Miracle-dz/UniFAR-FTUs huggingface dataset:
The Role of Bank Advisors in Mergers and Acquisitions

This paper looks at the role of commercial banks and investment banks as financial advisors. In their role as lenders and advisors, banks can be viewed as serving a certification function. However, banks acting as both lenders and advisors face a potential conflict of interest that may mitigate or offset any certification effect. Overall, we find evidence of a net certification effect for target firms but conflicts of interest for acquirers. In particular, target firms earn higher abnormal returns when the target's own bank is hired as merger advisor, consistent with the bank's role as certifier of the (more informationally opaque) target's value to the acquirer. In contrast, we find no net certification role for acquirers. There are at least two possible reasons for this. First, certification of value may be less important for acquirers because it is the target firm that must be priced in a merger. Second, acquirers may utilize commercial bank advisors in order to obtain access to bank loans to finance activities in the postmerger period. Thus, an acquirer may choose its own bank (with whom it has had a prior lending relationship) as an advisor in a merger. However, this choice weakens the certification effect and creates a potential conflict of interest because the advisor's merger advice may be distorted by considerations related to the bank's past and future lending activity.
Neutrophil Gelatinase–Associated Lipocalin and Contrast-Induced Acute Kidney Injury

Background—Neutrophil gelatinase–associated lipocalin (NGAL) is an early marker of acute kidney injury (AKI). Methods and Results—Urine NGAL and serum NGAL (sNGAL) were assessed at 2, 6, 24, and 48 hours after contrast media (CM) exposure in 458 high-risk patients (development set). Optimal thresholds in predicting contrast-induced AKI (serum creatinine [sCr] increase ≥0.3 mg/dL at 48 hours after CM administration) were identified. Major adverse events (MAE; death, dialysis, nonfatal myocardial infarction, sustained kidney injury, and myocardial revascularization) at 1 year were assessed. In the development set, optimal thresholds for contrast-induced AKI occurred at 6 hours for both urine NGAL (≥20 ng/mL; 97% negative predictive value and 27% positive predictive value) and sNGAL (≥179 ng/mL; 93% negative predictive value and 20% positive predictive value). Furthermore, sNGAL ≥179 ng/mL at 6 hours was an independent predictor of 1-year MAE. 1-year MAE occurred in 27/198 patients (13.5%) with sNGAL <179 ng/mL and sCr <0.3 mg/dL, in 57/193 (29.5%) patients with only sNGAL ≥179 ng/mL, and in 37/67 (55%) patients with sCr ≥0.3 mg/dL. In additional 253 patients (validation set), no patient with urine NGAL <20 ng/mL or sNGAL <179 ng/mL at 6 hours developed contrast-induced AKI. Furthermore, 6/68 (9%) patients with sNGAL <179 ng/mL and sCr increase <0.3 mg/dL had 1-year MAE versus 17/57 (30%) patients with sNGAL ≥179 ng/mL and sCr increase <0.3 mg/dL and 8/16 (50%) patients with sCr increase ≥0.3 mg/dL. Conclusions—Urine NGAL <20 ng/mL and sNGAL <179 ng/mL at 6 hours are reliable markers for ruling out contrast-induced AKI. sNGAL ≥179 ng/mL at 6 hours predicts 1-year MAE. Clinical Trial Registration—URL: http://www.clinicaltrials. gov. Unique identifier: NCT01098032.
Anti-Hyperglycemic Activity of Camel Milk in Rat Models of Diabetes / Insulin Resistance

