Miracle-dz/UniFAR-FTUs huggingface dataset:
IPF and lung cancer: homologous but different endings, the progress in the correlation research

Background: An increasing body of evidence has suggested that idiopathic pulmonary fibrosis is inclined to combine with lung cancer in recent years. Thus we studied the correlation of the two diseases to raise awareness of the risk of lung cancer in pulmonary fibrosis patients among doctors and patients. Methods: Data about the epidemiology, pathogenesis, clinical features and treatment strategies of idiopathic pulmonary fibrosis associated lung cancer cited in this review were obtained from major databases such as Pubmed, Web of Science, Embase, Scoups, Cancerlit and so on from 1957 to 2015. Results: The prevalence rate of lung cancer in pulmonary fibrosis patients is much higher than that in general population. Perturbed signaling pathways, epigenetic and genetic changes, and oxidative stress are all thought to be involved in the pathogenesis of idiopathic pulmonary fibrosis associated lung cancer. Hemoptysis and chest pain should be an alert for the presence of lung cancer in pulmonary fibrosis patients. The peripheral, lower, and highly fibrotic regions are the most common sites of lung cancer. Adenocarcinoma and squamous cell carcinoma are the most common types in idiopathic pulmonary fibrosis associated lung cancer patients. The treatment strategies including medication and surgery are controversial, complex and thorny. Conclusion: Idiopathic pulmonary fibrosis is associated with an increased lung cancer risk. It is necessary to raise awareness of lung cancer risk in idiopathic pulmonary fibrosis patients. Further research investigating the pathogenesis of idiopathic pulmonary fibrosis associated lung cancer could help develop newer therapeutic targets for treatment of idiopathic pulmonary fibrosis and lung cancer.
LESS IS MORE, OR MORE IS A MUST? A study on how European cross-sectorial social partners navigate when advocating their position on platform work.

This thesis aims at examining how cross industrial social partners seek legitimacy in a European context; a context defined by a patchwork of welfare regimes where the same kind of actors can come to contradictory solutions to the same problem. In focus are the European Trade Union Confederation (ETUC) and BUSINESSEUROPE (BE), and how they balance between claims on the social good and their own interest as an advocacy group while acting on a labour market, shaped by digitalisation and structural transformation. The problem examined is how legitimacy is maintained by the union and employer side respectively, by drawing on the theoretical framework of the institutional logic perspective. The method used is document analysis with both a quantitative and qualitative approach. Regarding the results, ETUC and BE is shown to direct focus to different problems and to construct different problem representations. Regarding the responsibility they see for political actors, ETUC engage more in protecting rights and BE more in developing resources. They derive legitimacy from mainly the same institutional logics but not in the same way, uncovering a tension between understanding the platform worker as exploited (ETUC) or as autonomous (BE). State logic is found to be the main area of conflict. The European context is also handled with different strategies, ETUC lifts the problems facing the workers and emphasise the need of protecting workers from unfair working conditions, regardless of national context. BE focuses on the need of respecting the different Members States own systems and uses the European context to argue against further regulations as minimum rights for platform workers as drawing on the principle of subsidiarity and the need of a regulatory framework that lets innovation flow and jobs and the economy grow.
A METHOD OF 3D MEASUREMENT AND RECONSTRUCTION FOR CULTURAL RELICS IN MUSEUMS

Three-dimensional measurement and reconstruction during conservation and restoration of cultural relics have become an essential part of a modem museum regular work. Although many kinds of methods including laser scanning, computer vision and close-range photogrammetry have been put forward, but problems still exist, such as contradiction between cost and good result, time and fine effect. Aimed at these problems, this paper proposed a structure-light based method for 3D measurement and reconstruction of cultural relics in museums. Firstly, based on structure-light principle, digitalization hardware has been built and with its help, dense point cloud of cultural relics' surface can be easily acquired. To produce accurate 3D geometry model from point cloud data, multi processing algorithms have been developed and corresponding software has been implemented whose functions include blunder detection and removal, point cloud alignment and merge, 3D mesh construction and simplification. Finally, high-resolution images are captured and the alignment of these images and 3D geometry model is conducted and realistic, accurate 3D model is constructed. Based on such method, a complete system including hardware and software are built. Multi-kinds of cultural relics have been used to test this method and results prove its own feature such as high efficiency, high accuracy, easy operation and so on.
Policy Salience and Election Outcomes in Contemporary American Presidential Elections (1972-2000): POLICY SALIENCE AND ELECTION OUTCOMES

