Miracle-dz/UniFAR-FTUs huggingface dataset:
Incorporating time lags and uncertainty in cost-benefit analysis of water quality improvements a case study of Limfjorden, Denmark

Cost-benefit analyses are commonly applied to assess the net welfare effects of policies to improve surface water quality. These analyses often disregard the biophysical fact that from implementation of policy measures to resulting improvements on water quality there will typically be considerable time lags, and in many cases there is a risk that the measures will not actually lead to the expected improvement. Based on a case study, we show that explicitly accounting for such time lags and outcome uncertainty in the benefit estimation can have non-negligible impacts on cost-benefit analysis findings. Our analysis indicates that reaching the EU Water Framework Directive target for our case study will lead to large and robust welfare increases. Even if the target proves more difficult or more costly to reach than expected with known policy measures, our results suggest that attempting to do so will still lead to a net welfare gain to society. Increasing time lags and uncertainty regarding water quality improvements do decrease the benefits, but the benefits still outweigh the aggregate costs of policy measures. Only in the worst case scenario, combining a long time lag and a high level of outcome uncertainty for the water quality improvement with relatively high costs of policy measures, we are close to a break-even. Hence, we do not find evidence supporting a case for disproportional cost exemption from the WFD target being relevant for the Limfjorden case.
Using Agent-Based Computational Economics to Understand the Evolution of the Electric Grid in Response to Increased Penetration of Distributed Solar Generation

: This report summarizes recent research using agent-based computational economic modeling (ACE) in the electricity industry and illustrates how ACE can be used to investigate the dynamic response of a traditional electric grid in response to increased penetration of distributed solar generation. Using a hypothetical electric grid, the ACE model describes the dynamic behavior of four different economic agents. Submodules account for the wholesale electricity market and the decision to invest in a rooftop solar system by end-use electricity customers. These submodules are coupled in that retail electricity prices determine the costs associated with forgoing an investment in distributed solar generation while the decision to invest in distributed solar generation determines the load demand in the wholesale electricity market. While the results presented in this report are illustrative and not prescriptive, they do highlight a number of interesting trends. First, increased penetration of DG will have large impacts on dispatch at traditional generating units and locational marginal prices on the grid. The 55-66 percent reduction in retail customers we observe in our simulations will likely exacerbate recent coal plant retirements. Second, decreased load demand due to adoption of DG technologies will have a large impact on high-cost generating units in the system but may have little impact on nuclear plants that generate electricity at a relatively low cost. Third, transmission line constraints matter. Transmission line constraints imply that the marginal cost of serving customers will vary across the utility’s service area. This suggests that certain generating units and demand in certain LPCs will have a disproportional influence on the impacts of DG and the utility’s ability to respond to increased penetration of PV systems.
Analýza úvěrové podpory poskytované ČEB

Podpora exportu prostřednictvim exportnich uvěrů a pojistěni je poměrně rozsiřenou praxi zemi po celem světě. Diplomova prace popisuje cinnost Ceske Exportni Banky (CEB) v systemu ceske podpory exportu a zmiňuje pravni ramec jeji působnosti v CR. Text dale obsahuje argumentaci pro i proti statni podpoře exportu. V praci je provedena analýza panelových dat ze 160 zemi za obdobi 1996 -- 2008 obsahujicich udaje o ceskem exportu, podpoře exportu, HDP, politickem riziku a dalsich proměnných. Pomoci 2 gravitacnich modelů (statický a dynamický) byl posuzovan vliv cinnosti CEB na ceský vývoz. Podpora exportu je v těchto modelech signifikantnim faktorem, který pozitivně ovlivňuje velikost ceskeho vývozu.
Classification of Ego Platform Motion for Platform Independent Plug and Play Navigation