The anti-diabetic activity of camel milk in type 1 diabetics is attributed to the significant amounts of insulin / insulin like activity present in it. However, evidence for the anti-diabetic activity of camel milk is scanty and equivocal. This study evaluated the anti-hyperglycemic effect of camel milk using drug (Streptozotocin) and diet (high sucrose) induced rat models for diabetes / insulin resistance and also assessed the heat stability / susceptibility of the effect. Diabetes / insulin resistance were induced in male, weanling WNIN rats using STZ or high sucrose diet. Camel / cow milk (raw or pasteurized or boiled) were administered to rats in the form of freeze-dried powder mixed with diet, at a dose of one gram / rat / day, for two months. Oral glucose tolerance, plasma insulin response and plasma lipid profile were determined after 30 and 60 days of feeding. At the dosage level tested, Camel milk or cow milk (raw, pasteurized or boiled) had no anti-hyperglycemic effect in the streptozotocin induced diabetes in WNIN rats. However in high sucrose diet induced rat model of insulin resistance, they had comparable anti-hyperglycemic effect and the effect was heat stable in both the milks. In conclusion, the anti-hyperglycemic effect of camel milk is not different from that of cow milk in both the models of hyperglycemia (i.e., drug or diet induced) and the effect in diet induced model is heat stable.
IL-23 Induces Atopic Dermatitis-Like Inflammation Instead of Psoriasis-Like Inflammation in CCR2-Deficient Mice

Psoriasis is an immune-mediated chronic inflammatory skin disease, characterized by epidermal hyperplasia and infiltration of leukocytes into the dermis and epidermis. IL-23 is expressed in psoriatic skin, and IL-23 injected into the skin of mice produces IL-22-dependent dermal inflammation and acanthosis. The chemokine receptor CCR2 has been implicated in the pathogenesis of several inflammatory diseases, including psoriasis. CCR2-positive cells and the CCR2 ligand, CCL2 are abundant in psoriatic lesions. To examine the requirement of CCR2 in the development of IL-23-induced cutaneous inflammation, we injected the ears of wild-type (WT) and CCR2-deficient (CCR2−/−) mice with IL-23. CCR2−/− mice had increased ear swelling and epidermal thickening, which was correlated with increased cutaneous IL-4 levels and increased numbers of eosinophils within the skin. In addition, TSLP, a cytokine known to promote and amplify T helper cell type 2 (Th2) immune responses, was also increased within the inflamed skin of CCR2−/− mice. Our data suggest that increased levels of TSLP in CCR2−/− mice may contribute to the propensity of these mice to develop increased Th2-type immune responses.
Effect of occupational noise on the nocturnal sleep architecture of healthy subjects.

BACKGROUND & OBJECTIVES Noise is considered to be a non-specific stressor which generally causes physiological and psychological effects in an individual. Many occupations involve workers being subjected to loud noise levels without adequate protective measures. The study was done to document the changes, if any, in the nocturnal sleep architecture of healthy persons exposed to loud occupational noise during daytime. METHODS The study was a retrospective cohort design wherein three groups of eight subjects each, exposed to continuous occupational background noise levels of > 75dB for 1-2 years, 5-10 years and > 15 years were selected. Corresponding age and gender matched healthy controls (eight for each group) who worked in a quiet atmosphere were also recruited. All night sleep polysomnography was done on all subjects. In the morning, subjects rated their quality of sleep on a Visual Analogue Scale. RESULTS There is a strong association between occupational exposure to loud noise and poor sleep efficiency (Relative Risk 2.49; Confidence Interval 1.12 to 5.57; P = 0.01, Fisher's exact test). The group exposed to noise for 1-2 years had a decrease in Total Rapid Eye Movement Time, Non Rapid Eye Movement Time, Slow Wave Sleep Time, Sleep Onset Latency and Total Sleep Time. The other two groups showed lesser number of changes in sleep architecture. Subjectively there was a decrease for sleep continuity in Group I and an increase for sleep onset in Group II. There is no correlation between loudness of noise in the workplace and sleep efficiency. INTERPRETATION AND CONCLUSION It can be concluded that workers exposed to loud background occupational noise are at an increased risk of having poor quality sleep but adaptation to this effect probably takes place after a few years.
Forecasting Daily Patient Outflow From a Ward Having No Real-Time Clinical Data

