Miracle-dz/UniFAR-FTUs huggingface dataset:
Abstract—Inverse analysis is a promising tool for quantitative evaluation offering informative model-based prediction and providing accurate reconstruction results without pre-inspections for characterization criteria. For traditional defect inverse reconstruction, a large number of parameters

Inverse analysis is a promising tool for quantitative evaluation offering informative model-based prediction and providing accurate reconstruction results without pre-inspections for characterization criteria. For traditional defect inverse reconstruction, a large number of parameters are required to reconstruct a complex defect, and the corresponding forward modelling simulation is very time-consuming. Such issues result in ill-posed and complex inverse reconstruction results, which further reduces its practical applicability. In this paper, we propose and experimentally validate an inversion technique for the reconstruction of complexly-shaped delamination defects in a multilayered metallic structure using signals derived from infrared thermography (IRT) testing. First, we employ a novel defect parameterization strategy based on Fourier series fitting to represent the profile of a complicated delamination defect with relatively few coefficients. Secondly, the multi-medium element modelling method is applied to enhance a FEM fast forward simulator, in order to solve the mismatching mesh issue for mesh updating during inversion. Thirdly, a deterministic inverse algorithm based on a penalty conjugate gradient algorithm is employed to realize a robust and efficient inverse analysis. By reconstructing delamination profiles with both numerically-simulated IRT signals and those obtained through laser IRT experiments, the validity, efficiency and robustness of the proposed inversion method are demonstrated for delamination defects in a double-layered plate. Based on this strategy, not only is the feasibility of the proposed method in Infrared thermography NDT validated, but the practical applicability of inversion reconstruction analysis is significantly improved.
Research of Bioavailability of Chinese Materia Medica Preparation

Bioavailability was important evaluation index of safety and effectiveness of drugs.Consult data library such as Wan Fang,CNKI,OVI and so on,comprehensive analyzed and reviewed more than 150 related data recent 10 years from domestic and abroad.Summarized the influencing factors of bioavailability from two aspects of medicine and biology,consist of the form of drugs,physicochemical property,the preparation technology,physiological environment of gastrointestinal,the delivery time and way and so on.Some new research ideas like the pro-drug strategy,the gastro-retentive drug delivery system,cyclodextrin closure technology,solid dispersion technique,co-grinding technology,nano-technology etc.for improving bioavailability of traditional chinese medicine(TCM)preparations were discussed in order to provide reference for the research on modernization of TCM preparations.
A comparison of object-triple mapping frameworks

Domain-independent information systems like ontology editors provide only limited usability for non-experts when domain-specific linked data need to be created. On the contrary, domain-specific applications require adequate architecture for data authoring and validation, typically using the object-oriented paradigm. So far, several frameworks mapping the RDF model (representing linked data) to the object model have been introduced in the literature. In this paper, we develop a novel framework for comparison of object-triple mapping solutions in terms of features and performance. For feature comparison, we designed a set of qualitative criteria reflecting object-oriented application developer’s needs. For the performance comparison, we introduce a benchmark based on a real-world information system that we implemented using one of the compared OTM solutions – JOPA. We present a detailed evaluation of a selected set of object-triple mapping libraries and show that they significantly differ both in terms of features and time and memory performance.
Numerical analysis of parameters affecting turbulent boundary layer trailing edge noise

In the present study, one of the most important mechanisms of aerodynamic noise generation is investigated numerically. Large-eddy simulation approach used to solve the unsteady flow equations of turbulent boundary layer with Mach number 0.06 over a flat plate of length 30-cm. Lund's inflow boundary model used to reduce the computational cost. In order to evaluate the parameters affecting trailing edge noise (including surface pressure spectra, spanwise length scale of the surface pressure fluctuations and eddy convection velocity), data of surface pressure fluctuations values in different points over the flat plate surface are collected using the probe tool in OpenFOAM software. Based on the calculated parameters affecting the trailing edge noise, the far-field noise is predicted using analytical Amiet-Roger model. The results showed that the numerical solution method used in this study is capable of predicting the effective parameters on the trailing edge noise with a reasonable computational cost. Studying the spectral parameters affecting the turbulent boundary layer trailing edge noise showed that prediction and direct estimation of these parameters can be used to predict the far-field noise propagation. Moreover, these parameters can provide proper information on physics of the flow and dimensions and lifetime of turbulent boundary layer vortex structures.
ONLINE PRODUCT RANKING BASED ON REVIEWS

