Miracle-dz/UniFAR-FTUs huggingface dataset:
Missing Disinflation and Missing Inflation: A VAR Perspective

In the immediate wake of the Great Recession we didn't see the disinflation that most models predicted and, subsequently, we didn't see the inflation they predicted. We show that these puzzles disappear in a vector autoregressive model that properly accounts for domestic and external factors. This model reveals strong spillovers from U.S. to euro-area inflation in the Great Recession. By contrast, domestic factors explain much of the euro-area inflation dynamics during the 2012-14 missing inflation episode. Consequently, euro-area economists and models that excessively focused on the global nature of inflation were liable to miss the contribution of deflationary domestic shocks in this period.
Can Intellectual Property Rights Affect Multinational Enterprises’ Entry Modes? The Chilean Case

Abstract Multinational Enterprises (MNEs) can choose between exporting, introducing foreign direct investment (FDI), and licensing to a domestic firm among other modes of entry to a new market. Yet, this decision may be affected by the strength of intellectual property rights (IPR). Thus, this paper analyzes the effect of stronger IPR on the entry modes chosen by MNEs. We propose a theoretical model that predicts that in the presence of stronger IPR, MNEs would choose licensing instead of FDI as an entry mode. We test the predictions of the model using plant-level data for Chile for the period 2001–2007. We exploit the exogenous reform of IPR in 2005, controlling for the activities of industries where high levels of technology transfer and imitation are important factors. The main results show that stronger IPR change the mode of entry chosen by MNEs. In this case, FDI is replaced by licensing. This is explained by Chile’s high absorptive capacity during this period. We test whether this effect differs across high- and low-tech industries and conclude that the displacement of FDI is less severe in high-tech industries.
Constructing Neuronal Network Models in Massively Parallel Environments

Recent advances in the development of data structures to represent spiking neuron network models enable us to exploit the complete memory of petascale computers for a single brain-scale network simulation. In this work, we investigate how well we can exploit the computing power of such supercomputers for the creation of neuronal networks. Using an established benchmark, we divide the runtime of simulation code into the phase of network construction and the phase during which the dynamical state is advanced in time. We find that on multi-core compute nodes network creation scales well with process-parallel code but exhibits a prohibitively large memory consumption. Thread-parallel network creation, in contrast, exhibits speedup only up to a small number of threads but has little overhead in terms of memory. We further observe that the algorithms creating instances of model neurons and their connections scale well for networks of ten thousand neurons, but do not show the same speedup for networks of millions of neurons. Our work uncovers that the lack of scaling of thread-parallel network creation is due to inadequate memory allocation strategies and demonstrates that thread-optimized memory allocators recover excellent scaling. An analysis of the loop order used for network construction reveals that more complex tests on the locality of operations significantly improve scaling and reduce runtime by allowing construction algorithms to step through large networks more efficiently than in existing code. The combination of these techniques increases performance by an order of magnitude and harnesses the increasingly parallel compute power of the compute nodes in high-performance clusters and supercomputers.
Age estimation using pulp/tooth area ratio in maxillary canines-A digital image analysis

Introduction: Determination of age of a subject is one of the most important aspects of medico-legal cases and anthropological research. Radiographs can be used to indirectly measure the rate of secondary dentine deposition which is depicted by reduction in the pulp area. Materials and Methods: In this study, 200 patients of Karnataka aged between 18-72 years were selected for the study. Panoramic radiographs were made and indirectly digitized. Radiographic images of maxillary canines (RIC) were processed using a computer-aided drafting program (ImageJ). The variables pulp/root length (p), pulp/tooth length (r), pulp/root width at enamel-cementum junction (ECJ) level (a), pulp/root width at mid-root level (c), pulp/root width at midpoint level between ECJ level and mid-root level (b) and pulp/tooth area ratio (AR) were recorded. All the morphological variables including gender were statistically analyzed to derive regression equation for estimation of age. Results: It was observed that 2 variables ‘AR’ and ‘b’ contributed significantly to the fit and were included in the regression model, yielding the formula: Age = 87.305−480.455(AR)+48.108(b). Statistical analysis indicated that the regression equation with selected variables explained 96% of total variance with the median of the residuals of 0.1614 years and standard error of estimate of 3.0186 years. Conclusion: There is significant correlation between age and morphological variables ‘AR’ and ‘b’ and the derived population specific regression equation can be potentially used for estimation of chronological age of individuals of Karnataka origin.
A novel approach to measure local cerebral haematocrit using MRI

