LLukas22/scidocs huggingface dataset:
Developing Dynamic Conflict Resolution Models Based on the Interpretation of Personal Conflict Styles

Conflict resolution is a classic field of Social Science research. However, with conflicts now also emerging in virtual environments, a new field of research has been developing in which Artificial Intelligence and particularly Ambient Intelligence are interesting. As result, the field of Online Dispute Resolution emerged as the use (in part or entirely) of technological tools to solve disputes. In this paper we focus on developing conflict resolution models that are able to adapt strategies in real time according to changes in the personal conflict styles of the parties. To do it we follow a novel approach in which an intelligent environment supports the lifecycle of the conflict resolution model with the provision of important context knowledge. The presented framework is able to react to important changes in the context of interaction, resulting in a conflict resolution approach that is able to perceive the parties and consequently achieve better outcomes.
Application of a quantification SWOT analytical method

In this paper we present a Quantified SWOT (Strengths, Weaknesses, Opportunities and Threats) analytical method which provides more detailed and quantified data for SWOT analysis. The Quantified SWOT analytical method adopts the concept of Multiple-Attribute Decision Making (MADM), which uses a multi-layer scheme to simplify complicated problems, and thus is able to perform SWOT analysis on several enterprises simultaneously. Container ports in East Asia are taken as a case study in this paper. Quantified SWOT analysis is used to assess the competing strength of each port and then suggest an adoptable competing strategy for each. c © 2005 Elsevier Ltd. All rights reserved.
On Minimum Discrepancy Estimation for Deep Domain Adaptation

In the presence of large sets of labeled data, Deep Learning (DL) has accomplished extraordinary triumphs in the avenue of computer vision, particularly in object classification and recognition tasks. However, DL cannot always perform well when the training and testing images come from different distributions or in the presence of domain shift between training and testing images. They also suffer in the absence of labeled input data. Domain adaptation (DA) methods have been proposed to make up the poor performance due to domain shift. In this paper, we present a new unsupervised deep domain adaptation method based on the alignment of second order statistics (covariances) as well as maximum mean discrepancy of the source and target data with a two stream Convolutional Neural Network (CNN). We demonstrate the ability of the proposed approach to achieve state-of-the-art performance for image classification on three benchmark domain adaptation datasets: Office-31 [27], Office-Home [37] and Office-Caltech [8].
MORE ON THE FIBONACCI SEQUENCE AND HESSENBERG MATRICES

Five new classes of Fibonacci-Hessenberg matrices are introduced. Further, we introduce the notion of two-dimensional Fibonacci arrays and show that three classes of previously known Fibonacci-Hessenberg matrices and their generalizations satisfy this property. Simple systems of linear equations are given whose solutions are Fibonacci fractions.
Semiconductor few-electron quantum dots as spin qubits

The experimental steps taken towards using the spin of a single electron trapped in a semiconductor quantum dot as a spin qubit1 is described. Fabrication and characterization of a double quantum dot containing two coupled spins has been achieved, as well as initialization and singleshot read-out of the spin state. The single-spin relaxation time was found to be of the order of a millisecond, but the decoherence time is still unknown. Concrete ideas – using a charge detection approach – on how to proceed towards demonstrating superposition and entanglement of spin states are presented. Single-spin manipulation relies on a microfabricated wire located close to the quantum dot, and two-spin interactions are controlled via the tunnel barrier connecting the respective quantum dots.
Derivation and validation of a diagnostic model for the evaluation of left ventricular filling pressures and diastolic function using mitral annulus tissue Doppler imaging.

BACKGROUND
Several modalities to diagnose diastolic dysfunction by transthoracic echocardiography (TTE) exist. We compared the ratio of early mitral filling velocity (E) to early diastolic velocity by tissue Doppler imaging at the medial (E/E'm) and the lateral (E/E'l) mitral annulus and developed a model to diagnose elevated left ventricular end-diastolic pressure (LVEDP).


METHODS
Sixty patients underwent same-day cardiac catheterization and TTE. Left ventricular end-diastolic pressure was recorded in addition to TTE data, including left atrial area (LAA), E/E'm, and E/E'l. An LVEDP >15 mm Hg was considered to be elevated and diagnostic of diastolic dysfunction.


