Miracle-dz/UniFAR-FTUs huggingface dataset:
International Journal of Scientific Research in Computer Science, Engineering and Information Technology

The technique demonstrates particularly exact for vessel location in STARE images. Its application to this database (notwithstanding when the NN was prepared on the DRIVE database) beats all examined division approaches. Diabetes occurs when the pancreas fails to secrete enough insulin, slowly affecting the retina of the human eye. As it progresses, the vision of a patient starts deteriorating, leading to diabetic retinopathy. In this regard, retinal images acquired through fundal camera aid in analyzing the consequences, nature, and status of the effect of diabetes on the eye. This paper displays another managed strategy for vein recognition in computerized retinal pictures. This strategy utilizes a neural system (NN) conspire for pixel arrangement and figures a 7-D vector made out of dim level and minute invariants-based highlights for pixel portrayal. The strategy was assessed on the openly accessible DRIVE and STARE databases, broadly utilized for this reason, since they contain retinal pictures where the vascular structure has been exactly set apart by specialists.Finally, classification of the different stages of eye disease was done using Random Forests technique based on the area and perimeter of the blood vessels and hemorrhages. Accuracy assessment of the classified output revealed that normal cases were classified with 90% accuracy while moderate and severe NPDR cases were 87.5% accurate.
An Efficient Private Matching and Set Intersection Protocol: Implementation PM-Malicious Server

The Private Set Intersection (PSI) is a privacy based service in which the service adaptation depends on the intersection set of two clients each of which has a large domain. The goal is to know only the common part and not to disclose unnecessary information. With the growing demand in privacy based services, in this paper we show how to implement the well-known Pinkas algorithm for malicious server. As smart phones are becoming extremely popular and most trusted computing device so we implement Pinkas protocol using Java language to make an Android application on Eclipse IDE interface. We would also show how the protocol would perform for different set of inputs.
A Comparative Corpus Analysis of PP Ordering in English and Chinese

We present a comparative analysis of PP ordering in English and (Mandarin) Chinese, two languages with distinct typological word order characteristics. Previous work on PP orderings have mainly focused on English using data of relatively small size. Here we leverage corpora of much larger scale with straightforward annotations. We use the Penn Treebank for English, which includes three corpora that cover both written and spoken domains, and the Chinese Penn Treebank for Chinese. We explore the individual effect of dependency length, the argument status of the PP (argument or adjunct) and the traditional adverbial ordering rule, Manner before Place before Time. In addition, we evaluate the predictive power of dependency length and argument status with weights estimated from logistic regression models. We show that while dependency length plays a strong role across genre for English, it only exerts a mild effect in Chinese. On the other hand, the argument status of the PP has a pronounced role in both languages, that is, there exists a strong tendency for the argument-like PP to appear closer to the head verb than the adjunct-like PP. Our work contributes empirically to the long-standing proposal in linguistic typology that crosslinguistic word ordering preference is driven by cooperating and competing principles.
Semi-supervised Constrained Hidden Markov Model Using Multiple Sensors for Remaining Useful Life Prediction and Optimal Predictive Maintenance

Remaining Useful Life (RUL) estimation is critical in many engineering systems where proper predictive maintenance is needed to increase a unit's effectiveness and reduce time and cost of repairing. Typically for such systems, multiple sensors are normally used to monitor performance, which create difficulties for system state identification. In this paper, we develop a semi-supervised left-to-right constrained Hidden Markov Model (HMM) model, which is effective in estimating the RUL, while capturing the jumps among states in condition dynamics. In addition, based on the HMM model learned from multiple sensors, we build a Partial Observable Markov Decision Process (POMDP) to demonstrate how such RUL estimation can be effectively used for optimal preventative maintenance decision making. We apply this technique to the NASA Engine degradation data and demonstrate the effectiveness of the proposed method.
Constrained Optimization Methods for Support Vector Machine Classification

The support vector machine (SVM) is a supervised classification method that separates a data set into classes using nonlinear boundaries. Construction of the SVM classifier yields a quadratic program (QP) with bound and equality constraints. We present two augmented Lagrangian (AL) optimization methods for numerically solving the SVM QP. One AL method incorporates both the bound and equality constraints into Lagrangian, allowing for the use of an unconstrained quadratic optimizer. The other AL method incorporates only the equality constraint into the Lagrangian and hence requires the solution of a bound constrained QP. We also present an adaptation of the scaled gradient projection (SGP) method of [3] for solving the SVM QP. Numerical examples on image data sets indicate that both AL methods and SGP work well, and that the AL methods outperform SGP and two other state-of-the-art methods that we include for comparisons.
Long-run evidence on EMU trade using gravity equations

