nils-herrmann/clean_scirepeval huggingface dataset:
Comparative evaluation of Amblyomma ovale ticks infected and noninfected by Rickettsia sp. strain Atlantic rainforest, the agent of an emerging rickettsiosis in Brazil.
Venue: Ticks and tick borne diseases

In 2010, a novel spotted fever group rickettsiosis was reported in the Atlantic rainforest coast of Brazil. The etiological agent was identified as Rickettsia sp. strain Atlantic rainforest, and the tick Amblyomma ovale was incriminated as the presumed vector. The present study evaluated under laboratory conditions four colonies of A. ovale: two started from engorged females that were naturally infected by Rickettsia sp. strain Atlantic rainforest (designated as infected groups) the two others started from noninfected females (designated as control groups) All colonies were reared in parallel from F0 engorged female to F2 unfed nymphs. Tick naive vesper mice (Calomys callosus) or domestic rabbits were used for feeding of each tick stage. Rickettsia sp. strain Atlantic rainforest was preserved by transstadial maintenance and transovarial transmission in A. ovale ticks for at least 2 generations (from F0 females to F2 nymphs) because nearly 100% of the tested larvae, nymphs, and adults from the infected groups were shown by PCR to contain rickettsial DNA. All vesper mice and rabbits infested by larvae and nymphs, and 50% of the rabbits infested by adults from the infected groups seroconverted, indicating that these tick stages were vector competent for Rickettsia sp. strain Atlantic rainforest. Expressive differences in mortality rates and reproductive performance were observed between engorged females from the infected and control groups, as indicated by 75.0% and 97.1% oviposition success, respectively, and significantly lower egg mass weight, conversion efficiency index, and percentage of egg hatching for the infected groups. Our results indicate that A. ovale can act as a natural reservoir for Rickettsia sp. strain Atlantic rainforest. However, due to deleterious effect caused by this rickettsial agent on engorged females, amplifier vertebrate hosts might be necessary for persistent perpetuation of Rickettsia sp. strain Atlantic rainforest in A. ovale under natural conditions.
A new RF rectifier for energy harvesting with enhanced dynamic power range
Venue: 2016 IEEE International Symposium on Antennas and Propagation (APSURSI)

This paper proposes a new RF rectifier with a dynamically extendable RF DC power conversion 50% range. Compared to typical rectifiers, the adopted power combining topology extends the dynamic efficient range by 3 dB, while maintaining acceptable performance at low powers. A 1.84 GHz rectifier with the proposed topology is designed. A prototype of the designed rectifier is fabricated and tested. It is shown that the proposed rectifier maintains acceptable conversion efficiency over a power range extending from 2 dBm to 11 dBm. The performance of such rectifier is to be assessed using different antenna configurations dedicated to harvest RF and/or solar energy to power battery less devices.
Differentially Driven Rectifier for energy harvesting
Venue: 2016 Asia Pacific Microwave Conference (APMC)

This paper presents a Differentially Driven Rectifier (DDR) for Radio Frequency (RF) energy harvesting system at WLAN frequency 2.4 GHz. This rectifier converts the RF signal into direct current (DC) voltage at the given frequency band. A parameter S and transient analysis on rectifier circuit is carried out to investigate its band, efficiency and output voltage. The optimum parameters including the value of capacitance, inductance and load value are calculated with HSMS 2850 Schottky Diode. Simulation and measurement results are presented that passive component based circuit can significantly increase the RF input voltage and broaden the input range of the rectifier. The DDR simulation results the efficiency up to 75.65% and 3.58 V output voltage at 10 dBm input power. Meanwhile, the measurement results show efficiency up to 56.39% and 1.01 V output voltage at the same input power.
Worldwide risk factors in leishmaniasis.
Venue: Asian Pacific journal of tropical medicine