RESULTS
E/E'm had a significantly higher correlation (r = 0.68, P < .001) than did E/E'l (r = 0.46, P < .001). By univariate analysis, LAA >18.75 cm(2), E/E'l >11.2, and E/E'm >15.75 were found to be significant predictors of high LV filling pressure. By multivariate binary logistic regression model analysis, only E/E'm and LAA were independent predictors of LVEDP >15 mm Hg. The presence of 1 variable had a sensitivity of 95% and a specificity of 43.4%, whereas the presence of 2 variables had a sensitivity of 76.2% and a specificity of 100%.


CONCLUSIONS
Use of a diagnostic model based on easily derived measurements such as E/E'm and LAA was a powerful noninvasive diagnostic modality for elevated LVEDP. Measurement of the mitral annulus velocity by tissue Doppler imaging at the medial aspect of the mitral valve appeared to be superior to that at the lateral aspect.
A maritime inventory routing problem: Discrete time formulations and valid inequalities

4 A single product maritime inventory routing problem in which the production and con5 sumption rates vary over the planning horizon is studied. The problem includes a heteroge6 neous fleet and multiple production and consumption ports with limited storage capacity. 7 Two discrete time formulations are developed. One is a standard formulation and the other 8 is a fixed charge network flow reformulation. Mixed integer sets arising from the decomposition 9 of the formulations are identified. Several lot-sizing relaxations are derived for the network 10 formulation and used to establish valid inequalities to strengthen the proposed formulations. 11 Considering a set of instances based on real data, a computational study is conducted to 12 test the formulations and the effectiveness of the inclusion of valid inequalities. By using a 13 branch and bound scheme based on the strengthened network formulation a large majority of 14 the instances with up to sixty time periods are solved to optimality. 15
Maxillary sinus vascular anatomy and its relation to sinus lift surgery.

OBJECTIVES
To investigate the prevalence, location, size and course of the anastomosis between the dental branch of the posterior superior alveolar artery (PSAA), known as alveolar antral artery (AAA), and the infraorbital artery (IOA).


MATERIAL AND METHODS
The first part of the study was performed on 30 maxillary sinuses deriving from 15 human cadaver heads. In order to visualize such anastomosis, the vascular network afferent to the sinus was injected with liquid latex mixed with green India ink through the external carotid artery. The second part of the study consisted of 100 CT scans from patients scheduled for sinus lift surgery.


RESULTS
An anastomosis between the AAA and the IOA was found by dissection in the context of the sinus anterolateral wall in 100% of cases, while a well-defined bony canal was detected radiographically in 94 out of 200 sinuses (47% of cases). The mean vertical distance from the lowest point of this bony canal to the alveolar crest was 11.25 ± 2.99 mm (SD) in maxillae examined by CT. The canal diameter was <1 mm in 55.3% of cases, 1-2 mm in 40.4% of cases and 2-3 mm in 4.3% of cases. In 100% of cases, the AAA was found to be partially intra-osseous, that is between the Schneiderian membrane and the lateral bony wall of the sinus, in the area selected for sinus antrostomy.


CONCLUSIONS
A sound knowledge of the maxillary sinus vascular anatomy and its careful analysis by CT scan is essential to prevent complications during surgical interventions involving this region.
Bonding to Zirconia ( A Systematic Review ) J Dental Sci Bonding to Zirconia ( A Systematic Review )

Zirconium oxide (ZrO2), or zirconia, is a metal oxide that was identified as a reaction product of heating the gem, zircon, by the German chemist Martin Heinrich Klaproth in 1789 [1]. Developments over the last 10–15 years in ceramic materials science for dental applications have led to a class of high strength materials (i.e. zirconiabased ceramics) which potentially provide better fracture resistance and long-term viability when compared to porcelain and other inorganic, non-metallic alternatives. There is a wealth of information in the scientific literature regarding the use of zirconia (ZrO2) in dental applications [2-4].
Efficient Online Multi-Person 2D Pose Tracking with Recurrent Spatio-Temporal Affinity Fields

