LLukas22/scidocs huggingface dataset:
Deep Metric Learning for Visual Understanding: An Overview of Recent Advances

Metric learning aims to learn a distance function to measure the similarity of samples, which plays an important role in many visual understanding applications. Generally, the optimal similarity functions for different visual understanding tasks are task specific because the distributions for data used in different tasks are usually different. It is generally believed that learning a metric from training data can obtain more encouraging performances than handcrafted metrics [1]-[3], e.g., the Euclidean and cosine distances. A variety of metric learning methods have been proposed in the literature [2]-[5], and many of them have been successfully employed in visual understanding tasks such as face recognition [6], [7], image classification [2], [3], visual search [8], [9], visual tracking [10], [11], person reidentification [12], cross-modal matching [13], image set classification [14], and image-based geolocalization [15]-[17].
Are there disadvantaged clienteles in mutual funds ?

This paper studies the flow-performance relationship of three different investor groups in mutual funds: Households, financial corporations, and insurance companies and pension funds, establishing the following findings: Financial corporations have a strong tendency to chase past performance and also hold an increased share in the top performing funds. Insurance companies and pension funds show some evidence of performance chasing, but are underrepresented in the best performing funds. Households chase performance, but they are also subject to status quo bias in their flows. Regarding investor composition the worst performing funds show no significant difference in their investor structure when compared to funds with average performance.
Visualization support for interactive query refinement

It has been well documented that web searchers havedifficulties crafting queries to fulfill their information needs. In this work, we use a concept knowledge base generated from the ACM Computing Classification System to generate a query space that represents the query terms in relation to the concepts they describe and the other terms that are related to these concepts. A visual representation of this query space allows the user to interpret the relationships between their query terms and the query space. Interactive queryrefinement within this visual representation takes advantage of the userýs visual information processing abilities, and allows the user to choose terms that accurately represent their information need. A preview of the search results from Google provides the user with an indication of the current state of their query refinement process. This work allows the user to take an active role in the information retrieval process, supporting the fundamental shift from information retrieval systems to information retrieval support systems.
Categories of digital investigation analysis techniques based on the computer history model

Several digital forensic frameworks have been proposed, yet no conclusions have been reached about which are more appropriate. This is partly because each framework may work well for different types of investigations, but it hasn’t been shown if any are sufficient for all types of investigations. To address this problem, this work uses amodel based on the history of a computer to define categories and classes of analysis techniques. The model is more lower-level than existing frameworks and the categories and classes of analysis techniques that are defined support the existing higher-level frameworks. Therefore, they can be used to more clearly compare the frameworks. Proofs can be given to show the completeness of the analysis techniques and therefore the completeness of the frameworks can also be addressed. a 2006 DFRWS. Published by Elsevier Ltd. All rights reserved.
Refashioning Ben Jonson: Gender, Politics, and the Jonsonian Canon

Acknowledgements Introduction: Refashioning Ben Jonson Kate Chedgzoy, Julie Sanders & Susan Wiseman Jonson's 'Comicall Satires' and the Art of Courtly Compliment Janet Clare 'Satyres, That Gird and Fart at the Time':Poetaster and the Essex Rebellion Tom Cain Sejanus: Ethics and Politics in the Early Reign of James Robert C.Evans Defacing the Carcass: Anne of Denmark and Jonson'sThe Masque of Blackness Clare McManus The Lone Wolf: Jonson's Epistle toVolpone Richard Dutton Making and Buying: Ben Jonson and the Commercial Theatre Audience Kate McLuskie Hell for Lovers: Shades of Adultery in The Devil is an Ass Helen Ostovich Print, Popular Culture, Consumption, and Commodity in The Staple of News Julie Sanders The Eccho of Uncertainties: Jonson, Classical Drama, and the English Civil War Susan Wiseman
Efficacy of photodynamic therapy combined with minocycline for treatment of moderate to severe facial acne vulgaris and influence on quality of life

BACKGROUND
Acne vulgaris is a prevalent skin disorder impairing both physical and psychosocial health. This study was designed to investigate the effectiveness of photodynamic therapy (PDT) combined with minocycline in moderate to severe facial acne and influence on quality of life (QOL).