This article examines the influence of policy salience on election outcomes using aggregate U.S. presidential election data and the American National Election Studies poll data from 1972 to 2000. It finds that salience influences election outcomes consistent with the Schattschneider-Lowi thesis that policy determines politics. While salience levels are typically low, relatively higher salience yields more popular votes for Republicans than Democrats. Consequently, Republicans typically win by higher margins and lose by smaller margins compared to Democrats. Moreover, an incumbent is likely to be reelected if his party s salience levels remain higher than the challenger s. Finally, the policy salience thesis provides useful clues in the quest for a unified voting theory. It suggests that voters rely on rationality and self-interest to obtain answers to two pertinent questions, whose answers determine how they vote: (1) what is the most important problem; and (2) who can address it? These questions also undergird other voting theories.
Design rules for additively manufactured wrist splints created using design of experiment methods

Research has shown that wrist splints can be made using Additive Manufacturing (AM) with a similar or greater performance than splints created using traditional manufacturing methods. By using AM, many of the problems associated with traditional splinting such as poor aesthetics and poor ventilation could be mitigated. However, work to date typically reviews splints with singular pattern designs (e.g. Voronoi patterns), which have structural and safety implications if similar but untested patterns are created. Using Design of Experiments (DOE) design rules were to enable clinicians to confidently design splints alongside their patients. Design rules were created by investigating variables of cut out patterns using DOE methods. Finite Element Analysis (FEA) of various combinations of cut out variables was conducted.
A Modified Crown Square Fractal Patch Antenna for Dual and Multiband Operation

A simple and efficient method of achieving multiband operation on a microstrip patch antenna is presented on this paper. The patch is designed by simply modifying the crown square geometry, which is fractal geometry. Multiband characteristic is obtained by the self similar property of the designed patch. Method to vary the operational frequencies for one antenna is also suggested. The physical dimensional parameters of the designed antenna can be adjusted so as to obtain the frequencies to some useful frequency ranges. The proposed antennas are giving broadside radiation on the working frequencies. The antennas are designed using finite element method based HFSS and its performance is demonstrated in terms of return loss, radiation pattern and VSWR.
A Real-Time Implementable NMPC Output Feedback for a Diesel Engine Air Path

In this paper, an experimental validation of a parameterized Nonlinear Model Predictive Control (NMPC) scheme with a Moving Horizon Observer (MHO) is presented for a Diesel engine air path. The control design based on the parameterized approach leads to a low dimensional optimization problem which makes the proposed controller real-time implementable. An attractive feature of this control strategy lies in its compatibility with more elaborated and fully nonlinear models since it uses the model as a black box predictor.
Web Mining pattern discovery

The aim of this paper is to show how web click stream data can be used to understand the most likely path of navigations in a Web site. The information deriving from such analysis can be usefully employed to efficiently design the Web site. We consider and compare both statistical methodologies (odds ratios and graphical models) and computational methodologies (association and sequence rules). These methodologies are applied to the analysis of a real set of data regarding an e-commerce web site of a company that sells hardware and software products.
Components of functional-structural tree models