We present an online approach to efficiently and simultaneously detect and track the 2D pose of multiple people in a video sequence. We build upon Part Affinity Field (PAF) representation designed for static images, and propose an architecture that can encode and predict Spatio-Temporal Affinity Fields (STAF) across a video sequence. In particular, we propose a novel temporal topology cross-linked across limbs which can consistently handle body motions of a wide range of magnitudes. Additionally, we make the overall approach recurrent in nature, where the network ingests STAF heatmaps from previous frames and estimates those for the current frame. Our approach uses only online inference and tracking, and is currently the fastest and the most accurate bottom-up approach that is runtime invariant to the number of people in the scene and accuracy invariant to input frame rate of camera. Running at ∼30 fps on a single GPU at single scale, it achieves highly competitive results on the PoseTrack benchmarks. 1
Pancreatic beta cell function persists in many patients with chronic type 1 diabetes, but is not dramatically improved by prolonged immunosuppression and euglycaemia from a beta cell allograft

We measured serum C-peptide (at least 0.167 nmol/l) in 54 of 141 (38%) patients with chronic type 1 diabetes and sought factors that might differentiate those with detectable C-peptide from those without it. Finding no differences, and in view of the persistent anti-beta cell autoimmunity in such patients, we speculated that the immunosuppression (to weaken autoimmune attack) and euglycaemia accompanying transplant-based treatments of type 1 diabetes might promote recovery of native pancreatic beta cell function. We performed arginine stimulation tests in three islet transplant and four whole-pancreas transplant recipients, and measured stimulated C-peptide in select venous sampling sites. On the basis of each sampling site’s C-peptide concentration and kinetics, we differentiated insulin secreted from the individual’s native pancreatic beta cells and that secreted from allografted beta cells. Selective venous sampling demonstrated that despite long-standing type 1 diabetes, all seven beta cell allograft recipients displayed evidence that their native pancreas secreted C-peptide. Yet even if chronic immunosuppression coupled with near normal glycaemia did improve native pancreatic C-peptide production, the magnitude of the effect was quite small. Some native pancreatic beta cell function persists even years after disease onset in most type 1 diabetic patients. However, if prolonged euglycaemia plus anti-rejection immunosuppressive therapy improves native pancreatic insulin production, the effect in our participants was small. We may have underestimated pancreatic regenerative capacity by studying only a limited number of participants or by creating conditions (e.g. high circulating insulin concentrations or immunosuppressive agents toxic to beta cells) that impair beta cell function. ClinicalTrials.gov NCT00246844 and NCT00006505.
Profiling grounded theory approaches in information systems research

Received: 3 October 2009 Revised: 22 June 2011 Accepted: 3 July 2011 Abstract Studies claiming to use the Grounded theory methodology (GTM) have been quite prevalent in information systems (IS) literature. A cursory review of this literature reveals conflict in the understanding of GTM, with a variety of grounded theory approaches apparent. The purpose of this investigation was to establish what alternative grounded theory approaches have been employed in IS, and to what extent each has been used. In order to accomplish this goal, a comprehensive set of IS articles that claimed to have followed a grounded theory approach were reviewed. The articles chosen were those published in the widely acknowledged top eight IS-centric journals, since these journals most closely represent exemplar IS research. Articles for the period 1985-2008 were examined. The analysis revealed four main grounded theory approaches in use, namely (1) the classic grounded theory approach, (2) the evolved grounded theory approach, (3) the use of the grounded theory approach as part of a mixed methodology, and (4) the application of grounded theory techniques, typically for data analysis purposes. The latter has been the most common approach in IS research. The classic approach was the least often employed, with many studies opting for an evolved or mixed method approach. These and other findings are discussed and implications drawn. European Journal of Information Systems (2013) 22, 119–129. doi:10.1057/ejis.2011.35; published online 30 August 2011
Fake News Detection

Information preciseness on Internet, especially on social media, is an increasingly important concern, but web-scale data hampers, ability to identify, evaluate and correct such data, or so called "fake news," present in these platforms. In this paper, we propose a method for "fake news" detection and ways to apply it on Facebook, one of the most popular online social media platforms. This method uses Naive Bayes classification model to predict whether a post on Facebook will be labeled as REAL or FAKE. The results may be improved by applying several techniques that are discussed in the paper. Received results suggest, that fake news detection problem can be addressed with machine learning methods.
On the Fortunes of Stock Exchanges and Their Reversals: Evidence from Foreign Listings

