nils-herrmann/clean_scirepeval huggingface dataset:
Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism
Venue: Nature communications
Year: 2020

Through advanced mechanistic modeling and the generation of large high quality datasets, machine learning is becoming an integral part of understanding and engineering living systems. Here we show that mechanistic and machine learning models can be combined to enable accurate genotype to phenotype predictions. We use a genome scale model to pinpoint engineering targets, efficient library construction of metabolic pathway designs, and high throughput biosensor enabled screening for training diverse machine learning algorithms. From a single data generation cycle, this enables successful forward engineering of complex aromatic amino acid metabolism in yeast, with the best machine learning guided design recommendations improving tryptophan titer and productivity by up to 74 and 43% respectively, compared to the best designs used for algorithm training. Thus, this study highlights the power of combining mechanistic and machine learning models to effectively direct metabolic engineering efforts.
Slice Finder: Automated Data Slicing for Model Validation
Venue: 2019 IEEE 35th International Conference on Data Engineering (ICDE)
Year: 2019

As machine learning (ML) systems become democratized, it becomes increasingly important to help users easily debug their models. However, current data tools are still primitive when it comes to helping users trace model performance problems all the way to the data. We focus on the particular problem of slicing data to identify subsets of the validation data where the model performs poorly. This is an important problem in model validation because the overall model performance can fail to reflect that of the smaller subsets, and slicing allows users to analyze the model performance on a more granular level. Unlike general techniques (e.g. clustering) that can find arbitrary slices, our goal is to find interpretable slices (which are easier to take action compared to arbitrary subsets) that are large and problematic. We propose Slice Finder, which is an interactive framework for identifying such slices using statistical techniques. Applications include diagnosing model fairness and fraud detection, where identifying slices that are interpretable to humans is crucial.
A Development on the Cultural Products Using Dinosaur Characters
Year: 2008

This research aims to develop cultural products for professional sales after producing creative products utilizing dinosaur characters, which are the representative exhibited item of dinosaur centered museum. There are seven museums in Korea whose theme is dinosaur. There are three dinosaur museums among them, Goseong Dinosaur Museum at Kyungnam, Mokpo Natural History Museum, and Seodaemun Museum of Natural History. While inspecting cultural products within the museum shops of these three museums, general products occupy more than 80% of all the products rather than products related to dinosaurs, and has a problem that most products are decorative ones. This resulted from that enterprises supplying these products are not professional ones and are irrelevent to cultural industry; as result, purpose of conveying culture through products is lost. This research develops dinosaur characters utilizing computer 3D techniques in order to imbue unique characteristics to dinosaur museums and informing cultural speciality of our country. In addition, this research presented design method of cultural products by grafting traditional symbols onto these characters, and actually produced 11 items of 5 kinds: toys(dolls) clothes(T shirts, pajamas, socks) stationery(notebooks, memo) accessaries (bags, umbrellas, handkerchief) and others(cups) On the items above, dinosaur characters are variously utilized in form of printing, embroidery, and stickers by using computer 3D technique. A cultural product is a tangible form which could show variety of cultural characteristics of our nation that could spread the culture through the consumers, and such type of purchasing could increase values of cultural industry by creating economic profits; such points are the significance of this study.
Coumarin containing hybrids and their anticancer activities.
Venue: European journal of medicinal chemistry
Year: 2019

Cancer is the second leading cause of death worldwide, and it results in around 9 million deaths annually. The anticancer agents play an intriguing role in the treatment of cancers, while the severe anticancer scenario and the emergence of drug resistant especially multidrug resistant cancers create a huge demand for novel anticancer drugs with different mechanisms of action. The coumarin scaffold is ubiquitous in nature and is a highly privileged motif for the development of novel drugs due to its biodiversity and versatility. Coumarin derivatives can exert diverse antiproliferative mechanisms, and some of them such as Irosustat are under clinical trials for the treatment of various cancers, revealing their potential as putative anticancer drugs. Hybridization of coumarin moiety with other anticancer pharmacophores is a promising strategy to reduce side effects, overcome the drug resistance, and may provide valuable therapeutic intervention for the treatment of cancers. Thus, coumarin containing hybrids occupy an important position in the development of novel anticancer agents. This review aims to summarize the recent advances made towards the development of coumarin containing hybrids as potential anticancer agents, covering articles published between 2015 and 2019, and the structure activity relationship together with mechanisms of action are also discussed.
Field Performance of Heat Pump Water Heaters in the Northeast
Year: 2016

