Miracle-dz/UniFAR-FTUs huggingface dataset:
Mitigation of Wind Induced Vibration in Substation Structures: A Fluid Structure Interaction Study on Curved Spoilers

As modern utility structures move toward taller and more flexible designs, the problems of wind effects on these structures have become increasingly apparent. While wind induced vibration is a common phenomenon that can lead to structural failure, it is one that is often overlooked because of the complexity of modeling the situation correctly. Vortex-induced vibration (VIV) is more complex than a mere resonant forcing problem. The complexity and uncertainty of the wind field and its interaction with structures that necessitate such an interdisciplinary approach, involving scientific fields such as meteorology, fluid dynamics, statistical theory of turbulence, structural dynamics, and probabilistic methods. Many structures used in substations (e.g. A-frames and static masts) can be prone to this problem. Based on some field reports of structural vibration, a study is performed to better understand the VIV phenomenon and find ways for prediction and mitigation. This paper presents a numerical analysis to predict and mitigate the VIV effects using ANSYS Workbench two-way 3D Fluid Structure Interaction (FSI). FSI is a coupling process between Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA). This paper concludes with some recommendations on how to mitigate VIV in substation structures using curved spoilers, in addition to some considerations that need to be taken into account during the design of these new structures and a retrofit plan for in-service structures as well.
Linear geometric algebra rotor estimator for efficient mesh deformation

The authors solve the problem of estimating the best rotation aligning two sets of corresponding vectors (also known as Wahba's problem or point cloud registration). The proposed method is among the fastest methods reported in recent literatures, moreover it is robust to noise, accurate and simpler than most other methods. It is based on solving the linear equations derived from the formulation of the problem in Euclidean Geometric Algebra. The authors show its efficiency in two applications: the as-rigid-as-possible (ARAP) surface modelling and the more smooth rotation enhanced ARAP mesh animation which is the only method capable of deforming surface modes with quality of tetrahedral models. Mesh deformation is a key technique in games, automated construction and robotics. The ARAP technique along with its improved variants, although have been extensively studied, can still not be achieved efficiently. Linear geometric algebra based rotor solution proposed in this study gives another perspective of the kernel problem. This, however, not only improves the real performance of the three-dimensional mesh deformation, but also provides a brand new computationally efficient solution to the Wahba's problem and point cloud registration, which has been closely related to the automation science and engineering.
Ecology of marine parasites : an introduction to marine parasitology

The nature of parasitism the types of marine parasites the variety of hosts of marine parasites parasites of parasites general adaptations of parasitic animals host-parasite interactions the ecological niches of parasites the structure of parasite communities characteristics of parasite faunas of different seas economic and hygienic importance of marine parasites future research.
The Use of Gas Chromatography to Measure Carbon Dioxide Production by Dairy Starter Cultures

Abstract A gas chromatographic method was developed to quantify CO 2 produced by dairy starter cultures. The procedure was used to measure CO 2 production by Lactococcus lactis ssp. lactis KB, a lactic dehydrogenase-deficient mutant of L. lactis ssp. lactis C2. Lactococcus lactis ssp. lactis KB produces CO 2 , diacetyl, and acetoin from lactose in milk. Lactococcus lactis ssp. lactis biovar. diacetylactis 18-16, which converts citrate to CO 2 , diacetyl, and acetoin, and L. lactis ssp. lactis C2, which does not produce CO 2 , were also used. Samples were introduced to the column through an injection loop. Thermal conductivity was used for CO 2 detection. This method was relatively simple, results were reproducible, and CO 2 production by other fermentative bacteria could be measured.
Research on Tacit Knowledge sharing in an insurance company

how to encourage knowledge transfer and sharing within an organization, especially between headquarter and branches is more and more important because knowledge capital can help to gain competitive business advantages. As the meanwhile, Headquarter-branches as a special inter-organizations relationships type has the special characters on the transfer and sharing of tacit knowledge. In this paper the influence factors to tacit knowledge transfer and sharing were analyzed based on multi-relationships, which in an internal perspective based on principle-agent relationship, and in an external perspective based on inter-enterprises relationship, in dyadic level between Headquarter-branches. The insurance company with a typical Headquarter-branches system can be used to analyze the process of tacit knowledge transfer and sharing.
Leaf Choice by Salmonfly Nymphs (Pteronarcys californica) in Western Montana

