LLukas22/scidocs huggingface dataset:
Role of transthoracic Doppler-determined coronary flow reserve in patients with chest pain.

BACKGROUND
The assessment of patients with chest pain is an important step to make a diagnosis and clinical decision. Coronary flow reserve (CFR) can be used for the screening of significant coronary stenosis. However, the feasibility and limitation of CFR in those patients remains unknown.


METHODS AND RESULTS
A total of 100 patients with chest pain were examined. CFR was measured in all 3 major coronary arteries by using transthoracic Doppler echocardiography (TTDE). Coronary angiography was performed 1 to 3 days after TTDE. CFR in all 3 major coronary arteries could be measured in 83 (83%) of 100 patients. The echo-contrast agent was useful in 32 of 49 patients who had unclear color Doppler images. When CFR <2.0 was regarded as the cut-off point, the overall agreement rate between CFR and the results of coronary angiography was 83% (69 of the 83 patients). In addition, CFR could predict the presence of coronary artery disease satisfactorily (sensitivity 85%, specificity 81%, positive predictive value 89%, negative predictive value 93%).


CONCLUSIONS
TTDE seems to be a promising tool for screening patients with chest pain. Moreover, an echo-contrast agent seems to be an effective and supportive tool for patients who have poor visualization of coronary flow.
Fatigue and menopausal symptoms in women with breast cancer undergoing hormonal cancer treatment.

BACKGROUND
Hormonal treatment for women with breast cancer is frequently proposed in the adjuvant as well as in the palliative setting. Therefore, many women are confronted with early menopause and prolonged oestrogen deprivation and consequently with a variety of quality of life issues, such as menopausal symptoms and fatigue.


PATIENTS AND METHODS
It was the aim of this study to explore the occurrence and frequency of menopausal symptoms in women with breast cancer, undergoing hormonal cancer treatment and to investigate their relationship with fatigue. A cross-sectional, quantitative approach was used in this multi-centre study. The Checklist for Patients with Endocrine Therapy (C-PET) and the International Breast Cancer Study Group (IBCSG) Linear Analogue Scales for patients with endocrine treatment were used. Descriptive statistics, as well as cluster analyses were performed.


RESULTS
Most frequent menopausal symptoms involved hot flashes/sweats, tiredness, weight gain, vaginal dryness and decreased sexual interest. There were significant differences between the fatigued and the non-fatigued population regarding the intensity of menopausal symptoms, emotional irritability and general coping. Cluster analyses supported a menopausal symptom cluster.


CONCLUSIONS
Fatigue accompanies menopausal symptoms and an association can be expected. Methods for routine screening for menopausal symptoms, including fatigue, are suggested as a relevant research issue in women with breast cancer undergoing hormonal treatment.
The qualitative content analysis process.

AIM
This paper is a description of inductive and deductive content analysis.


BACKGROUND
Content analysis is a method that may be used with either qualitative or quantitative data and in an inductive or deductive way. Qualitative content analysis is commonly used in nursing studies but little has been published on the analysis process and many research books generally only provide a short description of this method.


DISCUSSION
When using content analysis, the aim was to build a model to describe the phenomenon in a conceptual form. Both inductive and deductive analysis processes are represented as three main phases: preparation, organizing and reporting. The preparation phase is similar in both approaches. The concepts are derived from the data in inductive content analysis. Deductive content analysis is used when the structure of analysis is operationalized on the basis of previous knowledge.


