Miracle-dz/UniFAR-FTUs huggingface dataset:
USING CST AND VOCABULARY LIST APPROACH FOR MULTI DOCUMENT SUMMARIZATION

Multi-document summarization refers to the process of automatic extraction of text from multiple sources which belong to same topic. With the intensification of internet huge amount of data has been engendered day by day. It is quite difficult for everyone to distinguish and summarize this vast information gathered from various sources. Multi document text summarization has solution for this problem. Multi document summarization congregate information from different sources and summarizes the information up to necessary length. Firstly, with the help of cross document structure theory (CST) which is a part of multi document summarization, cross document relations are identified from unprocessed text. After tracking CST relations, sentences are scored by using scoring model and dictionary approach. Experimental results are shown for pre-processing, feature extraction.
Evidence for recovery of a surf-zone fish assemblage following the establishment of a marine reserve on the southern coast of South Africa

This study was designed to establish whether populations of fish species important in the catches of rock and surf anglers increased following the proclamation of the De Hoop Marine Reserve on the southern coast of South Africa Catch per unit effort (CPUE) and size frequency distributions of angling species were monitored approximately monthly by angling from the shore at 2 sites in the reserve. At one site sampling commenced 2 yr before the reserve was established and continued 4.5 yr thereafter, allowing comparisons of periods of exploitation and protection. The other site had a long history of minimal exploitation and data collected there 2 . 5 to 4.5 yr after complete protection was considered to represent an unexplolted condition. Ten species accounted for 99% of the catch. Following establishment of the reserve. CPUE increased for 6 of these (galjoen Coracinus capensis, dassie Diplodus sargus, wildeperd D. cervinus, white steenbras Lithognathus lithognathus, Cape stumpnose Rhabdosargus holubi and musselcracker Sparodon durbanensis) The catch rates of 2 species (C. capensis and D. sargus) improved 4 to 5 fold within 2 yr of protection and remained at these high levels, which were similar to the unexploited catch rates. Recoveries were slower amongst the other 4 species, their catch rates reaching 30 to 60% of the unexploited level after 2 . 5 to 4.5 yr of protection This study provides evidence of general stock recoveries of exploited fish species in a shallow marine habitat following protection within a marine reserve.
Postpartum midwifery care and familial psychosocial risk factors in Switzerland: A secondary data analysis / Hebammenbetreuung im Wochenbett und familiäre psychosoziale Risikofaktoren in der Schweiz: eine Sekundäranalyse

Abstract Introduction Psychosocial resources of parents are vital for the health and development of their children. Families in stressful circumstances should receive early seamless care to strengthen their parental resources. Independent midwives provide ambulant postpartum care in most families in Switzerland, and hence could play an important role in the early assessment and care of families at risk. Methods Comprehensive routine data of Swiss independent midwives were used for secondary analysis. Frequencies of known psychosocial risk factors were derived and compared to other data sources. Group comparisons were made with respect to family characteristics and midwifery care. Results Only some of the considered risk factors are representable in the midwives‘ data. 18.6% of all families have one and 6.25% have multiple such representable risk factors. Immigrant mothers from developing and emerging countries, very young or older mothers and large families are thereby particularly often affected. Burdened families receive more home visits, but have a later onset of ambulant postpartum care. They suffer more often from breast-feeding problems and are more frequently referred to other disciplines. Discussion Independent midwives in Switzerland document some of the known psychosocial risk factors and adapt their care in routine practice. The collection of data with a better coverage of the known psychosocial risk factors, ideally using validated assessment instruments, is recommended, and further research is required for a more in-depth understanding of the current interdisciplinary collaboration and the needs of families and care providers.
An empirical study of the Taiwan National Quality Award causal model

