LLukas22/scidocs huggingface dataset:
Serial Alberta Stroke Program early CT score from baseline to 24 hours in Solitaire Flow Restoration with the Intention for Thrombectomy study: a novel surrogate end point for revascularization in acute stroke.

BACKGROUND AND PURPOSE
The Alberta Stroke Program Early CT Score (ASPECTS) on baseline imaging is an established predictor of acute ischemic stroke outcomes. We analyzed change on serial ASPECTS at baseline and 24-hour imaging in the Solitaire Flow Restoration with the Intention for Thrombectomy (SWIFT) study to determine prognostic value and to identify subgroups with extensive injury after intervention.


METHODS
ASPECTS at baseline and 24 hours was independently scored in all anterior circulation SWIFT cases, blinded to all other trial data. ASPECTS at baseline, at 24 hours, and serial changes were analyzed with univariate and multivariate approaches.


RESULTS
One hundred thirty-nine patients (mean age, 67 [SD, 12] years; 52% women; median National Institutes of Health Stroke Scale, 18 [interquartile range, 8-28]) with complete data at both time points were studied. Multivariate analyses showed that higher 24-hour ASPECTS predicted good clinical outcome (day 90 modified Rankin Scale, 0-2; odds ratio, 1.67; P<0.001). Among patients with high baseline ASPECTS (8-10; n=109), dramatic infarct progression (decrease in ASPECTS ≥6 points at 24 hours) was noted in 31 of 109 (28%). Such serial ASPECTS change was predicted by higher baseline systolic blood pressure (P=0.019), higher baseline blood glucose (P=0.133), and failure to achieve Thrombolysis in Cerebral Infarction score of 2b/3 reperfusion (P<0.001), culminating in worse day 90 modified Rankin Scale outcomes (mean modified Rankin Scale, 4.4 versus 2.7; P<0.001).


CONCLUSIONS
Twenty-four-hour ASPECTS provides better prognostic information compared with baseline ASPECTS. Predictors of dramatic infarct progression on ASPECTS are hyperglycemia, hypertension, and nonreperfusion. Serial ASPECTS change from baseline to 24 hours predicts clinical outcome, providing an early surrogate end point for thrombectomy trials.


CLINICAL TRIAL REGISTRATION URL
http://www.clinicaltrials.gov. Unique identifier: NCT01054560.
Iron-Sensitive Cardiac Magnetic Resonance Imaging for Prediction of Ventricular Arrhythmia Risk in Patients With Chronic Myocardial Infarction: Early Evidence.

BACKGROUND
Recent canines studies have shown that iron deposition within chronic myocardial infarction (CMI) influences the electric behavior of the heart. To date, the link between the iron deposition and malignant ventricular arrhythmias in humans with CMI is unknown.


METHODS AND RESULTS
Patients with CMI (n=94) who underwent late-gadolinium-enhanced cardiac magnetic resonance imaging before implantable cardioverter-defibrillator implantation for primary and secondary preventions were retrospectively analyzed. The predictive values of hypointense cores (HIC) in balanced steady-state free precession images and conventional cardiac magnetic resonance imaging and ECG malignant ventricular arrhythmia parameters for the prediction of primary combined outcome (appropriate implantable cardioverter-defibrillator therapy, survived cardiac arrest, or sudden cardiac death) were studied. The use of HIC within CMI on balanced steady-state free precession as a marker of iron deposition was validated in a canine MI model (n=18). Nineteen patients met the study criteria with events occurring at a median of 249 (interquartile range of 540) days after implantable cardioverter-defibrillator placement. Of the 19 patients meeting the primary end point, 18 were classified as HIC+, whereas only 1 was HIC-. Among the cohort in whom the primary end point was not met, there were 28 HIC+ and 47 HIC- patients. Receiver operating characteristic curve analysis demonstrated an additive predictive value of HIC for malignant ventricular arrhythmias with an increased area under the curve of 0.87 when added to left ventricular ejection fraction (left ventricular ejection fraction alone, 0.68). Both cardiac magnetic resonance imaging and histological validation studies performed in canines demonstrated that HIC regions in balanced steady-state free precession images within CMI likely result from iron depositions.