Recently, vector borne parasitic diseases such as leishmaniasis have been emerged or re emerged in many geographical areas and resulted in global health and economic concerns that involve humans, domestic animals and wild life. The ecology and epidemiology of leishmaniasis are affected by the between host, reservoir and vector (human, animal and sandfly) and the environment. Important drivers for the emergence and spread of leishmaniasis include environmental factors such as alterations in temperature and water storage, irrigation habits, deforestation, climate changes, immunosuppression by HIV or organ transplant, development of drug resistance, increase traveling to endemic regions and dog importation. War, poor socio economic status and low level household are also major contributors to the spread of this disease. Health education via the public media and training should be implemented by international organizations and governmental agencies in collaboration with research institutions. Fully protection during transmission season, using bednets and insecticides and reservoirs' control should be also mentioned in the planning. Based on the findings of the recent studies and high prevalence of leishmaniasis, it is concluded that serious public health monitoring should be considered.
Learning Efficient Data Representations With Orthogonal Sparse Coding
Venue: IEEE Transactions on Computational Imaging

We present the learning algorithm orthogonal sparse coding (OSC) to find an orthogonal basis in which a given data set has a maximally sparse representation. OSC is based on stochastic descent by Hebbian like updates and Gram Schmidt orthogonalizations, and is motivated by an algorithm that we introduce as the canonical approach (CA) First, we evaluate how well OSC can recover a generating basis from synthetic data. We show that, in contrast to competing methods, OSC can recover the generating basis for quite low and, remarkably, unknown sparsity levels. Moreover, on natural image patches and on images of handwritten digits, OSC learns orthogonal bases that attain significantly sparser representations compared to alternative orthogonal transforms. Furthermore, we demonstrate an application of OSC for image compression by showing that the rate distortion performance can be improved relative to the JPEG standard. Finally, we demonstrate the state of the art image denoising performance of OSC dictionaries. Our results demonstrate the potential of OSC for feature extraction, data compression, and image denoising, which is due to two important aspects: (1) the learned bases are adapted to the signal class, and (2) the sparse approximation problem can be solved efficiently and exactly.
Learning V4 Curvature Cell Populations from Sparse Endstopped Cells
Venue: ICANN

We investigate in this paper the capabilities of learning sparse representations from model cells that respond to curvatures. Sparse coding has been successful at generating receptive fields similar to those of simples cells in area V1 from natural images. We are interested here in neurons from intermediate areas, such as V2 and V4. Neurons on those areas are known to respond to corners and curvatures. Endstopped cells (also known as hypercomplex) are hypothesized to be selective to curvatures and are greatly represented in area V2. We propose here a sparse coding learning approach where the input is not images, nor simple cells, but curvature selective cells. We show that by learning a sparse code of endstopped cells we can obtain different degrees of curvature representations.
Interlanguage Pragmatics of EFL Advanced Learners: Insights from a Longitudinal Study into the Development of the Speech Act of Request in the Polish Context

In this paper the acquisition of pragmatic competence in English among advanced Polish learners of English is investigated. A sample of linguistic written data was collected in a discourse completion task of an open response format in a longitudinal study on EFL acquisitional pragmatics. The responses provided, in this particular case requests, were studied mostly following Blum Kulka et al. (1989) Rue and Qiao (2008) Takahashi (2001) and Bardovi Harlig (2001) This means that internal and external mitigating devices were investigated together with strategies for expressing directness of requests. On this basis, conclusions about the interlanguage pragmatic competence of the participants are drawn. Also, selected aspects of L2 pragmatics which may require further instruction are mentioned.
7 Norms of war in Eastern Orthodox Christianity

