Miracle-dz/UniFAR-FTUs huggingface dataset:
The Safety of Intravenous Fluorescein Administration

Intravenous fluorescein is frequently used to assess tissue perfusion and predict flap viability, although its safety has recently been questioned due to cardiovascular side effects. Vital signs of 50 patients who received fluorescein were monitored by anesthesiologists to assess flap viability. Blood pressure readings were recorded at 5-minute intervals for at least 1 hour before and after fluorescein administration. Repeated measure analysis of variance was performed to determine any significant sustained (≥ 30 minutes) or transient (≤ 15 minutes) differences in pressure changes after fluorescein administration. No significant (p ≤ 0.1) differences in pressure were noted for any identifiable group of patients. Minor reactions included transient nausea with no vomiting (5), sustained blood pressure increases of greater than 10% preadministration values (9), transient pressure drops of greater than 10% (10), and sustained pressure drops of greater than 10% (4). These 4 patients responded to increased fluid therapy without need for pressor agents.
Genome Sequence of the Ethanol-Producing Zymomonas mobilis subsp. pomaceae Lectotype Strain ATCC 29192

ABSTRACT Zymomonas mobilis is an alphaproteobacterium studied for bioethanol production. Different strains of this organism have been hitherto sequenced; they all belong to the Z. mobilis subsp. mobilis taxon. Here we report the finished and annotated genome sequence of strain ATCC 29192, a cider-spoiling agent isolated in the United Kingdom. ATCC 29192 is the lectotype of the second-best-characterized subspecies of Z. mobilis, Z. mobilis subsp. pomaceae. The nucleotide sequence of ATCC 29192 deviates from that of Z. mobilis subsp. mobilis representatives, which justifies its distinct taxonomic positioning and proves particularly useful for comparative and functional genomic analyses.
Profit-Driven Drug Testing

ABSTRACT Random drug testing of people being treated for chronic pain has become more common. Physicians may drug test patients on opioid therapy as a result of concerns over prosecution, drug misuse, addiction, and overdose. However, profit motive has remained unexplored. This article suggests profits also drive physician drug-testing behavior and evidence is offered, including an exploration of Medicare reimbursement incentives and kickbacks for drug testing.
Panda Games: Corporate Disclosure in the Eclipse of Search

We show that firms strategically alter their disclosures when investors’ access to information via search engines is interrupted. We conduct a textual analysis and exploit an exogenous event—Google’s 2010 surprising withdrawal from mainland China, which significantly hampered domestic investors’ ability to search for foreign information but did not affect their cost to access domestic information. Following Google’s exit, Chinese firms’ announcements on foreign transactions become more bullish relative to domestic transactions. Optimism in disclosure is especially rosy if the press releases are conveying negative news or are issued by poorly governed firms. This effect is mitigated in the presence of foreign investors or analysts affiliated with foreign brokers who are not subject to foreign information censorship by the government. The increase in search cost also appears to leave domestic news media and financial analysts more vulnerable to the influence of corporate disclosure. These optimistic announcements allow insiders to harvest higher returns from selling their shares and are associated with a higher likelihood of corporate misconduct. This paper was accepted by Gustavo Manso, finance.
EXISTENCE THEOREMS FOR SOME ELLIPTIC SYSTEMS

We investigate the existence of solutions of systems of semilinear elliptic equations. The proof makes use of the Leray–Schauder degree theory. We also study the corresponding linear problem. 1 – Introduction In this paper we consider the following elliptic system (1.1) {−∆uj = fj(x, u1, ., um), j = 1, . ,m in Ω, uj = ψj , j = 1, . ,m on ∂Ω , where Ω is a bounded domain in IR (n ≥ 1) of class C2,α for some α ∈ (0, 1), m ≥ 1 is an integer and fj : Ω × IR → IR, j = 1, . ,m, are locally Hölder continuous functions with exponent α. When ψj ∈ C2,α(∂Ω), j = 1, . ,m, we seek a solution u = (u1, ., um) ∈ (C2,α(Ω))m. Let 0 < μ1 < μ2 ≤ . ≤ μk ≤ . be the eigenvalues of the operator −∆ on Ω with Dirichlet boundary conditions. We shall note φ1 the positive eigenfunction corresponding to μ1. Theorem 1. Suppose that there are constants ajk ≥ 0 and cj ≥ 0, j, k = 1, . ,m such that (1.2) ∣ ∣ ∣fj(x, u1, ., um) ∣
Place-based leadership: A new perspective on urban regeneration

