nils-herrmann/clean_scirepeval huggingface dataset:
Modern selection criteria for procurement methods in construction

The purpose of this paper is to present a comprehensive literature review that seeks to address modern factors worldwide that are associated with the selection of current procurement methods. The aim is to develop an up to date multi attribute procurement decision making chart for selecting the appropriate method for the project.  Stage 1 (literature review) The search engines, Emerald; Business Source Premier; Science Direct and Sage were selected to identify journals that have published the most procurement methods related articles. The search covered the period 1980 2015. Stage 2 (Survey) after analyzing and appraising the literature, an up to date utility decision making chart for selecting the appropriate procurement method for the project was developed. The chart was based on findings from a survey that included 57 construction professionals and who have demonstrated sound experience about the various procurement options.  There is no one best procurement method for all projects. The selection depends on the nature of the issues or problem at hand. Decision making is not a punctual act. It is often a complex process. Effective decision making also demands quality and timely information, and a careful consideration of alternatives. The multi attribute decision making chart presented in this paper has included modern criteria and the client would have end up with different recommendations and consequences should these criteria were not included in priority weightings.  The literature review provides states of the art research in the field of procurement methods in construction and the multi attribute chart is intended to offer decision makers an opportunity to broaden their horizon on the different alternatives procurement routs that could lead to different consequences.  To the best of the authors' knowledge, very few publications have discussed modern selection criteria for procurement methods in construction under one study. Therefore, this paper has established a platform for scholars and researchers to obtain more useful insights into procurement methods concerns. It has identified research trends in procurement methods which may allow industrial practitioners to appreciate the key concerns in their development of modern concepts and principles such as supply chain, lean construction, sustainability, innovation, value engineering, e procurement and Building information modeling. The inclusion of these modern criteria will present and add value to procurement decision makers within the construction industry.
Assessment of Procurement Methods Based on Clients Selection Criteria in Ogun State, Nigeria

One of the reasons given for the poor performance of the construction industry is the use of inappropriate procurement arrangements. Thus, the selection of an appropriate method is critical to construction projects' success. This paper therefore examined the procurement methods adopted by clients in Ogun state, Nigeria and determined the criteria influencing their adoption. Structural questionnaire were administered on 50 project participants out of which 40 copies were found to be suitably completed and used for data analysis. Statistical techniques like mean score, frequency counts and percentages were used to present and analyse the data. The results showed that Traditional Contract was still the preferred method in Nigeria by both public and private clients while Direct Labour was preferred by private individual clients. The major criteria desired by clients for selecting Traditional Contract method were clients' familiarity and ability of the method to offer competitive bids. Similarly, Design and Build was mostly desired when time is of the essence, when early start on site is required, for projects with high level of technicality and sensitivity and for risk avoidance. Management Contracting was mostly desired for quality assurance and to enhance responsibility of the building team.
An accelerated adaptive overcurrent protection for distribution networks with high DG penetration

Distributed generation (DG) technology has been rapidly developing and the DG penetration level is becoming higher and higher in power system distribution network in recent years. Due to the access of multiple distributed generators, the traditional instantaneous overcurrent protection may fail to coordinate with each other. In order to solve this problem, this paper studies the fault characteristics of distribution network with high DG penetration and analyses the effect of voltage to protection during faults. Based on the existing adaptive instantaneous overcurrent protection, this paper introduces a voltage acceleration factor, which improves the coordination between protection devices. The 10kV distribution network is used to validate this algorithm. Simulation results demonstrate that the proposed adaptive instantaneous overcurrent protection is efficient.
Impact of Work Life Balance Features in A Hospital Setting

Turnover rates and motivation levels of employees have been increasing which is partially the result of increasing competitive pressures and higher productivity expectations. Improving employee retention is not only a difficult challenge to the management but also for the complete private hospital sector in Kuwait. This work examines the factors affecting the Quality of Work life at hospital before and after the adoption of Work Life Balance Features including Training to Senior Officials. The survey was conducted across the entire organization and covered all position categories. There were 321 responses out of a total of 720 employees. The main issues identified in the survey included work life balance policies, general wellness, stress, time management and work schedules. The need for the organization to recognize the importance of a work/life balance was mentioned throughout the survey. Flexible work arrangements for staff were cited in order to provide them greater ability to manage their work/life needs. Respondents noted that Supervisors and Managers need to be sensitive to work/life issues while developing policies for balancing work/life issues. Providing workshops on stress management and fitness/exercise will benefit employees who report a high level of interest in these subjects. There was greater response to the survey from female employees and this indicates that work/life issues impact female employees to a greater extent, as women have traditionally taken on more of the caretaking responsibilities. The work life balance initiatives introduced are believed to result in gains and can affect the bottom line positively. The number of work life balance programs initiated in a Hospital in Kuwait post survey aims to reduce absenteeism, reduce turnover, increase productivity, reduce overtime costs and retain employees.
Spatial health risk assessment and hierarchical risk management for mercury in soils from a typical contaminated site, China
Venue: Environmental Geochemistry and Health

