Integrated Water Resource Management under Ecosystem Services Approach-The Chimulala Micro-watershed, Peru.

This study evaluates the sociocultural valuation of ecosystem services (ES) within the Chimulala micro-watershed, Peru, to inform Integrated Water Resource Management (IWRM). Using surveys and focus groups, we gathered data from 35 stakeholders (11 institutional and 24 local actors) to assess perceptions, orientations, and anticipated changes regarding 15 identified ES. A land cover map was developed to support an expert-led ES assessment, categorizing capacity levels across different land types.

Future changes of precipitation types in the Peruvian Andes.

In high-altitude regions, such as the Peruvian Andes, understanding the transformation of precipitation types under climate change is critical to the sustainability of water resources and the survival of glaciers. In this study, we investigate the distribution and types of precipitation on a tropical glacier in the Peruvian Central Andes. We utilized data from an optical-laser disdrometer and compact weather station installed at 4709 m ASL, combined with future climate scenarios from the CMIP6 project, to model potential future changes in precipitation types.

Integrating the water-energy-food nexus and LCA + DEA methodology for sustainable fisheries management: A case study of Cantabrian fishing fleets.

The fishing sector constitutes an important source of economic revenue in northern Spain. In this context, various research studies have focused on the application of the five-step Life Cycle Assessment (LCA) and Data Envelopment Analysis (DEA) methodology to quantify environmental impacts of fishing systems. However, some of them have used environmental indicators that focus on individual environmental issues, hindering the goal of achieving integrated resource management.

The use of artificial intelligence algorithms to detect macroplastics in aquatic environments: A critical review.

The presence of macroplastic (MP) is having serious consequences on natural ecosystems, directly affecting biota and human wellbeing. Given this scenario, estimating MPs' abundance is crucial for assessing the issue and formulating effective waste management strategies. In this context, the main objective of this critical review is to analyze the use of machine learning (ML) techniques, with a particular interest in deep learning (DL) approaches, to detect, classify and quantify MPs in aquatic environments, supported by datasets such as satellite or aerial images and video recordings taken by unmanned aerial vehicles.

Obtaining Bixin- and Tocotrienol-Rich Extracts from Peruvian Annatto Seeds Using Supercritical CO Extraction: Experimental and Economic Evaluation.

Currently, L. extracts are used as a color source in the food, pharmaceutical, and cosmetic industries because they are important as a potential source of antioxidant activity. The extraction is carried out by conventional methods, using alkaline solutions or organic solvents.

Thickness dependence of the room-temperature ethanol sensor properties of CuO polycrystalline films.

This study investigates the fabrication process of copper thin films via thermal evaporation, with precise control over film thickness achieved through-position adjustment. Analysis of the as-fabricated copper films reveals a discernible relationship between grain size (〈〉) and-position, characterized by a phenomenological equation〈D〉XRDn(Z)=〈D〉0n1+32rZ2+158rZ4, which is further supported by a growth exponent () of 0.41 obtained from the analysis.

Thermal and compositional driven convection in thin reaction fronts.

Chemical reaction fronts separate regions of reacted and unreacted substances as they propagate in liquids. These fronts may induce density gradients due to different chemical compositions and temperatures across the front. In this paper, we investigate buoyancy-induced convection driven by both types of gradients.

Seamless Integration of Conducting Hydrogels in Daily Life: From Preparation to Wearable Application.

Conductive hydrogels (CHs) have received significant attention for use in wearable devices because they retain their softness and flexibility while maintaining high conductivity. CHs are well suited for applications in skin-contact electronics and biomedical devices owing to their high biocompatibility and conformality. Although highly conductive hydrogels for smart wearable devices are extensively researched, a detailed summary of the outstanding results of CHs is required for a comprehensive understanding.

Three-Dimensional Membranes of Natural Polymer Complex Nanoparticle for Potential Medical Applications.

Skin wound healing is a complex biological process of tissue regeneration in which the wound dressing is crucial for rapid healing; it must protect the wound keep an adequate level of moisture and prevent infections. Alginate (AL), a polysaccharide from brown algae, has been extensively studied for wound treatment, and aloe vera gels (AVGs) have also been used in the treatment of skin. The AVG main bioactive polysaccharide was combined with AL for the preparation of membranes.

Lignocellulosic Biomass for the Fabrication of Triboelectric Nano-Generators (TENGs)-A Review.

Growth in population and increased environmental awareness demand the emergence of new energy sources with low environmental impact. Lignocellulosic biomass is mainly composed of cellulose, lignin, and hemicellulose. These materials have been used in the energy industry for the production of biofuels as an eco-friendly alternative to fossil fuels.

Lateralized Movements during the Mating Behavior, Which Are Associated with Sex and Sexual Experience, Increase the Mating Success in (Coleoptera: Tenebrionidae).

In the present study, we explored the effects of displacement directionality in mating behavior (i.e., lateralized and non-lateralized movements) on mating success (i.

Food Technology forecasting: A based bibliometric update in functional chocolates.

Technology forecasting (TF) based on bibliometric tools allows knowing the technological trends of developed topics based on experience and current knowledge, thus anticipating future changes. To reduce hunger and improve nutrition, the food-based topic is of central concern, especially functional food. Among these, various studies on chocolates have been performed.

A STRP-ed definition of Structured Tandem Repeats in Proteins.

Tandem Repeat Proteins (TRPs) are a class of proteins with repetitive amino acid sequences that have been studied extensively for over two decades. Different features at the level of sequence, structure, function and evolution have been attributed to them by various authors. And yet many of its salient features appear only when looking at specific subclasses of protein tandem repeats.

