Miracle-dz/UniFAR-FTUs huggingface dataset:
WORKING PAPERS Local Market Structure and Strategic Organizational Form Choices : Evidence from Gasoline Stations

An extensive literature shows that agency issues and transactions costs influence vertical integration. Another mature literature indicates that market structure influences competitive behavior. However, less consideration has been given to how vertical integration and market structure may interact. I address this gap by focusing on the potential for moral hazard caused by intra-firm competition in retail gasoline markets. I argue that when multiple stations share a common brand in a market, a vertically separated station has an incentive to deviate from the cooperative strategy that the brand-owning refiner would prefer. I empirically test this prediction using rich data, and find evidence of such moral hazard. Moreover, I find that refiners behave in a way consistent with the desire to minimize it: They are more likely to employ vertically separated contracts in markets where the number of affiliated stations is small. JEL classification: D2, L14, L22, L81
Who should fix this bug?

Open source development projects typically support an open bug repository to which both developers and users can report bugs. The reports that appear in this repository must be triaged to determine if the report is one which requires attention and if it is, which developer will be assigned the responsibility of resolving the report. Large open source developments are burdened by the rate at which new bug reports appear in the bug repository. In this paper, we present a semi-automated approach intended to ease one part of this process, the assignment of reports to a developer. Our approach applies a machine learning algorithm to the open bug repository to learn the kinds of reports each developer resolves. When a new report arrives, the classifier produced by the machine learning technique suggests a small number of developers suitable to resolve the report. With this approach, we have reached precision levels of 57% and 64% on the Eclipse and Firefox development projects respectively. We have also applied our approach to the gcc open source development with less positive results. We describe the conditions under which the approach is applicable and also report on the lessons we learned about applying machine learning to repositories used in open source development.
TIM3+FOXP3+ regulatory T cells are tissue-specific promoters of T-cell dysfunction in cancer

T-cell immunoglobulin mucin 3 (TIM3) is an inhibitory molecule that has emerged as a key regulator of dysfunctional or exhausted CD8+ T cells arising in chronic diseases such as cancer. In addition to exhausted CD8+ T cells, highly suppressive regulatory T cells (Tregs) represent a significant barrier against the induction of antitumor immunity. We have found that the majority of intratumoral FOXP3+ Tregs express TIM3. TIM3+ Tregs co-express PD-1, are highly suppressive and comprise a specialized subset of tissue Tregs that are rarely observed in the peripheral tissues or blood of tumor-bearing mice. The co-blockade of the TIM3 and PD-1 signaling pathways in vivo results in the downregulation of molecules associated with TIM3+ Treg suppressor functions. This suggests that the potent clinical efficacy of co-blocking TIM3 and PD-1 signal transduction cascades likely stems from the reversal of T-cell exhaustion combined with the inhibition of regulatory T-cell function in tumor tissues. Interestingly, we find that TIM3+ Tregs accumulate in the tumor tissue prior to the appearance of exhausted CD8+ T cells, and that the depletion of Tregs at this stage interferes with the development of the exhausted phenotype by CD8+ T cells. Collectively, our data indicate that TIM3 marks highly suppressive tissue-resident Tregs that play an important role in shaping the antitumor immune response in situ, increasing the value of TIM3-targeting therapeutic strategies against cancer.
Advances in Electrophysiological Research

Electrophysiological measures of brain function are effective tools to understand neurocognitive phenomena and sensitive indicators of pathophysiological processes associated with various clinical conditions, including alcoholism. Individuals with alcohol use disorder (AUD) and their high-risk offspring have consistently shown dysfunction in several electrophysiological measures in resting state (i.e., electroencephalogram) and during cognitive tasks (i.e., event-related potentials and event-related oscillations). Researchers have recently developed sophisticated signal-processing techniques to characterize different aspects of brain dynamics, which can aid in identifying the neural mechanisms underlying alcoholism and other related complex disorders. These quantitative measures of brain function also have been successfully used as endophenotypes to identify and help understand genes associated with AUD and related disorders. Translational research also is examining how brain electrophysiological measures potentially can be applied to diagnosis, prevention, and treatment.
Prevalence of hepatic iron overload and association with hepatocellular cancer in end‐stage liver disease: results from the National Hemochromatosis Transplant Registry