CONCLUSIONS
Hypointense cores within CMI on balanced steady-state free precession cardiac magnetic resonance imaging can be used as a marker of iron deposition and yields incremental information toward improved prediction of malignant ventricular arrhythmias.
Spatial and Spatiotemporal Data Mining

The significant growth of spatial and spatiotemporal data collection as well as the emergence of new technologies have heightened the need for automated discovery of spatiotemporal knowledge. Spatial and spatiotemporal data mining techniques are crucial to organizations which make decisions based on large spatial and spatiotemporal datasets. The interdisciplinary nature of spatial and spatiotemporal data mining and the complexity of spatial and spatiotemporal data and relationships pose statistical and computational challenges. This article provides an overview of recent advances in spatial and spatiotemporal data mining, and reviews common spatial and spatiotemporal data mining techniques organized by major pattern families, based on an introduction to spatial and spatiotemporal data types and relationships as well as the statistical background. New trends and research needs are also summarized, including spatial and spatiotemporal data mining in the network space and spatial and spatiotemporal big data platform development.
Avaliando o processo de construção de políticas públicas de promoção de saúde: a experiência de Curitiba

Health Promotion interventions have broad attributes, involving the collaboration and participation of different actors and the use of multiple strategies. These characteristics turn complex the methods for measuring the impact regarding the structure, process and results of the interventions. This text explores some conceptual issues and evaluation schemes focused on the intersectoral approach and on the Health Promotion framework, based on the experience of Curitiba. The process evaluation, taken as qualitative assessment of the health promotion initiatives in the city, uncovers the importance of the social participation and intersectoral coordination afforded by the public administration in the delivering of the actions. The commitment of several actors involved in the intersectoral projects appears to be crucial for the sustainability of the public policies on health promotion, pointing towards the development of collaborative networks, in addition to political and legislative bases that allow for the upholding of the interventions.
An Interactive Simulator for Imposing Virtual Musculoskeletal Dynamics

Objective: disease processes are often marked by both neural and muscular changes that alter movement control and execution, but these adaptations are difficult to tease apart because they occur simultaneously. This is addressed by swapping an individual's limb dynamics with a neurally controlled facsimile using an interactive musculoskeletal simulator (IMS) that allows controlled modifications of musculoskeletal dynamics. This paper details the design and operation of the IMS, quantifies and describes human adaptation to the IMS, and determines whether the IMS allows users to move naturally, a prerequisite for manipulation experiments.  Methods: healthy volunteers (n = 4) practiced a swift goal-directed task (back-and-forth elbow flexion/extension) for 90 trials with the IMS off (normal dynamics) and 240 trials with the IMS on, i.e., the actions of a user's personalized electromyography-driven musculoskeletal model are robotically imposed back onto the user. Results: after practicing with the IMS on, subjects could complete the task with end-point errors of 1.56°, close to the speed-matched IMS-off error of 0.57°. Muscle activity, joint torque, and arm kinematics for IMS-on and -off conditions were well matched for three subjects (root-mean-squared error [RMSE] = 0.16 N·m), but the error was higher for one subject with a small stature (RMSE = 0.25 N·m). Conclusion: a well-matched musculoskeletal model allowed IMS users to perform a goal-directed task nearly as well as when the IMS was not active. Significance: this advancement permits real-time manipulations of musculoskeletal dynamics, which could increase our understanding of muscular and neural co-adaptations to injury, disease, disuse, and aging.
Rating prediction via exploring service reputation

