nils-herrmann/clean_scirepeval huggingface dataset:
Robust Distributed Model Predictive Control of Constrained Continuous Time Nonlinear Systems: A Robustness Constraint Approach
Venue: IEEE Transactions on Automatic Control
Year: 2014

Due to the ubiquitous existence of external disturbances, the design of distributed control algorithms with robustness is an urgent demand for multi agent system applications. This technical note investigates the robust distributed model predictive control (MPC) problem for a group of nonlinear agents (subsystems) subject to control input constraints and external disturbances. A robustness constraint is proposed to handle the external disturbances. Based on this, a novel robust distributed MPC scheme is designed for the overall agent system. Furthermore, the feasibility of the robust distributed MPC scheme and the robust stability of the overall agent system are analyzed, respectively. The conditions under which the proposed MPC is feasible and the overall agent system is robustly stabilized are established. Finally, the application of the robust distributed MPC to a group of cart damper spring systems verifies the theoretical results.
A Study on Neutrosophic Cubic Graphs with Real Life Applications in Industries
Venue: Symmetry
Year: 2018

Neutrosophic cubic sets are the more generalized tool by which one can handle imprecise information in a more effective way as compared to fuzzy sets and all other versions of fuzzy sets. Neutrosophic cubic sets have the more flexibility, precision and compatibility to the system as compared to previous existing fuzzy models. On the other hand the graphs represent a problem physically in the form of diagrams, matrices etc. which is very easy to understand and handle. So the authors applied the Neutrosophic cubic sets to graph theory in order to develop a more general approach where they can model imprecise information through graphs. We develop this model by introducing the idea of neutrosophic cubic graphs and introduce many fundamental binary operations like cartesian product, composition, union, join of neutrosophic cubic graphs, degree and order of neutrosophic cubic graphs and some results related with neutrosophic cubic graphs. One of very important futures of two neutrosophic cubic sets is the R union that R union of two neutrosophic cubic sets is again a neutrosophic cubic set, but here in our case we observe that R union of two neutrosophic cubic graphs need not be a neutrosophic cubic graph. Since the purpose of this new model is to capture the uncertainty, so we provide applications in industries to test the applicability of our defined model based on present time and future prediction which is the main advantage of neutrosophic cubic sets.
The direct and indirect effects of infrastructure on firm productivity: Evidence from Chinese manufacturing
Year: 2017

This paper attempts to distinguish and estimate the direct and indirect effects of infrastructure on firm productivity. The latter arises from the infrastructure agglomeration link and has been largely overlooked in the literature on infrastructure. An analytical framework is then proposed to estimate both effects. Finally, empirical results are obtained using large scale firm level survey data from China. Major findings include: (1) all the three kinds of infrastructure road, telecommunication servers and cable are found to directly promote firm productivity; (2) they also exert a positive indirect effect on firm productivity through the agglomeration channel; and (3) the empirical results are robust to different agglomeration indicators and different subsamples.
Probabilistic logic metric and its application to approximate reasoning
Year: 2017

The concepts of L probabilistic truth degree and L uncertainty degree are introduced in the paper. The conclusion that L probabilistic truth degree satisfies Kolmogorov axioms is reached by discussing some of their properties. The paper proves that the L uncertainty degree of conclusion is less than or equal to the sum of the product of L uncertainty degree of each premise and its essentialness degree in a formal inference. The L similarity degree and probabilistic logic pseudo metric between formulas are introduced by using the L uncertainty degree of formulas, and it indicates that there are not isolated points in the probabilistic logic pseudo metric space under some conditions. As an application, proposals of two different approximate reasoning models in the probabilistic logic pseudo metric space are raised as well as some examples to illustrate the practical application of these approximate reasoning models.
On Causes of the Overtranslation and the Undertranslation
Year: 2012

