Miracle-dz/UniFAR-FTUs huggingface dataset:
Continuity of treatment with benzodiazepines in dementia patients: an analysis of German health insurance claims data

Long-term treatment with benzodiazepines (BZD) should be avoided in dementia patients because of an increased risk of adverse events. We evaluated how continuously dementia patients were prescribed BZD over 12 months. For this observational study, we used claims data from a large German public sickness fund for 2014 and 2015, including patients with an incident diagnosis of dementia in 2014. The aim was to evaluate the continuity of treatment, the frequency of BZD prescriptions and defined daily doses were evaluated. In total, 1298 (5.6%) patients received 4.7±5.2 BZD prescriptions in 2015 on average. Thereof, lorazepam (47.5%), oxazepam (18.6%), diazepam (14.5%), and bromazepam (12.2%) were most often prescribed. 30.7% of the patients received at least one BZD prescription in each quarter of 2015. Although the total number of patients receiving BZD decreased in 2015, defined daily doses for single substances remained mainly unchanged. The incident diagnosis of dementia was not associated with modifications of prescription behavior. The treatment with BZD was not discontinued in a large proportion of dementia patients, increasing the risk of adverse events. Physicians’ awareness of avoiding BZD should be improved and further evidence for the appropriate treatment of psychiatric symptoms in dementia (e.g. sleep disturbances, anxiety) is required.
Improving multiresolution topology optimization via multiple discretizations

Unlike the traditional topology optimization approach that uses the same discretization for finite element analysis and design optimization, this paper proposes a framework for improving multiresolution topology optimization (iMTOP) via multiple distinct discretizations for: (1) finite elements; (2) design variables; and (3) density. This approach leads to high fidelity resolution with a relatively low computational cost. In addition, an adaptive multiresolution topology optimization (AMTOP) procedure is introduced, which consists of selective adjustment and refinement of design variable and density fields. Various two‐dimensional and three‐dimensional numerical examples demonstrate that the proposed schemes can significantly reduce computational cost in comparison to the existing element‐based approach. Copyright © 2012 John Wiley & Sons, Ltd.
GETTING READY FOR THE MARRIAGE MARKET? FURTHER COMMENT

Grimps & Schneider (2012) again question our finding that divorce risk has an impact on the weight of the married. Unfortunately, they get it wrong the second time as well. As we emphasized in our previous response (Lundborg et al., 2012), their use of the statistical multilevel approach (Schneider & Grimps, 2012) was inadequate, as their analysis suffered from too few clusters at the national level. Recognizing our critique, they now employ the generalized estimation equation (GEE), admittedly being more suited than previous efforts to handle the data structure at hand. In their re-estimation of the original model, they use gender-specific data on divorce risks reported by the United Nation instead of the Lundberg et al. (2007) calculated common divorce risks, their reason for separate estimations for men and women being that ‘. the risk of divorce differs noticeably between men and women. ’ (Grimps & Schneider, 2012). Apparently, this claim needs some clarification. At any point in time, in monogamous heterosexual marriages, there are certainly as many married males as females in a population, and equally many men and women are under the risk of divorce. However, since there is often an age difference between man and wife within marriage, gender differences in divorce risk by age will be observed at an aggregate level. Having said that, it should be noticed that their new results reinforce our hypothesis that the divorce risk affects the weight of the married; in addition, the estimated effect of divorce risk on body weight is found to be stronger for men than for women (Grimps & Schneider, 2012, Table 3). Grimps & Schneider (2012) conclude: ‘Our former findings prove to be not robust and could be a product of the shortcomings of the multilevel analysis. ’ In other words, using correct techniques, they now find strong support for our hypothesis that divorce risk affects the weight of the married. They do not settle for this, however. Instead, they introduce a new model, in which the share of people being overweight (regardless of marital status) in the countries under study is included as an explanatory variable (Grimps & Schneider, 2012, Table 4). The effect of divorce risk then appears no longer significant, once again inclining them to
Speech Denoising with Deep Feature Losses

We present an end-to-end deep learning approach to denoising speech signals by processing the raw waveform directly. Given input audio containing speech corrupted by an additive background signal, the system aims to produce a processed signal that contains only the speech content. Recent approaches have shown promising results using various deep network architectures. In this paper, we propose to train a fully-convolutional context aggregation network using a deep feature loss. That loss is based on comparing the internal feature activations in a different network, trained for acoustic environment detection and domestic audio tagging. Our approach outperforms the state-of-the-art in objective speech quality metrics and in large-scale perceptual experiments with human listeners. It also outperforms an identical network trained using traditional regression losses. The advantage of the new approach is particularly pronounced for the hardest data with the most intrusive background noise, for which denoising is most needed and most challenging.
Effects and Risk-Taking Among Entrepreneurs : Lab-inthe-Field Evidence