The role of inspirational leadership in bringing about successful urban regeneration has been neglected. This paper attempts to provide a corrective by exploring the role of place-based leadership in modern urban governance. It outlines arguments that are set out at greater length in the author’s new book, ‘Leading the inclusive city’ (2015). The forces that now shape the power of place in the modern world are discussed. These forces limit the scope for place-based leadership but they do not disable it. A new framework for understanding civic leadership — new civic leadership (NCL) — is presented. In any given locality there are various realms of place-based leadership reflecting different sources of legitimacy. The concept of engaged scholarship is introduced, and the idea of an Innovation Story is presented as a creative way of unearthing new knowledge about civic leadership. Two inspiring examples of effective place-based leadership are then outlined: Melbourne, Australia and Freiburg, Germany. Emerging themes for regeneration theory and practice are discussed and pointers for further research are suggested.
Risk-reduction and treatment of chemotherapy-induced peripheral neuropathy

ABSTRACT Introduction: Chemotherapy-induced peripheral neuropathy (CIPN), a common adverse effect of several chemotherapeutic agents, has a significant impact on quality of life and may even compromise treatment efficacy, requiring chemotherapy dose reduction or discontinuation. CIPN is predominantly related with sensory rather than motor symptoms and the most common related cytotoxic agents are platinum compounds, taxanes and vinca alkaloids. CIPN symptoms may resolve after treatment cessation, but they can also be permanent and continue for years. Areas covered: We present an overview of CIPN pathophysiology, clinical assessment, prevention and treatment identified through a Pubmed search. Expert commentary: No substantial progress has been made in the last few years within the field of prevention and/or treatment of CIPN, in spite of remarkable efforts. Continuous research could expand our knowledge about chemotherapeutic-specific neuropathic pathways and eventually lead to the conception of innovative and targeted agents for the prevention and/or treatment of this debilitating chemotherapy adverse effect.
Identifying semantically meaningful sub-communities within Twitter blogosphere

This paper addresses the problem of semantically meaningful group detection within a sub-community of twitter micro-bloggers by utilizing a topic modeling, multi-objective clustering approach. The proposed group detection method is anchored on the Latent Dirichlet Allocation (LDA) topic modeling technique, aiming at identifying clusters of twitter users that are optimal in terms of both spatial and topical compactness. Specifically, the group detection problem is formulated as a multi-objective optimization problem taking into consideration two complementary cluster formation directives. The first objective, related to spatial compactness, is achieved by minimizing the overall deviation from the corresponding cluster centers. The second, related to topical compactness, is achieved by minimizing the portion of probability mass assigned to low probability topics for the corresponding cluster centroids. In our approach, optimization is performed by employing a multi-objective genetic algorithm, which results in a variety of cluster structures that are significantly more interpretable than cluster assignments obtained with traditional single-objective clustering algorithms.
Treatment fidelity instrument to measure a brief opportunistic intervention for prenatal substance use.

OBJECTIVE To develop and psychometrically evaluate an instrument designed to measure the treatment fidelity associated with implementation of the I Am Concerned (IAC) brief opportunistic intervention by frontline, prenatal, primary care staff. DESIGN A methodologic approach framed development of the IAC Treatment Fidelity Instrument in a six-phase protocol. SETTING A simulated prenatal clinic with standardized patients portraying substance-using pregnant women. PARTICIPANTS Prenatal, primary care, frontline staff (N = 6), experienced in IAC implementation. METHODS Following development of the IAC treatment fidelity instrument, independent raters used the instrument to evaluate audio recordings (N = 49) of frontline staff implementing the IAC brief opportunistic intervention with standardized patients representing substance-using pregnant women. RESULTS Psychometric analysis provided evidence of content validity. Intraclass correlation coefficients calculated for inter-rater reliability were satisfactory for subscales (0.64) and (0.62) and ranged from -0.07 to 0.81 for individual items. Internal consistency alpha coefficients were satisfactory for the total scale (0.72) and lower than acceptable for adherence (0.54) and competence (0.56) subscales. Overall high rater percentage agreement and negatively skewed ratings distribution indicated reliability results were paradoxically low due to the base rate problem. CONCLUSION Results support revision and ongoing testing of the IAC treatment fidelity instrument. The impact on reliability statistics exerted by this study's skewed data distribution has implications for nursing research as low variance can be anticipated when measuring care provided to homogenous patient populations. It is important to recognize the resulting influence on inter-rater agreement to avoid making inaccurate interpretations about the reliability of an instrument's measurements.
The application of high‐performance liquid chromatography humic acid columns in determination of Koc of polycyclic aromatic compounds

