Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative study of the application of high-quality nursing care and routine nursing care in postoperative rehabilitation of breast cancer patients

Objective: The aim of this study was to investigate the impact of high-quality nursing care (HQNC) on postoperative recovery following breast cancer surgery. Methods: A total of 240 consecutive breast cancer patients, admitted from January 2015 to June 2017, were included and randomly assigned to the experimental group or control group, each group containing 120 patients. The experimental group received postoperative HQNC, while the control group received routine postoperative care. Assessments were made at 10 days, 1 month, and 3 months following breast cancer surgery, based on range of motion (ROM) of ipsilateral shoulder joints, visual analogue scale (VAS) scores of neck and shoulder pain, immune function (T-cell subset (CD3+, CD4+, CD8) counts and CD4/CD8 ratio), serum levels of interleukins (IL-1β, IL-2, IL-6), and Quality of Life Scale (QoLS) scores. Results: There were no significant differences in ROM or VAS scores between two groups before surgery or at 10 days after surgery (all P>0.05). However, the experimental group reported better shoulder mobility and improved VAS scores than controls at 1 month and 3 months postoperatively (all P<0.05). No significant differences were observed, prior to surgery, regarding immune function or QoLS scores (both P>0.05). However, after surgery, at 10 days, 1 month, and 3 months, the experimental group showed greater values of T-cell subset counts, interleukins levels, and QoLS scores than the control group (all P<0.05). Conclusion: HQNC contributes to postoperative recovery of shoulder function and immune function, thereby improving the quality of life in breast cancer patients.
University of Groningen Single-port one-stage bilateral thoracoscopic sympathicotomy for severe hyperhidrosis

Background: Primary palmar and/or axillary focal hyperhidrosis is a frequent disorder characterized by excessive sweating beyond physiological needs, often leading to a substantial impairment of quality of life. Over the years several minimally invasive surgical treatments have been described, however results vary, and due to a lack of uniform surgical approach, technique and nomenclature are often difficult to compare. In this prospective study we sought to evaluate the safety and effectiveness of our standardized technique of single-port, one-stage bilateral thoracoscopic sympathicotomy. Methods: On a prospective basis a hundred consecutive patients with severe or intolerable primary hyperhidrosis underwent one-stage bilateral single-port thoracoscopic sympathicotomy. Primary outcome was measured in prevs. post-operative Hyperhidrosis Disease Severity Scale scores. Location and extend of compensatory hyperhidrosis, and satisfaction with the procedure were registered. Results: A significant reduction in mean Hyperhidrosis Disease Severity Scale score (3.69 ± 0.47 preoperatively vs. 1.06 ± 0.34 postoperatively) (p < 0.001) was observed. In 97 (97%) out of the 100 enrolled patients a >80% reduction in sweat production was achieved. Compensatory hyperhidrosis was seen in 27 patients (27%). It was rated as mild by 21 patients (78%) and as moderate by 6 (22%) of these patients. No severe compensatory hyperhidrosis was reported. Major complications, such as intraoperative bleeding, infections, and Horner’s syndrome were not observed. Conclusions: Highly selective sympathicotomy at well-defined levels with a one-stage bilateral single-port transaxillary thoracoscopic approach is a save procedure, with excellent and reproducible immediate results in the treatment of primary palmar and/or axillary hyperhidrosis.
Model of Store Patronage Behaviour using SEM Approach

Despite a number of studies investigating store patronage behaviour, few studies actually address the nature of the Store Patronage Behaviour in India. This may have implications for the generalization of much research on retail store patronage behaviour, as official estimates of the Indian retail market growth is estimated to grow about 13 to 16% in the FI 2015 and the worth of the market is approximately $700b to $750b (Indian Retail Trends – 2014, Tata BSS). This paper attempts to develop a model of store patronage behaviour of customers in India using Structural Equation Model (SEM). Particular focus is given on consumers’ characteristics, buying intentions, store attributes and store patronage. Results from the study highlight the notion that how the retail store patronage behaviour should be conceptualized as a continuum rather than being regarded as dichotomous, and a statistical framework is proposed.
ESF-Short Visit Grant-Final Report Damiano Spina

The aim of the visit was to collaborate on the definition, design and development of a corpus of manually annotated microblog posts for entity profiling in Twitter. Given an entity (i.e., a brand, an organization, a person or a product), we want to answer the following question: What do people say about it in Twitter? More precisely, we consider this task as a two-step process: (i) identifying opinion targets on tweets and (ii) linking concepts that are opinion targets to Wikipedia articles. Thus, an opinion-based profiling of an entity in a microblog stream is given by extracting those concepts and entities that occurs as targets of opinions in a stream of microblog posts relevant to the entity. The applicant is a Ph.D. student at the UNED NLP & IR Group in Madrid, Spain. His MSc thesis, completed in 2011, is focused on company name disambiguation on Twitter [1]. He is currently investigating the task of social media monitoring for on-line reputation management. The University of Amsterdam has previously worked on fine-grained sentiment annotations and on semantic annotations, both on user generated content [2] and microblogs [3].
Nano-Particle Trapping by Wedge and V-Groove Waveguides

