Miracle-dz/UniFAR-FTUs huggingface dataset:
The Qualitative Report The

Abstract In this study the authors explored maternal perceptions of life with Down Syndrome (DS) in Korea. Written responses to open-ended questions were collected as a part of a larger study and examined using content analysis. Most mothers commonly reported responses toward children with DS at both the societal and community level were negative. Many mothers acknowledged that even though there are ongoing challenges associated with being the mother of a child with DS, they have experienced unexpected joys as well. Increased awareness of cultural differences in beliefs and attitudes about children with DS and their care will help health care professionals develop culturally appropriate interventions.
The Ameliorative Effect of Proanthocyanidins against Streptozotocin Induced Diabetic Nephropathy in Rats

Diabetic nephropathy (DN) is an important microvascular complication of diabetes and one of the main causes of end stage renal disease. The protective effect of grape seed proanthocyanidins extract (GSPE) against streptozotocin (STZ) induced diabetic nephropathy and oxidative stress in rats was evaluated. Seventy two male albino rats divided into four groups. Group I (normal group): rats administered buffer citrate. Group II (DN group): rats received a single intraperitoneal (i.p) injected dose of STZ (50 mg/kg b.wt). Group III (DN + insulin treated group): diabetic nephropathy rats treated with insulin (2U/rat/day/i.p). Group IV (DN + GSPE treated group): diabetic nephropathy rats treated with GSPE (250 mg/kg b.wt/day/orally). The obtained results showed a significant increase in serum glucose, urea, creatinine and kidney tissue L-MDA concentrations with upregulation of NF-kB gene expression in diabetic nephropathy induced rats. However, SOD activity and GSH level of kidney tissues were markedly decreased. Administration of GSPE to DN induced rats caused a significant improvement of all previous parameters towards their normal ranges. These results suggested that, GSPE treatment may have a therapeutic effect against STZ-induced diabetic nephropathy and oxidative stress in rats through free radical scavenging and anti-inflammatory activity as well as regenerating endogenous antioxidant defense system mechanisms.
A Performance Analysis of the Innovative Methods Employed for Outlier Detection using Data Mining Algorithms with Three Different Applications

Data Mining simply refers to the mining of very interesting patterns of the data from the massive data sets. Outlier detection is one of the important characteristics of data mining. It is a task that finds objects that are considerably dissimilar, incomparable or inconsistent with respect to the remaining data. Outlier detection has wide applications which include data analysis, network intrusion detection, financial fraud detection, and clinical diagnosis of diseases. This paper proposes three outlier detection models such as OFWDT (Outlier Finding with Decision Tree), OFWNB (Outlier Finding with Naïve Bayes) and OFWQR (Outlier Finding With Quartile Range) with three different applications. OFWDT model has three steps of a process. In the first step, groups the data in to number of clusters using Farthest First clustering algorithm. Due to minimize the size of dataset, the computation time reduced greatly.In the second step, outliers are detected from wisconsin breast cancer dataset using ODA (Outlier Detection Algorithm). In third step, identifies whether the cancer is malignant or benign from the pre-processed data set using J48 classification algorithm. OFWNB model consists of two phases. In first phase, the Farthest First (FF) clustering algorithm is executed. Small clusters are determined and considered as outlier clusters. In second phase, the rest of outliers (if any) are detected in the remaining clusters based on computing the absolute distances between the Centroids and Points [ADCP]. In each cluster a threshold value is also calculated. If the ADCP value is less than the threshold value the object is retained in the cluster, but, if the ADCP value is greater than the threshold value the object is detected as outlier. Finally, the preprocessed data is then classified either good or bad using Naïve Bayes classifier. OFWQR model based on a hybrid method that uses IQR filter for preprocessing the original data set by removing outliers and j48 decision tree classifier is applied for diagnose the heart data into healthy and a patient who is focus to possible heart disease. The aim of this paper is to study the performance comparison of three outlier detection methods with three different applications such as breast cancer diagnosis, Credit card fraud detection and Heart disease diagnosis. We used the Wisconsin Breast cancer data set for diagnose the breast cancer. Credit card german data set is used for fraud detection and Cleveland heart disease data set is used for heart disease diagnosis. The experimental results proves that the outlier finding with decision tree (OFWDT) model obtained 99.9%,99.8%,99.9% classification accuracy for diagnosis of breast cancer, credit card fraud detection and heart disease diagnosis. OFWDT model gives better performance compared with three applications.
Fermented whey with lactobacilli for calf feeding in the tropics.

