nils-herrmann/clean_scirepeval huggingface dataset:
Enhancing the Performance of a Distributed Mobile Computing Environment by Topology Construction
Venue: ICA3PP
Year: 2012

Topology construction methods for a distributed mobile computing environment where the devices are heterogeneous, mobile, and use dynamic voltage scaling and variable transmission power control methods to efficiently use the overall system energy are developed in this research. The final goal of the research is to complete as many tasks as possible using the distributed mobile computing system. The tasks in this system are heterogeneous and must be completed by their deadline to have value. The tasks must be intelligently distributed among the devices to efficiently use the system resources. The reason for the new topology methods was that as the number of devices increase for the example environment the number of communications dropped because of communication collision increased. We propose two major ideas for topology algorithms to enhance the performance and compared it with the all connected environment and the one that uses the MSMR method which showed improved performance over previous ones. Different methods proved to be better than MSMR in different scenarios for the distributed mobile computing environment.
Psychoanalytic psychotherapy improves quality of life, depression, anxiety and coping in patients with systemic lupus erythematosus: a controlled randomized clinical trial
Venue: Advances in Rheumatology
Year: 2019

BackgroundSystemic Lupus Erythematosus (SLE) is an autoimmune disease which impairs the quality of life. The objective of study was to evaluate the effectiveness of Brief Group Psychoanalytic Psychotherapy to improve quality of life, depression, anxiety and coping strategies in SLE patients.MethodsIn a randomized clinical trial, 80 female SLE patients were allocated into two groups: therapy group (n 37) and control group (n 43) Therapy group (TG) attended weekly psychotherapy sessions for 20 weeks; control group (CG) remained on a waiting list. Both groups received standard medical care. Questionnaires and scales were applied by blinded evaluators at baseline (T1) and after 20 weeks (T2) Socioeconomic Status, SLE International Collaborating Clinic/American College of Rheumatology Damage Index, SLE International Disease Activity, SLE Specific Symptom Checklist, SLE Quality of life, Hospital Anxiety Depression Scale, Coping Strategies Inventory. Intent to treat intra and inter group analysis was performed for all variables in T1 and T2 using Qui square, t Student, Mann Whitney and Wilcoxon tests. Analysis of Variance was used to compare categorical variables over time. P 0.05 was considered significant.ResultsThe mean age of patients was 42 years; 54% were white, with mean disease duration of years 12. At baseline, both groups were homogeneous in all variables, including medications. After 20 weeks of psychotherapy TG was significantly different from CG, with lower frequency of symptoms (p 0.001) lower level of anxiety (p 0.019) and depression (p 0.022) better index in five of six domains of quality of life scale (p 0.005) including total SLEQOL (p 0.001) and with higher positive planful problem solving strategy (p 0.017) No change in disease activity score was observed in both groups.ConclusionsPsychoanalytic psychotherapy was effective to improve many domains of quality of life and one positive coping skill and to reduce SLE symptoms, anxiety and depression levels. Brief group psychotherapy can be a useful tool to complement medical care in SLE patients.
Nanoparticle based targeted drug delivery.
Venue: Experimental and molecular pathology
Year: 2009

Nanotechnology could be defined as the technology that has allowed for the control, manipulation, study, and manufacture of structures and devices in the "nanometer" size range. These nano sized objects, e.g. "nanoparticles" take on novel properties and functions that differ markedly from those seen from items made of identical materials. The small size, customized surface, improved solubility, and multi functionality of nanoparticles will continue to open many doors and create new biomedical applications. Indeed, the novel properties of nanoparticles offer the ability to interact with complex cellular functions in new ways. This rapidly growing field requires cross disciplinary research and provides opportunities to design and develop multifunctional devices that can target, diagnose, and treat devastating diseases such as cancer. This article presents an overview of nanotechnology for the biologist and discusses the attributes of our novel XPclad((c) nanoparticle formulation that has shown efficacy in treating solid tumors, single dose vaccination, and oral delivery of therapeutic proteins.
Process modeling in the pharmaceutical industry using the discrete element method.
Venue: Journal of pharmaceutical sciences
Year: 2009

The discrete element method (DEM) is widely used to model a range of processes across many industries. This paper reviews current DEM models for several common pharmaceutical processes including material transport and storage, blending, granulation, milling, compression, and film coating. The studies described in this review yielded interesting results that provided insight into the effects of various material properties and operating conditions on pharmaceutical processes. Additionally, some basic elements common to most DEM models are overviewed. A discussion of some common model extensions such as nonspherical particle shapes, noncontact forces, and interstitial fluids is also presented. While these more complex systems have been the focus of many recent studies, considerable work must still be completed to gain a better understanding of how they can affect the processing behavior of bulk solids.
Scientific collaborations shine on Belt and Road
Year: 2017