In this study, the Taiwan National Quality Award (TNQA) is discussed in terms of a modelling approach for the first time since it was founded in 1990. A survey instrument involving 105 questions extracted from the 2001 TNQA criteria serves to measure the content of the TNQA. A causal model is proposed to reveal the relationships among TNQA categories. Structural equation modelling (SEM) is used to analyse the model and estimate path coefficients among TNQA categories. The statistical results show that many of the hypothesized causal relationships in the TNQA model are statistically significant. From path coefficients, the category of Leadership has a strong influence on that of Information Management. Simultaneously, Information Management has impacts on other TNQA system categories. Information Management is confirmed as an internal driver of TNQA system categories. Both Leadership and Innovation and Strategic Management show direct influence on Business Results. Generally, several conclusions are made as follows. First, the assumption that the TNQA model is recursive is supported by statistical results. Secondly, the prior theory of this causal model that Leadership is a driver of the system, which creates results is confirmed. Thirdly, the final causal model also represents an excellent model of business performance, which can predict expected results through system paths. Other conclusions and findings are discussed in the study.
Modelo de gestão da inovação : uma revisão de literatura A literature review on innovation management tools

The study of a complex phenomenon such as innovation, influences and effects of which are tangible in manifold contexts, traditionally requires the integration of different levels of analysis and the interaction among distant disciplines. The enterprise appears to be the fundamental agent of economic change; in this context, innovation, by intervening in the sphere of technology, constitutes a fundamental dimension also for social change. In addition, it interacts in the circle of a complex matrix of cultural, economic and institutional factors which are the base of social and economical evolution. In this context, the research questions (RQ) investigated by the authors are: “what is innovation? ” [RQ 1] and “which are the main evolutions of innovation management models? ” [RQ 2]. Literature on this matter has exponentially evolved in recent years. Nevertheless, innovation literature presents a large heterogeneity of results, while the innovation process concept itself is still poorly understood. In order to investigate the first research question, authors review forms and structures of innovation models developed throughout the years. At the end a discussion on the characteristics of literature evolution, through a strength-weakness analysis, is presented by the authors.
On monotone multivalued functions: generating and estimating Dedekind numbers

Monotone multivalued functions have been widely employed in discrete mathematics, multivalued logics and reliability theory, in special its particular case of monotone boolean functions. However, our interest in them came from the kind of monotone cellular automata studied in [1, 2, 3, 4, 7, 8, 9, 10, 11, 12, 13], where monotone multivalued functions play a fundamental role. At first, we present an algorithm that generates random examples of monotone multivalued functions. Our second algorithm provide an estimative for the number of monotone multivalued functions, which shall be called here Dedekind number. Our first algorithm provided examples that were used for testing routines that compute Galperin’s rates [9]. Moreover, it will facilitate the inductive reasoning concerning monotone cellular automata.
Factor Effects on Rural Income Concentration in Brazil

In recent studies it was suggest strong rural income dispersion in Brazil, a fact that was also observed in other countries. In this article, aiming at analyzing the rural income dispersion in Brazil, we fit econometric regression models using the Gini index as the dependent variable, technology, and environmental, social and demographic indices as independent variables. The analysis is performed on a regional basis. The statistical approach uses fractional regression and generalized method of moments (GMM). The technological variable crystallizes the production process. This is a data envelopment analysis measure of technical efficiency. The production process uses county data collected from the Brazilian Agricultural Census of 2006. Technology is significant and dominates the relationship in all regions. The other covariates vary in regional intensity.
A Sharp RIP Condition for Orthogonal Matching Pursuit

and Applied Analysis 3 Therefore, the restricted isometry constant δ K of Φ is (K − 1)/(2K − 1). Now, we turn to calculate the restricted orthogonality constant θ K,1 . In view of (11), we may, without loss of generality, assume that x = (x 1 , . . . , x K , 0, . . . , 0) T and x = (0, . . . , 0, x 󸀠 K+1 0, . . . , 0) T. We have θ K,1 = max 󵄨󵄨󵄨󵄨 ⟨Φx,Φx 󸀠 ⟩ 󵄨󵄨󵄨󵄨 ‖x‖2 ⋅ 󵄩󵄩󵄩󵄩x 󵄩󵄩󵄩󵄩2 = max 󵄨󵄨󵄨󵄨⟨Φx,ΦK+1⟩ 󵄨󵄨󵄨󵄨 ‖x‖2 = max 1 2K − 1 ⋅ 󵄨󵄨󵄨󵄨 ∑ K i=1 x i 󵄨󵄨󵄨󵄨 ‖x‖2
Innovation Behaviour At Farm Level – Selection And Identification

