Miracle-dz/UniFAR-FTUs huggingface dataset:
A rational model of sequential self-assessment

People’s assessment of their ability varies in whether it is measured once following a task or sequentially via confidence judgments recorded throughout. Multiple models have been developed to predict one-off judgments of performance, which have often distinguished between peoples’ biases about their general ability in a domain and their sensitivity to correctness. We propose a rational model of sequential self-assessment which allows us to make predictions about each individual separately—unlike in the one-off case which looks exclusively at the population level—and to identify, in addition to bias and sensitivity, the extent to which individuals’ beliefs are responsive to their most recent evidence over the course of a task. We fit our model to data where participants solve algebraic equations and show that bias, sensitivity, and responsiveness vary meaningfully across participants.
Neuromodulation Therapy in Heart Failure: Combined Use of Drugs and Devices

Heart failure (HF) is the fastest-growing cardiovascular disease globally. The autonomic nervous system plays an important role in the regulation and homeostasis of cardiac function but, once there is HF, it takes on a detrimental role in cardiac function that makes it a rational target. In this review, we cover the remodeling of the autonomic nervous system in HF and the latest treatments available targeting it.
REPUBLIC OF TURKEY FIRAT UNIVERSITY GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCE Gesture Learner Machine for Recognizing Symbols and Numbers

Hand Gesture Recognition (HGR) is a system that has gained a great and more powerful attention in the recent years. This is due to its useful applications and the ability to contact with machine effectively based on the concept of Human Computer Interaction (HCI). This thesis presents an approach for HGR system using a software tool. The developed system reads the real time image as an input and then it compares it with the training set samples of hand signs. In this approach, for detecting the threshold regions, skin detection technique has been used and for recognition process three Machine Learning methods have been used such as k-Nearest Neighbors (k-NN), Naïve Bayes (NB) and Support Vector Machine (SVM). The used hand gestures are for recognizing numbers and symbols available in the Iraqi sing language using a Kinect camera that has a depth sensor. The results presented in this thesis are realized in improving the communication between individuals with special needs and normal individuals. In addition, the presented work can be used as means for understanding the meaning of sign language in different countries.
Emergence Pattern and Mating Behavior of Apanteles flavipes(CAMERON)(Hymenoptera : Braconidae)

Emergence and mating of thc braconid ApantelesY7aL/ipes (CAi{ERoN) were studied both in the field and laboratory. Beth sexes emerged simultaneously usually within 2 hr after sunrise. Light played an important rele in the commencement of emcrgcnce. The timc required for total ernergence was 47.3 min on thc avcrage in 30 cocoon masses. On emerging the adults did not immediately fly away, buL remained on the undersurface of sugar cane
A NOVEL ALGORITHM OF KINEMATICS PARAMETERS MEASUREMENT FOR UPPER LIMB BASED ON MOTION CAPTURE

Joint position and joint angle are the basic kinematic parameters for the quantitative evaluation of upper limb motion ability, which are widely applied to calculate extremity reachable workspace and range of motion (ROM). The traditional measurement methods cannot meet the clinical requirements in accuracy, stability and real-time. This paper proposes a novel algorithm for measuring the kinematic parameters of upper limb by combining the kinematic chain method with the vector projection method. Firstly, the human upper limb motion model is simplified to a 7 degrees of freedom (DOF) motion model according to the anatomical principle, and the rigid body group is used to collect the upper limb kinematic parameters to realize the real-time tracking of trajectory and angle of the shoulder, elbow and wrist joints. Finally, a healthy volunteer experiment is designed, the results show that the algorithm can provide real-time and quantitative upper limb kinematic parameters, which can meet the data requirements of quantitative evaluation of upper limbs.
Diminution of Losses and Reliability improvement of distribution systems Using Genetic Optimization

In the current epoch of power system efficiency of power distribution system enhanced by number of method like genetic algorithm, simulated annealing, swarm optimization method etc. A genetic algorithm (GA) is a exploration or maximization algorithm based on the technicalities of natural selection and natural genetics. Since GA is suitable to solve combinatorial optimization tribulations, it can be effectively applied to problems of loss minimization in distribution systems. This paper proposes a general approach and a set of indices to assess some of the technological benefits in a quantitative manner. The index proposed is: 1) voltage profile improvement index; 2) line-loss reduction index. Simulation results obtained using a simple IEEE-14 bus test system is presented and discussed to illustrate the value and usefulness of the proposed approach. Key words-Genetic Optimization, power distribution system
Wearable Technology to Quantify the Nutritional Intake of Adults: Validation Study

