LLukas22/scidocs huggingface dataset:
Illness Identity in Adolescents and Emerging Adults With Type 1 Diabetes: Introducing the Illness Identity Questionnaire.

OBJECTIVE
The current study examined the utility of a new self-report questionnaire, the Illness Identity Questionnaire (IIQ), which assesses the concept of illness identity, or the degree to which type 1 diabetes is integrated into one's identity. Four illness identity dimensions (engulfment, rejection, acceptance, and enrichment) were validated in adolescents and emerging adults with type 1 diabetes. Associations with psychological and diabetes-specific functioning were assessed.


RESEARCH DESIGN AND METHODS
A sample of 575 adolescents and emerging adults (14-25 years of age) with type 1 diabetes completed questionnaires on illness identity, psychological functioning, diabetes-related problems, and treatment adherence. Physicians were contacted to collect HbA1c values from patients' medical records. Confirmatory factor analysis (CFA) was conducted to validate the IIQ. Path analysis with structural equation modeling was used to examine associations between illness identity and psychological and diabetes-specific functioning.


RESULTS
CFA indicated that the IIQ has a clear factor structure, meaningfully differentiating four illness identity dimensions. Rejection was related to worse treatment adherence and higher HbA1c values. Engulfment was related to less adaptive psychological functioning and more diabetes-related problems. Acceptance was related to more adaptive psychological functioning, fewer diabetes-related problems, and better treatment adherence. Enrichment was related to more adaptive psychological functioning.


CONCLUSIONS
The present findings underscore the importance of the concept of illness identity. A valid and reliable measure, the IIQ, is introduced to measure four illness identity dimensions in individuals with type 1 diabetes. These four illness identity dimensions were uniquely related to psychological and diabetes-specific functioning.
A minimal or maximal ablation strategy to achieve pulmonary vein isolation for paroxysmal atrial fibrillation: a prospective multi-centre randomized controlled trial (the Minimax study).

AIMS
Pulmonary vein isolation (PVI) is the cornerstone of catheter ablation of atrial fibrillation (AF). The intervenous ridge (IVR) may be incorporated into ablation strategies to achieve PVI; however, randomized trials are lacking. We performed a randomized multi-centre international study to compare the outcomes of (i) circumferential antral PVI (CPVI) alone (minimal) vs. (ii) CPVI with IVR ablation to achieve individual PVI (maximal).


METHODS AND RESULTS
Two hundred and thirty-four patients with paroxysmal AF underwent CPVI and were randomized to a minimal or maximal ablation strategy. The primary outcome of recurrent atrial arrhythmia was assessed with 7-day Holter monitoring at 6 and 12 months. PVI was achieved in all patients. Radiofrequency ablation time was longer in the maximal group (46.6 ± 14.6 vs. 41.5 ± 13.1 min; P < 0.01), with no significant differences in procedural or fluoroscopy times. At mean follow-up of 17 ± 8 months, there was no difference in freedom from AF after a single procedure between a minimal (70%) and maximal ablation strategy (62%; P = 0.25). In the minimal group, ablation was required on the IVR to achieve electrical isolation in 44%, and was associated with a significant reduction in freedom from AF (57%) compared with the minimal group without IVR ablation (80%; P < 0.01).


CONCLUSION
There was no statistically significant difference in freedom from AF between a minimal and maximal ablation strategy. Despite attempts to achieve PVI with antral ablation, IVR ablation is commonly required. Patients in whom antral isolation can be achieved without IVR ablation have higher long-term freedom from AF (the Minimax study; ACTRN12610000863033).
Hypersensitivity to titanium: clinical and laboratory evidence.

OBJECTIVES
This study was carried out to investigate the potential of titanium to induce hypersensitivity in patients chronically exposed to titanium-based dental or endoprosthetic implants.


METHODS
Fifty-six patients who had developed clinical symptoms after receiving titanium-based implants were tested in the optimized lymphocyte transformation test MELISA against 10 metals including titanium. Out of 56 patients, 54 were patch-tested with titanium as well as with other metals. The implants were removed in 54 patients (2 declined explantation), and 15 patients were retested in MELISA.


