nils-herrmann/clean_scirepeval huggingface dataset:
Deep neural network based hybrid approach for software defect prediction using software metrics
Venue: Cluster Computing
Year: 2018

In the field of early prediction of software defects, various techniques have been developed such as data mining techniques, machine learning techniques. Still early prediction of defects is a challenging task which needs to be addressed and can be improved by getting higher classification rate of defect prediction. With the aim of addressing this issue, we introduce a hybrid approach by combining genetic algorithm (GA) for feature optimization with deep neural network (DNN) for classification. An improved version of GA is incorporated which includes a new technique for chromosome designing and fitness function computation. DNN technique is also improvised using adaptive auto encoder which provides better representation of selected software features. The improved efficiency of the proposed hybrid approach due to deployment of optimization technique is demonstrated through case studies. An experimental study is carried out for software defect prediction by considering PROMISE dataset using MATLAB tool. In this study, we have used the proposed novel method for classification and defect prediction. Comparative study shows that the proposed approach of prediction of software defects performs better when compared with other techniques where 97.82% accuracy is obtained for KC1 dataset, 97.59% accuracy is obtained for CM1 dataset, 97.96% accuracy is obtained for PC3 dataset and 98.00% accuracy is obtained for PC4 dataset.
Phagocytic activity of human macrophages and Drosophila hemocytes after exposure to the neonicotinoid imidacloprid.
Venue: Pesticide biochemistry and physiology
Year: 2019

Neonicotinoid insecticides are increasingly used in modern pest control and in conventional agriculture. Their residues are frequently found in our environment and in our food leading to chronic exposure of pollinating insects and humans. Indeed, evidence has become stronger that chronic exposure to neonicotinoids might have a direct impact on the immune response of invertebrates and vertebrates. Therefore, we compared the cellular immune response of human macrophages (THP 1) and Drosophila melanogaster hemocytes (Schneider 2 cells) after exposure to four different concentrations of the neonicotinoid imidacloprid. Cells were immune activated with LPS (lipopolysaccharide) of Escherichia coli to compare the phagocytic activity of immune activated and non activated cells during pesticide exposure. Drosophila cells were more strongly affected by the insecticide than human macrophages. Even though imidacloprid showed an adverse effect on phagocytosis on both cells while immune activated, it decreased phagocytosis in Drosophila cells at shorter exposure time and without immune activation.
Public Private Partnerships (PPPs) in Development Policy: Exploring the Concept and Practice
Year: 2018

Public private partnerships (PPPs) have proliferated in development studies over the past decades. However, oftentimes the partnership notion remains loosely defined, thus making it difficult to grasp the concept and evaluate practice. This article aims to contribute to conceptual and empirical exploration of the PPP concept. Based on a comprehensive review of the literature, we frame eight characteristics of PPPs in development policy. Turning then to exploration of empirical practice, we present a longitudinal analysis of PPPs in Danish development policy over a twenty year period. The conceptual and empirical insights target PPP development researchers and practitioners alike. This article is protected by copyright. All rights reserved.
Cosmic ray angular distribution employing plastic scintillation detectors and flash ADC/FPGA based readout systems
Year: 2012

It is known that secondary cosmic rays are high energetic particles which are products of shower particles, when primary cosmic rays from outer space hit the atmosphere molecules. Many studies of cosmic rays show that cosmic flux depends on the depth of atmosphere. At ground level, most secondary cosmic rays are muons, a type of charged particle, and have angular dependence. The purpose of this article was to develop the telescope with two plastic scintillation detectors to investigate the angular distribution of cosmic rays at ground level. Directions of investigation were carried out vertical, 45 degree oblique and horizontal directions with respect to earth surface, approximately from North to South. Electronic readout system was developed from Flash Analog Digital Converter (Flash ADC) of 8 bits 250Ms/sec, and Embedded Field Programmable Gate Array (FPGA) based trigger. LabVIEWTM interface was written for controlling trigger system and taking data. For each direction measurement, the deposited energy spectra in the scintillators were obtained. The interest of cosmic ray events was analyzed for counting. Angular distribution was obtained quantitatively. The experiment has been done at University of Science HCMC.
Creating Clear and Informative Image based Figures for Scientific Publications
Year: 2020

Scientists routinely use images to display data. Readers often examine figures first; therefore, it is important that figures are accessible to a broad audience. Many resources discuss fraudulent image manipulation and technical specifications for image acquisition; however, data on the legibility and interpretability of images are scarce. We systematically examined these factors in non blot images published in the top 15 journals in three fields; plant sciences, cell biology and physiology (n=580 papers) Common problems included missing scale bars, misplaced or poorly marked insets, images or labels that were not accessible to colorblind readers, and insufficient explanations of colors, labels, annotations, or the species and tissue or object depicted in the image. Papers that met all good practice criteria examined for all image based figures were uncommon (physiology 16% cell biology 12% plant sciences 2% We present detailed descriptions and visual examples to help scientists avoid common pitfalls when publishing images. Our recommendations address image magnification, scale information, insets, annotation, and color and may encourage discussion about quality standards for bioimage publishing.
Performance, carcass traits, meat quality and amino acid profile of different Japanese quails strains
Venue: Journal of Food Science and Technology
Year: 2017