An improvement of a method for determination of the distribution coefficient for polycyclic aromatic compounds (PAC) between organic carbon and water (Koc) by high‐performance liquid chromatography (HPLC) is presented in this paper. By use of silica‐based HPLC columns with chemically immobilized humic acid (Aldrich, Zigma‐Aldrich, Taufkirchen, Germany), the retention of PAC to humic acid can be measured, and the results can, when they are compared to those from a blank column, be used to a direct determination of Koc. These values agree quite well with literature Koc values for two‐ to four‐ringed PAC. Our work has shown that it is possible to use this method to investigate how environmental parameters like electrolyte concentration, pH, and temperature affect the sorption of PAC to humic acid. Thermodynamic parameters can be estimated from variable temperature experiments. The advantage of the method is its cost and manpower effectiveness.
Forecasting Canadian mortgage rates

ABSTRACT Mortgage rates are one of the important drivers of the housing market. While there is a literature looking at the pass-through effect from Central Bank rates to mortgage rates, there is less known about how useful Central Bank rates are for forecasting mortgage rates. This article uses a selection of models (ARIMA, ARIMAX, BATS, state space error, trend seasonal (ETS), Holt Winter, random walk, simple exponential smoothing (SES), OLS and VAR) to forecast Canadian 5-year conventional mortgage rates. Based on RMSE, regression-based approaches like ARIMAX or OLS that use Central Bank rates to forecast mortgage rates are preferred when it comes to forecasting Canadian mortgage rates 6 or 12 months into the future, respectively.
Detection of Borrelia burgdorferi in urine of Peromyscus leucopus by inhibition enzyme-linked immunosorbent assay

An inhibition enzyme-linked immunosorbent assay was developed to detect Borrelia burgdorferi, the etiologic agent of Lyme borreliosis, in urine from white-footed mice (Peromyscus leucopus). Of the 87 urine specimens tested from 87 mice collected in widely separated tick-infested sites in Connecticut, 57 (65.5%) contained detectable concentrations of spirochetal antigens. Forty-seven (62.7%) of 75 serum samples analyzed contained antibodies to B. burgdorferi. In culture work with tissues from bladders, kidneys, spleens, or ears, 50 of 87 mice (57.5%) were infected with B. burgdorferi. Thirty-eight (76%) of 50 infected mice had antigens of this spirochete in urine, while 36 (72%) individuals had infected bladders. Of those with infected bladders, 24 (66.7%) mice excreted subunits or whole cells of B. burgdorferi into urine. Successful culturing of B. burgdorferi from mouse tissues, the presence of serum antibodies to this bacterium, and detection of antigens to this spirochete in urine provide further evidence that multiple assays can be performed to verify the presence of B. burgdorferi in P. leucopus.
Integrating Extractive and Abstractive Models for Long Text Summarization

With the explosive growth of information on the Internet, it becomes more and more important to improve the efficiency of information acquisition. Automatic text summarization provides a good means for quick acquisition of information through compression and refinement. While existing methods for automatic text summarization achieve elegant performance on short sequences, however, they are facing the challenges of low efficiency and accuracy when dealing with long text. In this paper, we present a twophase approach towards long text summarization, namely, EA-LTS. In the extraction phase, it conceives a hybrid sentence similarity measure by combining sentence vector and Levenshtein distance, and integrates it into graph model to extract key sentences. In the abstraction phase, it constructs a recurrent neural network based encoder-decoder, and devises pointer and attention mechanisms to generate summaries. We test our model on a real-life long text corpora, collected from sina.com, experimental results verify the accuracy and validity of the proposed method, which is demonstrated to be superior to state-of-the-art methods.
EKF Localization and Mapping by Using Consistent Sonar Feature with Given Minimum Landmarks