RESULTS
Of the 56 patients tested in MELISA, 21 (37.5%) were positive, 16 (28.6%) ambiguous, and 19 (33.9%) negative to titanium. In the latter group, 11 (57.9%) showed lymphocyte reactivity to other metals, including nickel. All 54 patch-tested patients were negative to titanium. Following removal of the implants, all 54 patients showed remarkable clinical improvement. In the 15 retested patients, this clinical improvement correlated with normalization in MELISA reactivity.


CONCLUSION
These data clearly demonstrate that titanium can induce clinically-relevant hypersensitivity in a subgroup of patients chronically exposed via dental or endoprosthetic implants.
The Role of iPads in Constructing Collaborative Learning Spaces

Traditionally, research on technology in mathematics education focuses on interactions between the user and the technology, but little is known about how technology can facilitate face-to-face interaction among students. We will explore the role that iPads versus traditional laptops play in shaping the learning spaces in which students explore concepts in business calculus. We will present a system for coding student interactions with the technology and fellow classmates during classroom observations. Our main result is that introducing the iPad, a portable device with a tactile interface and intuitive applications, enhances collaboration by allowing students to transition back and forth from private to public learning spaces.
The beat goes on : a commentary on Kelley's 'Expanding the analysis of social orientations ...'

Kelley's recent expansion of the analysis of social orientations is seen to be a logical extension of the interdependence concepts emanating from his extraordinary collaboration with the late John Thibaut. This expansion, extending the nomenclature of transitions lists to analysing the control of transition choices, is briefly summarized. The analysis holds much promise, which will be fully realized, however, only when valid assessments of the constituent components are available. © 1997 John Wiley & Sons, Ltd.
Integrating the IT Infrastructures in Healthcare Organisations : a Proposition of Influential Factors

The healthcare industry is composed of primary and secondary healthcare providers. Each provider needs to exchange information with other providers. Information Systems (IS) developed on different types of hardware and software platforms serve this need. Due to the heterogeneous and distributed nature of information and communicating technology (ICT) in the healthcare industry, sharing of the data has become an issue. There is an urgent need for the integration of these distributed IS. Several efforts have been made to achieve the integration, but traditional methods can only in part address integration problems. Enterprise Application Integration (EAI) offers another solution to addressing the needs of healthcare information systems integration. From a technical perspective, EAI overcomes integration problems at all levels (e.g. data, process etc.) by providing a flexible and manageable Information Technology (IT) infrastructure. From a business perspective, EAI reduces the overall integration costs by minimising integration time and maintenance cost. A literature review in the area of EAI indicates that EAI adoption has not been studied in depth in relation to healthcare organisations. However, there is a clear need for healthcare organisations to seek EAI adoption. In doing so, a conceptual framework for EAI adoption in healthcare organisations is proposed. Decision makers in healthcare organisations, can use this model when considering EAI adoption.
Human Parsing with Contextualized Convolutional Neural Network

In this work, we address the human parsing task with a novel Contextualized Convolutional Neural Network (Co-CNN) architecture, which well integrates the cross-layer context, global image-level context, semantic edge context, within-super-pixel context and cross-super-pixel neighborhood context into a unified network. Given an input human image, Co-CNN produces the pixelwise categorization in an end-to-end way. First, the cross-layer context is captured by our basic local-to-global-to-local structure, which hierarchically combines the global semantic information and the local fine details across different convolutional layers. Second, the global image-level label prediction is used as an auxiliary objective in the intermediate layer of the Co-CNN, and its outputs are further used for guiding the feature learning in subsequent convolutional layers to leverage the global image-level context. Third, semantic edge context is further incorporated into Co-CNN, where the high-level semantic boundaries are leveraged to guide pixel-wise labeling. Finally, to further utilize the local super-pixel contexts, the within-super-pixel smoothing and cross-super-pixel neighbourhood voting are formulated as natural sub-components of the Co-CNN to achieve the local label consistency in both training and testing process. Comprehensive evaluations on two public datasets well demonstrate the significant superiority of our Co-CNN over other state-of-the-arts for human parsing. In particular, the F-1 score on the large dataset [1] reaches 81.72 percent by Co-CNN, significantly higher than 62.81 percent and 64.38 percent by the state-of-the-art algorithms, M-CNN [2] and ATR [1], respectively. By utilizing our newly collected large dataset for training, our Co-CNN can achieve 85.36 percent in F-1 score.
Characteristic Expression of Extracellular Matrix in Subcutaneous Adipose Tissue Development and Adipogenesis; Comparison with Visceral Adipose Tissue