Long-run evidence on EMU trade using gravity equations Mariam Camarero Estrella Gómez Cecilio Tamarit a Departamento de Economía. Universidad Jaume I. Campus de Riu Sec. E-12071 Castellón, Spain. e-mail: camarero@eco.uji. es b Departamento de Teoría e Historia Económica. Universidad de Granada. Campus de Cartuja, s/n. E18071 Granada, Spain. e-mail: estrellagh@gmail.com c Departamento de Economía Aplicada II. Universidad de Valencia. Avda. dels Tarongers s/n. E46022 Valencia, Spain. e-mail: cecilio.tamarit@uv.es Abstract. In this article we present evidence of the long-run effects of the monetary integration process, emphasizing the role of the euro on exports for the twelve initial EMU countries for the period 1967-2008 from a double perspective. First, we pool all the bilateral combinations of export flows among the EMU countries in a panel cointegration gravity specification. Second, we estimate a gravity equation for each of the EMU-members vis-à-vis the other eleven partners. Whereas the joint gravity equation provides evidence on the aggregate effect of the euro on intra-European exports, by isolating the individual countries we assess which of them have obtained a larger benefit from the euro. Moreover, this strategy permits to check the robustness of the aggregate results and to find possible asymmetries. Finally, we repeat both the aggregated and individual analysis for the bilateral exports of EMU members to third countries. From an econometric point of view, we apply panel cointegration techniques based on factor models that account for cross-dependence and structural breaks.
MODELLING INTENTION TO VISIT WORLD MONUMENT FUNDED SITE

World Monument Fund (WMF) spent USD 50,000 I preserving historical value in Kampung Cina Kuala Terengganu Malaysia, and this site has been put on the WMF watch list in 1998,2000, and 2002. To support the effort initiated by the WMF, local government and local community has taken various efforts to ensure that the Kampung Cina will become a major tourist attraction in Terengganu and Malaysia itself. With advancement in a networking technology and new style of marketing with electrical tools, this study will try to understand the influence of electronic word of mouth (eWOM) and the variables representing the theory of reason action, towards the intention to visit this WMF site. Many studies has been conducted on the effect of eWOM on the intention to visit, but mostly on the world heritage site. A quantitative approach using self-administered questionnaire was applied. Within March and April 2017, questionnaire were distributed among 155 international tourist at this site. Only 123 can be used for testing the model. The result shows that attitude and subjective norm have a positive relationship with the intention to adopt. Meanwhile, the hypothesis for eWOM was not supported. This findings is valuable to the government and also to the tourism community for them to create a better marketing strategy for this site.
Development of Nutritious Extruded Snacks

Mixtures of cereals and legumes lead to products with a better content of protein with a high biological value. Sweet lupine flour had the highest protein, fat and fibre content (39.37, 3.08 and 3.92% respectively), while sweet potato flour had the highest ash and carotene content (4.03% and 32.51 mg/kg). The product prepared from extruding broken rice, sweet potato flour and sweet lupine flour had an increased nutritional value. Adding 10% sweet potato flour resulted in a significant increase in fiber, ash and total carotenoids. While increasing amounts of sweet lupine resulted in a gradual increase in the values of protein, fat, fiber and ash. There was a decrease in the EI, WAI and WSI values as the concentration of lupine increased. It could be noticed that consuming fortified snacks could provide children with part of their daily requirements of protein, dietary fiber, carbohydrate, calcium, iron and zinc. [Eman H. Algarni; Hanan A. Hussien and Eman M. Sale. Development of Nutritious Extruded Snacks. Life Sci J 2019;16(9):23-31]. ISSN: 1097-8135 (Print) / ISSN: 2372-613X (Online). http://www.lifesciencesite. com. 3. doi:10.7537/marslsj160919.03.
Max-Margin, Single-Layer Adaptation of Transferred Image Features

Convolutional Neural Networks (CNNs) learned on the ImageNet dataset have been shown to be excellent feature extractors that, combined with linear SVM classifiers, yield outstanding results when transferred to target datasets (e.g., Pascal VOC, MIT Indoor 67 and Caltech) not used during the CNN learning process [? ]. Given the large number of free parameters in CNN models (tens of millions), learning CNNs directly on these smaller target datasets is a difficult task. Yet recent work [? , ? ] has established that it is possible to adapt the transferred CNN parameters to the smaller target dataset to further improve results.
Assessing the Impact of Man–Made Ponds on Soil Erosion and Sediment Transport in Limnological Basins

