Miracle-dz/UniFAR-FTUs huggingface dataset:
A Survey on Opinion Mining Of Associations for Related Entities from Hindi Text: Future Research Opportunities

Opinion mining is a field dedicated towards classification of writer’s opinion. Considerable work in opinion mining has been done for deriving writer’s opinion from English unstructured text appearing on the web and in mobile applications. There is an urgent need to develop resources and identify approaches that facilitate to scale up opinion mining solutions for Hindi unstructured web and mobile application contents. This survey has been conducted with an objective to trace the development in this field and to identify gaps and derive research opportunities for opinion mining from unstructured text in Hindi language. Highlights of the analysis are the identified research opportunities in polarity classification of associated entities. Various areas that can be explored for opinion mining from web contents in Hindi and languages other than English are suggested in this paper. A proposed software framework for polarity classification of associated entities is presented in this paper. With slight domain specific modifications, the proposed framework can be re-used for developing opinion mining system for texts with cause and effect relationship between entities in other domains and languages also.
Facial Expression Recognition Using Three Step Recognition Approach

- People are attack of producing numerous facial exercises all through correspondence that change done multifaceted nature, power, and Furthermore significance. This paper reason might be will recall humankind's sentiments As far as glad, dismal, disturb, and shock, unprejudiced. In this paper, A framework for limitation And extraction about faces Also trademark facial highlights for instance, to such an extent that eyes, mouth Furthermore confront limits beginning with shade picture data will be proposed. This methodology abuses shade properties from guaranteeing human skin with keep picture areas confront hopefuls. Those facial Characteristics extraction might be performed best for preselected confront competitor regions. Moreover, for eyes and mouth confinement shade information and close-by contrast keeping around eyes would use. In Existing work Represent the ability of distinguishing the false acknowledgment rate is 18% while the false dismissal rate is simply 5% and my methodology has the capacity of recognizing the false acknowledgment rate is 14.5% while the false dismissal rate is simply 7.66%. In above outcome creator figure result physically.
Hybridization Of Stdl With Optimal Kernel Extreme Learning Machine (Okelm) Based Short Term Crude Oil Price Forecasting In Commodity Futures Market

: Futures markets offer contemporary price quotations for a group of contracts with maturities twelve or more months in the future. It coherently determines price levels and price variations suitable for contract temporal definitions. Crude oil is an essential kind of energy and its prices have a huge influence on worldwide financial system. So, it is highly needed to predict the price of crude oil precisely for investors, government, and also academicians. But, because of the non-linearity and non-static prices of crude oil prices, it is a challenging task for the conventional models of time series forecasting for managing it. This study proposes a new hybridization of seasonal-trend decomposition procedures based on loess (STDL) and optimal kernel extreme learning machines (OKELM) for short-term and mid-term forecasting of every day close price of CRUDE OIL index. The parameter tuning of ELM takes place by the use of grey wolf optimization algorithm (GWO) to further enhance the prediction performance of the ELM. The validation of the proposed work takes place by the use of two performance measures namely MASE and SMAPE. The experimental outcome showed the superiority of the proposed model over the compared methods.
Tailored flower strips promote natural enemy biodiversity and pest control in potato crops

Sown flower strips are increasingly implemented within agri-environment schemes (AES) to increase functional biodiversity and ecosystem services such as pollination or natural pest control, but their effectiveness in achieving these goals remains poorly studied. We tested the performance of experimentally sown annual flower strips specifically designed to promote natural enemies of aphids and their pest control services (tailored flower strips) in adjacent potato crops (n = 8) compared with control fields (n = 10). Flower strips consisted of 11 plant species providing abundant floral and extra-floral resources. The abundance of key natural enemies of aphids (hoverflies, lacewings and ladybirds) and hoverfly species richness was greatly enhanced in tailored flower strips compared with potato control strips. This resulted in an average increase in the number of eggs deposited by hoverflies and lacewings by 127% and 48%, respectively, and a reduction in the number of aphids by 75% in adjacent potato crops. Synthesis and applications. We conclude that tailored flower strips can be an effective agri-environmental measure to enhance natural enemies and aphid control in nearby crops. Indeed, tailored flower strips may help to reduce insecticide input in potato production as they significantly decrease the probability that action thresholds are reached. Promoting natural enemy abundance and diversity, as observed for hoverflies, may increase the stability of pest control and provide additional benefits to agro-ecosystems in terms of natural enemy conservation. We thus recommend establishing tailored flower strips as a promising management option to reconcile the objectives of ecological intensification and biodiversity conservation.
Cooperative breeding in marmots