Background: Modeling patient flow is crucial in understanding resource demand and prioritization. We study patient outflow from an open ward in an Australian hospital, where currently bed allocation is carried out by a manager relying on past experiences and looking at demand. Automatic methods that provide a reasonable estimate of total next-day discharges can aid in efficient bed management. The challenges in building such methods lie in dealing with large amounts of discharge noise introduced by the nonlinear nature of hospital procedures, and the nonavailability of real-time clinical information in wards. Objective Our study investigates different models to forecast the total number of next-day discharges from an open ward having no real-time clinical data. Methods We compared 5 popular regression algorithms to model total next-day discharges: (1) autoregressive integrated moving average (ARIMA), (2) the autoregressive moving average with exogenous variables (ARMAX), (3) k-nearest neighbor regression, (4) random forest regression, and (5) support vector regression. Although the autoregressive integrated moving average model relied on past 3-month discharges, nearest neighbor forecasting used median of similar discharges in the past in estimating next-day discharge. In addition, the ARMAX model used the day of the week and number of patients currently in ward as exogenous variables. For the random forest and support vector regression models, we designed a predictor set of 20 patient features and 88 ward-level features. Results Our data consisted of 12,141 patient visits over 1826 days. Forecasting quality was measured using mean forecast error, mean absolute error, symmetric mean absolute percentage error, and root mean square error. When compared with a moving average prediction model, all 5 models demonstrated superior performance with the random forests achieving 22.7% improvement in mean absolute error, for all days in the year 2014. Conclusions In the absence of clinical information, our study recommends using patient-level and ward-level data in predicting next-day discharges. Random forest and support vector regression models are able to use all available features from such data, resulting in superior performance over traditional autoregressive methods. An intelligent estimate of available beds in wards plays a crucial role in relieving access block in emergency departments.
Perspectives Anecdotal, Historical and Critical Commentaries on Genetics Phenylthiocarbamide: A 75-Year Adventure in Genetics and Natural Selection

ARIATION in taste sensitivity to the bitter compound phenylthiocarbamide (PTC) is one of the best known Mendelian traits in human populations, ranking alongside eye color and blood types in the canon of classic examples. Much of PTC’s appeal arises from the fact that it is nearly impossible to guess one’s phenotype until explicitly tested, yet, when tested, the phenotype is so striking as to be amusing. This property is important, particularly in education, because it can spice up lessons on inheritance. Less obvious, especially today, is PTC’s appeal as an easily typed yet highly informative genetic marker. It was this aspect of the trait that made PTC an important instrument in the earliest efforts to dissect the human genome.
Gender Diferences in Heart Failure Self-Care: A Multinational Cross-Sectional Study

Background Despite a common view that women are better at self-care, there is very little evidence to support or challenge this perspective in the heart failure (HF) population. Objective The purpose of this study was to determine if there are cross-cultural gender differences in self-reported HF self-care and to describe gender differences in the determinants of HF self-care. Design, setting, and participants A secondary analysis was completed of cross-sectional study data collected on 2082 adults with chronic HF from the United States, Australia and Thailand. Methods Comparisons were made between men and women regarding self-care maintenance, management and confidence as assessed by the Self-Care of Heart Failure Index, as well as the proportion of subjects engaged in adequate self-care. Multivariate comparisons were made to determine if gender explained sufficient variance in HF self-care and the likelihood of reporting adequate self-care, controlling for nine model covariates. Results The sample was comprised of 1306 men and 776 women. Most (73.5%) had systolic or mixed systolic and diastolic HF and 45% had New York Heart Association class III or IV HF. Although small and clinically insignificant gender differences were found in self-care maintenance, gender was not a determinant of any aspect of HF self-care in multivariate models. Married women were 37% less likely to report adequate self-care maintenance than unmarried women. Comorbidities only influenced the HF self-care of men. Being newly diagnosed with HF also primarily affected men. Patients with diastolic HF (predominantly women) had poorer self-care maintenance and less confidence in self-care. Conclusion Differences in HF self-care are attributable to factors other than gender; however, there are several genderspecific determinants of HF self-care that help identify patients at risk for practicing poor self-care.
Impact of integrity attacks on real-time pricing in smart grids