Translators are often disturbed by the two inaccurate translational types,overtranslation and undertranslation.Therefore,it is significant to do some research on the two types.At a different angle of the geographical position and culture,this paper investigates the causes of the two phenomena.The different geographical position contributes to certain lexical gap,which makes no equivalent words between English and Chinese.Furthermore,the paper emphasizes the different value and morality and belief in the east and the west.In a word,all these aspects result in the phenomena of overtranslation and undertranslation.The paper tries to come up with some translational strategies and skills to avoid the inappropriate translation.
Cross Domain Weakly Supervised Object Detection Through Progressive Domain Adaptation
Venue: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Year: 2018

Can we detect common objects in a variety of image domains without instance level annotations? In this paper, we present a framework for a novel task, cross domain weakly supervised object detection, which addresses this question. For this paper, we have access to images with instance level annotations in a source domain (e.g. natural image) and images with image level annotations in a target domain (e.g. watercolor) In addition, the classes to be detected in the target domain are all or a subset of those in the source domain. Starting from a fully supervised object detector, which is pre trained on the source domain, we propose a two step progressive domain adaptation technique by fine tuning the detector on two types of artificially and automatically generated samples. We test our methods on our newly collected datasets1 containing three image domains, and achieve an improvement of approximately 5 to 20 percentage points in terms of mean average precision (mAP) compared to the best performing baselines.
Microeconomic Impact of Monetary Integration The Case of Postal Services
Year: 2017

The objective of this paper is to present potential threats and opportunities resulting from monetary integration to postal services rendered by national post operators. National post operators are subject to many regulations and requirements that make the market in which they operate far from perfect competition. National operators are granted a legal monopoly in many business areas. This is associated with many benefits. The EU policy, however, is heading toward sequential liberalization of the postal services market and this will be achieved in coming years. This liberalization will result in national post operators being subject to external competition from other EU member states. They are already competing with some international commercial logistics/courier service companies, but there will be a substantial change in the severity of competition in this market if the national post operators do not create an oligopoly, setting prices or market share. This paper develops a formal theoretical framework to show how an oligopoly in the EMU can efficiently substitute the monopoly on national postal services markets found today. The stylized fact advocated by the authors is that monetary integration facilitates an oligopoly structure rather than other market structures to replace the legal monopoly. Despite the hypothesis that removing the last barriers for economic integration by introducing a common currency facilitates monopolization, the specific features of postal services undermine it. This paper offers an alternative that could apply to other industries subject to similar regulations, especially those that were historically public sectors in the EU that
Ligand fishing of anti neurodegenerative components from Lonicera japonica using magnetic nanoparticles immobilised with monoamine oxidase B.
Venue: Journal of separation science
Year: 2019

In this work, monoamine oxidase B was immobilised onto magnetic nanoparticles to prepare a new type of affinity solid phase extraction adsorbent, which was used to extract the possible anti neurodegenerative components from the Lonicera japonica flower extracts. Coupled with high performance liquid chromatography with mass spectrometry, two monoamine oxidase B ligands were fished out and identified as isochlorogenic acid A and isochlorogenic acid C, which were found to be inhibitors of the enzyme for the first time, with similar half maximal inhibitory concentration values of 29.05 0.49 and 29.77 1.03 mM, respectively. Furthermore, equilibrium dialysis dissociation assay of enzyme inhibitor complex showed that both compounds have reversible binding patterns to monoamine oxidase B, and kinetic analysis demonstrated that they were mixed type inhibitors for monoamine oxidase B, with Ki and Kis values of 9.55 and 37.24 mM for isochlorogenic acid A, 9.53 and 35.50 mM for isochlorogenic acid C, respectively. The results indicated that isochlorogenic acid A and isochlorogenic acid C were the major active components responsible for the anti degenerative activity of the flowers of L. japonica, while magnetic nanoparticles immobilised monoamine oxidase B could serve as an efficient solid phase extraction adsorbent to specifically extract monoamine oxidase B inhibitors from complex herbal extracts.
Modeling, stability and walking pattern generators of biped robots: a review
Venue: Robotica
Year: 2013

