Miracle-dz/UniFAR-FTUs huggingface dataset:
On the Maximal Energy Trees with One Maximum and One Second Maximum Degree Vertex

For a simple graph G, the energy E(G) is defined as the sum of the absolute values of all eigenvalues of its adjacent matrix. For d1 >d 2 ≥ 3a ndt ≥ 3, denote by Ta the tree formed from a path Pt on t vertices by attaching d1 − 1 P2’s on one end and d2 − 1 P2’s on the other end of the path Pt ,a ndTb the tree formed fromPt+2 by attaching d1 − 1 P2’s on an end of the Pt+2 and d2 − 2 P2’s on the vertex next to the end. In [14] Yao showed that among trees of order n and two vertices of maximum degree d1 and second maximum degree d2 (d1 >d 2), the maximal energy tree is either the graph Ta or the graph Tb ,w heret = n +4 − 2d1 − 2d2 ≥ 3. However, she could not determine which one of Ta and Tb is the maximal energy tree. This is because the quasi-order method is invalid for comparing their energies. In this paper, we use a new method to determine the maximal energy tree. We prove that the maximal energy tree is Tb if d1 ≥ 7, d2 ≥ 3o rd1 =6 ,d 2 = 3. Moreover, for d1 = 4 and d2 = 3, the maximal energy tree is the graph Tb if t =4 , and the graph Ta otherwise. For other cases, the maximal energy tree is the graph Ta if (i) d1 =5 ,d 2 =4 ,t is odd and 3 ≤ t ≤ 45, (ii) d1 =5 ,d 2 =3 ,t is odd and 3 ≤ t ≤ 29, (iii) d1 =6 ,d 2 =5 ,t =3 , 5, 7, (iv) d1 =6 ,d 2 =4 ,t = 5; and for all the remaining cases, the maximal energy tree is the graph Tb.
Stretching a Penny: Completing a Rapid Needs Assessment for a Nonprofit Community-Based Hospice Wellness Center in Ontario, Canada

Abstract The literature pertaining to community-based hospice wellness centres, especially concerning program evaluation, is sparse. This article describes the development and implementation of a mixed-method, rapid needs assessment for a nonprofit community-based hospice wellness centre in Ontario, Canada. As part of the needs assessment, a survey and focus groups were performed to elicit responses from service users. Individuals registered for services and wellness centre attendees were asked about their needs, opinions, and preferences to help guide future program and service options. Findings and recommendations are presented for programming and service options, and implications for future program evaluation projects are discussed. The methodology of this time and cost-efficient evaluation provides insights that can be utilized by other hospice wellness centres facing similar challenges of time, money, and program evaluation expertise constraints. The findings and recommendations may inform program and service offerings at other Canadian hospice wellness centres.
Exponential estimates for "not very large deviations" and wave front propagation for class of reaction-diffusion equations

Summary A Large Deviation Principle (LDP) for a class of random processes depending on a small parameter " > 0 is established. This class of processes arises from a random perturbation of a dynamical system. Then, exponential estimates for events of the type “not very large deviations” (deviations of order " � , 0 < � < 1 ) are obtained. Finally, the wave front propagation, as " ↓ 0, of the solution of some initial-boundary value problems is analyzed; these problems are formulated in terms of a reaction-diffusion equation whose diffusion coefficient is of order 1 " and the nonlinear term is of order 1 "1 2� . The wave front is characterized in terms of the action functional corresponding to the Large Deviation Principle initially obtained.
Second era of molecular-targeted cancer therapies in dogs

The development of molecular biology and bioinformatics using next-generation sequencing has dramatically advanced the identification of molecules involved in various diseases and the elucidation of their pathogenesis. Consequently, many molecular-targeted therapies have been developed in the medical field. In veterinary medicine, the world’s first molecular-targeted drug for animals, masitinib, was approved in 2008, followed by the multikinase inhibitor toceranib in 2009. Toceranib was originally approved for mast cell tumors in dogs but has also been shown to be effective in other tumors because of its ability to inhibit molecules involved in angiogenesis. Thus, toceranib has achieved great success as a molecular-targeted cancer therapy for dogs. Although there has been no progress in the development and commercialization of new molecular-targeted drugs for the treatment of cancer since the success of toceranib, several clinical trials have recently reported the administration of novel agents in the research stage to dogs with tumors. This review provides an overview of molecular-targeted drugs for canine tumors, particularly transitional cell carcinomas, and presents some of our recent data.
Information Bounds for Regression Models with Missing Data