Whenever individuals live in stable social groups and not all individuals breed, group members may breed cooperatively. While well-documented in a variety of birds and mammals, there is some controversy over whether, and to what degree, sciurid rodents breed cooperatively. We identify cooperative breeding when: individuals delay dispersal beyond reproductive maturity, reproduction in mature individuals is suppressed, and when non-breeders provide alloparental care. In this paper we note that the 14 species of marmots (Marmota spp.), large ground-dwelling sciurid rodents found throughout the Northern Hemisphere, provide an excellent taxon in which to study the evolution of cooperative breeding. Marmot species fit none, some, or all of the attributes of cooperative breeding. Most interestingly, delayed dispersal and alloparental care may be de-coupled interspecifically, and possibly intraspecifically, making marmots an excellent taxon for additional study. Environmental harshness increases maturation time and is associated with dispersal delayed beyond reproductive maturity. The opportunity to gain direct fitness may be associated with gaining indirect fitness by alloparental behavior. In addition to its theoretical attraction, cooperative breeding has profound implications for conservation and management of species that breed cooperatively. To maximize marmot production, managers and breeders need to pay particular attention to social group structure to prevent the expression of reproductive suppression. If cooperative breeding results from an environmental constraint, habitat modifications may increase the percent of females that breed.
Role of Soil Microbes in Agriculture; A Review

Soil provides base for agriculture crop production and microbial activity is very important to improve soil health for healthy crop growth because microorganisms play an important role in building a complex link between plants and soil. Soil microbes are a dynamic component of soil and performed many beneficial functions in the soil system. Microbes helps in different biological transformation such as organic matter conversion and biological nitrogen fixation. Moreover, they enhanced the availability of nutrients to the plants. Typically, one gram of soil having more than 90 million bacteria help plants in nutrient uptake by conversion of unavailable nutrients into available form. Due to lack of knowledge regarding their importance, people think about the negative impact of microorganisms because in many cases microbes act as disease-causing agents. However, according to the agricultural point of view microbes are very well beneficial for plant growth. Now a day’s biotic stress is a big challenge for agrarian because dramatic increase in the human population is causing land degradation and reduces the microbial population which ultimately negatively affect the plant growth. Therefore, the present review describes the role of soil microbes in agricultural crop production.
TOWARDS NEW PUBLIC EMPLOYMENT SERVICES ? THE IMPLEMENTATION OF THE MEASURES INTRODUCED BY THE JOBS ACT

The reorganization of the public employment services (PES) may represent the mother of all challenges for the Jobs Act. This work will aim to understand the direction of change that Italian PES may undertake, analysing the impact of the new mechanisms introduced by the Jobs Act and paying particular attention to the features of the public-private governance of the system. Here, we will try to find some comprehensive indicators, in the attempt to summarise these different regional configurations, including also variables related to regional political systems. Then, in light of this operation, we will be able to analyse characteristics of local systems of PES, using a specific governance profile for each region, making some hypotheses based on very simple assumptions. At the same time, a term of comparison to understand the process of reform regarding Italian PES can be delivered from the comprehension of the German system of labour market policies, interested by a deep process of reorganization during the so called “Hartz reforms” in the Two-thousands. The context of the reform Last labour market reforms have brought in a new light the Italian system of public employment services (PES), gaining a renewed strategic role in the redefinition of the labour market policies of this country. In particular, here we are focusing on the delegation about the modernization of PES contained in the “Jobs Act” (law 183/2014). For this, much attention will be given to the decree 150/2015, with the institution of the new state agency called Agenzia Nazionale per le Politiche Attive
Consequences and incentives for EU politicization in the domestic parliamentary arena: new quest for democracy in times of economic crisis?

In consideration of the traditional and quite diffuse lack of attention devoted by national parliamentarians to EU affairs, especially in the most pro-Europe countries (Hooghe and Marks 2009; Green-Pedersen 2012), the research is aimed at investigating incentives for parliamentary party actors activation towards Brussels in times of economic crisis, being considered crises as referenda important opportunity structures for politicising the EU (De Wilde & Zürn 2012).
12º WORKSHOP ROBÓTICA COGNITIVA RoboCity2030

