LLukas22/scidocs huggingface dataset:
Authoring context-dependent cross-device user interfaces based on trigger/action rules

Current authoring environments provide the possibility of developing user interfaces with limited adaptation capacities. The most widely adopted tools follow the responsive design approach and allow developers to obtain user interfaces that can adapt mainly to the screen size and orientation. We present a solution able to support development of user interfaces able to adapt to the various types of contextual events (that can be related to users, devices, environments, and social relationships), with the added possibility of distributing the user interface elements across multiple devices. The context-dependent behavior is modelled through trigger / action rules, and can even be applied to Web applications that were not originally designed to be context-aware. This paper describes the design and main features of the novel authoring environment and reports on a first user study.
The impact of nutrition education with and without a school garden on knowledge, vegetable intake and preferences and quality of school life among primary-school students.

OBJECTIVE
To investigate the impact of school garden-enhanced nutrition education (NE) on children's fruit and vegetable consumption, vegetable preferences, fruit and vegetable knowledge and quality of school life.


DESIGN
Quasi-experimental 10-week intervention with nutrition education and garden (NE&G), NE only and control groups. Fruit and vegetable knowledge, vegetable preferences (willingness to taste and taste ratings), fruit and vegetable consumption (24 h recall × 2) and quality of school life (QoSL) were measured at baseline and 4-month follow-up.


SETTING
Two primary schools in the Hunter Region, New South Wales, Australia.


SUBJECTS
A total of 127 students in Grades 5 and 6 (11-12 years old; 54 % boys).


RESULTS
Relative to controls, significant between-group differences were found for NE&G and NE students for overall willingness to taste vegetables (P < 0·001) and overall taste ratings of vegetables (P < 0·001). A treatment effect was found for the NE&G group for: ability to identify vegetables (P < 0·001); willingness to taste capsicum (P = 0·04), broccoli (P = 0·01), tomato (P < 0·001) and pea (P = 0·02); and student preference to eat broccoli (P < 0·001) and pea (P < 0·001) as a snack. No group-by-time differences were found for vegetable intake (P = 0·22), fruit intake (P = 0·23) or QoSL (P = 0·98).


CONCLUSIONS
School gardens can impact positively on primary-school students' willingness to taste vegetables and their vegetable taste ratings, but given the complexity of dietary behaviour change, more comprehensive strategies are required to increase vegetable intake.
Factors influencing healthcare service quality.

BACKGROUND
The main purpose of this study was to identify factors that influence healthcare quality in the Iranian context.


METHODS
Exploratory in-depth individual and focus group interviews were conducted with 222 healthcare stakeholders including healthcare providers, managers, policy-makers, and payers to identify factors affecting the quality of healthcare services provided in Iranian healthcare organisations.


RESULTS
Quality in healthcare is a production of cooperation between the patient and the healthcare provider in a supportive environment. Personal factors of the provider and the patient, and factors pertaining to the healthcare organisation, healthcare system, and the broader environment affect healthcare service quality. Healthcare quality can be improved by supportive visionary leadership, proper planning, education and training, availability of resources, effective management of resources, employees and processes, and collaboration and cooperation among providers.


CONCLUSION
This article contributes to healthcare theory and practice by developing a conceptual framework that provides policy-makers and managers a practical understanding of factors that affect healthcare service quality.
Design and development of the wearable hand exoskeleton system for rehabilitation of hand impaired patients

In the past decade, the population of disability grew rapidly and became one of main problems in our society. The significant amounts of impaired patients include not only lower limb but also upper limb impairment such as the motor function of arm and hand. However, physical therapy requires high personal expenses and takes long time to complete the rehabilitation. In order to solve the problem mentioned above, a wearable hand exoskeleton system was developed in this paper. The hand exoskeleton system typically designed to accomplish the requirements for rehabilitation. Figure 1 shows the prototype of hand exoskeleton system which can be easily worn on human hand. The developed exoskeleton finger can provide bi-directional movements in bending and extension motion for all joints of the finger through cable transmission. The kinematic relations between the fingertip and metacarpal was derived and verified. Moreover, the construction of control system is presented in this paper. The preliminary experiment results for finger's position control have demonstrated that the proposed device is capable of accommodating to the aforementioned variables.
Effectiveness of the Implemented Training Program in Changing Menopausal Women's Knowledge & Opinion toward Osteoporosis