The percentage blood volume occupied by red blood cells is known as haematocrit. While it is straightforward to measure haematocrit in large arteries, it is very challenging to do it in microvasculature (cerebral haematocrit). Currently, this can only be done using invasive methods (e.g. PET), but their use is very limited. Local variations in cerebral haematocrit have been reported in various brain abnormalities (e.g. stroke, tumours). We propose a new approach to image cerebral haematocrit using MRI, which relies on combining data from two measurements: one that provides haematocrit-weighted and other one haematocrit-independent values of the same parameter, thus providing an easily obtainable measurement of this important physiological parameter. Four different implementations are described, with one illustrated as proof-of-concept using data from healthy subjects. Cerebral haematocrit measurements were found to be in general agreement with literature values from invasive techniques (e.g. cerebral/arterial ratios of 0.88 and 0.86 for sub-cortical and cortical regions), and showed good test–retest reproducibility (e.g. coefficient-of-variation: 15% and 13% for those regions). The method was also able to detect statistically significant haematocrit gender differences in cortical regions (p < 0.01). The proposed MRI technique should have important applications in various neurological diseases, such as in stroke and brain tumours.
Pulmonary delivery of antitubercular drugs using spray-dried lipid–polymer hybrid nanoparticles

The present study aimed to develop lipid–polymer hybrid nanoparticles (LPNs) for the combined pulmonary delivery of isoniazid (INH) and ciprofloxacin hydrochloride (CIP HCl). Drug-loaded LPNs were prepared by the double-emulsification solvent evaporation method using the three-factor three-level Box–Behnken design. The optimized formulation had a size of 111.81 ± 1.2 nm, PDI of 0.189 ± 1.4, and PDE of 63.64 ± 2.12% for INH-loaded LPN, and a size of 172.23 ± 2.31 nm, PDI of 0.169 ± 1.23, and PDE of 68.49 ± 2.54% for CIP HCl-loaded LPN. Drug release was found to be sustained and controlled at lower pH and followed the Peppas model. The in vitro uptake study in alveolar macrophage (AM) showed that uptake of the drugs was increased significantly if administered in the form of LPN. The stability study proved the applications of adding PLGA in LPN as the polymeric core, which leads to a much more stable product as compared to other novel drug delivery systems. Spray drying was done to produce an inhalable, dry, powdered form of drug-loaded LPN. The spray-dried (SD) powder was equally capable of producing nano-aggregates having morphology, density, flowability and reconstitutibility in the range ideal for inhaled drug delivery. The nano aggregates produced by spray drying manifested their aerosolization efficiency in terms of the higher emitted dose and fine particle fraction with lower mass median aerodynamic diameter. The in vivo study using pharmacokinetic and pharmacodynamic approaches revealed that maximum internalization efficiency was achieved by delivering LPN in SD powdered forms by pulmonary route.
An Empirical Study of FTL Performance in Conjunction with File System Pursuing Data Integrity