How to share the leadership competence among the team members in active learning scenarios: Before, during and after COVID-19 pandemic.

Teamwork is one of the most demanded generic competencies by international organizations, and higher education institutions train and assess that competence to prepare students for working life. Leadership is a crucial part of teamwork development, and previous research has shown that shared leadership tasks between team members present more advantages than the traditional concept of a formal leader. Shared leadership seems to be the best option in the academic context due to the university students' characteristics.

Comparison of Four Methods of RNA Extraction and cDNA Synthesis from The Venom of Peruvian Snakes of the Genus of Clinical Importance.

RNA purification and cDNA synthesis represents the starting point for molecular analyses of snake venom proteins-enzymes. Usually, the sacrifice of snakes is necessary for venom gland extraction to identify protein-coding transcripts; however, the venom can be used as a source of transcripts. Although there are methods for obtaining RNA from venom, no comparative analysis has been conducted in the genus.

Per- and polyfluoroalkyl substances (PFASs) in consumable species and food products.

Per- and polyfluoroalkyl substances (PFASs) are a group of thousands of manmade chemicals widely used in consumer products and industrial processes. Toxicological studies have suggested that exposure to PFASs may lead to several adverse effects, including infertility and cancer development. In light of their widespread use, the contamination of food products has created health concerns in sites directly influenced by industrial and anthropogenic activity.

Carbon Quantum Dots Based on Marine Polysaccharides: Types, Synthesis, and Applications.

The marine environment offers a vast array of resources, including plants, animals, and microorganisms, that can be utilized to extract polysaccharides such as alginate, carrageenan, chitin, chitosan, agarose, ulvan, porphyra, and many more. These polysaccharides found in marine environments can serve as carbon-rich precursors for synthesizing carbon quantum dots (CQDs). Marine polysaccharides have a distinct advantage over other CQD precursors because they contain multiple heteroatoms, including nitrogen (N), sulfur (S), and oxygen (O).

Prediction of prostate cancer biochemical recurrence by using discretization supports the critical contribution of the extra-cellular matrix genes.

Due to its complexity, much effort has been devoted to the development of biomarkers for prostate cancer that have acquired the utmost clinical relevance for diagnosis and grading. However, all of these advances are limited due to the relatively large percentage of biochemical recurrence (BCR) and the limited strategies for follow up. This work proposes a methodology that uses discretization to predict prostate cancer BCR while optimizing the necessary variables.

Social Information Processing Theory Indicators of Child Abuse Risk: Cultural Comparison of Mothers from Peru and the United States.

Much of the research conducted on social information processing (SIP) factors predictive of child abuse risk has been conducted in North America, raising questions about how applicable such models may be in other cultures. Based on the premise that the parents' child abuse risk is affected by both risk and protective factors, the current study considered how specific SIP socio-cognitive risk factors (acceptability of parent-child aggression as a discipline approach; empathic ability; frustration tolerance) as well as social support satisfaction as a resource related to child abuse risk by comparing a sample of mothers in Peru ( = 102) with a sample of mothers in the U.S.

Ocean-based sources of plastic pollution: An overview of the main marine activities in the Peruvian EEZ.

Marine-based activities are a critical source of plastic waste into the ocean. This is particularly important in countries with a competitive fishing industry, such as Peru. Thus, this study aimed to identify and quantify the major flows of plastic waste accumulating in the ocean from ocean-based sources within the Peruvian Economic Exclusive Zone.

Framework for Integrating Productive, Contributory, and Noncontributory Work with Safe and Unsafe Acts and Conditions.

It is common for companies that are in the process of implementing the Last Planner System (LPS) journey to attempt an increase in productive work and a reduction in waste, such as contributory and noncontributory work. Even though the LPS has proven to have a synergy with the health and safety requirements, companies with deficient health and safety management systems tend to classify work involving substandard acts or conditions as standard, and then pretend to benchmark against other companies that are indeed performing safe work. The following work introduces a framework to simultaneously register and analyze productive, contributory, and noncontributory work, with the substandard acts and conditions in a construction site, allowing for the measurement of production and health & safety indicators simultaneously.

A monograph of the genus (Rosaceae).

We present a monograph of the high Andean tree genus (Rosaceae), based on a species concept considering morphological, climatic and biogeographic distinctness as indicators of evolutionary independence. In total, we recognize 45 species of , grouped in five sections. Polylepissect.

A Feature Extraction Using Probabilistic Neural Network and BTFSC-Net Model with Deep Learning for Brain Tumor Classification.

Background And Objectives: Brain Tumor Fusion-based Segments and Classification-Non-enhancing tumor (BTFSC-Net) is a hybrid system for classifying brain tumors that combine medical image fusion, segmentation, feature extraction, and classification procedures.

Materials And Methods: to reduce noise from medical images, the hybrid probabilistic wiener filter (HPWF) is first applied as a preprocessing step. Then, to combine robust edge analysis (REA) properties in magnetic resonance imaging (MRI) and computed tomography (CT) medical images, a fusion network based on deep learning convolutional neural networks (DLCNN) is developed.

Flipped Learning 4.0. An extended flipped classroom model with Education 4.0 and organisational learning processes.

This article integrates two visions on the creation of knowledge by students: an academic vision where the person who creates knowledge uses high-level cognitive abilities and, therefore, acquires deeper learning, and an organisational learning vision, where the creation of knowledge adds value to the organisation and the individuals who work in this matter. It starts from a validated flipped classroom model and then adds procedures and cycles of knowledge that make it an active methodology, in such a way that it simultaneously supports organisational learning, using cooperative competencies characteristic of Education 4.0.