Miracle-dz/UniFAR-FTUs huggingface dataset:
Title A decomposition theorem for maximum weight bipartitematchings

Let G be a bipartite graph with positive integer weights on the edges and without isolated nodes. Let n, N , and W be the node count, the largest edge weight, and the total weight of G. Let k(x, y) be log x/ log(x2/y). We present a new decomposition theorem for maximum weight bipartite matchings and use it to design an O( √ nW/k(n,W/N))-time algorithm for computing a maximum weight matching of G. This algorithm bridges a long-standing gap between the best known time complexity of computing a maximum weight matching and that of computing a maximum cardinality matching. Given G and a maximum weight matching of G, we can further compute the weight of a maximum weight matching of G− {u} for all nodes u in O(W ) time.
The intrinsic Baldwin effect in NLSy1 galaxies

The intrinsic Baldwin effect is an anti-correlation between the line equivalent width and the flux of the underlying continuum detected in a single variable active galactic nucleus (AGN). This effect, in spite of the extensive research, is still not well understood, and might give us more information about the physical properties of the line and continuum emission regions in AGNs. Here we present preliminary results of our investigation of the intrinsic Baldwin effect of the broad H$\beta$ line in several Narrow-line Seyfert 1 (NLSy 1) galaxies, for which data were taken from the long-term monitoring campaigns and from the Sloan Digital Sky Survey Reverberation Mapping project.
LOADABILITY LIMITS AND EMERGENCY COUNTERMEASURES AGAINST VOLTAGE COLLAPSE

This paper proposes a method for loadabil- ity limit computation using a uniform load increase. The normal vector to the loadability surface at this point is used to identify the region affected by the loadability. Following this a two-dimensional load space is defined on which the loadability surface is plotted. Loadability mar- gin sensitivity is used to design a load-shedding scheme to achieve a required margin. A heavily stressed snapshot of the Hellenic system is used to test the above methods.
Stated or inferred attribute non-attendance? A simulation approach

In the last few years, there has been a growing body of literature on how to detect and deal with the fact that some respondents seem to ignore one or more attributes in a discrete choice experiments. This paper aims to analyse the performance of two econometric approaches devoted to solve this problem: the stated attribute non-attendance approach and the inferred attribute non-attendance approach. These approaches are examined further by two common ways of collecting information on attribute non-attendance: serial and choice task non-attendance. The results of the simulation experiments show firstly, that choice task non-attendance of one attribute causes biases in the estimation of all other parameters; and, secondly, that only serial non-attendance can be inferred successfully. The results are policy relevant because not treating, or treating this issue incorrectly may end up in biased welfare measures.
Bacteria associated with copepods: abundance, activity and community composition

We measured abundance, activity and community composition of bacteria associated with Calanus spp. in the North Sea in late July and compared it to the free living bacteria. Both the local density and production of bacteria associated with Calanus spp. were magnitudes higher than the average in a comparable volume of water. As analyzed by denaturing gradient gel electrophore- sis (DGGE) and 16S rRNA gene sequencing, the bacterial community associated with Calanus spp. consisted of members of the Roseobacter lineage (Alphaproteobacteria), whereas the free living bac- teria were more diverse. Discovery of an identical bacterial phylotype on Calanus spp. and in the free living community at the specific depth with the highest Calanus spp. biomass suggested an active exchange of bacteria between copepods and the free living state.
Using CAMEL To Predict Management Behavior In Indonesia’s Sharia Bank

All of the sharia Bank in Indonesia should met the CAMEL criteria that have been used by Central Bank in Indonesia. CAMEL itself stands for Capital, Asset, Management, Earning and Liquidity. The purpose of this research is to see whether CAMEL able to predict management behavior in sharia bank in Indonesia. The model itself is based on Grange Causality which is introduced by Berger & DeYoung (1997) and then later used by Reddy (2011) to observe banking management behaviour in India. Based on the research, we found that sharia bank in Indonesia experienced a bad management hypothesis.
Does Design Thinking Mediate Critical Innovation Skills? An Interview Approach to Synthesize Five Competencies Taught at the D.School

Through interviews with seventeen teachers of the schools of design thinking (d.schools) in Potsdam and Stanford about their curriculum, we were able to propose five basic skills that are helpful in forming an innovative person. These skills are based on the reoccurring statements of d.school teachers. We are convinced that they are essential for problem solving and for the development of innovations. These skills are open mindedness, empathy, T-shaping, dealing with ambiguity, and creative confidence. The process is driven through in-group cohesion and moderated through betweengroup competitions. The findings are summarised in a model.
Augmenting and reasoning in semantically enriched maps using open data

