Significance of Plastic Recycling with the Focus on Polyesters – Creating a Circular Economy

Plastics materials are essential in every part of our lives, resulting in their increasing production and consumption. Consequently, recycling of plastics has been of great importance in the last decades. Among all types of plastics, polyesters have become very appealing for numerous kinds of applications, making their recycling crucial. Several techniques have been developed for the recycling of plastics with the aim of eliminating the waste accumulated, as well as to create a circular economy

TIC, asociatividad y turismo, tres factores unidos para potenciar el Caribe colombiano

El presente artículo expone la experiencia obtenida por un grupo de investigadores de la Universidad Simón Bolívar de Barranquilla- Colombia, tras la ejecución de un proyecto que consistió en la construcción de un sistema de gestión y el desarrollo de un conjunto de estrategias para potenciar las ventajas del Caribe Colombiano como sector turístico. La finalidad del proyecto era mejorar el desarrollo económico y social de esta región y hacerla atractiva para turistas nacionales y extranjeros, de tal forma que a través del portal Web creado como estrategia central, la visitaran para disfrutar de los diferentes tipos de turismo que esta región puede ofrecer: ecológico, de aventura, de salud, cultural, de sol y playa, entre otros. La investigación arrojó dentro de sus resultados, la conformación de un grupo de empresarios del sector turístico, en un trabajo asociativo bajo el apoyo de una plataforma en TIC que permite a los potenciales viajeros, conocer las ventajas del Caribe como destino turístico, y a los empresarios, promocionar sus servicios a través del portal

A 16-Channel Neural Recording System-on-Chip With CHT Feature Extraction Processor in 65-nm CMOS

Next-generation invasive neural interfaces require fully implantable wireless systems that can record from a large number of channels simultaneously. However, transferring the recorded data from the implant to an external receiver emerges as a significant challenge due to the high throughput. To address this challenge, this article presents a neural recording system-on-chip that achieves high resource and wireless bandwidth efficiency by employing on-chip feature extraction. Energy-area-efficient 10-bit 20-kS/s front end amplifies and digitizes the neural signals within the local field potential (LFP) and action potential (AP) bands. The raw data from each channel are decomposed into spectral features using a compressed Hadamard transform (CHT) processor. The selection of the features to be computed is tailored through a machine learning algorithm such that the overall data rate is reduced by 80% without compromising classification performance. Moreover, the CHT feature extractor allows waveform reconstruction on the receiver side for monitoring or additional post-processing. The proposed approach was validated through in vivo and off-line experiments. The prototype fabricated in 65-nm CMOS also includes wireless power and data receiver blocks to demonstrate the energy and area efficiency of the complete system. The overall signal chain consumes 2.6 μW and occupies 0.021 mm² per channel, pointing toward its feasibility for 1000-channel single-die neural recording systems

An Overview of Recommender Systems in the Internet of Things

The Internet Of Things (IoT) is an emerging paradigm that envisions a networked infrastructure enabling different types of devices to be interconnected. It creates different kinds of artifacts (e.g., services and applications) in various application domains such as health monitoring, sports monitoring, animal monitoring, enhanced retail services, and smart homes. Recommendation technologies can help to more easily identify relevant artifacts and thus will become one of the key technologies in future IoT solutions. In this article, we provide an overview of existing applications of recommendation technologies in the IoT context and present new recommendation techniques on the basis of real-world IoT scenarios

Integrating Decision-Making Support in Geocollaboration Tools

info:eu-repo/semantics/publishedVersio

PCR-TTGE Analysis of 16S rRNA from Rainbow Trout (Oncorhynchus mykiss) Gut Microbiota Reveals Host-Specific Communities of Active Bacteria

This study assessed the relative contributions of host genetics and diet in shaping the gut microbiota of rainbow trout. Full sibling fish from four unrelated families, each consisting of individuals derived from the mating of one male and one female belonging to a breeding program, were fed diets containing either vegetable proteins or vegetable oils for two months in comparison to a control diet consisting of only fish protein and fish oil. Two parallel approaches were applied on the same samples: transcriptionally active bacterial populations were examined based on RNA analysis and were compared with bacterial populations obtained from DNA analysis. Comparison of temporal temperature gradient gel electrophoresis (TTGE) profiles from DNA and RNA showed important differences, indicating that active bacterial populations were better described by RNA analysis. Results showed that some bacterial groups were significantly (P<0.05) associated with specific families, indicating that microbiota composition may be influenced by the host. In addition, the effect of diet on microbiota composition was dependent on the trout family