Background: It is unclear whether mild to moderate iron overload in liver diseases other than hereditary haemochromatosis (HH) contributes to hepatocellular carcinoma. This study examined the association between hepatic iron grade and hepatocellular carcinoma in patients with end‐stage liver disease of diverse aetiologies.
The Evolution of Tyrosine-Recombinase Elements in Nematoda

Transposable elements can be categorised into DNA and RNA elements based on their mechanism of transposition. Tyrosine recombinase elements (YREs) are relatively rare and poorly understood, despite sharing characteristics with both DNA and RNA elements. Previously, the Nematoda have been reported to have a substantially different diversity of YREs compared to other animal phyla: the Dirs1-like YRE retrotransposon was encountered in most animal phyla but not in Nematoda, and a unique Pat1-like YRE retrotransposon has only been recorded from Nematoda. We explored the diversity of YREs in Nematoda by sampling broadly across the phylum and including 34 genomes representing the three classes within Nematoda. We developed a method to isolate and classify YREs based on both feature organization and phylogenetic relationships in an open and reproducible workflow. We also ensured that our phylogenetic approach to YRE classification identified truncated and degenerate elements, informatively increasing the number of elements sampled. We identified Dirs1-like elements (thought to be absent from Nematoda) in the nematode classes Enoplia and Dorylaimia indicating that nematode model species do not adequately represent the diversity of transposable elements in the phylum. Nematode Pat1-like elements were found to be a derived form of another Pat1-like element that is present more widely in animals. Several sequence features used widely for the classification of YREs were found to be homoplasious, highlighting the need for a phylogenetically-based classification scheme. Nematode model species do not represent the diversity of transposable elements in the phylum.
Mining association rules with adjustable accuracy

In this paper, we devise efficient algorithms for mining association rules with adjustable accuracy. It is noted that several applications require mining the transaction data to capture the customer behavior frequently. In those applications, the efficiency of data mining could be a more important faktor t.han the requirement for complete accuracy of the mining results. Allowing imprecise results can significantly improve the data mining efficiency. In this paper, two methods for mining association rules with adjustable accuracy are developed. By dealing with the concept of sampling, both methods obtain some essential knowledge from a sampled subset first, and in light of that knowledge, perform efficient association rule mining on the entire database. A technique of relaxing the support factor based on the sampling size is devised to achieve the desired level of accuracy. These two methods differ from each other in their ways of utilizing the sampled data. Performance of these two methods is comparatively analyzed. As shown by our experimental results, the relaxation factor, as well as the sample size, can be properly adjusted so as to improve the result accuracy while minimizing the corresponding execution time, thereby allowing us to effectively achieve a design trade-off between accuracy and efficiency with two control parameters. It is shown that with the advantage of controlled sampling, the proposed methods are very flexible and efficient, and can in general lead to results of a very high degree of accuracy.
Optimal walking of an underactuated planar biped with segmented torso

Recently, underactuated bipeds with pointed feet have been studied to achieve dynamic and energy efficient robot walking patterns. However, these studies usually simplify a robot torso as one link, which is different from a human torsos containing 33 vertebrae. In this paper, therefore, we study the optimal walking of a 6-link planar biped with a segmented torso derived from its 5-link counterpart while ensuring that two models are equivalent when the additional torso joint is locked. For the walking, we suppose that each step is composed of a single support phase and an instantaneous double support phase, and two phases are connected by a plastic impact mapping. In addition, the controlled outputs named symmetry outputs capable of generating exponentially stable orbits using hybrid zero dynamics, are adopted to improve physical interpretation. The desired outputs are parameterized by Bézier functions, with 5-link robot having 16 parameters to optimize and 6-link robot having 19 parameters. According to our energy criterion, the segmented torso structure may reduce energy consumption up to 8% in bipedal walking, and the maximum energy saving is achieved at high walking speeds, while leaving the criteria at low walking speeds remain similar for both robots.
Parallel Sorting in Two-Dimensional VLSI Models of Computation

