nils-herrmann/clean_scirepeval huggingface dataset:
ACUMULO DE MASSA SECA E MACRONUTRIENTES PELO SORGO SACARINO EM DIFERENTES NIVEIS DE ADUBACAO NPK
Venue: Revista Brasileira de Milho e Sorgo
Year: 2019

Com o objetivo de determinar o acumulo de massa seca e macronutrientes ao longo do ciclo do sorgosacarino BRS 506, em diferentes niveis de adubacao NPK, foram instalados experimentos por dois anos, em Latossolo,sob irrigacao. Utilizou se o delineamento experimental de blocos ao acaso, com quatro repeticoes. Os tratamentosforam de quatro niveis tecnologicos, relacionados a adubacao N P2O5 K2O, em kg ha 1: muito baixo (NPK 0 0 0);baixo (NPK 80 50 80) medio (NPK 160 100 160) e alto (NPK 240 150 240) Avaliaram se o acumulo demassa seca e macronutrientes aos 30, 50, 70, 90 e 110 dias apos plantio (DAP) No geral, foram ajustados modelospolinomiais de segundo grau. O acumulo de massa seca e macronutrientes apresentou taxa inicial baixa, ate cerca de30 DAP, e a partir dai aumentou consideravelmente, ate proximo a maturacao, para entao se estabilizar e decrescer.No geral, o acumulo de massa seca foi maior no nivel tecnologico alto e o acumulo de nutrientes nao diferiu entre osniveis medio e alto, sendo menor para os niveis baixo e muito baixo. Recomendam se 160 100 160 kg ha 1 de N P2O5 K2O para produtividade satisfatoria do sorgo sacarino e manutencao da fertilidade do solo, alem de outras praticas quefavorecam a ciclagem de nutrientes.Palavras chave: Sorghum bicolor (L. Moench, nutricao, fertilizacao, absorcao de nutrientes.DRY MASS AND MACRONUTRIENTS ACCUMULATION OF SWEET SORGHUMIN DIFFERENT LEVELS OF NPK FERTILIZATIONABSTRACT In order to determine the dry mass and macronutrients accumulation along the sweet sorghum BRS 506cycle, at different levels of NPK fertilization, experiments were carried out for two years in Oxisol, under irrigation.The experimental design was a randomized complete block with four replicates. The treatments comprised fourlevels of soil fertility, related to N P2O5K2O fertilization, in kg ha 1: very low (NPK 0 0 0) low (NPK 80 50 80);medium (NPK 160 100 160) and high (NPK 240 150 240) Dry matter accumulation and macronutrients wereevaluated at 30, 50, 70, 90 and 110 days after planting (DAP) In general, polynomial models of the second degree wereadjusted. Dry matter and macronutrient accumulation presented a low initial rate, until 30 DAP, from there it increasedconsiderably until near the maturation, then stabilizing and decreasing. In general, dry mass accumulation was higherat high technological level and nutrient accumulation did not differ between medium and high levels, being lower forlow and very low levels. It is recommended to apply 160 100 160 kg ha 1 of N P2O5 K2O for a satisfactory productivityof sorghum and maintenance of soil fertility, in addition to other practices favoring the nutrients cycling. Sorghum bicolor (L. Moench, nutrition, fertilization, nutrient uptake.
Optimal variable order fractional PID controllers for dynamical systems
Venue: J. Comput. Appl. Math.
Year: 2018

This paper studies the design of variable order fractional proportional integral derivative (VFPID) controllers for linear dynamical systems. For this purpose, a technique to discretize fractional differential equations with variable order operators is proposed. The resulting model and a particle swarm optimization algorithm are used to search for the optimal parameters of the VFPID controllers. Three examples illustrate the performance of the closed loop system under the action of the VFPID and compare it with the results obtained by means of the PID and fractional PID (FPID) Furthermore, time dependent parameters are also tested, showing that the VFPID yields a superior performance.
Mode of delivery, birth weight and the incidence of congenital nasolacrimal duct obstruction.
Venue: International journal of ophthalmology
Year: 2019