METHODS
Ninety-five patients with moderate to severe facial acne (Investigator Global Assessment [IGA] score 3-4) were randomly treated with PDT and minocycline (n = 48) or minocycline alone (n = 47). All patients took minocycline hydrochloride 100 mg/d for 4 weeks, whereas patients in the minocycline plus PDT group also received 4 times PDT treatment 1 week apart. IGA score, lesion counts, Dermatology Life Quality Index (DLQI), and safety evaluation were performed before treatment and at 2, 4, 6, and 8 weeks after enrolment.


RESULTS
There were no statistically significant differences in characteristics between 2 treatment groups at baseline. Minocycline plus PDT treatment led to a greater mean percentage reduction from baseline in lesion counts versus minocycline alone at 8 weeks for both inflammatory (-74.4% vs -53.3%; P < .001) and noninflammatory lesions (-61.7% vs -42.4%; P < .001). More patients treated with minocycline plus PDT achieved IGA score <2 at study end (week 8: 30/48 vs 20/47; P < .05). Patients treated with minocycline plus PDT got significant lower DLQI at 8 weeks (4.4 vs 6.3; P < .001). Adverse events were mild and manageable.


CONCLUSIONS
Compared with minocycline alone, the combination of PDT with minocycline significantly improved clinical efficacy and QOL in moderate to severe facial acne patients.
Segmentation of Color Image Using EM algorithm in HSV Color Space

This paper presents a new unsupervised method based on the Expectation-Maximization (EM) algorithm that we apply for color image segmentation. The method firstly Convert Image from RGB Color Space to HSV Color Space; Secondly we make use of a model of mixture K Gaussians, the Expectation Maximization (EM) formula is used to estimate the parameters of the Gaussian Mixture Model (GMM), which the desired number of partitions and fits the image histogram using a mixture of Gaussian distributions and provides a classified image; Thirdly, those pixels that have similar features will be regarded a group; Finally, for each group we segment pixels again according to their positions and we can get segmentation regions of the image. Experiment shows this method has better segmentation performance. The results of our methods are separately segmented and their combination allows the color image to be eventually partitioned.
Parathyroidectomy eliminates arrhythmic risk in primary hyperparathyroidism, as evaluated by exercise test.

OBJECTIVE
To investigate whether parathyroidectomy (PTx) reverses risk factors for arrhythmias related to the QT dynamic changes evaluated during bicycle ergometry exercise test (ET).


METHODS
Twenty-four postmenopausal women with primary hyperparathyroidism (PHPT) (mean age 60.08.4 years) and 30 sex- and age-matched controls underwent ET, echocardiography, and biochemical evaluation. The following stages were considered during ET: rest, peak exercise, and recovery. The patients were randomized to two groups: 12 underwent PTx (group A) and 12 were followed-up conservatively (group B). After 6 months, the patients were studied again.


RESULTS
Groups A and B showed no differences in mean baseline biochemical values, echocardiographic parameters, and QTC interval. PHPT patients showed an increased occurrence of ventricular premature beats (VPBS) during ET compared with controls (37.0 vs 6.6%, P=0.03). Serum calcium level was a predictor of VPBS (P=0.05). Mean value of QTC was in the normal range at baseline (Group A: 401±16.9; group B: 402.25±13.5 ms) but significantly lower than controls (417.8±25.1 ms, P<0.01). A negative correlation was found between QTc and calcium values (P=0.03). Physiological reduction of QTc interval from rest to peak exercise was not observed in PHPT patients before surgery. After PTx, group A had a significant reduction in VPBs compared with baseline (at baseline, 5 of 12 vs none of 12 patients after PTx, P=0.03) and a restored normal QT adaptation during ET. Group B showed no significant changes after a 6-month period.