Modern information and communication technologies used by smart grids are subject to cybersecurity threats. This paper studies the impact of integrity attacks on real-time pricing (RTP), a key feature of smart grids that uses such technologies to improve system efficiency. Recent studies have shown that RTP creates a closed loop formed by the mutually dependent real-time price signals and price-taking demand. Such a closed loop can be exploited by an adversary whose objective is to destabilize the pricing system. Specifically, small malicious modifications to the price signals can be iteratively amplified by the closed loop, causing inefficiency and even severe failures such as blackouts. This paper adopts a control-theoretic approach to deriving the fundamental conditions of RTP stability under two broad classes of integrity attacks, namely, the scaling and delay attacks. We show that the RTP system is at risk of being destabilized only if the adversary can compromise the price signals advertised to smart meters by reducing their values in the scaling attack, or by providing old prices to over half of all consumers in the delay attack. The results provide useful guidelines for system operators to analyze the impact of various attack parameters on system stability, so that they may take adequate measures to secure RTP systems.
Glial Glutamate Transporters Maintain One-to-One Relationship at the Climbing Fiber–Purkinje Cell Synapse by Preventing Glutamate Spillover

A glial glutamate transporter, GLAST, is expressed abundantly in Bergmann glia and plays a major role in glutamate uptake at the excitatory synapses in cerebellar Purkinje cells (PCs). It has been reported that a higher percentage of PCs in GLAST-deficient mice are multiply innervated by climbing fibers (CFs) than in the wild-type (WT) mice, and that CF-mediated EPSCs with small amplitude and slow rise time, designated as atypical slow CF-EPSCs, are observed in these mice. To clarify the mechanism(s) underlying the generation of these atypical CF-EPSCs, we used (2S,3S)-3-[3-(4-methoxybenzoylamino)benzyloxy]aspartate (PMB-TBOA), an inhibitor of glial glutamate transporters. After the application of PMB-TBOA, slow-rising CF-EPSCs were newly detected in WT mice, and their rise and decay kinetics were different from those of conventional fast-rising CF-EPSCs but similar to those of atypical CF-EPSCs in GLAST-deficient mice. Furthermore, both slow-rising CF-EPSCs in the presence of PMB-TBOA in WT mice and atypical CF-EPSCs in GLAST-deficient mice showed much greater paired-pulse depression compared with fast-rising CF-EPSCs. In addition, both of them were more markedly inhibited by γ-d-glutamyl-glycine, a low-affinity competitive antagonist of AMPA receptors. These results indicated that both of these types of EPSCs were mediated by a low concentration of glutamate released from neighboring CFs. Based on all of these findings, we suggest that glial transporters prevent glutamate released from a single CF from spilling over to neighboring PCs other than the synaptically connected PC, and play an essential role in the maintenance of the functional one-to-one relationship between CFs and PCs.
Molecular and functional characterization of the p62 complex, an assembly of nuclear pore complex glycoproteins

Macromolecular trafficking across the nuclear envelope involves interactions between cytosolic transport factors and nuclear pore complex proteins. The p62 complex, an assembly of 62, 58, 54, and 45-kD O-linked glycoproteins-localized near the central gated channel of the nuclear pore complex, has been directly implicated in nuclear protein import. The cDNA cloning of rat p62 was reported previously. We have now carried out cDNA cloning of rat p58, p54, and p45. We found that p58 contains regions with FG (Phe, Gly) and PA (Pro, Ala) repeats at both its NH2 and COOH termini separated by a predicted alpha-helical coiled-coil region, while p54 has an NH2-terminal FG and PA repeat region and a COOH-terminal predicted coiled-coil region. p45 and p58 appear to be generated by alternative splicing, with p45 containing the NH2-terminal FG repeat region and the coiled-coil region of p58. Using immunogold electron microscopy, we found that p58/p45 and p54 are localized on both sides of the nuclear pore complex, like p62. Previous studies have shown that immobilized recombinant p62 can bind the cytosolic nuclear import factor NTF2 and thereby deplete transport activity from cytosol. We have now found that immobilized recombinant p58 and p54 also can deplete nuclear transport activity from cytosol, and that p62, p58, and p54 bind directly to the cytosolic nuclear import factors p97 and NTF2. At least in the case of p58, this involves FG repeat regions. Moreover, p58 can bind to a complex containing transport ligand, the nuclear localization sequence receptor (Srp1 alpha) and p97. These data support a model in which the p62 complex binds to a multicomponent particle consisting of transport ligand and cytosolic factors to achieve accumulation of ligand near the central gated channel of the nuclear pore complex.
Two novel pathway analysis methods based on a hierarchical model

