Miracle-dz/UniFAR-FTUs huggingface dataset:
Finite element response sensitivity analysis using three‐field mixed formulation: general theory and application to frame structures

This paper presents a method to compute response sensitivities of finite element models of structures based on a three‐field mixed formulation. The methodology is based on the direct differentiation method (DDM), and produces the response sensitivities consistent with the numerical finite element response. The general formulation is specialized to frame finite elements and details related to a newly developed steel–concrete composite frame element are provided. DDM sensitivity results are validated through the forward finite difference method (FDM) using a finite element model of a realistic steel–concrete composite frame subjected to quasi‐static and dynamic loading. The finite element model of the structure considered is constructed using both monolithic frame elements and composite frame elements with deformable shear connection based on the three‐field mixed formulation. The addition of the analytical sensitivity computation algorithm presented in this paper extends the use of finite elements based on a three‐field mixed formulation to applications that require finite element response sensitivities. Such applications include structural reliability analysis, structural optimization, structural identification, and finite element model updating. Copyright © 2006 John Wiley & Sons, Ltd.
Priority Programme 1962 A Lagrange Multiplier Method for Semilinear Elliptic State Constrained Optimal Control Problems

In this paper we apply an augmented Lagrange method to a class of semilinear elliptic optimal control problems with pointwise state constraints. We show strong convergence of subsequences of the primal variables to a local solution of the original problem as well as weak convergence of the adjoint states and weak* convergence of the multipliers associated to the state constraint. Moreover, we show existence of stationary points in arbitrary small neighborhoods of local solutions of the original problem. Additionally, various numerical results are presented.
Banking Comprehensive Risk Management System Based on Big Data Architecture of Hybrid Processing Engines and Databases

Banks are shifting from a simple credit risk management model to the comprehensive risk management model. Banking risks come from many channels and systems. Big data technology provides an innovative and effective solution for data management, and thus is suitable to be applied in the risk management scenarios that require high-quality data and complex data analysis. This paper firstly proposes big data architecture of hybrid processing engines and databases. This architecture uses Hadoop ecosystem with ETL and Spark processing engines, and using massive parallel processing databases (MPP), transactional databases, and HDFS. Then a banking comprehensive risk management system prototype based on the proposed big data architecture is implemented. Comparisons and evaluations clearly demonstrate that the proposed system has better performance.
Magnetic field dependence of the density of states in the multiband superconductor β − Bi 2 Pd

We present very low-temperature scanning tunneling microscopy (STM) experiments on single-crystalline samples of the superconductor $\ensuremath{\beta}\ensuremath{-}{\mathrm{Bi}}_{2}\mathrm{Pd}$. We find a single superconducting gap from the zero-field tunneling conductance. However, the magnetic field dependence of the intervortex tunneling conductance is higher than the one expected in a single-gap superconductor. Such an increase in the intervortex tunneling conductance has been found in superconductors with multiple superconducting gaps. We also find that the hexagonal vortex lattice is locked to the square atomic lattice as expected in crystalline superconductors with anisotropic Fermi surfaces. Moreover, we compare the upper critical field ${H}_{c2}(T)$ obtained in our sample with previous measurements and find that ${H}_{c2}(T)$ does not increase by reducing the mean free path. We fit ${H}_{c2}(T)$ and show that multiband Fermi surface is needed to explain the observed behavior. We propose that $\ensuremath{\beta}\ensuremath{-}{\mathrm{Bi}}_{2}\mathrm{Pd}$ is a single-gap multiband superconductor. We anticipate that single-gap superconductivity might often occur in compounds with anisotropic multiband Fermi surfaces.
Quality Care Nursing at Masvingo Provincial Hospital in Zimbabwe

The economic decline and political instability in Zimbabwe has negatively affected healthcare budgets which ultimatimately affect resource mobilisation and allocation in most institutions of health care including the Public Health Sector. The research conducted at Masvingo Hospital in Zimbabwe in 2015 indicated a high level of quality nursing care suggesting that most complains from the public about the poor service from nurses might be attributed to over crowdedness found at the hospital and shortage of resources. Total quality management is an organisation wide intervention which may require hospitals like Masvingo to incorporate quality initiatives into strategic plans involving nurse leaders and key personnel to identify strategies that may be put in place to enhance nursing quality care. Measuring nursing quality care through interrogating nursing behaviour may not be a conclusive approach of managing quality issues in hospitals. Future research may look at an all inclusive approach to quality nursing care. All new recruits health workers may also be inducted in quality care values.
A pragmatic and strategic approach to supporting staff in inclusive practices for online learning

