1,110 research outputs found
On the continuous contract verification using blockchain and real-time data
Supply chains play today a crucial role in the success of a company's logistics. In the last years, multiple investigations focus on incorporating new technologies to the supply chains, being Internet of Things (IoT) and blockchain two of the most recent and popular technologies applied. However, their usage has currently considerable challenges, such as transactions performance, scalability, and near real-time contract verification. In this paper we propose a model for continuous verification of contracts in supply chains using the benefits of blockchain technology and real-time data acquisition from IoT devices for early decision-making. We propose two platform independent optimization techniques (atomic transactions and grouped validation) that enhances data transactions protocol and the data storage procedure and a method for continuous verification of contracts, which allows to take corrective actions to reduce ¿This work has been partially supported by the project “CABAHLA-CM: Convergencia Big data-Hpc: de los sensores a las Aplicaciones” S2018/TCS-4423 from Madrid Regional Government and by the Spanish Ministry of Science and Innovation Project “New Data Intensive Computing Methods for High-End and Edge Computing Platforms (DECIDE)”. Ref. PID2019-107858GB-I00
Impact of askling L-PROTOCOL on biceps femoris architecture, hamstring flexibility and sprint performance
Eccentric training has been shown to be important for hamstring strain injuries rehabilitation and prevention. The Askling L-PROTOCOL (L-P), comprising three exercises aimed at eccentric training and hamstring lengthening, was shown to improve this injuries recovery and relapse times in comparison with other traditional exercise-based protocols. However, the causes of these results remain unclear. This study looks at the impact of an 8-week L-P followed by 4 weeks of detraining on the architecture of the biceps femoris long head, hamstring flexibility and sprint performance. Twenty-eight healthy individuals were divided into two groups: an experimental group, which carried out the L-P, and a control group with no training. Muscle architecture was measured using 2D ultrasound, hamstring flexibility using goniometry and sprint performance using sports radar equipment before (M1) and after (M2) the training period and after detraining (M3). No significant changes were observed between M1 and M2 in the experimental group with regard to fascicle length (t=− 0.79, P>0.05), theoretical maximum speed (t=− 1.43, P>0.05), horizontal force (t=0.09, P>0.05), force application during sprint running (t=− 0.09, P>0.05) and horizontal power (t=− 0.97, P>0.05), but, however, changes were observed in hamstring flexibility (t=− 4.42, d=0.98, P0.05). L-P has been shown to be an eccentric protocol of moderate intensity and easy implementation that could be interesting to include throughout a sports season
Parsimonious Argument Annotations for Hate Speech Counter-narratives
We present an enrichment of the Hateval corpus of hate speech tweets (Basile
et. al 2019) aimed to facilitate automated counter-narrative generation.
Comparably to previous work (Chung et. al. 2019), manually written
counter-narratives are associated to tweets. However, this information alone
seems insufficient to obtain satisfactory language models for counter-narrative
generation. That is why we have also annotated tweets with argumentative
information based on Wagemanns (2016), that we believe can help in building
convincing and effective counter-narratives for hate speech against particular
groups.
We discuss adequacies and difficulties of this annotation process and present
several baselines for automatic detection of the annotated elements.
Preliminary results show that automatic annotators perform close to human
annotators to detect some aspects of argumentation, while others only reach low
or moderate level of inter-annotator agreement
Estrategia de comunicación interna para la empresa Perú Intercargo (PIC)
La empresa de logística PeruInterCargo (PIC) experimenta una crisis interna por una débil Cultura Corporativa y por la fuga de talento por parte de sus colaboradores. Para contrarrestarlo es necesario desarrollar una estrategia de Comunicación Interna en coordinación con Recursos Humanos para impulsar el compromiso de los líderes. Se propone un nuevo carácter para el liderazgo en PIC orientado al servicio y el desarrollo de aquellos de los que está a cargo. El rol protagónico del nuevo líder PIC buscará hacer posible que cada colaborador se apropie de la propuesta de valor.The logistics company PeruInterCargo (PIC) experiences an internal crisis due to a weak Corporate Culture and the flight of talent from its collaborators. To counteract this, it is necessary to develop an Internal Communication strategy in coordination with Human Resources to promote the commitment of the leaders. A new character is proposed for leadership in PIC oriented to the service and development of those of whom it is in charge. The leading role of the new PIC leader will seek to make it possible for each collaborator to take ownership of the value proposition
Perspective: A stirring role for metabolism in cells
Based on recent findings indicating that metabolism might be governed by a limit on the rate at which cells can dissipate Gibbs energy, in this Perspective, we propose a new mechanism of how metabolic activity could globally regulate biomolecular processes in a cell. Specifically, we postulate that Gibbs energy released in metabolic reactions is used to perform work, allowing enzymes to self‐propel or to break free from supramolecular structures. This catalysis‐induced enzyme movement will result in increased intracellular motion, which in turn can compromise biomolecular functions. Once the increased intracellular motion has a detrimental effect on regulatory mechanisms, this will establish a feedback mechanism on metabolic activity, and result in the observed thermodynamic limit. While this proposed explanation for the identified upper rate limit on cellular Gibbs energy dissipation rate awaits experimental validation, it offers an intriguing perspective of how metabolic activity can globally affect biomolecular functions and will hopefully spark new research
