nils-herrmann/clean_scirepeval huggingface dataset:
Diseno de guias de laboratorio para un curso de sistemas de potencia
Year: 2020

This article presents the development of four laboratory guides for a power systems course. The guides include the following aspects: 1) getting acquainted with the simulation software, 2) solving the load flow problem, 3) evaluating reliability and 4) making reactive power compensation. The guides develop the topics in a step by step basis; additionally, videos are included to facilitate the students understanding. key words: laboratory guides, simulation, power systems. 1. Introduccion Los sistemas de potencia se encargan de transmitir grandes bloques de energia desde los centros de generacion hasta los centros de consumo. Los elementos de un sistema de potencia incluyen las plantas de generacion, subestaciones, lineas de transmision y cargas. Cada uno de estos elementos se modela de forma diferente para su analisis, bien sea en estado estable o transitorio. El estudio de los sistemas de potencia incluye temas como el flujo de carga, la confiabilidad y la compensacion de reactivos. En este articulo los tres temas son abordados por medio de guias de laboratorio que complementan las ensenanzas de clase y presentan los temas de forma clara, concisa y didactica. A continuacion, se describe brevemente la naturaleza de los problemas desarrollados en las guias de laboratorio. El flujo de carga, tambien conocido como flujo de potencia consiste en determinar las magnitudes de las tensiones y los angulos en todas las barras de un sistema. Estas variables son conocidas como variables de estado 1 Estudiante de Ingenieria Electrica. Departamento de Ingenieria Electrica. Universidad de Antioquia, Medellin, Colombia, michell.rada@udea.edu.co 2 Estudiante de Ingenieria Electrica. Departamento de Ingenieria Electrica. Universidad de Antioquia, Medellin, Colombia, diego.restrepoo@udea.edu.co 3 Ph.D. Profesor del Departamento de Ingenieria Electrica. Universidad de Antioquia, Medellin, Colombia, jmaria.lopez@udea.edu.co
Sources of nitrous oxide and other climate relevant gases on surface area in a dairy free stall barn with solid floor and outside slurry storage
Year: 2018

Livestock production systems in agriculture are one of the major emitters of greenhouse gases. So far, the focus of research in the dairy farm sector was primarily on ruminal methane (CH4) emissions. Emissions of nitrous oxide (N2O) usually arise from solid manure or in deep litter free stall barns. Release of N2O occurs as a result of interactions between organic material, nitrogen and moisture. Data of N2O emissions from modern dairy barns and liquid manure management systems are rare. Thus, the goal of this research was to determine the main sources of trace gas emissions at the dairy farm level, including N2O. Areas such as the scraped surface area where dry and wet conditions alternate are interesting. Possible sources of trace gases within and outside the barn were localised by measuring trace gas concentration rates from different dairy farm areas (e.g. areas covered with urine and excrement or slurry storage system) via the closed chamber technique. The results indicate typical emission ratios of carbon dioxide (CO2) CH4 and N2O in the various areas to generate comparable equivalent values. Calculated on the basis of nitrogen excretion from dairy cows, total emissions of N2O were much lower from barns than typically measured in fields. However, there were also areas within the barn with individual events and unexpected release factors of N2O concentrations such as urine patches, polluted areas and cubicles. Emission factors of N2O ranged from 1.1 to 5.0 mg m 2 d 1, respectively, for cleaned areas and urine patches. By considering the release factors of these areas and their proportion of the entire barn, total emission rates of 371 CO2 eq. LU 1 a 1, 36 CO2 eq. LU 1 a 1, and 1.7 kg CO2 eq. LU 1 a 1 for CO2, CH4 and N2O, respectively, were measured for the whole barn surface area. The CH4 emissions from surface area were stronger climate relevant comparing to N2O emissions, but compared to CH4 emissions from slurry storage or ruminal fermentation (not measured) even insignificant.
Investigation of varied quenching media effects on the thermodynamical and structural features of a thermally aged CuAlFeMn HTSMA
Venue: Physica B: Condensed Matter
Year: 2019