CONCLUSION
Inductive content analysis is used in cases where there are no previous studies dealing with the phenomenon or when it is fragmented. A deductive approach is useful if the general aim was to test a previous theory in a different situation or to compare categories at different time periods.
The Impact of Co-active Life Coaching on Female University Students with Obesity

The purpose of this qualitative study was to explore the impact of Co-active life coaching on obese female university students. Five obese (BMI ≥ 30kg/m), female university students received an average of nine weekly, 35-minute, one-on-one sessions with a certified coach. Semistructured, in-depth interviews before and after participating in the coaching intervention were conducted, and inductive content analysis was utilized. Strategies to enhance data trustworthiness were incorporated throughout. Participants initially reported: struggling with barriers and experiencing pressure from family to lose weight; negative relationships with themselves; feeling self-conscious and remorse for their size and lifestyle choices. At the conclusion of the study period, participants attributed enhanced self-acceptance; living healthier lifestyles; and making themselves a priority to their coaching experience. They appreciated being treated as the expert in their lives. Life coaching has potential as a method for supporting obese individuals in improving their relationships with themselves, and may serve as a catalyst in facilitating weight-loss.
Impact of Videotaped Information on Frequency and Confidence of Breast Self-Examination

Background Videotaped education materials to teach breast self-examination (BSE) are used worldwide. However, evaluation of videotaped BSE instructions is lacking. Methods Premenopausal women (mean age 33.4 ± 11.2 years) without history of breast cancer were approached to participate in this experimental study and randomly assigned to a video intervention group (VG; n = 130; length of the video = 15 min) or non-video comparison group (NVG; n = 121). All participants answered a questionnaire on BSE behavior and health beliefs. No additional training was given. The total duration of the session including completion of the questionnaire was 15 min for the NVG and 30 min for the VG. Three months later, changes in BSE behavior were compared in the two groups. The influence of health beliefs on actual BSE behavior was investigated as well. Results Women of both the VG and NVG performed BSE significantly more frequently at follow-up than at baseline. Analysis of covariance, using the baseline BSE-frequency as co-variate and the follow-up BSE frequency as the dependent variable, revealed that women in the VG (adjusted mean = 7.9 times per year, 95%CI = 6.5–9.4) performed BSE more frequently than women of the NVG (adjusted mean = 6.1 times per year, 95%CI = 4.6–7.5) (F = 4.2, df = 2, p = 0.02). Among motivational predictors, having an example of a role model (modeling) was shown by regression analysis to explain the greatest amount of variance (13%) in BSE frequency. Conclusion Use of an educational videotape increased the frequency of BSE among premenopausal women.
Timely Dataflow: A Model

This paper studies timely dataflow, a model for data-parallel computing in which each communication event is associated with a virtual time. It defines and investigates the could-result-in relation which is central to this model, then the semantics of timely dataflow graphs.
Scanning Neural Network for Text Line Recognition

Optical character recognition (OCR) of machine printed Latin script documents is ubiquitously claimed as a solved problem. However, error free OCR of degraded or noisy text is still challenging for modern OCR systems. Most recent approaches perform segmentation based character recognition. This is tricky because segmentation of degraded text is itself problematic. This paper describes a segmentation free text line recognition approach using multi layer perceptron (MLP) and hidden markov models (HMMs). A line scanning neural network-trained with character level contextual information and a special garbage class-is used to extract class probabilities at every pixel succession. The output of this scanning neural network is decoded by HMMs to provide character level recognition. In evaluations on a subset of UNLV-ISRI document collection, we achieve 98.4% character recognition accuracy that is statistically significantly better in comparison with character recognition accuracies obtained from state-of-the-art open source OCR systems.
Differences among young adults, adults and elderly chronic myeloid leukemia patients.

BACKGROUND
The incidence of chronic myeloid leukemia (CML) increases with age, but it is unclear how the characteristics of the disease vary with age. In children, where CML is very rare, it presents with more aggressive features, including huge splenomegaly, higher cell count and higher blast cell percentage.


PATIENTS AND METHODS
To investigate if after childhood the disease maintains or loses these characteristics of aggressiveness, we analyzed 2784 adult patients, at least 18 years old, registered by GIMEMA CML WP over a 40-year period.