Due to rapid urbanization and the implementation of ecological civilization construction in China, many industrial factories have been closed or relocated. Therefore, numbers of contaminated sites were generated with contaminated soils which may pose a risk to receptors living nearby. This study presented a spatial health risk assessment and hierarchical risk management policy making for mercury (Hg) in soils from a typical contaminated site in the Hunan Province, central China. Compared with the second class value (0.3 mg/kg) of the Chinese Environmental Quality Standard for Soils, the mean concentrations of Hg in the three soil depths exceeded the second class value. The non carcinogenic risk of Hg probably posed adverse health effects in 41, 30 and 36 of the surface soil, the moderate soil and subsoil, respectively, under a sensitive land scenario. The non carcinogenic risk temporarily posed no adverse health effects in most areas under an insensitive land scenario except for the area around sampling site S29. Spatially, the central, southwest and northeast parts of the contaminated land under a sensitive land scenario should be regarded as the priority regions. For non carcinogenic effects, the exposure pathways that resulted in the higher levels of exposure risk were ingestion and inhalation of vapors, followed by dermal contact and inhalation of particles. A risk based integrated risk management policy including the hierarchical risk control values for different soil depths and the calculated remediation earthwork was proposed with consideration of the cost benefit effect for the related decision makers.
Multiphase flow analysis of hydrodynamic journal bearing using CFD coupled Fluid Structure Interaction considering cavitation

In this study, a fully three dimensional CFD analysis and multi phase flow phenomena, has been successfully implemented for simulation of hydrodynamic journal bearing considering the realistic deformations of the bearing with Fluid Structure Interactions (FSI) along with cavitation. Mixture model is used to model cavitation in the bearing and parametric modelling is used for modifying the flow domain due to deformation. Both systems are coupled and design optimization based on multi objective genetic algorithm (MOGA) is used to obtain optimized solution of the attitude angle and eccentricity for the combination of operating speed and load. In the study of bearings with and without effects of cavitation, it is observed that maximum pressure values drop when cavitation is considered in the bearing. Also there is decrease in maximum pressure when elastic deformation in the bearing is considered. The oil vapour distribution goes on increasing with the increase in shaft speed, thus lowering the magnitude of the pressure build up in the bearing. Multiphase study of bearings with cavitation hence becomes extremely important in case of bearings operating with higher speeds. The experimental data obtained showed very good agreements with numerical results and considerable reduction in computation time is observed.
Modelling of In Nozzle Cavitation and Early Spray Breakup Using a Multiphase Volume of Fluid Method

A compressible, multiphase Volume of Fluid Large Eddy Simulation is implemented in the OpenFOAM environment. The volume fraction transport equations for liquid, vapour and gas phases are reformulated to include phase change source terms. These terms are modelled with the cavitation model by Schnerr, which is extended to eliminate non physical mass transfer rates. The numerical method is validated by comparing the simulated mass flow rates, pressure and liquid volume fraction distributions at different cavitation conditions against published experimental data. Favourable comparison between simulations and experiments is achieved with minor discrepancies attributable to uncertainties in fuel properties and assumptions made in numerical models. The application of the code to simulation of in nozzle phenomena and primary breakup of the spray injected from a sharp edged nozzle reveals that in nozzle flow separation, wall shear and cavitation contribute largely to the fragmentation of the jet.
Plasma Markers of Oxidative Stress in Patients with Gestational Diabetes Mellitus in the Second and Third Trimester
Venue: Obstetrics and gynecology international

To determine plasma markers of oxidative stress during the second and third trimester of pregnancy in patients with gestational diabetes mellitus (GDM)  We conducted a prospective nested case control study involving 400 pregnant women, 22 of whom developed GDM. As control group, 30 normal pregnant women were chosen randomly. Plasma samples were analyzed for 8 iso prostaglandin F2a (8 iso PGF2a) advanced oxidative protein products (AOPPs) protein carbonyl (PCO) glutathione peroxidase 3 (GPX 3) and paraoxonase 1 (PON1) at 16 20 weeks, 24 28 weeks, and 32 36 weeks of gestation.  Compared to control subjects, the plasma levels of PCO, AOPPs, and 8 iso PGF2a were elevated at 16 20 weeks' and 32 36 weeks' gestation in GDM. There was no significant difference in PCO and 8 iso PGF2a at 24 28 weeks in GDM. GPX 3 was statistically significantly increased at 16 20 weeks and 32 36 weeks in GDM. PON1 reduced in patients with GDM. No significant differences were found at 24 28 and 32 36 weeks between the GDM and control groups. In GDM, PCO, AOPPs, and 8 iso PGF2a levels were higher and GPX 3 and PON1 levels were lower in the second than the third trimester.  Oxidation status increased in GDM, especially protein oxidation, which may contribute to the pathogenesis of GDM.
Serum Levels of Oxidative Stress Markers in Patients with Type 2 Diabetes Mellitus and Non alcoholic Steatohepatitis
Venue: Romanian journal of internal medicine Revue roumaine de medecine interne