Online shopping is the trend nowadays; there has been an increasing demand for easy analysis of the many consumer reviews posted in the internet. The more number of reviews there are about a product, the more difficult it becomes for consumers to navigate through the reviews to arrive at an informed decision about the product. We propose a product feature ranking framework, which automatically identifies the important aspects of products from online consumer reviews, aiming at improving the usability of the various reviews. The important product aspects are the specifications that are frequently commented on by the masses. The more frequent an aspect is mentioned, the more important it is to increase the overall opinion of the product by document level classification and extractive review summarization.
Detecting and Analyzing Communities in Social Network Graphs for Targeted Marketing

As the size of an online social group or community increases, so does the complexity of its network and the cost of understanding its structure. In this paper, we propose a different method of forming the social graph of such networks based on past interactions and like patterns to understand dynamics of a community on the social web. We perform analysis on this graph by utilizing a modularity algorithm to detect clusters and computing various metrics of node ranking to determine influential nodes, which can be used for viral and targeted marketing in these modules. Keywordssocial network analysis; social media marketing; network influence; community detection; network graphs;
Image Sentiment Analysis: Experimental Evaluation of Several Deep Learning Architectures

Image sentiment analysis is an important topic nowadays. It is possible to use it to classify an image at sentiment level, as negative, neutral or positive. However, to classify an image at this level is a hard challenge because its semantic meaning can represent many scenarios. In this paper, we present an analysis of several image classification methods that we evaluate to improve the state of the art in a large tweet data set.
Privacy-Preserving User Recruitment Protocol for Mobile Crowdsensing

Mobile crowdsensing is a new paradigm in which a requester can recruit a group of mobile users via a platform and coordinate them to perform some sensing tasks by using their smartphones. In mobile crowdsensing, each user might perform multiple tasks with different sensing qualities. Meanwhile, the users participating in the crowdsensing will ask for sufficient rewards to compensate for their expenditures. Hence, an important problem is how to recruit the users with minimum cost while achieving a satisfactory sensing quality for each task. Furthermore, in order to ease users’ worries about privacy disclosures, the user recruitment process needs to protect each user’s sensing quality and recruitment cost information from being revealed to other users or to the platform. In this paper, we propose two secure user recruitment problems for the cases where the recruitment costs of users are homogeneous and heterogeneous. After proving the NP-hardness of the problems, we design two secure user recruitment protocols by using secret sharing scheme. Both of the proposed protocols adopt greedy strategies, which can recruit nearly optimal users while ensuring that the total sensing quality of each task is no less than a given threshold. The difference lies in that the two greedy strategies are based on two unique utility functions. We analyze the approximation ratios of the two protocols and prove the security under the semi-honest model. Finally, we demonstrate the significant performance of the proposed protocols through extensive simulations and executions on real smartphones.
Exercise intensity is increased during upper limb movement training using a virtual rehabilitation system

Upper-limb (UL) training interventions are increasingly being developed using virtual reality (VR) platforms. However, since motor recovery is related to exercise intensity and task difficulty, it is important to determine whether these factors are considered in VR applications applied in different centers for patients with different motor impairment levels. We define exercise intensity as the total number of movement repetitions divided by the total minutes in active therapy.The main objective of this study was to determine the training intensity of a clinically-applied treatment program using VR in 3 centers involved in a multi-site study. Our secondary objective was to determine if training intensity differed among patients with different levels of UL sensorimotor impairment.Patients with sub-acute unilateral stroke in the middle cerebral artery area (<6 mo post-stroke) with Fugl-Meyer Assessment (FMA-UL) scores ranging from 14–57, completed 10 50-minute UL training sessions with a VR rehabilitation application over 2 weeks, in rehabilitation centers located in 3 countries. Total training time (minutes), total number of movement repetitions, and success rates were extracted from game activity logs. Intensity was calculated for each game for each participant, related to UL impairment and compared between centers.Exercise intensity was higher in one of the 3 centers (p<0.01). Participants had most difficulty with the games involving bilateral coordination and lateral reaching. Participants with higher FMA-UL scores had longer total training times (r = 0.40, p = 0.03) and started the training earlier within the subacute phase (r = −0.38, p = 0.04). Participants who used the VR system later in the subacute phase trained at a higher intensity than those who started earlier (r = 0.43, p = 0.02). However, their level of training intensity was not related to UL impairment.The level of intensity attained with this training program was much higher than that reported in current stroke therapy practice. Despite different training centers, therapists progressed patients through the training program using similar training principles. Therefore, VR rehabilitation systems can be used to deliver intensive exercise programs in a standardized way and can be tailored to individual impairment levels.
The Emerging Role of GC-MSCs in the Gastric Cancer Microenvironment: From Tumor to Tumor Immunity

