network towards an eco-friendly transport for people and goods. As one of the main sources of structural degradation, fatigue represents a major concern for infrastructure managers, requiring the development of assessment methods that allow for reduced conservatism and increased reliability. Despite the multiscale problem, the implementation of local fatigue methods to large structures can be achieved efficiently when framed within a multiphase global-local assessment. This paper presents an innovative approach for hierarchical modelling based on a three-scale concept applied to riveted connections, which are significant in aging bridges. A structural system that presented failure during operation is investigated, allowing to confront the numerical results against observable damage, which provides a rare opportunity to parametrically understand the roots of fatigue. Numerical models properly validated by experimental results allowed computing fatigue lives that align with real damage, demonstrating the accuracy of the assessment process. Multiscale modelling tools are provided in an engineering framework to extend the fatigue life of existing riveted railway bridges.

The current policyscape affecting land-sea interactions in the European Union

Coastal areas are the most populated and exploited territories by human activities, whose intensification strains terrestrial and marine ecosystems' environmental health and biodiversity. These anthropic dynamics interact with each other and with natural resources and geochemical processes that are fundamental assets for the land-sea continuum. These interconnections are addressed by the concept of Land-Sea Interactions. Although their consideration is required in the planning of the maritime space of European Union waters, clear indications of what exactly they comprise and how to manage them are yet to be produced. The scope of the research is to provide an overview of the current trans-sectoral policyscape of existing European acts that support the management of land-sea interactions. The resulting policy mapping, organized according to human activity clusters and common policy goals, describes a complex interlinkage among regulations and directives that also helps highlight the policy gaps to date in developing a blue economy (e.g., tourism and offshore energy production).

COMPETITIVE ADVANTAGE IN SUPPLY CHAIN MANAGEMENT

this paper aims to analyze and investigate how supply chain management can represent a competitive advantage for organizations. With the advent of the pandemic caused by the covid-19, there has been an exponential growth in the world e-commerce, and this has required managers and companies to adopt new models of economy capable of anchoring the planning, execution and control of effective actions the management of fundamental assets for the oxygenation of purchasing, logistics, storage, production and delivery processes to consumer markets. The new technologies of communication and telecommunications, which put new tools, such as artificial Inteligence, robotics and Big Data, at the service of this intricate gear of Supply Chain Management, at the same time also pose new challenges to the administrators and the organizations that need to adapt to the new demands and demands of the markets and consequently to the new ways of thinking strategically the delivery of value and the competitive advantage for the stakeholders.

Advanced Studies of Inert Landfill Fine Fraction Mass – Hunting for Values from Waste

The maintaining solution for keeping and storing waste over the last century has been landfilling as its costs are the lowest. A sustainable approach such as Landfill Mining (LFM) can be applied to recover Rare Earth Elements (REEs) and other valuable metals from waste that make fundamental assets in terms of economy and essential for developing industrial technologies. This study investigated concentrations of REEs and other metals in waste material. Samples from Ida-Virumaa (Estonia) landfilled waste fine fraction was taken to see the element concentration proceeded through sequential extraction. Additionally, the method of clay modification was developed that may serve as a sorbent to extract the REEs from the inert landfill fine fraction waste using hydroxyapatite modified clay. The amount of REEs might become of industrial interest if a feasible landfill mining approach for remediation of landfills and degraded industrial soils would be applied together with innovative recovery methods, e.g., sorption by modified clays.

Human Capital in Higher Education (A Theoretical and Empirical Review


 
 
 The article discusses a systematic review related to Human Capital and the field of Education. The structure of this systematic review involves formulating research questions, conducting a systematic literature search, screening and selecting relevant articles, performing analysis and synthesis of findings, applying quality control measures, and drawing final conclusions. The changes brought about by globalization, advancements in information, technological developments, and intense competition have led companies and educational institutions to modify their strategies. There has been a paradigm shift regarding the fundamental assets of an organization in recent decades. Human Capital plays a central role in the success of both profit and non-profit organizations. By utilizing existing literature reviews, it becomes possible to address two main issues: analyzing the relationship between human capital and the field of education, particularly in higher education, and exploring human capital management.
 