In 2014, China launched the so called Silk Road Economic Belt and the 21st Century Maritime Silk Road Initiative (officially abbreviated as Belt and Road Initiative, or B&R) to promote economic and infrastructure cooperation in Asia and East Europe. Besides promising billions of dollars investment and financial aid, China has also vowed to increase science and technology (S&T) collaboration with countries covered in the initiative: currently 65 countries in West Asia, Southeast Asia, South and Central Asia, former Soviet Union, and East and Central Europe. The B&R Initiative reached a milestone when leaders of 28 nations gathered in Beijing between 14 and 15 May 2017 for a summit to map out its roadmap. At the summit, Chinese President Xi Jinping announced investment of 100 billion yuan (US$14.5 billion) into the Silk Road Fund established in 2014 by China. Along with the governments investment, President Chunli Bai of the Chinese Academy of Sciences (CAS) has also announced a blueprint of an S&T cooperation network, to be completed by 2030. To examine how scientific collaboration can promote the development of B&R countries, National Science Review (NSR) recently interviewed Huadong Guo, Chinas leading scientist on remote sensing and the chief architect of the Digital Belt and Road (DBAR) International Science Program, which is aimed at adopting and developing remote sensing technologies to serve the interests of countries involved in the B&R Initiative. Guo spoke about the origin, application and future of the Digital Silk Road and its implications to S&T cooperation among Belt and Road countries. In addition, we interviewed Liying Yang, a senior bibliometrics researcher, on the status of collaborations, and Gang Zhao, a leading science policy advisor, on policy issues associated with the Belt and Road Initiative.
Flexural Behaviour of a Cold Formed Steel Concrete Composite Beam with Channel Type Shear Connector An Experimental and Analytical Study
Venue: Civil and Environmental Engineering Reports
Year: 2019

Steel concrete composite structures are widely used in the current construction of bridges and multi storey buildings. The effect of shear connectors in a cold formed steel composite beam was studied under flexure. The number of channel connectors in the specimen was varied and the same was compared with a specimen without shear connectors. The performance and failure of cold formed steel composite beams were then studied. The presence of shear connectors in the tension zone prevents the formation of cracks which are the major cause of failure in a beam subjected to bending. The load carrying capacity is greater in a composite beam and an increase in the number of channel connectors from one to five increases the load carrying capacity by 60 as compared to a specimen without a connector. A composite beam with five connectors is more ductile, with a ductility factor of 14. The Composite beams were also analysed using the finite element software ANSYS and were found to have good agreement with the experimental results.
Reforming Management Activities To Improve The Efficiency And Effectiveness Of Public Administration
Year: 2020

The article considers the issues of reforming managerial activities to adapt them and increase the effectiveness of public administration institutions. The factors and parameters affecting the overall efficiency of management activities in the field of public administration are considered. A reforming technique based on a program targeted approach to the management system is proposed. The general characteristic is given, and the methodology of the approach to the formation of such a system of managerial activity is described. The mechanism of determining the effectiveness and efficiency of targeted programs implemented using the described technique is described. The data are indicated, and the parameters of the theoretical and practical experiment using the detailed methodology are described within the framework of a separate municipality, taking into account the local characteristics of public administration institutions.
An Approach for Host Based Intrusion Detection System Design Using Convolutional Neural Network
Venue: MONAMI
Year: 2017

Along with the drastic growth of telecommunication and networking, the cyber threats are getting more and more sophisticated and certainly leading to severe consequences. With the fact that various segments of industrial systems are deployed with Information and Computer Technology, the damage of cyber attacks is now expanding to physical infrastructure. In order to mitigate the damage as well as reduce the False Alarm Rate, an advanced yet well design Intrusion Detection System (IDS) must be deployed. This paper focuses on system call traces as an object for designing a Host based anomaly IDS. Sharing several similarities with research objects in Natural Language Processing and Image Recognition, a Host based IDS design procedure based on Convolutional Neural Network (CNN) for system call traces is implemented. The decent preliminary results harvested from modern benchmarking datasets NGIDS DS and ADFA LD demonstrated this approachs feasibility.
THE CLASSROOM PHYSICAL ENVIRONMENT AS A "THIRD TEACHER" FOR AN EARLY CHILDHOOD EDUCATION PROVISION IN THE GA WEST MUNICIPALITY OF GHANA
Year: 2019

