Miracle-dz/UniFAR-FTUs huggingface dataset:
Industrial Safety and Utopia: Insights from the Fukushima Daiichi Accident

Feedback from industrial accidents is provided by various state or even international, institutions, and lessons learned can be controversial. However, there has been little research into organizational learning at the international level. This article helps to fill the gap through an in‐depth review of official reports of the Fukushima Daiichi accident published shortly after the event. We present a new method to analyze the arguments contained in these voluminous documents. Taking an intertextual perspective, the method focuses on the accident narratives, their rationale, and links between “facts,” “causes,” and “recommendations. ” The aim is to evaluate how the findings of the various reports are consistent with (or contradict) “institutionalized knowledge,” and identify the social representations that underpin them. We find that although the scientific controversy surrounding the results of the various inquiries reflects different ethical perspectives, they are integrated into the same utopian ideal. The involvement of multiple actors in this controversy raises questions about the public construction of epistemic authority, and we highlight the special status given to the International Atomic Energy Agency in this regard.
Cross-National Replication of the Gender Identity Interview for Children

We administered the Gender Identity Interview for Children, a 12-item child-informant measure, to children referred clinically for gender identity problems in Toronto, Ontario, Canada (N = 329) and Amsterdam, The Netherlands (N = 228) and 173 control children. Confirmatory factor analysis identified a Cognitive Gender Confusion factor (4 items) and an Affective Gender Confusion factor (8 items). Patients from both clinics had a significantly higher deviant total score than the controls, and the Dutch patients had a significantly higher deviant score than the Toronto patients. In this cross-national study, we are the first to report on the validity of this measure to discriminate children with gender identity disorder from controls outside of North America.
A Lunar Terrain Reconstruction Method Using Long Base-line Stereo Vision

In order to make lunar lander land on the surface of moon autonomously and safely, the terrain of landing region should be rebuilt, and the description of landing site terrain should be generated. A long base-line stereo vision 3D reconstruction method through motion is proposed. Aimed at the problems of long base-line stereo vision, a series of algorithms are designed to select and match feature points, to estimate the relative rotation and translation between different positions, to rectify stereo image pair, to get the dense disparity image, to perform 3D reconstruction methods through disparity images, and to generate the DEM (digital elevation map) of the landing region. According to the characteristic of lunar terrain, a software simulation test-bed is built, on which the algorithms are tested. The simulations show that this method can be effectively used in 3D reconstruction of lunar terrain.
Feeding partial power into line capacitors for low cost and efficient MPPT of photovoltaic strings

In PV strings, a number of PV modules are connected in series where the same current passes over all of them. To allow the maximum power points of the PV modules to be tracked individually, DC/DC converter known as optimizers could be used to interface each PV module with string. Processing the entire PV power by the optimizers increases the cost and degrades the system efficiency. In this paper, a method is proposed to have partial processing of the PV power using DC/DC converters which feed their output into capacitors connected in the same string of the PV modules. To further decrease the system cost and improve the efficiency, more than one PV modules can feed their partial power into the same capacitor. As the number of PV modules that share the same capacitor increases, the system cost decreases further. The validity of the proposed method is verified through simulation studies and hardware experimentation.
Comparative Study of Adult Porcine Pancreatic Endocrine Cell Preparation Using a Technique of Multiple Injections and Pancreatic Duct Cannulation Without a Proteolytic Enzyme

Introduction A method for isolation and primary monolayer culture of pancreatic endocrine (PE) cells from the porcine pancreas has already been established. It is very important for the PE cell preparation to expand the pancreas to separate PE cells from acinar cells. For this purpose, we developed a pancreatic injection system. Aim To compare two pancreatic injection methods: perfusion from an accessory pancreatic duct (cannulation method) and the traditional pancreatic tissue injection method (multiple injection method). Results A comparison of the results of the two methods revealed that the PE cell yield was significantly higher with the cannulation method (2.97 ± 0.59 × 107 cells per pancreas) than with the multiple injection method (0.89 ± 0.15 × 107 cells per pancreas) (p < 0.0001). The number of dithizone-positive cells was significantly higher with the cannulation method (1.64 ± 0.36 × 107 cells per pancreas) than with the multiple injection method (0.36 ± 0.09 × 107 cells per pancreas) (p < 0.0001). The number of adhesion cells after 7 days of culture following isolation was higher with the cannulation method (1.07 ± 0.26 × 107 cells per pancreas) than with the multiple injection method (0.36 ± 0.03 × 107 cells per pancreas) (p < 0.0001). The glucose stimulation index of insulin secretion was higher with the cannulation method than with the multiple injection method (p < 0.01). Conclusion These results indicate that pancreatic duct perfusion is useful for obtaining a high yield of PE cells from porcine pancreases.
Nepalese students' reflections on UK university education

