Miracle-dz/UniFAR-FTUs huggingface dataset:
Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining

It is our great pleasure to welcome you to the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). The annual ACM SIGKDD conference is the premier international forum for data science, data mining, knowledge discovery and big data. It brings together researchers and practitioners from academia, industry, and government to share their ideas, research results and experiences. KDD-2014 features plenary presentations, paper presentations, poster sessions, workshops, tutorials, exhibits, and the KDD Cup competition. We are happy to announce that this year we are partnering with Bloomberg to emphasize our theme of Data Science for Social Good. To this end, part of our workshop and tutorial program will be held at the Bloomberg facilities together with Bloomberg-specific events, all focusing on issues pertaining to social good. Today, you hear a lot about data science, big data and data intensive computing. The core of this work is extracting knowledge and useful information from data, which for science leads to beautiful insights, and for applications leads to actions, alerts and decisions. The KDD community has always been at the center of this activity and it is clear from this conference that it will continue to drive this broader field of data science. This year we had a record number of submissions. There were 1036 submissions to the Research Track, and 151 papers were accepted. There were 197 submissions to the Industry and Government Track, and 44 papers were accepted. KDD also has a history of inviting talks that are of broad interest to the KDD community. This year we chose to have 4 plenary talks. A program committee also selected 8 talks to present at the Industry and Government track. A strength of the KDD conference is the number of workshops and tutorials that are co-located with it. This year there were 9 full-day workshops, 16 half-day workshops, and 12 tutorials. As part of our partnership with Bloomberg on the theme of social good, Bloomberg will have 3 workshops jointly located with our workshops at their New York Office. Our community is a unique blend of industry and academia, ranging from people starting their career to leaders in their respective fields. This year, we are piloting programs to facilitate networking amongst these groups. Specifically, we have a networking lounge for industry and job-seekers to meet and we helped find good matches. We also have a networking event focused on defining what a data science career looks like and have senior members meet young people to help them understand the skills needed and what a job in this discipline might entail.
Clinics in Plastic Surgery: Fat Grafting: Current Concept, Clinical Application, and Regenerative Potential, Part 2

Lee L.Q. Pu, Kotaro Yoshimura, and Sydney R. Coleman, eds. Clinics in Plastic Surgery: Fat Grafting: Current Concept, Clinical Application, and Regenerative Potential, Part 2 . New York, NY: Elsevier; 2015. ISBN-10: 0323392709, ISBN-13: 978-0323392709. $99.00. [Graphic][1] The credentials of the editors of this 2-part summary of fat grafting are impeccable and, as such, these volumes (of which part 2 is reviewed here) provide an authoritative summary of fat grafting to date. While part 1 provided a comprehensive overview of the basic science of fat grafting, including adipose stem cell biology, fat preparation, and graft take, these 12 additional chapters focus on the diverse clinical applications of the technique. Importantly, the volume focuses not only on aesthetic liposculpture (although breast augmentation and facial rejuvenation are covered here) but also includes chapters on such disparate topics as breast reconstruction, problematic wounds, scleroderma, velopharyngeal incompetence, and Dupuytren's disease. The volume concludes, as we might expect, with chapters on how to manage the complications of fat grafting and future perspectives. This volume, like its companion volume (part 1), is of general interest and assumes no prior expertise in the … Corresponding Author: Dr Graeme Glass, 6 Park St. James, Prince Albert Road, St. John's Wood, London, NW8 7LE, UK. E-mail: graeme.glass{at}ndorms.ox. ac.uk [1]: /embed/inline-graphic-1.gif
IMPROVING RECOMMENDATION QUALITY WITH ENHANCED CORRELATION SIMILARITY IN MODIFIED WEIGHTED SUM

Recommender systems aim to help users in finding the items of their interests from large data collections with little effort. Those systems use various recommendation approaches to provide accurate recommendation more and more. Among them, collaborative filtering approach is the most widely used approach in recommender systems. In the two types of CF system, item-based CF systems overtake the traditional user-based CF systems since it can overcome the scalability problem of the user-based CF. Item-based CF system computes the prediction of the user tastes on new items based on the item similarity result from the explicit rating of the users. They predict rating on the new items based on the historical ratings of the users. The proposed system improved the item-based collaborative filtering approach by enhancing the similarity of rating on items with demographic similarity of the items. It modifies one of the prediction methods, weighted sum, weighted by enhanced similarity of the items. This system intend to offer better prediction quality than other approaches and to produce better recommendation results as a result of considering item-demographic similarity with similarity result from explicit rating of the user.
Keeping your top players on the pitch: the key to football medicine at a professional level