With the explosion of e-commerce, it presents a great opportunity for people to share their consumption experience in review websites. However, at the same time we face the information overloading problem. How to mine valuable information from these reviews and make an accurate recommendation is crucial for us. Traditional recommender systems (RS) consider many factors, such as product category, geographic location, user's purchase records, and the other social network factors. In this paper, we firstly propose a social user's reviews sentiment measurement approach and calculate each user's sentiment score on items/services. Secondly, we consider service reputation, which reflects the customers' comprehensive evaluation. At last, we fuse service reputation factor into our recommender system to make an accurate rating prediction, which is based on probabilistic matrix factorization. We conduct a series of experiments on Yelp dataset, and experimental results show the proposed approach outperforms the existing RS approaches.
The Impact of Husbands' Prostate Cancer Diagnosis and Participation in a Behavioral Lifestyle Intervention on Spouses' Lives and Relationships With Their Partners.

BACKGROUND
A prostate cancer diagnosis affects the patient and his spouse. Partners of cancer patients are often the first to respond to the demands related to their husband's illness and thus are likely to be the most supportive individuals available to the patients. It is therefore important to examine how spouses react and handle their husband's prostate cancer diagnosis.


OBJECTIVE
The aim of this study was to explore how the prostate cancer diagnosis and the participation in their partners' behavioral lifestyle intervention program influenced the spouses' life, their relationship with their partner, and how they handle the situation.


METHODS
Interviews were recorded with 8 spouses of potential low-risk prostate cancer patients on active surveillance as part of a clinical self-management lifestyle trial.


RESULTS
We identified 3 phases that the spouses went through: feeling insecure about their situation, coping strategies to deal with these insecurities, and feeling reassured.


CONCLUSIONS
The framework of a clinical trial should include mobilizing spousal empowerment so that they can take on an active and meaningful role in relation to their husband's disease. The observations here substantiate that the framework of active surveillance in combination with a lifestyle intervention in 1 specific prostate cancer clinical trial can mobilize spousal empowerment.


IMPLICATIONS FOR PRACTICE
Creating well-designed clinical patient programs that actively involve the spouse appears to promote empowerment (meaning, self-efficacy, positive impact, and self-determination) in spouses. Spousal participation in clinical patient programs can give spouses relief from anxieties while recognizing them as a vital support for their husband.
Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques

23 24 25 26 27 28 29 30 31 Article history: Available online xxxx
Association between parenting practices and children's dietary intake, activity behavior and development of body mass index: the KOALA Birth Cohort Study

BACKGROUND
Insights into the effects of energy balance-related parenting practices on children's diet and activity behavior at an early age is warranted to determine which practices should be recommended and to whom. The purpose of this study was to examine child and parent background correlates of energy balance-related parenting practices at age 5, as well as the associations of these practices with children's diet, activity behavior, and body mass index (BMI) development.


METHODS
Questionnaire data originated from the KOALA Birth Cohort Study for ages 5 (N = 2026) and 7 (N = 1819). Linear regression analyses were used to examine the association of child and parent background characteristics with parenting practices (i.e., diet- and activity-related restriction, monitoring and stimulation), and to examine the associations between these parenting practices and children's diet (in terms of energy intake, dietary fiber intake, and added sugar intake) and activity behavior (i.e., physical activity and sedentary time) at age 5, as well as BMI development from age 5 to age 7. Moderation analyses were used to examine whether the associations between the parenting practices and child behavior depended on child characteristics.


RESULTS
Several child and parent background characteristics were associated with the parenting practices. Dietary monitoring, stimulation of healthy intake and stimulation of physical activity were associated with desirable energy balance-related behaviors (i.e., dietary intake and/or activity behavior) and desirable BMI development, whereas restriction of sedentary time showed associations with undesirable behaviors and BMI development. Child eating style and weight status, but not child gender or activity style, moderated the associations between parenting practices and behavior. Dietary restriction and monitoring showed weaker, or even undesirable associations for children with a deviant eating style, whereas these practices showed associations with desirable behavior for normal eaters. By contrast, stimulation to eat healthy worked particularly well for children with a deviant eating style or a high BMI.