Most of the intelligence of cognitive robots lies on their software, the way they manage knowledge and coordinate their sensing and actuation capabilities. In the last years several frameworks have appeared that simplify and speed up the development of robot applications. They favor the code reuse and take benefits from modern software engineering techniques. This paper presents recent advances in the open source robotics framework Jderobot (http://jderobot.org). It is a distributed and component oriented software architecture which uses explicit interfaces among components and ICE as communication middleware. Jderobot provides many tools for the programming of cognitive robots: a template for controller components, visual Finite State Machine creation, a library for fuzzy controllers, recording and replaying sensor data, etc. It also includes tools to use new RGB-D sensors like Kinect or Xtion and support for the newest release of Gazebo simulator, which is becoming a de facto standard. The main new features and tools are described in detail. Jderobot framework has more than 60000 lines of code and includes more than 30 different components. Two recent improvements are related with a better project management using CMake and simpler installation using Debian packages. This software has
MODELING AND EVALUATION OF SOLAR PHOTOVOLTAIC EMULATOR BASED ON SIMULINK MODEL

This paper presents the modeling and simulation of Solar Photovoltaic Emulator utilizing Buck Converter under MATLAB/Simulink software. The proposed model is designed using SimPower toolbox of Simulink block libraries. The characteristics of Photovoltaic Emulator model was tested by varying the value of load and considering the effect of irradiance and temperature variation. The output characteristics of Photovoltaic Emulator model is verified by comparing to the characteristics of the actual PV module. The Shell SP75 PV module is chosen as a reference for this simulation. The proposed Photovoltaic Emulator was found to be valid and accurate for any irradiance and temperature variations.
Gender and leadership in organizations: Promotions, demotions and angry workers∗

Managerial decisions, such as promotions and demotions, please some employees and upset others. We examine whether having to communicate such decisions to employees, and knowing that employees may react badly, have a differential impact on men’s and women’s self-selection into leadership roles and their performance if they become leaders. In a novel laboratory experiment that simulates corporate decisionmaking, we find that women are significantly less likely to self-select into a managerial position when employees can send them angry messages. Once in the manager role, there is some evidence of gender differences in decision-making, but no difference in final outcomes, i.e., overall profits. Male and female managers use different language to motivate their employees, yet differences in communication styles emerge only when workers can send angry messages to managers. Finally, low-rank employees send more angry messages to female managers, and are more likely to question their decisions. JEL Codes: C92, D91, J16
Traditional Knowledge of Indigenous Communities of Rajasthan and Environment ( A Short Review )

Email: leela.kaur@gmail.com ABSTRACT Today, indigenous communities are facing a serious crisis of survival due to ecological imbalance and the deteriorating status of the environment. Modernization, changes in cultural, ethical and moral values, the devaluation of indigenous knowledge, lack of traditional practices, dislocation of tribal communities due to large scale development projects and derisory rehabilitation ways are some of the major factors that have altered and weakened both traditions of indigenous communities and nature. The need of the hour is to understand the traditions, knowledge and practices of India in general and tribal communities in particular for environmental conservation. The present paper explores the traditional knowledge of indigenous communities of India particularly Rajasthan in conservation and management of environment. Their storehouse of knowledge leads to many discoveries for modern pharmaceutical products, however patent laws are inadequate to protect traditional knowledge and biodiversity. The rights of tribal people can be defended by creating a community biodiversity register (CBR) of local products and their uses. Proper documentation of traditional tribal knowledge, conservation beliefs and values, environmentally acclimatize land use, natural resource management practices and defense could be supportive in environmental protection. For sustainable conservation of natural resources of the tribal area, there is a great necessity to sensitize the tribal communities about the plantation, afforestation, rainwater harvesting, use of bio-pesticides and bio-fertilizers along with proper sanitation.
Root Topographic Study on Molars with Furcation Involvements inTaiwanese Adults: A Risk Analysis of Furcation Entrance Dimension andRoot Trunk Length

The present study was to investigate the Topography of Root Trunk type (RTT) and Furcation Entrance Dimension (FED) on extracted molars affected with advanced periodontitis and furcation involvement (FI). A total 169 extracted maxillary and mandibular molars (165 patients) affected with severely advanced periodontal destruction. The RTT was categorized as A, B, C, and the FED was clarified into subclass -1, -2, and -3, respectively. Results showed that the prevalence of mandibular second molars with RTT-C and FED-1 occurs higher; (33.0%), and the relationship between RTT and FED is significance (p<0.005). In addition, the relationship between RTT-C and FED-1 also shows a statistical significance (p<0.01) on the buccal surface (41.5%) of the mandibular second molar. It was concluded that teeth with RTT-C and FED-1, affected the highest risk at the mandibular second molars with Class III FI as compared to other molars during evaluation of periodontal prognosis.
CoxPhLb: An R Package for Analyzing Length Biased Data under Cox Model