RESULTS
Young adults (YAs: 18-29 years old) significantly differed from adults (30-59 years old) and elderly patients (at least 60 years old) particularly for the frequency of splenomegaly (71%, 63% and 55%, P < 0.001), and the greater spleen size (median value: 4.5, 3.0 and 1.0 cm, P < 0.001). According to the EUTOS score, that is age-independent, high-risk patients were more frequent among YAs, than among adult and elderly patients (18%, 9% and 6%, P < 0.001). In tyrosine kinase inhibitors-treated patients, the rates of complete cytogenetic and major molecular response were lower in YAs, and the probability of transformation was higher (16%, 5% and 7%, P = 0.011).


CONCLUSIONS
The characteristics of CML or the host response to leukemia differ with age. The knowledge of these differences and of their causes may help to refine the treatment and to improve the outcome.


CLINICAL TRIAL NUMBERS
NCT00510926, NCT00514488, NCT00769327, NCT00481052.
MeSH Up: effective MeSH text classification for improved document retrieval

MOTIVATION
Controlled vocabularies such as the Medical Subject Headings (MeSH) thesaurus and the Gene Ontology (GO) provide an efficient way of accessing and organizing biomedical information by reducing the ambiguity inherent to free-text data. Different methods of automating the assignment of MeSH concepts have been proposed to replace manual annotation, but they are either limited to a small subset of MeSH or have only been compared with a limited number of other systems.


RESULTS
We compare the performance of six MeSH classification systems [MetaMap, EAGL, a language and a vector space model-based approach, a K-Nearest Neighbor (KNN) approach and MTI] in terms of reproducing and complementing manual MeSH annotations. A KNN system clearly outperforms the other published approaches and scales well with large amounts of text using the full MeSH thesaurus. Our measurements demonstrate to what extent manual MeSH annotations can be reproduced and how they can be complemented by automatic annotations. We also show that a statistically significant improvement can be obtained in information retrieval (IR) when the text of a user's query is automatically annotated with MeSH concepts, compared to using the original textual query alone.


CONCLUSIONS
The annotation of biomedical texts using controlled vocabularies such as MeSH can be automated to improve text-only IR. Furthermore, the automatic MeSH annotation system we propose is highly scalable and it generates improvements in IR comparable with those observed for manual annotations.
Attribute selection based on information gain ratio in fuzzy rough set theory with application to tumor classification

Tumor classification based on gene expression levels is important for tumor diagnosis. Since tumor data in gene expression contain thousands of attributes, attribute selection for tumor data in gene expression becomes a key point for tumor classification. Inspired by the concept of gain ratio in decision tree theory, an attribute selection method based on fuzzy gain ratio under the framework of fuzzy rough set theory is proposed. The approach is compared to several other approaches on three real world tumor data sets in eywords: ttribute selection utual information uzzy rough sets ain ratio gene expression. Results show that the proposed method is effective. This work may supply an optional strategy for dealing with tumor data in gene expression or other applications. © 2012 Elsevier B.V. All rights reserved.
Presence in Shared Virtual Environments and Virtual Togetherness

This Forum article discusses the relationships among people, their avatars, and their virtual environment workstations in a shared virtual environment. It introduces the notion of togetherness, the sense of people being together in a shared space, which is the counterpart for shared VEs to the presence of an individual in a VE. The role of tactual communication is emphasized as being fundamental to togetherness.
History of Cloud Application Architectures From Deployment Monoliths via Microservices to Serverless Architectures and Possible Roads Ahead-A Review from the Frontline ( invited paper )

