Miracle-dz/UniFAR-FTUs huggingface dataset:
Exergy analysis of development on supercritical CO2 solar Rankine cycle system with thermally driven pump

Abstract The innovative development of a thermally driven pump in the supercritical CO2 solar Rankine cycle system has been carried out and investigated to increase the system efficiency in field operation. To confirm the advantage of the thermally driven pump over conventional mechanical feed pump, the energy and exergy analysis of the system is investigated and discussed. It can be confirmed from the analysis that the thermally driven pump operating under an actual climate condition gives the higher exergetic efficiency in output power to the system compared with the mechanical feed pump. On the contrary, the high rate of exergy destruction is found in the evacuated solar collector under both system conditions. To increase the exergetic efficiency and to prevent the destruction rate, the proper components design, which can be considered as the essential factor to develop the higher performance system, are suggested in the present study.
Homogeneity Tests against Central-Mixture Alternatives

Abstract A test of homogeneity is derived for a general sampling model. The alternative hypothesis is a mixture over a parameter of the sampling model, centered at the null hypothesis. The test statistic is derived through a score test. Its functional form is independent of the particular mixing distribution. Suppose Yi (i = 1, …, n) are independent random variables with respective probability density (or mass) functions fi (yi ‖ λi). Under the null hypothesis, suppose all λ i homogeneous and equal to the common value λ0. Under the alternative hypothesis, suppose the λ i behave as random samples taken from a distribution with mean λ0 and finite third moment. The score statistic for testing these hypotheses rejects the null for large values of , where is the maximum likelihood estimate of λ0 under the null hypothesis and . When the sample size n is large, S is normally distributed under both the null hypothesis and a sequence of alternative hypotheses in which the variance of the mixing distribution tends .
Detection of three virulence genes and antibiotic resistance profiles in Escherichia coli isolates from commercial broilers with colibacillosis in Tabriz , Iran

Colibacillosis caused by Escherichia coli is one of the most common diseases in commercial broiler chickens, which is associated with a significant financial loss in the poultry industry due to morbidity, mortality and high costs of antibiotic overuse. Diseases caused by E. coli mostly present as secondary or opportunistic pathogens, while certain strains of these bacteria with specific virulence factors could act as primary pathogens. This study aimed to detect three virulence genes and determine antibiotic resistance profiles in the E. coli isolates of commercial broilers with colibacillosis in Tabriz, Iran using multiplex polymerase chain reaction (PCR) and disc-diffusion method, respectively. According to the results, out of 71 bacterial isolates, 38 (53.5%), 25 (35.2%) and 35 cases (49.3%) carried the iron-repressible protein (irp2), pyelonephritis-associated pili (papC) and temperature-sensitive hemagglutinin (tsh) genes, respectively. Moreover, 16 isolates contained the irp2 gene only, eight isolates had the papC gene only, 13 isolates carried the tsh gene only, and 12 isolates lacked all the three genes. In 39 isolates, 2-3 genes were identified simultaneously. In this study, most of the isolates were resistant to enrofloxacin, doxycycline, sultrim, erythromycin and danofloxacin, while they were sensitive to colistin only. Frequency of the isolates susceptible to fosfomycin, neomycin and florfenicol was 45.9%, 45.2% and 48.3%, respectively. Therefore, it could be concluded that high rate of antibiotic resistance and prevalence of some important virulence genes in avian pathogenic E. coli isolates might be a serious hazard for the poultry industry and public health.
Evaluation of Postoperative complaints and satisfaction status of patients after undergoing laparoscopic cholecystectomy at a teaching hospital of Pakistan

This study was performed to evaluate the complaints of patients during first 24 postoperative hours and the satisfaction status of patients after undergoing laparoscopic cholecystectomy (LC) in surgical units of Bahawal Victoria Hospital. Methodologically this prospective cross-sectional study was performed using a structured questionnaire containing 10-items, for a period of 6 months (Nov 2013-Apr 2014). Subjects were selected via convenience sampling technique and IBM SPSS® (v. 21) was used for statistical analysis. In total n=127 patients undergone laparoscopic cholecystectomy during this study period. Male to female ratio was 1:3.70. Mean age of patients was 44.49 years (±15. 33). 86.61% patients were below 60 years of age. Every patient was suffering from mean 2.09 complaints. Reported complaints were abdominal pain (32.71%), shoulder pain (24.06%), headache (18.80%) and fatigue (24.40%). A p-value of less than 0.05 was observed for pain complaints between gender variables. Satisfaction scale revealed that 64.6% of patients were satisfied from behavior of health professionals and 75.6% were satisfied with the treatment provided. However, 70.9% patients were unsatisfied from hospital facilities. Though LC is an advanced procedure still numerous patients were suffering from different unprivileged postoperative complaints. In western countries LC is performed as an ambulatory procedure, but still being practiced as an inpatient procedure in Pakistan. More research by multidisciplinary team on multimodal pain management is required for making cost-effective interventions that will decrease pain complaints and escalate the satisfaction status of patients. Keywords : Cholelithiasis, Laparoscopic, Cholecystectomy, Pain, Shoulder Pain, Postoperative Pain, Patient Satisfaction
Ethnic Group Representativeness and the Effect on Political Conflict