The risk of injury in professional football has been estimated at about 1000 times greater than for typical industrial occupations generally regarded as high risk.1 Hence, prevention of injury in football should be of the utmost importance, and conducting injury surveillance studies is the fundamental first step in the process of prevention.2 The worldwide football organisation Federation of International Football Association (FIFA) and the Union of European Football Association (UEFA) and many national federations have all observed a high risk of injury in football and have initiated and supported research with the aim of avoiding injuries and keeping players on the pitch. In this issue, you will discover important findings of the UEFA Champions League (UCL) injury study. However, the UCL study is limited to men's professional football in Europe, which is only one part of football over the whole world. FIFA and its research department, F-Medical Assessment and Research Centre, have carried out many studies of great importance for football overall over a period of 18 years. Two such studies are presented. Bizzini, Junge and Dvorak ( see page 803 ) provide an overview of the development, scientific evaluation and dissemination of FIFA's injury prevention programmes, FIFA 11 and 11 +. In these studies, FIFA has demonstrated how simple exercise-based programmes can decrease the incidence of injuries in youth and amateur players. Further, FIFA has systematically documented all injuries in world football tournaments since 1998. Junge and Dvorak present an overview of these surveys indicating that the injury incidence at matches might be influenced by the playing style, intensity of the match and refereeing ( see page 782 ). In 2001, UEFA initiated a research project with the aim of reducing the number and severity of injuries …
Language Technology in a Predictive, Restricted On-Screen Keyboard with Dynamic Layout for Severely Disabled People

This paper describes the GazeTalk augmentative and alternative communications (AAC) system, and presents results from two user studies of initial typing rates among novice users. GazeTalk can be operated using eye tracking, mouse or other pointing devices. The system presents the user with a user interface that is based on 12 large on-screen buttons. GazeTalk supports a wide range of configurations, including several variants of probabilistic or ambiguous/clustered keyboards. The language model used in GazeTalk is based on a corpus constructed on the basis of text extracted from Usenet discussion groups. The results from the user studies indicated that the prediction-based input system was less efficient than a static layout. However, user comments suggest that this was mainly caused by design related factors, which were not directly related to the basic design principles. In the next design iteration, we aim to improve the design by eliminating the problems and to increase the quality of the language model by using a significantly larger training corpus.
Depression in Young People: A National School-Based Initiative for Prevention, Early Intervention and Pathways for Care

Objective: To describe the national school-based initiative of ‘beyondblue’. Conclusions: The goals of the initiative are: to reduce levels of depressive symptoms in young people, to promote emotional well-being in adolescence and to increase the capacity of organisations to design, implement and evaluate interventions relevant to the prevention of depression. The theoretical framework underpinning the program will build on expertise and evidence-based research from both the education and health sectors while the proposed initiative will draw on the existing capacity of school systems. The program will target not only the specific needs of individual students but will combine this targeted approach with a whole-school approach that addresses the quality of the social climate in which the individual is situated. The intervention strategy in partnership with the education sector will seek to make changes in the schools' social and learning environments, introduce relevant and important life skills through the curriculum, and strengthen structures that promote links between the school, families and communities.
Extracting corpus specific knowledge bases from Wikipedia

Thesauri are useful knowledge structures for assisting information retrieval. Yet their production is labor-intensive, and few domains have comprehensive thesauri that cover domain-specific concepts and contemporary usage. One approach, which has been attempted without much success for decades, is to seek statistical natural language processing algorithms that work on free text. Instead, we propose to replace costly professional indexers with thousands of dedicated amateur volunteers—namely, those that are producing Wikipedia. This vast, open encyclopedia represents a rich tapestry of topics and semantics and a huge investment of human effort and judgment. We show how this can be directly exploited to provide WikiSauri: manually-defined yet inexpensive thesaurus structures that are specifically tailored to expose the topics, terminology and semantics of individual document collections. We also offer concrete evidence of the effectiveness of WikiSauri for assisting information retrieval.
Image Digital Watermarking Technique Based on Human Visual System and Wavelet Transform Domain