This dissertation presents a method of using these kinematic constraints without requiring this apriori knowledge of the application platform. The method is termed “joint navigation and classification” (JNC), and involves determining the platform type online and simultaneously using the platform type information to properly apply the kinematic constraints and improve accuracy. The JNC problem is solved with a form of multiple model particle filter which treats the platform type as a mode state upon which the navigation state vector is conditioned. The particle filter is marginalized using Rao-Blackwellization to improve computational efficiency. Additionally, this dissertation presents a method within the JNC particle filter of autonomously determining whether any constraints should be applied at all. Motivating this is a study which shows that applying constraints when the IMU is of high quality can actually hurt the solution. The final JNC particle filter is robust to this phenomenon. The algorithm is validated using data collected on three different platforms (ground vehicle, pedestrian, and aircraft) and with IMUs of varying quality. It is demonstrated that the JNC particle filter can autonomously determine the correct platform type and use that knowledge to improve the navigation solution. It is further demonstrated that the JNC filter can autonomously detect situations where it is advantageous not to apply the constraints, thereby avoiding the pitfall described above. The JNC particle filter offers a best of both worlds solution which is both flexible and optimized to the platform, in addition to being robust to situations with high quality IMUs. Many navigation systems take advantage of knowledge of the host platform type, such as a ground vehicle, to apply kinematic constraints to the system to improve the navigation solution. It has been well documented that such constraints can help reduce inertial drift, whether in concert with other aiding sensors or as the only aids to an otherwise unaided inertial system. However, using these ii The views, opinions, and/or findings expressed are those of the author(s) and should not be interpreted as representing the official views or policies of the Department of Defense or the U.S. Government. constraints implies an apriori knowledge of the host platform type during the design phase. This is commonly done and is acceptable for stovepiped solutions for which flexibility is not a concern. However, this does not allow for flexibility in either the design phase or in the field. iii The views, opinions, and/or findings expressed are those of the author(s) and should not be interpreted as representing the official views or policies of the Department of Defense or the U.S. Government.
Efficient Use – An interdisciplinary framework towards the cascade use of electronics

Despite the increased awareness on sustainability, product life cycles of electronic products are getting shorter. Consumers today have a traditional linear economy attitude (make, use, dispose) which is inherently unsustainable. This leads to an enormous amount of waste electrical and electronic equipment (WEEE). Furthermore, the production of new electrical and electronic products in low-wage countries is often cheaper than repair, refurbishing, and remanufacturing processes in high-wage countries like Germany. In this paper, we present an interdisciplinary framework for industrial decision-makers with the aim to reduce WEEE by increasing the product lifetime through innovative cascade use. Therefore, sustainable business models for the circular economy will be conceptualized taking into account the retro-production and supply chain as well as the information exchange and connection between stakeholders through a digital ecosystem.
Characterization of Highly Active Keratinase Procuder Bacillus cereus KK69 for Biological Degradation of Feather Waste

A Bacillus cereus species, with highly active keratinase have been isolated from chicken feather waste. The keratinase is used to valorise feather containing approximately 90% protein, mostly keratin which is hard-to-degrade and insoluble in water. Although there are many old methods for decomposing feather such as incineration, burying, and chemically, enzymes have shown that are to be useful. This study focuses on characterizing the microorganism and its keratinase enzyme where the microorganism that produces enzyme can degrade more than 90% of the initial chicken feather in 2 days. Optimum working conditions of the enzyme is determined. Enzyme shows maximum activity at pH 9 and 50ºC. Bioinformatic analysis of Bacillus cereus KK69 genome revealed that there are many possible proteases for degradation of feather. Comparing to literature, this microorganism have displayed that produces highly active keratinase. Beside proteases, industrially important other enzymes also have been screened from annotations.
PEDESTRIAN INERTIAL NAVIGATION ALGORITHM BASED ON SCENE RECOGNITION