Using a squential logit model and a mixed-effects logistic regression approach this empirical study investigates factors for the adoption of automatic milking technology (AMS) at the farm level accounting for problems of sequential sample selection and behaviour identification. The results suggest the importance of the farmer’s risk perception, significant effects of peer-group behaviour, and a positive impact of previous innovation experiences.
International Conference on Electricity Distribution Prague , 8-11 June 2009 Paper 0987 LOOSELESS ENCODINGS AND COMPRESSION ALGORITHMS APPLIED ON POWER QUALITY DATASETS

In this paper we are presenting behaviour of various encodings and lossless compression methods for data stores of power quality measuring campaigns and the achieved results with different generated and real datasets. The main purpose of this work is to ease the selection of an optimal encoding for a typical power quality data in the measuring device. The most important criteria for selecting of an optimal method are a compression ratio, its stability, reliability and fitness of such algorithm for an embedded platform with limited memory and computational power. The implemented benchmarking system is designed to be modular so that each part of it can be separately modified or completely replaced while still the whole system is delivering comparable results. Our target platforms are a resource limited, micro-controller based devices so the most attention was paid to choose an algorithm performing sufficiently with reasonable requirements. The experiments have been performed on different artificial and real data from our measuring campaigns.
Comparison of work motivation in camp supervisors and camp counselors in Greek private camps

This study evaluated the effects of a 12-week outdoor recreational exercise program on functional capacity of 45 sedentary seniors, ranging in age from 60 to 75 years. The variables, measured using a Likert scale, were twenty of the most habitual daily movement activities among elderly. Subjects were allocated to one exercise group (n= 30) and one control group (n=15). Exercises were performed for one hour twice a week for the experimental group, whereas the control group did not participate in any kind of exercises. Subjects were pre and post-tested for the selected variables. Significant differences (p<. 05) were found between exercise and nonexercise groups. The main effects of the training program were significant for most of the variables examined, indicating that subjects who participated in the exercise program had a significant higher level of physical abilities than the control group. Findings are discussed in terms of design and measurement improvements and the need to focus research efforts on multiple components of wellbeing in relation to fitness level in the elderly.
Performance of LDPC‐coded optical on‐off keying communication systems

In this letter, we study the performance of low‐density parity‐check (LDPC) codes in a Poisson optical channel with on–off keying modulation. We modify the iterative decoding algorithm used in binary phase‐shift keying modulation and additive white Gaussian noise channels. The simulation results show that the LDPC codes has performance improvements over parallel concatenated convolutional codes. Therefore, LDPC codes is well suited for optical channels with signal energy constraints. © 2007 Wiley Periodicals, Inc. Microwave Opt Technol Lett 49: 976–979, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.22320
Noble gas isotopes and mineral assemblages of Antarctic micrometeorites collected at the meteorite ice field around the Yamato Mountains