The SLAM or localization needs successful data association of the detected feature with landmarks. Well described features of the environment are essential for good data association. In this paper, the localization of the robot is executed by the extended Kalman filter (EKF) with given minimum landmarks of the environment. Consistent features for localization are extracted by using only sparse sonar data. Features are extracted by using a sonar data clustering from a footprint-association (FPA) method and a feature fitting from a least squares (LS) method to overcome challenges associated with sonar sensors, such as a wide beam aperture and a specular reflection effect. The extracted features are, also, evaluated as a post-processing through the probabilistic association which associates the extracted feature with the weighted average probability of the grids that are located within the area of position uncertainty of the feature. The proposed methods have been tested in a real home environment with a mobile robot
Capacitor connected grids for wireless power transfer

Metamaterials whose individual components are coupled by magnetic induction have been considered as power transfer media previously. Here we explore a new structure to overcome their major limitations of limited coupling strength and attenuation - the Capacitor Coupled Grid (CCG) where electric coupling mediated by using capacitors. This paper reports an investigation of CCG power transfer system with resonant transmitter and receiver terminals. The optimal power transfer efficiency conditions and the optimal terminal design is discussed in this study.
Quantification of inspiratory‐induced vasoconstrictive episodes: a comparison of laser Doppler fluxmetry and photoplethysmography

Laser Doppler fluxmetry (LDF) or photoplethysmography (PPG) are frequently used as non‐invasive tools to assess skin blood flow. They are both thought to be suitable and interchangeable methods for the detection of sympathetically activated vasoconstrictive episodes that can be provoked by a voluntary deep inspiration (DI), the so‐called inspiratory gasp response (IGR). However, a rigorous comparison of the two methods has not been reported in the literature. The aim of this study was to compare the detection of IGR with LDF and PPG. We investigated 14 healthy volunteers (five female, nine male, 25·4 ± 2·7 years). A PPG probe was applied to the tip of the thumb of the dominant hand, a LDF sensor to the tip of the adjacent index finger. After adaptation and baseline measurements the subjects were asked to perform a DI with time intervals of 90, 60, 30 and 15 s. We found that both methods are useful to detect individual IGR. Overall correlation of IGR amplitude detected with LDF and PPG was significant (r = 0·433). Surprisingly, there was a continuous increase of the correlation coefficient from the first (r = 0·105) or second (r = −0·184) IGR to the fifth (r = 0·727) IGR. This implies that experimental data obtained with PPG and LDF are not equivalent and that one has to be cautious regarding the comparison and interpretation of results obtained with these two different methods.
MOS saturation model based on channel resistance

Actual MOS transistors models only use empirical models for the variation of the drain current in saturation. This is due to the bidimensional character of the MOS transistor channel. Gradual approximation can no longer be used for the whole transistor analysis due to the channel length modulation. But the gradual approximation still stands for the effective channel length of the transistor. And this gives a good hint to where an analytical model for saturation could have its roots. This paper proposes to present one such analytical model based on experimental data and on a determined constant channel resistance ratio.
Deep image representations using caption generators

Deep learning exploits large volumes of labeled data to learn powerful models. When the target dataset is small, it is a common practice to perform transfer learning using pre-trained models to learn new task specific representations. However, pre-trained CNNs for image recognition are provided with limited information about the image during training, which is label alone. Tasks such as scene retrieval suffer from features learned from this weak supervision and require stronger supervision to better understand the contents of the image. In this paper, we exploit the features learned from caption generating models to learn novel task specific image representations. In particular, we consider the state-of-the art captioning system Show and Tell~\cite{SnT-pami-2016} and the dense region description model DenseCap~\cite{densecap-cvpr-2016}. We demonstrate that, owing to richer supervision provided during the process of training, the features learned by the captioning system perform better than those of CNNs. Further, we train a siamese network with a modified pair-wise loss to fuse the features learned by~\cite{SnT-pami-2016} and~\cite{densecap-cvpr-2016} and learn image representations suitable for retrieval. Experiments show that the proposed fusion exploits the complementary nature of the individual features and yields state-of-the art retrieval results on benchmark datasets.
Inequalities in Household Catastrophic Health Expenditure and Impoverishment Associated With Noncommunicable Diseases in Chi Linh, Hai Duong, Vietnam