In this paper, we numerically show that Silicon-on-Insulator (SOI) based wedge and V-groove waveguides have much higher capability to trap nanoparticles compared with the traditional stripe waveguides. According to the calculations, the maximum trapping force exerted by the wedge and V-groove waveguides to a 5 nm radius nanoparticle can be 8.3 and 14 times greater than that of the stripe waveguide respectively.
1 The Gene Master Regulators ( GMR ) Approach 2 Provides Legitimate Targets for Personalized , 3 Time-Sensitive Cancer Gene Therapy 4

The dynamic and never exactly repeatable tumor transcriptomic profile of people 10 affected by the same form of cancer requires a personalized and time-sensitive approach of the 11 gene therapy. The Gene Master Regulators (GMRs) were defined as genes whose highly controlled 12 expression by the homeostatic mechanisms commands the cell phenotype by modulating major 13 functional pathways through expression correlation with their genes. The Gene Commanding 14 Height (GCH), a measure that combines the expression control and expression correlation with all 15 other genes, is used to establish the gene hierarchy in each cell phenotype. We developed the 16 experimental protocol, the mathematical algorithm and the computer software to identify the 17 GMRs from transcriptomic data in surgically removed tumors, biopsies or blood from cancer 18 patients. The GMR approach is illustrated with applications to our microarray data on human 19 kidney, thyroid and prostate cancer samples, and on thyroid, prostate and blood cancer cell lines. 20 We proved experimentally that each patient has his/her own GMRs, that cancer nuclei and 21 surrounding normal tissue are governed by different GMRs, and that manipulating the expression 22 has larger consequences for genes with higher GCH. Therefore, we launch the hypothesis that 23 silencing the GMR may selectively kill the cancer cells from a tissue. 24
ESF ELIAS Long Term Exchange Report

Over the month of April 2015, the author participated in an ESF ELIAS funded exchange from the University of Glasgow to the Vienna University of Technology (Technische Universität Wien). The exhcange was arranged with Dr. Andreas Rauber who is in works within the Department of Software Technology and Interactive Systems. The exchange lasted 4 weeks, however, the author spent the week prior to the exchange attending ECIR which was also taking place in TU Wien. 1 Purpose of the Visit The purpose of this exchange grant was to allow the candidate to meet with and participate in projects with researchers working in the field of retrievability (and related topics) outside of the University of Glasgow. The Vienna University of Technology was chosen as the destination for this visit due to the presence of Dr. Andreas Rauber, an Associate Professor at the Department of Software Technology and Interactive Systems (IFS). Dr. Rauber had previously supervised Shariq Bashir, a researcher who was very active in research utilising retrievability, and subsequently, was heavily involved in several publications on the effects and uses of retrievability (particularly in prior art/ patent retrieval) [4, 3, 5, 7, 6]. Dr. Rauber currently supervises several students in the IFS group working on a range of topics which include Aziz Taha, who works on hubness in retrieval, Serwah Sabetghadam who investigates reachability, and many other who work on various topics in which retrievability could be applied. Retrievability is a document centric evaluation measure that was introduced by Azzopardi and Vinay to provide an alternative perspective on how to evaluate systems [1]. The measure can estimate how likey a document is to be retrieved from the collection given a retrieval system. The results can then also be used to estimate the retrievability bias of a system by aggregating the individual document retrievability score with a measure like the Gini Coefficient [8] to gain an overview of the bias of the system. However, calculating the retrievability of documents has traditionally required very large numbers of queries to be issued to a system to get an estimate of document retrievability. Doing so on modern, large collections is proving extremely time consuming to the point that these evaluations cannot possibly be performed on these large collections
Protective effect of sweet grass and black berries beverages on ethanol-induced disturbances in brain fatty acids

__________________________________________________________________________________________ Purpose: To investigate influence of sweet grass and blackcurrant beverages on the level of free as well as phospholipid fatty acids and MDA lipid peroxidation product in the brain of rats intoxicated with ethanol (28 days). Materials and methods: Fatty acids profile in the rat brain was determined by gas chromatography while MDA level was examined by HPLC. Results: Alcohol intoxication contributed to increase in the level of the most of free as well as phospholipid fatty acids (saturated and unsaturated). The above changes are accompanied by a significant increase in the lipid peroxidation product – MDA. Similarly, drinking the sweet grass beverage as well as black currant juice leads to an increase in the level of the most of free as well as phospholipid fatty acids [saturated and unsaturated] while the increase after drinking of the black currant juice was higher than after sweet grass. Intoxication of rats drinking both natural beverages causes diminution of all fatty acids level while changes after black currant juice are more significant than after sweet grass. The level of MDA in the brain of rats intoxicated with ethanol and drinking natural beverages is lower than in the ethanol group. Conclusions: Beverages of sweet grass and to a higher degree black berries partially prevent disturbances in the brain fatty acids level and protects lipids against peroxidation caused by chronic ethanol intoxication.
Generic and adaptable online configuration verification for complex networked systems

