196,383 research outputs found
Ruo y curro, dos formas de correr en lat\uedn
El prop\uf3sito del siguiente estudio es demostrar la compleja
realidad ling\ufc\uedstica que ata\uf1e a los verbos ruo y curro. Entre estos
dos verbos de movimiento existe una diferenciaci\uf3n sem\ue1ntica
que las traducciones no pueden expresar de forma sint\ue9tica y que
a menudo no recogen. Para poner de manifiesto que la elecci\uf3n de
un verbo u otro no es arbitraria recurrimos a un estudio ling\ufc\uedstico
basado en un corpus de ejemplos extra\ueddos de Plauto, Livio y Virgilio,
autores representativos de los g\ue9neros literarios que cultivan.
Mediante el an\ue1lisis comparativo de ruo y curro y los elementos
centrales que intervienen en una situaci\uf3n de movimiento se determinan
unos marcos predicativos distintos para cada verbo. Cabe poner \ue9nfasis en la posibilidad de ruo y curro de expresar un movimiento metaf\uf3rico, m\ue1s all\ue1 de la expresi\uf3n de un desplazamiento
real o f\uedsic
P2X7 receptors exert a permissive effect on the activation of presynaptic AMPA receptors in rat trigeminal caudal nucleus glutamatergic nerve terminals
Background: Purine receptors play roles in peripheral and central sensitization and are associated with migraine headache. We investigated the possibility that ATP plays a permissive role in the activation of AMPA receptors thus inducing Glu release from nerve terminals isolated from the rat trigeminal caudal nucleus (TCN). Methods: Nerve endings isolated from the rat TCN were loaded with [3H]D-aspartic acid ([3H]D-ASP), layered into thermostated superfusion chambers, and perfused continuously with physiological medium, alone or with various test drugs. Radioactivity was measured to assess [3H]D-ASP release under different experimental conditions. Results: Synaptosomal [3H]D-ASP spontaneous release was stimulated by ATP and to an even greater extent by the ATP analogue benzoylbenzoylATP (BzATP). The stimulation of [3H]D-ASP basal release by the purinergic agonists was prevented by the selective P2X7 receptor antagonist A438079. AMPA had no effect on basal [3H]D-ASP release, but the release observed when synaptosomes were exposed to AMPA plus a purinoceptor agonist exceeded that observed with ATP or BzATP alone. The selective AMPA receptor antagonist NBQX blocked this "excess"release. Co-exposure to AMPA and BzATP, each at a concentration with no release-stimulating effects, evoked a significant increase in [3H]D-ASP basal release, which was prevented by exposure to a selective AMPA antagonist. Conclusions: P2X7 receptors expressed on glutamatergic nerve terminals in the rat TCN can mediate Glu release directly and indirectly by facilitating the activation of presynaptic AMPA receptors. The high level of glial ATP that occurs during chronic pain states can promote widespread release of Glu as well as can increase the function of AMPA receptors. In this manner, ATP contributes to the AMPA receptor activation involved in the onset and maintenance of the central sensitization associated with chronic pain
Fighting Hospital Infections with Engineering 4.0
In the repeated interventions carried out by the authors in the healthcare sector [1-4] (hospitals, outpatient clinics and clinics), including assistance facilities (residences for the elderly and outpatient medical offices) the problem of so-called hospital or nosocomial infections has always been reported to the team by the medical and nursing staff. Starting from an age-old experience of sanitization of confined environments, achieved by the authors by using a 4.0 machine, for the production of gaseous ozone and UVC rays [8], it was required to the team to extend the benefits achieved to the healthcare sector. This goal was possible by generating a dedicated approach, for an effective action to combat this serious problem of global significance. The machine mentioned was conceptualized, designed and developed by the authors by specific Engineering 4.0 methodologies, meaning with this term the use of all Engineering technologies, techniques, software, tools, and devices characterizing the fourth industrial revolution
Smart Inventory 4.0: Advanced version
The Authors of this paper had first conceptualized and then developed the automated picking plant described in the paper “A 4.0 Automated Warehouse Storage and Picking System for Order Fulfillment”, presented by the Authors to the WCE 2021 IAENG Congress and awarded with the “Best Paper Award of the 2021 International Conference of Manufacturing Engineering and Engineering Management”. In the perspective of the continuous improvement of Industry 4.0 they have brought to this first system the significant functional improvements object of this paper. In particular, having found that the loading of the goods in the individual boxes was carried out by the Operators in this factory by using ladders on which they climbed, without the necessary PPE and carrying the load manually, with the consequent risk of falling from such heights (3-6m) to cause even serious physical damage, the Authors first studied and then implemented an automatic loading system. A second problem was then highlighted for the storage of special products such as Food and Pharma, that, unlike what happens in the Beauty Sector (for which the plant was designed), need to remain in specific conditions of temperature and relative humidity. The paper describes how, in this new version, the two parameters are monitored in each single box by means of appropriate sensors that send alerts to the centralized control system when these parameters are outside the preset threshold. In this way, prompt remedial intervention is possible, avoiding the deterioration of the contents of the boxes and the consequent economic damage deriving from their alienation. All this is made possible at acceptable costs thanks to the technologies offered by Industry 4.0 such as modern robotics and Data Centralization via IIoT for monitoring and control
Major accident prevention: A Construction Site Approach for Pro-active Management of Unsafe Conditions
