LLukas22/scidocs huggingface dataset:
Superficial musculoaponeurotic system elevation and fat graft reconstruction after superficial parotidectomy.

OBJECTIVE/HYPOTHESIS
Elevation of the superficial musculoaponeurotic system (SMAS) with or without fat graft interposition during superficial parotidectomy prevents a concave facial deformity and Frey's syndrome.


STUDY DESIGN
Retrospective, case-control study.


METHODS
Charts for 248 patients who underwent superficial parotidectomy were reviewed for pathologic, radiographic, clinical, and operative data. Sixteen patients who underwent SMAS elevation and 34 patients who underwent SMAS elevation with fat graft interposition were included in two study groups. Nonreconstructed controls were randomly selected from a pool of patients who had unilateral, superficial parotidectomy and were matched based on pathologic specimen volume. Patients were surveyed for their postoperative symptoms.


RESULTS
Patients undergoing SMAS elevation alone (n = 16) compared with controls (n = 19) had greater facial symmetry (12% vs. 32%, P = .147) and a lower incidence of symptomatic Frey's syndrome (6.3% vs. 18.6%, P = .382). Patients undergoing SMAS elevation and fat graft interposition (n = 34) compared with controls (n = 38) had less facial asymmetry (9% vs. 39%, P = .002) and a lower incidence of symptomatic Frey's syndrome (6% vs. 28%, P = .04). Complications among the study and control groups were comparable.


CONCLUSIONS
Simultaneous reconstruction of a superficial parotidectomy defect using SMAS elevation with or without fat grafting may improve postoperative facial symmetry and decrease the incidence of symptomatic Frey's syndrome without increasing complications.
Abstracting Interactions Based on Message Sets

ing Interactions Based on Message Sets Svend Frr 1 and Gul Agha 2. 1 Hewlett-Packard Laboratories, 1501 Page Mill Road, Palo Alto, CA 94303 2 University of Illinois, 1304 W. Springfield Avenue, Urbana, IL 61801 Abs t rac t . An important requirement of programming languages for distributed systems is to provide abstractions for coordination. A common type of coordination requires reactivity in response to arbitrary communication patterns. We have developed a communication model in which concurrent objects can be activated by sets of messages. Specifically, our model allows direct and abstract expression of common interaction patterns found in concurrent systems. For example, the model captures multiple clients that collectively invoke shared servers as a single activation. Furthermore, it supports definition of individual clients that concurrently invoke multiple servers and wait for subsets of the returned reply messages. Message sets are dynamically defined using conjunctive and disjunctive combinators that may depend o n the patterns of messages. The model subsumes existing models for multiRPC and multi-party synchronization within a single, uniform activation framework. 1 I n t r o d u c t i o n Distributed objects are often reactive, i.e. they carry out their actions in response to received response. Tradit ional object-oriented languages require one to one correspondence between response and a receive message: i.e. each response is caused by exactly one message. However, many coordination schemes involve object behaviors whose logical cause is a set of messages rather than a single message. For example, consider a transaction manager in a distributed database system. In order to commit a distributed transaction, the manager must coordinate the action taken at each site involved in the transaction. A two-phase commit protocol is a possible implementation of this coordination pattern. In carrying out a two-phase commit protocol, the manager first sends out a status inquiry to all the sites involved. In response to a status inquiry, each site sends a positive reply if it can commit the transaction; a site sends back a negative reply if it cannot commit the transaction. After sending out inquiries, the manager becomes a reactive object waiting for sites to reply. The logical structure of the manager is to react to a set of replies rather than a single reply: if a positive reply is received from all sites, the manager decides to commit the transaction; if a negative reply is received from any site, the manager must abort the transaction. In tradit ional object-oriented languages, the programmer must implement a response to a set of messages in terms of sequences of responses to single messages. * The reported work was carried out while the first author was affiliated with the University of Illinois. The current emaJl addresses are f rolund@hpl .hp. corn and agha@cs.uiue, edu
Current-sensing technique for current-mode controlled voltage regulator modules

This paper introduces an innovative current-sense technique for voltage regulator modules (VRMs). The proposed method is applied to a multiphase buck converter although the converter topology does not affect the accuracy or effectiveness of the proposed technique. A RC network is parallel connected with the buck converter low-side MOSFET and the voltage signal across the sense capacitor reconstructs the inductor current waveform. The RC technique benefits from all the advantages of the most popular current-sensing technique, the inductor DC resistance current-sense method, cutting off its main disadvantage. The sense network design is oriented to obtain high immunity to noise and a great dynamic in current-mode control by properly selecting the sense signal slop during Ton and Toff time slots. A laboratory prototype of a multiphase buck converter with current-mode control implementing the proposed current-sense method is described and experimental results are shown. & 2008 Elsevier Ltd. All rights reserved.
A Knowledge-Based Topic Modeling Approach for Automatic Topic Labeling