The gradual refinement of a general approach to two-dimensional sorting, the shear-sort algorithm, to more sophisticated and specialized sorting algorithms on mesh-connected computers is described. The analysis of the shear-sort algorithm gives rise to a novel perspective of two-dimensional sorting, which seems to be a very powerful tool for developing efficient algorithms. The same methods can be extended for sorting in higher dimensions, for example, in the three-dimensional mesh. The concept of clean and dirty rows can be modified to clean and dirty planes (or hyperplanes for dimensions greater than three). Although only two schemes (purely recursive and iterative) are explicitly described, the reader may construct his own algorithm using similar technique and slight modifications. Designing an O(n) algorithm for sorting on a mesh becomes much simpler using the techniques developed. >
PRC1 is a microtubule binding and bundling protein essential to maintain the mitotic spindle midzone

Midzone microtubules of mammalian cells play an essential role in the induction of cell cleavage, serving as a platform for a number of proteins that play a part in cytokinesis. We demonstrate that PRC1, a mitotic spindle-associated Cdk substrate that is essential to cell cleavage, is a microtubule binding and bundling protein both in vivo and in vitro. Overexpression of PRC1 extensively bundles interphase microtubules, but does not affect early mitotic spindle organization. PRC1 contains two Cdk phosphorylation motifs, and phosphorylation is possibly important to mitotic suppression of bundling, as a Cdk phosphorylation-null mutant causes extensive bundling of the prometaphase spindle. Complete suppression of PRC1 by siRNA causes failure of microtubule interdigitation between half spindles and the absence of a spindle midzone. Truncation mutants demonstrate that the NH2-terminal region of PRC1, rich in α-helical sequence, is important for localization to the cleavage furrow and to the center of the midbody, whereas the central region, with the highest sequence homology between species, is required for microtubule binding and bundling activity. We conclude that PRC1 is a microtubule-associated protein required to maintain the spindle midzone, and that distinct functions are associated with modular elements of the primary sequence.
Implications of Rent's Rule for NoC Design and Its Fault-Tolerance

Rent's rule is a powerful tool for exploring VLSI design and technology scaling issues. This paper applies the principles of Rent's rule to the analysis of networks-on-chip (NoC). In particular, a bandwidth-version of Rent's rule is derived, and its implications for future NoC scaling examined. Hop-length distributions for Rent's and other traffic models are then applied to analyse NoC router activity. For fault-tolerant design, a new type of router is proposed based on this analysis, and it is evaluated for mutability and its impact on congestion by further use of the hop-length distributions. It is shown that the choice of traffic model has a significant impact on scaling behaviour, design and fault-tolerant analysis
The Growth Hormone Secretagogue Receptor: Its Intracellular Signaling and Regulation

The growth hormone secretagogue receptor (GHSR), also known as the ghrelin receptor, is involved in mediating a wide variety of biological effects of ghrelin, including: stimulation of growth hormone release, increase of food intake and body weight, modulation of glucose and lipid metabolism, regulation of gastrointestinal motility and secretion, protection of neuronal and cardiovascular cells, and regulation of immune function. Dependent on the tissues and cells, activation of GHSR may trigger a diversity of signaling mechanisms and subsequent distinct physiological responses. Distinct regulation of GHSR occurs at levels of transcription, receptor interaction and internalization. Here we review the current understanding on the intracellular signaling pathways of GHSR and its modulation. An overview of the molecular structure of GHSR is presented first, followed by the discussion on its signaling mechanisms. Finally, potential mechanisms regulating GHSR are reviewed.
The Biological and Metabolic Fates of Endogenous DNA Damage Products