The attitudes of the Eastern Orthodox churches to the use of armed force and the means and methods of warfare have not received such exhaustive treatment as the corresponding attitudes to the same phenomena in Western Christianity Roman Catholicism and the various denominations of Protestant Christianity. Yet lately a thought provoking debate has developed among Eastern Orthodox theologians and scholars centred on the historical development and transformations of the notions of 'justifiable war' and 'just war' or the categorization of war as a 'lesser good' or a 'lesser evil' in Eastern Orthodox Christianity.1 These debates, as well as the Eastern Orthodox Christian responses to modern developments in international humanitarian law and new weapons and tactics of mass destruction, need to be considered in the context of the historical development and transformations of the Eastern Orthodox perspectives on war and peace, their principal stages and figures, their scriptural and patristic basis and their reinterpretations in modern ideologized and reformist trends in Eastern Orthodox thought. Eastern Orthodox attitudes to the problems of warfare, just war and the ethics of war offer important parallels to and differences from the respective Western Christian attitudes, which need a careful and balanced analysis. It is worth mentioning at this stage that it is still difficult to present a definitive reconstruction of the evolution of the notions of just and/ or justifiable war in Eastern Orthodox thought and societies, because some of the main relevant works in its classical representative tradition, Byzantine Christianity, either have not been edited and published or,
Opposition chaotic fitness mutation based adaptive inertia weight BPSO for feature selection in text clustering
Venue: Appl. Soft Comput.

Graphical abstractDisplay Omitted HighlightsA feature selection method based on binary particle swarm optimization is presented.Fitness based adaptive inertia weight is integrated with the binary particle swarm optimization to dynamically control the exploration and exploitation of the particle in the search space.Opposition and mutation are integrated with the binary particle swarm optimization improve it's search capability.The performance of the clustering algorithm improves with the features selected by proposed method. Due to the ever increasing number of documents in the digital form, automated text clustering has become a promising method for the text analysis in last few decades. A major issue in the text clustering is high dimensionality of the feature space. Most of these features are irrelevant, redundant, and noisy that mislead the underlying algorithm. Therefore, feature selection is an essential step in the text clustering to reduce dimensionality of the feature space and to improve accuracy of the underlying clustering algorithm. In this paper, a hybrid intelligent algorithm, which combines the binary particle swarm optimization (BPSO) with opposition based learning, chaotic map, fitness based dynamic inertia weight, and mutation, is proposed to solve feature selection problem in the text clustering. Here, fitness based dynamic inertia weight is integrated with the BPSO to control movement of the particles based on their current status, and the mutation and the chaotic strategy are applied to enhance the global search capability of the algorithm. Moreover, an opposition based initialization is used to start with a set of promising and well diversified solutions to achieve a better final solution. In addition, the opposition based learning method is also used to generate opposite position of the gbest particle to get rid of the stagnation in the swarm. To prove effectiveness of the proposed method, experimental analysis is conducted on three different benchmark text datasets Reuters 21578, Classic4, and WebKB. The experimental results demonstrate that the proposed method selects more informative features set compared to the competitive methods as it attains higher clustering accuracy. Moreover, it also improves convergence speed of the BPSO.
Experimental investigation of the effects of heterogeneity and geostress difference on the 3D growth and distribution of hydrofracturing cracks in unconventional reservoir rocks

Accurate understanding and characterization of the growth and distribution of hydrofracturing cracks is a pivotal issue in enhancing hydraulic fracturing stimulation of unconventional oil and gas reservoirs. In situ investigations have been conducted to probe hydrofracturing crack growth and distribution patterns underground. Unfortunately, few are available for providing accurate knowledge of the three dimensional growth and distribution behavior of hydrofracturing cracks in unconventional heterogeneous rock formations. This study reports an investigation that incorporates model materials, triaxial hydrofracturing tests, CT technology, and numerical tools to probe the effects of material heterogeneity and geostress difference on the crack growth and distribution in three dimensions in heterogeneous rocks. The initiation positions and propagation azimuths of cracks influenced by geostress difference and heterogeneous gravels are analyzed by means of fracture mechanics and finite element methods. The CT technique and the fractal theory are used to characterize the 3D growth and distribution patterns of cracks in the media. The results show that material heterogeneity and horizontal geostress difference greatly influence the 3D initiation, growth and distribution of hydrofracturing cracks. The horizontal geostress ratio 1:1.7 appears to be a threshold value lower than which multiple, twist hydrofracturing cracks emerge in heterogeneous reservoir glutenite.
Anti corrosion mechanism of epoxy resin and different content Fe2O3 coatings on magnesium alloy
Venue: Frontiers of Materials Science

