Non-Muslim Consumers Online Purchase Intention towards Halal Food in Manila

The purpose of this paper is to determine and investigate the online purchase intention among Filipino non-Muslim consumers towards Halal food. The fact could be explained by the increased number of consumers who were ready to purchase Halal products. Aside from Muslims, who expends Halal products due to devout obligations, it is understood that non-Muslims have also started eating halal food. Utilizing multiple regression analysis, four models were tested and perceived risk, trust and confidence, website design quality, and online shopping enjoyment have been explored in this study to investigate the influence of Halal food towards online purchase intention among non-Muslim consumers using quantitative research method. Perceived Risk has been identified to be the most significant in predicting factors in an online purchase intention of Halal food. Furthermore, future studies are suggested to include additional variables such as consumers’ habits and knowledge of halal foo

Domestication and foreignization in the translation into English and Spanish of the work of Haruki Murakami

Existe una tendencia en el mundo anglosajón a realizar traducciones con un grado de domesticación superior al de otras culturas, por ejemplo, la española. Esto puede redundar en una lectura más fluida, pero que haga perder detalles de la cultura de la que procede el texto original. En este artículo, analizamos este fenómeno mediante el estudio de la traducción al español y al inglés de tres obras de Haruki Murakami.Translation in the English-speaking world follows guidelines that normally are more domesticating than the ones used in other cultures, e.g., the Spanish culture. A greater degree of domestication means a more fluid reading experience, but at a risk of dropping cultural ítems embedded in the original text in the process. In this paper, we will analyze this phenomenon by examining the translations into Spanish and English of three novels by Haruki Murakami

Monitorização do ambiente térmico tendo em vista o bem estar animal de suínos em fase de crescimento e engorda

Os constantes desenvolvimentos tecnológicos podem facilitar a gestão de sistemas produtivos que se baseiem no controlo contínuo e em tempo real da produção, do bem-estar e da saúde dos animais, bem como das condições ambientais. Estes sistemas permitem aos produtores detetar, instantaneamente, problemas e ativar medidas de resposta imediata. O ambiente das instalações pecuárias apresenta-se como um dos principais fatores limitantes da produção. Situações de stress térmico podem causar uma diminuição nas performances dos animais, morbidade e até mesmo mortalidade, conduzindo a perdas económicas significativas e preocupações de bem-estar animal. O controlo ambiental das instalações pecuárias é tipicamente baseado nas taxas de produção de calor e humidade a níveis de temperatura ambiente predeterminados. Este método de controlo tradicional não satisfaz as verdadeiras necessidades térmicas dos animais, uma vez que não contabiliza alguns fatores ambientais, fisiológicos e comportamentais, atualmente conhecidos como influentes nas respostas produtivas do animal mediante as condições circundantes. Além disso, os avanços na genética animal, nutrição e práticas de gestão levaram a alterações consideráveis nas cargas de calor sensível e latente das instalações pecuárias modernas. Neste contexto, a zootecnia de precisão poderá ser o conceito básico para o desenvolvimento de um sistema de controlo avançado baseado em monitorização automática, numa frequência adequada de variáveis ambientais, fisiológicas e comportamentais. Este trabalho foi conduzido com o objetivo de perceber como se monitorizam os parâmetros ambientais e analisar a sua importância na produção e bem-estar de suínos em fase de engorda e acabamento

Innovative PLF Tool to Assess Growing-Finishing Pigs’ Welfare

The main goal of the AWARTECH project (Animal Welfare Adjusted Real Time Envi ronmental Conditions of Housing) was to develop an innovative precision livestock tool that will support and reinforce the pig value chain, through the management of solutions based on monitoring, analysis and control of environmental, physiological, behaviour and animal performances parameters. Environmental data was collected by sensors of temperature, relative humidity, air velocity and gas concentration, which are integrated in an environmental control system (Webisense) and in a platform (Nidus). Webisense controlled the ventilation system, the cooling system and the heating system. The rectal and body surface temperatures were registered manual and automatically. In order to monitor the behaviour of the animals, video cameras were installed. An individual feeding machine equipped with a scale has been also installed. This equipment allow, through an RFID system, the individual monitoring and control of the amount of food supplied and ingested; the number and duration of visits; and the animal’s weight. The development of the AWARTECH platform resulted from the integration of data provided by Webisense, Nidus, feeding machine and video analytics as well as physiological data. This platform allows the control the environmental conditions based on welfare indicators promoting animal welfare