Biped robots have gained much attention for decades. A variety of researches have been conducted to make them able to assist or even substitute for humans in performing special tasks. In addition, studying biped robots is important in order to understand human locomotion and to develop and improve control strategies for prosthetic and orthotic limbs. This paper discusses the main challenges encountered in the design of biped robots, such as modeling, stability and their walking patterns. The subject is difficult to deal with because the biped mechanism intervenes with mechanics, control, electronics and artificial intelligence. In this paper, we collect and introduce a systematic discussion of modeling, walking pattern generators and stability for a biped robot.
Ophthalmic Thelazia callipaeda infections: first feline and new canine imported cases in Germany
Venue: Parasitology Research
Year: 2020

The first case of feline ocular Thelazia callipaeda infection and two new canine imported infections in West Germany are here described. The three animals had a history of recent travel to/from other countries. The young adult cat imported from Spain presented an intermittent unilateral ocular discharge. During in depth ophthalmic examination, a single alive nematode was removed from the conjunctival compartment of the affected eye. Referring to the canine cases, an adult female dog originated from Kenya presented epiphora and mucous whitish grey discharge of the right eye. During flushing of the nasolacrimal duct two small, thin and long nematodes were removed. Furthermore, a male Borzoi racing dog with regular visit to racing tracks in different countries presented ocular mucous discharge. At ophthalmologic examination, two transparent whitish vital nematodes were removed. All nematode specimens of the three cases were morphologically identified as adult T. callipaeda parasites. The animals were treated orally with milbemycin oxime (2.0 mg/kg; cat) or milbemycin oxime/praziquantel (0.5 mg/kg and 5.0 mg/kg; dogs) twice with 1 week interval resulting in complete resolution of symptoms. The repeated introduction of patent T. callipaeda infected animals, especially from southern and eastern endemic countries, will ease the establishment of ophthalmic thelaziosis in Northern Europe. The male fruit fly, Phortica variegata an intermediate host of T. callipaeda is endemic within European countries. Considering the clinical and zoonotic relevance of ophthalmic thelaziosis, enhanced disease awareness of European medical and veterinarian doctors and in depth eye examination for proper detection of T. callipaeda are crucial for appropriate anthelmintic treatments and to limit spreading of the infection.
Coastal Waveform Retracking in the Slick Rich Sulawesi Sea of Indonesia, Based on Variable Footprint Size with Homogeneous Sea Surface Roughness
Venue: Remote. Sens.
Year: 2019

Waveforms of radar altimeters are often corrupted due to heterogeneous sea surface roughness within footprints, such as slicks. In past studies, subwaveform retrackers such as the adaptive leading edge subwaveform retracker (ALES) which use only a section of the waveform have been proposed. However, it is difficult to choose a reasonable estimation window from an individual waveform. In the present study, a post processed subwaveform retracker is proposed which identifies the waveforms of surrounding along track points. The size of the estimation window is variable and is determined to keep the sea surface roughness within the corresponding footprint homogeneous. The method was applied to seven years of 20 Hz Jason 2 altimeter data over the slick rich Sulawesi Sea of Indonesia and compared with ALES and sensor geophysical data record (SGDR) products. The standard deviation of the sea surface dynamic heights was around 0.13 m, even without spatial smoothing or some geophysical corrections. This is only 75% and 25% of the ALES and SGDR results, respectively. Moreover, all retrievals of the range, SWH, and sigma0 include less outliers than the other products. These results indicate that the variable estimation windows determined in the present study can adapt well to the variation of sea surface roughness.
Community Detection in Bipartite Networks with Stochastic Blockmodels
Venue: Physical review. E
Year: 2020