Whey (SL) spoils rapidly and lactic fermentation is a viable preservation alternative; once fermented, it can be used to feed ruminants. Therefore the objectives of the present study were to chemically characterize whey; fermented with Lactobacilus casei (SLF); and use it for calf feeding. Whey was obtained from nine small cheese plants located in the municipalities of Cotaxtla and Medellín de Bravo, Veracruz, Mexico, every 7 d during two months. Acidity, pH, protein, fat, lactose and total solids were determined, and the average and standard deviation were calculated. The growth (from 0 to 96 h) of L. casei NRRL B-1922 in whey pasteurized at 63 °C for 15 min was measured counting the UFC mL-1 in MRS agar. A control (milk intake, 4 L d−1) (T1) was included for comparison purposes: in the addition of whey, 2 L d−1 (T2), or SLF, 2 L d−1 (T3); and milk, 1 L d−1, replaced by SLF 3 L d−1 (T4), in 24 calves (Holstein×Zebu) from birth until three months old, in artificial rearing in the tropic (Veracruz). Average daily weight gain (ADG) and concentrate consumption (CC) were monitored. ANOVA was performed with PROC MIXED (SAS) for four treatments and repeated measurements over time. The characteristics of whey (wet basis) were: acidity 2.1±0.46 %, pH 5.6±1.10, protein 2.2±0.52 %, fat 0.5±0.22 %, lactose 4.3±0.21 % and total solids 7.1±0.92 %. Lactobacilli reached their maximum growth (1×107 UFC mL−1) in 24 h. ADGs were similar (p>0.05) in all the calves; but CC in T2 and T3 calves was 38.7 % lower than under T1, and the use of milk in T4 was 25 % lower (p≤0.05). It was concluded that SLF with L. casei extended its aerobic stability, and reduced CC without changing the ADG in Holstein×Zebu calves in the tropic.
Consequences of intraoperative spinal cord manipulation in dogs with thoracolumbar intervertebral disc extrusion

The objective of the present study was to evaluate if extradural contact during hemilaminectomy would cause neurological deterioration in the early and/or late postoperative period in dogs with intervertebral disc extrusion. Nineteen dogs with thoracolumbar intervertebral disc extrusion underwent hemilaminectomy for spinal cord decompression and removal of extruded disc material. Meningeal contacts during surgery were quantified. Paraplegia (with nociception) and paraparesis were observed in 11/19 and 8/19 of dogs, respectively, before surgery. At the end of our study, only two (2/19) had paraplegia and one (1/19), paraparesis. There were more extradural contacts when extruded intervertebral disc material was at a ventrolateral position. Extradural contacts during surgery had no influence on neurological progression nor on time to recovery of motor function. Immediately (24 and 48 hours) after surgery, 13/19 dogs had the same neurological stage before surgery. At 7 and 90 days, 13/19 and 17/19 dogs, respectively, showed neurological improvement, compared with their preoperative stage. There was no influence of the number of extradural contacts on neurological recovery. These findings indicate that a careful inspection of the vertebral canal for removal of as much extruded disc material as possible does not cause neurologic deterioration.
A structural equation modelling approach to explore consumers’ attitude towards sustainable wine

This paper investigates how environmental and socio-economic beliefs affect consumers attitude towards sustainable wine, and the main drivers during wine purchase. Data were collected with online questionnaire in 2013 from 513 Italian wine drinkers. The results of a structural equation model show that attitude towards sustainable wine is driven by both environmental and quality beliefs of sustainable wine, while is not affected by the economic dimension. Attitudes and quality beliefs affect consumer’s importance of sustainable aspects during wine purchase. This paper suggests that communication strategies should focus on sustainable issues to meet the need of environmentally-conscious consumers.
Error Concealment Method Based on Motion Vector Prediction Using Particle Filters

Video transmitted over unreliable environment, such as wireless channel or in generally any network with unreliable transport protocol, is facing the losses of video packets due to network congestion and different kind of noises. The problem is becoming more important using highly effective video codecs. Visual quality degradation could propagate into subsequent frames due to redundancy elimination in order to obtain high compression ratio. Since the video stream transmission in real time is limited by transmission channel delay, it is not possible to retransmit all faulty or lost packets. It is therefore inevitable to conceal these defects. To reduce the undesirable effects of information losses, the lost data is usually estimated from the received data, which is generally known as error concealment problem. This paper discusses packet loss modeling in order to simulate losses during video transmission, packet losses analysis and their impacts on the motion vectors losses.
Movement patterns of barramundi Lates calcarifer, inferred from 87Sr/86Sr and Sr/Ca ratios in otoliths, indicate non-participation in spawning