Adipose tissue is a connective tissue specified for energy metabolism and endocrines, but functional differences between subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) have not been fully elucidated. To reveal the physiological role of SAT, we characterized in vivo tissue development and in vitro adipocyte differentiation. In a DNA microarray analysis of SAT and VAT in Wistar rats, functional annotation clusters of extracellular matrix (ECM)-related genes were found in SAT, and major ECM molecules expressed in adipose tissues were profiled. In a histological analysis and quantitative expression analysis, ECM expression patterns could be classified into two types: (i) a histogenesis-correlated type such as type IV and XV collagen, and laminin subunits, (ii) a high-SAT expression type such as type I, III, and V collagen and minor characteristic collagens. Type (i) was related to basal membrane and up-regulated in differentiated 3T3-L1 cells and in histogenesis at depot-specific timings. In contrast, type (ii) was related to fibrous forming and highly expressed in 3T3-L1 preadipocytes. Exceptionally, fibronectin was abundant in developed adipose tissue, although it was highly expressed in 3T3-L1 preadipocytes. The present study showed that adipose tissues site-specifically regulate molecular type and timing of ECM expression, and suggests that these characteristic ECM molecules provide a critical microenvironment, which may affect bioactivity of adipocyte itself and interacts with other tissues. It must be important to consider the depot-specific property for the treatment of obesity-related disorders, dermal dysfunction and for the tissue regeneration.
Sustainability and cities: extending the metabolism model

The use of the metabolism concept, expanded to include aspects of livability, is applied to cities to demonstrate the practical meaning of sustainability. Its application in industrial ecology, urban ecology, urban demonstration projects, business plans and city comparisons are used to illustrate its potential. # 1999 Elsevier Science B.V. All rights reserved.
Prediction of surface roughness with genetic programming

In this paper we propose genetic programming to predict surface roughness in end-milling. Two independent data sets were obtained on the basis of measurement: training data set and testing data set. Spindle speed, feed rate, depth of cut, and vibrations are used as independent input variables (parameters), while surface roughness as dependent output variable. On the basis of training data set, different models for surface roughness were developed by genetic programming. Accuracy of the best model was proved with the testing data. It was established that the surface roughness is most influenced by the feed rate, whereas the vibrations increase the prediction accuracy.
Application of quantum cascade lasers to trace gas analysis