—Complex robotic tasks require the use of knowledge that cannot be aquired with the sensor repertoire of a mobile, autonomous robot alone. For robots navigating in urban environments, geospatial open data repositories such as OpenStreetMap provide a source for auch knowledge. We propose the integration of a 3D metric environment representation with the semantic knowledge from such a data base, and describe an application where road network information fromOpenStreetMapisusedtoimproveroadgeometry informationdeterminedfromlaserdata.Thisapproach is evaluated on a challenging data set of the Munich inner city.
Issues in the Evaluation of Social Programs

Efforts in the past decade to reduce the incidence of major social problems have stimulated a new interest in program evaluation. Numerous writings have appeared on the use of the concepts and methods of behavioral research in evaluating these interventions. This paper is a review of that literature. It surveys evaluation programs designed to produce some identifiable change in individual or social groups. The first part of the paper is concerned with basic issues which include definitions, approaches to evaluation methodology, roles of evaluation in program development, and distinctions among various forms of research. The second section deals with organizational matters such as the establishment of the evaluative research role, administration of evaluative research, utilization of the results of evaluation, and implications of client activism for evaluation. The third portion reviews methodological issues in measurement and design of evaluation studies.
Running Head: EFFECT OF SELF-RECORD:NG

This study compared self-recording and self-recording plus self-reinforcmeent treatments with no self-recording treatment on the spelling achievement and on-task behavior of 38 children (ages 10 to 13) with severe emotional and behavioral disorders. In the self-recording groups, subjects corrected, recorded, and graphed their daily spelling tests. The self-recording plus self-reinforcement group also set a goal and selected a reinforcer for meeting their goal each week. Weekly self-efficacy ratings and attributions for success and failure were also examined. Followup data were collected to determine the durability of spelling achievement over time. The results indicated the groups did not differ in spelling achievement. The self-recording only group had a significantly higher rate of on-task behavior when compared to the control group with no self-recording and the group with self-recording plus self-reinforcement. There were also no significant differences among groups in measures of self-efficacy or attributions for success and failure. (Contains 21 references.) (DB)
Analyzing Emotion on Twitter for User Modeling

With the development of networks, social platforms play an indispensable role in people’s daily lives. As the most popular microblogging platform, Twitter has a vast amount of information available in the form of tweets shared by millions of users. Since this data stream is constantly growing, it is difficult to extract relevant information for users. More and more people want to benefit from these data and get a personalized service from Twitter. Extracting the semantic meaning of Twitter and modeling the interests of users allows people to enjoy a personalized service on Twitter. Meanwhile, research shows that people tend to express their emotions on Twitter. These emotional tweets usually clearly express the users’ preferences compared with other normal tweets. Therefore, our goal is to design some emotion-based user modeling strategies which exploit these emotional data. In this thesis, we introduce and analyze the approaches for detecting emotion on Twitter. First we evaluate and compare the performance of our approaches of emotion detection. Then we use these approaches of emotion detection to analyze our Twitter sample dataset for the purpose of user modeling. We also propose a set of emotion-based user modeling strategies on the Twitter platform based on these detected emotional data. Furthermore, we evaluate our emotion-based user modeling strategies and investigate their impacts on normal user profiles in the context of recommendation systems. Our results show that our emotion-based user profiles enhance the quality of user profiles and have a better performance in terms of recommendation accuracy.
Integrated Finite Element Analysis (FEA) in Three-Dimensional Computer Aided Design Programs (Cad) - Overview and Comparison

Nowadays faster product development is expected by customers but at the same time the costs of production and development have to be minimized. To meet these requirements more and more computer-assisted simulations are being used. This applies to many production procedures and a new standard of engineering by intelligent cross-linked simulations (ICROS) has been defined for these. The ICROS method describes the whole proceeding of development and production of a new product, including the material selection (material parameters), the design of the construction unit, the finite element analysis (FEA), the production simulation and the manufacturing of the prototypes. The constantly growing impact of such simulation programs led to the integration of tools covering the functions of the finite element analysis into all larger three-dimensional computer aided design programs. This study shows the general differences between the FEA application tools, which are implemented in the CAD systems Pro/ENGINEER Wildfire, CatiaV5 and NX4, and investigates if these tools are generally suitable for the ICROS method. These tools consist of the import interface of geometry units, the pre-processor for the independent generation of a finite element mesh and the actual solver. The comparison is based on linear static analyses of individual engineering units. Three other standalone finite element programs were added to complete the comparison. These programs are Patran as pre-processor combined with Marc as solver, ABAQUS 6.6-1 and Z88 Version 12.0. The comparison is realised on the basis of several examples.
An Empirical Study of Pakistan's Economic Growth under Inflation