DNA and other biomolecules are subjected to damaging chemical reactions during normal physiological processes and in states of pathophysiology caused by endogenous and exogenous mechanisms. In DNA, this damage affects both the nucleobases and 2-deoxyribose, with a host of damage products that reflect the local chemical pathology such as oxidative stress and inflammation. These damaged molecules represent a potential source of biomarkers for defining mechanisms of pathology, quantifying the risk of human disease and studying interindividual variations in cellular repair pathways. Toward the goal of developing biomarkers, significant effort has been made to detect and quantify damage biomolecules in clinically accessible compartments such as blood and and urine. However, there has been little effort to define the biotransformational fate of damaged biomolecules as they move from the site of formation to excretion in clinically accessible compartments. This paper highlights examples of this important problem with DNA damage products.
Case-control study of craniomandibular disorders in patients with fibromyalgia

Background Fibromyalgia is a clinical syndrome characterized by chronic widespread pain, which is non-articular and is predominantly experienced in the muscles and vertebral column, and by extensive heightened sensitivity to local pressure at many specific points The purpose of this study was to measure differences in the level of painful symptoms and in the movements of the mandible in a group of patients who had been diagnosed as suffering from fibromyalgia, in comparison with a control group. The anxiety and subjective pain levels and their relation with mandibular mobility were also compared. Material and Methods A case-control study was designed. The temporomandibular joints and masticatory muscles of the cases (n=20) and controls (n=18) were examined, anxiety was assessed by the STAI index and subjective pain was measured on a visual analogue scale. The data analysis was carried out with SPSS v.19. 0 software. The descriptive data were expressed as means and proportions at a 95% confidence interval. The proportions were compared with the chi-square test and the means with the Mann-Whitney U test. Pearson’s correlation coefficient was used to measure the association between quantitative variables. Results The fibromyalgia patients (the case group) presented a higher level of pain following the musculoskeletal examination and significantly greater symptoms at the examination points. Regarding joint mobility, significant differences in mandibular opening were found (cases 43.4 mm vs controls 47.2 mm, p = 0.042). The mean pain score of the cases was significantly higher than that of the controls (4.03 vs 1.8, p = 0.001) but no significant differences were found in the anxiety index (23.8 vs 23.4). Conclusions patients with fibromyalgia are affected to a greater extent by craniomandibular disorders, with lower mouth opening and higher pain levels than healthy persons. However, the anxiety levels of the two groups are similar. Key words:Fibromyalgia, orofacial pain, temporomandibular disorder.
Examining Trust in Information Technology Artifacts: The Effects of System Quality and Culture

The topic of trust in information technology (IT) artifacts has piqued interest among researchers, but studies of this form of trust are not definitive regarding which factors contribute to it the most. Our study empirically tests a model of trust in IT artifacts that increases our understanding in two ways. First, it sets forth two previously unexamined system quality constructs-navigational structure and visual appeal. We found that both of these system quality constructs significantly predict the extent to which users place trust in mobile commerce technologies. Second, our study considers the effect of culture by comparing the trust of French and American potential users in m-commerce technologies. We found that not only does culture directly affect user trust in IT artifacts but it also moderates the extent to which navigational structure affects this form of trust. These findings show that system quality and culture significantly affect trust in the IT artifact and point to rich possibilities for future research in these areas.
Analysis of macromolecular biosynthesis to define the quinolone-induced postantibiotic effect in Escherichia coli