In this paper we revisit the information bound calculations in Robins, Rotnitzky, and Zhao (1994) and Robins, Hsieh, and Newey (1995) for regression models with missing covariates. We present an approach to their calculations based on score operators which verifies the bounds established in sections 2-5 of RRZ and in section 3 of RHN (up to typos in the case of RHN). In the case of the Cox regression model for survival data treated in RRZ section 8, we obtain different results than those of RRZ. The integral equation we present for the least favorable direction simplifies to the known information bound for the Cox model with complete data. \Ne give examples of our information calculations for case-cohort designs and errors in variables regression models for survival data.
Analysis of Shear-thinning Fluid motion in Taylor-Couette flow

Viscosity of the shear-thinning fluid depends on the shear rate. This study is conducted in Taylor vortex flow conditioned by the rotation of inner cylinder and stillness of outer cylinder and just taking into account the axial flow for estimating the parameters of flow (velocity and pressure components) in the narrow gap between two cylinders. The results of this study are important in the bearing application. The equations of Taylor–Couette flow and Galerkin method were obtained by the equations for the conservation of mass and momentum equations. Flow parameters were obtained by Fortran and investigated by Mathematica software. The flow is the sum of base flow and a deviation from the base flow. According to the main results of analysis above, the target diagrams are compared with Newtonian and a 1 diagrams. The more the value of parameter a 2 is reduced, the quicker the flow will become critical. All components of real velocity and pressure are reduced while increasing Shear-thinning.
Predicting cognitive decline in older people by structural and molecular imaging

Purpose of review Availability of possible disease modifying treatments and the recognition of predementia stages of Alzheimer's disease (AD) have raised awareness for the prognostic and predictive role of biomarkers, particularly imaging markers. Recent findings The positive predictive value of amyloid PET for the transition to prodromal AD or AD dementia in cognitively normal people is below 25%. Evidence for tau PET, FDG-PET and structural MRI is even more limited. In people with mild cognitive impairment (MCI), imaging markers yield positive predictive values above 60% with moderate advantages for amyloid PET over the other modalities and an added value for the combination of molecular with downstream neurodegeneration markers. Summary In cognitively normal people, imaging is not recommended for individual prognosis due to lack of sufficient predictive accuracy. Such measures should be restricted to risk enrichment in clinical trials. In people with MCI, amyloid PET and, to a somewhat lesser extent, tau PET, FDG-PET, and MRI yield relevant predictive accuracy for clinical counseling as part of a comprehensive diagnostic program in tertiary care units. Future studies should focus on the systematic and patient-centered implementation of imaging markers in evidence-based care-pathways for people with prodromal AD.
An exploratory domain analysis of deployment risks and protective features and their association to mental health, cognitive functioning and job performance in military personnel

ABSTRACT Background Meta-analyses of military deployment involve the exploration of focused associations between predictors and peri and post-deployment outcomes. Objective We aimed to provide a large-scale and high-level perspective of deployment-related predictors across eight peri and post-deployment outcomes. Design Articles reporting effect sizes for associations between deployment-related features and indices of peri and post-deployment outcomes were selected. Three-hundred and fourteen studies (N = 2,045,067) and 1,893 relevant effects were retained. Deployment features were categorized into themes, mapped across outcomes, and integrated into a big-data visualization. Methods Studies of military personnel with deployment experience were included. Extracted studies investigated eight possible outcomes reflecting functioning (e.g., post-traumatic stress, burnout). To allow comparability, effects were transformed into a Fisher’s Z. Moderation analyses investigating methodological features were performed. Results The strongest correlates across outcomes were emotional (e.g., guilt/shame: Z = 0.59 to 1.21) and cognitive processes (e.g., negative appraisals: Z = −0.54 to 0.26), adequate sleep on deployment (Z = −0.28 to – 0.61), motivation (Z = −0.33 to – 0.71), and use of various coping strategies/recovery strategies (Z = −0.25 to – 0.59). Conclusions Findings pointed to interventions that target coping and recovery strategies, and the monitoring of emotional states and cognitive processes post-deployment that may indicate early risk.
Interference mitigation in intentional jammers aided non-uniform heterogeneous cellular networks

Coverage and capacity are optimized in fifth generation (5G) networks by small base station (SBS) distribution in the coverage realm of macro base station (MBS). However, system performance is significantly reduced by inter-cell interference (ICI) because of the orthogonal frequency division multiple access assumption. In addition to ICI, this work considers intentional jammers’ interference (IJI) due to the presence of jammers. These Jammers try to inject undesirable energies into the legitimate communication band, which significantly degrade uplink (UL) signal-to-interference ratio (SIR). To reduce ICI and IJI, in this work, we employ SBS muting, where the SBSs near MBS are switched off. To further mitigate ICI and IJI, we use one of the effective interference management schemes a.k. a reverse frequency allocation (RFA). We presume that due to mitigation in ICI and IJI, the UL coverage performance of the proposed network model can be further improved.
On interquantile smoothness of censored quantile regression with induced smoothing