 

Explicit civility (Online Discussions/Discussion Quality)

Explicit civility (Online Discussions/Discussion Quality)

1D numerical study of a multistage centrifugal pump during transient operation

Hydropower plants (HPPs) are acknowledged to be fundamental assets to provide generation flexibility to power systems hosting substantial amount of stochastic renewable energy sources. Within this context, providing this flexibility enforces HPP units to cross-over transient operating conditions or to operate in off-design conditions. The evaluation of the impact that such transients have on the hydraulic machines is a fundamental step to assess the operating costs in terms of lifetime reduction of the machine structural integrity.When these assessments are performed on experimental test-rigs featuring a machine’s reduced scale models, testing transient regimes may potentially trigger harmful pressure profiles along the piping system as well as resonant phenomena on the test-rig. Simulating how the several state variables evolve during the experimental tests allows for the prediction of damaging circumstances and, eventually, prevent performing experimental tests in detrimental conditions.In this regard, this paper illustrates a numerical method able to reliably reproduce the experimental test-rig behavior while preserving the consistency of the scaled similarities with respect to a specific case study HPP: the Veytaux I pumped-storage hydropower plant located in Switzerland.Moreover, in this paper, the developed 1D numerical model of the EPFL Technological Platform for Hydraulic Machines experimental test-rig is presented since some of the characteristic transient sequences of the studied HPP are simulated on this model and compared to the prototype scale 1D numerical results.

Participative Decision Making and the Sharing of Benefits: Laws, ethics, and data protection for building extended global communities

Participative Decision Making and the Sharing of Benefits: Laws, ethics, and data protection for building extended global communities

The Relationship Between Intellectual Capital and Performance of Social Enterprises: A Literature Review

There is a need for competition and having a competitive advantage for every enterprise. Moreover, a social enterprise is expected to maintain itself and expand exponentially through innovation and the application of technology. The need to survive implies the need for social innovation within the organizations. When the organization's goal is established, which is the prerequisite for starting a social enterprise, innovation aims to solve the problem. Innovation is a learning outcome that manifests itself into new product features, new products, or production methods. Social innovation is an incremental form of innovation because it emerges from the social needs of a community. The kind of innovation produced is oriented towards the community to provide a solution to their problem. Social enterprises have worked tirelessly to create solutions to the social issues that specific communities are facing. The findings in this research highlight intellectual capital as one of the most fundamental assets in a social enterprise. When discussed in terms of its three branches, intellectual capital's performance of social enterprises is significantly improved. Received: 8 July 2021 / Accepted: 19 August 2021 / Published: 5 September 2021

La filosofia della storia in Giorgio Emanuele Ferrari: un filosofo alla Marciana

Giorgio Emanuele Ferrari understood the library work in light of one of its fundamental assets: being a witness of the Zeitgeist. A privileged position in the management of documents, the librarian can profile tools and content of human self-understanding, both in its essence and its evolution. In the essay, we analyze G.E. Ferrari’s texts and unearth the philosophical drive of his vocation.

Revisiting data complexity metrics based on morphology for overlap and imbalance: snapshot, new overlap number of balls metrics and singular problems prospect

Data Science and Machine Learning have become fundamental assets for companies and research institutions alike. As one of its fields, supervised classification allows for class prediction of new samples, learning from given training data. However, some properties can cause datasets to be problematic to classify. In order to evaluate a dataset a priori, data complexity metrics have been used extensively. They provide information regarding different intrinsic characteristics of the data, which serve to evaluate classifier compatibility and a course of action that improves performance. However, most complexity metrics focus on just one characteristic of the data, which can be insufficient to properly evaluate the dataset towards the classifiers' performance. In fact, class overlap, a very detrimental feature for the classification process (especially when imbalance among class labels is also present) is hard to assess. This research work focuses on revisiting complexity metrics based on data morphology. In accordance to their nature, the premise is that they provide both good estimates for class overlap, and great correlations with the classification performance. For that purpose, a novel family of metrics have been developed. Being based on ball coverage by classes, they are named after Overlap Number of Balls. Finally, some prospects for the adaptation of the former family of metrics to singular (more complex) problems are discussed.

A Compression-Based Method for Detecting Anomalies in Textual Data.

Nowadays, information and communications technology systems are fundamental assets of our social and economical model, and thus they should be properly protected against the malicious activity of cybercriminals. Defence mechanisms are generally articulated around tools that trace and store information in several ways, the simplest one being the generation of plain text files coined as security logs. Such log files are usually inspected, in a semi-automatic way, by security analysts to detect events that may affect system integrity, confidentiality and availability. On this basis, we propose a parameter-free method to detect security incidents from structured text regardless its nature. We use the Normalized Compression Distance to obtain a set of features that can be used by a Support Vector Machine to classify events from a heterogeneous cybersecurity environment. In particular, we explore and validate the application of our method in four different cybersecurity domains: HTTP anomaly identification, spam detection, Domain Generation Algorithms tracking and sentiment analysis. The results obtained show the validity and flexibility of our approach in different security scenarios with a low configuration burden.