Preprint arXiv: 220911058 Submitted on 22 Sep 2022

Circuit design for quantum machine learning remains a formidable challenge. Inspired by the applications of tensor networks across different fields and their novel presence in the classical machine learning context, one proposed method to design variational circuits is to base the circuit architecture on tensor networks. Here, we comprehensively describe tensor-network quantum circuits and how to implement them in simulations. This includes leveraging circuit cutting, a technique used to evaluate circuits with more qubits than those available on current quantum devices. We then illustrate the computational requirements and possible applications by simulating various tensor-network quantum circuits with PennyLane, an open-source python library for differential programming of quantum computers. Finally, we demonstrate how to apply these circuits to increasingly complex image processing tasks, completing this overview of a flexible method to design circuits that can be applied to industrially-relevant machine learning tasks

La comunicación participativa como herramienta que fortalece la junta de programación de la OSP Emisora Comunitaria Ecos del Rosario

El presente documento aborda la importancia de la comunicación participativa implementada en la OSP (Organización Social Participativa) Ecos del Rosario del municipio de Anolaima Cundinamarca, se reconoce como la junta de programación de la Emisora Comunitaria es una herramienta necesaria para abrir espacios a una comunicación pluralista, donde se escuchan las voces de los diferentes sectores del municipio , se argumenta como la comunicación participación conlleva encontrar salidas a los inconvenientes de la comunidad, evitando sesgos ideológicos, compartiendo un mensaje de esperanza a los sectores rurales y urbanos. Los vínculos sociales representados por medio de la junta de programación fortalecen de manera integral el sistema de comunicación de la organización a nivel interno y externo, como también las plataformas digitales perteneciente a la OSP Ecos del Rosario, creando instrumentos donde los miembros de la organización consignan sus propuestas para ser socializadas en cada encuentro, articulando el trabajo entre la OSP, la junta de programación y la comunidad, contribuyendo a una comunicación más horizontal , participativa y constante.This document addresses the importance of participatory communication implemented in the OSP (Participatory Social Organization) Ecos del Rosario of the municipality of Anolaima Cundinamarca, it is recognized as the programming board of the Community Station is a necessary tool to open spaces for pluralistic communication , where the voices of the different sectors of the municipality are heard, it is argued that participation communication entails finding solutions to the problems of the community, avoiding ideological biases, sharing a message of hope to rural and urban sectors. The social ties represented by the programming board comprehensively strengthen the organization's communication system internally and externally, as well as the digital platforms belonging to the OSP Ecos del Rosario, creating instruments where the members of the organization consign their proposals to be socialized in each meeting, articulating the work between the OSP, the programming board and the community, contributing to a more horizontal, participatory and constant communication

Relación entre la temperatura y actividad fotocatalítica de un sistema de fotocatálisis mediante proceso fenton con UV

Se desarrolló un software en la plataforma Labview para monitorear la temperatura en un proceso de fotocatálisis con hierro soportado en nanotubos de carbono. Para la realización de este software se utilizaron 4 termopares tipo k e igualmente se utilizó el módulo de acondicionamiento SC-TC01 y el módulo de adquisición de datos SC-2345 ambos de la empresa National Instruments. A partir del software realizado en Labview se procedió a realizar 8 distintas pruebas de fotocatálisis las cuales incluían distintos tipos y cantidades de catalizador e igualmente se utilizó distintas concentraciones molares de peróxido de hidrogeno para analizar como cambiaba la temperatura con distintos catalizadores y como dependía la temperatura de la temperatura ambiente para luego encontrar el catalizador que tuviera mejor resultado en la remoción de colorantes.Ingeniero (a) ElectrónicoPregrad

Lesiones por bayoneta en la Morella carlista (s. XIX)

X Congreso Nacional de Paleopatología. Univesidad Autónoma de Madrid, septiembre de 200

A machine learning based Distributed Congestion Control Protocol for multi-hop wireless networks

The application areas of multi-hop wireless networks are expected to experience sustained growth in the next years. This growth will be further supported by the current possibility of providing low-cost communication capabilities to any device. One of the main issues to consider with this type of networks is congestion control, that is, avoiding an excessive volume of data traffic that could lead to a loss of performance. In this work, a distributed congestion control mechanism is proposed for generic multi-hop networks. Different categories of data traffic are taken into account, each of them with different quality of service requirements. The mechanism is based on machine learning techniques, specifically, the CatBoost algorithm that uses gradient boosting on decision trees. The obtained decision trees are used to predict whether the packets to be transmitted over the network will reach their destination on time or not. This prediction will be made based on the network load state, which will be quantified by means of two parameters: the utilization factor of the different transmission channels, and the occupancy of the buffers of the network nodes. To make the values of these parameters available to all nodes in the network, an appropriate dissemination protocol has also been designed. Besides, a method to assign different transmission priorities to each traffic category, based on the estimation of the network resources required at any time, has also been included. The complete system has been implemented and evaluated through simulations, which show the correct functionality and the improvements obtained in terms of packet delivery ratio, network transit time, and traffic differentiation.Peer ReviewedPostprint (published version