Poultry production is considered one of the prospective opportunities to accomplish sustainable and quick production of superior protein to challenge the growing mandate for animal protein. Therefore, this study was aimed to explore the difference on growth performance, carcass traits, meat quality and amino acid profile of different Japanese quails strains. A total of 480 quail chicks of four different plumage colors (120 of each white, golden, gray and brown) were collected after hatching. At 6 week of age, birds were stunned and decapitated to determine the physical meat quality, thiobarbituric acid reactive substances and amino acid profile. White quails had the highest weight of slaughter, carcass, dressing, carcass yield, liver, gizzard, heart and spleen (197.27 g, 169.27 g, 91% 82% 6.63 g, 6.53 g, 2.27 g and 0.40 g, respectively) Also, they had the highest PhU, lightness, yellowness and water holding capacity with the lowest level of redness, cooking losses and thiobarbituric acid in pectoral (6.28, 46.40, 12,46, 22.17, 9.20, 19.21 and 0.44, respectively) and thigh muscles (6.37, 42.30, 11.51, 26.01, 10.12 and 0.93, respectively) Moreover, they possessed the highest level of all essential (11.68 and 10.16 g/100 g protein in pectoral and thigh muscles, respectively) and non essential amino acids (13.27 and 12.54 g/100 g protein in pectoral and thigh muscles, respectively) Therefore, the current study revealed that white quails had the heaviest body weight with the best carcass traits and meat quality.
Self compassion and reactions to unpleasant self relevant events: the implications of treating oneself kindly.
Venue: Journal of personality and social psychology
Year: 2007

Five studies investigated the cognitive and emotional processes by which self compassionate people deal with unpleasant life events. In the various studies, participants reported on negative events in their daily lives, responded to hypothetical scenarios, reacted to interpersonal feedback, rated their or others' videotaped performances in an awkward situation, and reflected on negative personal experiences. Results from Study 1 showed that self compassion predicted emotional and cognitive reactions to negative events in everyday life, and Study 2 found that self compassion buffered people against negative self feelings when imagining distressing social events. In Study 3, self compassion moderated negative emotions after receiving ambivalent feedback, particularly for participants who were low in self esteem. Study 4 found that low self compassionate people undervalued their videotaped performances relative to observers. Study 5 experimentally induced a self compassionate perspective and found that self compassion leads people to acknowledge their role in negative events without feeling overwhelmed with negative emotions. In general, these studies suggest that self compassion attenuates people's reactions to negative events in ways that are distinct from and, in some cases, more beneficial than self esteem.
A Proposed Framework for Implementing Cloud ERP System in a Developing Country Local Government: A Case of Uganda
Year: 2020

Increased demand for efficiency and effectiveness in service delivery has made the implementation of information systems and the demand for access to real time information no longer a requirement unique to private sector or large public sector entities. Local government entities like municipalities are also challenged to provide services with similar efficiency and effectiveness. Successful implementation of an ERP system depend on a number of factors, the framework adopted when implementing the ERP is one of the factors that is critical. Implementing ERP system in local governments in developing countries should also take into account the fact that developing countries lack sufficient technological infrastructure, ERP implementing skills, adequate funds, and have unique political influences unlike developed countries. Cloud ERP provides a platform where local governments in developing countries could successfully implement ERP within prevailing constraints. An exploratory methodology involving focus groups was used to understand the information systems context of municipalities in a developing country, Uganda. Existing ERP implementing frameworks were reviewed, and a conceptual framework to successfully implement a cloud ERP system in a developing country local government is proposed. The understanding of ERP implementing framework/methodology will enable decision makers and ERP vendors reduce on total or partial failure rate of ERP implementation in developing country local governments. Existing ERP implementing frameworks are private sector based,developed countries oriented, based on universal best practice, and vendor specific. The contribution of this research is to the knowledge of implementing ERP in the context of public sector in a developing country
Does postoperative blood pressure influence development of aortic regurgitation following continuous flow left ventricular assist device implantation?
Venue: European journal of cardio thoracic surgery official journal of the European Association for Cardio thoracic Surgery
Year: 2016