In this research work, a Cu based HTSMA (high temperature shape memory alloy) with a new quaternary Cu 21.52Al 3.49Fe 1.95Mn (at% composition was produced by arc melting and the samples cut from this cast ingot alloy were aged all at 250 degC thermally for 1 h and then quenched or cooled in several different coolant media. In order to determine the effects of the quenching/cooling media on the characteristic martensitic transformation temperatures, thermodynamic parameters and structural features of the HTSMA alloy the thermal analyses were executed by differential scanning calorimetry (DSC) and differential thermal analysis (DTA) measurements at different heating/cooling rates for every sample quenched/cooled in different medium. The characteristic direct and reverse martensitic phase transitions occured at high temperatures (above 100 degC) were appeared on the all heating/cooling DSC curves. The DSC analyses also showed that the highest transformation temperatures were determined for the sample quenched in boiling water and the lowest ones for the sample that quenched in iced brine water. Among the coolant quenching media, the liquid nitrogen and boiling water with having the fastest coolant effects on the aged hotter alloy were found that they led alloy to have the least entalphy and entropy change amounts during martensitic phase transformations of this aged alloy. Also these fastest coolant media caused the formations of finest and neatest martensite structures in the alloy with the lowest degree of atomic orders. The X ray analyses were made at room conditions to determine the structural features, the diffraction planes and their corresponding phases of the aged CuAlFeMn alloy samples. For all of the samples, the prevailing martensite planes were observed as the peaks resulted from b1'(18R) planes and the largest crystallite size was determined for the alloy sample quenched in liquid nitrogen which implied that the sample became to have the finest single monolith crystallite with the lowest degree of atomic order, this came out just like the indications and results of DSC analyses. Furthermore, it can be said that using liquid nitrogen or boiling water as a coolant quenching medium after heat treatments on HTSMAs can give better results than using traditional iced brine water quenching medium. From all results, it is found that the type of quenching medium causes significant distinct effects on the heat treated CuAlFeMn HTSMA, so the different requirements demanded in SMA related applications can be afforded by choosing the appropriate aging and quenching method.
Subspace Representation Learning for Few shot Image Classification
Venue: ArXiv
Year: 2021

In this paper, we propose a subspace representation learning (SRL) framework to tackle few shot image classification tasks. It exploits a subspace in local CNN feature space to represent an image, and measures the similarity between two images according to a weighted subspace distance (WSD) When K images are available for each class, we develop two types of template subspaces to aggregateK shot information: the prototypical subspace (PS) and the discriminative subspace (DS) Based on the SRL framework, we extend metric learning based techniques from vector to subspace representation. While most previous works adopted global vector representation, using subspace representation can effectively preserve the spatial structure, and diversity within an image. We demonstrate the effectiveness of the SRL framework on three public benchmark datasets: MiniImageNet, TieredImageNet and Caltech UCSD Birds 200 2011 (CUB) and the experimental results illustrate competitive/superior performance of our method compared to the previous state of the art.
On a nonlinear fractional order model of dengue fever disease under Caputo Fabrizio derivative
Year: 2020

In this manuscript, we investigate epidemic model of dengue fever disease under Caputo and Fabrizio fractional derivative abbreviated as (CFFD) The respective investigation is devoted to qualitative theory of existence of solution for the model under consideration by using fixed point theory. After the establishing the qualitative aspect, we apply Laplace transform coupled with Adomian decomposition method to develop an algorithm for semi analytical solution under CFFD. In same line, we also develop the semi analytical solution for the considered model under usual Caputo fractional derivative (CFD) By using Matlab, we present both type of solutions via graphs and hence give some comparative remarks about the nature of the solutions of both derivatives.
Construction of Health Management Service Model for the Old Age
Year: 2015