The migration patterns of the large catadromous fish, barramundi Lates calcarifer in southern Papua New Guinea were examined by analysing 87 Sr/ 86 Sr and Sr/Ca ratios by MC-LA- ICPMS and LA-ICPMS, respectively. Individual migration histories between coastal and riverine habitats could be inferred from the 87 Sr/ 86 Sr ratios. These were used to calibrate the Sr/Ca ratios from a larger sample of fish and identify periods when the fish were resident in freshwater. The largest freshwater population of barramundi occurs in the middle reaches of the Fly River. We found that most adult barramundi from this population do not migrate annually to spawn on the coast. Fish vary in the age that they first enter freshwater, and most have arrived by sexual maturity (4 yr). We esti- mate that only half the adult fish in the Fly and nearby Kikori rivers have ever migrated back to the coast during their lifetime. This implies that many barramundi do not participate in spawning. Fish examined from the spawning ground were mostly marine residents, and some had spent short periods in rivers adjacent to their spawning ground. Tagging and scale chemistry studies from north- ern Australia have also found little evidence of movement of freshwater resident barramundi back to the sea. This implies that the phenomenon of non-participation in spawning may be widespread in this species. Our results suggest that freshwater fisheries for barramundi may have less effect on the spawning population than those in coastal regions and thus be able to sustainably remove a greater proportion of the population.
Experimental research on hydraulics of flood discharge tunnel and improving schemes for choking

Due to the wide range of water levels in reservoir operation, the hydraulic functionality of free surface tunnels in supercritical flow conditions, while discharging beyond design conditions, deserve further studies. To investigate the safe discharging of low drop tunnels, a scale model of a spillway system was built and tested under different flow conditions and structural configurations. Water depth, velocity and flow regime in tunnel and flip bucket reach were measured in experiments. In emptying reservoir operations, a surprising phenomenon was observed; specifically, at low discharges, supercritical flow occurred inside the tunnel while subcritical flow characterized the exit section, with a hydraulic jump forming and moving back into tunnel, forcing it to work under pressure. Critical discharge conditions below which hydraulic jump occurs in the tunnel is theoretically derived by 1D hydraulic analytical computation and experimentally confirmed as qc=0.485qd. To eliminate risk of choked tunnel, a modification is envisioned by setting a torsion angle and a side-weir along the flip bucket section. Experiment results indicate that the combination of a skewed flip bucket and side weir can effectively decrease the outlet water depth, and mitigate the hydraulic jump, avoiding tunnel choking thanks to redirecting the flow into the side weir and to centrifugal force effects. Ski jump flow through the skewed flip bucket and the downstream river regime were also improved.
Determinantes de la gestión del capital de trabajo en Latinoamérica

El objetivo de este articulo es determinar los factores que afectan la gestion del capital de trabajo en las companias latinoamericanas. Mediante el uso de un analisis de datos de panel no balanceados de companias cotizadas en cinco mercados de capital de Latinoamerica, se demuestra que las companias en Argentina, Brasil, Chile y Mexico tienen excesos de efectivo, lo que podria destruir el valor de dichas empresas. Los resultados muestran que el ciclo de conversion de efectivo de la industria, el poder de mercado de la compania, sus ventas futuras y el riesgo del pais, influyen sobre la manera en la que las companias latinoamericanas gestionan su capital de trabajo, con diferencias significativas entre los paises de la region.
Relating Knowledge Management And Growth Performance With Organization Learning As Mediator: A Conceptual Approach

A B S T R A C T Construction business is facing multifaceted challenges in today’s turbulent environment which require the players to plan appropriate strategies in order to remain relevance, competence and growth in this ever challenging industry. Growth performance of companies is commonly understood as business success and most companies are planning to enhance their growth performance. Knowledge is acknowledged as a valuable resource for companies to maintain competitiveness in a turbulent business environment. However, due to lack of systematic knowledge organization, companies are not realizing and optimizing what they already know. For that reason, knowledge management is introduced to assist an organization managing the knowledge systematically and effectively. The implementation of knowledge management can offer higher impacts on the growth performance when they take into consideration the organizational learning in their strategic plan. This paper reviews the concepts of knowledge management, growth performance and organizational learning and tries to establish a relationship between knowledge management and growth performance along with the role of organizational learning as a mediator. The framework relating knowledge management and growth performance with organizational learning plays a mediating role will be established and recommended for future study in the construction industry.
Identification of allopatric clades in the cosmopolitan ophiuroid species complex Amphipholis squamata (Echinodermata). The end of a paradox