Quantile regression has emerged as a useful and effective tool in modeling survival data, especially for cases where noises demonstrate heterogeneity. Despite recent advancements, non‐smooth components involved in censored quantile regression estimators may often yield numerically unstable results, which, in turn, lead to potentially self‐contradicting conclusions. We propose an estimating equation‐based approach to obtain consistent estimators of the regression coefficients of interest via the induced smoothing technique to circumvent the difficulty. Our proposed estimator can be shown to be asymptotically equivalent to its original unsmoothed version, whose consistency and asymptotic normality can be readily established. Extensions to handle functional covariate data and recurrent event data are also discussed. To alleviate the heavy computational burden of bootstrap‐based variance estimation, we also propose an efficient resampling procedure that reduces the computational time considerably. Our numerical studies demonstrate that our proposed estimator provides substantially smoother model parameter estimates across different quantile levels and can achieve better statistical efficiency compared to a plain estimator under various finite‐sample settings. The proposed method is also illustrated via four survival datasets, including the HMO (health maintenance organizations) HIV (human immunodeficiency virus) data, the primary biliary cirrhosis (PBC) data, and so forth.
The role of emergency physicians in the fight against health misinformation: Implications for resident training

Emergency physicians on the frontlines of the COVID‐19 pandemic are first‐hand witnesses to the direct impact of health misinformation and disinformation on individual patients, communities, and public health at large. Therefore, emergency physicians naturally have a crucial role to play to steward factual information and combat health misinformation. Unfortunately, most physicians lack the communications and social media training needed to address health misinformation with patients and online, highlighting an obvious gap in emergency medicine training. We convened an expert panel of academic emergency physicians who have taught and conducted research about health misinformation at the Society for Academic Emergency Medicine (SAEM) Annual Meeting in New Orleans, LA, on May 13, 2022. The panelists represented geographically diverse institutions including Baystate Medical Center/Tufts University, Boston Medical Center, Northwestern University, Rush Medical College, and Stanford University. In this article, we describe the scope and impact of health misinformation, introduce methods for addressing misinformation in the clinical environment and online, acknowledge the challenges of tackling misinformation from our physician colleagues, demonstrate strategies for debunking and prebunking, and highlight implications for education and training in emergency medicine. Finally, we discuss several actionable interventions that define the role of the emergency physician in the management of health misinformation.
Transdiagnostic Predictors of Everyday Functioning: Examining the Relationships of Depression and Reinforcement Learning.

BACKGROUND AND HYPOTHESIS Impairments in function (ie, the ability to independently accomplish daily tasks) have been established in psychotic disorders. Identifying factors that contribute to these deficits is essential to developing effective interventions. The current study had several goals: examine potential differential relationships across domains of neurocognition, assess whether reinforcement learning is related to function, identify if predictors of function are transdiagnostic, determine whether depression and positive symptoms contribute to function, and to explore whether the modality of assessment impacts observed relationships. STUDY DESIGN Data from 274 participants were examined with schizophrenia/schizoaffective disorder (SZ; n = 195) and bipolar disorder (BD; n = 79). To reduce dimensionality, a PCA was completed on neurocognitive tasks which resulted in 3 components. These components and clinical interview data were used to investigate predictors of functional domains across measures of function (self- and informant-report SLOF and UPSA). RESULTS Two components, working memory/processing speed/episodic memory (βs = 0.18-0.42), and negative/positive reinforcement learning (β = -0.04), predicted different functional domains. Predictors of function were largely transdiagnostic with two exceptions: reinforcement learning had a positive association with self-reported interpersonal relationships for SZ and a negative association for BD (β = 0.34), and the negative association between positive symptoms and self-reported social acceptability was stronger for BD than for SZ (β = 0.93). Depression robustly predicted self-reported but not informant-reported function, and anhedonia predicted all domains of informant-reported function. CONCLUSIONS These findings imply that reinforcement learning may differentially relate to function across disorders, traditional domains of neurocognition can be effective transdiagnostic targets for interventions, and positive symptoms and depression play a critical role in self-perceived functional impairments.
AN TEXT CLASSIFICATION APPROACH BASED ON THE GRAPH SPACE MODEL

To do the text classification on the basis of VSM, and use the maximum common subgraph to measure two graphs’ similarities are the relatively common methods, but these methods have not made full use of lots of semantic information spatial model contained, so the text classification performance is generally poor. In order to improve the classification results of the graph, on the basis of the structural equivalence, this paper further analyzes the maximum common substructure graph nodes and edges if it is a true semantic equivalence, and puts forward a kind of improvement text similarity metrics based on the graph space model. Then apply it to the text classification, the classification performance has been improved. Finally, verify the effectiveness of this method by experiment.
Body-related shame and authentic pride are independently associated with self-rated health in young adults.