In order to achieve active aging, old age health management must be paid attention to. Service should focus on communities and families. Independent health management centers and mutual help groups should be established. Chronic disease management should be carried out according to the grade and disease. Rehabilitation training and the use of assistive product are important. The government should give financial support and promote standard construction, establish standardized and shareable electronic health record, and construct professional team to improve the quality of old age health management service.
Galectin 3 is required for the microglia mediated brain inflammation in a model of Huntington's disease
Venue: Nature Communications
Year: 2019

Huntington's disease (HD) is a neurodegenerative disorder that manifests with movement dysfunction. The expression of mutant Huntingtin (mHTT) disrupts the functions of brain cells. Galectin 3 (Gal3) is a lectin that has not been extensively explored in brain diseases. Herein, we showed that the plasma Gal3 levels of HD patients and mice correlated with disease severity. Moreover, brain Gal3 levels were higher in patients and mice with HD than those in controls. The up regulation of Gal3 in HD mice occurred before motor impairment, and its level remained high in microglia throughout disease progression. The cell autonomous up regulated Gal3 formed puncta in damaged lysosomes and contributed to inflammation through NFkB and NLRP3 inflammasome dependent pathways. Knockdown of Gal3 suppressed inflammation, reduced mHTT aggregation, restored neuronal DARPP32 levels, ameliorated motor dysfunction, and increased survival in HD mice. Thus, suppression of Gal3 ameliorates microglia mediated pathogenesis, which suggests that Gal3 is a novel druggable target for HD. The authors show that Galectin 3 is up regulated in brain tissues from patients and a mouse model of Huntington's disease (HD) and correlates with disease severity. Galectin 3 accumulates at damaged lysosomes in HD microglia, prevents the clearance of damaged lysosomes, and promotes inflammation.
LCA of integrated MSW management systems: case study of the Bologna District.
Venue: Waste management
Year: 2007

LCA as a decision supporting tool in planning integrated municipal solid waste management is not, as yet, widely used in Italy. This paper presents a study concerning the application of the LCA methodology to support the development of the new waste management plan for the Bologna District. The main goal of the study was to show decision makers at the political level the benefits obtainable with the use of LCA, in terms of the identification and quantification of the potential environmental impacts of different waste management strategies. The integrated waste management system of the Bologna District includes waste collection and transport, sorting, recycling, composting, incineration and landfilling. Three scenarios, referring to 2006 and assuming the presence of 950,000 inhabitants and the production of approximately 566,000 t of waste in the district, have been compared. A detailed model has been developed in order to capture effects related to the waste fraction from separated collection and to the different waste treatments. The discussion of the results has focussed in particular on the greenhouse effect and the acidification potential. On the basis of the results obtained, the analysis of an additional scenario characterised by a further increase in separated collection has been put forward.
A vote for the President? The role of Spitzenkandidaten in the 2014 European Parliament elections
Year: 2014

The European Parliament promised voters that the 2014 elections would be different. According to its interpretation of the Lisbon Treaty, a vote in these European elections would also be a vote for the President of the Europe's executive, the Commission. To reinforce this link between the European elections and the Commission President, the major political groups each nominated a lead candidate, Spitzenkandidat, for the post. This article examines how this innovation affected the 2014 elections. It concludes that the presidential candidates did not play a major role in the election campaigns, except in a handful of countries, and thus had a limited impact on voter participation and vote choices. However, the European Parliament was very successful in imposing its interpretation of the new modified procedure for electing the Commission President, not shared by all national governments, and this will have important implications for the inter institutional dynamics in the Union and the future of European democracy.
Universal behaviour of high Q Fano resonances in metamaterials: terahertz to near infrared regime
Venue: Nano Convergence
Year: 2018

The observation of Fano resonance phenomena is universal across several branches of physics. Photonics is one of the most important areas of physics that mainly deals with the control of light propagation and localization through its interaction with natural and artificially engineered media. In an era of miniaturization, manipulation of light at micro nanoscales has assumed unprecedented significance due to its potential to satisfy the mankind with disruptive future technologies. In this work, we present our study on the universality of high quality factor Fano resonances in planar metamaterials across terahertz and infrared parts of the electromagnetic spectrum. The narrow linewidth asymmetric Fano resonant metamaterials have tremendous potential to find applications in micro nanoscale flat lasers, sensors, and ultra resolution spectrometers.
Committee Draft of JPEG XL Image Coding System
Venue: ArXiv
Year: 2019