Quinolones inhibit DNA gyrase, and the major effects of this inhibition are on replication and transcription of DNA. The postantibiotic effect (PAE) refers to continued inhibition of cell division, in terms of the viable count, following transient exposure to an antibiotic. Previous work has shown that quinolone-treated cells have not fully recovered by the time the classically defined PAE has ended. We describe the PAE of the quinolones CI-960, enoxacin, and ciprofloxacin on macromolecular biosynthesis in the clinical isolate Escherichia coli J96 in an attempt to relate the PAE to the time that it actually takes for the cells to recover fully. DNA synthesis was inhibited immediately upon exposure to these quinolones at 0.5x or 0.75x the MIC. This inhibition continued for several hours following quinolone removal. The effects of these quinolones on RNA and protein synthesis varied; enoxacin treatment at 0.5x the MIC resulted in an increase of over 60% in both RNA and protein synthesis per unit of cell mass, while ciprofloxacin and CI-960 at that level had no significant effects on either RNA or protein synthesis. The effects of enoxacin and ciprofloxacin on bacterial protein profiles were also distinguishable, and these changes corresponded to their PAE on DNA synthesis. Throughout the study, all measures of the physiological status of the cells returned to normal by the time DNA synthesis per unit of cell mass did so. These results suggest that DNA synthesis per unit of cell mass provides an accurate measure of the time required for quinolone-treated cells to recover fully.
International Trade and Institutional Change

This paper analyzes the impact of international trade on the quality of institutions, such as contract enforcement, property rights, or investor protection. It presents a model in which imperfect institutions create rents for some parties within the economy, and are a source of comparative advantage in trade. Institutional quality is determined as an equilibrium of a political economy game. When countries share the same technology, there is a "race to the top'' in institutional quality: irrespective of country characteristics, both trade partners are forced to improve institutions after opening. On the other hand, domestic institutions will not improve in either country when one of the countries has a strong enough technological comparative advantage in the institutionally intensive good. We provide empirical evidence for a related cross-sectional prediction of the model. Countries whose exogenous geographical characteristics predispose them to exporting in institutionally intensive sectors exhibit significantly higher institutional quality.
The use of confidence measures in unsupervised adaptation of speech recognizers

A conduit is traversed by a screw, which screw may or may not be capable of rotating within the conduit, the screw alone, or the screw together with the conduit, become rotatable around their common axis when fluid under pressure enters from one end of the conduit, exits from the other by traversing the helical path of the screw. The construction in which the screw is rotatable within the conduit is found suitable for producing a pulsating stream of water and for building showerheads for selectively producing different types of streams, such as (a) pulsating stream, (b) spray, and (c) soft bubbly aerated stream. Various valves manually operated by a part of the showerhead perform the selection. The pulsating stream is achieved by a screw having helical threads that makes a snug fit with the inside wall of a cylindrical pipe through which the water flows; the flow rotating the screw which in turn operates a valve that at least partially interrupts the flow of water through an outlet orifice. In the case of a hand-held showerhead, the pipe containing the screw constitutes a handle for the device.
GeoF: Geodesic Forests for Learning Coupled Predictors

Conventional decision forest based methods for image labelling tasks like object segmentation make predictions for each variable (pixel) independently [3, 5, 8]. This prevents them from enforcing dependencies between variables and translates into locally inconsistent pixel labellings. Random field models, instead, encourage spatial consistency of labels at increased computational expense. This paper presents a new and efficient forest based model that achieves spatially consistent semantic image segmentation by encoding variable dependencies directly in the feature space the forests operate on. Such correlations are captured via new long-range, soft connectivity features, computed via generalized geodesic distance transforms. Our model can be thought of as a generalization of the successful Semantic Texton Forest, Auto-Context, and Entangled Forest models. A second contribution is to show the connection between the typical Conditional Random Field (CRF) energy and the forest training objective. This analysis yields a new objective for training decision forests that encourages more accurate structured prediction. Our GeoF model is validated quantitatively on the task of semantic image segmentation, on four challenging and very diverse image datasets. GeoF outperforms both state of-the-art forest models and the conventional pair wise CRF.