Abstract. This paper looks at the relationship between the underrepresentation of ethnic minority groups in governments and the effect on violence and conflict that is initiated by these groups. Ethnic minority groups that are underrepresented in political decision-making are likely to express their opinions outside of the political routine, by means of conflict. Three potential determinants of representation are analyzed. An increase in the effective number of parliamentary parties is expected to lead to more ethnic groups being represented and thus to a decrease in conflict. A more proportional electoral system or electoral type should lead to more parties in parliament and to a more proportionate depiction of society, thus including ethnic minority groups more adequately and decreasing conflict. An increase in the share of seats of parties classified as ethnic relative to the share of the population held by ethnic groups, the share ratio, yields more proportional representation and should therefore also result in less conflict. Empirical analysis of a sample of 52 countries consistently supports the predictions regarding the share ratio, while the rest of the theory cannot be supported reliably. The results should be evaluated with caution due to an apparent mismatch between ethnic groups and ethnic parties.
Modelling study of MQW LED operation

Operation of multiple-quantum-well (MQW) light emitting diode (LED) heterostructures with selective barrier doping is studied by modelling. The carrier confinement in the MQW LEDs and the effects of barrier doping on the emission efficiency and wavelength stability is examined in detail. The simulations predict improvement of the LED performance by heavy n-doping of the MWQ barriers. The theoretical predictions are compared with available experimental data. (© 2005 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)
Design Features for the Content Analysis of a State Assessment and NAEP.

This paper presents an overview of the design features that were developed for the Content Analysis Project. The purpose of the project was to examine the congruence between a state's test in eighth-grade mathematics and that used by the National Assessment of Educational Progress. The results of this analysis were then to be used to determine whether the identified differences between the state assessment and the NAEP were sufficient to account for the magnitude of the differences between proficient performance on the two tests. A second purpose was to develop a model process states could use to compare their frameworks and assessments to NAEP in mathematics and in other content areas, such as reading and science. The paper presents details about three design features of the comparison study: (1) the use of expert judgment; (2) the importance of viewing the test from multiple perspectives; and (3) the implementation of a multiphase process for comparing the tests. Some of the limitations of the study are outlined. An appendix summarizes the phases of project development. (Contains 20 references.) (Author/SLD) Reproductions supplied by EDRS are the best that can be made from the original document. Design Features for the Content Analysis of a State Assessment and NAEP Patricia Ann Kenney and Edward A. Silver Learning Research and Development Center University of Pittsburgh U.S. DEPARTMENT OF EDUCATION Ottice 0 Educational Research and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) This document has been reproduced as received from the person or organization originating it. Minor changes have been made to improve reproduction quality. Points of view or opinions stated in this document do not necessarily represent official OERI position or policy. Preparation of this paper was supported by a contract to the University of Pittsburgh's Learning Research and Development Center from the National Assessment Governing Board. Any opinions expressed herein are those of the authors and do not necessarily reflect the views of the Board. This paper was presented at the 1998 Annual Conference of the American Educational Research Association, Montreal, Quebec, Canada.
Attention training in attention deficit hyperactivity disorder

Pharmacological treatment of children with attention deficit hyperactivity disorder (ADHD) has been shown to be successful. However, children with ADHD on medication may still show attention deficits. We have assessed the effect of attention training on attention measures in children with ADHD. These children were randomly assigned to one of two conditions, i.e. an attention training which trained aspects of vigilance, selective attention and divided attention or a visual perception training which trained perceptual skills. They received eight individual training sessions over a period of four weeks. A group of control children did not receive any training. Vigilance, selective attention, divided attention and flexibility were assessed before and after the trainings. ADHD children were assessed and trained on medication. The attention training led to improvements of various aspects of attention, including vigilance, divided attention and flexibility, while the visual perception training showed no effects. These findings indicate that attention training pro
The Effect of Forced Choice with Constant Choice Experiment Complexity

