LLukas22/scidocs huggingface dataset:
Treatment outcomes of saddle nose correction.

IMPORTANCE
Many valuable classification schemes for saddle nose have been suggested that integrate clinical deformity and treatment; however, there is no consensus regarding the most suitable classification and surgical method for saddle nose correction.


OBJECTIVES
To present clinical characteristics and treatment outcome of saddle nose deformity and to propose a modified classification system to better characterize the variety of different saddle nose deformities.


DESIGN, SETTING, AND PARTICIPANTS
The retrospective study included 91 patients who underwent rhinoplasty for correction of saddle nose from April 1, 2003, through December 31, 2011, with a minimum follow-up of 8 months. Saddle nose was classified into 4 types according to a modified classification.


MAIN OUTCOME AND MEASURE
Aesthetic outcomes were classified as excellent, good, fair, or poor.


RESULTS
Patients underwent minor cosmetic concealment by dorsal augmentation (n = 8) or major septal reconstruction combined with dorsal augmentation (n = 83). Autologous costal cartilages were used in 40 patients (44%), and homologous costal cartilages were used in 5 patients (6%). According to postoperative assessment, 29 patients had excellent, 42 patients had good, 18 patients had fair, and 2 patients had poor aesthetic outcomes. No statistical difference in surgical outcome according to saddle nose classification was observed. Eight patients underwent revision rhinoplasty, owing to recurrence of saddle, wound infection, or warping of the costal cartilage for dorsal augmentation.


CONCLUSIONS
We introduce a modified saddle nose classification scheme that is simpler and better able to characterize different deformities. Among 91 patients with saddle nose, 20 (22%) had unsuccessful outcomes (fair or poor) and 8 (9%) underwent subsequent revision rhinoplasty. Thus, management of saddle nose deformities remains challenging.


LEVEL OF EVIDENCE
4.
Sustained virological response with telaprevir in 1,078 patients with advanced hepatitis C: the international telaprevir access program.

BACKGROUND & AIMS
There is little information regarding the extent to which difficult to cure patients with advanced liver fibrosis, due to hepatitis C virus genotype-1 (HCV-1) can successfully and safely be treated with triple therapy with telaprevir (TVR), pegylated interferon alpha (P) and ribavirin (R). In the TVR early access program HEP3002 we aimed to explore treatment safety and efficacy, and identify predictors of sustained virological response at week 24 (SVR24).


METHODS
1078 patients with bridging fibrosis (n=552) or cirrhosis (n=526) diagnosed by either liver biopsy or non-invasive markers, with compensated bone marrow (neutrophils >1500/mm(3), Hb >12/13 g/dl) and liver function (Albumin >3.3g/dl, Platelets >90,000/ml) received TVR PR for 12 weeks, followed by a PR tail according to label.


RESULTS
Overall, 614 (57%) achieved SVR24 by intention-to-treat analysis. The SVR24 rate was 68% in 221 treatment naïve patients (62.8% F4), 72% in 356 prior relapsers (64.4% F4), 55% in 139 partial responders (53.2% F4), and 34% in 294 null responders (28.6% F4). The SVR24 rate to response-guided therapy (24 weeks treatment duration if undetectable viremia at weeks 4 and 12) was 84% in 222 naïve/relapser F3 patients. Independent predictors of response were: (A) F3 (odds ratio (OR)=1.51, 95% CI 1.31-2.00, p=0.005), (B) subtype 1b (OR=1.63, 95% CI 1.18-2.24, p=0.0029), (C) alpha-fetoprotein <10 ng/ml (OR=2.50, 95% CI 1.87-3.36, p<0.0001) and (D) any prior response other than null (OR=3.29, 95% CI 2.40-4.52, p<0.0001). SVR24 rose for patients who had more of these predictive factors: 6/32 (19%) for none, 38/139 (27%) for 1, 129/260 (50%) for 2, 202/329 (61%) for 3, and 194/235 (83%) for 4 factors. Grade 2-4 treatment-related adverse events (AE) were experienced by 719 (67%) patients; 169 (16%) discontinued therapy for AE and 7 (0.6%) died during the PR tail.