Abstract. As indoor location-based services become increasingly essential to people's daily life, it is necessary to build a stable and accurate indoor pedestrian positioning system. The foot-mounted inertial navigation system can provide a short-term robust solution but suffer from error accumulation over time. To alleviate this issue, this paper proposes a pedestrian inertial navigation algorithm based on scene recognition to reduce the heading drift. Based on the hypothesis that corridors in buildings are generally narrow and straight and pedestrians have a high probability to walk in straight lines in corridors, we use a scene recognition model to assist foot-mounted INS. When the scene recognition model determines that the pedestrian is walking in a corridor, a straight-line constraint will be implemented to reduce the heading drift and improve the observability of the vertical gyroscope bias. Experiments show that the algorithm can effectively improve the navigation performance and the observability of vertical gyroscope bias when the sensor biases are significant.
Evaluation of Settlement and Load Carrying Capacity of Footing with Micropiles on Sand

Micropiles are small diameter cast insitu reinforced grouted piles and it has been effectively used in many applications of ground improvement. It increases the load carrying capacity of soil and reduces the settlement. It is used in strengthening existing foundations. In this study, the effect of Micropiles on the load carrying capacity of footing resting on sand is studied. The effect of Micropiles is investigated by conducting experimental model studies. The parameters involved in this study include pile length and pile spacing. Load test was carried out on a model footing resting on sand with and without Micropiles. Load test trial is repeated for footing on micropiles with varying lengths of 10, 20 and 30 times the diameter and spacing 5, 4, 3, 2 times the diameter. The load-settlement behavior of each case is compared. Optimum length and optimum spacing for the micropiles are determined. It is observed that the effect of micropiles in the peripheral of footing resists lateral displacement of soil underneath the footing. The micropiles beyond significant depth becomes redundant.
WORKFORCE GREENING THROUGH SUPERVISORY BEHAVIOR AND EMPLOYEES’ SUSTAINABLE BEHAVIOR. THE MEDIATING ROLE OF ORGANIZATIONAL COMMITMENT

Managers’ supervisory behavior plays a crucial role in the employees’ sustainable behavior of any type of officialdoms. Affirmative sustainable behavior augments all the indicators of the performance in an organization. Therefore, this study aims to investigate the collective effect of supervisory support, trust in the supervisor, and having a commitment to the supervisor for forecasting the sustainable behavior of employees working in banking sectors in Pakistan. This study also investigated the mediating role of employees’ organizational commitment on the relationship between supervisory behaviors and employees’ sustainable behavior. The data were collected frombankers working in various commercialbanks in Pakistan through convenience sampling. A total of 387 valid questionnaires were received and analyzed through Partial Least Square Structural Equation Modelling (PLS-SEM). The findings of the study show that supervisory behavior has a significant positive impact on employee sustainable behaviors.Supervisory behavior (ESS, ISB, TS, and CS) have a significant direct effect on the employees’ organizational commitment. Further, findings also confirmed that employees' organizational behavior mediates the relationship between supervisory behavior (ESS, ISB, TS, and CS) and employees' sustainable behavior. The study enhances the existing literature and provides useful insights to supervisors working in banks, and helps to improve employees’ sustainable behavior.
Spiritual Independence of an Artist’s Personality in Postmodernity

: Using the example of Takeshi Kitano’s ﬁlm Achilles and the Tortoise, the authors attempt to identify the criteria of artistry by answering the question whether the main character of the ﬁlm is a true artist or a pathetic copyist. Carrying out a comparative analysis of Mathisu’s paintings and contemporary artworks represented by Paul Klee, Yves Klein, Pete Mondrian, and others, the authors testify both to the interpretation of the source and its reinterpretation. Such experience allows arguing that the character of the ﬁlm is a creative person who does not lose its value outside the cinema.
Potential Role of Inflammation-Promoting Biliary Microbiome in Primary Sclerosing Cholangitis and Cholangiocarcinoma

