Miracle-dz/UniFAR-FTUs huggingface dataset:
Online identification of nonlinear multivariable processes using self‐generating RBF neural networks

This paper addresses the problem of online model identification for multivariable processes with nonlinear and time‐varying dynamic characteristics. For this purpose, two online multivariable identification approaches with self‐organizing neural network model structures will be presented. The two adaptive radial basis function (RBF) neural networks are called as the growing and pruning radial basis function (GAP‐RBF) and minimal resource allocation network (MRAN). The resulting identification algorithms start without a predefined model structure and the dynamic model is generated autonomously using the sequential input‐output data pairs in real‐time applications. The extended Kalman filter (EKF) learning algorithm has been extended for both of the adaptive RBF‐based neural network approaches to estimate the free parameters of the identified multivariable model. The unscented Kalman filter (UKF) has been proposed as an alternative learning algorithm to enhance the accuracy and robustness of nonlinear multivariable processes in both the GAP‐RBF and MRAN based approaches. In addition, this paper intends to study comparatively the general applicability of the particle filter (PF)‐based approaches for the case of non‐Gaussian noisy environments. For this purpose, the Unscented Particle Filter (UPF) is employed to be used as alternative to the EKF and UKF for online parameter estimation of self‐generating RBF neural networks. The performance of the proposed online identification approaches is evaluated on a highly nonlinear time‐varying multivariable non‐isothermal continuous stirred tank reactor (CSTR) benchmark problem. Simulation results demonstrate the good performances of all identification approaches, especially the GAP‐RBF approach incorporated with the UKF and UPF learning algorithms.
Preliminary Phytochemical Analysis of methanolic leaves extract of Solanum pubescens Willd.

The present study was aimed to investigate the preliminary phytochemical screening of the leaves of Solanum pubescens is a shrub in solanaceae family. It’s mainly found in Peninsular India and Sri Lanka. The plants are tribal’s for the treatment of several diseases Brain disorders, liver disorders, diarrhoeal diseases and cancer disorders injury with classical signs of warmth, reddening pain, swelling and loss of function.The present study was carried out to investigate the Phytochemical analysis shows the presence of alkaloid, glycoside, Saponins, Phenolic compounds Tanins, flavonoids, and shows the absent protein and amino acid,
A Fully Bayesian Approach for Combining Multilevel Failure Information in Fault Tree Quantification and Corresponding Optimal Resource Allocation

This paper presents a fully Bayesian approach that simultaneously combines basic event and statistically independent higher event-level failure data in fault tree quantification. Such higher-level data could correspond to train, sub-system or system failure events. The full Bayesian approach also allows the highest-level data that are usually available for existing facilities to be automatically propagated to lower levels. A simple example illustrates the proposed approach. The optimal allocation of resources for collecting additional data from a choice of different level events is also presented. The optimization is achieved using a genetic algorithm.
Predicting microscale shifts in the distribution of the butterfly Plebejus argus at the northern edge of its range

Species are often observed to occur in restricted patches of particularly warm microclimate at their high latitude/altitude geographic range margin. In these areas, global warming is expected to cause small-scale expansion of the occupied area, but most previous studies of range expansion have used very coarse scale data. Using high resolution microclimate models together with detailed field surveys, we tested whether the butterfly Plebejus argus, occurring on limestone grassland in north Wales, was responding as might be expected due to climate change in the last 30–40 yr. The abundance of adult Plebejus argus at 100 m resolution in 2011 was strongly affected by elevation and near-ground temperatures in May. A statistical model including microclimate, fitted to 2011 data, was successful (67% correct) at hindcasting the occurrence of Plebejus argus in 1983 when the average May air temperature was 1.4°C cooler. However, the model was less accurate at hindcasting occurrences in 1972 (50% correct). Given the distribution of micro-sites in this landscape, we predict that further warming of approximately 1°C would make the majority of sites highly microclimatically suitable for this species. There are a growing number of long-term studies of range change, and investigations into the mechanisms driving them, but still surprisingly few that explicitly make and test predictions with independent data. Our tests are a valuable example of how accurate predictions of distribution change can be, but also of the inevitable uncertainties. Improved understanding of how well models predict will be very important to plan robust climate change adaptation measures.
EFFECTS OF ACADEMIC QUALIFICATIONS ON MALAYSIAN ENGLISH LANGUAGE TEACHERS’ SUBJECT MATTER KNOWLEDGE OF LITERARY DEVICES