A digital watermarking algorithm on color image based on human visual system and wavelet transform was proposed.This algorithm adopts YIQ color space to watermark embedding.The three-time random scrambling processing operations were made for the watermark before embedding.Then the wavelet coefficients of Y component were classified making use of the masking peculiarity of visual system.The calculation of JND values and the quantization of wavelet coefficients were made.Finally,the three scrambled watermarking sequences were embedded into wavelet coefficients of different directions by different intensities.Experimental results show that the proposed method not only has good imperceptibility but also has better performance in the aspect of robustness to common attacks.
Automatic 3D facial model reconstruction from single front-view image

A novel algorithm for automatic 3D facial model reconstruction form a single front-view facial image is presented. First, face and facial features are located. Then feature point depths are estimated from frontal facial measurements through multi-variant linear regression. With these feature points, the generic face model is individualized by volume morphing with a novel Radial Basis Function-based interpolation. Finally, the texture map is generated through cylindrical mapping. Experiments show that the reconstructed model has satisfying visual effects for a broad pose range. Compared with the multi-view based facial model reconstruction, this algorithm is fast, easy to use, fully automatic and has low requirement in hardware, so it has great potential for many practical applications.
Scope of comparative oncology in India

Sir/Madam, Dogs are the most preferable companion animal in biomedical research, and this is mostly due to their anatomical and physiological similarity with humans. Studies on dogs have opened a significant opportunity for translational research. The information obtained from these studies has a positive impact on advancing both human and animal health care. Therefore, in advanced countries aggressive collaborative efforts are being made to harness the benefits of comparative oncology studies. Unfortunately, the Indian cancer research and veterinary science communities have grossly ignored this field. Highlighting these issues the summary of a talk presented at the last Veterinary Pathology Congress, Bhubaneswar, India (November 21‐23; 2013) and subsequent discussions are provided here.
WHOLE BODY VIBRATION: TRAINING AND DETRAINING IN STRENGTH Report on behalf of Body Coach ®

Purpose: To determine the training and detraining effects of a whole body vibration strength training programme. Methods: In total 41 young adult subjects participated, in 3 groups. The training group participated in a 10 week exercise programme (three times per week) on the vibration platform (Body Coach), followed by a second training period of 6 weeks (once a week). The detraining group only participated in the 10 week vibration programme. A control group did not participate in any exercise programme during the study. Subjects had to perform a dynamic squat movement (lower limbs) and a push up movement (upper limbs) on the platform during vibration. The intensity and the duration of the vibration programme increased systematically by changing the amplitude, frequency and duration of the vibration periods. Pre and post tests for maximal strength, explosive strength (power), flexibility and some anthropometric measures were taken. Four subjects dropped out, resulting in a total sample of 37 subjects. Results: Maximal strength increased with 8,1% to 16,1% in the training group, and with 9,0% to 23,5% in the detraining group after 10 weeks of exercising. After 6 weeks of detraining, some detraining effects, although not statistically significant, were observed (0.7% to 6.7%) in the detraining group. Detraining was observed in 7 out of 10 strength measures after ending the exercise programme. The training group however showed a persistent increase in strength on 9 out of 10 tests. Conclusion: This whole body vibration programme showed an increase in strength in upper and lower limbs. Moderate detraining effects were observed after a detraining period of 6 weeks in a sample of young adult males and females. A stabilisation or maintenance programme (once a week) seems to be sufficient to keep the gained strength by using the whole body vibration method.
Impact of anticholinergics on the aging brain: a review and practical application

Objective: in an effort to enhance medication prescribing for older adults and reduce the burden of cognitive impairment, this paper reviews the literature regarding the negative impact of anticholinergics on cognitive function and provides clinicians with a practical guidance for anticholinergic use in older adults. Methods: a Medline search identified studies evaluating the use of anticholinergics and the relationship between anticholinergics and cognitive impairment. Results: prescribing anticholinergics for older adults leads to acute cognitive impairment and, possibly, chronic cognitive deficits. Assessing anticholinergic burden with a simple scale may represent a useful noninvasive tool to optimize geriatric pharmacotherapy. Conclusion: more studies are needed to validate the Anticholinergic Cognitive Burden scale and establish therapeutic guidelines in the presence of cognitive anticholinergic adverse effects.
Indirect adaptive flight control of a tailless fighter aircraft

An indirect adaptive control system approach is presented and demonstrated v ia the nonlinear s ix degree of freedom s imulation of a tailles s fighter aircraft. A summary of the tailles s aircraft configuration is given. The modular control system architecture is described and interactions between the modules are identified and illustrated using nonlinear s imulation results. Mitigation approaches for addressing the adverse interactions are presented and illustrated using nonlinear s imulation results. Simulation results that demonstrate the reconfiguration capability are also given.
Update on Extensively Drug-resistant Tuberculosis