This thesis analyses the reflections on UK university Business Studies courses of Nepalese graduates who choose to return home to Nepal after graduating. It considers the personal and cultural influences on educational decision-making that led them to choosing to study in the UK and their post-graduation employment expectations. The primary research was undertaken at a time when UK universities were facing increasing competition to recruit international students and numbers of Nepalese students choosing to study in the UK had dropped. In addition, Nepalese graduates choosing to return home were faced with scarcity of employment opportunities due to political uncertainty and improvements to local higher education. The qualitative, inductive research was based on semi-structured interviews which took place in Nepal with twenty-three Nepalese graduates, their Nepalese employers and Nepalese education consultancies. Data was analysed using the ecological, five systems model of Bronfenbrenner (1979) and Trompenaars and Hampden-Turner’s (2012) Intercultural Awareness Profiling (IAP) of graduates. In addition to identifying five major themes and associate themes, the findings extend beyond existing “push-pull” models by identifying how a graduate’s understanding of cultural orientation affects their decision-making. Although the overall expectations of Nepalese students and employers towards UK higher education remain positive, results indicated a lowering in their estimation of the quality and reputation of UK universities. The outcomes of the research make a valuable contribution to the knowledge of how and why international, specifically Nepalese, students choose overseas higher education. The findings also establish why Nepalese employers are struggling to see clear benefits from employing UK educated Nepalese business graduates. Recommendations are made for changes to be implemented to business studies courses to help university practitioners better meet the needs and expectations of future Nepalese students, graduates and employers. These recommendations reflect a deeper understanding of educational decision-making of international students.
A Divide-and-Conquer Approach for Large-Scale Multi-label Learning

Recently, the multi-label learning has drawn considerable attention as it has many applications in text classification, image annotation and query/keyword suggestions etc. In recent years, a number of remedies have been proposed to address this challenging task. However, they are either tree based methods which has the expensive train costs or embedding based methods which has relatively lower accuracy since using simple reduction techniques. This paper addresses the issue by developing an efficient divide-and-conquer based approach. Specifically, it involves: a) utilizing the feature vector to cluster the training data into several clusters, b) reformulating the multi-label problems as recommended problems by treating each label as an item to be recommended, and c) learning an advanced factorization model to recommend the subset of labels to each point for local cluster. Extensive experiments on several real world multi-label datasets demonstrate the efficiency of our proposed algorithm.
The determination of specificity constants in enzyme-catalysed reactions.

A convenient and accurate procedure for determining the kinetic parameter Vmax. /Km is described. This avoids the error in the usual method of taking the observed first-order rate constant of an enzymic reaction at low substrate concentration as Vmax. /Km. A series of reactions is used in which the initial concentration of substrate is below Km (e.g. from 5% to 50% of Km). Measurements are taken over the same extent of reaction (e.g. 70%) for each member of the series, and treated as if the kinetics were truly first-order. The reciprocal of the observed first-order rate constant is then plotted against the initial concentration of substrate: the reciprocal of the ordinate intercept is Vmax. /Km. The procedure, as well as being applicable to simple reactions, is shown to be valid when there is competitive inhibition by the product, or when the reaction is reversible, or when there is competitive or mixed inhibition. The hydrolysis of cephalosporin C by a beta-lactamase from Pseudomonas aeruginosa is used to illustrate the method.
THE JOURNAL OF TEACHING ENGLISH FOR SPECIFIC AND ACADEMIC PURPOSES

Modern times require a functional level of the knowledge of the English language. Big corporations expect their future employees both to know English for Business and Economic Purposes and to possess sophisticated business skills. The task of the ESP teacher is to instruct learners to successfully develop linguistic as well as non-linguistic skills. One of the ways of doing so is by means of the case study analysis method, which might be considered as one of the most valuable methodological tools, as it provides learners with an authentic learning environment and authentic study materials. In order to successfully realize the case study task, the ESP practitioner is supposed to establish interdisciplinary collaboration with core-subject professors, who will significantly contribute to effective and efficient business solutions proposed by ESP students. The aim of this paper is to give a theoretical review of case studies and present the results of the survey on the role of case studies in ESP classes conducted at the Faculty of Economics, University of Niš. The paper will also point to advantages and disadvantages of using this teaching approach. In the end, the paper will give the suggestions about the ways as to how to overcome common obstacles which arise in the course of conducting this ESP teaching and study method.
Evidence‐based systems engineering