In this study, anti corrosion coatings were prepared and coated successfully on magnesium alloy substrates by mixing nanopowders, solvent, curing agent with epoxy resin. The effect of the amount of iron trioxide (Fe2O3) on the adhesion strength and corrosion resistance on magnesium alloy was investigated with standard protocols, and electrochemical measurements were also made in 3.5 wt. NaCl solutions. The surface morphology and corrosion mechanism after corrosion tests was characterized using FESEM analysis. Nanoparticles in matrix acted as filler, and interstitial cross linked spaces and other coating artifacts regions (micro cracks and voids) would all affect the anti corrosion properties of coating. The results showed the proper powder content not only provided adhesion strength to these coatings but also improved obviously their anticorrosion. Hydrogen bound to the amine nitrogen (1N) could take part in the curing process rather than hydrogen of the amide site due to the smaller DG and the more stable configuration.
Orexin A modulates INS 1E cell proliferation and insulin secretion via extracellular signal regulated kinase and transient receptor potential channels.
Venue: Journal of physiology and pharmacology an official journal of the Polish Physiological Society

Orexins A (OXA) and B (OXB) control energy homeostasis by regulating food intake, energy expenditure and sleep wake cycle. Several studies showed that OXA stimulates insulin secretion and proliferation of beta cells. However, mechanisms of action are still not well understood. Here, we investigated whether ERK and transient receptor potential channels (TRPs) play a role in mediating the effect of OXA on cell growth, insulin production, and secretion using the established INS 1E cell line. Cell proliferation was measured using BrdU assay. Insulin mRNA expression was detected by real time PCR. Insulin secretion was assessed using ELISA. Intracellular calcium levels were measured using fluorescence calcium imaging (fura 2/AM) Extracellular signal regulated kinase 1/2 (ERK1/2) phosphorylation was detected by Western blot. TRP channel activity was blocked by lanthanum (III) chloride (La3+ 100 300 mM) or ruthenium red (RuR; 10 mM) OXA (100 nM) stimulated INS 1E cell proliferation, insulin secretion, intracellular Ca2+ concentration and ERK1/2 phosphorylation, without changing insulin mRNA expression. Inhibition of ERK1/2 by 10 mM U0126 attenuated OXA stimulated INS 1E cell proliferation. Blockade of TRP channel activity by La3+ or RuR rendered OXA ineffective at modulating Ca2+ regulation and insulin release. In contrast, the L type channel blocker nifedipine (10 mM) failed to affect OXA stimulated insulin release. Taken together, OXA increases INS 1E cell proliferation via ERK1/2 dependent mechanism. Furthermore, OXA stimulates insulin secretion from INS 1E cells. TRPs are relevant for OXA stimulated insulin secretion and intracellular calcium regulation.
The chain effect from human resource based clinical governance through emotional intelligence and CSR to knowledge sharing

Clinical governance is a transcendent force to steer clinicians towards patients and other clinicians in health care organizations. This empirical research seeks to examine the chain effect from clinical governance, which is promoted by human resource (HR) practices, through emotional intelligence (EI) and corporate social responsibility (CSR) to knowledge sharing. Through the investigation of the responses from 418 middle level clinicians, the proposed model was tested through the structural equation modelling based analysis. Research results confirmed the role of clinical governance in leveraging EI and ethical CSR among clinicians, which are activators of knowledge sharing. The contribution of HR practices to clinical governance was also revealed from data analysis. Managerial implications on clinical governance indicators that aim to shape EI and CSR in health care organizations were grounded from research findings.
Emotional Intelligence Research within Human Resource Development Scholarship.