Due to the detachability of Flash storage, which is a dominant portable storage, data integrity stored in Flash storages becomes an important issue. This study considers the performance of Flash Translation Layer (FTL) schemes embedded in Flash storages in conjunction with file system behavior that pursue high data integrity. To assure extreme data integrity, file systems synchronously write all file data to storage accompanying hot write references. In this study, we concentrate on the effect of hot write references on Flash storage, and we consider the effect of absorbing the hot write references via nonvolatile write cache on the performance of the FTL schemes in Flash storage. In so doing, we quantify the performance of typical FTL schemes for a realistic digital camera workload that contains hot write references through experiments on a real system environment. Results show that for the workload with hot write references FTL performance does not conform with previously reported studies. We also conclude that the impact of the underlying FTL schemes on the performance of Flash storage is dramatically reduced by absorbing the hot write references via nonvolatile write cache.
The receptor‐binding and membrane‐fusion properties of influenza virus variants selected using anti‐haemagglutinin monoclonal antibodies.

A monoclonal antibody raised against X‐31 influenza virus reacted with the majority of natural H3N2 viruses isolated between 1968 and 1982. A number of variants of X‐31 and of a receptor‐binding mutant of X‐31 were selected by the antibody during virus replication in eggs and MDCK cells. Antibody‐binding assays indicated that the viruses selected were not antigenic variants and analyses using derivatized erythrocytes showed that their receptor‐binding properties differed from those of the parent viruses. The amino acid substitutions in the variants were all located in the vicinity of the receptor‐binding site and the structural consequences are discussed in relation to the three‐dimensional structure of X‐31 HA. In addition all of the variants fused membranes at higher pH than wild‐type virus indicating that structural modifications in the distal globular region of HA influence the low pH‐induced conformational change required for membrane fusion.
Functional Characterization of Two Secreted SEL1L Isoforms Capable of Exporting Unassembled Substrate*

SEL1L-A, a transmembrane glycoprotein residing in the endoplasmic reticulum (ER), is a component of the ER-associated degradation (ERAD) pathway. Alternative splicing generates two smaller SEL1L isoforms, -B and -C, that lack the SEL1L-A membrane-spanning region but retain some sel-1-like repeats, known to be involved in multi-protein interactions and signal transduction. In this study the functional characteristics of SEL1L-B and -C were investigated in human cell models. We show that these two isoforms are induced upon ER stress and activation of the unfolded protein response, together with SEL1L-A. Using transient transfection experiments (based on wild-type and mutant SEL1L constructs) combined with several biochemical tests we show that SEL1L-B and, more prominently, SEL1L-C are secreted glycoproteins. Although SEL1L-C is in monomeric form, SEL1L-B is engaged in intramolecular/intermolecular disulfide bonds. Both isoforms localize in secretory and degradative cellular compartments and in areas of cell-cell contact. However, whereas SEL1L-B is mainly associated with membranes, SEL1L-C shows the typical intralumenal localization of soluble proteins and is present in intercellular spaces. Furthermore, because of its peroxisomal domain, SEL1L-C localizes to peroxisomes. Both SEL1L-B and -C are involved in sorting and exporting unassembled Ig-μs but do not affect two other ERAD substrates, the null Hong Kong variant of α1-antitrypsin, and mutant α1-AT Z. Overall these findings suggest that SEL1L-B and -C participate to novel molecular pathways that, in parallel with ERAD, contribute to the disposure of misfolded/unfolded or orphan proteins through degradation or secretion.
Associations between prescription opioid injection and Hepatitis C virus among young injection drug users