To study any possible association of congenital nasolacrimal duct obstruction (CNLDO) with mode of delivery, birth weight and gestational age.  We retrospectively reviewed charts of all patients (n=2591) under the age of 3y who were born between April 2015 and May 2017 and were examined at the Ophthalmology Clinic of Emsey Hospital Istanbul, Turkey. We identified patients (n=105) who were diagnosed as CNLDO. The mode of delivery, birth weight and gestational age along with any adverse event during or after delivery or any other health history were determined. Birth statistical data were obtained from the hospital's medical records database.  Gestational age of babies who were born via cesarean section (CS) was lower than gestational age of babies who were born via normal spontaneous vaginal delivery (NSVD; P=0.002) Babies who were born via CS were found to have 3.75 times higher risk of developing NLDO when compared to babies who were born via NSVD (OR=3.754) CONCLUSION There is a possible association between CS and CNLDO.
The Willingness to Sell Personal Data
Year: 2018

We assess the individual willingness to sell personal data in laboratory experiments. Our experiments are novel in that (i) the experiments are incentivized, (ii) the focus on privacy issues is salient, and (iii) the use of the data is transparent and unambiguous. We find considerable heterogeneity in the data: roughly one in six participants refuse to sell personal data at all and a similar fraction sell their data for EUR2.50 or less our results contrast with those from hypothetical questionnaires. Those willing to sell request, on average, EUR15 for their contact details and EUR19 for their Facebook data. This article is protected by copyright. All rights reserved
SISTEM YAKLASIMI VE SOSYAL EKOLOJIK YAKLASIM CERCEVESINDE OLUSTURULAN KAVRAMSAL MODEL TEMELINDE KRONIK HASTALIGI OLAN COCUKLAR VE AILELERINDE PSIKOLOJIK UYUMUN YORDANMASI
Year: 2008

Cocukluk donemi kronik hastaliklarinin yogun tedavi gerektirmesi, uzundonemli olasi medikal etkilere yol acmasi ve yasamsal tehdit tasimasi,arastirmacilari, bu hastaliklarin travmatik dogasi uzerinde calisma yapmayayonlendirmistir. Kronik hastaligi olan cocuklar ve ailelerinde travma sonrasistres belirtileri ozellikle uzerinde durulan bir konu haline gelmistir. AileSistemleri Kurami ile birlikte, kronik hastaliklarin etkisinin yalnizca cocuklasinirli kalmadigi, tum aile bireylerine yayildigi konusundaki farkindalik artmistir.Cocugun sagligina ya da yasamina yonelik tehditler icermesi nedeniyle agir birkronik hastalik tanisi, hem cocuk hem de ailesinde travma tepkilerine yolacabilmektedir. Bu arastirmanin amaci, ailelerin yasam dongusunu etkileyentravmatik bir yasanti olarak cocukluk donemi kronik hastaliklarinin, cocuklar veanne babalarinin depresyon ve travma sonrasi stres belirtileri ile iliskisinicesitli yordayici degiskenler yonunden incelemektir. Arastirmada travmatikstresi yordayan degiskenlerin secimi onceki kuramlar ve arastirmalaradayanilarak yapilmis ve secilen degiskenler, sistem yaklasimi ve sosyalekolojik yaklasim cercevesinde bir kavramsal model icinde entegreedilmislerdir. Bu model, psikolojik uyumun yordayicilari olarak demografikozellikler, hastaligin ozellikleri (nesnel ve algilanan ozellikler) sosyal ekolojikdegiskenler ve cocugun bireysel ozelliklerini icermektedir. Arastirmaninorneklemi kronik hastaligi olan 125 cocuk/egen ve anne babalarindanolusmaktadir. Veriler, oz bildirim olcekleri araciyla toplanmistir. Depresyon vetravma sonrasi stres belirtileri puanlarinin bagimli degisken olarak ele alindigianaliz hiyerarsik regresyon yontemiyle yapilmistir. Bu yolla kavramsal modeldeyer yordayici degiskenlerin depresyon ve travma sonrasi stres belirtilerinekatkisina bakilmistir. Elde edilen bulgularin, ailelerle calisan psikologlaracisindan onemli dogurgulari olduguna inanilmaktadir. Kronik hastaligi olancocuklar ve ailelerine yonelik psikososyal mudahaleler planlanirken, streskaynaklarinin olabildiginde azaltilmasi ve destekleyici etkenlerin devreyesokulmasi onem tasimaktadir.
Conceptual Design and Demonstration of an Automatic System for Extracting Switching Loss and Creating Data Library of Power Semiconductors
Venue: IEEE Open Journal of Power Electronics
Year: 2020