In this analysis we compare WTP estimates of responses separately modelling choice sets of forced choices from those of unforced choices in order to measure the effect of forced choice in Choice experiment. This comparison is done while still maintain constant task complexity and evaluated in WTP space. We find evidence to suggest that individual WTP are different in forced and unforced choice sets and in joint tests for parameter equality.
Spatial scaling from latitudinal gradients: size‑specific fecundity in the American lobster Homarus americanus

Estimates of key population parameters are required to evaluate conservation or management measures, but are often available at only a few locations within the range of a species. We assembled all available estimates of a single parameter (fecundity as a function of size) in the lobster Homarus americanus to develop a large-scale model applicable throughout the species' range. In this species, a 2-parameter power function, F = aL b , is used to describe the rela- tionship of fecundity F to carapace length L. There was a well-defined latitudinal gradient in the allometric (power law) exponent b, with the smaller values at the northern end of the species' range. The allometric exponent b decreased at a rate of 8.6% per degree of latitude, from southern New England to the northern end of the range (Newfoundland). The scaling factor a increased at a rate of 491 eggs per degree of latitude, as estimated at a carapace length of 85 mm. Fecundity can be estimated from this large-scale model at any location throughout much of the species' range. Data archiving allows re-estimation of parameters when better methods become available, and also allows large-scale models of population parameters to be developed.
Interactive comment on “Mesozooplankton structure and functioning in the western tropical South Pacific along the 20 parallel south during the OUTPACE survey (February–April 2015)” by

GENERAL COMMENTS The present manuscript is part of the OUTPACE Experiment, a multidisciplinary effort to study the functioning of the western tropical South Pacific ecosystems and associated biogeochemical cycles. In that sense, the work presented by Carlotti et al. matches the scope of Biogeochemistry, since it includes the description of the mesozooplankton compartment as part of the studied ecosystems. It presents valuable information about mesozooplankton abundance, diversity and biomass, including a stable isotope analysis and estimations of carbon demand, grazing impact and zooplankton excretion rates in a poorly studied area, adding value
Vehicle detection and road scene segmentation using deep learning

There has been significant progress in applying deep learning techniques to computer vision problems for perception scenarios, specifically for autonomous driving. This thesis explores many of these techniques and presents a detailed analysis of how deep learning tools can be used to perform computer vision for self driving vehicles. It is an attempt to replicate concurrent research work, while discussing the advantages and disadvantages of different approaches. The thesis also combines different methods and components, and presents a custom vehicle detection approach. The approach is based on generating a spatial grid of classifications, and then regressing bounding-boxes for pixels with a high object confidence score. The custom detection approach was tested on the KITTI object detection benchmark, and was able to successfully detect objects of varying scale, lighting conditions and orientation. Additionally, an analysis of semantic segmentation techniques that use deep learning is presented, and a few hand-picked approaches from literature are evaluated and compared. One of the approaches is replicated and tested on the Cityscapes benchmark for pixel level semantic segmentation. Detailed discussion and insights into future work are presented, which could be interesting for both academia and industry, especially in the area of deep learning and autonomous systems.
Economic Development and Intergenerational Earnings Mobility: Evidence from Taiwan

How economic development affects intergenerational earnings elasticity is not well-documented. In this paper, we estimate intergenerational earnings elasticities between fathers and sons in two periods. In the current period, 2005–2010, Taiwan is already a developed economy with slower economic growth. We apply the two-sample approach developed by Bjorklund and Jantti (1997) and find that intergenerational earnings elasticity is around 0.4–0.5 in this period. In the earlier period, 1990–1994, Taiwan was still a developing economy with fast economic growth. We mimic the Bjorklund-Jantti two-sample approach and use average earnings by occupation as a proxy for fathers’ earnings. To quantify potential bias, we apply the same method to the 2005–2010 data. Our proxy method yields similar estimates in both the early 1990s and late 2000s. These results suggest stable intergenerational transmission of economic status in Taiwan, despite its rapid economic development.
Empirical Aesthetics and the Philosophy of John Cage: A Literature Review and Experimental Study

This paper examines the musical philosophy of composer John Cage in terms of psychological theories and experimental design. A literature review was first conducted to extract testable hypotheses from Cage’s musical works, writings, and interviews relevant to theories and research in empirical aesthetics. A study was then devised to examine the relationships between cognitive appraisals of the interestingness, enjoyableness, orderliness, and musicality of general sound events, as well as to determine the influence of openness to experience and the effect of two intentional-listening strategies, inspired by Cage’s ideas, on these relationships. Participants (n = 21) completed an openness to experience questionnaire, listened to 20 sound recordings, and responded to each sound on a cognitive appraisal form. Participants were also randomly assigned to one of three groups (n = 7) and were encouraged to adopt one of two intentional listening strategies, or no strategy, depending on assignment. The analysis found significant relationships for interestingness, enjoyableness, and orderliness in predicting musicality, though scatter plot distributions suggest that orderliness is less essential to musicality than interestingness and enjoyableness. Openness to experience was found to be insignificant for all appraisals and relationships, as were the listening strategies, with one exception: appraisals of interestingness were found to decrease as a result of adopting a Cage-inspired listening strategy, though the validity of this result is suspect.
Lipid class and fatty acid composition of meat and nonmeatcomponents of selected seafoods