The purpose of this paper is to find out the inflationary impact on the growth of Pakistan’s economy. There are two main objectives, firstly whether the inflation has positive or negative impact on the GDP growth and secondly, at which threshold level of inflation the growth of economy of Pakistan will be positively or negatively affected. Keywords: Growth; Inflation; GDP
The Existence of Alternative Framework in Students’ Scientific Imagination on the Concept of Matter at Submicroscopic Level: Macro Imagination

This study is conducted with the purpose of identifying the alternative framework contained in students’ imagination on the concept of matter at submicroscopic level. Through the design of purposive sampling techniques, a total of 15 students are interviewed to obtain the data. Data from analysis document is utilized to strengthen the interview. The qualitative data is analyzed using the grounded theory analysis strategy. The finding shows there is an existence of alternative framework in the students’ scientific imagination: macro imagination. The image of hydrogen gas is the highest macro alternative framework imagination generated by the students while the second is the water molecules formation and followed by hydrogen molecules collision. On the other hand, no imagination is produced on the hydrogen electron. Hence, the emphasis on scientific concept upon imagination must be enhanced so that they are able to master the chemistry concepts at submicroscopic level. The summary of the implications of the study suggests that the teachers need to associate the students’ imagination with the related science concepts so that even they are imagining according to their own capabilities and interest propensity, they are still maintaining the scientific perspective in the course of their imagination.
12. From the eastern lowlands to the western mountains: first records of the chytrid fungus Batrachochytrium dendrobatidis in wild amphibian populations from Austria

Chytridiomycosis is a fungal disease that has been made responsible for amphibian declines around the globe. We found the causative agent of the disease, Batrachochytrium dendrobatidis, at six amphibian breeding sites in the eastern lowlands of Austria and four in the western parts of the country (30% of all sampled sites), including the highest record for the European Alps to date at 1630 m a.s. l. Nine amphibian species were infected, and metamorphosing Bombina bombina had the highest prevalence (40%). No individual showed obvious signs of disease, but our data are insufficient to draw any conclusions on disease-associated effects.
Bottom-up synthesis of indium(0) nanoparticles and its application for the allylation of benzaldehyde. An experimental and theoretical study.

In recent years, the synthesis of metal nanoparticles has attracted significant attention because of their unique properties. Although many strategies for the preparation of noble- and transition-metal nanoparticles have been published, the synthesis of indium nanoparticles (InNPs) has been scarcely reported. Most of the bottom-up methods require the use of indium salts and strong reducing agents such as sodium metal, zinc power, alkalides/electrides, or decomposition of organometallic complexes. Regrettably, some of them provide little control over particle size and size distribution of the InNPs, and the presence of stabilizing agents is generally mandatory. Recently we have been working on the simple, mild, and efficient synthesis of very reactive, monodisperse (4.0 ± 1.5 nm) spherical InNPs by fast reduction of indium(III) chloride with lithium powder and a catalytic amount of 4,4´-di-tert-butylbiphenyl (DTBB) in THF at room temperature, and in the absence of any anti-agglomeration additive or ligand. We explored the above mentioned InNPs-based reactive system for the allylation of a variety of aldehydes and ketones in a one-pot procedure, by adding allyl bromide over a suspension of InNPs followed by the addition of the corresponding carbonyl compound. For most of the compounds tested, the homoallylic alcohol product was obtained in good yields. In order to extend the scope of this indium-mediated protocol, herein, we report a comparative study on the allylation of benzaldehyde with a series of substituted allyl bromides promoted by both InNPs and In powder, in THF at room temperature. As expected, indium nanoparticles demonstrated to be much more efficient than granular indium yielding the corresponding allylic alcohols almost quantitatively. Additionally, computational studies have been applied in order to explain the differences in reactivity observed. Based on the experimental data and the DFT studies, we have proposed a possible reaction mechanism that implies the formation of a cyclic six-membered Zimmermann-Traxler-type transition state and the participation of allylindiums sesquihalides as intermediates in the indium-mediated allylation.
Comparing the Applicability of Commonly Used Hydrological Ecosystem Services Models for Integrated Decision-Support