In spite of what literature has said about the relevance of the classroom environment and the fact that it can serve as the "Third teacher" in ECE provision, available data shows a lack of infrastructure in most Early Childhood Education (ECE) centres in sub Saharan Africa, including Ghana. The purpose of this study therefore, was to ascertain a first hand information about the state of the classroom environment of the ECE centres in the Ga West Municipality of Ghana and how it was serving as a third teacher for quality ECE provision. Using the convergent design (previously referred to as concurrent triangulation) mixed methods approach, data in the form of questionnaire, interview and observation were collected from 142 participants comprising four ECE circuit coordinators, 130 ECE teachers and four headteachers drawn from 20 schools within the Ga West Municipality in Greater Accra Region of Ghana. The findings showed some general infrastructural problems in the form of inappropriate furniture, unresourced learning centres and overcrowding classroom space. This possibly limited the ability of some of the teachers to translate their training into classroom practice. It also hindered the role the infrastructure (the classroom environment) could play as a third teacher and how PEOPLE: International Journal of Social Sciences ISSN 2454 5899  1340 the children could benefit from their classroom environment to aid their learning. Thus, it is recommended that provision should be made to improve on the infrastructure to make it more developmentally appropriate. Additionally, the ECE classroom environment should be carefully arranged to create space to allow for children's free movement. Tables and chairs used by learners should also be sized to their height and in an appropriate shape (e.g. semi circle) for their activities and the learning centres should be well resourced and used.
Fault diagnosis of rolling bearings with recurrent neural network based autoencoders.
Venue: ISA transactions
Year: 2018

As the rolling bearings being the key part of rotary machine, its healthy condition is quite important for safety production. Fault diagnosis of rolling bearing has been research focus for the sake of improving the economic efficiency and guaranteeing the operation security. However, the collected signals are mixed with ambient noise during the operation of rotary machine, which brings great challenge to the exact diagnosis results. Using signals collected from multiple sensors can avoid the loss of local information and extract more helpful characteristics. Recurrent Neural Networks (RNN) is a type of artificial neural network which can deal with multiple time sequence data. The capacity of RNN has been proved outstanding for catching time relevance about time sequence data. This paper proposed a novel method for bearing fault diagnosis with RNN in the form of an autoencoder. In this approach, multiple vibration value of the rolling bearings of the next period are predicted from the previous period by means of Gated Recurrent Unit (GRU) based denoising autoencoder. These GRU based non linear predictive denoising autoencoders (GRU NP DAEs) are trained with strong generalization ability for each different fault pattern. Then for the given input data, the reconstruction errors between the next period data and the output data generated by different GRU NP DAEs are used to detect anomalous conditions and classify fault type. Classic rotating machinery datasets have been employed to testify the effectiveness of the proposed diagnosis method and its preponderance over some state of the art methods. The experiment results indicate that the proposed method achieves satisfactory performance with strong robustness and high classification accuracy.
A review on fundamentals and strategy of epoxy resin based anticorrosive coating materials
Venue: Polymer Plastics Technology and Materials
Year: 2020

In the field of anticorrosion, epoxy resin plays an important role. Therefore, many researchers have reported the strategy, manufacturing technology, and application of epoxy anticorrosive coatings all over the world. In this paper, three basic ideas for improving the anticorrosion performance of epoxy resin anticorrosive materials are summarized, and the current strategies for developing new epoxy resins are classified into seven types. In the end, it is pointed out that with the development of technology, the development direction of anticorrosive coatings should be toward multifunctional coatings and composite materials.
A critical review on the application of the National Sanitation Foundation Water Quality Index.
Venue: Environmental pollution
Year: 2019