Simple Summary This is the first study to investigate both bile and stool microbiota profiles in PSC and CCA, mostly perihilar CCA. Samples with less than 2000 reads were excluded from the compositional analysis to reduce false associations. We adjusted for demographic and clinical factors influencing the biliary and stool microbiota in PSC and CCA patients. Bile and stool have different profiles of microbiota, although the bile and stool microbiome from the same subject showed more similarity than those from different subjects. Increased species richness and abundance of Fusobacteria in bile was correlated with the duration of PSC and characterized the bile of CCA patients. The unique microbial signature in the bile of patients with CCA raises the possibility of a role for microbiota-driven inflammation in the pathogenesis of perihilar CCA. Abstract Background: Primary sclerosing cholangitis (PSC) is a major risk factor for cholangiocarcinoma (CCA). We investigated biliary and fecal microbiota to determine whether specific microbes in the bile or stool are associated with PSC or CCA. Methods: Bile was obtained from 32 patients with PSC, 23 with CCA with PSC, 26 with CCA without PSC, and 17 controls. Over 90% of bile samples were from patients with perihilar CCA. Stool was obtained from 31 patients with PSC (11 were matched to bile), 16 with CCA with PSC (10 matched to bile), and 11 with CCA without PSC (6 matched to bile). Microbiota composition was assessed using 16SrRNA-marker-based sequencing and was compared between groups. Results: Bile has a unique microbiota distinguished from negative DNA controls and stool. Increased species richness and abundance of Fusobacteria correlated with duration of PSC and characterized the biliary microbiota in CCA. Stool microbiota composition showed no significant differences between groups. Conclusions: We identified a unique microbial signature in the bile of patients with increased duration of PSC or with CCA, suggesting a role for microbiota-driven inflammation in the pathogenesis and or progression to perihilar CCA. Further studies are needed to test this hypothesis.
Never Let a Good Crisis Go to Waste: Exploring the Effects of Psychological Distance of Project Failure on Learning Intention

Project failure is unfortunate but common in the construction sector. However, as the Chinese proverb says, ‘failure is the mother of success’. In other words, learning from failure can be considered an effective way to prevent the occurrence of failure in future projects. Surprisingly, the learning effect from failed projects is under-examined both theoretically and empirically in construction activity. This research aims to explore the effects of psychological distance of project failure on learning intention by deploying construal level theory (CLT). Primary data is collected by a questionnaire survey of construction practitioners and analyzed using regression analysis. It is discovered that experience of project failure does influence practitioners in their learning intention via psychological distance. That is, the psychological distance of project failure plays a mediating role in the relationship between the experience of project failure and learning intention. Employing CLT, the study contributes to the body of knowledge pertaining to the domain of learning – by revealing the impact of psychological distance of project failure. Reducing the psychological distance of project failure is recommended to promote employees’ learning intention and advance the prosperity of construction enterprises.
Quercus suber Transcriptome Analyses: Identification of Genes and SNPs Related to Cork Quality

: Cork is an ancestral natural material derived from the cork oak tree ( Quercus suber L.) with multiple industrial applications. During the recent years, this material has been the subject of several studies. The recent sequencing of the Q. suber genome opened the possibility to make new studies regarding cork quality. In this study, the transcriptomes of cork with superior and poor quality are compared to highlight new molecular pathways and identify SNPs that can be associated to cork traits, which remain one of the main concerns of the cork industry.
Glycolysis Dependency as a Hallmark of SF3B1-Mutated Cells