Lopera : University of Munich (e-mail: malopera@econ.lmu.de) Marchand : Université Laval (e-mail: steeve.marchand@ecn.ulaval.ca) We study how social interactions influence entrepreneurs' attitudes toward risk. We conduct two risk-taking experiments within workshops organized for young Ugandan entrepreneurs. Between the two experiments, the entrepreneurs participate in a networking activity where they build relationships and discuss with each other. We collect detailed data on peer network formation and on participants' choices before and after the networking activity. Our design implicitly controls for homophily effects (i.e. the tendency of individuals to develop relationships with people who have similar characteristics). We find that risk aversion is affected by social conformity. Participants tend to become more (less) risk averse in the second experiment if the peers they discuss with are on average more (less) risk averse in the first experiment. This suggests that social interactions play a role in shaping risk preferences.
Conditional Sparse 𝓁p-norm Regression With Optimal Probability

We consider the following conditional linear regression problem: the task is to identify both (i) a $k$-DNF condition $c$ and (ii) a linear rule $f$ such that the probability of $c$ is (approximately) at least some given bound $\mu$, and $f$ minimizes the $\ell_p$ loss of predicting the target $z$ in the distribution of examples conditioned on $c$. Thus, the task is to identify a portion of the distribution on which a linear rule can provide a good fit. Algorithms for this task are useful in cases where simple, learnable rules only accurately model portions of the distribution. The prior state-of-the-art for such algorithms could only guarantee finding a condition of probability $\Omega(\mu/n^k)$ when a condition of probability $\mu$ exists, and achieved an $O(n^k)$-approximation to the target loss, where $n$ is the number of Boolean attributes. Here, we give efficient algorithms for solving this task with a condition $c$ that nearly matches the probability of the ideal condition, while also improving the approximation to the target loss. We also give an algorithm for finding a $k$-DNF reference class for prediction at a given query point, that obtains a sparse regression fit that has loss within $O(n^k)$ of optimal among all sparse regression parameters and sufficiently large $k$-DNF reference classes containing the query point.
The diagnosis and management of rare cystic liver metastases from nasopharyngeal carcinoma

Rational: Nasopharyngeal carcinoma (NPC) with cystic liver metastases is so rarely observed that there are only three cases reported in the published literature. Patient concerns: We present a case of NPC that received complete response after chemotherapy and definitive radiotherapy, but a liver cystic lesion was revealed on abdominal sonogram three months after the initial therapy. The cystic liver lesion initially resembled a simple liver cyst with fast growth, and then evolved into an abscess-like mass after a short term. Though abscess drainage was performed, and the mass shrank significantly, but it returned to previous size two months later. Diagnoses: Surgical resection was administrated both for diagnosis and treatment, and eventually the lesion was histologically demonstrated to be a liver metastasis. Eight months after the partial hepatectomy, cystic liver metastases recurred on computed tomography (CT) scan. Interventions: Though palliative systematic chemotherapy including paclitaxel, cisplatin, gemcitabine, navobine and anti-epidemal growth factor receptor (anti-EGFR) molecular-targeted therapy were performed, the cystic metastases still gradually progressed. Then Transcatheter Hepatic Artery Chemoembolization (TACE) was administrated for five times, and all the lesions were obviously decreased in size. Outcomes: After TACE treatment, the liver metastases maintained stable for six months, but lung metastases were noted. Finally, the patient died of liver failure. Lessons: The rare cystic appearance may be a special form which exists for liver metastases of NPC, indicating poor prognosis. Oncologists need to enhance the recognition and diagnosis level of this type of metastases. Intense follow-up and early diagnosis are important. While emphasizing the importance of local therapy and personal principles for liver metastases, TACE may be a preferred method for unresectable cystic liver metastases from NPC.
Assembly of Au Plasmonic Photothermal Agent and Iron Oxide Nanoparticles on Ultrathin Black Phosphorus for Targeted Photothermal and Photodynamic Cancer Therapy

Photodynamic therapy (PDT), as a minimally invasive and high‐efficiency anticancer approach, has received extensive research attention recently. Despite plenty of effort devoted to exploring various types of photodynamic agents with strong near‐infrared (NIR) absorbance for PDT and many encouraging progresses achieved in the area, effective and safe photodynamic photosensitizers with good biodegradability and biocompatibility are still highly expected. In this work, a novel nanocomposite has been developed by assembly of iron oxide (Fe3O4) nanoparticles (NPs) and Au nanoparticles on black phosphorus sheets (BPs@Au@Fe3O4), which shows a broad light absorption band and a photodegradable character. In vitro and in vivo assay indicates that BPs@Au@Fe3O4 nanoparticles are highly biocompatible and exhibit excellent tumor inhibition efficacy owing to a synergistic photothermal and photodynamic therapy mediated by a low‐power NIR laser. Importantly, BPs@Au@Fe3O4 can anticipatorily suppress tumor growth by visualized synergistic therapy with the help of magnetic resonance imaging (MRI). This work presents the first combination application of the photodynamic and photothermal effect deriving from black phosphorus nanosheets and plasmonic photothermal effect from Au nanoparticles together with MRI from Fe3O4 NPs, which may open the new utilization of black phosphorus nanosheets in biomedicine, optoelectronic devices, and photocatalysis.
How Digital Nudges Influence Consumers - Experimental Investigation in the Context of Retargeting