Cet article a pour objet de faire une synthese des approches realisees dans le cadre de la modelisation fonctionnelle et structurale des arbres (FSM). Ces modeles resultent du couplage entre la modelisation du fonctionnement ecophysiologique d'arbres, d'une part, et la modelisation des processus morphologiques, d'autre part. Apres une breve presentation des approches existantes, nous introduisons la notion «d'unite elementaire ideale» (IEU) qui peut etre consideree comme la composante fondamentale des FSM au regard de la souplesse qu'elle confere dans l'articulation des processus. La distribution des metabolites et la croissance sont ensuite abordees comme etant les processus a resoudre de facon prioritaire dans le developpement des FSM, et les differentes approches pouvant etre mises a contribution dans la construction de ces modeles sont discutees. Enfin nous analysons les besoins en programmation des FSM, discutons des avancees necessaires et evaluons leur adequation a la resolution d'objectifs divers.
Framework for monitoring and congestion control on Packet Dropping in Mobile Ad-hoc Network

Packet Dropper nodes is a severe problem in MANET and they not only are harmful for the sender and receiver but they also lead to congestion in mobile ad-hoc networks as the sender may get involved in sending packets again and again as there is no acknowledgement from the receiver. Mobile ad hoc network is wireless network of mobile nodes, with no centralized management and control. Network congestion leads to reduced throughput, routing and lifespan, etc. of network packets. Dropping control packets may be beneficial for selfish nodes and malicious ones as well. For example, simply by dropping RREQ (Route Request) packets a selfish node could exclude itself from routes and thereby avoid receiving data packets to forward. Similarly, a malicious could drop RERR (Route Error) packets to keep the use of failed routes, potentially resulting in a denial of service.
The Determinants Of Demand For Private Medical Insurance: Evidence From The British Household Panel Survey

This paper examines the determinants of demand for private medical insurance in Great Britain using data from the British Household Panel Survey (BHPS). The main focus is the impact of quality and supply of public health care and the availability of private alternatives on demand. The personal characteristics that determine the demand for private medical insurance are also investigated. The empirical analysis uses a random effects probit model to investigate the individual purchase decision using a six-year panel from the BHPS. The results here suggest that income, age, sex, political party support and employment status are key determinants of the demand for private medical insurance as are being a smoker and living in an owner occupied house. The key findings are that regional waiting lists and public expenditure on health are significant determinants of the demand for private medical insurance indicating that recent increases in health expenditure and reductions in waiting lists may have crowded out some private insurance. JEL Classification: H4, I11, I18, C32
Relationships between Manicina areolata (Cnidaria : Scleractinia), Thalassia testudinum (Anthophyta) and Neogoniolithon sp (Rhodophyta)

The free-living coral Manicina areolata, the seagrass Thalassia testudinum, and the coralline algae Neogoniolithon sp. co-occur in the reef lagoon of Xahuayxol, Quintana Roo, in the Mexican Caribbean. The distribution and abundance of these organisms was measured. In order to study why the coral was distributed only within the medium-density stands of T. testudinum, but not in the high- or low- density stands of the seagrass, 3 size classes of M. areolata were transplanted into 3 naturally occurring seagrass densities. Mortality, displacement, righting reaction, zooxanthellae, mitotic index, and chlorophyll a were evaluated for the transplanted colonies. High mortality of M. areolata was recorded in the low-density zone of T. testudinum, attributable to siltation and preda- tion, whereas in the high-density zone of this seagrass, the coral was under stress, as indicated by a lowered zooxanthellae density. The fragile, arborescent algae Neogoniolithon sp. was found distrib- uted only within the medium-density zone of T. testudinum, and M. areolata selectively recruited onto that algae. Experiments in which the coral and algae were separated in the medium-density sea- grass zone demonstrated that Neogoniolithon sp. offers M. areolata adaptive and ecological advan- tages: its survivorship was significantly higher when attached to the algae than when this substrate was not available. Because of the natural distribution of Neogoniolithon sp. , the coral did not recruit in zones that would cause it stress, or even death. M. areolata and Neogoniolithon sp. eventually sep- arate because of the increase in size (and weight) of the coral, and the fragility of the algae. Thus, the distribution of Neogoniolithon sp. explained the distribution of M. areolata instead of the high nega- tive correlation found between the density of T. testudinum and the coral.
Early Detection of Mild Cognitive Impairment, Dementia and Alzheimer’s Using qEEG