Changes in legislation, an emphasis on widening participation and the increasing reliance on online techniques for learning and teaching have contributed to improved opportunities for students with disabilities to participate in Higher Education. Many accessibility advocates would argue that accessibility should be the primary consideration for the development of online resources, but in the academic setting it is usually teaching staff who are largely responsible for the production of their own electronic resources. Academics may lack the time, expertise and the motivation to undertake inclusive practices. This paper explores means of supporting academic staff in the creation of accessible and inclusive online learning materials through activities designed to create an empathy with the student experience, coupled with targeted, timely and appropriate training. We go on to outline the proposals for incorporating accessibility into an institutional strategy for e-learning and proposals for further research.
AODV based Secure Algorithm for Detection and Prevention of Sink Hole Attack in WSN

Wireless sensor network is a branch of networking that deals with sensing of information from deployed area. Sensor nodes collect the information by sensing the information and transmit using sink nodes. Sink nodes collects the information from sensor nodes and transmit this information to base station. In wireless sensor network various malicious nodes has been introduced to perform various types of attacks on the network to degrade or collect same information. The new attack that has been used for acquiring information by performing sinkhole attack. Sink hole attack is performed on sink node attacking node replaces the actual sink node by advertising its availability and resumes all the data from the sensor node. Actual data doesn’t receive at base station that loss the information of the network.
Arsenic in groundwater in the Bengal Delta Plain: slow poisoning in Bangladesh

The purpose of this paper is to provide an overview of the problems concerning the widespread occurrences of arsenic in groundwater in Bangladesh, a land with enormous resources of precipitation, surface water, and groundwater. Because of the potential risk of microbiological contamination in the surface water, groundwater was relied on as an alternate source of drinking water. Exploitation of groundwater has increased dramatically in Bangladesh since the 1960s to provide safe water for drinking and to sustain wetland agriculture. The presence of arsenic in the groundwater at elevated concentrations has raised a serious threat to public health in the region. Nearly 60-75 million people inhabiting a large geographical area are at potential risk of arsenic exposure, and several thousands have already been affected by chronic arsenicosis. The source of arsenic in groundwater is geogenic and restricted within the Holocene sedimentary aquifers. Mobilization of arsenic from the alluvial aquifers is primarily effected through a mechanism of reductive dissolution of the iron oxyhydroxides within the sediments, rather than by the oxidation of pyrite, as has been hypothesized by other workers. The problem is further accentuated by the fact that arsenic is also found at elevated concentrations in vegetables and rice grown in the areas where high-arsenic groundwater is used for irrigation. Dietary habits among the population are also an important pathway for arsenic ingestion. Studies are in progress at national as well as international levels to alleviate the arsenic crisis in Bangladesh. Besides the identification of arsenic-free tubewells in the affected areas for drinking purposes, purification of groundwater at household level by low-cost arsenic removal techniques is suggested. Rehabilitation of the patients with chronic arsenicosis and arsenic education programs for rural communities must be addressed urgently by the government of Bangladesh.
Power Quality Monitoring

Power quality is the measure, analysis, and improvement of a load bus voltage, to maintain that voltage to be a sinusoid at rated voltage and frequency. The phenomena related to power quality are generally physical stochastic events in the sense that in many cases are appearing and disappearing arbitrarily. Therefore, power quality measure is more than a simple measurement of an electrical parameter; i.e. it is necessary to record them over an enough long time interval. In order to reduce the huge amount of data by recording and analyzing several electrical parameters over a long period of time, some recording limits are set. If these limits are exceeded, the monitoring instruments evaluate the raw data and record only the essential data of the important events. There are several reasons for monitoring power quality. The most important reason is the economic damage produced by electromagnetic phenomena in critical process loads. Effects on equipment and process operations can include malfunctions, damage, process disruption, and other anomalies. It is noted that monitoring, alone, is not the solution for power quality problems. In order to solve the power quality problems, some other remedies more than the installation of power quality monitors are needed. In fact, monitoring provides the essential data which are needed for the improvement of power quality. In many projects related to finding a solution for power quality problems, monitoring plays a decisive role, and, therefore, managing monitoring properly helps to minimize the cost of solving problems. The recorded power quality data depends on the way the instruments record the disturbance levels and how the signals are interpreted. In order to have a correct interpretation of the recorded data, users need to know the specifications of the monitoring instruments such as sampling rate, accuracy, resolution, anti-aliasing filter. The misinterpretation may result in non-existent errors and recording disturbances which in turn may lead to incorrect conclusions and costly decisions. Effective monitoring programs are important for power reliability assurance for both utilities and customers. It is worth pointing out that most customer power quality problems originate within the customer facility. Monitoring power quality ensures optimal power system performance and effective energy management. Voltage sags, harmonics, interruptions, high-frequency noise, etc., are the most important power quality problems which are seen in industrial and commercial installations. Troubleshooting these problems requires measuring and analyzing power quality and that leads to the importance of monitoring instruments in order to localize the problems and find solutions. Although the
ALFALFA-MOST IMPORTANT PERENNIAL FORAGE LEGUME IN ANIMAL HUSBANDRY