Integrated Space Situational Awareness Systems: SDA and SSA – Advantages and Limitations

SDA (Space Domain Awareness) and SSA (Space Situational Awareness – SSA) have been defined as comprehensive knowledge of space objects and the ability to track, understand, and predict their future location. The purpose of the article is to present SSA initiatives to protect space systems, which are now recognized as fundamental assets of the sustainable development of each country. The destruction of even a part of the space infrastructure can have severe consequences for the security of citizens and economic activity. These systems assume the combination of all data obtained by various entities operating in space and Earth to create a common database. The SSA system was created based on the US military programme SDA (Space Domain Awareness); SSA and SDA are almost similar, but SDA is a new term replacing SSA, which existed previously. SDA is a better and improved SSA. Increasingly, the SSA programme is part of national and EU space strategies, but it is not yet possible to include it in international space law.

Strategic Environmental Engineering Impact Assessment for analyzing carrying capacity of Water resources

Water assets are the fundamental and essential regular assets for creaturebreathing, most significant components for confining common habitat, human endurance and advancement. World is confronting genuine hose contamination and dampen deficiencies. In this paper, in light of "Natural Engineering Impact Assessment", assessment and investigation techniques in arranging venture on Strategic assets conveying limit were investigated. It had extraordinary centrality on executing the Environmental Impact Assessment Law, understanding water assets and water condition issues looked by the world, and accomplishing supportable utilization of water assets.

Survey of Sustainable Regeneration of Historic and Cultural Cores of Cities

The united nations educational, scientific and cultural organization (UNESCO) considers the historic urban landscapes as the world heritages. Managing historic city centers and maintaining historic cores are the emerging challenges for sustainable urban planning. Today, the historic cores form an important part of the economic, social, environmental, and physical assets and capacities of contemporary cities, and play a strategic role in their development. One of the most important approaches to the development of central textures, especially in historical and cultural cities, is the sustainable urban regeneration approach, which encompasses all aspects of sustainability, such as the economic, social, cultural and environmental aspects. To maintain sustainability and regeneration of historic cores of cities, it is necessary to provide insight into the underlying characteristics of the local urbanization. Furthermore, the fundamental assets are to be investigated as indicators of sustainable regeneration and drivers of urban development. In the meantime, a variety of research and experience has taken place around the world, all of which has provided different criteria and indicators for the development of strategies for the historic cores of cities. The present study, through a meta-analytic and survey method, analyzing the experience and research reported in 139 theoretical and empirical papers in the last twenty years, seeks to provide a comprehensive conceptual model taking into account the criteria and indices of sustainable regeneration in historic cores of cities. The quality of the survey has been ensured using the preferred reporting items for systematic reviews and meta-analysis (PRISMA).

Investigating the environmental and economic impact of loading conditions and repositioning strategies for pallet pooling providers

Pallets are fundamental assets critical to worldwide supply chain logistics. This research develops models for closed-loop pallet pooling providers to understand the environmental and economic impact of customer characteristics and design options. First, an analytical model is developed to quantify the effects of repair facility location and pallet service conditions on a pallet pooling system's economic and environmental performance. Next, a simulation model is developed to investigate two common operational policies, crossdocking and take-back, and to quantify the impact of pallet handling and loading conditions and customer network structures on several key performance indicators. Results indicate that pallet handling and loading conditions are the most important factors determining the cost and carbon equivalent emission of a pallet pooling operation. Better pallet handling and appropriate loading increase the percentage of pallets that can be repositioned with little or no repair. This increases the radius within which a closed-loop pallet pooling system is feasible. Under random handling/loading conditions and distances, a crossdocking approach satisfies demand with 28% fewer pallets than a take-back policy. This is due to a quicker reissue time under a crossdocking approach. However, associated costs and emissions of the two policies are nearly identical due to the increased transportation costs associated with crossdocking. The models and insights proposed in this work can help support decision making by pallet pooling providers to determine operational regions and customer selection, among other network design trade-offs.

Condition, Tendency, and Dynamic Interactions in a Resilience Context of a Social-Ecological System

In this paper we will analyze the dynamics of a social-ecological system (SES), which requires an integrated understanding of both the interrelatedness of biophysical and socioeconomic components and the adaptive capacity of these system’s components to external drivers. Social-ecological resilience, the adaptive cycle metaphor and livelihood development are presented as the guiding conceptual framework to analyze local strategies, aiming towards the sustainable use of natural resources and to encourage the participation of the community in the management of ecosystem services, thereby improving human well-being. Furthermore, in the light of recurring unpredictable changes, adaptive capacity building and a high responsiveness to these changes may serve as fundamental assets to increase both ecological resilience, including the protection of biodiversity, and social resilience, including social and human capital and institutional capacity. An integrated analysis of SESs considers i) the interplay of internal and external factors and their role in SES dynamics, ii) potential thresholds whose crossing may shift the system into an undesirable state, and iii) cross-scale spatial and temporal interactions. Ultimately, an SES approach favors ecosystem stewardship in that it enhances the sustainable use of natural resources and ecosystem services, and simultaneously resilient livelihood development.