Mesenchymal stem cells (MSCs) have been declared to not only participate in wound repair but also affect tumor progression. Tumor-associated MSCs, directly existing in the tumor microenvironment, play a critical role in tumor initiation, progression, and development. And different tumor-derived MSCs have their own unique characteristics. In this review, we mainly describe and discuss recent advances in our understanding of the emerging role of gastric cancer-derived MSC-like cells (GC-MSCs) in regulating gastric cancer progression and development, as well as the bidirectional influence between GC-MSCs and immune cells of the tumor microenvironment. Moreover, we also discuss the potential biomarker and therapeutic role of GC-MSCs. It is anticipated that new and deep insights into the functionality of GC-MSCs and the underlying mechanisms will promote the novel and promising therapeutic strategies against gastric cancer.
Constructing Local Stories for Global Insight: Detecting Dominant Structure Forrester’s Market Growth Model

Simulation reveals what the consequence of a feedback system is; however, it remains silent and mysterious about why. Identifying dominant structure to uncover why a system does what it does has been one of the central challenges in system dynamics modeling practices. This paper reports the application of pathway participation metrics in Forester’s classic market growth model to identify the dominant feedback structure in the observed behavior under alternative assumptions. It shows that the results are consistent with Forrester’s intuitive explanations. This paper offers some heuristic of understanding oscillatory systems. Simulation reveals what the consequence of feedback structures is; however, it remains silent and mysterious about why. Identifying the dominant structure to uncover why a system does what it does has been one of the central challenges in system dynamics modeling practices. Formal methods for detecting dominant structure have been developed over the last five decades to support explanations of system behavior. Similar to traditional intuitive approach in model analysis, pathway participation method begins with the variable of interest and its observed behavior, tells local stories of partial structure and strive to arrive at explanation of global attributes of observed behavior. Eigenvalue elasticity approach begins with global system level stories and is challenged with connecting those stories to the observed behavior. The first section of this paper describes methods of explanation in oscillatory systems and the formal approaches that have been developed to support these explanations. The second part of the paper reports the application of pathway participation metrics in market growth model and contrasts the findings with Forrester’s intuitive explanation. Explaining Oscillation: Oscillatory systems have been investigated from different perspectives. In the field of system dynamics, intuitive and simple explanation of oscillatory systems in terms of its feedback structure has been one of the main challenges. Graham (1977) investigates a wide range of questions related to the understanding of oscillation and outlines
High-Order Dual-Port Quasi-Absorptive Microstrip Coupled-Line Bandpass Filters

In this article, we present the first demonstration of distributed and symmetrical all-band quasi-absorptive filters that can be designed to arbitrarily high orders. The proposed quasi-absorptive filter consists of a bandpass section (reflective-type coupled-line filter) and absorptive sections (a matched resistor in series with a shorted quarter-wavelength transmission line). Through a detailed analysis, we show that the absorptive sections not only eliminate out-of-band reflections but also determine the passband bandwidth (BW). As such, the bandpass section mainly determines the out-of-band roll-off and the order of the filter can be arbitrarily increased without affecting the filter BW by cascading more bandpass sections. A set of 2.45-GHz one-, two-, and three-pole quasi-absorptive microstrip bandpass filters are designed and measured. The filters show simultaneous input and output absorption across both the passband and the stopband. Measurement results agree very well with the simulation and validate the proposed design concept.
Runners, repeaters, strangers and aliens: Operationalising efficient output disclosure control

Statistical agencies and other government bodies increasingly use secure remote research facilities to provide access to sensitive data for research and analysis by internal staff and third parties. Such facilities depend on human intervention to ensure that the research outputs do not breach statistical disclosure control (SDC) rules. Output SDC can be principles-based, rules-based, or something in between. Principles-based is often seen as the gold standard statistically, as it improves both confidentiality protection and utility of outputs. However, some agencies are concerned that the operational requirements are too onerous for practical implementation, despite these statistical advantages. This paper argues that the choice of output checking procedure should be seen through an operational lens, rather than a statistical one. We take a popular conceptualisation of customer demand from the operations management literature and apply it to the problem of output checking. We demonstrate that principles-based output SDC addresses user and agency requirements more effectively than other approaches, and in a way which encourages user buy-in to the process. We also demonstrate how the principles-based approach aligns better with the statistical and staffing needs of the agency.
Detection of Mycobacterium avium subsp. paratuberculosis in reproductive tissue and semen of naturally infected rams