The true impact of postoperative blood pressure (BP) control on development of aortic regurgitation (AR) following continuous flow left ventricular assist device (CF LVAD) implantation remains uncertain. This study examines the influence of BP in patients with de novo AR following CF LVAD implantation.  All patients with no or <mild AR who underwent CF LVAD implantation from July 2006 to July 2012 at our institute and with subsequent device support of =3months (n 90) were studied. Serial echocardiograms and BP readings were obtained preoperatively, postoperatively at 1, 3 and 6 months, and then at a minimum of 4 monthly intervals. BP readings were compared between patients who developed mild AR (AR group) versus those who did not (non AR group) Logistic regression analysis was used to define independent predictors of =mild AR following CF LVAD implantation.  Median duration of CF LVAD support was 575 days (range: 98 2433 days) Forty eight patients (53.3% developed mild AR over a median duration of 126 days. BP readings (median values, mmHg) between AR and non AR groups showed statistically significant differences: at 3 months systolic 99.5 vs 92.5 (P 0.038) diastolic 81.5 vs 66 (P 0.001) mean 86.5 vs 74 (P 0.001) and at 6 months diastolic 73 vs 62 (P 0.044) mean 83 vs 74.5 (P 0.049) respectively. Systolic BP at 3 months (P 0.047, 95% CI 0.453 0.994, OR 0.671) aortic valve (AoV) closure (P 0.01, 95% CI 0.002 0.429, OR 0.029) and duration of support (P 0.04, 95% CI 1.000 1.009, OR 1.004) were found to be independent predictors of AR following CF LVAD implantation.  BP readings at 3 months and 6 months showed a statistically significant association with =mild AR following CF LVAD implantation, with systolic blood pressure at 3 months, aortic valve closure and longer support duration being independent predictors. Clinical implications of these data may warrant consideration of aggressive early control of BP to protect against the development/progress of AR following CF LVAD implantation.
Evolutionary taxonomy construction from dynamic tag space
Venue: World Wide Web
Year: 2011

Collaborative tagging becomes a common feature of current web sites, facilitating ordinary users to annotate and represent online resources. The large collection of tags and their relationships form a tag space. In this kind of tag space, the popularity and correlation amongst tags capture the current social interests. Tags are freely chosen keywords and difficult to organize. As a hierarchical concept structure to represent the subsumption relationships, automatically extracted taxonomies become a viable method to manage collaborative tags. However, tags change over time, and it is also imperative to incorporate the temporal tag evolution into the extracted taxonomies. In this paper, we formalize the problem of evolutionary taxonomy generation over a large collection of tags. A line of taxonomies are generated to reflect the temporal changes of underlying tag space. The proposed evolutionary taxonomy framework consists of two novel contributions. First, we develop a context aware edge selection algorithm for taxonomy extraction. This method is built on seminal association rule mining algorithm. Second, we propose several strategies for evolutionary taxonomy fusion, which smooths the newly generated taxonomy with prior ones. We conduct an extensive performance study using a large real life web page tagging dataset (i.e. Del.ici.ous) The empirical results clearly verify the effectiveness and efficiency of the proposed approach.
Art and Artifice of Shakespearean Tragedy: A Critical Approach
Year: 2018

The dramatists of ancient Greece fixed the character and features of tragedy, and the Greek philosopher Aristotle analyzed and defined its nature. But Shakespeare, as a romantic playwright in Elizabethan England, violated the rules set and propagated by the classics for the sake of being truer to nature. Shakespeare"s concept of tragedy may be illustrated from three main points of views, which distinguish him as a dramatist, they are: Tragic Hero, Tragic Action (Tragic Plot) and Tragic Appeal (Tragic Catharsis) aspects which this paper attempts to stress and analyze. Through critical analysis of Shakespeare"s four major tragedies, this paper attempts also to highlight the features that constitute a Shakespearean tragedy. The paper also tries to show how a Shakespearean tragedy is different from the classical tragedy of ancient Greece. The researcher concluded that a Shakespearean tragedy moves on several plans all at once. It reflects the contradictions of social life during the Renaissance culture; it anticipates the development of realism and romanticism in the nineteenth century, and it reveals the hidden depths of the human mind unknown to literature before. Thus it is of universal appeal. Above all, it is the finest evidence of Shakespeare"s humanism which shows such a profound understanding of the human soul in pain.
Analysis of entanglement in quantum systems with continuous variables by means of Schmidt decomposition
Venue: Quantum Informatics
Year: 2006

We investigate the procedure of Schmidt modes extraction in systems with continuous variables. An algorithm based on singular value matrix decomposition is applied to the study of entanglement in an "atom photon" system with spontaneous radiation. Also, this algorithm is applied to the study of a bi photon system with spontaneous parametric down conversion with type II phase matching for broadband pump. We demonstrate that dynamic properties of entangled states in an atom photon system with spontaneous radiation are defined by a parameter equal to the product of the fine structure constant and the atom electron mass ratio. We then consider the evolution of the system during radiation and show that the atomic and photonic degrees of freedom are entangling for the times of the same order of magnitude as the excited state life time. Then the degrees of freedom are de entangling and asymptotically approach to the level of small residual entanglement that is caused by momentum dispersion of the initial atomic packet. Finally, we investigate the process of coherence loss between modes in type II parametric down conversion that is caused by non linear crystal properties.
Interactive comment on " Mean wind vector estimation using the Velocity Azimuth Display VAD method An explicit algebraic solution " by Gerd Teschke and Volker Lehmann
Year: 2017