JPEG XL is a practical approach focused on scalable web distribution and efficient compression of high quality images. It provides various benefits compared to existing image formats: 60% size reduction at equivalent subjective quality; fast, parallelizable decoding and encoding configurations; features such as progressive, lossless, animation, and reversible transcoding of existing JPEG with 22% size reduction; support for high quality applications including wide gamut, higher resolution/bit depth/dynamic range, and visually lossless coding. The JPEG XL architecture is traditional block transform coding with upgrades to each component.
Deep Learning for Distributed Optimization: Applications to Wireless Resource Management
Venue: IEEE Journal on Selected Areas in Communications
Year: 2019

This paper studies a deep learning (DL) framework to solve distributed non convex constrained optimizations in wireless networks where multiple computing nodes, interconnected via backhaul links, desire to determine an efficient assignment of their states based on local observations. Two different configurations are considered: First, an infinite capacity backhaul enables nodes to communicate in a lossless way, thereby obtaining the solution by centralized computations. Second, a practical finite capacity backhaul leads to the deployment of distributed solvers equipped along with quantizers for communication through capacity limited backhaul. The distributed nature and the non convexity of the optimizations render the identification of the solution unwieldy. To handle them, deep neural networks (DNNs) are introduced to approximate an unknown computation for the solution accurately. In consequence, the original problems are transformed to training tasks of the DNNs subject to non convex constraints where existing DL libraries fail to extend straightforwardly. A constrained training strategy is developed based on the primal dual method. For distributed implementation, a novel binarization technique at the output layer is developed for quantization at each node. Our proposed distributed DL framework is examined in various network configurations of wireless resource management. Numerical results verify the effectiveness of our proposed approach over existing optimization techniques.
Emotional Intelligence in Malaysian Police: A Review
Venue: Journal of Cognitive Sciences and Human Development
Year: 2019

This article discussed the findings of previous studies on emotional intelligence in Royal Malaysia Police. Based on the review, emotional intelligence related to job stress, job satisfaction, job commitment, work life balance, and psychological well being of police officers. Review concludes that no significant differences in emotional intelligence by demographic factors like salary, working department, age, marital status, length of service, and job position. Police department has to organise training and seminars to enhance the emotional intelligence level of police officers. More studies have to be done on emotional intelligence in the police department, thus the findings will be helpful for the organisation's development.  Demographic factors; Police job nature; Job stress; Royal Malaysia Police
Long term exposure to PFE 360 in the AAV a synuclein rat model: findings and implications
Year: 2018

Treatment of Parkinson's disease is reliant on symptomatic treatments, without any option to slow or halt disease progression. Mutations in LRRK2 and a synuclein are known risk factors for Parkinson's disease. Presence of a synuclein aggregates at autopsies in both idiopathic and most G2019S cases is suggestive of a common disease pathogenesis. LRRK2 and a synuclein interaction is hypothesized to play a pivotal role in the pathological mechanisms and inhibitors of LRRK2 are investigated as novel disease modulatory treatments in the clinic. However, preclinical in vivo evidence of a beneficial effect of LRRK2 inhibition is mixed and limited. This study increases our understanding of LRRK2 as a mediator of neuronal dysfunction and the potential of LRRK2 as a promising target in PD.
Safe and unsafe spaces: Non fatal overdose, arrest, and receptive syringe sharing among people who inject drugs in public and semi public spaces in Baltimore City.
Venue: The International journal on drug policy
Year: 2018