Abstract— From November 1998 to January 1999, the 39th Japanese Antarctic Research Expedition (JARE) conducted a large‐scale micrometeorite collection at 3 areas in the meteorite ice field around the Yamato Mountains, Antarctica. The Antarctic micrometeorites (AMMs) collected were ancient cosmic dust particles. This is in contrast with the Dome Fuji AMMs, which were collected previously from fresh snows in 1996 and 1997 and which represent modern micrometeorites. To determine the noble gas concentrations and isotopic compositions of individual AMMs, noble gas analyses were carried out using laser‐gas extraction for 35 unmelted Yamato Mountains AMMs and 3 cosmic spherules. X‐ray diffraction analyses were performed on 13 AMMs before the noble gas measurement and mineral compositions were determined.
Interactions between Organized, Surface-Confined Monolayers and Vapor-Phase Probe Molecules. 11. Synthesis, Characterization, and Chemical Sensitivity of Self-Assembled Polydiacetylene/Calix(n)arene Bilayers

We report the synthesis and characterization of self-assembled polydiacetylene (PDA)/4-tert-butylcalix[n]arene (where n = 4 and 6, abbreviated as CA[4] and CA[6], respectively) bilayers on Au surfaces. The PDA/CA[n] bilayers act as chemically sensitive interfaces that are resistant to high thermal stresses and extreme electrochemical potentials, both of which may be encountered in technologically significant sensing applications. Moreover, these simply prepared bilayer materials are excellent protosystems for studying a range of important sensor-related issues. Here we discuss the linking chemistry that leads to calixarene immobilization and examine the role calixarenes play in vapor-phase sensing applications using surface acoustic wave (SAW) mass balances and Fourier transform infrared−external reflectance spectroscopy (FTIR-ERS). FTIR-ERS spectra indicate that CA[n] reacts with the acid chloride-terminated PDA self-assembled monolayers (SAMs) to form ester linkages. Using irreversible adsorption of vap.
Estimating the age of volcanism in Seamount Provinces of the Northeast Indian Ocean

Summary The breakup of Australian landmass from Greater India, part of the late dispersal of Gondwana, started around 136 Ma. Concurrent with this breakup was the eruption of significant volumes of volcanics, on both the continental margins of Australia and India, including the North-West shelf, and in the ocean basin separating the two. Later submarine volcanism occurred within the Christmas Island Seamount Province (ChrISP), or which Christmas and Cocos (Keeling) Islands are two subareal examples. These volcanic events significantly impacted the thermal evolution of these margins, but the ultimate cause for this disparate volcanism, and the relationship between margin volcanics and later submarine volcanic events, remains unclear. The study tries to establish a relation between the volcanic activities and look for any evidence of these volcanic episodes. The study uses gravity, magnetic, and subsidence modelling to attempt to constrain the structure and ages of seamount volcanism within the Christmas Island Seamount Province, including the Wharton Basin and Argo Abyssal Plain. Gravity modelling helps to determine the crustal structure and constrains the depth of limestone cap, which further helps in calculating when the seamount was sub aerially exposed and approximates the time since it was last exposure. The relationship between the volcanism observed in the ChrISP (Late Cretaceous to Eocene) and that recorded earlier on the NW shelf continental margin, remains ambiguous, and will be better constrained with forthcoming geochemical analysis. But the results presented here point to a rich and complex history of volcanism within the Indo-Australian plate.
Computational Study of the Synthetic Jet on Separated Flow Over a Backward-Facing Step

Frequency effects of the synthetic jet on the flow field over a backward facing step are investigated using numerical analysis. Three-dimensional Navier-Stokes equations are solved. Implicit large-eddy simulation using high-order compact difference scheme is conducted. The present analysis is addressed on the frequency characteristics of the synthetic jet for understanding frequency characteristics and flow filed. Three cases are analyzed; the case computing flow over backward facing step without control, the case computing flow with synthetic jet control at F + h =0.2, and the case computing flow with synthetic jet control at F + h =2.0, where nondimensional frequency F + h is normalized with the height of backward-facing step and the freestream velocity. The present computation shows that separation length in the case of the flow controlled at F + h =0.2 is 20 percent shorter than the case without control. Strong two-dimensional vortices generated from the synthetic jet interact with the shear layer, which results in the increase of the Reynolds stress in the shear layer region. These vortices are deformed into three-dimensional structures, which make Reynolds stress stronger in the recirculation region. Size of the separation length in the case of the flow controlled at F + h =2.0 is almost the same as the case without control because the mixing between the synthetic jet and the shear layer is not enhanced. Weak and short periodic vortices induced from the synthetic jet do not interacts with the shear layer very much and diffuse in the recirculation region.
The Effectiveness of Audit Committees in Jordanian Public Shareholding Companies and Potential Company Characteristics Affecting It: Perceptions from Auditors in Jordan