Abstract This article reports the biomarkers of the Mild Cognitive Impairment (MCI) among the elderly group aged around 60-75 years old by analyzing the EEG signals recorded by using the quantitative electroencephalograph (qEEG). There is growing evidence that EEG analysis in resting state condition are useful in early detection of neural signatures of Alzheimer’s and dementia. EEG findings and analysis shows potential of discriminating MCI, Alzheimer’s and dementia. In this research, the purpose is to 1) develop the indexes for each of the EEG bands and sub-bands such as delta (1.5 – 3.5 Hz), theta (3.3 – 7.5 Hz), alpha ( 8 – 12 Hz), beta 1 (15 – 18 Hz) and beta 2 (22 – 30 Hz); 2) provide reference for early diagnosis; 3) extract and analyze the brainwave pattern of MCI and cognitively healthy group. This study involved 19 channel resting state EEG from a total of 30 subjects, 18 diagnosed as having MCI and 12 cognitively healthy elderly with criteria for inclusion if the mini mental state examination (MMSE) score is more than or equal to 28, based on the age and educational level. Development of qEEG index started by decomposition of EEG by performing Fourier analysis, averaging and normalizing the value from the 19 channels to obtain the z-score. Findings showed promise of utility in early detection of Alzheimer’s. Notably, 1) Increases in delta/ theta posterior temporal and prefrontal area i.e., H(6.64) vs. MCI(26.29); beta temporal region, 2) Decreases in alpha at sensory motor region i.e., H(0.27) vs. MCI(0.23).
Supramolecular Self‐Assembly and Organization of Collagen at Solid/Liquid Interface: Effect of Spheroid‐ and Rod‐Shaped TiO2 Nanocrystals

The adsorption behavior of collagen on solid surfaces is a process that determines the role of this protein to mediate cell–material interaction. Herein, the mechanism of self‐assembly and organization of collagen on a model substrate is investigated in the presence of TiO2 nanoparticles. In solution, results show that nanoparticles do not alter the conformation of collagen (triple‐helix), and slightly delay the kinetics of its self‐assembly. In the adsorbed state, by exploring the dewetting patterns of collagen layers from atomic force microscopy (AFM) images, a method is developed to extract parameters describing the characteristics of collagen networks. It is shown that collagen layer is strongly impacted by the presence of nanoparticles in the medium. These results are consistent with the analysis of the protein layers in the hydrated state, showing a rigidification, as observed by quartz crystal microbalance with dissipation monitoring (QCM‐D), and the formation of shorter and/or less extended fibrillar structures with a lower surface density, as probed by AFM force spectroscopy. The approach described here provides a reconciliation between disparate views of collagen layers' characterization in the dried and the hydrated states. It also offers new perspectives to assess the impact of nanoparticles on the organization of collagen during in vitro tests, particularly at the stage of cell adhesion.
Disruption in Biogeosciences: Conceptual, Methodological, Digital, and Technological

claim that after our disruption that the rule was changed and that 20% went to data handling and 80% to science and discovery. We have yet to quantitatively evaluated this claim. This presentation conveys what data was needed, the barriers we encountered and the digital and technical solutions/ disruptions that led to discoveries from myriad sources in contrast to conventional approaches in prior discipline science, and more importantly how we spanned discipline boundaries.
Analysis of Net Causal Flows in Circuit of Premotor Control during Left Hand's Movement Readiness State