The impact of ponds on basins has recently started to receive its well-deserved scientific attention. In this study, pond-induced impacts on soil erosion and sediment transport were investigated at the scale of the French Claise basin. In order to determine erosion and sediment transport patterns of the Claise, the Coordination of Information on the Environment (CORINE) erosion and Soil and Water Assessment Tool (SWAT) models were used. The impact of ponds on the studied processes was revealed by means of land cover change scenarios, using ponded versus pondless inputs. Results show that under current conditions (pond presence), 12.48% of the basin corresponds to no-erosion risk zones (attributed to the dense pond network), while 65.66% corresponds to low-erosion risk, 21.68% to moderate-erosion risk, and only 0.18% to high-erosion risk zones. The SWAT model revealed that ponded sub-basins correspond to low sediment yields areas, in contrast to the pondless sub-basins, which yield appreciably higher erosion rates. Under the alternative pondless scenario, erosion risks shifted to 1.12%, 0.52%, 76.8%, and 21.56% for no, low, moderate, and high-erosion risks, respectively, while the sediment transport pattern completely shifted to higher sediment yield zones. This approach solidifies ponds as powerful human-induced modifications to hydro/sedimentary processes.
Does Mothers’ Parental Leave Uptake Stimulate Continued Employment and Family Formation? Evidence for Belgium

Parental leave schemes undoubtedly facilitate the combination of work and family life during leave-taking. In addition to this instantaneous effect of parental leave uptake, a growing yet limited body of research addresses the question of subsequent effects of parental leave uptake. As work-family policies, such as parental leave, are geared towards stimulating family formation and (female) employment, this study assessed whether the individual uptake of parental leave by employed mothers after the birth of a child yielded differential parity progression and employment patterns compared to eligible employed mothers that did not take leave. Using data from the Belgian Administrative Socio-Demographic panel, we applied dynamic propensity score matching and hazard models. Our results indicate that previous leave uptake is a differentiating factor in subsequent fertility and employment outcomes, but also that (self-)selection strongly affects this relation. Descriptive analyses indicate that mothers who use leave shortly after childbearing exhibit a similar progression to second births, more third births and less fourth births, while displaying substantially lower hazards of exiting the labour force regardless of parity. However, when controlling for the fact that mothers who use parental leave exhibit a stronger pre-birth attachment to the labour force, work for larger employers in specific employment sectors, and also differ from non-users in terms of household characteristics (e.g., higher household income, more likely to be married and less likely to have a non-Belgian background), many associations between leave uptake and subsequent fertility and employment outcomes turn neutral or even negative. No indication for higher parity progression among leave users was found and the hazard of exiting the labour force was moderately higher for leave users. These empirical results are discussed in the Belgian context of low parental leave benefits, short leave entitlements and low uptake of parental leave, features which are also displayed by other Western European countries and contrast with the Nordic European countries studied in previous research.
Whole farm assurance programmes as a means to achieving best management practice dairy farming: A case study of the Synlait Milk Ltd Lead With Pride programme

Farm assurance schemes that facilitate best management practices may be viewed as a means by which the dairy industry is able to maintain a social license to operate and facilitate productive and sustainable farming systems. The Synlait Milk Limited Lead With Pride (LWP) programme seeks to demonstrate industry leadership by recognising and financially rewarding suppliers who achieve dairy farming best practice. A qualitative study was conducted to understand the adoption motivations and benefits amongst farmers and to determine the financial value returned to suppliers. Thirteen semi-structured interviews were conducted with certified and noncertified suppliers to understand their perceptions and motivations. Three of the participant farms provided data to conduct an analysis of the costs and returns associated with the programme to assess its impact on profitability. The findings indicate that adoption of LWP practices allowed for increased profitability, predominately attributable to changes within animal health and welfare and environmental practices. The qualitative research identified perceived relative advantage, compatibility and complexity as the dominant factors influencing supplier’s behaviour regarding adoption. Respondents gave weight to premium offerings, industry developments and importance of support from extension services, in achieving certification. Findings from the research provide evidence that adoption of whole farm assurance scheme within intensive farming operations can drive profitability, provide farm practice advantages and ensure sustainability within our primary
Application of Artificial Intelligence Technology on Cyberspace Security Defense

The main purpose of cyberspace security defense is to analyze a large number of events in a timely manner and build sufficient security defenses for the ever-changing cyberspace. The development of science and technology has made human life and cyberspace closely related, and artificial intelligence has spread in various fields. The artificial intelligence technology for cyberspace security defense has received a lot of scientific attention in recent years, and its research and exploration fields are deepening. This paper briefly describes the basic characteristics of network security defense and artificial intelligence, analyzes its application advantages, and cites specific typical application examples, aiming to provide effective countermeasures for the development of artificial intelligence in this field and improve the overall security of future network space.
Comparing Sentiment- and Behavioral-Based Leading Indexes for Industrial Production: When Does Each Fail?