Life history traits (absence of larval phase, small size and hermaphroditism) do not predispose Amphipholis squamata to dispersal, yet paradoxically it has a nearly cosmopolitan distri- bution. Recent phylogenetic analyses of 16S mitochondrial DNA (mt-DNA) sequences revealed that (1) Amphipholis squamata is a complex of diverging clades, each of them being found in the North Atlantic as well as in the South Pacific Ocean, and (2) genetic structure is low along the coasts of New Zealand, leading the authors to conclude that rafting may allow important gene flow in this taxon and possibly worldwide distribution of species. For the present study, we obtained 16S mt-DNA sequences from individuals of the Mediterranean Sea, which we analysed along with published data. We show that several sub-clades of previously identified clades display an allopatric distribution, either Atlantic versus Mediterranean, or Mediterranean and Atlantic versus New Zealand. Further- more, none of the haplotypes (from any sub-clade) have been found in both Mediterranean and Atlantic samples. These results establish that at least some species of the A. squamata complex, and possibly all of them, lack inter-oceanic or even Atlantic-Mediterranean distributions. We suggest that the worldwide distribution of some clades only reflects the antiquity of the clades, which are composed of several species.
AN ADAPTIVE CLUSTER BASED IMAGE SEARCH AND RETRIEVE FOR INTERACTIVE ROI TO MRI IMAGE FILTERING , SEGMENTATION , AND REGISTRATION

Recently, there has been an enormous development in compilation of diverse image databases in the appearance of digital. The majority of the user establishes it hard to investigate and recover necessary images in huge collection. In organize to supply an effectual and well-organized explore engine tool, to smooth the progress of high point examination of checkup image information in investigate and clinical environment the scheme has been put into practice. In image retrieval system, there is no methodologies contain been careful in a straight line to get back the images from databases. That featured images only have be measured for the retrieval process in order to retrieve exact desired images from the databases. This paper also highlights an thought of newly developed image clustering technique and their real time application such as Clustering based image linearization in ROI, The purpose of this effort is a scalable, immediate, illustration search engine for medical images, Preprocessing, feature extraction, Classification and retrieval steps in arrange to build an well-organized recovery tool. The main characteristic of this tool is used of CBISR of the extract feel pattern of the image and clustering algorithm for image categorization in arrange to get better retrieval efficiency. The future image retrieval scheme consists of three stages i.e., segmentation, texture feature extraction and clustering procedure. In the segmentation development, preprocessing step to section the image into block is carried out. A decrease in an image area to be process is approved out in the surface feature removal procedure and lastly, the extract image is clustered using Kmeans algorithm
P o S ( C O R F U 2 0 1 1 ) 0 3 0 Light strings at D-brane intersections

This proceeding is based on [1] where we study the spectrum of open strings localized at the intersections of D6-branes. For a regime in parameter space we find that the masses of the lightest states scale as M2 θ ≈ θM2 s and can thus be parametrically smaller than the string scale. Relying on previous analyses, we compute scattering amplitudes of massless ‘twisted’ open strings and study their factorization, confirming the presence of the light massive states as sub-dominant poles in one of the channels. Along the analysis we provide a dictionary between states and their corresponding vertex operators.
Are the Baltic Countries Ready to Adopt the Euro? A Generalized Purchasing Power Parity Approach

This paper focuses on macroeconomic interdependencies between the Euro area and three transition economies (Estonia, Lithuania and Latvia), with the aim of establishing whether the latter are ready to adopt the Euro. The theoretical framework is based on the Generalised Purchasing Power Parity (GPPP) hypothesis, which is empirically tested within a Vector Error Correction (VEC) model. Using both monthly and quarterly data over the period 1993-2005, it is found that GPPP holds for the real exchange rate vis-a-vis the Euro of each Baltic country, reflecting a degree of real convergence consistent with Optimum Currency Area criteria. Further, the adopted joint modelling approach for the real exchange rates of the Baltic region outperforms a number of alternative models in terms of out-of-sample forecasts.
Cost-Effective Inclusion of Rankers : Learning When Not To Query

Combining multiple rankers has potential for improving the retrieval performance over using any of the single rankers. However, querying multiple rankers for every search request can often be expensive due to efficiency or commercial reasons. In this work, we propose a more cost-effective approach that uses the top retrieved results of a baseline ranker to predict the utility of including any additional rankers, without actually querying them. This approach is based on a novel learning technique, LTI, that maximizes the relevance gains that can be obtained by querying any additional rankers (effectiveness gains), while also minimizing the number of times these rankers are queried (efficiency gains). To evaluate LTI, we develop a combined measure that captures this trade-off in effectiveness versus efficiency. Our experimental results on a standard web collection demonstrate the viability of our approach to cost-effective ranker inclusion. Using easy-to-compute features based on the top retrieved results of a baseline ranker, the LTI method successfully adapts to different efficiency and effectiveness trade-offs and achieves on average a 7% improvement over a competitive classification baseline. In addition, we develop a method that automatically augments the training data using surrogate relevance data, which results in further effectiveness and efficiency improvements of up to 15%.