Background: Osteoporosis Is A Major Global Public Health Problem And An Important Metabolic Bone Disease Associated With Significant Morbidity, Mortality, And Socioeconomic Burden. It Is Defined As A Skeletal Disorder Characterized By A Decrease In Bone Mass And Density, Leading To An Increased Risk Of Fragility Fractures. The Greatest Bone Loss Occurs In Women During Per-Menopause And Is Associated With Estrogen Insufficiency, A Condition Of Menopause. Aim: To Evaluate The Effectiveness Of Implemented Training Program In Changing Menopausal Women's Knowledge And Opinion Toward Osteoporosis At Rheumatic And Rehabilitation Outpatients' Clinic In Mansoura University Hospital. Design: A Quasi-Experimental Design Was Used. Sample: Two Types Of Sample Were Recruited For This Study. The First Total 400 Menopausal Women Attending The Previous Mentioned Clinic Between May2012and March 2013. The Second Sample 120 Menopausal Women With Positive Diagnosis Of Osteoporosis. Tools For Data Collection: Three Tools Were Devised Specifically For The Study.Results: There Were Significant Improvements In The Women's Knowledge Scores About Osteoporosis Especially Related To Definition, Causes, Signs And Symptoms, Risk Factors, Intervention, Diagnosis And Nursing Management. Meanwhile, The Scores In The Follow Up (After 3 Months) Tended To Decline. Conclusion: The Women's Knowledge About Osteoporosis Was Significantly Improved During The Program Phases; At The Post Test And Follow Up After 3 Months. The Study Recommended That The Approach Can Be Replicated And Applied To Other Groups Of Menopausal Women.
Movement Segmentation and Recognition for Imitation Learning

In human movement learning, it is most common to teach constituent elements of complex movements in isolation, before chaining them into complex movements. Segmentation and recognition of observed movement could thus proceed out of this existing knowledge, which is directly compatible with movement generation. In this paper, we address exactly this scenario. We assume that a library of movement primitives has already been taught, and we wish to identify elements of the library in a complex motor act, where the individual elements have been smoothed together, and, occasionally, there might be a movement segment that is not in our library yet. We employ a flexible machine learning representation of movement primitives based on learnable nonlinear attractor system. For the purpose of movement segmentation and recognition, it is possible to reformulate this representation as a controlled linear dynamical system. An Expectation-Maximization algorithm can be developed to estimate the open parameters of a movement primitive from the library, using as input an observed trajectory piece. If no matching primitive from the library can be found, a new primitive is created. This process allows a straightforward sequential segmentation of observed movement into known and new primitives, which are suitable for robot imitation learning. We illustrate our approach with synthetic examples and data collected from human movement. Appearing in Proceedings of the 15 International Conference on Artificial Intelligence and Statistics (AISTATS) 2012, La Palma, Canary Islands. Volume XX of JMLR: W&CP XX. Copyright 2012 by the authors.
A Bayesian Network approach to County-Level Corn Yield Prediction using historical data and expert knowledge

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Effects of kinesthesia and balance exercises in knee osteoarthritis.

BACKGROUND
In patients with knee osteoarthritis (OA), there is a prominent loss in proprioception and kinesthesia sensation compared with control subjects of the same age and gender.


OBJECTIVES
The aim of this study is the investigation of short-term clinical effects of kinesthesia and balance exercises in patients with knee OA.


METHODS
This 8-week study was conducted on 66 female patients with knee OA who were randomized into 2 groups. The first group received kinesthesia and balance exercises (such as retrowalking, walking on their toes, leaning to the sides, balance board exercises, minitrampoline exercises, plyometric exercises, and so on) in addition to strengthening exercises. The second group received only strengthening exercises.