Many studies have employed the National Sanitation Foundation Water Quality Index (NSFWQI) with non original rather than originally defined parameters of the model, particularly when incorporating fecal coliform (FC) total solids, and total phosphates as inputs. For this reason, this study aimed to perform a critical review on the application of the NSFWQI to explore the amount of change that can be expected when users employed non original parameters (such as orthophosphate and total dissolved solids/total suspended solids instead of total phosphorous and total solids, respectively) or different units (FC based on the maximum probable number (FC MPN) rather than the colony forming unit (FC CPU) To demonstrate the influence of originally defined inputs on NSFWQI results, various scenarios were investigated. These scenarios were generated using different possible inputs to the NSFWQI, altering the FC, total solids, and total phosphorous parameters obtained from the monitoring stations of the Sefidroud River in Iran. Considerable differences were observed in the NSFWQI values when using orthophosphate and total suspended solids, instead of the originally defined data (i.e. total phosphorous and total solids) in the model (first scenario) In this case, the number of stations with "good" water quality increased from one to seven when compared with the first scenario results. In addition, unlike the results of the first scenario, none of the stations were classified as class IV (i.e. "bad" water quality status) However, the results of the implemented scenarios presented a more favorable water quality status than those obtained using the first scenario (except the second scenario which included FC MPN rather than FC CFU) Using total dissolved solids instead of total solids and FC MPN rather than FC CPU, resulted in fewer changes. In both cases, the average of the NSFWQI values in the river classed all stations as "medium" and "bad" water quality for the wet and dry seasons, respectively. Proper application of NSFWQI is important to provide high quality results for evaluation of water bodies, particularly when incorporating total solids and total phosphorous as inputs.
Leadership Style and Job Satisfaction of Greek Banking Institutions
Year: 2015

The aim of the present study is to investigate the relationship between Greek Banks' leadership style and their employee's satisfaction with their job. Leadership is considered to be an integral part of an organization's structure, policies and strategies, and overall function. Therefore, it affects employees' everyday life, interpersonal relationships, problem solving strategies and internal feeling of competence and effectiveness. In the frame of the current study, leadership style was measured with the Multifactor Leadership Questionnaire (M. L. Q. 5x) a tool created by Avolio and Bass (2004) The questionnaire measures different styles of leadership: 1) Transformational, 2) Transactional 3) Passive/ Laissez faire. For the measurement of job satisfaction, the Employee Satisfaction Inventory (E. S. I. was used, a tool created by Koustelios (1991) It includes 24 items which measure six dimensions of job satisfaction: 1. Working conditions, 2. Salary, 3. Promotions, 4. Work itself, 5. Immediate superior and 6. The organization as a whole. The results showed that the levels of job satisfaction among Greek bank employees range from moderate to high, confirming previous findings for the Greek population. In addition, job satisfaction is correlated and can be predicted by leadership style. In particular, the transformational leadership style appeared to be the most highly and positively correlated with key aspects of job satisfaction.
Annual Report to the Nation on the status of cancer, 1975 2010, featuring prevalence of comorbidity and impact on survival among persons with lung, colorectal, breast, or prostate cancer
Venue: Cancer
Year: 2014

The American Cancer Society (ACS) the Centers for Disease Control and Prevention (CDC) the National Cancer Institute (NCI) and the North American Association of Central Cancer Registries (NAACCR) collaborate annually to provide updates on cancer incidence and death rates and trends in these outcomes for the United States. This year's report includes the prevalence of comorbidity at the time of first cancer diagnosis among patients with lung, colorectal, breast, or prostate cancer and survival among cancer patients based on comorbidity level.
Emotional intelligence and stress management in Nursing professionals in a hospital emergency department
Year: 2017

To determine stress levels and to identify if there is a relationship between emotional intelligence and work stress in nurses and healthcare assistants of the Emergency Department.  Observational, descriptive and cross sectional study with a quantitative approach. The population were nurses and healthcare assistants of the Emergency Department of the University Hospital of Ourense. The data were collected between January and May 2016. The tool used was a validated, anonymous, and self administered questionnaire that included the Trait Meta Mood Scale and Moreno's Brief Burnout Questionnaire. The study was approved by the Clinical Research Ethics Committee of Galicia. Descriptive and association analyses were performed using the SPSS 15.0 statistics programme.  A total of 60 professionals participated, of whom 36 were qualified nurses and 24 were auxiliary nurses. The response rate was 68.1% The results showed a deficiency in emotional care, with a score of 22.87, while emotional clarity and reparation of emotions were situated within normal levels, with values of 26.42 and 26.60, respectively. The burnout levels of the sample were medium high. The mean score in the depersonalisation dimension was 8.05, whereas emotional fatigue obtained a mean of 6.90, with a value of 7.50 for professional fulfilment. Significant positive correlations were found between the employment situation and emotional clarity (r 0.276; p 0.033) and between the latter and personal fulfilment (r 0.277; p 0.032) and organisation (r 0.316; p 0.014)  Nurses and healthcare assistants of the Emergency Department showed medium high average levels of burnout, with depersonalisation being the symptom that reflects the highest values. Emotional Intelligence is related to work stress and, specifically, the understanding of one's own emotional states influences personal fulfilment. Professionals with more job stability show a better capacity to feel and express their feelings.