This paper presents a review of cloud application architectures and its evolution. It reports 1 observations being made during the course of a research project that tackled the problem to transfer 2 cloud applications between different cloud infrastructures. As a side effect we learned a lot about 3 commonalities and differences from plenty of different cloud applications which might be of value for 4 cloud software engineers and architects. Throughout the course of the research project we analyzed 5 industrial cloud standards, performed systematic mapping studies of cloud-native application related 6 research papers, performed action research activities in cloud engineering projects, modeled a cloud 7 application reference model, and performed software and domain specific language engineering 8 activities. Two major (and sometimes overlooked) trends can be identified. First, cloud computing 9 and its related application architecture evolution can be seen as a steady process to optimize 10 resource utilization in cloud computing. Second, this resource utilization improvements resulted 11 over time in an architectural evolution how cloud applications are being build and deployed. A shift 12 from monolithic servce-oriented architectures (SOA), via independently deployable microservices 13 towards so called serverless architectures is observable. Especially serverless architectures are more 14 decentralized and distributed, and make more intentional use of independently provided services. In 15 other words, a decentralizing trend in cloud application architectures is observable that emphasizes 16 decentralized architectures known from former peer-to-peer based approaches. That is astonishing 17 because with the rise of cloud computing (and its centralized service provisioning concept) the 18 research interest in peer-to-peer based approaches (and its decentralizing philosophy) decreased. 19 But this seems to change. Cloud computing could head into future of more decentralized and more 20 meshed services. 21
Molecular ecology of marine mammals

Marine mammals comprise a paraphyletic group of species whose current abundance and distribution has been greatly shaped by past environmental changes and anthropogenic impacts. This thesis describ ...
Modeling IoT-aware business processes

• A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
Remote preconditioning improves maximal performance in highly trained athletes.

BACKGROUND
Remote ischemic preconditioning (RIPC) induced by transient limb ischemia releases a dialysable circulating protective factor that reduces ischemia-reperfusion injury. Exercise performance in highly trained athletes is limited by tissue hypoxemia and acidosis, which may therefore represent a type of ischemia-reperfusion stress modifiable by RIPC.


METHODS AND RESULTS
National-level swimmers, 13-27 yr, were randomized to RIPC (four cycles of 5-min arm ischemia/5-min reperfusion) or a low-pressure control procedure, with crossover. In study 1, subjects (n=16) performed two incremental submaximal swimming tests with measurement of swimming velocity, blood lactate, and HR. For study 2, subjects (n=18) performed two maximal competitive swims (time trials). To examine possible mechanisms, blood samples taken before and after RIPC were dialysed and used to perfuse mouse hearts (n=10) in a Langendorff preparation. Infarct sizes were compared with dialysate obtained from nonathletic controls. RIPC released a protective factor into the bloodstream, which reduced infarct size in mice (P<0.05 for controls and swimmers). There was no statistically significant difference between the effect of RIPC and the low-pressure control protocol on submaximal exercise performance. However, RIPC was associated with a mean improvement of maximal swim time for 100 m of 0.7 s (P=0.04), an improvement in swim time relative to personal best time (-1.1%, P=0.02), and a significant improvement in average International Swimming Federation points (+22 points, P=0.01).


CONCLUSIONS
RIPC improves maximal performance in highly trained swimmers. This simple technique may be applicable to other sports and, more importantly, to other clinical syndromes in which exercise tolerance is limited by tissue hypoxemia or ischemia.
The Improved Training Algorithm of Back Propagation Neural Network with Self-adaptive Learning Rate

This paper addresses the questions of improving convergence performance for back propagation (BP) neural network. For traditional BP neural network algorithm, the learning rate selection is depended on experience and trial. In this paper, based on Taylor formula the function relationship between the total quadratic training error change and connection weights and biases changes is obtained, and combined with weights and biases changes in batch BP learning algorithm, the formula for self-adaptive learning rate is given. Unlike existing algorithm, the self-adaptive learning rate depends on only neural network topology, training samples, average quadratic error and error curve surface gradient but not artificial selection. Simulation results show iteration times is significant less than that of traditional batch BP learning algorithm with constant learning rate.
Laparoscopic gastric gastrointestinal stromal tumor resection: the mayo clinic experience.

HYPOTHESIS
Laparoscopic resection of gastric gastrointestinal stromal tumors (GISTs) is safe and effective.


DESIGN
Retrospective medical record review.


SETTING
Tertiary referral center.


PATIENTS
Patients undergoing laparoscopic resection of gastric GISTs from April 1, 2000, to April 1, 2006.