Simple Summary Cancer-associated SF3B1 mutations result in aberrant transcripts whose fate remains unknown. We aimed to investigate the functional consequences of these splice aberrations. Our results show that SF3B1 mutation alters the translation of transcripts encoding proteins involved in metabolism, which triggers a metabolic switch toward an increased glucose uptake. Consequently, SF3B1-mutated cells are more sensitive to glycolysis inhibition than SF3B1 wild-type cells. Abstract SF3B1 mutations are recurrent in cancer and result in aberrant splicing of a previously defined set of genes. Here, we investigated the fate of aberrant transcripts induced by mutant SF3B1 and the related functional consequences. We first demonstrate that mutant SF3B1 does not alter global nascent protein synthesis, suggesting target-dependent consequences. Polysome profiling revealed that 35% of aberrantly spliced transcripts are more translated than their corresponding canonically spliced transcripts. This mostly occurs in genes with enriched metabolic functions. Furthermore, LC-MS/MS analysis showed that mutant SF3B1 impacts the abundance of proteins involved in metabolism. Functional metabolic characterization revealed that mutant SF3B1 decreases mitochondrial respiration and promotes glycolysis to compensate for defective mitochondrial metabolism. Hence, mutant SF3B1 induces glycolysis dependency, which sensitizes cells to glycolysis inhibition. Overall, we provide evidence of the oncogenic involvement of mutant SF3B1 in uveal melanoma through a metabolic switch to glycolysis, revealing vulnerability to glycolysis inhibitors as a promising therapeutic strategy.
OPTIMIZATION OF COMPONENT DISTRIBUTION IN A PICOSATELLITE BASED ON INERTIAL CONSTRAINTS

The design, development and implementation of picosatellites, have become one practice that promotes the interaction of different areas from engineering, and begin to be important in countries that do not have an important aerospace development. This type of projects is highly restrictive to the available space and the total mass, considering that, as low cost experimental payloads, it must take just a little useful space in the commercial launchers. Therefore, the distribution of the elements within the structure of the satellite becomes critic and it is needed the control about the total mass. Additionally, with the purpose of improving the attitude behaviour control of the satellite at the space, it is required a distribution of the mass in the structure, looking for the coincidence of the centre of gravity (COG) and centre of mass (COM), as well as assuring a safe launching that it does not cause damages associated to the vibrations. The diversity of elements that compose the electronic cards, and other elements of the mission such as cameras, wheels of inertia, power systems etc, all of them made with a great variety of materials, sizes, shapes and particular locations, produces a completely heterogeneous distribution of mass. In order to control the mass distribution, with a minimum weight and static and dynamical performance above lower limits, it is needed to optimize the configuration of the satellite elements; the main goal is to establish the best location of electronic cards and additional elements in a defined and restricted space in the picosatellite structure. The task involves defining a multiobjective optimization problem of minimum mass, coincidence of centres geometric and mass and controlled static and vibrational behaviour. The technique that better comes near to the conditions of the problem, according to the previous reviews, corresponds to the evolutionary algorithms [1],[2]. The selected evolutionary algorithm was a genetic algorithm (GA) adjusted for multiobjective optimization problems, the work was based on the Genetic Algorithm Multi Evolutionary (GAME) described in [3] and [4], and adjusted for constraint
Adsorption Kinetics of Imidacloprid, Acetamiprid and Methomyl Pesticides in Aqueous Solution onto Eucalyptus Woodchip Derived Biochar

This work reports the application of a biochar (BC) derived from eucalyptus wood chips to remove pesticides (imidacloprid, acetamiprid and methomyl) from water. The pseudo-second order kinetic adsorption model is the best fit describing the adsorption of pesticides on BC. Furthermore, the Langmuir model correlated well with the adsorption isotherm data for acetamiprid and methomyl, while the Freundlich model was selected to explain the adsorption of imidacloprid on BC. The maximum adsorption capacities for methomyl, imidacloprid and acetamiprid on the BC material are 32.42, 14.75 and 4.87 mg g−1, respectively. The highest adsorption capacity of methomyl on the BC surface could be the result of multilayer adsorption suggested by the adsorption isotherm studies, with imidacloprid (or acetamiprid) monolayer being adsorbed on the BC surface. The structure, functional groups of pesticides, including their polarity, all played an important role contributing to the performance of biochar sorbent. Preferable interactions between the studied pesticides and the BC surface may include π-π interactions and hydrogen bonding. The steric aromatic entity in adsorbed imidacloprid and acetamiprid on the BC surface may hinder the possibility of other pesticide molecules approaching the available sorption sites on the surface.