CONCLUSIONS
PTx reduces the occurrence of VPBs and restored the QTc adaptation during ET.
Carving up word meaning: Portioning and grinding☆

Two eye-tracking experiments investigated the processing of mass nouns used as count nouns and count nouns used as mass nouns. Following Copestake and Briscoe (1995), the basic or underived sense of a word was treated as the input to a derivational rule (“grinding” or “portioning”) which produced the derived sense as output. It was hypothesized that in the absence of biasing evidence readers would immediately assign the underived sense, resulting in difficulty if this sense proved to be incorrect. In Experiment 1, which examined the portioning of mass nouns (as in She wanted beers), a small and early penalty was observed on the target noun for mass nouns appearing in a count noun context. In Experiment 2, a much larger but later appearing penalty was observed for count nouns appearing in a mass noun context (as in She wanted banana). The results are taken to support the hypothesis of immediate commitment to the underived sense of polysemous words when the two senses are related by a derivational rule and they are contrasted with the processing profile observed for other types of polysemous words. Portioning and grinding 3 Introduction “Clam or Cod?” she repeated. “A clam for supper? a cold clam; is that what you mean, Mrs. Hussey?” says I; “but that’s a rather cold and clammy reception in the winter time, ain’t it, Mrs. Hussey?” But being in a great hurry to resume scolding the man in the purple shirt, who was waiting for it in the entry, and seeming to hear nothing but the word “clam,” Mrs. Hussey hurried towards an open door leading to the kitchen, and bawling out “clam for two,”
Global Diffusion of the Internet XI: Internet Diffusion and Its Determinants in South Africa: The First Decade of Democracy (1994 - 2004) and Beyond

South Africa has one of the most sophisticated information and communication technology (ICT) infrastructures in Africa, and was one of the early adopters of the Internet on the continent. This paper describes a longitudinal analysis of Internet diffusion in South Africa over the period 1994 to 2004 by making use of the Global Diffusion of the Internet (GDI) framework. It also analyses the determinants of further diffusion. The analysis shows that in 2004, at the end of its first decade of democracy, less than 10 percent of the population accessed the Internet despite its relatively wide geographic dispersion. Across the education, commercial, health, and public sectors the Internet had been largely embraced, with potential for further diffusion. The underlying national Internet connectivity infrastructure was well established. Strong competition existed between Internet service providers despite a monopoly on fixed-line telecommunications provision for much of the period. The Internet was being used for sophisticated applications in several sectors. The overall analysis reflected South Africa’s reputation as having one of the most developed ICT sectors in Africa. The findings are perhaps also a reflection of its status as a middle-income developing country. After major growth in the 1990s, from 2000 to 2004 growth declined significantly. Reasons identified included the monopoly telecommunications environment over much of the period, restrictive regulation, delayed implementation of policies, and the socioeconomic divide in the nation. Telecommunications policy directives announced at the end of 2004 helped in reversing the trend of stagnation that had set in.
Learning User and Product Distributed Representations Using a Sequence Model for Sentiment Analysis

In product reviews, it is observed that the distribution of polarity ratings over reviews written by different users or evaluated based on different products are often skewed in the real world. As such, incorporating user and product information would be helpful for the task of sentiment classification of reviews. However, existing approaches ignored the temporal nature of reviews posted by the same user or evaluated on the same product. We argue that the temporal relations of reviews might be potentially useful for learning user and product embedding and thus propose employing a sequence model to embed these temporal relations into user and product representations so as to improve the performance of document-level sentiment analysis. Specifically, we first learn a distributed representation of each review by a one-dimensional convolutional neural network. Then, taking these representations as pretrained vectors, we use a recurrent neural network with gated recurrent units to learn distributed representations of users and products. Finally, we feed the user, product and review representations into a machine learning classifier for sentiment classification. Our approach has been evaluated on three large-scale review datasets from the IMDB and Yelp. Experimental results show that: (1) sequence modeling for the purposes of distributed user and product representation learning can improve the performance of document-level sentiment classification; (2) the proposed approach achieves state-of-the-art results on these benchmark datasets.
Home health and informal care utilization and costs over time in Alzheimer's disease.