Previous studies in the West have shown teachers who are academically qualified in specific subjects are able to teach better than those with degrees in non-specific subjects (Goldhaber and Brewer, 1996). Such studies within the local context are limited. As such, this study examines the effects of academic qualifications on the subject matter knowledge of literary devices among secondary school English language teachers in a northern district in Malaysia. The analysis revealed that academic qualifications had significantly influenced the subject matter knowledge of literary devices and such knowledge differ significantly among the English major and English minor, TESL and KPLI or Post-graduate Teaching Programme English language teachers. Specifically, the English major language teachers had better subject matter knowledge of literary devices than the non-English major language teachers. The TESL teachers were better than the non-TESL teachers in their subject matter knowledge of literary devices. The subject matter knowledge of literary devices amongst the KPLI English language teachers was lower compared to the non-KPLI language teachers.
Studies on the Variations of ELF Atmospherics over Kolkata

The atmospheric radio noise field strength (ARNFS) at 700 Hz and 2100 Hz over Kolkata (Lat. 22.56 ◦ N, Long. 88.5 ◦ E) exhibits various char- acteristic patterns of diurnal and seasonal variations. Some distinctive features at these two frequencies have been observed in respect of the level of ARNFS during all the months, the fall of level from nighttime to daytime value, the correlation in sunrise time and the role of cloud activity upon the seasonal max- imum. The outcome of analysis of the recorded data will be presented in this paper.
Simulating nitrogen fertilizer response in low-input farming systems of Malawi. 1. Validation of crop response.

This paper reports on the validation of the Agricultural Production Systems Simulator (APSIM) model for simulating the response of maize to N fertilizer in low-input maize production systems in Malawi and Zimbabwe, with a special focus on the marginal benefit from using small amounts of fertilizer, rather than applying it at optimal rates. In 1998/99, in experimental plots where no N fertilizer was applied, yields varied from 442 to 4,800 kg/ha across 5 sites. The model simulated yields in the range of 1,277-4,784 kg/ha for the same locations. Actual response to 69 kg/ha of applied N varied over the 5 experimental sites chosen for the validation exercise using data for 1997/98 and 1998/99. The model accurately simulated a response to applied Nat four of the five trial sites selected for the validation test. Correct citation: Robertson, M. , T. Benson and Z. Shamudzarira (2000) Simulating nitrogen fertilizer response in low-input farming systems of Malawi. 1. Validation of crop response. Risk Management Working Paper Series 00/01. Mexico, D.F. : CIMMYT. AGROVOC Descriptors: Maize; Simulation models; Nitrogen fertilizers; Malawi; Zimbabwe AGRIS Category Codes: E16 Production EconomicsElO Agricultural Economics and Policies
Context-Aware Recommendation Methods

— A context-aware recommender system attempts to generate better recommendations using contextual information. However, generating recommendations for specific contexts have been challenging because of the difficulties in using contextual information to enhance the capabilities of recommender systems. Several methods have been used to incorporate contextual information into traditional recommendation algorithms and data modeling techniques. These methods focus on incorporating contextual information to improve general recommendations for users rather than identifying the different context applicable to the user and providing recommendations geared towards those specific contexts. We develop two methods: the first method attaches user preference across multiple contextual conditions, assuming that user preference remains the same, but the suitability of items differs across different contextual conditions. The second method assumes that item suitability remains the same across different contextual conditions but user preference changes. We perform some experiments on the last.fm dataset to evaluate our methods. We also compared our work to other context-aware recommendation approaches. Our results show that grouping ratings by context and jointly factorizing with common factors improves prediction accuracy.
The Effect of Game-Based Learning on Title 1 Elementary Students' Math Achievement

ii Dedication . iv Acknowledgements . v List of Tables . xi List of Figures . xii Chapter 1: Introduction . 1 Background . 2 Game-Based Learning and Student Motivation . 3 Game-Based Learning and Student Engagement . 4 Game-Based Learning and Student Confidence . 5 Game-Based Learning and Student Achievement . 5 Problem Statement . 6 Purpose of the Study . 7 Significance of the Study . 7 Research Question and Hypotheses . 7 Research Design . 8 Assumptions, Limitations, and Delimitations . 10 Summary . 11 Chapter 2: Introduction to the Literature Review . 12 Conceptual Framework . 15 Technology and Game-Based Learning . 19 Achievement Gaps for Low-Income Learners in Elementary Mathematics . 20
Testing the Adaptive Plasticity Hypothesis: Density-Dependent Selection on Manipulated Stem Length in Impatiens capensis