Background Wearable and mobile sensor technologies can be useful tools in precision nutrition research and practice, but few are reliable for obtaining accurate and precise measurements of diet and nutrition. Objective This study aimed to assess the ability of wearable technology to monitor the nutritional intake of adult participants. This paper describes the development of a reference method to validate the wristband’s estimation of daily nutritional intake of 25 free-living study participants and to evaluate the accuracy (kcal/day) and practical utility of the technology. Methods Participants were asked to use a nutrition tracking wristband and an accompanying mobile app consistently for two 14-day test periods. A reference method was developed to validate the estimation of daily nutritional intake of participants by the wristband. The research team collaborated with a university dining facility to prepare and serve calibrated study meals and record the energy and macronutrient intake of each participant. A continuous glucose monitoring system was used to measure adherence with dietary reporting protocols, but these findings are not reported. Bland-Altman tests were used to compare the reference and test method outputs (kcal/day). Results A total of 304 input cases were collected of daily dietary intake of participants (kcal/day) measured by both reference and test methods. The Bland-Altman analysis had a mean bias of −105 kcal/day (SD 660), with 95% limits of agreement between −1400 and 1189. The regression equation of the plot was Y=−0.3401X+1963, which was significant (P<.001), indicating a tendency for the wristband to overestimate for lower calorie intake and underestimate for higher intake. Researchers observed transient signal loss from the sensor technology of the wristband to be a major source of error in computing dietary intake among participants. Conclusions This study documents high variability in the accuracy and utility of a wristband sensor to track nutritional intake, highlighting the need for reliable, effective measurement tools to facilitate accurate, precision-based technologies for personal dietary guidance and intervention.
The spatial distribution of FDI across European regions: does a country effect exist?

This study aims at investigating empirically the factors that drive the uneven distribution of foreign direct investments (FDI) inflows to European regions. In order to achieve our research objective, we first perform a detailed analysis of the location determinants of foreign investments and then we try to understand whether and to what extent regions' capacity to attract FDI is strengthen or hampered by a "country effect", which can take two different forms. The first relates to the relative performance of the country a region belongs to in Europe (between country effect), while the second concerns the relative performance of regions' within their own country (within country effect). Once identified the "national" and the "regional" components of factors able to attract FDI, more effective FDI promotion policies can be implemented at national, regional and sectoral levels.
Spam Review Detection

: Online shopping has become a convenient method for purchasing, be it a car booking or buying simple grocery items. Customers often read online reviews written for a product to decide whether they will purchase the product or not. A high number of positive reviews will increase the sale, whereas negative reviews will deteriorate the sales. Since the customer reviews have so much impact on the business of a product, spam reviews are written to promote or demote products or services. Consequently, manufacturers and dealers are worried about client reviews as these directly affect their organizations. In late years, the spam review issue has increased a lot of consideration from specialists, yet at the same time, there is a need to perform an investigation on true huge scope datasets. In this work, we use spammers ’ behavioural features to ascertain the spam score which is then used to distinguish spammers and spam reviews. Trial assessments are led on a true Amazon review data set which breaks down 198,502 reviews and the assessments show that the proposed model has significantly improved the recognition procedure of spam reviews. Specifically, behavioural techniques accomplished 98% precision.
EFFECT OF MATURITY AND SIZE OF STEM CUTTING ON ROOTING SUCCESS AND GROWTH IN DRAGON FRUIT

Ahsan-Ullah M, Rob MM, Habiba U, Hasan MM, Saha SR (2015) Effect of maturity and size of stem cutting on rooting success and growth in dragon fruit. Int. J. Sustain. Crop Prod. 10(4), 10-16. A study was carried out at BAU Germplasm Center, Department of Horticulture, Bangladesh Agricultural University, Mymensingh during 24 March, 2011 to 24 April, 2012 to investigate the effect of maturity and size of stem cutting on rooting success, days to root initiation, shoot number and plant height in two Dragon fruit varieties. All the treatments showed significant effect on the parameters studied. Shorter time was needed for first root initiation (27.42 days) which also produced taller plant (65.25 cm), primary (4.19 days), secondary (1.98), and tertiary (0.225) shoots number, and percent rooting success (100) by BAU Dragon fal-1. Matured cutting required comparatively shorter time for first root initiation (25.92 days), and produced the highest plant height (66.16 cm), primary (4.03), secondary (1.94), and tertiary (0.22) shoots number, and percent rooting success (100). In respect of stem cutting size, lowest time was required for first root initiation (26.32 days) with the tallest plant height (83.93 cm), primary (4.81), secondary (2.29), and tertiary (0.29) shoots number and percent rooting success (100) by the large cutting. The combined effect of three factors had also significant effect on the studied parameters. Minimum time was required for first root initiation (23.30 days) with the maximum plant height (89.54 cm), primary (5.26), secondary (2.5), and tertiary (0.33) shoots number by BAU Dragon fal-1 with large sized matured cutting.
Isolation and Screening of Efficient Phosphate Solubilizing Microorganisms From Different Soils