A switching characterization (SC) test of power semiconductor devices (PSDs) gives us significant insight into the dynamic switching behavior of the device under various operating conditions. A double pulse test (DPT) is a widely used method for evaluating switching performance parameters of a PSD such as its switching losses, switching speed (di/dt, dv/dt) turn on and turn off times etc. The scientific information obtained from analysis of DPT results of a PSD helps in predicting its thermo electric performance in a target power electronic converter. With conventional DPT setups, it is a time consuming and error prone process to manually conduct these tests under several permutations of test parameters and thereafter analyze the experimental data manually. This work presents a newly developed automated SC test system, which can run tests one after another, once the desired test parameters are entered in a graphic user interface. The test control system also enables recording and systematic processing of the experimental switching data to deliver usable characterization results. The automatic, compact and modular design allows the proposed SC test platform to stand out from the conventional DPT setups. The design principles are experimentally verified by implementing a hardware prototype capable of testing PSDs up to 1000 V, 60 A, 250 degC.
Central venous blood oxygen saturation monitoring in patients with chronic pulmonary arterial hypertension treated with continuous IV epoprostenol: correlation with measurements of hemodynamics and plasma brain natriuretic peptide levels.
Venue: Chest
Year: 2007

IV epoprostenol is a highly effective therapy for pulmonary arterial hypertension (PAH) However, monitoring the efficacy and adjusting the dose of epoprostenol often requires serial invasive hemodynamic measurements. This study investigated whether superior vena cava (SVC) oxygen saturation measured from the indwelling catheter and brain natriuretic peptide (BNP) level would predict right heart catheterization markers associated with lower survival rates (right atrial pressure [RAP] 10 mm Hg; pulmonary artery [PA] oxygen saturation, 62% in epoprostenol treated patients with PAH.  Twenty seven epoprostenol treated PAH patients had a BNP level and SVC oxygen saturation measured from their indwelling central venous catheters. The results were compared with cardiac catheterization results.  SVC oxygen saturation and BNP level both showed significant correlation with hemodynamic variables. BNP level correlated best with RAP (r 0.66; p 0.001) while SVC oxygen saturation correlated most closely with PA oxygen saturation (r 0.91; p 0.001) All patients with a BNP level of >or= 117 pg/mL had an elevated RAP (specificity, 100% [defined as a RAP of 10 mm Hg] but sensitivity was only 65% An SVC oxygen saturation of 64% showed a sensitivity of 89% and a specificity of 78% in predicting a PA oxygen saturation of 62% CONCLUSIONS SVC oxygen saturation and BNP level predict hemodynamics associated with lower survival rates and may be useful as "noninvasive" markers of prognosis in epoprostenol treated PAH patients. BNP levels have a lower sensitivity relative to specificity, and a normal BNP level did not exclude a high RAP or low PA oxygen saturation.
Testing the Security ESP32 Internet of Things Devices
Venue: 2019 IEEE International Scientific Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T)
Year: 2019

The physical model of a handmade IoT system that includes device for measuring temperature based on ESP32, WiFi home network and web interface was proposed and implemented upon laboratory scale. The result of the experiment based on this model to attempt to gain unauthorized access to the transmitted data was successful. Attack scenario was formulated and consist of four stages: gaining unauthorized access to a network, network traffic interception and analysis, create fake ESP32 client and disconnecting original ESP32 from a server. It is shown that the attacker, who has the basic knowledge and skills in working with common wireless network hacking tools and a basic knowledge of ESP32 and ESP32 programming skills can access the system and send fake information to the web interface. To reduce the probability of the proposed scenario it is recommended to use TCP instead of UDP.
Semantic foundations of intermediate program representations
Year: 2012