Retargeting is an innovative online marketing technique in the modern age. Although this advertising form offers great opportunities of bringing back customers who have left an online store without a com-plete purchase, retargeting is risky because the necessary data collection leads to strong privacy con-cerns which, in turn, trigger consumer reactance and decreasing trust. Digital nudges – small design modifications in digital choice environments which guide peoples’ behaviour – present a promising concept to bypass these negative consequences of retargeting. In order to prove the positive effects of digital nudges, we aim to conduct an online experiment with a subsequent survey by testing the impacts of social nudges and information nudges in retargeting banners. Our expected contribution to theory includes an extension of existing research of nudging in context of retargeting by investigating the effects of different nudges in retargeting banners on consumers’ behaviour. In addition, we aim to provide practical contributions by the provision of design guidelines for practitioners to build more trustworthy IT artefacts and enhance retargeting strategy of marketing practitioners.
Differentiated thyroid carcinomas associated with chronic thyroiditis: biological and clinical properties.

AIM To determine biological and clinical features of papillary and follicular thyroid carcinomas associated or not associated with chronic thyroiditis. MATERIALS AND METHODS The study was conducted by retrospective analysis of medical histories of 2,459 patients with thyroid cancer. Tumor size, its category according to the TNM system, multi-focal properties of tumor growth, carcinoma invasiveness, as well as disease stage, rates of relapses and metastasis, and also cumulative survival rates were analyzed. RESULTS The tumor size in patients with papillary or follicular carcinoma associated with thyroiditis was smaller compared to the patients without thyroiditis. In the first case, the invasion frequency into extrathyroid structure and into the capsule was also lower. Multi-focal growth of both carcinoma types was registered more frequently in the presence of thyroiditis. The frequency of papillary carcinoma metastasis to lateral cervical lymph nodes was lower in the presence of thyroiditis, the frequency being equal for metastasis into lymph nodes of the VI lymph outflow zone in both groups of patients (with and without thyroiditis). In the presence of thyroiditis, the frequency of distant papillary carcinoma metastasis was decreased, no metastases were detected in patients with follicular carcinoma. In the group of patients with papillary carcinoma there was found no relation between the presence of thyroiditis and disease stage, relapse rates, and mortality levels; however, the risk of follicular carcinoma relapse was significantly lower in patients with thyroiditis. CONCLUSIONS The presence of chronic thyroiditis in papillary carcinoma patients showed a certain positive impact on the course of the disease, in particular, primary tumor growth, invasion, and metastasis. Such effect is even more expressed in the patients with follicular thyroid carcinoma.
Retrospective analysis of malaria transmission patterns and its association with meteorological variables in lowland areas of Plateau state, Nigeria

Malaria is a major public health problem in the remote areas of lower Plateau state. This study described malaria transmission patterns and analysed the impact of meteorological variables on the disease transmission in the study area. The study was a retrospective study, which involved the use of archival data relating to rainfall, temperature, relative humidity and malaria case reports. Data on climatic factors and malaria cases were obtained from the Nigeria Meteorological Agency and the general hospitals from selected areas of Langtang North, Mikang and Shendam from 2003-2015. Estimated smoothed trend line series for climatic factors were obtained based on structural time-series models in combination with the Kalman filter. Generalized Additive Models were used to model trends in malaria incidences over time and it’s lagged association with meteorological variables. The results show a significant cyclical trend in malaria incidences in Langtang-North and Shendam (p<0.001) whereas the trend in Mikang was also significant (p<0.001) but an increasing linear one. The association between monthly malaria cases and mean monthly meteorological variables were significant (p< 0.05) at different time lags and locations. Our findings suggest that meteorological factors are among the major determinants of malaria transmission in the study areas. This will be informative in planning intervention strategies specific to each study area
Distinct regional brain atrophy pattern in multiple sclerosis and neuropsychiatric systemic lupus erythematosus patients