Systems engineering as with many other disciplines has a foundational challenge of using evidence as the basis for decisions that need to be made in support of the engineering and operations of systems. This challenge is compounded by increasing complexity and rates of changes of modern systems and the large amount of data that is available from these systems and their environments. To address these challenges and opportunities, systems engineering needs to modernize and develop new methods, processes, and tools to ensure that best objective evidence is habitually applied. The authors propose a framework, a systematic way of leveraging available evidence to make decisions or solve problems, both in the practice of systems engineering and in its application domains. This framework includes the combining of scientific knowledge with data analytics to produce best evidence, and then applying mediating context factors to the evidence to make SE decisions. Lessons learned from evidence‐based practice in other domains, especially law and medicine, are described and incorporated into evidence‐based systems engineering (EBSE). Finally, this article provides examples of applying EBSE in practice within SE as well as in SE application domains.
Ancillary health effects of climate mitigation scenarios as drivers of policy uptake: a review of air quality, transportation and diet co-benefits modeling studies

Background: Significant mitigation efforts beyond the Nationally Determined Commitments (NDCs) coming out of the 2015 Paris Climate Agreement are required to avoid warming of 2 °C above pre-industrial temperatures. Health co-benefits represent selected near term, positive consequences of climate policies that can offset mitigation costs in the short term before the beneficial impacts of those policies on the magnitude of climate change are evident. The diversity of approaches to modeling mitigation options and their health effects inhibits meta-analyses and syntheses of results useful in policy-making. Methods/Design: We evaluated the range of methods and choices in modeling health co-benefits of climate mitigation to identify opportunities for increased consistency and collaboration that could better inform policy-making. We reviewed studies quantifying the health co-benefits of climate change mitigation related to air quality, transportation, and diet published since the 2009 Lancet Commission ‘Managing the health effects of climate change’ through January 2017. We documented approaches, methods, scenarios, health-related exposures, and health outcomes. Results/Synthesis: Forty-two studies met the inclusion criteria. Air quality, transportation, and diet scenarios ranged from specific policy proposals to hypothetical scenarios, and from global recommendations to stakeholder-informed local guidance. Geographic and temporal scope as well as validity of scenarios determined policy relevance. More recent studies tended to use more sophisticated methods to address complexity in the relevant policy system. Discussion: Most studies indicated significant, nearer term, local ancillary health benefits providing impetus for policy uptake and net cost savings. However, studies were more suited to describing the interaction of climate policy and health and the magnitude of potential outcomes than to providing specific accurate estimates of health co-benefits. Modeling the health co-benefits of climate policy provides policy-relevant information when the scenarios are reasonable, relevant, and thorough, and the model adequately addresses complexity. Greater consistency in selected modeling choices across the health co-benefits of climate mitigation research would facilitate evaluation of mitigation options particularly as they apply to the NDCs and promote policy uptake.
Language use in an internet support group for smoking cessation: development of sense of community

The use of the internet for health purposes is increasing, as is the number of sites and online communities aimed at helping people to stop smoking. Some of the effects of online communities may be mediated through a sense of community. By using the computer-program Linguistic Inquiry and Word Count with a Norwegian dictionary, we investigated whether there was a development of sense of community in a forum related to a Norwegian smoking cessation intervention, by examining the use of self-referencing vs. collective referencing words. Data from a 4-year period, including in total 5242 web pages, were included. There was a significant increase in the use of collective words over time and a significant decrease in the use of self-referencing words. The increase in the use of collective words suggests that there appears to be a development of a sense of community in the forum over time. More research is needed to study the importance of an online sense of community.
Optimization and modeling of reduction of wastewater sludge water content and turbidity removal using magnetic iron oxide nanoparticles (MION)

Economic and rapid reduction of sludge water content in sewage wastewater is difficult and requires special advanced treatment technologies. This study focused on optimizing and modeling decreased sludge water content (Y1) and removing turbidity (Y2) with magnetic iron oxide nanoparticles (Fe3O4, MION) using a central composite design (CCD) and response surface methodology (RSM). CCD and RSM were applied to evaluate and optimize the interactive effects of mixing time (X1) and MION concentration (X2) on chemical flocculent performance. The results show that the optimum conditions were 14.1 min and 22.1 mg L−1 for response Y1 and 16.8 min and 8.85 mg L−1 for response Y2, respectively. The two responses were obtained experimentally under this optimal scheme and fit the model predictions well (R2 = 97.2% for Y1 and R2 = 96.9% for Y2). A 90.8% decrease in sludge water content and turbidity removal of 29.4% were demonstrated. These results confirm that the statistical models were reliable, and that the magnetic flocculation conditions for decreasing sludge water content and removing turbidity from sewage wastewater were appropriate. The results reveal that MION are efficient for rapid separation and are a suitable alterative to sediment sludge during the wastewater treatment process.
Neural Activation During Response Competition