OBJECTIVES
To (1) compare home health and informal (unpaid) services utilization among patients with Alzheimer's disease (AD), (2) examine longitudinal changes in services use, and (3) estimate possible interdependence of home health and informal care utilization.


METHODS
The sample is drawn from the Predictors Study, a large, multicenter cohort of patients with probable AD, prospectively followed annually for up to 7 years in three university-based AD centers. Bivariate probit models estimated the effects of patient characteristics on home health and informal care utilization.


RESULTS
A large majority of the patients (80.6%) received informal care with a smaller proportion (18.6%) receiving home health services. Home health services utilization increased from 9.9% at baseline to 34.5% in year 4. Among users, number of days that services were provided in three-month recall increased from 21.9 to 56 days over time. Home health services utilization was significantly associated with function, depressive symptoms, being female, and not living with a spouse. Informal care utilization was significantly associated with cognition, function, comorbidities, and living with a spouse or child.


CONCLUSIONS
Home health and informal care utilization relate differently to patient characteristics. Utilization of home health care or informal care was not influenced by utilization of the other.
Pretransplant frailty is associated with decreased survival after lung transplantation.

BACKGROUND
Frailty is a condition of increased vulnerability to adverse health outcomes. Although frailty is an important prognostic factor for many conditions, the effect of frailty on mortality in lung transplantation is unknown. Our objective was to assess the association of frailty with survival after lung transplantation.


METHODS
We performed a retrospective cohort analysis of all adult lung transplant recipients at our institution between 2002 and 2013. Frailty was assessed using the frailty deficit index, a validated instrument that assesses cumulative deficits for up to 32 impairments and measures the proportion of deficits present (with frailty defined as >0.25). We examined the association between frailty and survival, adjusting for age, sex, and bilateral (vs single) lung transplant using Cox proportional hazard regression models.


RESULTS
Among 144 lung transplant patients, 102 (71%) completed self-reported questionnaires necessary to assess the frailty deficit index within 1 year before lung transplantation. Frail patients (n = 46) had an increased risk of death, with an adjusted hazard ratio (HR) of 2.24 (95% confidence interval [CI], 1.22-4.19; p = 0.0089). Frailty was not associated with an increased duration of mechanical ventilation (median, 2 vs 2 days; p = 0.26), intensive care unit length of stay (median, 7.5 vs 6 days; p = 0.36) or hospital length of stay after transplantation (median, 14 vs 10.5 days; p = 0.26).


CONCLUSIONS
Pre-transplant frailty was independently associated with decreased survival after lung transplantation. Pre-transplant frailty may represent an important area for intervention to improve candidate selection and lung transplant outcomes.
Molecular Properties of Ibuprofen and Its Solid Dispersions with Eudragit RL100 Studied by Solid-State Nuclear Magnetic Resonance

The aim of this study was to investigate, at a molecular level, the structural and dynamic properties of the acidic and sodium salt forms of ibuprofen and their solid dispersions with Eudragit RL-100, obtained by two different preparation methods (physical mixtures and coevaporates), which may affect the release properties of these drugs in their dispersed forms. 1H and 13C high-resolution solid-state nuclear magnetic resonance techniques, including single-pulse excitation magic-angle spinning, cross-polarization magic-angle spinning, and other selective 1D spectra, as well as more advanced 2D techniques Frequency Switched Lee-Goldburg HETeronuclear CORrelation (FSLG-HETCOR) and Magic Angle Spinning -J- Heteronuclear Multiple-Quantum Coherence (MAS-J-HMQC) and relaxation time measurements were used. A full assignment of 13C resonances and precise 1H chemical shift values were achieved for the first time for the two forms of ibuprofen that showed very different interconformational dynamic behavior; drug–polymer interactions were observed and characterized in the coevaporates of the two forms but were much stronger for the acidic form. A combined analysis of several high-resolution solid-state nuclear magnetic resonance experiments allowed the investigation of the structural and dynamic properties of the pure drugs and of the solid dispersions with the polymer, as well as of the degree of mixing between drug and polymer and of the chemical nature of their interaction. Such information could be related to the in vitro drug release profiles observed for the tested coevaporates.
Neutrophilic Skin Lesions in Autoimmune Connective Tissue Diseases