The authors have addressed my original criticisms, comments and questions. Just a couple of minor suggestions: Conclusions section, lines 9 10: Change "The total retrieval error is depending on " to the "The total retrieval error is dependent upon." Also in several places the author makes reference to the "zenith distance" or the "zenith distance angle." I would suggest changing this to simply "zenith angle"
DP LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy Preserving ERM
Venue: MSML
Year: 2020

Machine learning (ML) models trained by differentially private stochastic gradient descent (DP SGD) have much lower utility than the non private ones. To mitigate this degradation, we propose a DP Laplacian smoothing SGD (DP LSSGD) to train ML models with differential privacy (DP) guarantees. At the core of DP LSSGD is the Laplacian smoothing, which smooths out the Gaussian noise used in the Gaussian mechanism. Under the same amount of noise used in the Gaussian mechanism, DP LSSGD attains the same DP guarantee, but in practice, DP LSSGD makes training both convex and nonconvex ML models more stable and enables the trained models to generalize better. The proposed algorithm is simple to implement and the extra computational complexity and memory overhead compared with DP SGD are negligible. DP LSSGD is applicable to train a large variety of ML models, including DNNs. The code is available at \url{this https URL}
Cloud computing and e learning and their benefits for the institutions of higher learning
Venue: 2016 IEEE Conference on e Learning, e Management and e Services (IC3e)
Year: 2016

At present the institutions of higher learning attempt to be competitive for their applicants. Therefore, they look for new ways of attracting them. One of the ways is also the efficient use of modern technologies since the young generation entering these institutions is the so called digital natives who perceive technologies as an inseparable part of their lives. The purpose of this article is to explore the concepts of cloud computing and e learning and their benefits if these two technologies are combined with the purpose of their use by the institutions of higher learning. The methods used for the exploration of the topic on cloud computing and e learning in the institutions of higher learning comprise a method of literature search of available sources, and a method of comparison of examining the information found in the selected research studies on this topic. The authors of this article also present a case study illustrating the advantages and disadvantages of cloud computing in practice.
Event sampled direct adaptive NN state feedback control of uncertain strict feedback system
Venue: 2016 IEEE 55th Conference on Decision and Control (CDC)
Year: 2016

In this paper, neural networks (NNs) are utilized in the backstepping approach to design a control input by approximating unknown dynamics of the strict feedback nonlinear system with event sampled inputs. The system state vector is assumed to be measurable. As part of the controller design, first, local input to state like stability (ISS) for a continuously sampled controller that has been injected with bounded measurement errors is demonstrated and, subsequently, an event execution control law is derived such that the measurement errors are guaranteed to remain bounded. Lyapunov theory is used to demonstrate that the tracking errors and the NN weight estimation errors for each NN are locally uniformly ultimately bounded (UUB) in the presence bounded disturbances, NN reconstruction errors, as well as errors introduced by event sampling. Simulation results are provided to illustrate the effectiveness of the proposed controller.
Green Cloud Computing Using Proactive Virtual Machine Placement: Challenges and Issues
Venue: Journal of Grid Computing
Year: 2019

Efficient VM management is very crucial for energy saving, increasing profit, and preventing SLA violations. VM placement schemes can be classified into reactive and proactive/predictive schemes which try to improve the VM placement results, by forecasting future workloads or resource demands using various prediction techniques. This paper puts forward an extensive survey of the proactive VM placement approaches and categorizes them according to their applied forecasting methods. It describes how each scheme has applied the prediction algorithms to conduct more effective and low overhead VM placement. Moreover, in each category, factors such as evaluation parameters, simulation software, workload data, power management method, and prediction factors are compared to illuminate more details about the investigated VM placement approaches. At last, the concluding issues and open future studies trends and area are highlighted.
Human African Trypanosomiasis: Progress and Stagnation.
Venue: Infectious disease clinics of North America
Year: 2019

Control efforts have considerably reduced the prevalence of human African trypanosomiasis (HAT) due to Trypanosoma brucei gambiense in West/Central Africa and to Trypanosoma brucei rhodesiense in East Africa. Management of T brucei gambiense HAT has recently improved, with new antibody based rapid diagnostic tests suited for mass screening and clinical care, and simpler treatments, including the nifurtimox eflornithine combination therapy and the new oral drug fexinidazole to treat the second stage of the disease. In contrast, no major advance has been achieved for the treatment of T brucei rhodesiense HAT, a zoonosis that occasionally affects short term travelers to endemic areas.