Miracle-dz/UniFAR-FTUs huggingface dataset:
Periodontal Stem Cells for Bone Regeneration in Clinical Use: A Review of Literature

Human periodontal stem cells were proved as a source of mesenchymal stem cells due to the presence of mesenchymal stem cell surface markers. This review of literature was aimed to assess clinical experiments, which have evaluated the efficacy of human periodontal stem cells for bone regeneration. The search strategy was based on the search strategy developed for MEDLINE (OVID) but revised appropriately for each database. We searched MEDLINE and EMBASE via OVID (1990 to October 2017) and no restrictions were placed on the language or date of publication when searching the electronic databases. Later all the references lists of the included studies would have been checked manually to identify any additional studies. None of the studies fulfilled our inclusion criteria and therefore no data analysis was conducted. There is little evidence relevant to this subject. There would appear to be a need for robust clinical trials to assess the efficacy of periodontal stem cells for regeneration.
An Seir Infectious Disease Model with Testing and Conditional Quarantine

We extend the baseline Susceptible-Exposed-Infectious-Recovered (SEIR) infectious disease epidemiology model to understand the role of testing and case-dependent quarantine. Our model nests the SEIR model. During a period of asymptomatic infection, testing can reveal infection that otherwise would only be revealed later when symptoms develop. Along with those displaying symptoms, such individuals are deemed known positive cases. Quarantine policy is case-dependent in that it can depend on whether a case is unknown, known positive, known negative, or recovered. Testing therefore makes possible the identification and quarantine of infected individuals and release of non-infected individuals. We fix a quarantine technology—a parameter determining the differential rate of transmission in quarantine—and compare simple testing and quarantine policies. We start with a baseline quarantine-only policy that replicates the rate at which individuals are entering quarantine in the US in March, 2020. We show that the total deaths that occur under this policy can be achieved under looser quarantine measures and a substantial increase in random testing of asymptomatic individuals. Testing at a higher rate in conjunction with targeted quarantine policies can (i) dampen the economic impact of the coronavirus and (ii) reduce peak symptomatic infections—relevant for hospital capacity constraints. Our model can be plugged into richer quantitative extensions of the SEIR model of the kind currently being used to forecast the effects of public health and economic policies.
Influence of Audit Quality, Pattern of Loans Concentration and Company Size to Banking Loans (Agency Problem of Creditor – Debtor at Manufacture Company in Indonesia)

This study aims to analyze the influence of Audit Quality, Loan Concentration Pattern, and Company Size to Large of Loans. This research uses quantitative method with regression analysis model by stratified random sampling based on subsector strata in manufacturing company that go public in Indonesia Stock Exchange. This study shows that there is a positive and significant correlation between audit qualities to the loans, there is a negative and significant correlation between loan concentration patterns to the loans, there is a positive and significant correlation between company sizes on the loans and ROA, current ratio and age of the company can be a control variable to the loans
ADOPTING DIGITAL MARKETING AND COMPETITIVENESS: A PERSPECTIVE OF ENTERPRISES IN MEXICO

The uncertainty of business and the changes demanded by an increasingly globalized and highly competitive market is making companies readjust or adopt new business strategies in a way that allows them not only to continue in their market but also to survive. For this reason, an increasing number of researchers and scholars in the current literature are considering digital marketing not only as an additional activity but as a strategy that can raise significantly the level of competitiveness of enterprises. Hence, the main goal of this empirical paper is to analyze and discuss the relation between digital marketing and competitiveness of enterprises in Aguascalientes, Mexico. The results obtained show that the adoption of digital marketing has significantly positive effects at the level of competitiveness of enterprises which brings important benefits for the enterprises that use it
Risk and Banks’ Performance: Macrofinametric Evidences From Deposit Money Banks In Nigeria

This study employed macroeconometric tools to investigate the impacts of risk factors on performance of deposit money banks in Nigeria with aggregated time series data from Nigeria Deposit Insurance Commission. It was found among others that bank performance proxied by return on assets is autoregressive, hence reinforces itself, non-performing loans (credit risks) exert negative and significant impact on bank performance within the period of the study, while average liquidity ratio (liquidity risk) insignificantly on bank performance within same period. This study found that bank performance proxied by return on assets respond to shocks of risk factors in both positive and negative direction. Therefore, suggested banks should demand insured collateral from customers on loan facility request in order to protect depositors’ money as well as mitigating against risk on banks’ performance.
Sexual Abuse in Australia and New Zealand