CONCLUSIONS
Naïve and experienced patients with advanced fibrosis or cirrhosis due to HCV-1 who have compensated bone marrow and liver function, can effectively and safely be treated by TVR triple therapy. Baseline predictors of outcome have been identified to optimize pre-treatment counselling.
Probabilistic UHF RFID tag pose estimation with multiple antennas and a multipath RF propagation model

We present a novel particle filter implementation for estimating the pose of tags in the environment with respect to an RFID-equipped robot. This particle filter combines signals from a specially designed RFID antenna system with odometry and an RFID signal propagation model. Our model includes antenna characteristics, direct-path RF propagation, and multipath RF propagation. We first describe a novel 6-antenna RFID sensor system that provides the robot with a 360-degree view of the tags in its environment. We then present the results of real-world evaluation where RFID-inferred tag position is compared with ground truth data from a laser range-finder. In our experiments the system is shown to estimate the pose of UHF RFID tags in a real-world environment without requiring a priori training or map-building. The system exhibits 6.1 deg mean bearing error and 0.69 m mean range error over robot to tag distances of over 4 m in an environment with significant multipath. The RFID system provides the ability to uniquely identify specific tagged locations and objects, and to discriminate among multiple tagged objects in the field at the same time, which are important capabilities that a laser range-finder does not provide. We expect that this new type of multiple-antenna RFID system, including particle filters that incorporate RF signal propagation models, will prove to be a valuable sensor for mobile robots operating in semi-structured environments where RFID tags are present.
Credit Default Mining Using Combined Machine Learning and Heuristic Approach

Predicting potential credit default accounts in advance is challenging. Traditional statistical techniques typically cannot handle large amounts of data and the dynamic nature of fraud and humans. To tackle this problem, recent research has focused on artificial and computational intelligence based approaches. In this work, we present and validate a heuristic approach to mine potential default accounts in advance where a risk probability is precomputed from all previous data and the risk probability for recent transactions are computed as soon they happen. Beside our heuristic approach, we also apply a recently proposed machine learning approach that has not been applied previously on our targeted dataset [15]. As a result, we find that these applied approaches outperform existing state-of-the-art
Technical Demonstration on Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes

We propose a framework for automatic modeling, detection, and tracking of 3D objects with a Kinect. The detection part is mainly based on the recent template-based LINEMOD approach [1] for object detection. We show how to build the templates automatically from 3D models, and how to estimate the 6 degrees-of-freedom pose accurately and in real-time. The pose estimation and the color information allow us to check the detection hypotheses and improves the correct detection rate by 13% with respect to the original LINEMOD. These many improvements make our framework suitable for object manipulation in Robotics applications. Moreover we propose a new dataset made of 15 registered, 1100+ frame video sequences of 15 various objects for the evaluation of future competing methods. Fig. 1. 15 different texture-less 3D objects are simultaneously detected with our approach under different poses on heavy cluttered background with partial occlusion. Each detected object is augmented with its 3D model. We also show the corresponding coordinate systems.
Traveling salesman problem heuristics: Leading methods, implementations and latest advances

0377-2217/$ see front matter 2010 Elsevier B.V. A doi:10.1016/j.ejor.2010.09.010 ⇑ Corresponding author. Tel.: +1 662 915 5519. E-mail addresses: crego@bus.olemiss.edu (C. R (D. Gamboa), fred.glover@colorado.edu (F. Glover), colin.j.osterman@navy.mil (C. Osterman). Heuristics for the traveling salesman problem (TSP) have made remarkable advances in recent years. We survey the leading methods and the special components responsible for their successful implementations, together with an experimental analysis of computational tests on a challenging and diverse set of symmetric and asymmetric TSP benchmark problems. The foremost algorithms are represented by two families, deriving from the Lin–Kernighan (LK) method and the stem-and-cycle (S&C) method. We show how these families can be conveniently viewed within a common ejection chain framework which sheds light on their similarities and differences, and gives clues about the nature of potential enhancements to today’s best methods that may provide additional gains in solving large and difficult TSPs. 2010 Elsevier B.V. All rights reserved.
Rotor to stator contacts in turbomachines. Review and application