The flanker task, introduced by Eriksen and Eriksen [Eriksen, B. A. , & Eriksen, C. W. (1974). Effects of noise letters upon the identification of a target letter in a nonsearch task. Perception & Psychophysics, 16, 143-149], provides a means to selectively manipulate the presence or absence of response competition while keeping other task demands constant. We measured brain activity using functional magnetic resonance imaging (fMRI) during performance of the flanker task. In accordance with previous behavioral studies, trials in which the flanking stimuli indicated a different response than the central stimulus were performed significantly more slowly than trials in which all the stimuli indicated the same response. This reaction time effect was accompanied by increases in activity in four regions: the right ventrolateral prefrontal cortex, the supplementary motor area, the left superior parietal lobe, and the left anterior parietal cortex. The increases were not due to changes in stimulus complexity or the need to overcome previously learned associations between stimuli and responses. Correspondences between this study and other experiments manipulating response interference suggest that the frontal foci may be related to response inhibition processes whereas the posterior foci may be related to the activation of representations of the inappropriate responses.
Asymmetric monetary policy responses and the effects of a rise in the inflation target

The effective lower bound (ELB) on interest rates introduces an explicit non-linearity for feasible monetary policy paths: interest rates cannot go below a certain rate. In a forward looking environment, the ELB can affect the monetary policy decisions not only when the bound is reached, but also when there is a possibility that the bound may be reached in the future. In this context, as a recommendation for monetary policy in a low-inflation environment, Reifschneider and Williams (2002 FOMC) propose an asymmetric Taylor Rule with a threshold level that automatically drives the interest rate to zero whenever they fall below one percent. I test the hypothesis that the Federal Reserve has behaved in a manner consistent with Reifschneider and Williams’ advice, finding evidence of a negative correlation between the level of the interest rate and the strength of the monetary policy response. Using an estimated nonlinear DSGE model, I show that a monetary policy which act symmetrically and asymmetrically can have significantly different consequences. In particular, I study the relevance of this behavior for the analysis of a permanent rise of the inflation target.
KNOX Lost the OX: The Arabidopsis KNATM Gene Defines a Novel Class of KNOX Transcriptional Regulators Missing the Homeodomain[W]

Three amino acid loop extension (TALE) homeodomain transcriptional regulators play a central role in plant and animal developmental programs. Plant KNOTTED1-like homeobox (KNOX) and animal Myeloid ecotropic viral integration site (MEIS) proteins share a TALE homeodomain and a MEINOX (MEIS-KNOX) domain, suggesting that an ancestral MEINOX-TALE protein predates the divergence of plants from fungi and animals. In this study, we identify and characterize the Arabidopsis thaliana KNATM gene, which encodes a MEINOX domain but not a homeodomain. Phylogenetic analysis of the KNOX family places KNATM in a new class and shows conservation in dicotyledons. We demonstrate that KNATM selectively interacts with Arabidopsis BELL TALE proteins through the MEINOX domain. The homeodomain is known to be necessary for KNOX–KNOX interaction. On the contrary, KNATM specifically dimerizes with the KNOX protein BREVIPEDICELLUS through an acidic coiled-coil domain. KNATM is expressed in proximal-lateral domains of organ primordia and at the boundary of mature organs; in accordance, genetic analyses identify a function for KNATM in leaf proximal-distal patterning. In vivo domain analyses highlighted KNATM functional regions and revealed a role as transcriptional regulator. Taken together, our data reveal a homeodomain-independent mechanism of KNOX dimerization and transcriptional regulation.
Statistical Approach to Stock Market Overreaction and Seasonality

Author(s): Hu, YuYan | Advisor(s): Schoenberg, Rick Paik | Abstract: In their study "Does the Stock Market Overreact? ", Debondt and Thaler proposed the overreaction hypothesis, which states that if a stock experiences significant price movement, then a subsequent price movement in the opposite direction is likely to follow. Moreover, the level of extremeness is positively correlated between the initial and the following price movement. In this study we would adopt the similar algorithm, using the data of recent three decades to test the overreaction hypothesis. Besides, the study of overreaction has shed light to the research of "January Effect" in stock market. A linear regression model will be used to test the existence of "January Effect", by analyzing the stocks with greater lossesduring a 5-year period.
The Roles of Intersubunit Interactions in Exosome Stability*

In eukaryotes, at least 10 proteins associate in a 3′-5′ exonuclease complex, the exosome, which is involved in the processing of many RNA species. A recent model for the exosome placed six RNase PH-related components in a hexameric ring core structure, with three S1 domain proteins associated with the ring surface. So far, however, this model lacks experimental support. Using a combination of RNA interference, complex affinity purification, and yeast two-hybrid approaches, we show here that the RNase PH homologues are important for maintenance of complex integrity. In contrast, the S1 domain proteins are not required for complex stability, although they are required for exosome function. Our results are partially consistent with the proposed model of the exosome, but indicate a different arrangement of the RNase PH proteins.