CONCLUSION
Although most energy balance-related parenting practices were associated with desirable behaviors, some practices showed associations with undesirable child behavior and weight outcomes. Only parental stimulation showed desirable associations with regard to both diet and activity behavior. The interaction between parenting and child characteristics in the association with behavior calls for parenting that is tailored to the individual child.
To Love to Work and to Work to Love — A Conversation about Passion

Passion by talking about the film Jerzy is attempting to make. This is a very strange film; it could be a television Christmas show, where famous paintings are reanimated. But for me it is obvious that these paintings represent cinema, and that they provide Godard with a vehicle for exploring the topic of light. Light is the essence of painting, in the sense that there is a Mediterranean or a Sternberg light. It's something you can't fake the truth and the message of an image or a period in painting. Like you and me, Godard is not interested in the sociohistorical circumstances implicit in the paintings he stages or the contemporary figures who served as their models. Rather, he wants to isolate in them the idea, the movement, or rather the light of cinema. In this sense, the paintings represent cinema. Silverman : In suggesting that the paintings restaged by the film somehow represent cinema you immediately introduced the issue of analogy or resemblance. You proposed, that is, that those images provide a metaphor for cinema. In one of his interviews, Godard reveals that he originally thought of titling the film Passion : The World and its Metaphor , which also implies that metaphor is central to its operations. But what has impressed me most during our various viewings of Passion is not so much its assertion of similitude as its insistent disarticulation of elements which are
Empirical study of PROXTONE and PROXTONE+ for fast learning of large scale sparse models

PROXTONE is a novel and fast method for the optimization of large scale non-smooth convex problems [1]. In this work, we try to use the PROXTONE method in solving large scale non-smooth non-convex problems, for example training of sparse deep neural networks (sparse DNN) or sparse convolutional neural networks (sparse CNN) for embedded or mobile device. PROXTONE converges much faster than first order methods, while first order methods are easy to derive and control the sparseness of the solutions. Thus in some applications, in order to train sparse models fast, we propose to combine the merits of both methods, that is we use PROXTONE in the first several epochs to reach the neighborhood of an optimal solution, and then use the first order method to explore the possibility of sparsity in the following training. We call such method PROXTONE plus (PROXTONE+). Both PROXTONE and PROXTONE+ are tested in our experiments, and which demonstrate both methods improved convergence speed twice as fast at least on diverse sparse model learning problems, and at the same time reduce the size to 0.5% for DNN models. The source of all the algorithms is available upon request.
A Phase I clinical study of cisplatin-incorporated polymeric micelles (NC-6004) in patients with solid tumours

Background:On the basis of preclinical studies of NC-6004, a cisplatin-incorporated micellar formulation, we hypothesised that NC-6004 could show lower toxicity than cisplatin and show greater anti-tumour activity in phase I study.Methods:A total of 17 patients were recruited in a range of advanced solid tumour types. NC-6004 was administered intravenously (i.v.) every 3 weeks. The dose escalation started at 10 mg m−2 and was increased up to 120 mg m−2 according to the accelerated titration method and modified Fibonacci method.Results:One dose-limiting toxicity (DLT) occurred in a patient who was given 90 mg m−2 of NC-6004, otherwise any significant cisplatin-related toxicity was not observed or generally mild toxicity was observed. Despite the implementation of post-hydration and pre-medication regimen, renal impairment and hypersensitivity reactions still developed at 120 mg m−2, which led to the conclusion that the maximum tolerated dose was 120 mg m−2, and the recommended dose was 90 mg m−2, although DLT was not defined as per protocol. Stable disease was observed in seven patients. The maximum concentration and area under the concentration–time curve of ultrafilterable platinum at 120 mg m−2 NC-6004 were 34-fold smaller and 8.5-fold larger, respectively, than those for cisplatin.Conclusion:The delayed and sustained release of cisplatin after i.v. administration contributes to the low toxicity of NC-6004.
MultiMSOAR 2.0: An Accurate Tool to Identify Ortholog Groups among Multiple Genomes