Abstract Mycobacterium avium subsp. paratuberculosis (MAP) is the causative agent of paratuberculosis (PTB), disease that causes a syndrome of bad nutrient absorption, weight loss and eventually death. The intestine is the main target organ where the infection develops; however, there is evidence of infection by MAP in extra-intestine sites of sheep, including mesenteric nodes and semen. The aim of the study was to identify the presence of MAP in reproductive tissue and semen of infected Pelibuey rams in clinical state of PTB. Seven rams were used in clinical PTB state and a non-infected ram by MAP of the Pelibuey breed, confirmed by serology, nPCR and bacteriological culture, with average weight and age of 57.23 ± 1.73 kg and 2.91 ± 0.17 years, respectively. The presence of MAP was identified in different tissue samples: spleen (1/7, 14.3% and 2/7, 28.6%), small intestine (3/7, 42.9% and 4/7, 57.1%) and mesenteric lymph nodes (3/7, 42.9% and 3/7, 42.9%), with nPCR and culture, respectively. It was also identified in epididymis tissue (1/7, 14.3%), Cowper gland (2/7, 28.6%) and prostate (1/7, 14.3%), using nPCR, although without detection in culture. It was identified in testicular tissue in 42.8% (3/7; culture or nPCR technique), but in 28.6% (2/7) with both techniques. Finally, the presence of MAP was identified in 42.9% (3/7) of semen samples with nPCR; however, it was not detected through culture. In conclusion, the presence of MAP was identified in lymphatic, digestive tissue, and semen; the presence of MAP was reported for the first time in epididymis, Cowper gland, prostate and testicles of infected Pelibuey rams.
MODERNISATION OF COMPETITION POLICY AND EU GOVERNANCE 55 MODERNISATION OF COMPETITION POLICY AND EU GOVERNANCE

“Re-shaping” policy provides the opportunity for an inclusive approach to EU decision-making in dialogue with existing member-states and anticipated new members. The purpose of this paper is to examine the extent to which the governance process that underpinned the modernisation of EC competition policy (Council Regulation (EC) N0 1/2003, effective 1 May 2004) can be considered inclusive. This paper contributes to the small but growing literature that illustrates the complex interaction between governance and implementation of public policy. A multi-level approach is used to describe EC governance with respect to the implementation of revised competition policy. The process is evaluated through the levels of involvement of the key stakeholders, i.e. firms (national, European and non-European), consumers, national competition authorities (NCAs), the European Commission, and member states. Ultimate authority, however, remains vested in the Commission through legislation and institutionalism.
Psychological respect for patients with breast cancer using radial incision which gives better cosmetic outcome after conservative breast surgery

Background Breast cancer is considered as one of the most common cancers affecting women, and remains one of the world's biggest killers. Once diagnosed as a breast cancer patient, a woman can be exposed to psychological trauma that is manifested as stress, anxiety, and even depression. Since surgery is the most important part of breast cancer management protocol, the first time a woman looks to her body after surgery can be harmful. Despite this gloomy picture, there have been some dramatic modifications recently in the treatment of breast cancer, especially in early detected tumors. One of them is the clear shift towards more conserving surgeries that preserve an appreciable part of the breast mass. However, although breast-conserving surgery (BCS) is a good option in the treatment of breast cancer that helps to improve a patient's psychological situation, it has also its side effects, which includes pain, tenderness, tugging sensation in the breast, temporary swelling, or a change in the shape and contour of the remaining breast, together with change in the position of the nipple–areola complex, compared to the other side. Aims In this study, our main concern was how to make female cancer patients satisfied after surgical intervention, to respect their feelings, by not leaving them shy of their bodies for the rest of their lives. Here, the proposed surgical technique helps to achieve the best oncoplastic outcome for the breast shape and contour after surgery and to keep the most possible similarity between the affected breast and the intact one. From different types of skin incisions used in BCS, we chose the elliptical radial skin incision, which gives the best cosmetic configuration. This deeply helps to overcome the psychological trauma affecting these patients, which in turn improves their quality of life. Patients and methods In this study, 23 female patients with early breast cancer, were selected and categorized as stages I, II, and IIa breast cancer. Tumors were located at the supra-areolar region (upper outer and upper inner quadrants), and far from the nipple–areola complex. All patients fulfilled the criteria to undergo BCS, and also they refused any kind of breast reconstruction. The proposed surgical technique includes several steps: elliptical radial skin incision is used in all patients, with or without separate incision for axillary lymph node clearance, according to the tumor location; closure of the dead space after wide local excision, along its vertical axis of the wound, together with subcuticular skin closure. Conclusion We conclude that using this technique, especially in patients with pendulous breast gives a very satisfactory cosmetic outcome to both the patient and the surgeon, which decreases the severity of psychological trauma affecting these patients, and consequently improves their quality of life.