Probabilistic topic models, which aim to discover latent topics in text corpora define each document as a multinomial distributions over topics and each topic as a multinomial distributions over words. Although, humans can infer a proper label for each topic by looking at top representative words of the topic but, it is not applicable for machines. Automatic Topic Labeling techniques try to address the problem. The ultimate goal of topic labeling techniques are to assign interpretable labels for the learned topics. In this paper, we are taking concepts of ontology into consideration instead of words alone to improve the quality of generated labels for each topic. Our work is different in comparison with the previous efforts in this area, where topics are usually represented with a batch of selected words from topics. We have highlighted some aspects of our approach including: 1) we have incorporated ontology concepts with statistical topic modeling in a unified framework, where each topic is a multinomial probability distribution over the concepts and each concept is represented as a distribution over words; and 2) a topic labeling model according to the meaning of the concepts of the ontology included in the learned topics. The best topic labels are selected with respect to the semantic similarity of the concepts and their ontological categorizations. We demonstrate the effectiveness of considering ontological concepts as richer aspects between topics and words by comprehensive experiments on two different data sets. In another word, representing topics via ontological concepts shows an effective way for generating descriptive and representative labels for the discovered topics. Keywords—Topic modeling; topic labeling; statistical learning; ontologies; linked open data
Key Frame Extraction for Video Summarization Using DWT Wavelet Statistics

 Abstract— In the current information era, almost information are representing and processing in the forms of multimedia. Especially in video processing, numerous frames containing similar information are usually processed. This leads to unnecessary time consumptions, slow processing speed and complexity. Video summarization using key frames can facilitate to speed up video processing. In this paper, key frames extraction using wavelet statistics is discussed to use in video summarization. In extracting key frames, two consecutive frames are firstly DWT transformed and then the differences of the detail components of them are estimated. If different value of a consecutive pair is greater than threshold, the last frame of the pair is considered as a key frame. Experimental results are also discussed to represent the valid of the proposed method for video summarization.
When computers stand in the schoolhouse door

Classification algorithms can lead to biased decisions, so researchers are trying to identify such biases and root them out.
A randomized controlled trial of an appearance-focused intervention to prevent skin cancer.

BACKGROUND
Skin cancer represents a significant health threat with over 1.3 million diagnoses, 8000 melanoma deaths, and more than $1 billion spent annually for skin cancer healthcare in the US. Despite findings from laboratory, case-control, and prospective studies that indicate a link between youthful indoor tanning (IT) and skin cancer, IT is increasing among US youth. Appearance-focused interventions represent a promising method to counteract these trends.


METHODS
A total of 430 female indoor tanners were randomized into intervention or no intervention control conditions. Intervention participants received an appearance-focused booklet based on decision-theoretical models of health behavior. Outcome variables included self-reports of IT behavior and intentions, as well as measures of cognitive mediating variables.


RESULTS
Normative increases in springtime IT rates were significantly lower (ie, over 35%) at 6-month follow-up in intervention versus control participants with similar reductions in future intentions. Mediation analyses revealed 6 cognitive variables (IT attitudes, fashion attitudes, perceived susceptibility to skin cancer and skin damage, subjective norms, and image norms) that significantly mediated change in IT behavior.


CONCLUSIONS
The appearance-focused intervention demonstrated strong effects on IT behavior and intentions in young indoor tanners. Appearance-focused approaches to skin cancer prevention need to present alternative behaviors as well as alter IT attitudes. Mediational results provide guides for strengthening future appearance-focused interventions directed at behaviors that increase risk of skin cancer.
Cones of Matrices and Set-Functions and 0-1 Optimization

It has been recognized recently that to represent a polyhedron as the projection of a higher dimensional, but simpler, polyhedron, is a powerful tool in polyhedral combinatorics. We develop a general method to construct higher-dimensional polyhedra (or, in some cases, convex sets) whose projection approximates the convex hull of 0-1 valued solutions of a system of linear inequalities. An important feature of these approximations is that one can optimize any linear objective function over them in polynomial time. In the special case of the vertex packing polytope, we obtain a sequence of systems of inequalities, such that already the first system includes clique, odd hole, odd antihole, wheel, and orthogonality constraints. In particular, for perfect (and many other) graphs, this first system gives the vertex packing polytope. For various classes of graphs, including t-perfect graphs, it follows that the stable set polytope is the projection of a polytope with a polynomial number of facets. We also discuss an extension of the method, which establishes a connection with certain submodular functions and the Möbius function of a lattice. 1980 Mathematics subject classification: 05C35, 90C10, 90C27.
Effects of magnetized water application on soil and maize growth indices under different amounts of salt in the water