The identification of orthologous genes shared by multiple genomes plays an important role in evolutionary studies and gene functional analyses. Based on a recently developed accurate tool, called MSOAR 2.0, for ortholog assignment between a pair of closely related genomes based on genome rearrangement, we present a new system MultiMSOAR 2.0, to identify ortholog groups among multiple genomes in this paper. In the system, we construct gene families for all the genomes using sequence similarity search and clustering, run MSOAR 2.0 for all pairs of genomes to obtain the pairwise orthology relationship, and partition each gene family into a set of disjoint sets of orthologous genes (called super ortholog groups or SOGs) such that each SOG contains at most one gene from each genome. For each such SOG, we label the leaves of the species tree using 1 or 0 to indicate if the SOG contains a gene from the corresponding species or not. The resulting tree is called a tree of ortholog groups (or TOGs). We then label the internal nodes of each TOG based on the parsimony principle and some biological constraints. Ortholog groups are finally identified from each fully labeled TOG. In comparison with a popular tool MultiParanoid on simulated data, MultiMSOAR 2.0 shows significantly higher prediction accuracy. It also outperforms MultiParanoid, the Roundup multi-ortholog repository and the Ensembl ortholog database in real data experiments using gene symbols as a validation tool. In addition to ortholog group identification, MultiMSOAR 2.0 also provides information about gene births, duplications and losses in evolution, which may be of independent biological interest. Our experiments on simulated data demonstrate that MultiMSOAR 2.0 is able to infer these evolutionary events much more accurately than a well-known software tool Notung. The software MultiMSOAR 2.0 is available to the public for free.
Punchthrough-Voltage Enhancement of AlGaN/GaN HEMTs Using AlGaN Double-Heterojunction Confinement

In this paper, we present an enhancement of punchthrough voltage in AlGaN/GaN high-electron-mobility-transistor devices by increasing the electron confinement in the transistor channel using an AlGaN buffer-layer structure. An optimized electron confinement results in a scaling of punchthrough voltage with device geometry and a significantly reduced subthreshold drain leakage current. These beneficial properties are pronounced even further if gate-recess technology is applied for device fabrication. Physical-based device simulations give insight in the respective electronic mechanisms.
Interactive virtual try-on clothing design systems

Clothing computer design systems include three integrated parts: garment pattern design in 2D/3D, virtual try-on and realistic clothing simulation. Some important results have been obtained in pattern design and clothing simulation since the 1980s. However, in the area of virtual try-on, only limited methods have been proposed which are applicable to some defined garment styles or under restrictive sewing assumptions. This paper presents a series of new techniques from virtually sewing up complex garment patterns on human models to visualizing design effects through physical-based real-time simulation. We first employ an hierarchy of ellipsoids to approximate human models in which the bounding ellipsoids are optimized recursively.Wealso present a newscheme for including contact friction and resolving collisions. Four types of user interactive operation are introduced to manipulate cloth patterns for pre-positioning, virtual sewing and later obtaining cloth simulation. In the cloth simulation, we propose a simplified cloth dynamic model and an integration scheme to realize a high quality realtime cloth simulation.We demonstrate the robustness of our proposed systems by complex garment style virtual try-on and cloth simulation. © 2010 Elsevier Ltd. All rights reserved.
Empirical Modeling of Pneumatic Artificial Muscle

Pneumatic Artificial Muscle (PAM) yields natural muscle-like actuator with high force to weight ratio, soft and flexible structure, and adaptable compliance for rehabilitation and prosthetic appliances to the disabled. To obtain optimum design and usage, there is significance to understand mechanical behavior of the PAM. In this study, experimental results reveal empirical modeling for relations of physical variables in contraction and air-pressure of the PAM to mechanical characteristics, that is stiffness and force of the PAM available in market.