The pathophysiology of neutrophilic dermatoses (NDs) and autoimmune connective tissue diseases (AICTDs) is incompletely understood. The association between NDs and AICTDs is rare; recently, however, a distinctive subset of cutaneous lupus erythematosus (LE, the prototypical AICTD) with neutrophilic histological features has been proposed to be included in the spectrum of lupus. The aim of our study was to test the validity of such a classification. We conducted a monocentric retrospective study of 7028 AICTDs patients. Among these 7028 patients, a skin biopsy was performed in 932 cases with mainly neutrophilic infiltrate on histology in 9 cases. Combining our 9 cases and an exhaustive literature review, pyoderma gangrenosum, Sweet syndrome (n = 49), Sweet-like ND (n = 13), neutrophilic urticarial dermatosis (n = 6), palisaded neutrophilic granulomatous dermatitis (n = 12), and histiocytoid neutrophilic dermatitis (n = 2) were likely to occur both in AICTDs and autoinflammatory diseases. Other NDs were specifically encountered in AICTDs: bullous LE (n = 71), amicrobial pustulosis of the folds (n = 28), autoimmunity-related ND (n = 24), ND resembling erythema gyratum repens (n = 1), and neutrophilic annular erythema (n = 1). The improvement of AICTDS neutrophilic lesions under neutrophil targeting therapy suggests possible common physiopathological pathways between NDs and AICTDs.
Antagonistic control of multi-DOF joint by using the actuator with non-linear elasticity

This paper deals with mechanical stiffness control of multi-DOF joint. It fundamentally mimics the skeleto-muscular system of human articulation, in which at least two muscles cooperatively handle one DOF under their antagonistic action. In the first part of the paper one describes a novel actuator called ANLES (actuator with non-linear elastic system) that mimics a skeletal muscle in the sense of having a non-linear elasticity. Next one introduces a basic formula for controlling stiffness of the joint as well as its angles using multiple ANLESes. A new mechanism for the wrist joint having three DOF is proposed on the practical feasibility base, in which only four ANLESes with one additional DC-motor are used to control the stiffness of the three DOF wrist. It follows the simulation analysis for evaluating the controllability of the stiffness. It also shows the one DOF wrist joint controlled by two ANLESes
CoSelect: Feature Selection with Instance Selection for Social Media Data

Feature selection is widely used in preparing highdimensional data for effective data mining. Attributevalue data in traditional feature selection differs from social media data, although both can be large-scale. Social media data is inherently not independent and identically distributed (i.i.d.), but linked. Furthermore, there is a lot of noise. The quality of social media data can vary drastically. These unique properties present challenges as well as opportunities for feature selection. Motivated by these differences, we propose a novel feature selection framework, CoSelect, for social media data. In particular, CoSelect can exploit link information by applying social correlation theories, incorporate instance selection with feature selection, and select relevant instances and features simultaneously. Experimental results on real-world social media datasets demonstrate the effectiveness of our proposed framework and its potential in mining social media data.
Implant migration into maxillary sinus: description of two asymptomatic cases

Rehabilitation of edentulous jaws with dental implants has become a usual practice around the world. A very low incidence of complications is associated with this therapy. One of them is migration of dental implants into maxillary sinus. Foreign bodies inside maxillary sinus should be removed because they can cause sinusitis, but if any symptoms are present, preservation alone can be indicated. Implant removal and bone reconstruction on the same procedure reduce treatment time and allow rehabilitation with implant-supported prosthesis. In the present study, we report two cases of dental implants displaced into maxillary sinus that receive different treatment. In one of them, implant removal and sinus lift were carried out on same procedure while on the other preservation alone was advocated. Both treatment modalities treatments allowed installation of implant-supported prosthesis.