RESULTS
: Statistically significant improvements were observed postexercise for both groups with respect to baseline for WOMAC, SF-36 Form, times for performing activities of daily living, isokinetic quadriceps muscle strength, and proprioceptive sensation levels. In the first group with kinesthesia training, compared with the second group, significantly greater improvements were obtained in all the subparameters that measure functional status (WOMAC-physical function value, SF-36 Form [physical function, role limitations-physical and vitality-energy or fatigue variables], 10 stairs climbing, and 10-m walking times) and in isokinetic muscle strength at high angular velocities (P < 0.05). The absolute angular error percentage (to assess proprioceptive accuracy) was significantly improved postexercise in both groups. There were no differences between the groups.


CONCLUSIONS
Additive positive effects of kinesthesia and balance exercises in knee OA have been demonstrated. Used in clinical applications, they should be able to increase the functional capacities of patients. Long-term studies about efficacy and cost-effectivity of these exercises are needed.
Robust Lane Detection using Two-stage Feature Extraction with Curve Fitting

With the increase in the number of vehicles, many intelligent systems have been developed to help drivers to drive safely. Lane detection is a crucial element of any driver assistance system. At present, researchers working on lane detection are confronted with several major challenges, such as attaining robustness to inconsistencies in lighting and background clutter. To address these issues in this work, we propose a method named Lane Detection with Two-stage Feature Extraction (LDTFE) to detect lanes, whereby each lane has two boundaries. To enhance robustness, we take lane boundary as collection of small line segments. In our approach, we apply a modified HT (Hough Transform) to extract small line segments of the lane contour, which are then divided into clusters by using the DBSCAN (Density Based Spatial Clustering of Applications with Noise) clustering algorithm. Then, we can identify the lanes by curve fitting. The experimental results demonstrate that our modified HT works better for LDTFE than LSD (Line Segment Detector). Through extensive experiments, we demonstrate the outstanding performance of our method on the challenging dataset of road images compared with state-of-the-art lanedetection methods. & 2015 Elsevier Ltd. All rights reserved.
Distance functions on digital pictures

This paper describes algori thms for comput ing various functions on a digital picture which depend on the distance to a given subset of the picture. The algorithms involve local operations which are performed repeatedly, "in parallel", on every picture element and its immediate neighbors. Applications to the detection of "clusters" and "regularities" in a picture, and to the dissection of a region into "'pieces", are also described. 1. DISTANCE F U N C T I O N S LET A be the set of all pairs of integers (i,j). The func t ion f f rom A x A into the nonnegative integers is called (a) Positive definite, if f (x, y) = 0 if and only if x = y. (b) Symmetric, if f (x, y) = f(y, x) for all x, y in A. (c) Triangular, i ff(x, z) < f(x, y)+f(y, z) for all x, y, z in A. If f satisfies (a--c), it is called a distance function. Proposition 1. If l a n d g satisfy (a), so do f + g and m a x ( f g); similarly for (b) and (c). Proof: Le t f ( x , y )+g(x ,y ) = 0; then s i n c e f > 0 and g > 0, we must have f (x ,y ) = g ( x , y ) = 0 , so that x = y . Clearly f ( y , x ) + g ( y , x ) = f ( x , y ) + g ( x , y ) , while f ( x , z )+ g(x, z) < f (x , y) + f(y , z) + g(x, y) + g(y, z) = f (x , y) + g(x, y) + f (y , z) + g(y, z). The proofs for max(f, g) are analogous. COROLLARY. If f l . . . . . f , satisfy (a), (b) or (c), so d o f t + . . . +fn and max(f l . . . . . f,). Proposition 2. f[(i, j), (h, k)] = l i hL and g[(i, j), (h, k)] = I J kl are distance functions. Proof: (a)-(b) are clear; as for (c), note that f[(m, n), (p, q)] = f [ (m+r, n), (p+r, q)] for any m, so that it suffices to prove f[(i, jk(h,k)] <fE(i,j),(O,O)]+f[(h,k),(O,O)], i.e. l i -hl <<_ Iil +lhl, which is a well known property of absolute value, and similarly for g. COROLLARY. dl[(i,j), (h, k)] = l i -hl +l j k [ and d2[(i,j), (h, k)] = max( l i -h l , I j k [ ) are distance functions. (d I is sometimes called city block distance.) Proposition 3. The set of (i,j) at distance < r from (0, 0) is: (a) For d l : A diamond (i.e. a square with sides inclined at +45 °) with vertices at (0, _ r) and (+ r, 0) (b) For d2 : A square (with sides horizontal and vertical) with vertices at (r, + r ) and ( r , _+r). Proof." (a) This is the set of (i,j) such that li[ +lJl -< rz thus ]Jl -< r, and for any such j we h a v e l j ] r < i < r l j l .
Automatic generation of personalized human avatars from multi-view video