Heat pump water heaters (HPWHs) are finally entering the mainstream residential water heater market. Potential catalysts are increased consumer demand for higher energy efficiency electric water heating and a new Federal water heating standard that effectively mandates use of HPWHs for electric storage water heaters with nominal capacities greater than 55 gallons. When compared to electric resistance water heating, the energy and cost savings potential of HPWHs is tremendous. Converting all electric resistance water heaters to HPWHs could save American consumers 7.8 billion dollars annually $182 per household) in water heating operating costs and cut annual residential source energy consumption for water heating by 0.70 quads. Steven Winter Associates, Inc. embarked on one of the first in situ studies of these newly released HPWH products through a partnership with two sponsoring electric utility companies, National Grid and NSTAR, and one sponsoring energy efficiency service program administrator, Cape Light Compact. Recent laboratory studies have measured performance of HPWHs under various operating conditions, but publically available field studies have not been as available. This evaluation attempts to provide publicly available field data on new HPWHs by monitoring the performance of three recently released products (General Electric GeoSpring(TM) A.O. Smith Voltex(R) and Stiebelmore Eltron Accelera(R) 300) Fourteen HPWHs were installed in Massachusetts and Rhode Island and monitored for over a year. Of the 14 units, ten were General Electric models (50 gallon units) two were Stiebel Eltron models (80 gallon units) and two were A.O. Smith models (one 60 gallon and one 80 gallon unit) less
Optimal shape and position of a thick deflector plate in front of a hydraulic Savonius turbine
Year: 2019

This paper describes an optimization procedure for the shape and position of a thick deflector plate in front of a hydraulic Savonius turbine to improve the output power of the system for a constant frontal area. Seven geometrical parameters are taken into account during the optimization process. The simulation code Star CCM+ is used to investigate the flow field around numerous structures to obtain the optimal configuration. This code is driven by OPAL+ (in house code optimization) During the optimization procedure, maximizing the average power coefficient C p is the main objective function. The optimal configuration improves the C p by almost 11% for a tip speed ratio l 1.1 in comparison with the traditional Savonius turbine. The hydrodynamic features of the turbine with the optimal deflector plate are discussed in detail and compared with the standard turbine, explaining that the increase in the turbine performance was obtained by an improved pressure distribution and enhanced flow configuration around the turbine blades. The performance of the turbine with optimal deflector plate is finally compared with the standard design for the whole operation range by varying the tip speed ratio. This comparison reveals that the power coefficient C p is increased by nearly 15% for l 1.2 Finally, it has been checked that the turbine with the deflector plate is still self starting. The obtained design should not only be very useful to considerably improve the power of the turbine at a constant frontal area but also effective to protect the returning blade from collisions with suspended objects thanks to the deflector plate.
Physiological Variability Analysis Using Pre existing Data Mining Techniques
Year: 2016

To analyse the efficiency and performance of pre existing data mining techniques for development of novel predictor model for mining the response shown by physiological parameters. The medicines here being tested are physiological variability affecting medicines.  The data has been have been analysed using WEKA (version 3.7) tool for the following techniques Classification Via Regression, Randomized filtered classifier, IBk and RandomForest technique.  Usage pre existing data mining techniques for development of novel prediction models for mining physiological variability data. An overall comparison of various techniques has also been made on the basis of various performance parameters like sensitivity, specificity, precision F measure. It has been found that Randomized Filtered classifier is the best suitable technique amongst all the techniques for such a use. Applications: it can be used for mining the physiological variability responses, thereby helping to check the effectiveness of medicines.
Educacion civica en la cultura digital. Una aproximacion critica a la socializacion en red
Year: 2011

Aprovechando los espacios abiertos por la nueva reforma educativa espanola, es decisivo que tanto el legislador como los profesionales de la educacion asuman en serio la importancia de educar no solo en los usos tecnicos y eficientes de las tecnologias comunicativas; se impone, asimismo, la educacion en un buen uso de las mismas, en un uso civico y favorecedor de los procesos participativos y deliberativos que son el sustento de una democracia viva. La aspiracion clasica de la democracia favorecer el igual derecho de todos al uso de la palabra* ve en la explosion de la cultura digital una oportunidad para afianzarse, si bien es cierto que un uso esclerotizado y altamente selectivo de la tecnologia comunicativa puede contribuir al efecto contrario: a una socializacion reducida mediante la creacion de nichos digitales, en donde el derecho a decir se desvincula de la responsabilidad de escuchar lo diferente, de analizar critica y ponderadamente lo que procede del espacio publico.
Analyzing Human Factors for an Effective Information Security Management System
Venue: Int. J. Secur. Softw. Eng.
Year: 2013