Application of low quality water for irrigation is compulsive in facing water scarcity. Use of a magnetic field is an approach to overcome this challenge. This study examined the impact of magnetic field technology on improving germination under water of different salinity levels. An experiment was conducted to determine the effects of saline water levels, i.e. (S1):0.5, (S2):2, (S3):4 and (S4):6 dS/m combined with magnetized technology (with or without) on maize growth. Thus, magnetic treatment was applied by passing the irrigation water through a 1,500 mT magnetic field at 3 litres per minute (lpm) flow rate. Some emergence indices, such as emergence index, emergence rate index (ERI) and mean emergence time, were used to evaluate the germination of maize seed. As for soil properties after plant harvest, the use of magnetically treated irrigation water reduced soil pH but increased soil electrical conductivity and available N and P. ERI increased from 7.6 to 10.2, 9.1 to 11.1, 10.3 to 13.3, and 11.8 to 13.3 when applying the magnetized field for S1, S2, S3 and S4, respectively. Overall, the growth parameters of maize were improved by using magnetic technology with saline water, while the opposite trend was shown for increasing salinity without magnetic treatment. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits copying, adaptation and redistribution, provided the original work is properly cited (http://creativecommons.org/licenses/by/4.0/). doi: 10.2166/wrd.2016.216 s://iwaponline.com/jwrd/article-pdf/7/3/319/376126/jwrd0070319.pdf Meysam Abedinpour (corresponding author) Kashmar Higher Education Institute, Kashmar, Iran E-mail: abedinpour_meysam@yahoo.com Ebrahim Rohani Ebrahim Rohani Department of Engineering, Bardaskan Branch, Islamic Azad University of Bardaskan, Bardaskan, Iran
Oestrogen therapy for prevention of reinfarction in postmenopausal women: a randomised placebo controlled trial.

BACKGROUND
Results of observational studies suggest that hormone replacement therapy (HRT) could reduce the risk of coronary heart disease (CHD), but those of randomised trials do not indicate a lower risk in women who use oestrogen plus progestagen. The aim of this study was to ascertain whether or not unopposed oestrogen reduces the risk of further cardiac events in postmenopausal women who survive a first myocardial infarction.


METHODS
The study was a randomised, blinded, placebo controlled, secondary prevention trial of postmenopausal women, age 50-69 years (n=1017) who had survived a first myocardial infarction. Individuals were recruited from 35 hospitals in England and Wales. Women received either one tablet of oestradiol valerate (2 mg; n=513) or placebo (n=504), daily for 2 years. Primary outcomes were reinfarction or cardiac death, and all-cause mortality. Analyses were by intention-to-treat. Secondary outcomes were uterine bleeding, endometrial cancer, stroke or other embolic events, and fractures.


FINDINGS
Frequency of reinfarction or cardiac death did not differ between treatment groups at 24 months (rate ratio 0.99, 95% CI 0.70-1.41, p=0.97). Similarly, the reduction in all-cause mortality between those who took oestrogen and those on placebo was not significant (0.79, 0.50-1.27, p=0.34). The relative risk of any death (0.56, 0.23-1.33) and cardiac death (0.33, 0.11-1.01) was lowest at 3 months post-recruitment.


INTERPRETATION
Oestradiol valerate does not reduce the overall risk of further cardiac events in postmenopausal women who have survived a myocardial infarction.
Scientific Articles Exploration System Model based in Immersive Virtual Reality and Natural Language Processing Techniques

After having carried out a historical review and identifying the state of the art in relation to the interfaces for the exploration of scientific articles, the authors propose a model based in an immersive virtual environment, natural user interfaces and natural language processing, which provides an excellent experience for the user and allows for better use of some of its capabilities, for example, intuition and cognition in 3-dimensional environments. In this work, the Oculus Rift and Leap Motion Hardware devices are used. This work aims to contribute to the proposal of a tool which would facilitate and optimize the arduous task of reviewing literature in scientific databases. The case study is the exploration and information retrieval of scientific articles using ALICIA (Scientific database of Perú). Finally, conclusions and recommendations for future work are laid out and discussed. Keywords—Immersive virtual environment; human computer interaction; natural user interfaces; natural language processing; Oculus Rift
Missed opportunities for prevention of osteoporotic fracture.

BACKGROUND
Osteoporotic fracture is a growing public health problem burden to society. Despite the importance of physician practices in preventing it, relatively little is known about the osteoporosis-related practices of US physicians.


METHODS
A total of 1500 female members of a Connecticut independent practice association model health plan (aged 40-69 years) were surveyed to identify women's receipt of osteoporosis-related services (eg, prevention counseling, bone mineral density [BMD] testing, and communication about treatment options). These findings were compared with recommendations of the US Preventive Services Task Force and the National Osteoporosis Foundation. We received 1007 completed questionnaires, for a response rate of 69%.