An end to end guarantee of software correctness by formal verification must consider two sources of bugs. First, the verification tool must be correct. Second, programs are often verified at the source level, before being compiled. Hence, compilers should also be trustworthy. Verifiers and compilers' complexity is increasing. To simplify code analysis and manipulation, these tools rely on intermediate representations (IR) of programs, that provide structural and semantic properties. This thesis gives a formal, semantic account on IRs, so that they can also be leveraged in the formal proof of such tools. We first study a register based IR of Java bytecode used in compilers and verifiers. We specify the IR generation by a semantic theorem stating what the transformation preserves, e.g. object initialization or exceptions, but also what it modifies and how, e.g. object allocation. We implement this IR in Sawja, a Java static analysis toolbench. Then, we study the Static Single Assignment (SSA) form, an IR widely used in modern compilers and verifiers. We implement and prove in Coq an SSA middle end for the CompCert C compiler. For the proof of SSA optimizations, we identify a key semantic property of SSA, allowing for equational reasoning. Finally, we study the semantics of concurrent Java IRs. Due to instruction reorderings performed by the compiler and the hardware, the current definition of the Java Memory Model (JMM) is complex, and unfortunately formally flawed. Targetting x86 architectures, we identify a subset of the JMM that is intuitive and tractable in formal proofs. We characterize the reorderings it allows, and factor out a proof common to the IRs of a compiler.
Economic analysis and life cycle impact assessment of municipal solid waste (MSW) disposal: A case study of Mumbai, India
Venue: Waste management research the journal of the International Solid Wastes and Public Cleansing Association, ISWA
Year: 2018

Municipal solid waste (MSW) management is a major concern in Indian cities. This work rigorously assesses the relative costs and the environmental and health benefits of alternative MSW management methods. Management of MSW over the next 20 years for the city of Greater Mumbai was considered. A generic model was developed to determine the costs for (i) dumping on open ground, (ii) sanitary landfill without leachate treatment, (iii) landfilling with leachate treatment and (iv) regional composting and landfilling. LandGEM was used to quantify the gaseous emissions from landfill, while emissions from leachate and composting were taken from literature. The life cycle impact model of one tonne of MSW was developed using OpenLCA software and the International Reference Life Cycle Data System (ILCD) 2011 method was used for impact assessment. The cost of disposal of one tonne of waste was found to be INR344 (US$5.17) INR741 (US$11.13) and INR1367 (US$20.53) respectively, for the first three scenarios. As compared to open dumping, landfill gas flaring reduced the global warming potential by 32% and leachate treatment reduced freshwater ecotoxicity and total human toxicity marginally, by 20% and 60% respectively. Composting landfilling was the most preferred option, with a cost of INR531 tonne 1 (US$7.97) leading to a reduction in global warming potential by 79% and a slight decrease in freshwater ecotoxicity by 64% Further, emissions due to accidental fires were also quantified. The study provides valuable insights for the selection of MSW management options for large metropolitan cities in developing countries.
Deep Transfer Reinforcement Learning for Text Summarization
Venue: SDM
Year: 2019

Deep neural networks are data hungry models and thus face difficulties when attempting to train on small text datasets. Transfer learning is a potential solution but their effectiveness in the text domain is not as explored as in areas such as image analysis. In this paper, we study the problem of transfer learning for text summarization and discuss why existing state of the art models fail to generalize well on other (unseen) datasets. We propose a reinforcement learning framework based on a self critic policy gradient approach which achieves good generalization and state of the art results on a variety of datasets. Through an extensive set of experiments, we also show the ability of our proposed framework to fine tune the text summarization model using only a few training samples. To the best of our knowledge, this is the first work that studies transfer learning in text summarization and provides a generic solution that works well on unseen data.
E LEARNING IN ONLINE EDUCATION GAME FOR KIDS
Year: 2020

This study aims to identify e learning as a branding of kids educational online games. Descriptive method was used to present a complete overview regarding the situation related to variables examined. The results of this research are to recognize the development of branding and the benefit provided by e learning in the application of educational games for kids. Discussing the product branding of e learning games for kids was conducted in this research.
A three dimensional localisation algorithm for underwater acoustic sensor networks
Venue: Int. J. Comput. Vis. Robotics
Year: 2011