Dynamic reconfiguration is viewed as a promising solution for today's complex networked systems. However, considering the critical missions actual systems support, systematic dynamic reconfiguration cannot be achieved unless the accuracy and the safety of reconfiguration activities are guaranteed. In this paper, we describe a model-based approach for runtime configuration verification. Our approach uses model-driven engineering techniques to implement a platform-independent online configuration verification framework that can operate as a lightweight extension for networked systems management solutions. The framework includes a flexible and adaptable runtime verification service built upon a high-level language dedicated to the rigorous specification of configuration models and constraints guarding structural correctness and service behavior conformance. Experimental results with a real-life messaging platform show viable overhead demonstrating the feasibility of our approach.
SPATIAL PATTERNS OF GROWTH OF THE BLUE MUSSEL , MYTILUS EDULIS , AND THE BROWN ALGA , SACCHARINA LATISSIMA , IN COASTAL WATERS SURROUNDING ORUST

The global anthropogenic pressure on coastal areas is a severe problem that is constantly up for debate. Human based activities are causing eutrophic areas, which in turn results in alterations in ecosystems and ecosystem services. During two decades the technique of integrated multi trophic aquaculture (IMTA) have been discussed as a potential way of minimalizing the nutrient load caused by human aquaculture, and by doing so also reducing coastal eutrophication. The idea with IMTA is to cultivate species from different trophic levels closely together to obtain a nutritional neutral system. For IMTA to reach full potential, optimal growth for the cultivated species have to be taken into consideration. In this thesis the optimal growth of blue mussels (Mytilus edulis) and sugar kelp (Saccharina latissima) cultivated in an IMTA system was investigated. The experiments were conducted in five water areas surrounding Orust and Tjörn on the Swedish west coast for 50 days during the spring 2016. The results showed that optimal growth for blue mussels is found in the more sheltered inner water areas. The corresponding results for sugar kelps presented higher growth in the outer areas, facing the open ocean. Further, IMTA cultivation of blue mussels and sugar kelp did not display any influence on optimal growth for neither species.
Modeling Reacting Flow with Uncertainty Quantification

Uncertainty quantification (UQ) in computational predictions is useful from an engineering point of view, where confidence intervals on predicted system behavior are necessary for design optimization. It is also useful from a scientific point of view, where model validation with respect to experimental measurements requires careful measures of uncertainty in both experimental data and computational predictions. In general, uncertainty in computational results can be due to both model and parametric uncertainty. The present work deals with the latter. We investigate the propagation of uncertainty from parameters to model outputs in the context of low Mach number reacting flow. The goal is to arrive at uncertainty “error-bars” on model outputs based on those of the parameters. Earlier studies have addressed this issue from various angles. To begin with, Monte Carlo (MC) techniques can be used in conjunction with parametric variations. However, this approach has significant computational requirements, and does not provide sensitivity information as regards the contributions of individual parameters to the output uncertainties—except by allowing one uncertain parameter at a time and losing the nonlinear coupling between parameters. Alternatively, sensitivity analysis [1, 2, 3] has been used to provide a measure of the dependence of model outputs on individual parameters, and as a basis for error-analysis [4] and variance-propagation [5, 1, 6, 7, 8] techniques. These techniques provide the variance in model outputs resulting from known variances in the parameters using rules of propagation of errors. However, this approach does not model higher-order non-linear couplings among parameter uncertainties. Perturbation techniques have also been used, based on Taylor series, with the typical limitations of small perturbations. Another approach, based on expanding the inverse of the stochastic operator in a Neumann series [9] is also limited to small perturbations. Recent UQ developments have been based on the use of Polynomial Chaos (PC) for stochastic representation of uncertainty. Polynomial chaos [10, 11, 12, 13, 14, 15, 16] is a member of the set of homogeneous chaos, first defined by Wiener [10]. Ghanem and Spanos [16] implemented a spectral PC expansion in terms of Hermite polynomials of gaussian basis functions with a finite element method for UQ. This was applied in the modeling of transport in porous media [17], solid mechanics [18, 19] and 1Abstract submitted to the 19th International Colloqium on the Dynamics of Explosions and Reactive Systems (ICDERS), Hakone, Japan, July 27–August 1, 2003.
Cash Flow Management and Credit Rating Quality 1