We apply a relatively novel leading–lagging (LL) method to four leading and one lagging indexes for industrial production (IP) in Germany. We obtain three sets of results. First, we show that the sentiment-based ifo index performs best in predicting the general changes in IP (−0.596, range −1.0 to 1.0, −1.0 being best). The ZEW index is very close (−0.583). In third place comes, somewhat unexpectedly, the behavioral-based unemployment index (−0.564), and last comes order flow, OF (−0.186). Second, we applied the LL method to predefined recession and recovery time windows. The recessions were best predicted (−0.70), the recoveries worst (−0.32), and the overall prediction was intermediate (−0.48). Third, the method identifies time windows automatically, even for short time windows, where the leading indexes fail. All indexes scored low during time windows around 1997 and 2005. Both periods correspond to anomalous periods in the German economy. The 1997 period coincides with “the great moderation” in the US at the end of a minor depression in Germany. Around 2005, oil prices increased from $10 to $60 a barrel. There were few orders, and monetary supply was low. Our policy implications suggest that the ZEW index performs best (including recessions and recoveries), but unemployment and monetary supply should probably be given more weight in sentiment forecasting.
Assessment of implementation status of Janani-Shishu Suraksha Karyakram (JSSK) for free referral transport services at selected Public health facilities in Wardha district, of Central India -

Background: In India about 67,000 women die every year due to pregnancy related complications like haemorrhage, infection, high blood pressure; unsafe deliveries, etc that may result in maternal and infant mortality. However, 25% pregnant women still hesitate to access health facilities due to High out of pocket expenses on Medical care and transport required to take pregnant women from home to the health facility and back. Govt. of India had launched, Janani-Shishu Suraksha Karyakram (JSSK) in Wardha district from September, 2011 to ensure that each and every pregnant woman and sick neonates up to 30 days gets timely access to health care services including transport free of cost. Objective: To assess awareness, availability and utilization of Referral transport services to pregnant women and sick newborns at selected Public health facilities in Wardha district, Maharashtra. Material & Methods: This was a community and facility based observational cross-sectional study conducted from September 2012 to August 2013 at two Primary Health Centres (PHCs). All mothers (120) having children less than six months of age were interviewed. A modified pre-tested Questionnaire (JSSK Guidelines)(1) was used to assess the implementation status of JSSK for free referral transport services at villages. All health professionals from selected public health facilities were also interviewed. The collected data was entered and analysed by using software SYSTAT 12.0 version. Results: Only 28.00 % pregnant women and NO sick newborns availed free referral transport services from home to health institutions; Nearly one-fifth (19.24%) pregnant women and 50.00% sick newborns availed free referral transport services from transfer to higher level facility for complications; Nearly two-third (65.83%) pregnant women and no sick newborns availed free referral transport services to drop back home in the study area. Conclusion: Although JSSK had been started in Wardha district since September 2011; however, the awareness and utilization of free referral transport services were not to the fullest extent. Gaps were found between the reported figures by health professionals & actual responses of study participants (mothers).
International Capital Mobility of East Asian Countries : Is Domestic Investment Financed by Regional or Global Savings ?

Following capital account liberalization and financial market deregulation in the early 1990s, many East Asian economies experienced a surge in international capital flows. In addition, these East Asian economies have taken various steps to improve regional financial cooperation and integration since the 1997/98 Asian financial crisis. Theoretically, freely mobile international capital flows can benefit countries by efficiently matching worldwide savings and investment opportunities. This paper investigates the extent to which the domestic investment of East Asian economies is financed by domestic and foreign savings, based on the framework extended from Feldstein and Horioka (1980). In particular, this paper focuses on the role of (East Asian) regional versus global saving in financing domestic investment in order to infer the relative importance of regional versus global capital markets in East Asia. The results show that Japanese saving has played an important role in financing domestic investment of emerging East Asian economies, while savings from G6 economies (G7 excluding Japan) have not been a significant factor. ______________________________________________________________________
The limited transformational power of adaptive governance: a study of institutionalization and materialization of adaptive governance

ABSTRACT Following the economic crisis in 2007–2008, many urban regeneration programmes were replaced with forms of adaptive governance (e.g. slow urbanism). This paper maps and analyses transformational effects of such adaptive governance initiatives through a case of neighbourhood restructuring. It studies whether adaptive governance institutionalizes – i.e. transforms the existing governance system – and whether it materializes in the built environment. It shows how the adaptive governance initiatives in this case failed to diffuse and endure, and, therefore, the transformational effect on both the existing governance system and the area has been limited. The reasons for this are discussed.
Electromagnetic and radiative Casson fluid flow over a permeable vertical Riga-plate

The convective Casson fluid flow past a Riga plate is investigated theoretically. The flow properties are elucidated through the analytical solutions of transport equations which are acquired by adopting the Laplace transform technique. This study mainly focuses on nonlinear flow characteristics under radiation, permeability and the wall parallel Lorentz force. The positive modified Hartmann number refers to the aiding flow which enhances the flow speed. The comparison between Newtonian and non-Newtonian fluid flow subject to the wall parallel Lorentz force has also been done graphically. Further, the results of this Casson fluid flow model correlated with the vertical flow under buoyancy effect.