In multi-user virtual environments real-world people interact via digital avatars. In order to make the step from the real world onto the virtual stage convincing the digital equivalent of the user has to be personalized. It should reflect the shape and proportions, the kinematic properties, as well as the textural appearance of its real-world equivalent. In this paper, we present a novel spatio-temporal approach to create a personalized avatar from multi-view video data of a moving person. The avatar's geometry is generated by shape-adapting a template human body model. Its surface texture is assembled from multi-view video frames showing arbitrary different body poses. consistent surface texture for the model is generated using multi-view video frames from different camera views and different body poses. With our proposed method photo-realistic human avatars can be robustly generated.
Predicting motion picture box office performance using temporal tweet patterns

Predicting motion picture box office performance using temporal tweet patterns Najafi Hossein, Darryl W Miller, Article information: To cite this document: Najafi Hossein, Darryl W Miller, "Predicting motion picture box office performance using temporal tweet patterns", International Journal of Intelligent Computing and Cybernetics, https://doi.org/10.1108/IJICC-04-2017-0033 Permanent link to this document: https://doi.org/10.1108/IJICC-04-2017-0033
ECDSA Security in Bitcoin and Ethereum : a Research Survey

This survey discusses the security level of the signature scheme implemented in Bitcoin and Ethereum.
Impact of Fenestrated Endovascular Abdominal Aortic Aneurysm Repair on Renal Function.

PURPOSE
To investigate the impact of fenestrated endovascular aneurysm repair (fEVAR) on renal function perioperatively and at midterm.


METHODS
A case-controlled study was performed involving 58 patients (mean age 75±7 years; 51 men) who underwent elective fEVAR for a juxtarenal or short-necked abdominal aortic aneurysm (AAA) matched on age, sex, smoking, diabetes, and baseline estimated glomerular filtration rate (eGFR) with a contemporaneous group undergoing open aneurysm repair (OAR) for the same indications. Perioperative incidence of acute kidney injury (AKI) and levels of eGFR at 30 days and 1 year were compared. A systematic literature review was performed to identify studies that had used eGFR as renal outcome after fEVAR; the pooled data were meta-analyzed using an eGFR drop >30% at 1 month and the latest follow-up as endpoints. Results are reported as the pooled proportion and 95% confidence interval (CI).


RESULTS
The incidence of AKI after fEVAR was 28% compared to 10% after OAR (p=0.03). Following fEVAR, the mean eGFR dropped from 78±8 to 74±9 mL/min/1.73 m(2) at 30 days compared to a change from 79±8 to 80±16 mL/min/1.73 m(2) after OAR (p<0.01). However, the absolute drop in eGFR between fEVAR and OAR at 1 year was similar (7 mL/min/1.73 m(2); p=0.53); 7% of the fEVAR patients had an eGFR drop >30% at that point compared with none for OAR (p=0.12). The systematic literature review identified eGFR outcomes for 193 fEVAR patients. Combining these patients with the 58 from our cohort study, the pooled proportions of eGFR drop >30% were 20% (95% CI 9% to 39%) at 30 days and 8% (95% CI 0.5% to 13%) at the end of follow-up.


CONCLUSION
fEVAR has a significant perioperative impact on renal function, but 1-year results are similar to OAR. fEVAR patients may benefit from targeted AKI prevention strategies that need to be assessed in relevant studies.
The outcome and structural integrity of arthroscopic rotator cuff repair with use of the double-row suture anchor technique. Surgical technique.