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Rotor to stator contacts in turbomachines. Review and application Georges Jacquet-Richardet, Mohamed Torkhani, Patrice Cartraud, Fabrice Thouverez, Thouraya Nouri-Baranger, Mathieu Herran, Claude Gibert, Sébastien Baguet, Patricio Almeida, Loïc Peletan
Simulation versus Narrative :

Academic video game studies have known an incredible development during the last couple of years. Slowly, the academic interest shifted from the early do-games-induceviolent-behaviors studies towards analyses that acknowledge the relevance of this new medium. Several international conferences on game studies took place in 2001, plus the publication of Game Studies, the first peer-reviewed on-line journal on the field. In 2002, the number of conferences and workshops kept steadily growing. After an early start as a subset of digital text studies, game studies are finding their own academic space. Probably the most promising change comes from a new generation of researchers who grew up with computer games and now are bringing to this new field both their passion and expertise on this form of entertainment.
A new anatomic locking plate for the treatment of posterolateral tibial plateau fractures

BACKGROUND
Posterolateral tibial plateau fractures have become more common, and their treatment is of great importance to knee function. Additionally, there is no available literature detailing specialized anatomic locking plate for tibial plateau fractures. Therefore, the aim of the study was to evaluate the safety and clinical efficacy of an innovative anatomic locking plate for treatment of posterolateral tibial plateau fractures.


METHODS
Between March 2014 and January 2016, 12 patients with posterolateral tibial plateau fracture underwent surgery with the anatomic locking plate for the posterolateral tibial plateau via the posterolateral approach. Relevant operational data for clinical evaluation were collected.


RESULTS
The mean follow-up time was 26 months, and the mean age was 35 years for 12 patients. The mean interval between the time of injury and the surgery was 6.1 days. Radiological fracture union was evident in all patients at 12 weeks. During surgery, the blood loss ranged from 100 to 300 mL, and the duration ranged from 55 to 90 min. The Tegner-Lysholm functional score ranged from 85 to 97 at the final follow-up. Moreover, the final Rasmussen functional score ranged from 25 to 29, and Rasmussen anatomical score ranged from 13 to 18.


CONCLUSIONS
The newly designed anatomic locking plate for the posterolateral tibial plateau provided adequate fixation along the posterolateral tibial plateau. It proved to be safe and effective in a small-sample-size population (12 patients) during a 12- to 34-month follow-up.
Reduction in hospital-associated methicillin-resistant Staphylococcus aureus and vancomycin-resistant Enterococcus with daily chlorhexidine gluconate bathing for medical inpatients.

BACKGROUND
Daily bathing with chlorhexidine gluconate (CHG) is increasingly used in intensive care units to prevent hospital-associated infections, but limited evidence exists for noncritical care settings.


METHODS
A prospective crossover study was conducted on 4 medical inpatient units in an urban, academic Canadian hospital from May 1, 2014-August 10, 2015. Intervention units used CHG over a 7-month period, including a 1-month wash-in phase, while control units used nonmedicated soap and water bathing. Rates of hospital-associated methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Enterococcus (VRE) colonization or infection were the primary end point. Hospital-associated S. aureus were investigated for CHG resistance with a qacA/B and smr polymerase chain reaction (PCR) and agar dilution.


RESULTS
Compliance with daily CHG bathing was 58%. Hospital-associated MRSA and VRE was decreased by 55% (5.1 vs 11.4 cases per 10,000 inpatient days, P = .04) and 36% (23.2 vs 36.0 cases per 10,000 inpatient days, P = .03), respectively, compared with control cohorts. There was no significant difference in rates of hospital-associated Clostridium difficile. Chlorhexidine resistance testing identified 1 isolate with an elevated minimum inhibitory concentration (8 µg/mL), but it was PCR negative.