The giant salmonfly (Pteronarcys californica), the largest species of stonefly in the world, is vital to streams in western North America. Understanding their diet may shed light on interactions between invertebrates and common riparian trees such as alder (Alnus spp.), cottonwood (Populus spp.), chokecherry (Prunus virginiana), dogwood (Cornus sericea), and willow (Salix spp.). P. californica consume primarily fungal and microbial colonies on decomposing ‘conditioned’ leaves in streams. The rate and timing of leaf decomposition varies due to the toughness and chemistry of the leaves and the communities of microbes that colonize them. There are multiple species of leaves in the stream at any time, but they decompose with different dynamics. Leaves that decompose quickly disappear from the streams, leaving only tougher leaves during winter and the following spring and summer seasons. Because of this variability, P. californica may prefer leaves that decompose faster, such as chokecherry and alder, under short conditioning periods, but may prefer tough leaves, such as cottonwoods, under longer conditioning periods. We first asked whether stoneflies choose strongly among leaf type (based on either leaf species or conditioning time). We then assessed the consequences of those choices by measuring stonefly growth in no-choice assays (individuals given single leaf types). We also quantified leaf mass area for each leaf species as a proxy for toughness. This study showcases the complex interactions between riparian species and invertebrate growth. With the results of this study, restoration efforts on western streams may include planting a variety of riparian tree species to improve growth and winter survival of P. californica, and thus improve fisheries of western streams.
Corruption in Nigeria: An Impediment to National Development in the Fourth Republic

Corruption has become a pervasive social phenomenon in Nigeria. It has become institutionalized in the country’s political life. Previous civilian administration of Alhaji Shehu Shagari and the military regimes of General Ibrahim Babangida and General Sanni Abacha were beset with unprecedented corrupt practices. With the return of democratic rule in May 1999, there were high expectations that the new democratic dispensation would address the menace of corruption that bedeviles the polity. It is very unfortunate that since the return of civil rule, the incidence of corruption has reached dangerous proportion. This study therefore aims at x-raying these corrupt practices that infest the country and determines its impact on national development. The study is based on content analysis that relies on the use of secondary data as its source of information. The findings reveal that infrastructural decay, poverty and poor management of public enterprises, human capital flight among others are the impact of corruption on the present democratic dispensation. It therefore, recommends among others that civil society organizations should organize workshops for Nigeria’s political leaders to facilitate complete change of attitude towards corruption. The culture of credible and accountable governance must be instilled in the olitical leaders at all levels.
SCIENCE PROCESS SKILLS IN PRE-SCHOOLERS THROUGH PROJECT APPROACH

The purpose of this research was to discover science process skills through project approach in pre-schoolers. The research was constructed holistically in a kindergarten in Perak through a qualitative case study methodology in multiple cases that involved Organic Fertilizer Case and Chocolate Gallery Case. Participants of the study involved two focus groups, including twenty children and two instructors. The involvement of participants was based on a framework called Responsive Participatory Framework. Research data were obtained through three methods, including unstructured interview, observation, and documentation. The overall data research showed that the science process skills in children were dominated by observation skills using senses, followed by classifying, inferences and measuring. Hence, exposing science process skills from early childhood can help children in mastering a science concept. Therefore, project approach activity was an approach for child brain development towards scientific thinking by the year 2050.
UFRRJ INSTITUTO DE TECNOLOGIA PROGRAMA DE PÓS-GRADUAÇÃO EM CIÊNCIA E TECNOLOGIA DE ALIMENTOS TESE

AMARAL, Gabriela Vieira do. Whey-grape drink processed by supercritical carbon dioxide: quality and sensory parameters. 2017. 65p. Thesis (Doctor Science in Food Science and Technology). Institute of Technology, Federal Rural University of Rio de Janeiro, Seropédica, RJ. 2017. Emerging supercritical carbon dioxide (SCCD) technology has been studied as a cold pasteurizing agent, however, few studies are available on its efficiency in dairy products. In this study, the effects of SCCD processing by different pressures 14, 16 and 18 MPa (35 ± 2 °C / 10 min) on whey drink, whey drink and grape juice were investigated in comparison To conventional pasteurization (heat treatment at 72 °C / 15 s). Physicochemical analyzes of pH, titratable acidity, total soluble solids, phenolic compounds, anthocyanins, antioxidant activity, angiotensin converting enzyme (ACE) inhibitory activity and volatile compounds were performed. The color, particle size, rheology, physical stability, as well as microbiological quality and sensory analysis of beverages were also smoothed. The results of this study evidenced the absence of differences between treatments in pH, titratable acidity, soluble solids, total anthocyanins and DPPH activity (p> 0.05). A direct relationship between SCCD pressure and ACE inhibitory activity was observed, with 34.63, 38.75 and 44.31% (14, 16 and 18 MPa, respectively). Few differences were found in the volatile compounds profile. The beverage processing by SCCD resulted in a product with lower particle diameter, lower consistency index and a reduction in pseudoplastic character compared to the beverage treated by the conventional process. No effect of high pressure CO2 on the sensorial attributes of the drink was observed for the studied levels. Consumers found no difference between CO2 treated beverages and heat-treated beverages. The results confirm the processing of SCCD as a promising technology for the non-thermal treatment of grape whey drink made available a health and wellness promoter beverage. Key Word: Emerging technology, whey, grape juice.
The Effect of Theory of Mind in Detecting Deception