Data subject to length-biased sampling are frequently encountered in various applications including prevalent cohort studies and are considered as a special case of left-truncated data under the stationarity assumption. Many semiparametric regression methods have been proposed for length-biased data to model the association between covariates and the survival outcome of interest. In this paper, we present a brief review of the statistical methodologies established for the analysis of length-biased data under the Cox model, which is the most commonly adopted semiparametric model, and introduce an R package CoxPhLb that implements these methods. Specifically, the package includes features such as fitting the Cox model to explore covariate effects on survival times and checking the proportional hazards model assumptions and the stationarity assumption. We illustrate usage of the package with a simulated data example and a real dataset, the Channing House data, which are publicly available.
New diagnostic pathways for mitochondrial disease

Mitochondrial diseases collectively represent the most common cause of inherited metabolic disease. They are estimated to affect at least 1 in 8,000 adults and at least 1 in 250 adults carry a disease-causing genetic mutation. They comprise a heterogeneous group of disorders caused by mutations in either the nuclear or mitochondrial genome, which ultimately result in dysfunction of the critical cellular energy producing mitochondrial respiratory chain. Owing to the key role of mitochondria in energy production, mitochondrial disorders predominantly manifest in tissues with high metabolic demand. However, they demonstrate significant phenotypic and genotypic variability, often rendering the diagnostic process protracted and challenging. Since Luft’s first description of mitochondrial disease nearly 60 years ago, substantial evolution in diagnostic techniques have simultaneously improved the diagnosis and understanding of mitochondrial disease and biology, but the standard diagnostic approach has failed to evolve at the same pace. Although sequencing technologies and analysis for the diagnosis of mitochondrial disease continue to evolve, advances to date, our expanding understanding of mitochondrial diseases and the increasing affordability of these new technologies justify a paradigm shift in the diagnostic approach. We review the progression, impact and challenges of diagnosing mitochondrial diseases and propose a minimally invasive “genetics first” approach incorporating stratification using non-invasive biomarkers, followed by non-targeted next-generation sequencing, such as whole genome sequencing. Such an approach may improve diagnostic yield and streamline diagnosis, leaving invasive investigations to address diagnostic challenges and functional validation of novel variants.
DETECTION OF PLASMODIUM FALCIPARUM DIRECTLY FROM BLOOD SAMPLES USING THE POLYMERASE CHAIN REACTION

Malaria remains one of the major causes of human morbidity and mortality, particularly in some developing countries such as Iran. The importation of malaria also into a place or region where they are not endemic raises many concerns, including the timely delivery of appropriate care, safety of the blood supply, the risk of autochthonous and transmission. Although different methods are applicable for detection of parasites which cause malaria, some of them do not have enough sensitivity. In this study a direct polymerase chain reaction (PCR) and light microscopy approaches were compared to detect Plasmodium falciparum in terms of sensitivity and specificity using blood samples from people with malarialike symptoms and fever. A target DNA sequence of the plasmodial 18S ribosomal DNA (206 bp) was amplified by PCR. The assay showed a threshold of parasite density (detection limit) of one P. falciparum parasite/20microliter. Matching results were obtained for 18 people who presented malaria-like symptoms and fever. Our results showed that the direct PCR method proved to be a more sensitive and useful tool than the light microscopy assay to determine P. falciparum. Microscopy assay showed a low sensitivity (37.3%) when compared with falciparum-DNA detection by direct PCR (87.5%). In conclusion it was determined that direct PCR is a reliable method for detection of malaria parasites and it may be a useful tool for detection of other parasites as well.
Enhanced Architecture Design for Tri Layer Communication Using Communal Micro blog Information

- Initially and as usual the user can sign up in the social network. While signing up in the social network, the user need provide all the personal and educational information for the user profile. After creating the social network account, the users may search for new friends and they may chat with the friends, the advanced micro blogging information considers only the public data and public chats. A micro data array will be created for the user. The micro array consists of the entire user’s most important information only. Automatically the micro array details will send and search through the E-Commerce application. Here the artificial neural network will works as a third party agent and the agent will retrieves all the recommended products, as micro blogging information. A panel will be design in the social network for displaying the recommended product details. All the displayed products will be more relevant to the user’s profile. The generated micro blogging information contains an alphanumerical characters like (A34#ULKNELRL*! ). The micro blogging information has been generated using Artificial Neural Network (ANN) and Advanced text categorization. This micro blogging information will reduce the time of data retrieval from social network to ecommerce application. The same architecture has been enhanced for new channels, here three news channels taken for the consideration. And this is the third tier among the two tiers. As mentioned above the same micro blogging information generated for news channels also. Here the only the relevant news for the user will be displayed, so that they can quickly go through the news updates. In added with search options also provided for other news information like, user can search the news area wise, city wise and state wise. All the information will be shown in a single window.