Simultaneous localisation mapping (SLAM) is a scheme for location aware technology that can be applied in vehicles or autonomous robots in outdoor environments. The SLAM scheme helps in the localisation of AUVs (autonomous underwater vehicles) used in deep ocean exploration. In this paper, we propose a 3D SLAM scheme that utilises an extended Kalman filter (EKF) based on landmarks in underwater sensor networks (UWSNs) We obtained our research results by the following three steps. First, we designed and implemented the AUV model using kinematics. Second, we analysed the EKF for use in SLAM and derived an optimisation model of the EKF using information on a moving path and landmarks in an underwater environment. Finally, we implemented the map through the derived EKF, as applied to SLAM in UWSNs. We have thoroughly compared the value of a pre defined path to the predicted value and confirmed the average position error in terms of AUV speed, number of landmarks, and the sampling time. Through Matlab simulations, we have shown that the proposed scheme achieves a smaller position error under a change in vehicle speed and number of landmarks. We have also confirmed the minimum performance of the 3D SLAM technique for use in underwater applications.
The influence of sleep and sleep loss upon food intake and metabolism
Venue: Nutrition Research Reviews
Year: 2007

The present review investigates the role of sleep and its alteration in triggering metabolic disorders. The reduction of the amount of time sleeping has become an endemic condition in modern society and the current literature has found important associations between sleep loss and alterations in nutritional and metabolic aspects. Studies suggest that individuals who sleep less have a higher probability of becoming obese. It can be related to the increase of ghrelin and decrease of leptin levels, generating an increase of appetite and hunger. Sleep loss has been closely associated with problems in glucose metabolism and a higher risk for the development of insulin resistance and diabetes, and this disturbance may reflect decreased efficacy of the negative feedback regulation of the hypothalamic pituitary adrenal axis. The period of sleep is also associated with an increase of blood lipid concentrations, which can be intensified under conditions of reduced sleep time, leading to disorders in fat metabolism. Based on a review of the literature, we conclude that sleep loss represents an important risk factor for weight gain, insulin resistance, type 2 diabetes and dyslipidaemia. Therefore, an adequate sleep pattern is fundamental for the nutritional balance of the body and should be encouraged by professionals in the area.
Financial knowledge and portfolio complexity in Singapore
Year: 2020

Financial literacy in Singapore has not been analyzed in much detail, despite the fact that this is one of the world's most rapidly aging nations. Using the Singapore Life Panel(r) we explore older Singaporeans' levels of financial knowledge and compare them to those observed in the United States. We assess portfolio complexity for these older households, to examine how financial literacy is related to outcomes of interest. We show that older Singaporeans' levels of financial literacy are comparable overall to those in the United States, even though older Singaporeans score slightly lower on some dimensions (knowledge of interest and inflation) and slightly higher on their knowledge of risk diversification. We document that women are less informed than men about stock diversification, and educated people tend to be more financially knowledgeable than their less educated counterparts. We also find that financial literacy is positively associated with respondents having both more wealth and more diversified and complex portfolios.
Monitoring of near surface gas geochemistry at the Weyburn, Canada, CO2 EOR site, 2001 2011
Year: 2013

Soil gas and CO2 flux measurements were conducted above and in the vicinity of the Weyburn oil field during the period 2001 2005 and in 2011 to determine baseline values and distributions, and to monitor for surface leaks, above this well established and intensely studied CO2 Enhanced Oil Recovery (CO2 EOR) project in southern Saskatchewan, Canada. Multiple sites were studied which had sample spacing that ranged from 25 to 200 m, including a 360 point regional grid above the CO2 injection field, a background site off the oil field, and a new site where a landowner claimed CO2 leakage on his property from the storage reservoir. Typically 400 500 points were sampled during each of the seven field campaigns and analysed for a wide range of components, thus yielding a large and varied database collected during different seasons and years. Results show no sign of leakage of the injected CO2. Spatial and seasonal trends and measured values from discrete sampling of soil gas CO2, O2 Ar, N2, d13C CO2, He, Rn, and CH4, from continuous monitoring of soil gas CO2 and Rn, and from discrete sampling of CO2 flux can all be explained by the interplay between near surface biochemical processes, seasonal environmental conditions, and soil properties. Other light hydrocarbon gases, like C2H4 and C2H6, were generally near or below the instrument detection limit. Lessons learned during the research are described to help improve future near surface gas geochemistry surveys for site assessment, baseline definition, and leakage monitoring at active CCS sites.