Motivation: Over the past few years several pathway analysis methods have been proposed for exploring and enhancing the analysis of genome-wide association data. Hierarchical models have been advocated as a way to integrate SNP and pathway effects in the same model, but their computational complexity has prevented them being applied on a genome-wide scale to date. Methods: We present two novel methods for identifying associated pathways. In the proposed hierarchical model, the SNP effects are analytically integrated out of the analysis, allowing computationally tractable model fitting to genome-wide data. The first method uses Bayes factors for calculating the effect of the pathways, whereas the second method uses a machine learning algorithm and adaptive lasso for finding a sparse solution of associated pathways. Results: The performance of the proposed methods was explored on both simulated and real data. The results of the simulation study showed that the methods outperformed some well-established association methods: the commonly used Fisher’s method for combining P-values and also the recently published BGSA. The methods were applied to two genome-wide association study datasets that aimed to find the genetic structure of platelet function and body mass index, respectively. The results of the analyses replicated the results of previously published pathway analysis of these phenotypes but also identified novel pathways that are potentially involved. Availability: An R package is under preparation. In the meantime, the scripts of the methods are available on request from the authors. Contact: marina.evangelou@cimr.cam. ac.uk Supplementary Information: Supplementary data are available at Bioinformatics online.
The majority of Escherichia coli mRNAs undergo post-transcriptional modification in exponentially growing cells

Polyadenylation of RNAs by poly(A) polymerase I (PAP I) in Escherichia coli plays a significant role in mRNA decay and general RNA quality control. However, many important features of this system, including the prevalence of polyadenylated mRNAs in the bacterium, are still poorly understood. By comparing the transcriptomes of wild-type and pcnB deletion strains using macroarray analysis, we demonstrate that >90% of E.coli open reading frames (ORFs) transcribed during exponential growth undergo some degree of polyadenylation by PAP I, either as full-length transcripts or decay intermediates. Detailed analysis of over 240 transcripts suggests that Rho-independent transcription terminators serve as polyadenylation signals. Conversely, mRNAs terminated in a Rho-dependent fashion are probably not substrates for PAP I, but can be modified by the addition of long polynucleotide tails through the biosynthetic activity of polynucleotide phosphorylase (PNPase). Furthermore, real-time PCR analysis indicates that the extent of polyadenylation of individual full-length transcripts such as lpp and ompA varies significantly in wild-type cells. The data presented here demonstrates that polyadenylation in E.coli occurs much more frequently than previously envisioned.
Long-Term Exposure to Environmental Concentrations of the Pharmaceutical Ethynylestradiol Causes Reproductive Failure in Fish

Heightened concern over endocrine-disrupting chemicals is driven by the hypothesis that they could reduce reproductive success and affect wildlife populations, but there is little evidence for this expectation. The pharmaceutical ethynylestradiol (EE2) is a potent endocrine modulator and is present in the aquatic environment at biologically active concentrations. To investigate impacts on reproductive success and mechanisms of disruption, we exposed breeding populations (n = 12) of zebrafish (Danio rerio) over multiple generations to environmentally relevant concentrations of EE2. Life-long exposure to 5 ng/L EE2 in the F1 generation caused a 56% reduction in fecundity and complete population failure with no fertilization. Conversely, the same level of exposure for up to 40 days in mature adults in the parental F0 generation had no impact on reproductive success. Infertility in the F1 generation after life-long exposure to 5 ng/L EE2 was due to disturbed sexual differentiation, with males having no functional testes and either undifferentiated or inter-sex gonads. These F1 males also showed a reduced vitellogenic response when compared with F0 males, indicating an acclimation to EE2 exposure. Depuration studies found only a partial recovery in reproductive capacity after 5 months. Significantly, even though the F1 males lacked functional testes, they showed male-pattern reproductive behavior, inducing the spawning act and competing with healthy males to disrupt fertilization. Endocrine disruption is therefore likely to affect breeding dynamics and reproductive success in group-spawning fish. Our findings raise major concerns about the population-level impacts for wildlife of long-term exposure to low concentrations of estrogenic endocrine disruptors.