Present investigation compares the phosphate solubilizing potential of fungi (PSF) and bacteria (PSB), iso- lated from different soil rhizosphere. Most phosphate solubilizing capacity was observed in case of A. niger and B. subtilis than Penicillium sp. , and P. aeruginosa. The phosphate solubilizing efficiency of four isolates revealed, maximum reduction at pH at 6.0 on second day of incubation with Bacillus and Pseudomonas sp and on third day at pH 5, with Aspergillus niger & Peni- cillium. B. subtilis showed maximum phosphate solubilizing capacity (90%) and, A. niger found to be more efficient in solubilization (100%). A pot trial experiment was carried out using tomato plant seedlings. Two growth parameters % germination and height of seedlings over control after 30 days of sowing were studied. Maximum % germination and height of seedling was recorded in A. niger i.e. 100 % and 13 cm. followed by B. subtilis 90 % and 11 cm respectively. Control trials were found to be less as compared to all the tests is 60% and 5cm. Data from the present study support the hypothesis that liberation of organic acids is more with fungi than bacteria.
AERODYNAMIC INTERFERENCE OF POWER-PLANT SYSTEM ON A BLENDED WING BODY

The aim of this research is to study the aerodynamic characteristics of a blended wing body configuration (BWB) and the effects of the powerpland arrangement. Different studies have shown that the engines and inlets could be placed on pylons over the upper surface near the trailing edge of the central wing section. This arrangement is accepted to reduce the internal noise and to increase airccraft safety on the takeoff and landing stages. The present work presents an experimental analysis of the engine-airframe integration on a BWB configuration. In order to study the interference between the nacelle and the BWB, the pylon was not included.
Reviews: Markets and consequences

In this edited volume, the authors investigate whether the labour market transformations brought by globalization, combined with the ageing of populations, have consequences for the well-being of the elderly, specifically on their employment trajectories, their transition to retirement and their economic well-being. Using a comparative approach, the authors argue that national institutional arrangements, such as welfare and employment relations systems, have a fundamental intervening role in filtering the employment and income risks for the elderly; thus, they investigate whether country-specific institutions moderate the relationships among globalization, demographic changes and the economic well-being of older people in 10 western countries. The book is made up of three parts. In the first part, an introductory chapter (Chapter 1 by Buchholz, Rinklake, Schilling, Kurz, Schmelzer and Blossfeld) provides the backbone of the book by (1) developing the theoretical framework for answering the research questions posed by the authors, (2) spelling out the role of the national institutional settings and (3) specifying the hypotheses on the income and employment situation of the elderly in the countries under consideration. In this lucid chapter, the authors make a valid case in arguing that globalization, through the internationalization of the labour market and intensified competition, has led to accelerated growth and rapid economic change, which in turn has increased the pressure to relocate or dismiss workers. With the ageing of populations and the decrease of the working-age population, early retirement strategies, used in many countries up to the 1990s to remove workers from the overcrowded labour market while providing retirees with the economic resources to maintain their living status, became excessively burdensome for welfare states. The authors argue that, as a result of these processes, elderly workers might be at risk of employment and income insecurity in later life, if they are unable to prolong their working life efficiently, 544435 ISS0010.1177/0268580914544435International Sociology ReviewsReviews: Markets and consequences research-article2014
Exploring spatial non-stationarity of fisheries survey data using geographically weighted regression (GWR): an example from the Northwest Atlantic

Windle, M. J. S. , Rose, G. A. , Devillers, R. , and Fortin, M-J. 2010. Exploring spatial non-stationarity of fisheries survey data using geographically weighted regression (GWR): an example from the Northwest Atlantic. - ICES Journal of Marine Science, 67: 145-154.Analyses of fisheries data have traditionally been performed under the implicit assumption that ecological relationships do not vary within management areas (i.e. assuming spatially stationary processes). We question this assumption using a local modelling technique, geographically weighted regression (GWR), not previously used in fisheries analyses. Outputs of GWR are compared with those of global logistic regression and generalized additive models (GAMs) in predicting the distribution of northern cod off Newfoundland, Canada, based on environmental (temperature and distance from shore) and biological factors (snow crab and northern shrimp) from 2001. Results from the GWR models explained significantly more variability than the global logistic and GAM regressions, as shown by goodness-of-fit tests and a reduction in the spatial autocorrelation of model residuals. GWR results revealed spatial regions in the relationships between cod and explanatory variables and that the significance and direction of these relationships varied locally. A k-means cluster analysis based on GWR t-values was used to delineate distinct zones of species-environment relationships. The advantages and limitations of GWR are discussed in terms of potential application to fisheries ecology.
Product Development Analyzer using Document Clustering with Chatbot