the previous research revealed some functional coupling among nodes in model of motor control in human brain, which described nondirectional synchronous actions among these nodes during movement-readiness state. However, causal relationships among these nodes, which represent some directional interactions in movement- readiness state, are still lack. In the present study, we used functional magnetic resonance imaging (fMRI) and conditional Granger causality (CGC) method to investigate the interactions in model of motor control in left hand's movement readiness state. Our results showed that upper precuneus (UPCU) and cingulated motor area (CMA) revealed net causal influences with contra lateral supplementary motor areas and contra lateral caudate nucleus during the left hand's movement-readiness state. The net causal flows among these nodes can construct a closed circuit, which is similar as the circuit found in monkey's brain and in human's brain in right hand's movement readiness state. This confirmed that there was an intrinsic circuit for motor control in either right hand's or left hand's movement readiness. Moreover, the results of Out-In degrees indicated that bilateral primary sensorimotor areas revealed competitive relationship during left hand's movement-readiness.
Sociopolitical Instability and Capital Accumulation in Developing Countries: Cross Country pooled data Evidence

This study shows that sociopolitical conflicts measured by peace building capacity in developing countries affect physical and human capital accumulation in selected 70 developing countries from all regions of the world during 2000-2004 by using econometric models. We conclude that sociopolitical instability negatively and significantly effect both physical and human capital accumulation in selected countries. Sociopolitical stability in developing countries by increasing peace building capacity is a necessary condition for accumulation of both, physical and human capital. Further this study found that a positive relationship between democracy and peace building capacity. More democracy in developing countries leads for promotion of peace building capacity and sociopolitical stability. Capital accumulation which is key source of economic growth is adversely affected by conflict and war in developing countries.
Effect of Feeding Management and Seasonal Variation on Fatty Acid Composition and Tocopherol Content of Cows’ Milk in Region of West Mediterranean, Turkey

Cow feeding plays a crucial role milk quality. The aim of the research was to examine the effects of two different feeding models and season variation (summer and winter) on fatty acid and tocopherol content of cow milk in two farms of West Mediterranean, Turkey. In one of examined farms, cows were fed pasture-based rations (n=12) and in another farm cows were fed commercial concentrate mix feed- based (n=12). Gross composition, fatty acids profile and tocopherol content of cows’ milk were analyzed. The percentages of fat and dry matter of grazed cows’ milk in summer season were higher than from cows’ milk fed with commercial concentrate ration. Concentration of palmitic acid (C16: 0), is higher in cows’milk fed pasture-based ration during summer period compared to that fed concentrate feed-based ration in summer and winter. In both seasons, the level of total tocopherols of cows’milk did not statistically differ between the groups. As a result, milk composition is affected by feeding management and seasonal variation. Likely, this change can be linked to grazing period and ration composition, which will influence potential nutritional qualities of the milk.
Optimal ILP-based approach for gate location assignment and scheduling in quantum circuits

Physical design and synthesis are two key processes of quantum circuit design methodology. The physical design process itself decomposes into scheduling, mapping, routing, and placement. In this paper, a mathematical model is proposed for mapping, routing, and scheduling in ion-trap technology in order to minimize latency of the circuit. The proposed model which is a mixed integer linear programming (MILP) model gives the optimal locations for gates and the best sequence of operations in terms of latency. Experimental results show that our scheme outperforms the other schemes for the attempted benchmarks.
THE EFFECT OF FIRE ON THE POPULATION VIABILITY OF AN ENDANGERED PRAIRIE PLANT

We examined the effects of fire on population growth rate and extinction probability of a rare prairie plant. Lomatium bradshawii (Apiaceae) is an endangered species of western Oregon and Washington prairies that were frequently burned by Native Americans prior to the late 1800s. Using data from mapped plants in two populations subjected to different fall burning frequencies over a six-year period, we constructed stochastic transition matrix models to evaluate the effects of fire on the viability of the populations. Stochasticity was incorporated into the models through two methods performed by widely used computer programs: randomly shuffling whole annual matrices (using POPPROJ2), or selecting each matrix element from a distribution with observed mean and variance (with RAMAS/stage). Log-linear analysis was used to test for site and treatment effects on transition rates. Unburned plots had stochastic population growth rates (λs) of 0.905–0.927, depending on the site and stochastic method. Burning twice .