This study aimed at exploring the effectiveness of audit committees in Jordan and potential factors affecting it. This includes audit committees' performance of their assigned responsibilities, their achievements of certain other benefits, limitations on their effectiveness, and the effects of certain factors, such as company size, debt, and formation of board of directors on their effectiveness. In order to do so, the study used a questionnaire to survey the views of Jordanian auditors who work for audit firms involved in auditing Jordanian companies that are legally required to have audit committees. The results of the study generally show that audit committees in Jordan are only slightly effective. Auditors perceived that audit committees in Jordan only slightly perform their legally required duties, and that some of the potential benefits covered in the questionnaire are achieved, but only to a limited degree. Factors of company size and debt were generally found not to have an effect on audit committee effectiveness, but the composition of the board of directors factor was perceived as having a slightly significant effect.
IN VITRO ANTIMICROBIAL ACTIVITY OF IRIS PSEUDACORUS AND URTICA DIOICA

Article history: Received: 14 Oct 2012 Accepted: 18 Dec 2012 Available online: 12 Feb 2013 ZJRMS 2014; 16(3): 35-39 Background: In this study, the effects of antibacterial activity of Urtica dioica and Iris pseudacorus essential oils, native plant northern of Iran, were investigated for some selected bacteria. Material and Methods: The influence of essential oils was tested by the using of disk diffusion and micro-broth dilution methods against standard strains of the picked out bacteria. Gas Chromatography/Mass Spectroscopy (GC/MS) analysis, bioactivity determination, Minimum inhibitory concentrations (MIC) and minimum bactericidal concentration (MBC) of essential oils were utilized for this goal. Results: This study showed that, Inhibition zone diameter varied from 11 to 19 mm and 9 to 17 mm for Urtica dioica and Iris pseudacorus respectively. In contrast, this figure fluctuated from 19 to 28 mm and 7 to 17 mm for gentamicin and ampicillin separately. By the application of micro-broth dilution technique, MICs for 1% essential oils were 1.8-7.5 μg/ml and 3.75-15 μg/ml for, Urtica dioica and Iris pseudacorus against gram-positive and gram-negative bacteria individually. Furthermore, the MBCs of herbal essences were 1.8-15 μg/ml for, Urtica dioica and 15-30 μg/ml for Iris. Conclusion: The application of essential oils for the bio-control of diseases, as a novel emerging alternative to antimicrobial treatments, lead to safer and more environmental management for infective diseases4T. 4T Copyright © 2014 Zahedan University of Medical Sciences. All rights reserved.
Wavelet filter techniques for segmenting retinal blood vessels

Article history: Received 29 May 2017 Received in revised form 2 August 2017 Accepted 5 August 2017 Retinal fundus image is generally used to examine the diabetic retinopathy symptoms, by analysing blood vessel segmentation and also access the pathologies of the eye. Retinal blood vessel details can be mined from retinal fundus images through image processing. Processing involves three stages, Pre-processing, Segmentation, and Post-processing. Among the different segmentation algorithms existing, the wavelet filter method has been shown to be highly advantageous in distinguishing blood vessels effectively. Under this method, the objects in noisy background can be segmented and hence sort out the image from the background in a finer way. Retinal images obtained from retinal databases like DRIVE and STARE can be analysed using the wavelet filter algorithm. Herein wavelet filter method will be evaluated for efficient segmentation of the retinal blood vessels using retinal images obtained from databases.