Different simulation models are used in science and practice in order to incorporate hydrological ecosystem services in decision-making processes. This contribution compares three simulation models, the Soil and Water Assessment Tool, a traditional hydrological model and two ecosystem services models, the Integrated Valuation of Ecosystem Services and Trade-offs model and the Resource Investment Optimization System model. The three models are compared on a theoretical and conceptual basis as well in a comparative case study application. The application of the models to a study area in Nicaragua reveals that a practical benefit to apply these models for different questions in decision-making generally exists. However, modelling of hydrological ecosystem services is associated with a high application effort and requires input data that may not always be available. The degree of detail in temporal and spatial variability in ecosystem service provision is higher when using the Soil and Water Assessment Tool compared to the two ecosystem service models. In contrast, the ecosystem service models have lower requirements on input data and process knowledge. A relationship between service provision and beneficiaries is readily produced and can be visualized as a model output. The visualization is especially useful for a practical decision-making context.
Developing a Chemical Reconnaissance Behavior for Unmanned Ground Vehicles Using the OneSAF Battlefield Simulation Tool

Abstract : One of the goals of the U.S. Army Ground Robotics Research Program is to develop individual and group behaviors that allow the robots to contribute to battlefield missions such as reconnaissance. By using simulation tools, we are able to develop, debug and test behaviors before porting them to actual robotic platforms. This affords the researchers the opportunity to expeditiously evaluate the behaviors in a diverse set of environments and to explore variations in behavior algorithms without tying up limited robotic resources or putting these robotic vehicles at risk. This report describes our efforts to develop a proof-of-principal behavior initiated in simulation then ported to a team of surrogate robotic platforms. The issues discovered in porting the algorithm from simulation to the robotic platform are discussed. The report concludes with a discussion of possible extensions to the basic tool.
Cash Flow Sensitivities and Bank-Finance Shocks in Nonlisted Firms

We study how nonlisted firms trade off financial, real, and distributive uses of cash. We show that firms' marginal value of cash (MVC) affects the mix of external and internal finance used to absorb fluctuations in cash flows; in particular, high-MVC firms employ substantially more external finance on the margin. Linking firms to their main bank, we find that shocks to bank finance affect firms' trade-offs and have real effects in high-MVC firms, making investment more sensitive to firm cash flow. Our analysis suggests that shocks to external financing costs are transmitted to the real economy via firms' marginal value of cash.
Efficient and Scalable Stream Processing

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Religious differences in child vaccination rates in urban Africa: Comparison of population surveillance data from Ouagadougou, Burkina Faso

Many studies have shown a significant relationship between religion and health in Western countries. In developing countries, however, there is a dearth of scientific studies on the matter. Using data from the Ouagadougou Health and Demographic Surveillance System, this paper examines religious differences in child vaccination rates in five districts of Ouagadougou, Burkina Faso. It tests the applicability of the selectivity hypothesis, which holds that religious differences in health come from underlying differences in the socioeconomic and demographic composition of religious communities. In our study population, even when socioeconomic and demographic characteristics are taken into account, an effect of religion on child vaccination rates was observed. This suggests that religious disparities in child vaccination rates are not solely due to the makeup of different religious communities, but also to ideological differences and/or to diffusion effects from interactions within religious groups. The religious differences demonstrated here suggest that a greater emphasis should be put on community-based approaches involving religious leaders when addressing health disparities.
A Comparison between Symmetry of Abdominal Muscle Size in Healthy Adolescents and Adolescents with Low Back Pain

BACKGROUND AND OBJECTIVE: Low back pain (LBP) is a musculoskeletal disorder and a relatively common complaint. Muscles, as the most important stabilizers of the spine, are impaired in patients with LBP. The aim of this study is to compare the symmetry of abdominal muscle size in the dominant and non-dominant sides as well as the painful and painless sides between healthy adolescents and adolescents with LBP. METHODS: This case-control study was conducted on 80 healthy adolescents and 80 adolescents with chronic nonspecific LBP, aged 15 to 18 years. Samples were chosen using convenience sampling method while being matched in terms of height, weight and body mass index. First, the demographic data were collected; then, their abdominal muscle size (transverse abdominus, internal oblique and external oblique) and intra-abdominal fat were measured by sonography. FINDINGS: The difference in mean value and possibility value for transverse abdominus (p=0.024 and 0.189), internal oblique (p=0.000 and 0.861), external oblique (p=0.031 and 0.287) and intra-abdominal fat (p=0.762 and 0.081) was significant between the two groups in term of abdominal muscle size while the difference in intraabdominal fat size was not statistically significant. Results also revealed a statistically significant difference in abdominal muscle size (except for external oblique and intra-abdominal fat) between the dominant and non-dominant sides (p<0.05) and between the painful and painless sides in adolescents with LBP (p<0.05). CONCLUSION: The results of the present study demonstrated that abdominal muscle size in dominant and painful side is smaller than non-dominant and painless side.