Important role of alfalfa in development of animal husbandry, is based on high potential for production of biomass. Reaching of high green (over 80 t ha) and dry matter yield (approx. 20 t ha) with low investment during all period of utilization makes alfalfa production very economical. Divergent selection materials were used to create high productive domestic alfalfa cultivars with excellent field persistence, which is important factor for high and stable yield during entire exploitation period. On the other hand, alfalfa is a rich source of crude protein with excellent digestibility. Proteins from alfalfa herbage are the cheapest source of protein in animal feed. Content of crude protein strongly depend on development stage of plant material and can be 200 to 240 g kg DM, while crude protein yield can be over 3.5 t ha. Besides that, alfalfa herbage had a high content of macro and micro element, which are so important for animal health. It is usually grown in pure stand, although it’s a good component of grass-legumes mixtures. Alfalfa biomass can be used in several ways, usually as hay, but also as high quality silages, haylages, dehydrated in form of briquettes or by grazing. Symbiotic N2 fixation gives alfalfa not just economical, but very high ecological importance, too. It’s a reason why alfalfa, besides important role in conventional husbandry is getting great role in sustainable agriculture and organic production. All those characteristics confirm, that alfalfa is a really “queen” of forages.
Comparison Of Laboratory Finding In Two Splenectomy Methods And Evaluation Of Their Effects On Pancreas In Dog

The study was performed on 10 mixed breed female dogs so as to evaluate the effects of two splenectomy methods on pancreas based on laboratory post operative findings. They were divided in to equally two groups randomly. In group 1, all splenic arteries were ligated and cut nearest site to spleen, in group 2 all splenic arteries were ligated and cut at nearest site to stomach. During 30 days, Serological evaluation was done for serum levels of α-amylase and lipase concentration. 30 days after surgery, the dogs become Euthanasia. Then pancreas was evaluated by means of histopathological factors. The results of this study showed significant differences in serum Amylase and lipase concentration between 2 groups. Degenerative necrotic changes were also noted in pancreas of group 2 animals. Clinical findings and exploring laparatomy showed normally in both groups. Considering the results of this study, ligation of splenic arteries at nearest site to stomach leads to ischemic injury pancreas. Therefore, the best site of splenic arteries ligation in splenectomy is nearest site to spleen.
Study on Tough Blends of Polylactide and Acrylic Impact Modifier

Acrylic impact modifiers (ACRs) with different soft/hard monomer ratios (mass ratios) were prepared by semi-continuous seed emulsion copolymerization using the soft monomer butyl acrylate and the hard monomer methyl methacrylate, which were used to toughen polylactide (PLA). The effect of soft/hard ACR monomer ratio on the mechanical properties of PLA/ACR blends was investigated. The results showed that the impact strength and the elongation at break of PLA/ACR blends increased with increasing soft/hard ACR monomer ratio, while the tensile and flexural strengths of PLA had little change. The impact strength of PLA/ACR blends could be increased about 4 times more than that of pure PLA when the soft/hard monomer ratio of ACR was 90/10, which was the optimal ratio for good mechanical properties of PLA. Additionally, the possible mechanism of ACR toughening in PLA was discussed through impact fracture phase morphology analysis.
Secondary metabolite production by Penicillium chrysogenum