MAIN OUTCOME MEASURES
Demographic data, diagnostic workup, operative technique, tumor characteristics, morbidity, mortality, and follow-up.


RESULTS
Thirty-three patients underwent attempted laparoscopic resection of gastric GISTs, with 31 operations completed laparoscopically. The mean patient age was 68 years (age range, 35-86 years). The female to male ratio was 18:15. Sixteen patients (49%) were asymptomatic, and their tumors were found incidentally. Of 24 patients (73%) who underwent preoperative endoscopic ultrasonography, the results of fine-needle aspiration verified the diagnosis in 13 patients (54%). The mean operative time was 124 minutes (range, 30-253 minutes). A combined endoscopic-laparoscopic approach was used in 11 patients (33%). The mean tumor size was 3.9 cm (range, 0.5-10.5 cm). Two patients (6%) underwent conversion to an open procedure. The median hospital stay duration was 3 days. The mean follow-up was 13 months (range, 3-64 months). There were no local recurrences. Three patients (9%) experienced complications, including 1 wound infection and 2 episodes of upper gastrointestinal tract bleeding. There were no mortalities.


CONCLUSION
Although technically demanding, the laparoscopic approach to gastric GISTs is safe and effective, resulting in a short hospital stay duration and low morbidity.
Fast Linear Model for Knowledge Graph Embeddings

This paper shows that a simple baseline based on a Bag-of-Words (BoW) representation learns surprisingly good knowledge graph embeddings. By casting knowledge base completion and question answering as supervised classification problems, we observe that modeling co-occurences of entities and relations leads to state-of-the-art performance with a training time of a few minutes using the open sourced library fastText1.
A randomised controlled trial of a self-management education program for osteoarthritis of the knee delivered by health care professionals

INTRODUCTION
Our aim in the present study was to determine whether a disease-specific self-management program for primary care patients with osteoarthritis (OA) of the knee (the Osteoarthritis of the Knee Self-Management Program (OAK)) implemented by health care professionals would achieve and maintain clinically meaningful improvements in health-related outcomes compared with a control group.


METHODS
Medical practitioners referred 146 primary care patients with OA of the knee. Volunteers with coexistent inflammatory joint disease or serious comorbidities were excluded. Randomisation was to either a control group or the OAK group. The OAK group completed a 6-week self-management program. The control group had a 6-month waiting period before entering the OAK program. Assessments were taken at baseline, 8 weeks and 6 months. The primary outcomes were the results measured using the Western Ontario and McMaster Universities Arthritis Index (WOMAC) Pain and Function subscales on the Short Form 36 version 1 questionnaire (SF-36) Secondary outcomes were Visual Analogue Scale (VAS) pain, Timed Up & Go Test (TUG), knee range of motion and quadriceps and hamstring strength-isometric contraction. Responses to treatment (responders) and minimal clinically important improvements (MCIIs) were determined.


RESULTS
In the OAK group, VAS pain improved from baseline to week 8 from mean (SEM) 5.21 (0.30) to 3.65 (0.29) (P ≤ 0.001). During this period, improvements in the OAK group compared with the control group and responses to treatment were demonstrated according to the following outcomes: WOMAC Pain, Physical Function and Total dimensions, as well as SF-36 Physical Function, Role Physical, Body Pain, Vitality and Social Functioning domains. In addition, from baseline to week 8, the proportion of MCIIs was greater among the OAK group than the control group for all outcomes. For the period between baseline and month 6, WOMAC Pain, Physical Function and Total dimensions significantly improved in the OAK group compared to the control group, as did the SF-36 Physical Function, Role Physical, Body Pain, Vitality and Social Functioning domains, as well as hamstring strength in both legs. During the same period, the TUG Test, range of motion extension and left-knee flexion improved compared with the control group, although these improvements had little clinical relevance.


CONCLUSIONS
We recorded statistically significant improvements compared with a control group with regard to pain, quality of life and function for participants in the OAK program on the basis of WOMAC and SF-36 measures taken 8 weeks and 6 months from baseline.