CONCLUSIONS
This prospective pragmatic study to assess daily bathing for CHG on inpatient medical units was effective in reducing hospital-associated MRSA and VRE. A critical component of CHG bathing on medical units is sustained and appropriate application, which can be a challenge to accurately assess and needs to be considered before systematic implementation.
ect of RenaGel B , a non-absorbed , calcium-and aluminium-free phosphate binder , on serum phosphorus , calcium , and intact parathyroid hormone in end-stage renal disease patients

hormone (iPTH) levels from 292 pg/ml to 395 pg/ml. iPTH fell to 283 pg/ml after 6 weeks of RenaGel Background. Control of dietary phosphate absorption in end-stage renal disease patients is essential to prevent treatment despite a persistently lower serum calcium. RenaGel treatment also reduced serum total and LDL the deleterious sequelae of phosphorus retention. Efficacy of currently available calciumand aluminiumcholesterol by 25 mg/dl (0.65 mmol/l ) and 23 mg/dl (0.59 mmol/l ) respectively. containing phosphate binders is constrained by the side-effects associated with the absorption of calcium Conclusions. RenaGel appears to be an effective phosphate binder free of calcium and aluminium. and aluminium. The current study examined the efficacy of RenaGel, a calciumand aluminium-free, polyPhosphorus control with two to four RenaGel capsules per meal appears to result in comparable phosphorus meric phosphate binder, in end-stage renal disease patients. lowering seen with calciumor aluminium-based phosphate binders. RenaGel may offer an alternative for Methods. Administration of calciumor aluminiumcontaining phosphate binders ceased during a 2-week the control of phosphorus retention in end-stage renal disease patients. washout period. RenaGel, at starting doses of one, two, or three 500-mg capsules three times per day with meals, was administered for 8 weeks. RenaGel dose
Hyperprolactinemia in antipsychotic-naive patients with first-episode psychosis.

BACKGROUND
Hyperprolactinemia is frequent in patients with schizophrenic psychoses. It is usually regarded as an adverse effect of antipsychotics but has recently also been shown in patients without antipsychotic medication. Our objective was to test whether hyperprolactinemia occurs in antipsychotic-naive first-episode patients (FEPs).


METHOD
In the framework of the European First Episode Schizophrenia Trial (EUFEST), 249 out of 498 FEPs were eligible for this study, of whom 74 were antipsychotic naive. All patients were investigated regarding their serum prolactin levels with immunoassays standardized against the 3rd International Reference Standard 84/500.


RESULTS
Twenty-nine (39%) of the 74 antipsychotic-naive patients showed hyperprolactinemia not explained by any other reason, 11 (50%) of 22 women and 18 (35%) of 52 men.


CONCLUSIONS
Hyperprolactinemia may be present in patients with schizophrenic psychoses independent of antipsychotic medication. It might be stress induced. As enhanced prolactin can increase dopamine release through a feedback mechanism, this could contribute to explaining how stress can trigger the outbreak of psychosis.
Parental Alienation, Dsm-5, and ICD-11

Parental alienation is an important phenomenon that mental health professionals should know about and thoroughly understand, especially those who work with children, adolescents, divorced adults, and adults whose parents divorced when they were children. We define parental alienation as a mental condition in which a child—usually one whose parents are engaged in a highconflict divorce—allies himself or herself strongly with one parent (the preferred parent) and rejects a relationship with the other parent (the alienated parent) without legitimate justification. This
Fully Automatic Multi-Organ Segmentation Based on Multi-Boost Learning and Statistical Shape Model Search

In this paper, an automatic multi-organ segmentation based on multi-boost learning and statistical shape model search was proposed. First, simple but robust Multi-Boost Classifier was trained to hierarchically locate and pre-segment multiple organs. To ensure the generalization ability of the classifier relative location information between organs, organ and whole body is exploited. Left lung and right lung are first localized and pre-segmented, then liver and spleen are detected upon its location in whole body and its relative location to lungs, kidney is finally detected upon the features of relative location to liver and left lung. Second, shape and appearance models are constructed for model fitting. The final refinement delineation is performed by best point searching guided by appearance profile classifier and is constrained with multi-boost classified probabilities, intensity and gradient features. The method was tested on 30 unseen CT and 30 unseen enhanced CT (CTce) datasets from ISBI 2015 VISCERAL challenge. The results demonstrated that the multi-boost learning can be used to locate multi-organ robustly and segment lung and kidney accurately. The liver and spleen segmentation based on statistical shape searching has shown good performance too. Copyright c © by the paper’s authors. Copying permitted only for private and academic purposes. In: O. Goksel (ed.): Proceedings of the VISCERAL Anatomy Grand Challenge at the 2015 IEEE International Symposium on Biomedical Imaging (ISBI), New York, NY, Apr 16, 2015 published at http://ceur-ws.org
Image specificity