This paper examines the impact of cash flow management on the quality of bond ratings. Based on a sample of bonds issued by U.S. firms, we find CFO management affects bond rating quality, even after controlling for incentives to manage earnings. Specifically, we find CFO management reduces credit ratings predictability of debt default, increases the likelihood of missed defaults (i.e., more Type I errors), reduces the likelihood of assigning harsh ratings to non-defaulting issues (i.e., fewer Type II errors), and weakens rating informativeness as reflected in the association between bond ratings and bond yield spread. However, we do not find these bond rating qualities to be consistently associated with accrual-based earnings management. We also find the effects of CFO management on bond rating qualities are more pronounced for large debt issuers and less pronounced for financially-constrained firms. Taken together, our evidence highlights the range of adverse effects of CFO management on the quality of bond ratings and points to the trade-off of conflict of interest and reputational considerations faced by credit rating agencies.
Constraint-based approach for automatic spatial layout planning

Spatial layout planning generates two-dimensional layouts consisting of configuration of rectangles, and our new method represents the rectangles as an inconsistent sets of linear constraints. After that, we select the consistent sets from them by using constraint processing language. Because this type of problem is of the NP-complete class, we also introduce some redundant constraints such as qualitative relation and capacity. Redundant constraints generally slow a system, but with the partial (incremental) solver used for the's type of problem, redundant constraints may be useful in reducing the search space. Our approach is now being applied to the layout of personal homes. In this paper, we use this example to explain our approach and we describe our floor planning system TG-FP (Tokyo Gas Floor Planner) implemented by CLP (Constraint Logic Programming) Language. TG-FP can assist an architect by providing a large variety of feasible plans. In TG-FP, the only information that must be provided by the user is the definition of the room. We also point out the advantages of our approach with CLP language: advantages such as a declarative paradigm for easy description and efficiency for avoiding combinatorial explosion. <<ETX>>
Sustainability-Focused Knowledge Management in a Global Enterprise

Large industrial companies pursuing a strategy of ‘green’ management practices are required to balance competing interests among stakeholders while also managing the complex impact of their operations on the environment. We conducted a field study of the specific information challenges facing a global Fortune 150 industrial enterprise and the extent to which those challenges impact its sustainability efforts. We present our analysis of these challenges within the broader context of a distributed knowledge management (KM) framework based on the existing Belief- Action-Outcome (BAO) model [39], extended through the use of Enterprise Social Networking and Web 2.0. Our framework includes aspects of complex adaptive systems as well as a proposed set of specific technologies that can be deployed within the framework. These technologies include business intelligence enabled through mobile devices, tools for collaboration and social networking, and data visualization.
Random Scan Algorithm for Image Steganography in Scilab for Security Purposes

In this paper, after entering the Secret Key the encrypted data is generated by determining their class. After that encrypted data is hidden in random bits of cover image using XORing method. By doing XORing the probability of pixel variation reduces as compared to replacing method as done in LSB or Modified LSB method. In this paper calculate the MSE, PSNR and Correlation Factor for Random Scan Algorithm in Scilab. In this paper also draw histograms between Cover image and Stego image to show how much Pixels variation.
Hydrodynamics of an Extinct Amphibian B

The Paleozoic amphibia known as Diplocaulus, of the order Nectridia, are characterized by long tabular horns similar in planform to the wings of a modern jet airliner. Previous research on the hydrodynamics of the head were established from wind tunnel tests but with a fixed body position placed at zero incidence. The current paper examines the hydrodynamics and stability if both the head and body change incidence, in order to obtain an improved understanding of the overall hydrodynamics. It is found that the conditions would result in unstable motion indicating a high level of maneuverability. Under certain conditions of head and body orientation the situation is one of static equilibrium, assuming the drag is countered by the thrust produced by the tail. Assumptions are made regarding the densities of the body and head in order to determine buoyancy effects.
The Evolution of Islamic Management Research on Innovation

DOI: 10.21276/sjbms.2018. 3.5. 2 Abstract: The fundamentalists often perceive that Islam and its principles are a hindrance to innovation. Relevant, extensive research proved otherwise. For example, a comparison of research on innovation in the Islamic and non-Islamic perspective was made, which verified that Islam does promote innovation. As this is a content analysis paper, it is important to acknowledge that there are five types of innovation in Islamic banking. They are Islamic financial product innovation, Islamic bank process innovation, Islamic bank marketing innovation, innovation and risk management in Islamic finance, and Islamic work value and innovation. After comparing with research on innovation in the non-Islamic perspective, it was found that there is still a lack of protection for the innovation and the Islamic perspective also lack measures for the innovation.