ing Information Sexual Abuse in Australia and New Zealand is abstracted in: Applied Social Sciences Index and Abstracts (ASSIA); and Ulrichs. Subscription information Issues cost AUS $40, and annual subscription is AUS $80 for non-members. Subscription is free for members of ANZATSA. The institutional cost for subscription is AUS $120. Sexual Abuse in Australia and New Zealand: An Interdisciplinary Journal is published twice a year by The Australian and New Zealand Association for the Treatment of Sexual Abusers (ANZATSA). ANZATSA is dedicated to community protection and safety, through the promotion of professional standards, practices and education in sex offender management, treatment, assessment and research. Membership to ANZATSA is open to all professionals with relevant qualifications and experience and in the first instance enquiries can be made via the email address below. Further information about ANZATSA is available at the website shown. Addresses for correspondence are as follows. Australia: PO Box 1330, Haymarket 1240, NSW Australia. New Zealand: PO Box 8097, Symonds Street, Auckland New Zealand Email address: anzatsa@anzatsa.org Website: www.anzatsa.org Sexual Abuse in Australia and New Zealand Volume 4, Number 2, November 2012
Does globalization impact citizens’ trust?

This paper studies the relation between a political decision such as the globalization of a country and individuals' trust. Based on some results obtained in social trust literature, we modeled a theoretical individual trust function and test its conclusions with an empirical model. Our results come to say that globalization has a impact (normally positive) on individual trust. The different regressions show that at the individual level, trust depends on individual characteristics and on both a geographical aspect, and cultural or historical background of the society in which it lives. Analyzing the time variations, we observed that globalization not only impacts individuals' trust, it also changes the individual's characteristics of the individuals' trust over time.
Synthetic antibody binding to a pre-organized RNA domain of hepatitis C virus internal ribosome entry site inhibits translation

Structured RNA elements within the internal ribosome entry site (IRES) of hepatitis C virus (HCV) genome hijack host cell machinery for translation initiation through a cap-independent mechanism. Here, using a phage display selection, we obtained two antibody fragments (Fabs), HCV2 and HCV3, against HCV IRES that bind the RNA with dissociation constants of 32 ± 7 nM and 37 ± 8 nM respectively, specifically recognizing the so-called junction IIIabc (JIIIabc). We used these Fabs as crystallization chaperones and determined the high-resolution crystal structures of JIIIabc – HCV2 and – HCV3 complexes at 1.81-Å and 2.75-Å resolution respectively, revealing an anti-parallel four-way junction with the so-called IIIa and IIIc sub-domains brought together through tertiary interactions. The RNA conformation observed in the structures supports the structural model for this region derived from cryo-EM data for the HCV IRES – 40S ribosome complex, suggesting that the tertiary fold of the RNA pre-organizes the domain for interactions with the 40S ribosome. Strikingly, both Fabs and the ribosomal protein eS27 not only interact with a common subset of nucleotides within the JIIIabc but also use physio-chemically similar sets of protein residues to do so, suggesting that the RNA surface is well-suited for interactions with proteins, perhaps analogous to the ‘hot spot’ concept elaborated for protein-protein interactions. Using a rabbit reticulocyte lysate-based translation assay with a bicistronic reporter construct, we further demonstrated that Fabs HCV2 and HCV3 specifically inhibit the HCV IRES-directed translation, implicating disruption of the
The Geography of the Great Recession/Spatial Business Cycles∗

This paper documents, using county level data, some geographical features of the US business cycle over the past 30 years, with particular focus on the Great Recession. It shows that county level unemployment rates are spatially dispersed and spatially correlated, and documents how these characteristics evolve during recessions. It then shows that some of these features of county data can be generated by a model which includes simple channels of transmission of economic conditions from a county to its neighbors. The model suggests that these local channels are quantitatively important for the amplification/muting of aggregate shocks. JEL Classification: E32, R12
ECONOMIC INCENTIVES AND RESISTANCE MANAGEMENT

Since the commercial introduction of transgenic, herbicide-resistant cultivars, the diversity of weed control tactics used in cotton, soybeans, and corn has declined considerably. Increased reliance on a narrow range of tactics and herbicide mechanisms of action has contributed to a predictable rise in the incidence of weed resistance to herbicides. Many growers have adopted many best management practices (BMPs) to delay resistance. However, data suggest that most growers are not adopting those BMPs most crucial for successful resistance management, particularly use of multiple herbicides expressing diverse mechanisms of action. This study provides an overview of sources of survey data concerning weed resistance management and summarizes the main findings regarding grower adoption of BMPs. This summary provides a baseline of information characterizing grower perceptions about herbicide resistance and adoption of BMPs as of the mid-2000s. Next, it introduces a dynamic weed-management model to illustrate the role of economic incentives for herbicide resistance management. It concludes by examining economic factors that can constrain BMP adoption and discusses policy options to align private incentives for resistance management with the social objective of preserving the effectiveness of weed control strategies.
Asymptotic behavior of scalar convection-diffusion equations