Differentiation of systemic lupus erythematosus (SLE) from multiple sclerosis (MS) can be challenging, especially when neuropsychiatric (NP) symptoms are accompanied by white matter lesions in the brain. Given the lack of discriminative power of currently applied tools for their differentiation, there is an unmet need for other measures that can aid in distinguishing between the two autoimmune disorders. In this study we aimed at exploring whether brain atrophy measures could serve as markers differentiating MS and SLE. Thirty-seven relapsing–remitting MS and 38 SLE patients with nervous system manifestations, matched according to age and disease duration, underwent 1.5 Tesla magnetic resonance imaging (MRI), including volumetric sequences, and clinical assessment. Voxelwise analysis was performed using ANTS-SyN elastic registration protocol, FSL Randomise and Gamma methods. Cortical and subcortical segmentation was performed with Freesurfer 5.3 pipeline using T1-weighted MPRAGE sequence data. Using MRI volumetric markers of general and subcortical gray matter atrophy and clinical variables, we built a stepwise multivariable logistic diagnostic model to identify MRI parameters that best differentiate MS and SLE patients. We found that the best volumetric predictors to distinguish them were: fourth ventricle volume (sensitivity 0.86, specificity 0.57, area under the curve, AUC 0.77), posterior corpus callosum (sensitivity 0.81, specificity 0.57, AUC 0.68), and third ventricle to thalamus ratio (sensitivity 0.42, specificity 0.84, AUC 0.65). The same classifiers were identified in a subgroup analysis that included patients with a short disease duration. In MS brain atrophy and lesion load correlated with clinical disability, while in SLE age was the main determinant of brain volume. This study proposes new imaging parameters for differential diagnosis of MS and SLE with central nervous system involvement. We show there is a different pattern of atrophy in MS and SLE, and the key structural volumes that are differentially affected include fourth ventricle and posterior section of corpus callosum, followed by third ventricle to thalamus ratio. Different correlation patterns between volumetric and clinical data may suggest that while in MS atrophy is driven mainly by disease activity, in SLE it is mostly associated with age. However, these results need further replication in a larger cohort.
Changes in Th1/Th2-producing cytokines during acute exacerbation chronic obstructive pulmonary disease

Objective This study aimed to explore cytokine serum levels and the ratio of type 1 T helper (Th1)/Th2 cells in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Methods A total 245 patients diagnosed with AECOPD and 193 patients who progressed to stable COPD after the initiation of treatment in hospital were selected, while a further 50 healthy individuals served as controls. All patients with COPD were diagnosed using Global Initiative for Chronic Obstructive Lung Disease criteria. Serum concentrations of interleukin (IL)-2, interferon (IFN)-γ, IL-4, IL-10, IL-17, and immunoglobulin (Ig)E were measured using enzyme-linked immunosorbent assays. Results AECOPD patients had higher levels of IL-2, IFN-γ, IL-4, IL-10, IL-17, and IgE than those with stable COPD or controls. Intriguingly, the ratios of Th1/Th2 and IL-17/IgE were lower in AECOPD patients compared with the other two groups. These data suggest that AECOPD patients produce more IgE and have more differentiated Th2 cells than other groups. Conclusion Our findings suggest that an imbalance of circulating CD4+ T cell subsets correlates with AECOPD, and that a shift of Th1/Th2 and IL-17/IgE ratios may be caused by increased Th2 cell production.
Recovering Sparse Graphs

We construct a fixed parameter algorithm parameterized by d and k that takes as an input a graph G' obtained from a d-degenerate graph G by complementing on at most k arbitrary subsets of the vertex set of G and outputs a graph H such that G and H agree on all but f(d,k) vertices. Our work is motivated by the first order model checking in graph classes that are first order interpretable in classes of sparse graphs. We derive as a corollary that if G is a graph class with bounded expansion, then the first order model checking is fixed parameter tractable in the class of all graphs that can obtained from a graph G in G by complementing on at most k arbitrary subsets of the vertex set of G; this implies an earlier result that the first order model checking is fixed parameter tractable in graph classes interpretable in classes of graphs with bounded maximum degree.
High School Clubs Participation and Future Supervisory Status

This article examines the relationship between high school clubs participation and the probability that a worker will become a supervisor and the types of responsibility she will have, using the National Longitudinal Surveys of Youth 1979 dataset. While other articles have tried to explain what affects a worker's probability of being a supervisor, this article focuses on the impact of participation in extracurricular activities during high school. Both probit and household fixed effects estimates show that clubs participation raises the probability that an individual will be a supervisor and have high‐level supervisory responsibilities.
Comparing Real Wage Rates

A real wage rate is a nominal wage rate divided by the price of a good and is a transparent measure of how much of the good an hour of work buys. It provides an important indicator of the living standards of workers, and also of the productivity of workers. In this paper I set out the conceptual basis for such measures, provide some historical examples, and then provide my own preliminary analysis of a decade long project designed to measure the wages of workers doing the same job in over 60 countries – workers at McDonald’s restaurants. The results demonstrate that the wage rates of workers using the same skills and doing the same jobs differ by as much as 10 to 1, and that these gaps declined over the period 2000-2007, but with much less progress since the Great Recession.