: Descriptive document clustering consists of automatically organizing data instances into clusters and generating a descriptive summary for each cluster. The description should inform a user about the contents of each cluster without further examination of the speciﬁc instances , enabling a user to rapidly scan for relevant clusters. Selection of descriptions often relies on heuristic criteria. We have developed model descriptive clustering as an auto-encoder network that predicts features from cluster assignments and predicts cluster assignments from a subset of features. The subset of features used for predicting a cluster serves as its description. For text documents, the occurrence or count of words, phrases, or other attributes provides a sparse feature representation with interpretable feature labels. In the proposed network, cluster predictions are made using logistic regression models, and feature predictions rely on logistic or multinomial regression models. Optimizing these models leads to a completely self-tuned descriptive clustering approach that automatically selects the number of clusters and the number of features for each cluster. We applied the methodology to a variety of short text documents and showed that the selected clustering as evidenced by the selected feature subsets are associated with a meaningful topical organization.
Tracking virus outbreaks in the twenty-first century

Emerging viruses have the potential to impose substantial mortality, morbidity and economic burdens on human populations. Tracking the spread of infectious diseases to assist in their control has traditionally relied on the analysis of case data gathered as the outbreak proceeds. Here, we describe how many of the key questions in infectious disease epidemiology, from the initial detection and characterization of outbreak viruses, to transmission chain tracking and outbreak mapping, can now be much more accurately addressed using recent advances in virus sequencing and phylogenetics. We highlight the utility of this approach with the hypothetical outbreak of an unknown pathogen, ‘Disease X’, suggested by the World Health Organization to be a potential cause of a future major epidemic. We also outline the requirements and challenges, including the need for flexible platforms that generate sequence data in real-time, and for these data to be shared as widely and openly as possible.
Associative Learning in the Pond Snail, Lymnaea stagnalis

Dudai (1990) described that an ideal subject for studying the cellular and molecular bases of learning should, probably, have ten large nerve cells, ten genes, a generation time of 1 week, and the ability to play a cello and recite Shakespeare (note that this sentence originated with W. G. Quinn). Nobody knows such organisms, but gastropod molluscs are such compromises. Gastropod molluscs are excellent experimental preparations that not only neurobiologists but also psychologists are using to help understand the basic mechanisms underlying learning and memory. They have relatively simple central nervous systems (CNSs) with large, identifiable neurons. The neurons are accessible for detailed electrophysiological, biophysical, biochemical, and molecular studies. Such a small brain in invertebrate was recently termed “microbrain” by Mizunami et al. (1999). To date, many scientists have analyzed various neural mechanisms on production of complex, long-lasting behavioral changes of gastropod molluscs including Aplysia, Hermissenda, Limax, and so on (Alkon et al., 1993; Bailey and Kandel, 1993; Frank and Greenberg, 1994; Gelperin et al., 1996; Abel and Kandel, 1998; Alkon et al., 1998; Matzel et al., 1998; Silva et al., 1998; Ito et al., 1999; Kimura et al., 1999). Associative learning in the pond snail, Lymnaea stagnalis (Fig. 1), can be also used as an important system for investigating the neurobiology of learning and memory. It includes classical and operant conditioning, for example, using feeding behavior (Alexander et al., 1982; Audesirk et al., 1982; Kemenes and Benjamin, 1989a, b, 1994; Whelan and McCrohan, 1996; Kemenes et al., 1997; Staras et al., 1998, 1999a, b), respiratory behavior (Lukowiak et al., 1996, 1998; Hermann and Bulloch, 1998; Spencer et al., 1999), withdrawal behavior (Sakakibara et al., 1998), and the isolated brain (Veprintsev and Rosanov, 1967). We here review our recent findings for associative learning, particularly conditioned taste aversion (CTA), in L. stagnalis.
Systematics of Etheostoma tippecanoe and Etheostoma denoncourti (Perciformes: Percidae)

Abstract Recently, populations of Etheostoma tippecanoe from the Tennessee River drainage were described as a new species, Etheostoma denoncourti. Although populations of E. tippecanoe from the lower Tennessee River (Duck and Buffalo Rivers) were assigned to the new taxon, the species description did not contain an analysis of specimens from these rivers. To evaluate the phylogenetic placement of these unanalyzed populations with respect to all other populations of E. tippecanoe and E. denoncourti, we assembled a dataset composed of DNA sequences (complete cytochrome b) from 32 individuals representing all known populations of these species. Parsimony analysis of these populations, 11 other darter taxa, and five outgroup taxa resulted in 3868 equally most-parsimonous trees at 1687 steps. Populations from the Duck and Buffalo Rivers were always resolved as members of the newly described taxon, E. denoncourti, consistent with the original description. Further, E. tippecanoe and E. denoncourti were resolved as monophyletic sister taxa in all most-parsimonious trees. The amount of cytochrome b sequence divergence separating these two taxa (5.63%) is within the range observed for cytochrome b variation between other species of darters.