Conference Agenda

The objective of this systematic review was to analyze whether the implementation of the Ore Sorting system with sensors and artificial intelligence, compared to conventional sorting methods, improves operational profitability in mining operations with polymetallic deposits. To this end, the PRISMA methodology and the PICO approach were applied, formulating specific questions and establishing inclusion and exclusion criteria. Fifty-six scientific articles published between 2014 and 2024 were selected from academic databases such as Scopus and SciELO. The results were organized into five thematic areas: sensors used, classification techniques applied, comparison with conventional methods, financial indicators, and operational applications. XRT, NIR, and HSI sensors were identified as the most widely used, with classification efficiencies exceeding 85% in appropriate contexts. The most frequent techniques were Particle Sorting, Bulk Sorting, and On-belt Sorting, each with specific operational advantages. Compared to traditional methods such as flotation or gravimetric separation, Ore Sorting showed greater energy efficiency and classification accuracy. In addition, the studies reviewed reported positive financial indicators, with NPVs exceeding USD 1.8 million and IRRs between 38% and 52%. It is concluded that Ore Sorting represents a viable technological alternative for improving operational efficiency, reducing OPEX, and increasing metal recovery in polymetallic mining. Its implementation also contributes to environmental sustainability by reducing liabilities and utilizing waste rock, establishing itself as a key tool for smart mining.

The intensification of urbanization and climate change have increased the vulnerability of cities to high temperatures, flooding, and environmental degradation. In this context, urban wetlands have emerged as nature-based solutions to integrate ecological, landscape, and social functions. This article offers a systematic analysis of the role of landscape design and urban planning in the face of climate change, specifically through urban wetlands as nature-based solutions. The study was conducted using a PRISMA review of the Scopus database (2021–2025); 12 articles were selected from the 87 records identified. The findings demonstrate significant contributions through microclimatic regulation, water management, and urban resilience, promoting the integration of wetlands into green and blue networks and participatory governance frameworks.

Architectural reuse has gained increasing relevance as a sustainable strategy for the conservation of built heritage, particularly in contexts where existing structures face deterioration, functional obsolescence, or urban transformation pressures. This systematic literature review analyzes 40 research studies selected for their relevance from an initial pool of 61,544 articles retrieved from the Scopus and Web of Science databases. The selection process followed the PRISMA methodology and was structured using an adapted PIO framework to ensure transparency and replicability. The results indicate that adaptive reuse is the most frequently applied approach, characterized by the preservation of architectural value while accommodating new functions. Additional strategies identified include partial restoration, material conservation, and the integration of contemporary architectural elements as part of complementary urban interventions. The findings highlight the importance of contextual analysis, technical criteria, and long-term maintenance considerations in reuse projects. This review contributes to a clearer understanding of current architectural reuse practices and provides a consolidated reference for future research and professional decision-making in heritage conservation.

Sustainability in the construction sector represents a major challenge due to the high consumption of resources and the generation of waste throughout the project life cycle. In this context, Material Passports (MPs) constitute a key tool for achieving circular economy models that enable efficient management of construction material information. The objective of this research is to analyze the role of MPs in sustainable logistics management within the sector by identifying their contributions, enabling technologies, and the main gaps and challenges. This article was developed using a systematic literature review methodology. The PRISMA model was adopted, and the Scopus and Web of Science databases were used. A total of 98 publications were initially identified, of which 23 were selected for analysis. The results show that MPs enhance material traceability, reuse, and recycling, and reduce information gaps among supply chain actors. It is also identified that technologies such as Building Information Modeling (BIM), Radio Frequency Identification (RFID), and blockchain are the main enablers of MPs. Finally, the large-scale implementation of MPs presents significant challenges, including data standardization, technological interoperability, and information updating.

The geostatistical modelling of landslide susceptibility aimed to analyze the initiation of landslides and the areas potentially affected by their propagation. Landslide susceptibility depends on intrinsic factors, which were modelled using the historical landslide inventory from the southern sector of the Cajamarca district. The stochastic methodology applied allowed the generation of a landslide susceptibility zoning map through the combination of the following variables: slope, geology, geological faults, and road cuts, factors considered essential for this study. The results were computed using Excel and ArcGIS 10.5, yielding the weighting of each factor through the geostatistical kriging technique. The corresponding weights obtained were 0.05, 0.08, 0.24, and 0.13 for distance to road, distance to geological fault, slope, and geology, respectively. These results were then used to estimate the susceptibility values. Subsequently, variograms were developed and calculated in the 0°, 45°, 90°, 135°, and 70° directions, applying theoretical variogram models, nugget effect, spherical, exponential, and Gaussian to determine the anisotropy. The study concludes with the development of the landslide susceptibility map using ordinary kriging, establishing that slope and geology are the most influential intrinsic factors. Moreover, the study area exhibits a structural behavior oriented at 70° and best fits the spherical variogram model.

Heat stress in nurseries poses a significant risk to worker health and productivity, particularly in high solar radiation regions such as Arequipa. In this context, this study developed the design of a low-cost forced ventilation system, powered by solar energy and constructed using polyvinyl chloride (PVC) sleeves lined with polyethylene (PE) mesh. The objective was to mitigate heat stress and ensure compliance with Peruvian regulation R.M. N° 375-2008-TR. Methodologically, the research comprised monitoring internal thermal conditions according to ISO 7243:2017, analyzing worker stress indicators, and designing the system via 3D modeling in Blender software. The obtained results revealed that the monitored points exceeded the permissible limits for the Wet Bulb Globe Temperature (WBGT) under the cited Peruvian standard, with critical values reaching up to 43.70°C. However, the proposed design demonstrated the capacity to reduce the WBGT by 8-10°C, homogenizing the thermal environment and ensuring compliance with national regulatory framework. It is concluded that this system represents a viable and scalable solution for improving working conditions in nurseries.