The purpose of this study is to review and synthesize pertinent emotional intelligence (EI) research within the human resource development (HRD) scholarship.  An integrative review of literature was conducted and multiple electronic databases were searched to find the relevant resources. Using the content analysis technique, the literature was reviewed and thematically organized.  Seven major themes emerged through the process of content analysis on the body of the reviewed literature. The themes which described the presence of EI related research within the field of HRD, included: Conceptual connections between EI and HRD; various aspects of EI training and development; the strengths and weaknesses of different EI measurement tools; EI profiles of individuals across various careers; the influence of context in the interpretation of EI; the role of EI in productive interpersonal interactions; and, finally, the impact of EI in leadership development and perf.
Perancangan Pemesanan Paket Wisata dengan Pembayaran Online Menggunakan Payment Gateway pada Aplikasi Android: studi kasus CV Ambarawa Raya Travel Agent

Tourism becomes one of important part nowadays. As the development of technology, travelers can search the destination to visit which is so vary. Kabupaten Semarang Jawa Tengah has many interesting destination can be visited by travelers. However, the lack of promotion cause the travelers do not know more about the tourism destination there. A system was built in order to design and implemented information system for tourism in Kabupaten Semarang with Android as the base. This system was equipped with online payment using payment gateway where travelers can do online payment to reserve a room in a hotel, tourism product, or tourism package. This system can also be used as media for promotion and support tourism in Kabupaten Semarang. The study was done in CV Ambarawa Raya Travel Agent. The data were collected from tourism destination with the facilities that support tourism (Hotel Lodging) The study found out that it can fulfill the travellers' need since they can get information, reserve a package or hotel through mobile application with Android as the base by using online payment veritrans.co.id
Noos and Mortal Enquiry in the Poetry of Xenophanes and Parmenides

Cet article examine le role joue par la notion d'intelligence (noos) dans la poesie de Xenophane et de Parmenide. L'auteur soutient que ces deux philosophes, en modifiant les attributs traditionnels du noos humain et divin, repondent aux problemes poses par le pessimisme gnoseologique de la tradition poetique archaique, dans laquelle les mortels sont ineluctablement condamnes a l'ignorance. Comme le montre le cas d'Hesiode, meme l'inspiration divine ne garantit pas d'acquerir la connaissance, parce que la divinite peut communiquer, a son gre, le vrai ou le faux et que le poete est depourvu de moyens pour etablir la validite de la revelation. Chez Xenophane en revanche, la regularite de l'ordre naturel fonde sur l'immuable noos du dieu offre aux hommes la possibilite effective d'ameliorer leur comprehension du monde, tandis que dans le poeme de Parmenide, la deduction des attributs de l'Etre donne aux mortels l'acces a cette verite qui etait auparavant une prerogative exclusive des dieux.
Application of artificial intelligence (AI) techniques in water quality index prediction: a case study in tropical region, Malaysia
Venue: Neural Computing and Applications

The management of river water quality is one the most significant environmental challenges. Water quality index (WQI) describes several water quality variables at a certain aquatic environment and time. Classically, WQI is commonly computed using the traditional methods which involved lengthy computation, consume timing and occasionally associated with accidental errors during subindex calculation. Thus, providing an accurate prediction model for WQI is highly required. Recently, the artificial neural networks (ANNs) have been examined for similar prediction applications and exhibited a remarkable ability to capture the nonlinearity pattern between predictors and predictand. In the current research, two different ANN algorithms, namely radial basis function neural network (RBFNN) and back propagation neural networks models, have been applied to examine and mimic the relationship of WQI with the water quality variables in a tropical environment (Malaysia) The input variables categorized into two different architectures and have been inspected. In addition, comprehensive analysis for the performance evaluation and the sensitivity analysis of the variables have been conducted. The results achieved are positively promising with high performance accuracy belonging to RBFNN model for both scenarios. Furthermore, the proposed approach offers an effective alternative to compute and predict WQI, to the fact that WQI manual calculation methods involved lengthy computations, transformations, use of various subindex formulae for each value of the constituent water quality variables, and consuming time.