Quantum cascade (QC) lasers are virtually ideal mid-infrared sources for trace gas monitoring. They can be fabricated to operate at any of a very wide range of wavelengths from ∼ 3 µm to ∼ 24 µm. Seizing the opportunity presented by mid-infrared QC lasers, several groups worldwide are actively applying them to trace gas sensing. Real world applications include environmental monitoring, industrial process control and biomedical diagnostics. In our laboratory we have explored the use of several methods for carrying out absorption spectroscopy with these sources, which include multipass absorption spec-troscopy, cavity ring down spectroscopy (CRDS), integrated cavity output spectroscopy (ICOS), and quartz-enhanced photo-acoustic spectroscopy (QEPAS). 1 Introduction Infrared laser absorption spectroscopy (LAS) is an extremely effective tool for the detection and quantification of molecular trace gases with demonstrated detection sensitivities ranging from ppmv and ppbv, to even pptv levels depending on the specific gas species and the detection method employed [1, 2]. These high sensitivities are obtained using fundamental vibrational molecular absorption bands in the mid-infrared (wavelength range from 3 to 24 µm). Absorption spectra in the mid-IR of several small molecules of potential interest for trace gas monitoring are depicted in Fig. 1. The upper panel shows absorption spectra in the atmospheric window between the bending fundamental of water centered at around ∼ 1600 cm −1 and the water OH stretches starting above 3200 cm −1. The lower panel shows absorption spectra in the atmospheric window below the water bending fundamental. The logarithmic ordinate scales are the integrated intensities of the lines on a per-molecule basis. Since the peak absorption is the integrated absorption divided by the line width, the Doppler limited peak absorptions will be correspondingly higher relative to the integrated absorption number at lower frequencies as the Doppler width is proportional to frequency. Because the vibrational fundamentals have the largest absorption coefficients, they are the most suitable for high sensitivity trace gas detection of small and large molecules provided appropriate tunable laser sources are available. For real world trace gas monitoring applications, these laser sources should be compact and continuous wave (cw), efficient, and operate at near room-temperature and be reliable for long periods of time. Existing tunable cw lasers operating in the mid-infrared include cw lead salt diode lasers, coherent sources based on difference frequency generation (DFG), optical parametric oscillators (OPOs), tunable solid state lasers, quantum and in-terband cascade lasers. Sensors based upon lead salt …
Ubiquitous House and Unconstrained Monitoring Devices for Home Healthcare System

This paper suggests a healthcare monitoring system using unconstrained measurement devices with ubiquitous techniques. These measurement devices are developed into built-in type and sensor type. The first devices are built-in the households (bed, sofa and toilet seat) and measure the patient's heart and respiration activity and estimate a blood pressure. The second devices are placed in a kitchen, front door and every room and detect the patient's movements and activities. All digitized raw signals are transmitted to a main PC using Bluetooth wireless network from all ubiquitous devices and sent to hospital laboratory after an analyzing process. This paper suggest ubiquitous healthcare house (u-House) for a practical models of home healthcare system. And it can monitor the patient's daily health condition and activity in an unconstrained manner.
What factors are associated with recent intimate partner violence? findings from the WHO multi-country study on women's health and domestic violence

BACKGROUND
Intimate partner violence (IPV) against women is a global public health and human rights concern. Despite a growing body of research into risk factors for IPV, methodological differences limit the extent to which comparisons can be made between studies. We used data from ten countries included in the WHO Multi-country Study on Women's Health and Domestic Violence to identify factors that are consistently associated with abuse across sites, in order to inform the design of IPV prevention programs.


METHODS
Standardised population-based household surveys were done between 2000 and 2003. One woman aged 15-49 years was randomly selected from each sampled household. Those who had ever had a male partner were asked about their experiences of physically and sexually violent acts. We performed multivariate logistic regression to identify predictors of physical and/or sexual partner violence within the past 12 months.


RESULTS
Despite wide variations in the prevalence of IPV, many factors affected IPV risk similarly across sites. Secondary education, high SES, and formal marriage offered protection, while alcohol abuse, cohabitation, young age, attitudes supportive of wife beating, having outside sexual partners, experiencing childhood abuse, growing up with domestic violence, and experiencing or perpetrating other forms of violence in adulthood, increased the risk of IPV. The strength of the association was greatest when both the woman and her partner had the risk factor.


CONCLUSIONS
IPV prevention programs should increase focus on transforming gender norms and attitudes, addressing childhood abuse, and reducing harmful drinking. Development initiatives to improve access to education for girls and boys may also have an important role in violence prevention.
A Context Modeling Survey

Context-awareness is one of the drivers of the ubiquitous computing paradigm, whereas a well designed model is a key accessor to the context in any context-aware system. This paper provides a survey of the the most relevant current approaches to modeling context for ubiquitous computing. Numerous approaches are reviewed, classified relative to their core elements and evaluated with respect to their appropriateness for ubiquitous computing.
Late Neogene evolution of the western South Aegean volcanic arc: sedimentary imprint of volcanicity around Milos