Oxidative stress is one of the key mechanisms responsible for disease progression in non alcoholic fatty liver disease. The aim of this study was to evaluate the serum levels of oxidative stress markers in patients with type 2 diabetes mellitus (DMT2) and non alcoholic steatohepatitis (NASH) and test their relationships with clinical and biochemical patient characteristics, compared to patients with DMT2 without non alcoholic fatty liver disease (NAFLD) and controls.  In all, 60 consecutive patients with DMT2 and NASH, 55 with DMT2 without NAFLD, and 50 age and gender matched healthy subjects participated in the study. The serum levels of protein carbonyls and 8 isoprostane were determined by ELISA methods, while the serum levels of malondialdehyde (MDA) were detected by means of the spectrophotometric method. Clinical, demographic, and laboratory parameters were examined for all the subjects included in the study. Multivariate logistic regression was used to test the independent predictive factors in the relationships investigated here.  Patients with DMT2 and NASH displayed significantly higher serum levels of protein carbonyls (1.112 0.42 nmol/dL) MDA (6.181 1.81 ng/mL) and 8 isoprostane (338.6 98.5 pg/mL) compared to patients with DMT2 without NAFLD, and controls. Results of multivariate logistic regression analyses indicate that in patients with DMT2 and NASH, the serum levels of oxidative stress markers were independently and positively associated with: HbA1c, duration of diabetes, the UKPDS cardiovascular risk score (for protein carbonyls) age, LDL cholesterol (for 8 isoprostane) and triglycerides serum levels (for MDA)  Our findings indicate that the process of oxidative stress tends to increase in patients with DMT2 and NASH, compared to patients with DMT2 without NAFLD, and controls. This evidence suggests that an antioxidant therapy might prove useful in the treatment of patients with DMT2 and NASH.
Optimization of drilling parameters for fiber metal mesh laminate composites using Grey relational analysis

Fiber metal laminate (FML) composite materials are an economical alternative to engineering materials because of their superior properties. While assembling these composites, drilling is unavoidable. Drilling of such materials is a difficult task because of the drilling induced damage. Reducing this damage requires an optimization of the drilling parameters. The main focus on the optimization of the process parameters in drilling of fiber metal mesh laminate (FMML) composites lies in the application of the Taguchi procedure with Grey relational analysis (GRA) In the respective drilling experiments, coated drills were used for the FMML which was specially made with stainless steel wire mesh (SSWM) in the middle layer and woven glass fiber on top and on bottom layer using vacuum bag molding. The drilling parameters such as point angle, spindle speed and feed rate were optimized with concern of multiple performance characteristics, such as thrust force, delamination factor and roundness. The results of the GRA indicate that the feed rate is the most influential parameter. The experimental results illustrate that with the help of the optimal drilling conditions, the machining performance in the complete composite component production process can be improved.
Adaptive Bandwidth Allocation for Virtual Network Embedding in Optical Data Center Networks
Venue: 2016 IEEE 41st Conference on Local Computer Networks (LCN)

Wavelength division multiplexed optical networks have become an attractive candidate to meet the ever growing traffic demands in cloud data centers due to the features of large capacity and dynamic reconfiguration capability. While the bandwidth does not affect the makespan of compute intensive and content delivery network applications, it has an impact on data intensive applications that therefore require guaranteed bandwidth beside computing and storage resources for predictable performance. Motivated by this, we consider the problem of dynamically adjusting bandwidth so as to increase the acceptance of virtual networks embedded in optical data centers. We first develop an optimization programming formulation for the problem. We then develop a heuristic algorithm that efficiently embeds and adaptively allocates bandwidth to virtual networks such that the applications complete and release resources for future requests. We evaluate our algorithm through extensive simulations. The results show that our algorithm outperforms baseline algorithms by reducing rejections by up to 25%
Virtual network embedding for power savings of servers and switches in elastic data center networks
Venue: Science China Information Sciences