In plants, stem elongation at high density in response to vegetation shade is hypothesized to be an example of adaptive phenotypic plasticity. Elongated stems may increase the light capture for plants in dense stands, while nonelongated stems may be favored for plants in low density. We tested the adaptive value of plastic stem elongation in Impatiens capensis by manipulating the controlling light cue, red to far red ratio, to produce elongated and nonelongated plants. These plants were then transplanted into high and low densities in a natural population. The results supported the adaptive plasticity hypothesis; elongated plants were more fit at high density, and suppressed plants were more fit at low density. Phenotypic selection analysis revealed selection for increased height in high density and for decreased height relative to leaf length in low density. Elongated plants showed less growth of the second internode at 2 wk after transplantation in both densities, which suggests a cost of elongation. Direct selection on height explained the fitness differences between suppressed and elongated plants at high density, but it did not completely explain the lower fitness of elongated plants at low density, which implies an intrinsic cost of elongation independent of selection on morphology.
although the exact mechanisms and the regulatory pathways involved in the effects of exercise on platelet function are not completely understood. Also in humans the effect of physical exercise on platelet aggregation and its functions

Eight clinically healthy Sella Italiana horses were used in order to assess the variations of platelet aggregation in response to different workload. Blood samples were collected from each horse at rest, immediately after exercise and 30 min after the end of the exercise. By means of an aggregometer platelet aggregation was quantitated as maximum degree of platelet aggregation and initial velocity platelet aggregation. Two-way repeated measures analysis of variance (ANOVA) was applied to determine significant differences (p<0.05) due to the intensity of exercise and different experimental condition. Our results showed a similar trend of platelet aggregation between treadmill and obstacle course, but statistically significant differences emerged on studied parameters in relation to different workload. These results showed an inhibition of platelet response that probably represents a protective endothelial mechanism through the production of nitric oxide during different workloads in athletic horses.
A Graduate Course in Agile Manufacturing

In face of recent global competition, a significant paradigm -- agile manufacturing -- is emerging, where multiple firms cooperate under flexible virtual enterprise structures. To address manufacturing education needs to promote and understand agile manufacturing concepts, a unique graduate level course is being offered at the Department of Industrial Engineering, SUNY-Buffalo. This graduate level course covers topics, enabling techniques/technologies, and case projects in agile manufacturing. It provides a core set of fundamental tools, example applications and open research topics. The objective is to expose participants to agile manufacturing issues, and enable them to creatively synthesize and apply the tools covered to open research problems. It blends quantitative and qualitative material, from multiple disciplines of industrial, manufacturing and management engineering. The specific objectives of this paper are to discuss the design and experiences of this course. Further, it is our desire to share the motivation behind the relevance of such a course, and some of the challenges in designing and offering it. We would also like to propose some possible directions in which academia could focus so that a skilled and empowered manufacturing profession base can
Simulated shifts in trophic niche breadth modulate range loss of alpine butterflies under climate change

Species currently track suitable abiotic and biotic conditions under ongoing climate change. Adjustments of trophic interactions may provide a mechanism for population persistence, an option that is rarely included in model projections. Here, we model the future distribution, of butterflies in the western Alps of Switzerland under climate change, simulating potential diet expansion resulting from adaptive behavior or new host opportunities. We projected the distribution of 60 butterfly and 298 plant species with species distribution models (SDMs) under three climate change scenarios. From known host plants, we allowed a potential diet expansion based on phylogenetic constraints. We assessed whether diet expansion could reduce the rate of expected regional species extinction under climate change. We found that the risk of species extinctions decreased with a concave upward decreasing shape when expanding the host plant range. A diet expansion to even a few phylogenetically closely related host plants would significantly decrease extinction rates. Yet, even when considering expansion toward all plant species available in the study area, the overall regional extinction risk would remain high. Ecological or evolutionary shifts to new host plants may attenuate extinction risk, but the severe decline of suitable abiotic conditions is still expected to drive many species to local extinction.
Global industrial process monitoring using raspberry pi controller

This project proposes an advanced system for process management via a credit card sized single board computer called raspberry pi based multi parameter monitoring hardware system designed using RS232 and microcontroller that measures and controls various global parameters. The entire system is designed with the double layer SMD based embedded board with different sensors and a raspberry pi that can compile and communicate the data received from the sensors. The raspberry pi when operated on the Linux operating system can perform multi-tasking. There are varieties of methods to monitor the data remotely obtained by various sensors. But there is need of robust and easy to use computerized system. As computerized system involves high implementation costs, there is need of alternative solution in terms of equal robustness and cost effective.
Using Classification Models to Predict Wine’s Quality

The development of data mining and chemistry industry bring us many options to predict the quality of wine. It is hard to say which method is the best one. In this paper, we try to find a more accurate method to predict the quality. At first, we use random-sampling method to preprocess the data. Several classification models are used in this paper, such as random forest and decision tree. After the comparison, random forest has the best performance. We also find the correlation of each attribute and the quality. It is impressive to find an accurate method to predict the quality of wine. It can bring a lot of benefits to wine industry.
The association between cognitive decline and short-term blood pressure variability in middle-aged patients with primary hypertension — a pilot study