Lipid extracts from meat, head and processing waste of selected Indian seafoods, viz . , tuna, seerfish and shrimp wereanalyzed for lipid class distribution and fatty acid profile. Total lipid (TL) content was in the range of 18.8–30.1% in head,10.34-25.23% in meat and 8.3-14.4% in waste, on dry weight basis. The highest TL was in seerfish head (30.10 %) andleast in shrimp meat (25.23%). Neutral lipids (NL) were the dominant lipid class with highest being in head portions of theanalysed samples (74.5-79%). Docosahexaenoic acid (DHA) was found in concentrations as high as 41.6% of total fattyacids in the phospholipids (PL) fraction of tuna meat. The present study highlights the utility value of marine by-productsas a potential source of essential fatty acids like eicosapentaenoic acid (EPA) and DHA.
Collective Learning and Socialization During the Ecological Transition : the case of organic and biodynamic wine producers of Côte de Beaune

Wine producers facing the transition to organic farming rely widely on networks of informal advice sharing among peers. Limited attention has been paid so far to the impact of actors’ values on collective learning, although the literature shows that they play a role both in the ecological transition (LAMINE et al., 2009) and in advice seeking (NAHAPIET et al., 1998). This paper explores the effect of actors’ ecological values on a complete advice network within a professional milieu of over 60 organic and biodynamic wine producers in Burgundy Region, France. Using exponential random graph models, the analysis takes into account not only wine producers’ ecological values, but also their broad relational context including triadic sub-structures such as transitivity and the existence of pre-existing relations that may have an influence on the advice network. Wine producers’ values stand out as driving the selection of advisers. Two simultaneous collective learning processes are identified: the first one is characterized by the collaboration of experienced wine producers that share common ecological values, and the second one by the interactions among these experienced producers and the novices. This second learning process is coupled with a socialization mechanism aiming at transmitting the milieu’s social norms.
Sentiments classification in stock network public opinion space based on long-shortmemory convolution neural network

Deep learning is used to deal with natural language processing problems. Some are based on phrases and some are based on words. This article is inspired by the pixel level in the CV world and therefore retrains the neural network from a character perspective. Neural networks do not need to know about word lookup table or word2vec in advance, and the knowledge of these words is often high-dimensional and it is difficult to apply to convolutional neural networks. In addition, our long-short term memory convolutional neural networks no longer need to know the syntax and semantics in advance. The purpose of this paper is to analyse the investor's psychological characteristics and investment decision-making behaviour characteristics, to study the investor sentiment in the network public opinion space.
Development of an engineering change management capability framework for enterprise transformation

With the current financial crisis focus of product development in industry has centred on efficient variant development and increasing the utilisation of existing products and platforms. Together with this change in focus the handling of engineering changes has grown in importance. Several studies however document a slow and inefficient handling of engineering changes, indicating a general low maturity of this area in industry, e.g. (Sharafi et al., 2012), (Huang, Yee & Mak, 2003). Although a noticeable amount of work has been published on engineering change, the literature, as highlighted by Jarratt et al. (2011) in a recent extensive literature review, overwhelmingly points to the need for more comprehensive guidance in how engineering changes can be handled more efficiently. This paper seeks to address this gap using a capability perspective. Based on literature review and a case study, the process areas especially important to develop capabilities within to ensure an efficient change handling are identified, and an ECM capability framework is proposed. This paper thus enables further research to focus on clarifying ECM capabilities, maturity levels and levers.
The Effects of Education on Enterprise Resource Planning Implementation Success and Perceived Organizational Performance

The aim of study is to define education activities which must be taken into consideration while implementing successfully the enterprise resource planning (ERP) software package system in the organization. To analyze the effect of education on the implementation success of ERP systems and organizational performance, the data obtained from 236 firms via mail survey were analyzed using regression. Findings obtained from analysis showed that (1) an increase in education activities increased the implementation success of ERP. (2) Education had a significant effect statistically on perceived organizational performance. (3) An increase in the implementation success of ERP increased the organizational performance significantly and (4) when the implementation success of ERP together with education were taken into consideration in explaining the perceived organizational performance; the variables such as the implementation success of ERP, were significantly meaningful.