Since the first description and definition of extensively drug-resistant tuberculosis (XDR-TB) in 2007, it has been identified in most regions of the world with South Africa as the highest burden country. It is associated with a high mortality. In some instances, the Mycobacterium tuberculosis organism that is XDR is most likely acquired due to spontaneous chromosomal mutations. The KZN and Beijing strains of M. tuberculosis may be inherently virulent and/or possess a greater propensity to developing resistance. HIV infection per se is not a risk factor for acquisition. Remarkable strides in the last 5 years have seen advances in the diagnosis of XDR-TB, earlier detection and earlier institution of treatment, the fasttracking of the development of new anti-TB drugs, and testing of existing antibiotics as part of complex regimens of treatment. It is becoming apparent that the outbreak is declining in hot spots of the world and survival is improving. The outlook for cure of patients with XDR-TB for the majority is still bleak, as advances in diagnosis and treatment are generally inaccessible in resource-poor regions where the burden is greatest. Lack of optimal secondary chemoprophylaxis for XDR-TB contacts undermines TB control. National strategies to prevent the spread and elimination of XDR-TB must be founded on an overall TB control strategy defined by optimal treatment completion and cure rates, control of HIV infection, environmental infection control in health care settings and communities (contact tracing and early treatment of TB), increased capacity and expertise of health care systems, and socioeconomic improvement. The looming danger of totally drug-resistant TB as a natural progression of XDR-TB has already been identified in some regions of the world.
Standard Error of Measurement

The standard error o f measurement (SEM) is the standard deviation of errors of measurement that are associated with test scores from a particular group of examinees. When used to calculate confidence bands around obtained test scores, it can be helpful in expressing the unreliability of individual test scores in an understandable way. Score bands can also be used to interpret intraindividual and interindividual score differences. Interpreters should be wary of over-interpretation when using approximations for correctly calculated score bands. It is recommended that SEMs at various score levels be used in calculating score bands rather than a single SEM value.
Software Implementation of the Virtual Fields Method

The virtual fields method is a tool dedicated to the identification of the mechanical properties of materials from full-field deformation measurements. It is now validated in elasticity and plasticity but one of the remaining problems is the fact that researchers wanting to use the method must invest significant time in order to programme the routines. To help them, a software called CamFit has been developed. The purpose of this paper is to present this software. It is based on MATLAB® and uses a graphical pre-processing interface to produce the geometry, the conditions on the virtual fields, to choose the type of behaviour etc. Then, series of displacement maps are uploaded and the identification is launched. Since no iterative solution of the direct problem is required, computation times are very small compared to updating techniques. An important step in the procedure is the smoothing of the displacement measurements to produce strains. FE based approximations are presently available in the software. The final purpose is to introduce the software onto the market. This will be done in the very near future.
Rotator cuff repair: considerations of surgical characteristics and evidence based interventions for improving muscle performance

Abstract Background: Rotator cuff tears may lead to significant limitations in function, pain and disability. The extent of recovery from surgical intervention and subsequent rehabilitation can vary depending on the complexities of the tear, repair procedure, and post-operative patient management. Evidence suggests that tear and surgical characteristics will influence patient presentation in terms of strength and function, and thus need to be considered when healthcare professionals design rehabilitation programs. Objectives: The objective of this manuscript is to present evidence-based rehabilitation guidelines for management of patients following repair of full-thickness rotator cuff tears, while taking into consideration the method of repair and the characteristics of the rotator cuff defect. Major findings: Many studies have examined different characteristics of rotator cuff tears, various surgical procedures to correct the deficits, and physical interventions that target the specific range of motion and strength deficits post rotator cuff repair. A significant number of investigations have reported muscle activation levels with exercises and daily activities, which may offer a prescriptive utility to the clinician providing post-operative management. However, there are insufficient evidence-based rehabilitation programs that consider the characteristics of the rotator cuff tear defect or method of repair when addressing the post-operative clinical presentation, related impairments, functional limitations and interventions. Conclusion: Rotator cuff tears and repairs have various characteristics that can impact patient recovery. Optimal recovery is dependent on appropriate communication among healthcare professionals and a rehabilitation professional’s understanding of how the tear classifications and surgical management can influence the standard treatment plan for rotator cuff repair.