Introduction. Hypertension (HTN) is a common cause of cognitive dysfunction. Current data emphasize a role of HTN in the development of unfavourable vascular remodelling and changes in cerebral microcirculation, leading to cognitive decline. In this study, we sought associations between circadian blood pressure variability (BPV) in a 24h blood pressure ambulatory monitoring (ABPM) and cognitive decline in middle-aged hypertensive patients. Material and methods. The study group comprised 42 patients with uncomplicated hypertension (24 females, 18 males; mean age: 59.1 ± 6.1 years). BPV was assessed by ABPM and expressed in standard deviation (24 MAP SD) and coefficient of variation (CV). Cognitive performance was evaluated using Mini-Mental State Examination (MMSE), Clock Drawing Test (CDT) and Montreal Assessment Cognitive Scale (MoCA). Results. In the whole study group, MMSE and CDT scores were within the normal range, but the mean scores were lowered in the MoCA test. All of the neuropsychological test scores were comparable in groups with normal and abnormal (non-dipper) blood pressure patterns. Among the analyzed BPV indicators, CV was negatively correlated with CDT and MoCA scores. 24 MAP expressed in standard deviations was also negatively correlated with CDT scores. In the multivariate analysis, MoCA scores were inversely associated with CV after adjusting for age, gender, education and abnormal lipid profiles. Mean MoCA scores were significantly lower in men in comparison to women. Conclusions. In this pilot-based study, mild cognitive impairment in middle-aged patients with long-lasting uncomplicated hypertension may be associated with increased diurnal variability of blood pressure.
Effects of Elastane Draw Ratio of Core-spun Yarn on Air Permeability and Bursting Strength of Bi-Stretch Woven Fabrics

Bi-stretch woven fabrics are widely used owing to their good physical comfort properties. In this study, it is aimed to investigate the effect of elastane draw ratio in the core-spun yarn on the air permeability and bursting strength of bi-stretch woven fabrics. For this aim, 20 Tex cotton combed ring spun yarn samples were produced with four different levels of draw ratio of elastane core (3.07, 3.33, 3.63, 3.99) in the yarn. Four woven fabric samples were produced by using these sample yarns as weft with 2/1 twill weave type. Then the air permeability and bursting strength properties of the samples were tested in dry relaxed and laundered states. Analysis of variance (ANOVA) was applied to determine the effect of elastane draw ratio in the yarn and relaxation type on fabric air permeability, bursting strength and bursting height, statistically.
Dry deposition parameterization in a chemistry general circulation model and its influence on the distribution of reactive trace gases.

A dry deposition scheme has been developed for the chemistry general circulation model to improve the description of the removal of chemically reactive trace gases at the earth's surface. The chemistry scheme simulates background CH 4 -CO-NO x -HO x photochemistry and calculates concentrations of, for example, HNO 3 , NO x , and O 3 . A resistance analog is used to parameterize the dry deposition velocity for these gases. The aerodynamic resistance is calculated from the model boundary layer stability, wind speed, and surface roughness, and a quasi-laminar boundary layer resistance is incorporated. The stomatal resistance is explicitly calculated and combined with representative cuticle and mesophyll resistances for each trace gas. The new scheme contributes to internal consistency in the model, in particular with respect to diurnal and seasonal cycles in both the chemistry and the planetary boundary layer processes and surface characteristics that control dry deposition. Evaluation of the model indicates satisfactory agreement between calculated and observed deposition velocities. Comparison of the results with model simulations in which the deposition velocity was kept constant indicates significant relative differences in deposition fluxes and surface layer trace gas concentrations up to about ±35%. Shortcomings are discussed, for example, violation of the constant flux approach for the surface layer, the lacking canopy description, and effects of surface water layers.
A Taxonomic Revision of the New World Jays

The generic and sub-generic classification of the New World jays employed by Blake (in Mayr and Greenway 1962:206-228) perpetuates a system largely similar to that of the earliest authoritative works on New World birds (e.g., Sharpe 1877). Blake does submerge Uroleuca Temminck and Xanthoura Nelson, which were still recognized by Hellmayr (1934:29, 30) but does not follow recommendations for mass lumping of genera proposed by Amadon (1944a). Phillips et al. (1964:106) have since also recommended large scale amalgamation of genera in this assemblage. Amadon's recommendations were premature; information on these jays gathered and published during the past two decades has negated some of his conclusions. Phillips et al. and Phillips (1966:110-112) are obviously aware of the accumulated knowledge on general biology, behavior, and vocalizations, especially on the previously almost unknown Neotropical species, but do not provide taxonomic revision of genera taking consistent account of this knowledge. The remarks of Phillips et al. (1964:106) supporting their proposed merger of genera are differentiated from the earlier statement