A costly modern-day double burden, the expenses of noncommunicable diseases (NCDs) are becoming a devastating epidemic. The World Health Organization estimates $7 trillion in economic losses from NCDs in 2011-2025. Although regarded as affluent diseases, the burden of NCDs is shifting into poorer groups. In this study, we assessed the socioeconomic inequalities in catastrophic health expenditure and impoverishment associated with NCDs in Northern Vietnam. We also identified associated factors for catastrophic health expenditure and impoverishment. Households self-reporting NCD diagnoses had the highest association with both catastrophic health expenditure and impoverishment, followed by those in urban areas. Such households were likely poorer according to our calculations estimating socioeconomic inequalities. Households with at least 1 member older than 60 years were also more likely to suffer catastrophic health expenditures. These findings suggest that targeted policy to prevent or subsidize care for NCDs could prevent catastrophic health expenditure and impoverishment among those already most disadvantaged.
Enabling automatic composition and verification of service function chain

NFV together with SDN promises to provide more flexible and efficient service provision methods by decoupling the network functions (NFs) from the physical network topology and devices, but requires the real-time and automatic composition and verification for service function chain (SFC). However, most of SFCs today are still typically built through manual configuration processes, which are slow and error prone. In this paper, we present a novel SFC composition framework, called Automatic Composition Toolkit (ACT). It aims to automatically detect the dependencies and conflicts between NFs, so as to compose and verify SFCs before they are enforced on the physical infrastructure.
Cyclin E morpholino delays embryogenesis in Xenopus

Cyclin E is a cell cycle regulatory protein that partners with Cyclin-dependent kinase 2 (Cdk2) to phosphorylate substrates necessary for the initiation of DNA replication and histone biosynthesis (Ewen, 2000). Loss-of-function mutations in Cyclin E in Drosophila and C. elegans result in underproliferation during embryogenesis. In Drosophila, DmcycE mutant embryos retain maternal cyclin E and progress through the first 16 mitoses normally but then arrest in the S phase of cell cycle 17 (Knoblich et al., 1994). In C. elegans, loss-of-function mutations in the cyclin E homolog (cye-1) lead to underproliferation and defects in fertility and gut cell endoreduplication (Fay and Han, 2000). RNAi knockdown of cye-1 abolishes both maternal and zygotic mRNA and results in arrest before visible signs of morphogenesis (Fay and Han, 2000). There are no published reports of loss-of-function mutations for cyclin E in vertebrate development. In Xenopus laevis, the inhibition of maternal cyclin E/Cdk2 complexes by injection of a Cdk inhibitor results in lengthening of the early embryonic cell cycle and delayed development prior to the midblastula transition (MBT) (Hartley et al., 1997). The MBT marks the onset of zygotic transcription and occurs following the 12 cell division, about 6 h postfertilization (hpf). The current study aimed to use morpholinos to knock down both maternal and zygotic cyclin E in a vertebrate embryo. To date, three forms of cyclin E have been cloned in Xenopus (cyclin E1A, E1B, and E2) (Chevalier et al., 1996; Rempel et al., 1995). These mRNAs have nearly identical open reading frames but differ in the 59 and 39 untranslated regions. Maternal cyclin E is synthesized from stored maternal mRNA and accumulates following fertilization, whereas zygotic cyclin E synthesis is thought to begin at the MBT. It is not clear which of the three cloned Xenopus cyclin E genes represent the maternal and zygotic forms; therefore, we designed a morpholino to knockdown all three (see footnote in Table 1, CycEMO). This morpholino spans the translation start site for all three isoforms.