BACKGROUND
The reported rate of failure after arthroscopic rotator cuff repair has varied widely. The influence of the repair technique on the failure rates and functional outcomes after open or arthroscopic rotator cuff repair remains controversial. The purpose of the present study was to evaluate the functional and anatomic results of arthroscopic rotator cuff repairs performed with the double-row suture anchor technique on the basis of computed tomography or magnetic resonance imaging arthrography in order to determine the postoperative integrity of the repairs.


METHODS
A prospective series of 105 consecutive shoulders undergoing arthroscopic double-row rotator cuff repair of the supraspinatus or a combination of the supraspinatus and infraspinatus were evaluated at a minimum of two years after surgery. The evaluation included a routine history and physical examination as well as determination of the preoperative and postoperative strength, pain, range of motion, and Constant scores. All shoulders had a preoperative and postoperative computed tomography arthrogram (103 shoulders) or magnetic resonance imaging arthrogram (two shoulders).


RESULTS
There were thirty-six small rotator cuff tears, forty-seven large isolated supraspinatus or combined supraspinatus and infraspinatus tendon tears, and twenty-two massive rotator cuff tears. The mean Constant score (and standard deviation) was 43.2 +/- 15.1 points (range, 8 to 83 points) preoperatively and 80.1 +/- 11.1 points (range, 46 to 100 points) postoperatively. Twelve of the 105 repairs failed. Intact rotator cuff repairs were associated with significantly increased strength and active range of motion.


CONCLUSIONS
Arthroscopic repair of a rotator cuff tear with use of the double-row suture anchor technique results in a much lower rate of failure than has previously been reported in association with either open or arthroscopic repair methods. Patients with an intact rotator cuff repair have better pain relief than those with a failed repair. After repair, large and massive rotator cuff tears result in more postoperative weakness than small tears do.
Fast Trajectory Optimization for Agile Quadrotor Maneuvers with a Cable-Suspended Payload

Executing agile quadrotor maneuvers with cablesuspended payloads is a challenging problem and complications induced by the dynamics typically require trajectory optimization. State-of-the-art approaches often need significant computation time and complex parameter tuning. We present a novel dynamical model and a fast trajectory optimization algorithm for quadrotors with a cable-suspended payload. Our first contribution is a new formulation of the suspended payload behavior, modeled as a link attached to the quadrotor with a combination of two revolute joints and a prismatic joint, all being passive. Differently from state of the art, we do not require the use of hybrid modes depending on the cable tension. Our second contribution is a fast trajectory optimization technique for the aforementioned system. Our model enables us to pose the trajectory optimization problem as a Mathematical Program with Complementarity Constraints (MPCC). Desired behaviors of the system (e.g., obstacle avoidance) can easily be formulated within this framework. We show that our approach outperforms the state of the art in terms of computation speed and guarantees feasibility of the trajectory with respect to both the system dynamics and control input saturation, while utilizing far fewer tuning parameters. We experimentally validate our approach on a real quadrotor showing that our method generalizes to a variety of tasks, such as flying through desired waypoints while avoiding obstacles, or throwing the payload toward a desired target. To the best of our knowledge, this is the first time that three-dimensional, agile maneuvers exploiting the system dynamics have been achieved on quadrotors with a cable-suspended payload. SUPPLEMENTARY MATERIAL This paper is accompanied by a video showcasing the experiments: https://youtu.be/s9zb5MRXiHA
AnswerBus question answering system

AnswerBus1 is an open-domain question answering system based on sentence level Web information retrieval. It accepts users’ natural-language questions in English, German, French, Spanish, Italian and Portuguese and provides answers in English. Five search engines and directories are used to retrieve Web pages that are relevant to user questions. From the Web pages, AnswerBus extracts sentences that are determined to contain answers. Its current rate of correct answers to TREC-8’s 200 questions is 70.5% with the average response time to the questions being seven seconds. The performance of AnswerBus in terms of accuracy and response time is better than other similar systems.