In bipartite networks, community structures are restricted to being disassortative, in that nodes of one type are grouped according to common patterns of connection with nodes of the other type. This makes the stochastic block model (SBM) a highly flexible generative model for networks with block structure, an intuitive choice for bipartite community detection. However, typical formulations of the SBM do not make use of the special structure of bipartite networks. Here we introduce a Bayesian nonparametric formulation of the SBM and a corresponding algorithm to efficiently find communities in bipartite networks which parsimoniously chooses the number of communities. The biSBM improves community detection results over general SBMs when data are noisy, improves the model resolution limit by a factor of sqrt[2] and expands our understanding of the complicated optimization landscape associated with community detection tasks. A direct comparison of certain terms of the prior distributions in the biSBM and a related high resolution hierarchical SBM also reveals a counterintuitive regime of community detection problems, populated by smaller and sparser networks, where nonhierarchical models outperform their more flexible counterpart.
Temperature dependencies of the elastic moduli and thermal expansion coefficient of an equiatomic, single phase CoCrFeMnNi high entropy alloy
Year: 2015

The equiatomic CoCrFeMnNi alloy is now regarded as a model face centered cubic single phase high entropy alloy. Therefore, determination of its intrinsic properties such as the temperature dependencies of elastic moduli and thermal expansion coefficient are important to improve understanding of this new class of material. These temperature dependencies were measured over a large temperature range (200 1270 K) in this study.
An analysis of content free dialogue representation, supervised classification methods and evaluation metrics for meeting topic segmentation
Year: 2011

Automatic topic segmentation in meeting recordings is intensively investigated due to the fact that topic is a salient discourse structure and it indicates natural reference points for contents. Unlike commonly used text based topic segmentation methods, this thesis investigates content free topic segmentation methods. Among the reasons for investigating such methods are: understanding the influence of conversational features in the structure of meeting dialogues, avoiding the complexity of transcription, and protecting confidentiality in sensitive recordings. The research reported here encompasses three major components: classifier selection, sample representation and feature selection, and a set of robust evaluation metrics. Classification, as a supervised learning method, is employed to distinguish vocalisations that signal topic boundaries from other vocalisations. The unbalanced nature of such vocalisation data sets poses a challenge to commonly used classifiers. However, adapted proportional threshold naive Bayes classifiers and Boosting classifiers have been found to perform well with proper combinations of vocalisation features. They exhibit segmentation accuracy competitive with text dependent approaches. Sample representation determines the effectiveness of content free features. A Vocalisation Event (VE) is proposed as classification unit (instance) in contrast to the fixed length analysis window employed by previous approaches. VE has the advantage of naturally accommodating features such as speaker change, pause, overlap and speaker role. Moreover, VE can be located from audio recordings with speaker segmentation techniques. Experiments show that vocalisation features are more effective than prosody features in topic segmentation. Based on VE, a Vocalisation Horizon (VH) is proposed as a novel feature concept, in order to indicate temporal or sequence information among classification instances. VE is found to increase segmentation accuracy considerably. Although Pk and WD are commonly used segmentation metrics, it was found that Pk andWD alone do not suffice to assess the predicted segmentation. A supplemental metric, balance factor o, is proposed to gauge the ratio of predicted and reference boundaries. Balance factor o together with Pk and WD support more reliable judgements of segmentation goodness. These content free methods were successfully tested on both the Augmented Multiparty Interaction corpus (AMI) which contains simulated meetings, and on the Multidisciplinary Medical Team Meetings (MDTM) corpus, which contains real meetings. MDTMs are better structured meetings than AMI and are segmented with higher accuracy, which indicates the relationship between meeting content and structures.
COUNSELLING FOR MITIGATING THE PSYCHO SOCIAL TRAUMA OF FLOOD DISASTER VICTIMS
Year: 2018