For some images, descriptions written by multiple people are consistent with each other. But for other images, descriptions across people vary considerably. In other words, some images are specific - they elicit consistent descriptions from different people - while other images are ambiguous. Applications involving images and text can benefit from an understanding of which images are specific and which ones are ambiguous. For instance, consider text-based image retrieval. If a query description is moderately similar to the caption (or reference description) of an ambiguous image, that query may be considered a decent match to the image. But if the image is very specific, a moderate similarity between the query and the reference description may not be sufficient to retrieve the image. In this paper, we introduce the notion of image specificity. We present two mechanisms to measure specificity given multiple descriptions of an image: an automated measure and a measure that relies on human judgement. We analyze image specificity with respect to image content and properties to better understand what makes an image specific. We then train models to automatically predict the specificity of an image from image features alone without requiring textual descriptions of the image. Finally, we show that modeling image specificity leads to improvements in a text-based image retrieval application.
Botnets and Internet of Things Security

Recent distributed denial-of-service attacks demonstrate the high vulnerability of Internet of Things (IoT) systems and devices. Addressing this challenge will require scalable security solutions optimized for the IoT ecosystem.
Two secret sharing schemes based on Boolean operations

Traditional secret sharing schemes involve complex computation. A visual secret sharing (VSS) scheme decodes the secret without computation, but each shadow is m times as big as the original. Probabilistic VSS solved the computation complexity and space complexity problems at once. In this paper we propose a probabilistic (2, n) scheme for binary images and a deterministic (n, n) scheme for grayscale images. Both use simple Boolean operations and both have no pixel expansion. The (2, n) scheme provides a better contrast and significantly smaller recognized areas than other methods. The (n, n) scheme gives an exact reconstruction. 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
Computerized arm training improves the motor control of the severely affected arm after stroke: a single-blinded randomized trial in two centers.

BACKGROUND AND PURPOSE
To compare a computerized arm trainer (AT), allowing repetitive practice of passive and active bilateral forearm and wrist movement cycle, and electromyography-initiated electrical stimulation (ES) of the paretic wrist extensor in severely affected subacute stroke patients.


METHOD
A total of 44 patients, 4 to 8 weeks after stroke causing severe arm paresis (Fugl-Meyer Motor Score [FM, 0 to 66] <18), were randomly assigned to either AT or ES. All patients practiced 20 minutes every workday for 6 weeks. AT patients performed 800 repetitions per session with the robot and ES patients performed 60 to 80 wrist extensions per session. The primary outcome measure was the blindly assessed FM (0 to 66), and the secondary measures were the upper limb muscle power (Medical Research Council [MRC] sum, 0 to 45) and muscle tone (Ashworth score sum, 0 to 25), assessed at the beginning and end of treatment and at 3-month follow-up.


RESULTS
The AT group had a higher Barthel Index score at baseline, but the groups were otherwise homogenous. As expected, FM and MRC sum scores improved overtime in both groups but significantly more in the robot AT group. The initial Barthel Index score had no influence. In the robot AT group, FM score was 15 points higher at study end and 13 points higher at 3-month follow-up than the control ES group. MRC sum score was 15 points higher at study end and at 3-month follow-up compared with the control ES group. Muscle tone remained unchanged, and no side effects occurred.


CONCLUSIONS
The computerized active arm training produced a superior improvement in upper limb motor control and power compared with ES in severely affected stroke patients. This is probably attributable to the greater number of repetitions and the bilateral approach.