Using a sample that provides unprecedented detail on foreign listings, new listings, and delistings for 29 exchanges in 24 countries starting from the early 1980s, we document a growing tendency of listings to concentrate in the U.S. and the U.K., and large changes in all exchanges' ability to attract foreign companies. We highlight the following determinants of these patterns. First, during the sample period, investor protection improved in many countries. As investor protection improves in the country of origin, firms become less likely to list in countries with weak investor protection, but more likely to list in countries with strong investor protection, especially in the U.K. and the U.S. Second, we show that foreign listings are related to the exchange's market valuation in the same way that domestic equity issues are and that firms that are more difficult to evaluate are more inclined to list in foreign exchanges with high valuations. JEL Classification: G15, G38, M41, M4, F40
Factors contributing to the rapid rise of caesarean section: a prospective study of primiparous Chinese women in Shanghai

OBJECTIVE
To identify factors contributing to the rapid rise of caesarean section in Shanghai through the prospective observation of changes in the preferred mode of delivery in pregnancy among primiparous Chinese women.


DESIGN
Prospective study.


SETTING
Two general hospitals in Shanghai.


PARTICIPANTS
A cohort of 832 low-risk primiparous women participated in the investigation from 2010-2012 three consecutive times, from their second to third trimester and, finally, 1-2 days post partum.


METHODS
Participants were interviewed, using standard questionnaires, for information on demographic characteristics, maternal childbirth self-efficacy, their preference of delivery mode before childbirth and on the people most influential to them when making decisions on delivery mode. Caesarean section indications in the medical records were extracted by the investigators and assessed against clinical guidelines. Caesarean sections were categorised into three groups: guideline-defined indications, doctor-defined indications and maternal request.


MAIN OUTCOME MEASURES
Preferred mode of delivery; indications for caesarean section; actual mode of delivery; determinants of caesarean section.


RESULTS
Of 832 pregnant women enrolled, 13.2% preferred caesarean section in the second trimester. This figure rose to 17.0% in the third trimester among 599 followed women. Of 523 women completing all three interviews, 58.1% underwent caesarean section. However, 34.9% of women undergoing caesarean section did not have any indications listed in the clinical guidelines nor based on maternal request. Multinomial regression analysis showed that doctors' influence was one of the significant risk factors of undergoing caesarean section, with doctor-defined indications. Participants with low maternal childbirth self-efficacy were more likely to request caesarean sections themselves.


CONCLUSIONS
When deciding to deliver via caesarean section without justified clinical indications in the guideline, Chinese doctors played an important role in decision-making. Among primiparous Chinese women, decisions to use caesarean sections were often made during the third trimester or during the process of labour.
Demonstration of negative group delays in a simple electronic circuit

We present a simple electronic circuit that produces negative delays. When a pulse is sent to the circuit as input, the output is a pulse with a similar wave form that is shifted forward in time. The advance time or negative delay can be increased to the order of seconds so that we can observe the advance with the naked eye by observing two light emitting diodes that are connected to the input and the output. The negative group delay in the electronic circuit shares the same mechanism with superluminal light propagation, where the group velocity exceeds the speed of light or even becomes negative. ©2002 American Association of Physics Teachers. @DOI: 10.1119/1.1503378 #
A short-term follow-up of implant based breast reconstruction using a titanium-coated polypropylene mesh (TiLoop(®) Bra).

INTRODUCTION
A new approach for implant based breast reconstruction (IBBR) is the use of a titanium-coated polypropylene mesh (TCPM) as an alternative to acellular dermal matrix (ADM). This TCPM has a good biocompatibility and can be used similarly to ADM. The aim of this study is to discuss indications, limitations and complications of TCPM in IBBR.


METHODS
A retrospective analysis of 42 patients undergoing immediate or delayed IBBR using a TCPM was performed. Primary endpoints were incidence of infection and expander/implant with mesh removal due to infected fluid collection or extrusion.