Managing security is essential for organizations doing business in a globally networked environment and for organizations that are at the same time seeking to achieve their missions and goals. However, numerous technical advancements do not always produce a more secure environment. All kinds of human factors can deeply affect the management of security in an organizational context. Therefore, security is not solely a technical problem; rather, the authors need to understand human factors, which need adequate attention to achieve an effective information security management system practice. This paper identifies direct and indirect human factors that have impact on information security. These factors were analyzed through the study of two security incidents of the UK's financial organizations using the SWOT (Strength, Weaknesses, Opportunities, and Threats) technique. The study's results show that human factors are the main causes for these security incidents. Factors such as training, awareness, and security culture influence organizational strength and opportunity relating to information security. People's irrational behavior and errors are the main weaknesses highlighted in security incidents, which pose threats such as poor reputation and high costs. Reza Alavi University of East London, UK Shareeful Islam University of East London, UK Hamid Jahankhani University of East London, UK Ameer Al Nemrat University of East London, UK
Comparative Analysis of Phytochemical Composition of Four Selected Tropical Medicinal Plants Namely: Ocimum gratissimum, Piper guineense, Gongronema latifolium and Vernonia amygdalina
Venue: Journal of Complementary and Alternative Medical Research
Year: 2019

The aim of the study was to carry out a comparative analysis of the phytochemical composition of the leaves of four selected tropical medicinal plants namely: Ocimum gratissimum, Piper guineense, Gongronema latifolium and Vernonia amygdalina.  The phytochemicals in the plant leaves were extracted by cold maceration in ethanol and subjected to both qualitative and quantitative analysis of the phytochemicals.  The qualitative and quantitative analysis revealed the presence of the bioactive compounds alkaloids, Saponins, flavonoids, steroids, glycosides, terpenoids, polyphenols, specific cardiac glycosides, tannins, phytates and reducing compound in the leaves of each plant at varying quantities. Resins were only detected in O. gratissimum. From the quantitative analysis, Gongronema latifolium had the highest percentage content of alkaloids, glycosides, saponins, tannins and reducing sugars. Ocimum gratissimum had the highest flavonoid content.  Taken together, G. latifolium on balance had a higher phytochemical content than the other three plants and thus should be more versatile in the treatment of a whole range of diseases. This was followed by V. amygdalina, O. gratissimum and P. guineense in that order. The fact that most of these phytochemicals have antioxidant activity may be responsible for their antidiabetic activities and use in treatment of other free radical prone diseases.
The Effect of Post Fire Disturbances on a Seasonally Thawed Layer in the Permafrost Larch Forests of Central Siberia
Year: 2020

We examined and simulated the consequences of the degradation of the litter and the moss lichen layer after fire impact, which could affect the seasonal temperature of the soil and the depth of the seasonally thawed layer (STL) in the permafrost zone. According to the analysis of satellite imagery for 2000 to 2019, the fire disturbed area in the region of interest amounted to 20% The main aims of the study included quantitative evaluation of the variation range of summer temperature anomalies at fire damaged plots, summarizing the statistical norm of the STL depending on natural conditions, and numerical simulation of the response of the STL. Using Terra and Aqua/MODIS imagery, we analyzed surface temperature (in bands of l 10.780 11.280 and 11.770 12.270 mm) coupled with the normalized difference vegetation index (NDVI) for non disturbed and fire damaged sites under the same natural conditions of larch forests in Central Siberia. Heat transfer, freezing and thawing processes were numerically simulated for two extreme cases of soil conditions: dry soil and water saturated soil. The model was also applied to soil with non homogeneous water content. As input parameters, we used data on the properties of cryogenic soils collected in larch forests (Larix gmelinii) in the flat mountainous taiga region of the Evenkia (Central Siberia) For post fire plots, surface temperature anomalies observed during summer months remained significant for more than 15 20 years after fire impact, while the NDVI values were restored to the statistical norm within 7 10 years of the fire. According to the results of numerical simulation, the thickness of the STL could show a 30 50% increase compared to the statistical norm. In the first approximation, we showed the annual soil temperature dynamics at various depths in disturbed and non disturbed plots.
Distributed low complexity fault tolerant consensus tracking of switched uncertain nonlinear pure feedback multi agent systems under asynchronous switching
Venue: Nonlinear Analysis: Hybrid Systems
Year: 2019

This paper addresses a distributed low complexity design problem for ensuring preassigned fault tolerant consensus tracking quality of uncertain switched nonlinear pure feedback multi agent systems under arbitrary and asynchronous switching. Switched non affine nonlinearities and unexpected nonlinear and actuator faults of each system are assumed to be unknown. Compared with existing results in the literature, the main contribution of this paper is to provide a simplified robust control strategy to deal with asynchronously switched nonlinearities and faults among systems in the consensus tracking field. Using nonlinearly transformed error surfaces and the common Lyapunov function method, a common robust consensus tracking design strategy is established to ensure the preassigned fault tolerant consensus tracking performance and the system reliability on the switched faults, without using any adaptive fault compensation techniques based on neural networks or fuzzy logic systems. It is shown that the distributed consensus tracking errors remain within preselected bounds even at switching and fault occurrence instants and finally converge to a preselected neighborhood of the origin.
Efficiency Comparison of Inductor Capacitor and Resonant Based Converters Fully Integrated in CMOS Technology
Venue: IEEE Journal on Emerging and Selected Topics in Circuits and Systems
Year: 2015