Currently, the elastic interconnection has realized the high rate data transmission among data centers (DCs) Thus, the elastic data center network (EDCN) emerged. In EDCNs, it is essential to achieve the virtual network (VN) embedding, which includes two main components: VM (virtual machine) mapping and VL (virtual link) mapping. In VM mapping, we allocate appropriate servers to hold VMs. While for VL mapping, an optimal substrate path is determined for each virtual lightpath. For the VN embedding in EDCNs, the power efficiency is a significant concern, and some solutions were proposed through sleeping light duty servers. However, the increasing communication traffic between VMs leads to a serious energy dissipation problem, since it also consumes a great amount of energy on switches even utilizing the energy efficient optical transmission technique. In this paper, considering load balancing and power efficient VN embedding, we formulate the problem and design a novel heuristic for EDCNs, with the objective to achieve the power savings of servers and switches. In our solution, VMs are mapped into a single DC or multiple DCs with the short distance between each other, and the servers in the same cluster or adjacent clusters are preferred to hold VMs. Such that, a large amount of servers and switches will become vacant and can go into sleep mode. Simulation results demonstrate that our method performs well in terms of power savings and load balancing. Compared with benchmarks, the improvement ratio of power efficiency is 5% 13%.Chuang Xin Dian Ben Wen Jiang Kao Lu Liao Fu Zai Jun Heng De Xu Ni Wang Luo Qian Ru Neng Xiao Wen Ti Chou Xiang Cheng Shu Xue Mo Xing Bing Ti Chu Liao Yi Chong Zong He Kao Lu Fu Wu Qi He Jiao Huan Ji Neng Hao De Lu Se Xu Ni Wang Luo Qian Ru Suan Fa Li Qiu Jiang Xu Ni Ji Ying She Dao Bi Ci Wu Li Ju Chi Geng Jin De Fu Wu Qi Zhong Bing Gen Ju Lian Lu Pin Pu Xin Xi He Jiao Huan Ji Dang Qian Neng Hao She Zhi Lian Lu Dai Jie Yi Zhi Dao Xu Ni Lian Lu Jin Xing Jie Neng Xing De Ying She Tong Guo Da Liang Fang Zhen Ben Wen Zheng Ming Liao Suo Ti Chu Suan Fa Zai Jie Neng He Fu Zai Jun Heng Fang Mian De You Shi
Employee Engagement for Sustainable Organizations: Keyword Analysis Using Social Network Analysis and Burst Detection Approach

The issue of sustainability is a vital long term goal for organizations and as such has formed the basis of much academic research over the last two decades. Organizational sustainability is defined as the ability for an organization to accomplish a range of economic, environmental, and human performance objectives. As one of the most studied topics in organizational science, employee engagement at work is seen as a critical component to achieving sustainable organizational success. In order to better understand the employee engagement discourse, this study examined the keywords that appear in the titles and abstract of the employee engagement research domain using the burst detection and social network analysis techniques. A total of 1406 employee engagement relevant articles that were published from 1990 to 2015 were included and investigated in the study. The results revealed the fading, emerging, and central themes within the employee engagement domain.
Combining natural language processing and network analysis to examine how advocacy organizations stimulate conversation on social media
Venue: Proceedings of the National Academy of Sciences

Social media provide potent opportunities for advocacy organizations to shape public debates because of the rapidly increasing number of people who frequent such forums each day. However, social scientists have not yet explained why some advocacy organizations create large scale public debate whereas most others do not. Using automated text analysis and a Facebook application, I found that advocacy organizations are more likely to stimulate conversation if they produce messages that link discursive themes that are usually discussed in isolation from each other. Such messages not only resonate with multiple audiences, but also put such audiences in conversation with each other. This manuscript thereby contributes a theory of public deliberation on social media for the emerging field of computational social science. Social media sites are rapidly becoming one of the most important forums for public deliberation about advocacy issues. However, social scientists have not explained why some advocacy organizations produce social media messages that inspire far ranging conversation among social media users, whereas the vast majority of them receive little or no attention. I argue that advocacy organizations are more likely to inspire comments from new social media audiences if they create "cultural bridges," or produce messages that combine conversational themes within an advocacy field that are seldom discussed together. I use natural language processing, network analysis, and a social media application to analyze how cultural bridges shaped public discourse about autism spectrum disorders on Facebook over the course of 1.5 years, controlling for various characteristics of advocacy organizations, their social media audiences, and the broader social context in which they interact. I show that organizations that create substantial cultural bridges provoke 2.52 times more comments about their messages from new social media users than those that do not, controlling for these factors. This study thus offers a theory of cultural messaging and public deliberation and computational techniques for text analysis and application based survey research.