RESULTS
In two patients, mild hematoma, seroma or infection occurred. Skin necrosis or capsular contraction was observed in one patient. Mesh explantation was needed in 3 cases. These events were higher among the first cases and in patients with postoperative skin infection (p = 0.003).


CONCLUSION
In selected patients with adequate soft tissue cover TCPM seems to be a helpful tool for implant stabilization in terms of lateral stabilization and fixation of the musculus pectoralis major. In comparison to ADM, TCPM is cheaper and initial results are promising, but further follow-up data are necessary. In patients with poor soft tissue cover ADM should be used.
Prognostic value of ventricular diastolic dysfunction in patients
with severe sepsis and septic shock

OBJECTIVES
To evaluate the prevalence of myocardial dysfunction and its prognostic value in patients with severe sepsis and septic shock.


METHODS
Adult septic patients admitted to an intensive care unit were prospectively studied using transthoracic echocardiography within the first 48 hours after admission and thereafter on the 7th-10th days. Echocardiographic variables of biventricular function, including the E/e' ratio, were compared between survivors and non-survivors.


RESULTS
A total of 99 echocardiograms (53 at admission and 46 between days 7 - 10) were performed on 53 patients with a mean age of 74 (SD 13) years. Systolic and diastolic dysfunction was present in 14 (26%) and 42 (83%) patients, respectively, and both types of dysfunction were present in 12 (23%) patients. The E/e' ratio, an index of diastolic dysfunction, was the best predictor of hospital mortality according to the area under the ROC curve (0.71) and was an independent predictor of outcome, as determined by multivariate analysis (OR = 1.36 [1.05 - 1.76], p = 0.02).


CONCLUSION
In septic patients admitted to an intensive care unit, echocardiographic systolic dysfunction is not associated with increased mortality. In contrast, diastolic dysfunction is an independent predictor of outcome.
The effects of controlled breathing during pulmonary rehabilitation in patients with COPD.

BACKGROUND
Conventional pulmonary rehabilitation programs improve exercise tolerance but have no effect on pulmonary function in patients with chronic obstructive pulmonary disease (COPD). The role of controlled breathing using respiratory biofeedback during rehabilitation of patients with COPD remains unclear.


OBJECTIVES
To compare the effects of a conventional 4-week pulmonary rehabilitation program with those of rehabilitation plus controlled breathing interventions.


METHODS
A randomized controlled trial was performed. Pulmonary function (FEV1), exercise capacity (6-min walking distance, 6 MWD), health-related quality of life (chronic respiratory questionnaire, CRQ) and cardiac autonomic function (rMSSD) were evaluated.


RESULTS
Forty COPD patients (mean±SD age 66.1±6.4, FEV1 45.9±17.4% predicted) were randomized to rehabilitation (n=20) or rehabilitation plus controlled breathing (n=20). There were no statistically significant differences between the two groups regarding the change in FEV1 (mean difference -0.8% predicted, 95% CI -4.4 to 2.9% predicted, p=0.33), 6 MWD (mean difference 12.2 m, 95% CI -37.4 to 12.2 m, p=0.16), CRQ (mean difference in total score 0.2, 95% CI -0.1 to 0.4, p=0.11) and rMSSD (mean difference 2.2 ms, 95% CI -20.8 to 25.1 ms, p=0.51).


CONCLUSIONS
In patients with COPD undergoing a pulmonary rehabilitation program, controlled breathing using respiratory biofeedback has no effect on exercise capacity, pulmonary function, quality of life or cardiac autonomic function.
Early sleep triggers memory for early visual discrimination skills

Improvement after practicing visual texture discrimination does not occur until several hours after practice has ended. We show that this improvement strongly depends on sleep. To specify the process responsible for sleep-related improvement, we compared the effects of 'early' and 'late' sleep, dominated respectively by slow-wave and rapid eye movement (REM) sleep. Discrimination skills significantly improved over early sleep, improved even more over a whole night's sleep, but did not improve after late sleep alone. These findings suggest that procedural memory formation is prompted by slow-wave sleep-related processes. Late REM sleep may promote memory formation at a second stage, only after periods of early sleep have occurred.