The full integration of DC DC converters offers great promise for dramatic reduction in power consumption and the number of board level components in complex systems on chip. Some papers compare the numerous published on chip and on die converter structures, but there is the need for an approach to accurately compare the main basic DC DC conversion topologies. Therefore, this paper presents a method to compare the efficiencies of CMOS integrated capacitive inductive and resonant based switching converters. The loss mechanism of each structure in hard switching conditions is detailed and the analytical equations of the power loss and output voltage are given as a function of few CMOS technology parameters. The resulting models can be used to accurately predict converter efficiency in the early design phase, to compare the basic structure in particular the technology node or to orient the passive choice. The proposed method is then applied to design, optimize and compare fully integrated power delivery requirements on a 1 mm2 on die area in 65 nm CMOS technology over three decades of power density. The results also underline the high efficiency of the promising resonant based converter.
Recommendations on recognition and response to child abuse and neglect in the Indian setting
Venue: Indian pediatrics
Year: 2010

JustificationPediatricians are usually the first point of contact of children with the health system. Studies worldwide have shown that there is insufficient knowledge about child abuse recognition and management among health workers. Presently no uniform guidelines exist in India for pediatricians regarding the appropriate response to child abuse.ProcessAs part of the Child Rights and Protection Programme (CRPP) under IAP VISION 2007 of Indian Academy of Pediatrics, a 'Training of Trainers (TOT) Workshop on Child Rights and Protection' was held in Mumbai in January 2007. It was attended by participants from all over the country. The workshop recommended 'developing country specific teaching and training material' A Task force of IAP CRPP was formed and it developed a module for 'Training of Trainers Workshops for Pediatricians' A National Consultative Meet was held in October, 2007 at New Delhi, where the program was discussed and ratified.ObjectivesTo train pediatricians to: recognize and respond to child abuse; engage in a multi disciplinary networking mode to deal with child abuse; and, document, record and report instances of child abuse.RecommendationsGuidelines for recognition and management of child abuse are presented. All pediatricians should assess suspected harm with the same thoroughness and attention as they would do with a life threatening condition. Poor management after disclosure can increase psychological damage. Pediatrician should believe, support, reassure, treat and ensure rehabilitation of victims of child abuse, keeping the best interest of the child as the primary goal.
A Simple Congestion Avoidance mechanism for OpenDaylight (ODL) Multipath TCP (MPTCP) Network structure in Software Defined Data Center (SDDC)
Venue: 2019 5th International Conference on Advanced Computing Communication Systems (ICACCS)
Year: 2019

Congestion is a major factor which affects the data center network traffic. Major applications of data center producing huge data traffic are social networks, online shopping portals, online banking portals, mobile application data, weather forecasting applications, Internet of Things applications and so on. Handling such large amount of data is a difficult task for data center architectures and mechanisms and always lead to congestion. The congestion control mechanisms already proposed in existing research works for Software Defined Data Centers lack behind in terms of scalability and throughput due to increase in data center traffic and centralized controller environment. So, in this paper, we are proposing a Simple Congestion Avoidance mechanism for Multipath Transmission Control Protocol traffic using Random Early Detection Algorithm to overcome the limitation of huge packet loss for a specific flow and detection of congested links in the early stage. In our proposed work, path generation among the particular source and destination has been carried out as Multipath Transmission Control Protocol traffic which can prevent congestion state due to the generation of sub flows between two hosts. Then, we bring up Random Early Detection mechanism as a congestion avoidance strategy to minimize overloaded links, link delay and to enhance throughput during packet transmission. This implementation is carried out in the network simulator, Mininet with OpenDaylight controller setup which runs on the top of Jellyfish data center topology. We finally compare the performance of proposed work with an existing congestion avoidance mechanism and show that our implementation offers better throughput by considering the link load, capacity for different node ranges.
Opinion Mining Using Live Twitter Data
Venue: 2019 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC)
Year: 2019

Opinion mining and extracting Sentiments of people is the need of today. This is the era of Big data. Because of social networking sites, it's easy to analyze sentiments of people. Sentiment analysis is a technique to extract opinions of people regarding any product, issue or personality. This paper is about extracting live twitter data regarding any topic and converting it into structured form from un structured one. Opinions are extracted from the text data and polarity is assigned against each tweet. Polarity of data can be positive, negative or neutral. Most recent and popular opinions can be extracted. It is useful for both market analyzers as well as customers. Customers get to know honest reviews about any product and companies can know their customer's interests. Furthermore, predictions are also given based on the classified data.