Psycho social trauma comes about when a traumatic event overloads an individual's capacity to cope with his or her usual emotional state. Psycho social trauma cannot be predicted based on the events that precede them. Flood is an environmental hazard that occurs naturally and relatively sudden as a result of climate change. It happens in a devastating way and are brought down in good numbers. The resultant effects are particularly damaging in terms of properties and other economic/income generation structures. The focus of this work is on the psychosocial wellbeing of the victims. There is an assumption that women are more likely to suffer disproportionately in most disasters more especially flood, thee is hence they are more vulnerable due to minimal access to source of emergency. The core concept here is to prevent stress disorder in the victims of flood and provide coping interventions for traumatized people from the aftermath of major flood disaster leading to displacement from homes and work place. Most flood victims make more emotional investment and are more likely to experience more post traumatic stress disorder associated with flood and consequently become more devastated emotionally and psycho socially as it happens. The authors hold a strong view that if psycho social therapy is applied to victims irrespective of standing, it will remove ugly memories of the disturbance; extinguish the fears associated with the stressful events especially that which relates to re location and loss of victims' property. The conclusion implies an integrative approach involving experts from diverse field of human being endeavours particularly counselors who are expected to mitigate victims' state of depression, anxiety and other flood inducing.
Medicinal Uses of Honey
Year: 2015

Honey is one of nature's wonders. For long, honey has been used as important source of carbohydrates and natural sweetener. Honey contains sugars, organic acids, minerals, and proteins, enzymes and vitamins in trace amounts. The simple sugars in honey are responsible for its sweetness, hygroscopicity, energy value and other physical properties. Honey's use as medicine has been limited due to lack of scientific report. In recent days, however, there is resurgence. Its greatest medicinal potential is its application as topical agent to wounds and skin infections. Honey has anti inflammatory, immune boosting property, and exhibits broad spectrum antibacterial activity, which are attributed both to physical factors: acidity and osmolarity, and chemical factors: hydrogen peroxide, volatiles, beeswax, nectar, pollen and propolis. Its antioxidant activity is attributed to: glucose oxidase, catalase, ascorbic acid, flavonoids, phenolic acids, carotenoid derivatives, organic acids, Maillard reaction products, amino acids, and proteins. Honey prevents and treats gastrointestinal disorders such as peptic ulcers, gastritis and gastroenteritis. It also poses prebiotic effects and promotes health of gastrointestinal tract. Honey has proven safety for use. Compared to glucose and sucrose, it has lower glycemic and incremental indices in type I diabetic patients. It's simple sugars are absorbed directly into bloodstream without digestion and can serve as an athletic aid.
Analisis de la Metodologia de Gerencia de Proyectos en la Fase Inicial en una Empresa del Sector Electrico
Year: 2018

El presente articulo es el resultado del analisis metodologico desde la gestion de proyectos, realizado a la herramienta desarrollada al interior de la Empresa CAM Colombia, conocida como Proyecto Inicio de Contrato PIC la cual fue creada para facilitar la etapa de inicio de los contratos desarrollados por esta empresa. El estudio permitio el planteamiento de una nueva estructura metodologica basado en algunas de las metodologias internacionalmente reconocidas, que incluian una fase de inicio. Durante este proceso se logro la contrastacion entre los resultados obtenidos de la aplicacion de un instrumento de medicion disenado para esta investigacion, y la metodologia PIC. Los resultados de la aplicacion del instrumento permitieron identificar las oportunidades de mejora del PIC enfocadas en la habilitacion o no de las variables definidas en la investigacion. El analisis de los resultados de la aplicacion del instrumento y el estudio de los referentes internacionales permitieron proponer una metodologia alterna ajustada a las necesidades de CAM. La propuesta tiene como objetivo facilitar la comprension y aplicacion de la metodologia al interior de la empresa, dando cubrimiento a los procesos fundamentales que se deben contemplar en la etapa de inicio de un proyecto. Finalmente se plantean ciertas recomendaciones para facilitar el uso de la metodologia y ampliar la experticia de quienes la manejan para lograr el exito de los proyectos en los cuales es aplicada.