The spaces in which drug use occurs constitutes a key aspect of the "risk environment" of people who inject drugs (PWID) We aimed to add nuance to the characterization of "safe" and "unsafe" spaces in PWID's environments to further understand how these spaces amplify the risk of morbidities associated with injection drug use. PWID were recruited through the Baltimore City syringe service program and through peer referral. Participants completed a socio behavioral survey. Multivariable logistic regression was used to identify associations between utilization of public, semi public and private spaces with arrest, non fatal overdose, and receptive syringe sharing. The sample of PWID (N 283) was mostly 45 years and older (54% male (69% Black (55% and heroin users (96% Compared to PWID who primarily used private settings, the adjusted odds of recent overdose were greater among PWID who mostly used semi public and public locations to inject drugs. We also found independent associations between arrest and semi public spaces, and between receptive syringe sharing and public spaces (all p 0.05) This study highlights the need for safe spaces where PWID can reduce their risk of overdose, likelihood of arrest and blood borne diseases, and the dual potential of the environment in promoting health and risk.
User engaging practices for energy saving in buildings: Critical review and new enhanced procedure
Year: 2017

Occupant behaviour determines how energy is spent in buildings. In addition to properties of building thermal envelops and technical features of HVAC systems, it can drastically influence the consumption of energy. Applied ICT solutions have been recognised as an essential factor for reducing consumptions and emissions in the operational stage of buildings. However, keeping users engaged is still a challenge to overcome. This paper aims to critically review approaches for user engagement from conceptual and technical points of view and to propose an enhanced engaging procedure. Common user engaging practices provide advices on how to save energy or present feedbacks through a number of solutions. Generally, these solutions detect direct measures through sensors, but barely make information valuable to users. The proposed engaging procedure intends ensuring user commitment through a bottom up approach based on gaming strategies, conceived upon user made rules. Basically, by means of a dedicated platform, users are able to define specific rules tackling everyday life actions, experiencing in an active way the use of sensors and actuators. Additionally, a set of rules, generated beforehand by experts for promoting energy saving behavioural changes, is gradually proposed through the platform accordingly to user commitment level.
Outline of Korean Packaging Industry
Year: 2016

This paper describes an overview of the packaging industry in Korea. Packaging plays an important role to connect the dot between primary and secondary industry. Moreover, it performs the visual merchandising of product, resulting in synergetic effect with quality of merchandise. As more convergence of primary and secondary industry accelerates, packaging industry became more competitive as well as critical area. Korea Packaging Center (KOPACK) in Korea Institute of Industrial Technology (KITECH) has conducted the national market survey of packaging industry since 2010, biannually. Firstly, Korea packaging industry was categorized. For defining the Korea packaging industry, Korea Standard Industry Code (KSIC) is used to divide the group into wood, paper, plastic, glass, metal and packaging machinery. Based on these categories, the market size was estimated with survey of 2,180 packaging companies. In this study, the results of this survey are summarized, and the key trends of each category are described.
Particle size effects in the catalytic electroreduction of CO2 on Cu nanoparticles.
Venue: Journal of the American Chemical Society
Year: 2014

A study of particle size effects during the catalytic CO2 electroreduction on size controlled Cu nanoparticles (NPs) is presented. Cu NP catalysts in the 2 15 nm mean size range were prepared, and their catalytic activity and selectivity during CO2 electroreduction were analyzed and compared to a bulk Cu electrode. A dramatic increase in the catalytic activity and selectivity for H2 and CO was observed with decreasing Cu particle size, in particular, for NPs below 5 nm. Hydrocarbon (methane and ethylene) selectivity was increasingly suppressed for nanoscale Cu surfaces. The size dependence of the surface atomic coordination of model spherical Cu particles was used to rationalize the experimental results. Changes in the population of low coordinated surface sites and their stronger chemisorption were linked to surging H2 and CO selectivities, higher catalytic activity, and smaller hydrocarbon selectivity. The presented activity selectivity size relations provide novel insights in the CO2 electroreduction reaction on nanoscale surfaces. Our smallest nanoparticles ~2 nm) enter the ab initio computationally accessible size regime, and therefore, the results obtained lend themselves well to density functional theory (DFT) evaluation and reaction mechanism verification.