In these lecture notes, we address the problem of large-time asymptotic behaviour of the solutions to scalar convection-diffusion equations set in ${R}^N$. The large-time asymptotic behaviour of the solutions to many convection-diffusion equations is strongly linked with the behavior of the initial data at infinity. In fact, when the initial datum is integrable and of mass $M$, the solutions to the equations under consideration oftentimes behave like the associated self-similar profile of mass $M$, thus emphasising the role of scaling variables in these scenarios. However, these equations can also manifest other asymptotic behaviors, including weakly non-linear, linear or strongly non-linear behavior depending on the form of the convective term. We give an exhaustive presentation of several results and techniques, where we clearly distinguish the role of the spatial dimension and the form of the nonlinear convective term. Translation (English) by Borjan Geshovski
An empirical investigation of the challenges of real-world reinforcement learning

Reinforcement learning (RL) has proven its worth in a series of artificial domains, and is beginning to show some successes in real-world scenarios. However, much of the research advances in RL are hard to leverage in real-world systems due to a series of assumptions that are rarely satisfied in practice. In this work, we identify and formalize a series of independent challenges that embody the difficulties that must be addressed for RL to be commonly deployed in real-world systems. For each challenge, we define it formally in the context of a Markov Decision Process, analyze the effects of the challenge on state-of-the-art learning algorithms, and present some existing attempts at tackling it. We believe that an approach that addresses our set of proposed challenges would be readily deployable in a large number of real world problems. Our proposed challenges are implemented in a suite of continuous control environments called realworldrl-suite which we propose an as an open-source benchmark.
A lower bound for the ELBO of the Bernoulli Variational Autoencoder

We consider a variational autoencoder (VAE) for binary data. Our main innovations are an interpretable lower bound for its training objective, a modified initialization and architecture of such a VAE that leads to faster training, and a decision support for finding the appropriate dimension of the latent space via using a PCA. Numerical examples illustrate our theoretical result and the performance of the new architecture.
Variation in Performance of Commonly Used Statistical Methods for Estimating Effectiveness of State-Level Opioid Policies on Opioid-Related Mortality

Over the last two decades, there has been a surge of opioid-related overdose deaths resulting in a myriad of state policy responses. Researchers have evaluated the effectiveness of such policies using a wide-range of statistical models, each of which requires multiple design choices that can influence the accuracy and precision of the estimated policy effects. This simulation study used real-world data to compare model performance across a range of important statistical constructs to better understand which methods are appropriate for measuring the impacts of state-level opioid policies on opioid-related mortality. Our findings show that many commonly-used methods have very low statistical power to detect a significant policy effect (< 10%) when the policy effect size is small yet impactful (e.g., 5% reduction in opioid mortality). Many methods yielded high rates of Type I error, raising concerns of spurious conclusions about policy effectiveness. Finally, model performance was reduced when policy effectiveness had incremental, rather than instantaneous, onset. These findings highlight the limitations of existing statistical methods under scenarios that are likely to affect real-world policy studies. Given the necessity of identifying and implementing effective opioid-related policies, researchers and policymakers should be mindful of evaluation study statistical design.
“On the Circulatory Changes Associated with Exercise.”

a.mongst them the long non-motile Gram-positive bacillus resembling B. perfringens. A few sub-terminal spores were present. There was also present a number of short Gram-negative spore-bearing organisms. with a central spore in the fresh film. The pus was cultured in various media. It rapidly liquefied gelatine. Cultures ma.de on slightly alkaline bullock's heart medium, prepared according to the directions of Miss Muriel Robertson, produced in two or three days a considerable growth of B. perfringens . There was a sour smell produced in . the medium, but no odour of putrefaction and nO,ne of the blackening which is almost characteristic of the presence of the bacillus of malignant redema. The Gram-negative spore-bearer was apparently completely lost in this medium. The points of interest in this case, apart from the fact that it occurred in a camp in this country, appear to be that . the fatal issue was very rapid and that it was not till after death, twenty-four. hours after the wound was inflicted, that any crepitation or other sign of gas forming organism was present in the limb. After death, however, the extension of crepitation up the limb was very rapid. There were no signs of gas in the iiver or other organs, which I believe is unusual, and is possibly accounted for by the fact that the gas was carried almost direct to the heart, killing the patient before there was time for it to develop elsewhere. I believe several cases have been described as o'ccurring in France. My thanks are due to Lieutenant Young, R.A.M.C. , for clinical notes on this case. ,.
A Survey on Trajectory Data Management, Analytics, and Learning