RESULTS
Only 49% of the sample reported that a health care provider ever discussed osteoporosis with them. In multivariate analyses, women with multiple risk factors were not more likely than other women to have been counseled about osteoporosis and its prevention, although those with an osteopenia/osteoporosis diagnosis were. In contrast to National Osteoporosis Foundation recommendations, only a small minority of high-risk women (12%-34%) had their BMD tested. Although most women with an osteopenia/osteoporosis diagnosis reported receiving information on estrogen replacement therapy, calcium, and weight-bearing exercise, fewer reported receiving information on pharmaceutical alternatives to estrogen (33%) and vitamin D (20%).


CONCLUSIONS
The main trigger to physician counseling of women about osteoporosis and its prevention is an osteopenia/osteoporosis diagnosis. Women with multiple risk factors for osteoporosis are not being identified for preventive counseling interventions or BMD testing.
An experimental evaluation of boosting methods for classification.

OBJECTIVES
In clinical medicine, the accuracy achieved by classification rules is often not sufficient to justify their use in daily practice. In order to improve classifiers it has become popular to combine single classification rules into a classification ensemble. Two popular boosting methods will be compared with classical statistical approaches.


METHODS
Using data from a clinical study on the diagnosis of breast tumors and by simulation we will compare AdaBoost with gradient boosting ensembles of regression trees. We will also consider a tree approach and logistic regression as traditional competitors. In logistic regression we allow to select non- linear effects by the fractional polynomial approach. Performance of the classifiers will be assessed by estimated misclassification rates and the Brier score.


RESULTS
We will show that boosting of simple base classifiers gives classification rules with improved predictive ability. However, the performance of boosting classifiers was not generally superior to the performance of logistic regression. In contrast to the computer-intensive methods the latter are based on classifiers which are much easier to interpret and to use.


CONCLUSIONS
In medical applications, the logistic regression model remains a method of choice or, at least, a serious competitor of more sophisticated techniques. Refinement of boosting methods by using optimized number of boosting steps may lead to further improvement.
Image Processing on DSP Environment Using OpenCV

This paper presents image conversion, including C++ implementation, memory constraints, and floatingpoint support to integrate in the accelerators or co-processors environment. A new function of converting an image file to data file (.dat) using OpenCV to optimize image processing systems on the TMS320C6713 DSK digital signal processor (DSP) has been developed. The image of all formats and all sizes can be converted efficiently to suite the end user requirements. The function so created supports both 8-bit (uint8) and 16-bit (uint16) raw pixel depth formats for uploading the image data in the DSP environment. The converted image is then loaded to the DSP and a contrast stretching filter is applied to enhance the contrast of the image. The results obtained are studied for possible implementation in real-time applications. Keywords— DSP, OpenCV, Contrast Stretching, Image Conversion
Tomorrow was yesterday

Modern Russia is including in global informational process & become a part of united Europe. Due to this transformation, sociologists must answer the concrete questions about country development tendencies. However, sociology can not predict the future development at all. This research demonstrates classical sociological approaches, which were suggested by M. Weber and F. Tonnies and which can be certainly useful today.
Attachment Trauma and the Developing Right Brain : Origins of Pathological Dissociation

8.
Syllable-based automatic Arabic speech recognition

In this paper, we concentrate on the automatic recognition of Egyptian Arabic speech using syllables. Arabic spoken digits were described by showing their constructing phonemes, triphones, syllables and words. Speaker-independent hidden markov models (HMMs)-based speech recognition system was designed using Hidden markov model toolkit (HTK). The database used for both training and testing consists from forty-four Egyptian speakers. Experiments show that the recognition rate using syllables outperformed the rate obtained using monophones, triphones and words by 2.68%, 1.19% and 1.79% respectively. A syllable unit spans a longer time frame, typically three phones, thereby offering a more parsimonious framework for modeling pronunciation variation in spontaneous speech. Moreover, syllable-based recognition has relatively smaller number of used units and runs faster than word-based recognition. Key-Words: Speech recognition, syllables, Arabic language, HMMs.
Peer support for family carers of people with dementia, alone or in combination with group reminiscence in a factorial design: study protocol for a randomised controlled trial

BACKGROUND
Peer support interventions can improve carer wellbeing and interventions that engage both the carer and person with dementia can have significant mutual benefits. Existing research has been criticised for inadequate rigour of design or reporting. This paper describes the protocol for a complex trial that evaluates one-to-one peer support and a group reminiscence programme, both separately and together, in a factorial design.


DESIGN
A 2 × 2 factorial multi-site randomised controlled trial of individual peer support and group reminiscence interventions for family carers and people with dementia in community settings in England, addressing both effectiveness and cost-effectiveness.


DISCUSSION
The methods described in this protocol have implications for research into psychosocial interventions, particularly complex interventions seeking to test both individual and group approaches.