Social simulation is a research area that has been gradually increasing, and systems that can simulate human behaviour are more and more necessary. One of the main capacities for social behaviour is Theory of Mind, the ability to represent not only ours, but others’ internal knowledge, such as their beliefs. Theory of Mind influences aspects like deception and its detection. Therefore, this thesis proposes an agent capable of detecting deception through the use of Theory of Mind. The architecture was based on a research on the state of the art, together with some preliminary tests, with humans playing the game. The agent was implemented as a robot, and used to play a deception game called Coup with humans. Finally, this thesis presents user studies with two conditions, one agent with Theory of Mind and one without it. The results revealed our Theory of Mind agent is capable of detecting more lies from human players than the one without Theory of Mind.
Getting Off Benefits or Escaping Poverty? Using corpora to investigate how the press represented poverty during the 2015 UK general election campaign

This paper investigates the representation of poverty in nine national British newspapers during the 2015 UK general election campaign. A framework combining the qualitative approach of Critical Discourse Analysis with corpus-based techniques is used to address the following questions: which themes did the press foreground and background a) when poverty was mentioned explicitly, b) when it was referred to in terms of benefit claiming and c) when the two were mentioned together in the same article? The main claim of this study is that explicit discussion of poverty in the press was less frequent than the discussion of benefit claiming, and appeared to be mostly detached from the immediate context of the general election. This seemed to reflect a lack of attention paid to poverty in political discourse. Poverty was presented both as a reality without tangible causes and a common enemy that must be fought by an undefined entity. On the other hand, the welfare state (particularly benefit claiming) was presented as a burden that creates dependency; therefore, welfare reform and the reduction of expenditure on benefits — central to the general election campaign — were posed as a necessity for the reduction of debt. It is argued the separation of poverty and benefit claiming into two parallel debates, with only a small minority of articles discussing them in conjunction, allowed the press to sustain two incongruous messages at the same time: the need to both cut benefits and end poverty. It was only in the minority of articles that discussed poverty together with benefit claiming that a more visible counter-discourse surfaced, with more emphasis on the structural causes of poverty, the inadequateness of the benefit system and the positives of supporting people through the welfare state.
Computer Usage Purpose and Awareness of Rural Household in Cattle Husbandry

– The aim of this study was to determine impact of technology (computer and internet) usage on rural household of livestock husbandry. A survey was carried out with cattle farmers by using face-to-face interviewing method. New technology and scientific discoveries regarding cattle farming provide the basis for accelerated progress in performances for farmers which adopt these technologies in practice. The use of computers for farm management in dairy sector has started in as early in 1990’s in Turkey. Hence, personnel computer was developed and the price have dramatically declined, more and more farmers began to use computers by themselves. Usually the use of technology is generally preferred, as it facilitates operational preference in large scale farms. Small scale farmers bypassed the technology because of cost and lack of knowledge about computer use in farming. This study results showed that the computer usage is common for younger, educated and male family member of small scale cattle farmers in rural area. But computer usage purpose is not mainly focused to animal husbandry. Also women carry a large portion of their workload of animal care taken. The issue of women's awareness in small-scale animal husbandry enterprises should also be emphasized. If they aware of information gathering from internet for this purpose is very strong effect on their profitability.
Effects of fosinopril and pravastatin on cardiovascular events in microalbuminuric subjects. Results of PREVEND IT

Background Microalbuminuria is associated with an increased cardiovascular risk. We assessed whether therapeutic intervention aimed at lowering urinary albumin excretion will reduce cardiovascular events in microalbuminuric subjects (15-300mg/24h). Methods and Results From the PREVEND cohort (n=8,592), 1439 subjects fulfilled the inclusion criteria of PREVEND IT. From these subjects, 864 subjects were randomized to fosinopril 20 mg or matching placebo and to pravastatin 40 mg or matching placebo. The mean follow-up was 46 months and the primary endpoint was cardiovascular mortality and hospitalization for cardiovascular morbidity. Mean age was 51 ± 12 years, 65% were male, 3.4% had a previous cardiovascular event, mean cholesterol was 5.8 ± 1.0 mmol/l, mean systolic/diastolic blood pressure was 130±18/76±10 mmHg, and the median urinary albumin excretion was 22.8 (15.8 to 41.3) mg/24h. The primary endpoint occurred in 45 (5.2%) subjects. Fosinopril reduced urinary albumin excretion by 26% (p<0.001). Subjects treated with fosinopril showed a 40% lower incidence of the primary endpoint (hazard ratio 0.60 [95% CI 0.33-1.10], p=0.098 (log-rank)). Pravastatin did not reduce urinary albumin excretion and subjects treated with pravastatin showed a 13% lower incidence of the primary endpoint than subjects in the placebo group (0.87 [0.49-1.57], p=0.649 (log-rank)). Conclusions In microalbuminuric subjects, treatment with fosinopril had a significant effect on urinary albumin excretion. In addition, fosinopril treatment was associated with a trend in reducing cardiovascular events. Treatment with pravastatin did not result in a significant reduction in urinary albumin excretion or cardiovascular events. CHAPTER FOUR 70 ProefschriftFolkert25-11-04.qxd 25-11-2004 12:41 Pagina 70
Formation of One-Dimensional Electronic States along the Step Edges of CeO<sub>2</sub>(111)