Abstract Objective: Hepatitis C virus (HCV) incidence has been increasing among young injection drug users (IDUs). This analysis examined whether the emerging practice of prescription opioid (PO) injection is associated with self-reported HCV among young IDUs. Methods: Young IDUs (n = 162) aged 18–25-years-old who indicated recent misuse of prescription drugs were sampled in New York and Los Angeles during 2009–2011. Participants reported lifetime PO injection history and results from their most recent HCV test as well as demographic characteristics and lifetime drug use. Bivariate analyses examined relationships between covariates and both lifetime PO injection and HCV positivity. Poisson regression examined the associations between lifetime PO injection, HCV positivity, and significant covariates. Results: A majority reported lifetime PO injection (72.2%) and 30.9% self-reported being HCV positive. Lifetime PO injectors were nearly three times more likely to report being HCV positive than non-PO injectors (adjusted incidence rate ratio (AIRR): 2.69, p < 0.05) after controlling for socio-demographic and other drug use variable. Additionally, substituting POs for heroin (AIRR: 2.27, p < 0.05), growing up in a lower social class (AIRR: 1.67, p < 0.05), age (AIRR: 1.12, p < 0.05), age of injection initiation (AIRR: 0.87, p < 0.001), and history of being prescribed stimulants (AIRR: 0.64, p < 0.05) were independently associated with HCV positivity. Conclusions: Findings suggest that PO injection should be given further consideration as a contributing factor to rising HCV infection among young adults in the US.
On War and Political Radicalization

This paper illustrates how a historical shock to political preferences can translate into observable electoral support as the political landscape evolves. During World War II, the Third Reich annexed the French eastern borderlands and their inhabitants were forcibly con-scripted into the Wehrmacht. In the first stage, survey data is used to show how this forced conscription reduced political trust. Municipality-level data and political discourse data are then combined to estimate the impact of conscription on support for radical candidates and on abstention in elections during the 1965-2017 period. Identification exploits the fact that different birth cohorts were affected in each annexed region by using eligible births as an instrument for conscription. In earlier elections in which platforms were more similar, both radical and moderate candidates were penalized in municipalities where more men were conscripted, resulting in higher abstention. In more recent elections, which were more polarized, conscription increased support for radical candidates.
Spatial analysis of nuclear and cytoplasmic DNA diversity in wild sea beet (Beta vulgaris ssp. maritima) populations: do marine currents shape the genetic structure?

Patterns of seed dispersal in the wild sea beet (Beta vulgaris ssp. maritima) are predicted to be influenced by marine currents because populations are widely distributed along the European Atlantic coast. We investigated the potential influence of marine currents on the pattern of spatial genetic structuring in natural populations of sea beet. Populations were located along the French coasts of the Anglo‐Norman gulf that features peculiar marine currents in the Channel. Thirty‐three populations were sampled, among which 23 were continental and 10 were insular populations located in Jersey, Guernsey and Chausey, for a total of 1224 plants genotyped. To validate the coastal topography influence and the possibility of marine current orientated gene flow on the genetic features of sea beet populations, we assessed patterns of genetic structuring of cytoplasmic and nuclear diversity by: (i) searching for an isolation‐by‐distance (IBD) pattern using spatial autocorrelation tools; (ii) using the Monmonier algorithm to identify genetic boundaries in the area studied; and (iii) performing assignment tests that are based on multilocus genotype information to ascertain population membership of individuals. Our results showed a highly contrasted cytoplasmic and nuclear genetic differentiation and highlighted the peculiar situation of island populations. Beyond a classical isolation‐by‐distance due to short‐range dispersal, genetic barriers fitting the orientation of marine currents were clearly identified. This suggests the occurrence of long‐distance seed dispersal events and an asymmetrical gene flow separating the eastern and western part of the Anglo‐Norman gulf.
Virtual Screening and Experimental Verification to Identify Potential Inhibitors of the ErmC Methyltransferase Responsible for Bacterial Resistance against Macrolide Antibiotics

Methyltransferases from the Erm family catalyze S‐adenosyl‐L‐methionine‐dependent modification of a specific adenine residue in bacterial 23S rRNA, thereby conferring resistance to clinically important macrolide, lincosamide, and streptogramin B antibiotics. Thus far, no inhibitors of these enzymes have been identified or designed that would effectively abolish the resistance in vivo. We used the crystal structure of ErmC′ methyltransferase as a target for structure‐based virtual screening of a database composed of 58 679 lead‐like compounds. Among 77 compounds selected for experimental validation (63 predicted to bind to the catalytic pocket and 14 compounds predicted to bind to the putative RNA binding site), we found several novel inhibitors that decrease the minimal inhibitory concentration of a macrolide antibiotic erythromycin toward an Escherichia coli strain that constitutively expresses ErmC′. Eight of them have IC50 values in the micromolar range. Analysis of docking models of the identified inhibitors suggests a novel strategy to develop potent and clinically useful inhibitors.
Superresolution ISAR Imaging Based on Sparse Bayesian Learning