The filamentous fungus Penicillium chrysogenum is a major industrial producer of the β-lactam antibiotic penicillin. Penicillin was discovered by Alexander Fleming in 1928, and was among the first medications to be effective against bacterial infections. Penicillins are still widely used today but are now produced by high β-lactam yielding strains that emerged from extensive classical strain improvement programs lasting for several decades. In 2008, the genome of P. chrysogenum was sequenced revealing a largely unexploited reservoir of nonribosomal peptide synthetase and polyketide synthase genes that specify potential bioactive compounds. In recent years, several pathways have been resolved that are responsible for the production of a wide variety of secondary metabolites (but these are), mostly nonribosomal peptides. Therefore, a challenge lies ahead to also elucidate the function of novel polyketide synthases and their associated products
The Masking Effect of Anthropogenic Noise on Alarm Calls of the Eastern Chipmunk , Tamias striatus BIOS 35502 : Practicum in Field Biology

With the increasing threat of noise pollution due to urbanization, its effects on many organisms are now being studied. Past studies have shown that anthropogenic noised tends to increase the vigilance of an organism (i.e. Rabin et al. 2006), but few have demonstrated the specific masking capabilities of such noise. This study aimed to determine whether traffic noise had the ability to mask alarm calls of the eastern chipmunk (Tamias striatus) as reflected in vigilance behavior. Chipmunks were video taped while foraging during silence and the playing of traffic noise, alarm calls, and alarm calls with traffic noise. It was expected that the chipmunks would show a slightly increased rate of vigilance in the presence of noise, and an extremely elevated level of vigilance during alarm call playbacks. Residence time should also have increased due to the more time spent being vigilant. When the traffic noise and alarm calls were played in tandem, the noise should mask the alarm calls, and therefore the chipmunks should not show a significant increase in vigilance. The results of this study show that traffic noise does have the potential to mask alarm calls. Chipmunks showed a significantly greater rate of vigilance behavior during the alarm call playback (one-way ANOVA, F0.05,3,66=7.78, p=0.00016; Tukey’s HSD, p<0.001, p=0.015, p=0.015) than any of the other treatments, which were all statistically equivalent (p=0.95, p=.1, p=0.91). There was no significant relationship between treatment and residence time (one-way ANOVA, F0.05,2,22=2.69, p=0.09). This is the first study to demonstrate that traffic noise can mask alarm calls, and this could have serious ramifications on the ability of organisms to detect predators in noisy environments. Introduction. Urban expansion is making noise pollution an increasingly popular topic of ecological research (reviewed by Slabbekoorn and Ripmeester 2008). Anthropogenic noise has the potential to mask biological sounds used by the organism for survival and reproduction, which could ultimately affect the fitness of the organisms inhabiting the affected area. Animals living in noisy areas may have difficulty hearing mates, offspring, predators, or prey due to masking effects (Barber et al. 2010). Although conservation biologists have only recently started investigating how anthropogenic noise affects wildlife, numerous studies have already chronicled the behavioral changes that noise has caused in various organisms. In marine systems, noise pollution from boat traffic and military operations has become an especially significant concern due to its effects on mammal communication. Foote et al. (2004) found that killer whales increase the duration of their calls in the presence of boat traffic, and studies have found a similar response of
The Human Efficiency Evaluator: A tool to predict and explore monitoring behaviour

With more and more systems and machines operating autonomously, the role of the operator is changing from “being actively in control” to “monitor and intervene”. Human Machine Interfaces (HMI) therefore need to be optimized so that they can efficiently be monitored by a human. We propose the Human Efficiency Evaluator (HEE), a software tool for (1) evaluating the impact of HMI design changes on the visual monitoring behavior of the operator and (2) to explore differences in understandings between a group of collaborating HMI designers or between HMI designers and their targeted audience: the operators. We describe the tool and highlight the model exploration capabilities of the HEE by reporting about two use cases: one in the maritime domain, in which the tool supported an HMI designer to get insights into human operators’ monitoring behavior, and one in the automotive domain, in which the tool was used to reveal differences in understanding between six Human Factor Experts about the impact of three HMI design variants of an Urban ACC.
Counting Statistics of Photons Produced by Electronic Shot Noise

A theory is piesented for the photodetection Statistics of radiation pioduced by current fluctuations m a phase coherent conductor Deviations are found from the Poisson staüstics that would lesult from a classical cuirenl Foi detection in a narrow fiequency mteival δω, the photocount distnbution has the negative-binomial form of blackbody radiation if βδω is less than the mean cunent 7 in the conductor When electronic localization sets m, 7 drops below εδώ and a different type of super-Poissonian photon Statistics results