C 2011 American Chemical Society Formation of One-Dimensional Electronic States along the Step Edges of CeO2(111) Niklas Nilius,* Sergey M. Kozlov, Jan-Frederick Jerratsch, Martin Baron, Xiang Shao, Francesc Vi~ nes, Shamil Shaikhutdinov,* Konstantin M. Neyman,* and Hans-Joachim Freund Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, 14195 Berlin, Germany, Departament de Química Física, Universitat de Barcelona, C/Martí i Franquès 1, 08028 Barcelona, Spain, and Instituci o Catalana de Recerca i Estudis Avanc -ats (ICREA), 08010 Barcelona, Spain
REFLECTING THE MARKET NEEDS WITH REGARD TO GASTRONOMICAL SERVICES USING THE QFD METHOD ODZWIERCIEDLENIE POTRZEB RYNKU W ODNIESIENIU DO USŁUGI GASTRONOMICZNEJ

The gastronomic industry enjoys growing popularity. The number of small gastronomy establishments and large hotel chains is growing, with extensive catering facilities. The struggle for the client has many dimensions, it also takes place within his sensations and feelings. Eating out is much more than cooking and eating at home. It brings people together and people can share something common when eating outside. By perceiving the gastronomic service in this way, we notice the importance of the environment and the people who provide it to us. The aim of the article is to present the possibilities of using the Quality Function Deployment (QFD) method in the design of catering services – to translate market requirements into the conditions that a gastronomic service has to meet, wanting to enjoy the interest. The aim of the research is to identify the client’s needs and requirements and identifying the positive features of the service and finding methods to achieve them so as to be able to improve the gastronomic service on their basis.
1403 Anjum title page

We adopt a new representation of the relationship between emissions and income using long-run growth rates. Our approach allows us to test multiple hypotheses about the drivers of per capita emissions in a single framework and avoid several of the econometric issues that have plagued previous studies. We find that for carbon dioxide emissions, scale, convergence, and resource endowment effects are statistically significant. For sulfur emissions, the scale and convergence effects are significant, there is a strong negative time effect, and non-English legal origin and higher population density are associated with more rapidly declining emissions. The environmental Kuznets effect is not statistically significant in our full sample for either carbon or sulfur.
Preference-Based Bayesian Optimization in High Dimensions with Human Feedback

Existing preference-based learning methods are restricted to low-dimensional spaces due to computational limitations. However, many applications of preference-based learning, such as optimizing parameters of robotic systems, are high-dimensional problems. To address this issue, we present LineCoSpar, a human-in-the-loop framework that enables preference-based optimization in high dimensions by iteratively exploring one-dimensional subspaces. After verifying its performance and sample-efficiency in simulation, we apply the algorithm to two studies with real human feedback. We use LineCoSpar to learn a stable controller for the cartpole problem and optimize walking gaits in real-world exoskeleton experiments.
A Model and Complexity Analysis of the Relationship Based on Organizational Justice and Embeddedness Theories

In capable person governing agricultural cooperatives, the internal governance is essential for cooperatives to achieve sustainable development. As an important mechanism of cooperative internal governance, relational governance is the focus of the current research in the field of cooperative internal governance. Based on the theory of organizational justice, relational embeddedness theory, and relational governance theory, this paper constructs the relationship between interactive justice, relational embeddedness, and governance performance based on fuzzy cognitive map and discusses the influence mechanism of interactive justice on relational governance performance. Taking 245 members of 18 agricultural cooperatives as samples, this paper makes an empirical test by using the machine learning method. Through the analysis of the data, we find that interactive justice has a significant positive impact on the governance performance. Relational embeddedness also has a significant positive impact on the governance performance. And relational embeddedness plays an intermediary role in the positive impact of interactive justice on governance performance. To some extent, the research results broaden the relationship between interactive justice and relational governance performance and provide useful reference for cooperatives to strengthen internal governance and achieve sustainable growth.