Recently, compressive sensing (CS) has been successfully used in inverse synthetic aperture radar (ISAR) imaging. Since the exact sparse reconstruction, i.e., l0-norm constraint, is NP hard, l1-norm relaxation is widely used at the cost of performance degradation in the sparseness of the solution. The performance of existing CS-based ISAR imaging algorithms is sensitive to the regularized factor, which should be adjusted manually. This makes the existing algorithms inconvenient to be used in practice. It is well known that sparse Bayesian learning (SBL) acts as an effective tool in regression and classification, which is closely related to the CS. Furthermore, all the necessary parameters can be estimated using an efficient evidence maximization procedure in SBL, which retains a preferable property of the l0-norm diversity measure and can give more sparse solution. Motivated by that, a fully automated ISAR imaging algorithm based on SBL is proposed in this paper. Experimental results based on simulated and measured data show that the proposed algorithm keeps a better balance between the computation load and the sparsity of the reconstruction signal than the existing algorithms.
Order-Restricted Inference for Multivariate Binary Data With Application to Toxicology

In many applications, researchers collect multivariate binary response data under two or more naturally ordered experimental conditions. In such situations, one is often interested in using all binary outcomes simultaneously to detect an ordering among the experimental conditions. To make such comparisons, we develop a general methodology for testing for the multivariate stochastic order between K ≥ 2 multivariate binary distributions. Our proposed test uses order-restricted estimators, which, according to our simulation study, are more efficient than the unrestricted estimators in terms of their mean squared error. We compared the power of the proposed test with that of several alternative tests, including procedures that combine individual univariate tests for order, such as union-intersection tests and a Bonferroni-based test. We also compared the proposed test with an unrestricted Hotelling T2-type test. Our simulations suggest that the proposed method competes well with these alternatives. The gain in power is often substantial. The proposed methodology is illustrated by applying it to a two-year rodent cancer bioassay data obtained from the U.S. National Toxicology Program. Supplemental materials are available online.
Cognitive and Functional Predictors and Sequelae of Postoperative Delirium in Elderly Patients Undergoing Elective Joint Arthroplasty

BACKGROUND: Postoperative delirium (POD) is common in the elderly and associated with adverse outcomes. The cognitive and functional sequelae of POD in elective surgical patients are not known. We sought to determine whether (1) lower scores on sensitive neurocognitive tests are an independent risk factor for POD in elderly surgical patients, and (2) POD predicts cognitive and functional decline 3 months postoperatively. METHODS: We conducted a prospective, cohort study on patients ≥65 years old undergoing total hip or knee arthroplasty. Participants underwent preoperative neurocognitive and functional testing. POD was diagnosed using the Confusion Assessment Method. Patients who developed POD and matched controls underwent repeat neurocognitive and functional testing 3 months after surgery. RESULTS: Four hundred eighteen patients met entry criteria, and 42 (10%) developed POD. There were no differences in baseline Mini-Mental State Examination scores, alcohol abuse, depression, and verbal intelligence between groups. Independent predictors of POD included age, history of psychiatric illness, decreased functional status, and decreased verbal memory. For all tests, changes from before to 3 months after surgery were similar between those patients with POD and matched controls. CONCLUSIONS: Subtly reduced preoperative neurocognitive and functional status predict POD. However, in the small group that developed POD, there was no evidence of cognitive and functional decline 3 months after surgery. POD is associated with decreased preoperative cognitive reserve but, in elderly elective surgical patients, may be without adverse cognitive or functional sequelae 3 months postoperatively.