INTRODUCTION Although body weight has been positioned as a strong predictor of physical and mental health, positive and negative body-related psychosocial factors may also be important. Further, both theoretical tenets and empirical evidence suggest that these associations may differ by gender. Our objectives were to examine the associations between body-related self-conscious emotions (body shame, body authentic pride) and physical and mental health in young adults, and to identify potential differences in these associations by gender. METHODS Data for this cross-sectional study were drawn from the Nicotine Dependence in Teens (NDIT) study for 799 young adults (M [SD] age = 33.6 y [0.5]; 43.9% male). We estimated the associations between each of body shame and body authentic pride (i.e. the exposures) and both self-rated physical and self-rated mental health (i.e. the outcomes) in linear regression models that controlled for age, education and body mass index, and we examined potential gender differences in these associations by conducting gender-stratified analyses. RESULTS In females, self-rated health and mental health decreased by 0.37 and 0.38, respectively, with each unit increase in body shame. Self-rated health and mental health increased by 0.25 and 0.23, respectively, for each unit increase in body authentic pride. In males, self-rated health and mental health decreased by 0.35 and 0.45, respectively, with each unit increase in body shame, and increased by 0.32 and 0.21, respectively, with each unit increase in body authentic pride. CONCLUSION Interventions that focus on body weight to the exclusion of body-related self-conscious emotions may side-step a key contributor to self-rated health.
Numerical Approach to Construction of Lyapunov Function for Nonlinear Stability Analysis

This study proposes a numerical approach using Adaptive Tabu search (ATS) to construct Lyapunov function that maximizes region of attraction. The proposed methods is directly useful for stability analysis of nonlinear dynamical systems. Two illustrative examples including a synchronous generator possessing multiple equilibriums and a non-autonomous system are given to demonstrate the practicality and effectiveness of the approach.
Computational Modeling and Analysis of Mechanically Painful Stimulations

Cuff algometry is used for quantitative assessment of deep-tiss ue ensitivity. However, the mechanical influences of cuff pressure algometry on dee p-tissue nociceptors are not clarified. It is unknown which anatomical tissues ar mainly excited and how the generated stress and strain are propagated in deep -tissues during cuff stimulations. Although the characteristics of the pressure distribution exerted on the limb surface are of the extrinsic factors in provoking deep-tissues during cuff algometry, the knowledge on the features of this interface pressure and its effect on pain response are lacking. The main purpose of this PhD dissertation is to provide a novel insight into the intrinsic and extrinsic factors i nvolving mechanically induced pain during cuff pressure algometry
Cohomology of groups and splendid equivalences of derived categories

In an earlier paper we studied the impact of equivalences between derived categories of group rings on their cohomology rings. Especially the group of auto-equivalences TrPic(RG) of the derived category of a group ring RG as introduced by Raphaël Rouquier and the author defines an action on the cohomology ring of this group. We study this action with respect to the restriction map, transfer, conjugation and the local structure of the group G.
Finite-sample size distortion of the AESTAR unit root test: GARCH, corrected variance–covariance matrix estimators and adjusted critical values

ABSTRACT The behaviour of the asymmetric exponential smooth transition autoregressive (AESTAR) unit root test, which allows for asymmetric and nonlinear reversion to equilibrium, is examined in the presence of generalized autoregressive conditional heteroscedasticity (GARCH). It is found that while the test is relatively robust in the presence of ‘low volatility’ GARCH processes, it exhibits substantial size distortion when large values of the volatility parameter are considered. Attempted resolution via the routine application of heteroscedasticity consistent (or ‘corrected’) covariance matrix estimators (HCCMEs) is shown to result in overwhelming size distortion due to their impact upon the finite-sample distribution of the underlying test statistic. However, application of a corrected HCCME, in combination with critical values derived specifically under its use, results in the control of test size. Analogous results for the Dickey–Fuller (1979) test are presented to permit comparison with a test considering linear, symmetric adjustment. It is found that the AESTAR test is subject to far greater distortion than its linear, symmetric alternative. In summary, the results indicate that caution must be exercised when applying the AESTAR test to macroeconomic and financial time series, particularly if routine application of corrected covariance matrix estimators occurs.
A new improved method for computation of radial stiffness of permanent magnet bearings

The new method for the computation of the radial stiffness is based on the perturbative treatment of the deviation from the cylindrical symmetry of the magnetic field due to the small displacements of the rotor. It turns out that the partial differential equations of the vector potential are 2D and can be easily solved by means of appropriately adapted FEM programs. The present method is more general than the exact Coulomb integral method which can be applied only for force calculation in bearings without iron parts and is more exact and needs less computation effort than the method based on Cartesian development of the system. >