Recent advances in sensor and mobile devices have enabled an unprecedented increase in the availability and collection of urban trajectory data, thus increasing the demand for more efficient ways to manage and analyze the data being produced. In this survey, we comprehensively review recent research trends in trajectory data management, ranging from trajectory pre-processing, storage, common trajectory analytic tools, such as querying spatial-only and spatial-textual trajectory data, and trajectory clustering. We also explore four closely related analytical tasks commonly used with trajectory data in interactive or real-time processing. Deep trajectory learning is also reviewed for the first time. Finally, we outline the essential qualities that a trajectory data management system should possess to maximize flexibility.
Quantum state discrimination on reconfigurable noise-robust quantum networks

A fundamental problem in Quantum Information Processing is the discrimination amongst a set of quantum states of a system. In this paper, we address this problem on an open quantum system described by a graph, whose evolution is defined by a Quantum Stochastic Walk. In particular, the structure of the graph mimics those of neural networks, with the quantum states to discriminate encoded on input nodes and with the discrimination obtained on the output nodes. We optimize the parameters of the network to obtain the highest probability of correct discrimination. Numerical simulations show that after a transient time the probability of correct decision approaches the theoretical optimal quantum limit. These results are confirmed analytically for small graphs. Finally, we analyze the robustness and reconfigurability of the network for different set of quantum states, and show that this architecture can pave the way to experimental realizations of our protocol as well as novel quantum generalizations of deep learning.
Measuring total density correlations in a Fermi-Hubbard gas via bilayer microscopy

We report on the single atom and single site-resolved detection of the total density in a cold atom realization of the 2D Fermi-Hubbard model. Fluorescence imaging of doublons is achieved by splitting each lattice site into a double well, thereby separating atom pairs. Full density readout yields a direct measurement of the equation of state, including direct thermometry via the fluctuationdissipation theorem. Site-resolved density correlations reveal the Pauli hole at low filling, and strong doublon-hole correlations near half filling. These are shown to account for the difference between local and non-local density fluctuations in the Mott insulator. Our technique enables the study of atom-resolved charge transport in the Fermi-Hubbard model, the site-resolved observation of molecules, and the creation of bilayer Fermi-Hubbard systems.
Decisions from experience: Competitive search and choice in kind and wicked environments

Information search is key to making decision from experience: exploration permits people to learn about the statistical properties of choice options and thus to become aware of rare but potentially momentous decision consequences. This registered report investigates whether and how people differ when making decisions from experience in isolation versus under competitive pressure, which may have important implications for choice performance in different types of choice environments: in “kind” environments without any rare and extreme events, frugal search is sufficient to identify advantageous options. Conversely, in “wicked” environments with skewed outcome distributions, rare but important events will tend to be missed in frugal search. One theoretical view is that competitive pressure encourages efficiency and may thereby boost adaptive search in different environments. An alternative and more pessimistic view is that competitive pressure triggers agency-related concerns, leading to minimal search irrespective of the choice environment, and hence to inferior choice performance. Using a sampling game, the present study (N = 277) found that solitary search was not adaptive to different choice environments (M = 14 samples), leading to a high choice performance in a kind and in a moderately wicked environment, but somewhat lower performance in an extremely wicked environment. Competitive pressure substantially reduced search irrespective of the choice environment (M = 4 samples), thus negatively affecting overall choice performance. Yet, from the perspective of a cost-benefit framework, frugal search may be efficient under competitive pressure. In sum, this report extends research on decisions from experience by adopting an ecological perspective (i.e., systematically varying different choice environments) and by introducing a cost-benefit framework to evaluate solitary and competitive search — with the latter constituting a challenging problem for people in an increasingly connected world.
High-temperature X-ray scattering studies of atomic layer deposited IrO2

IrO2 is an important material in numerous applications ranging from catalysis to the microelectronics industry, but despite this its behaviour upon annealing under different conditions has not yet been thoroughly studied. This work provides a detailed investigation of the annealing of IrO2 thin films using in situ high-temperature X-ray diffraction and X-ray reflectivity (HTXRR) measurements from room temperature up to 1000°C in oxygen, nitro­gen, forming gas and vacuum. Complementary ex situ scanning electron microscopy and atomic force microscopy measurements were conducted. The combined data show the dependencies of crystalline properties and surface morphology on the annealing temperature and atmosphere. The reduction of IrO2 to Ir takes place at a temperature as low as 150°C in forming gas, but in oxygen IrO2 is stable up to 800°C and evaporates as a volatile oxide at higher temperatures. The IrO2 crystallite size remains constant in oxygen up to 400°C and increases above that, while in the more reducing atmospheres the Ir crystallites grow continuously above the phase-change temperature. The role of HTXRR in the analysis is shown to be important since its high sensitivity allows one to observe changes taking place in the film at temperatures much below the phase change.