CSF1R blockade slows the progression of amyotrophic lateral sclerosis by reducing microgliosis and invasion of macrophages into peripheral nerves
Inflammation is a common neuropathological feature in several neurological disorders, including amyotrophic lateral sclerosis (ALS). We have studied the contribution of CSF1R signalling to inflammation in ALS, as a pathway previously reported to control the expansion and activation of microglial cells. We found that microglial cell proliferation in the spinal cord of SOD1G93A transgenic mice correlates with the expression of CSF1R and its ligand CSF1. Administration of GW2580, a selective CSF1R inhibitor, reduced microglial cell proliferation in SOD1G93A mice, indicating the importance of CSF1-CSF1R signalling in microgliosis in ALS. Moreover, GW2580 treatment slowed disease progression, attenuated motoneuron cell death and extended survival of SOD1G93A mice. Electrophysiological assessment revealed that GW2580 treatment protected skeletal muscle from denervation prior to its effects on microglial cells. We found that macrophages invaded the peripheral nerve of ALS mice before CSF1R-induced microgliosis occurred. Interestingly, treatment with GW2580 attenuated the influx of macrophages into the nerve, which was partly caused by the monocytopenia induced by CSF1R inhibition. Overall, our findings provide evidence that CSF1R signalling regulates inflammation in the central and peripheral nervous system in ALS, supporting therapeutic targeting of CSF1R in this disease
Análisis comparativo de emisiones de CO2 de un motor empleando diésel y biodiesel
Contextualization: Since the Kyoto protocol and the Paris Summit, the reduction of greenhouse gases, GHG, caused by anthropic activity, has become vitally important in the world, given the critical emission indicators with harmful effects on the climate.
Knowledge gap: Within this panorama, preliminary researches does not agree on which fuel generates the lowest CO2 emissions: diesel or biodiesel.
Purpose: For this reason, and seeking to provide information to propose sustainable energy alternatives from substitutes for fossil fuels, it was necessary to quantify and evaluate CO2 emissions from diesel engines, for which purpose, the experiment was carried out with the purpose of use commercial diesel and biodiesel, and determine their CO2 emissions, for this a compression engine from a power plant was used, with fixed factors such as the amount of fuel to be used established at 100 grams.
Methodology: The experiment was statistically supported by a factorial design of two factors: type of diesel with two levels and power generated with three levels, and the joint effect that these factors produce on CO2 emission was determined. For this, the motor was subjected to the execution of three jobs related to three generated powers: 0.5kW-1.0kW-1.5kW; which caused for each power level, different flows or consumption of fuel and air, and different CO2 emissions.
Results and conclusions: The results indicate that: using any fuel, the air/fuel ratio is lower and the molar fraction of CO2 is higher when more work is done; the experiment showed that the molar fraction of B10 is greater than that of B100: 0,15 and 0,13, respectively, so it cannot be generalized that the higher CO2 emission is caused by commercial diesel. The greater or lesser emission depends on the chemical composition of the fuel.Contextualización: Desde el protocolo de Kioto y la Cumbre de París, la reducción de gases de efecto invernadero, GEI, causados por la actividad antrópica, en el mundo ha cobrado vital importancia, dado los indicadores críticos de emisión con efectos nocivos en el clima.
Vacío de investigación: Dentro de este panorama, investigaciones preliminares no tienen puntos de acuerdo sobre qué combustible genera menores emisiones de CO2: el diésel o el biodiésel.
Propósito del estudio: Por esta razón, y buscando fundamentar información que permita proponer alternativas energéticas sustentables a partir de sustitutos de combustibles fósiles, fue necesario cuantificar y evaluar las emisiones de CO2, proveniente de motores diésel, para lo cual, se realizó el presente experimento que tuvo como propósito emplear diésel comercial B10 y biodiésel B100, y determinar sus emisiones de CO2, para ello se utilizó un motor de compresión de una planta eléctrica, con factores fijos como la cantidad de combustible a emplear establecida en 100 gramos.
Metodología: El experimento, se apoyó estadísticamente con un diseño factorial de dos factores: tipo de diésel con dos niveles y potencia generada con tres niveles, y se determinó el efecto conjunto que estos factores producen en la emisión de CO2. Para esto, el motor fue sometido a la generación de tres potencias: 0,5kW-1,0kW-1,5kW; lo cual propició para cada nivel de potencia, diferentes caudales o consumos de combustible y aire, y diferentes emisiones de CO2.
Resultados y conclusiones: Los resultados indican que: empleando cualquier combustible la relación aire/combustible es menor y la fracción molar de CO2 es mayor cuando se genera más potencia; el experimento mostró que la fracción molar de B10 es mayor que la del B100: 0,15 y 0,13, respectivamente, con lo cual no puede generalizarse que la mayor emisión de CO2 la propicie el diésel comercial, pues la mayor o menor emisión depende de la composición química del combustible
- …