In large-scale construction projects, site situation and surrounding environment can change daily. This is due to multiple factors acting as “incident catalysts”, like less, or un-skilled workers, outsourcing, more complex construction phases (heights or confined spaces), under pressure working conditions, as well as changes in environmental conditions (e.g. wind, temperature, etc.). It is essential to acquire a statistical significant reference concerning the unsafe acts and risky behaviour to implement proactive measures preventing occurrences of major incidents. In this paper, the construction phase in the Middle East of one of the world’s largest oil and petrochemical integrated complex was considered. Starting from the accident/incident pyramid approach, management, direct field supervisors, as well as subcontractors were involved in the development and upgrading of a Multilayer Reporting System, covering any risk behaviours, unsafe situation, violations or acts, safety or environmental issues, near misses as well as minor, or major accidents. The modular approach provided a comprehensive overview of the core human and technical issues in the construction and testing of the process plant, suggesting how to implement technical and managerial solutions to handle them effectively, reduce the likelihood of errors, violations and avoid damages to the facilities, environment and humans
Prediction of mineral composition in commercial extruded dry dog food by near-infrared reflectance spectroscopy
The pet food industry is interested in performing fast analyses to control the nutritional quality of their products. This study assessed the feasibility of near-infrared spectroscopy to predict mineral content in extruded dry dog food. Mineral content in commercial dry dog food samples (n = 119) was quantified by inductively coupled plasma optical emission spectrometry and reflectance spectra (850–2500 nm) captured with FOSS NIRS DS2500 spectrometer. Calibration models were built using modified partial least square regression and leave-one-out cross-validation. The best prediction models were obtained for S (coefficient of determination; R2 = 0.89), K (R2 = 0.85), and Li (R2 = 0.74), followed by P, B, and Sr (R2 = 0.72 each). Only prediction models for S and K were adequate for screening purposes. This study supports that minerals are difficult to determine with NIRS if they are not associated with organic molecules
An Application of Engineering 4.0 to Hospitalized Patients
In this paper the authors address the problem of surveillance of bedridden patients in hospitals and residences for elderly. Unfortunately, patients cannot be supervised by operators 24 h a day, given the associated costs. An attempt to solve this problem is already provided by wearable devices. This paper describes a 4.0 system implemented to overcome the limits (identified by interviewing a sample of nurses belonging to different facilities) of the wearable devices available on the market. The system proposed consists in monitoring the bed, instead of the patient, through applied sensors. By centralizing and analyzing the data collected it is possible to promptly inform the operative center of the occurrence of risky events to which bedridden patients are normally subjected. The scope of the system is preventing such risks, where possible, or mitigating their effects with a real time intervention. A case study on an active facility, conducted as a pilot project, confirms the humanitarian and economic benefits for patients and facility
Engineering Solutions 4.0 in the fight against the spread of Covid 19 A new Methodology including processes, procedures and devices
Thanks to the principles and technologies made available by Industry 4.0, the authors conceptualized and modeled a new strategy, capable of making an effective contribution to the problem of limiting contagion from Covid19 today, and tomorrow from any possible other type virus, bacteria or pathogen agent introduced by subjects who, although unaware of being vectors, develop the infection only after their access to the places of stay (Hotel, office, Infrastructure, etc.) where they go to reside. The key point of the strategy is a 4.0 thermoscanner, created by the authors, which is positioned in appropriately chosen locations of the settlement and an innovative method of disinfection of the same implemented by means of UV-C rays and Ozone in the gaseous state, produced by a machine, also conceptualized and developed by the authors, capable of reproducing the Chapman Cycle with the associated advantages. Therefore, it is operated an absolute disinfection based on a reversible cycle Oxygen-Ozone-Oxygen, with a prompt re-habitability of the treated rooms, with minimal treatment costs and without the use of expensive and unhealthy chemicals or wet water vapor (incompatible with paper and electronics). This technology was described in the paper “Sanitizing of Confined Spaces Using Gaseous Ozone Produced by 4.0 Machines” presented by the authors to the WCE 2021 IAENG Congress and awarded with the “Best Paper Award of the 2021 International Conference of Systems Biology and Bioengineering”. In the presence of a Person with a fever, the thermoscanner automatically launches an alert to the site Safety officers, who confine him to an isolated place and make the Health Institutions intervene and take it over
A field study on human factor and safety performances in a downstream oil industry
afety culture and awareness by workers are pivotal tools for the implementation of systematic procedures aiming to risk mitigation in the process industry. The evaluation of human factors on safety performance can reveal unsafe attitudes and failures in training, supervision and management, whose correction greatly contribute to the enhancement of safety program. In this work, the role of human factors in an oil industry was studied by the collection of field data through a structured questionnaire filled by shift, daily and outsourced workers. A deep investigation on the variables involved in the process was carried out, firstly quantifying three conceptual key dimensions (individual, human resource management, equipment and technology) and then analyzing data by means of Response Surface Methodology (RSM), to identify the statistical significant factors and the overall level of safety awareness, behaviour and risk perception of the respondents
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