Abstract The distribution and stratigraphy of volcanic rocks around the island of Milos has been interpreted from seismic reflection profiles. A consistent seismic stratigraphy can be recognised in the major basins, which contain mostly hemipelagic to low-energy gravitative sedimentation interrupted only locally by mass-transport deposits, despite the proximity to volcanic islands. Volcanic rocks have a distinctive rather incoherent acoustic signature and in places overlie stratified marine sediment. Their age is inferred from position relative to the Messinian seismic marker and by correlation with volcanic episodes dated on land. Volcanic rocks underlie an area five times larger than the present outcrops of volcanic rocks on Milos and adjacent islands. The main phase of volcanism was of late Pliocene age. It locally overlies folded lower Pliocene strata. In places the volcanic rocks have been planed off by Quaternary coastal erosion surfaces and have subsequently subsided, at rates of 0.2–0.35 mm/yr. Basin margins appear to have been generally stable, probably as a consequence of the relatively shallow water depths. Volcano flank failure deposits do not appear to be a major component of the sedimentary architecture.
Manual lymphatic drainage versus exercise in the early postoperative period for breast cancer.

OBJECTIVE
To compare the effect of active exercise and manual lymphatic drainage (MLD) on postoperative wound healing complications, shoulder range of motion (ROM) and upper limb (UL) perimetry in women undergoing radical mastectomy for breast cancer.


METHODS
Controlled non-randomized clinical trial with 89 women undergoing breast cancer surgery with axillary lymph node dissection (Brazilian Registry of Clinical Trials: 906). Women were matched for staging, age and body mass index, with 46 women allocated to the exercise group and 43 in the MLD group, receiving 2 weekly sessions during one month. Assessments were performed in the preoperative and 60 d after surgery, including inspection, palpation, goniometry and perimetry.


RESULTS
No significant difference existed between groups relative to individual and clinical surgical characteristics. The incidence of seroma, number of punctures performed, dehiscence and infection was similar in both groups. A comparison of shoulder ROM and UL perimetry between groups, obtained in the preoperative and postoperative period, did not show any significant difference.


CONCLUSION
The performance of active exercise or MLD did not demonstrate difference in wound healing complications, shoulder ROM and UL perimetry at 60 d after surgery, suggesting that these techniques may be employed, according to the complaints or symptoms of each woman and physical therapist experience.
Routing betweenness centrality

Betweenness-Centrality measure is often used in social and computer communication networks to estimate the potential monitoring and control capabilities a vertex may have on data flowing in the network. In this article, we define the Routing Betweenness Centrality (RBC) measure that generalizes previously well known Betweenness measures such as the Shortest Path Betweenness, Flow Betweenness, and Traffic Load Centrality by considering network flows created by arbitrary loop-free routing strategies.
 We present algorithms for computing RBC of all the individual vertices in the network and algorithms for computing the RBC of a given group of vertices, where the RBC of a group of vertices represents their potential to collaboratively monitor and control data flows in the network. Two types of collaborations are considered: (i) conjunctive—the group is a sequences of vertices controlling traffic where all members of the sequence process the traffic in the order defined by the sequence and (ii) disjunctive—the group is a set of vertices controlling traffic where at least one member of the set processes the traffic. The algorithms presented in this paper also take into consideration different sampling rates of network monitors, accommodate arbitrary communication patterns between the vertices (traffic matrices), and can be applied to groups consisting of vertices and/or edges.
 For the cases of routing strategies that depend on both the source and the target of the message, we present algorithms with time complexity of O(n2m) where n is the number of vertices in the network and m is the number of edges in the routing tree (or the routing directed acyclic graph (DAG) for the cases of multi-path routing strategies). The time complexity can be reduced by an order of n if we assume that the routing decisions depend solely on the target of the messages.
 Finally, we show that a preprocessing of O(n2m) time, supports computations of RBC of sequences in O(kn) time and computations of RBC of sets in O(n3n) time, where k in the number of vertices in the sequence or the set.