Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of different blood purification techniques on interleukin-28 and mineral levels in patients

Objective: To investigate the effects of different combinations of blood purification techniques on interleukin-28 and mineral levels, and the effects of these combinations on the incidence of mineral and bone disorder (MBD) and inflammatory reaction in maintenance hemodialysis patients. Materials and methods: A total of 150 maintenance hemodialysis patients were divided into the hemodialysis group (HD group, n = 51), hemodialysis plus hemodiafiltration group (Group A, n = 56), and hemodialysis plus hemoperfusion group (Group B, n = 43). The changes of interleukin-28 (IL-28), calcium (Ca), phosphate (P), intact parathyroid hormone (IPTH), fibroblast growth factor 23 (FGF-23), β-cross-linked C-telopeptide of type 1 collagen (β-CTX), and procollagen type 1 N-terminal propeptide (P1NP) in three groups were evaluated. Results: The IL-28 and P levels were significantly increased in HD group after 6 months of treatment (P < 0.05). A significant decrease was found in IPTH levels in the Group A (P < 0.05), while a significant decrease in IL-28, IPTH, β-CTX, P1NP, and FGF-23 levels was noted in Group B (P < 0.05). IL-28, P, IPTH, β-CTX, P1NP, and FGF-23 levels in Group B were lower than that in HD group (P < 0.05). The number of patients with MBD and inflammatory reaction increased in the HD group. Conclusions: Hemodialysis plus hemodiafiltration is more effective than hemodialysis alone in the improvement of MBD and the inflammatory reaction; hemodialysis plus hemoperfusion has a stronger impact on the improvement of MBD.
Aalborg Universitet Knowledge coordination in distributed software management

Software organizations are increasingly relying on cross-organizational and cross-border collaboration, requiring effective coordination of distributed knowledge. However, such coordination is challenging due to spatial separation, diverging communities-of-practice, and unevenly distributed resources. We have therefore studied virtual meetings among the managers of a cross-organizational and cross-border joint venture who was highly dedicated to multimodal communication. Since coordination is most clearly noticeable when it is lacking, we investigated knowledge coordination by analyzing communication breakdowns on recordings of their combined teleconferencing and real-time collaborative modeling. As a result, we offer theoretical propositions that explain how distributed software managers can deal with communication breakdowns and effectively coordinate knowledge through multimodal virtual meetings.
Anatomy of the Lower Extremity

A solution to get the problem off, have you found it? Really? What kind of solution do you resolve the problem? From what sources? Well, there are so many questions that we utter every day. No matter how you will get the solution, it will mean better. You can take the reference from some books. And the anatomy of the lower extremity is one book that we really recommend you to read, to get more solutions in solving this problem.
Identification and functional characterization of a spliced rhesus rhadinovirus gene with homology to the K 15 gene of Kaposi ’ s sarcoma-associated herpesvirus

IP: 54.70. 40.11 On: Fri, 11 Jan 2019 02:46:55 Identification and functional characterization of a spliced rhesus rhadinovirus gene with homology to the K15 gene of Kaposi’s sarcoma-associated herpesvirus Linding Wang,3 Marcel Pietrek,3 Melanie M. Brinkmann,4 Anika Hävemeier, Irina Fischer, Bernd Hillenbrand, Oliver Dittrich-Breiholz, Michael Kracht,1 Simon Chanas, David J. Blackbourn and Thomas F. Schulz
Representing Compound Verbs in Indo WordNet

This paper proposes design for representing Indo-Aryan compound verbs in Indo WordNet. Storing these multiword expressions as a whole has been considered not a good idea because generalization will be missed and also some amount of redundancies will creep in the database. In stead we propose to set up a lexical link between a light verb and main verbs it combines with. The motivation of the design is triggered by the following observations: a) Light verbs are polysemous to their corresponding full verbs; however they are semantically bleached. b) CVs are lexical variants of their V1 component. By postulating a semantic relation of Compound verbs for V1s, we can establish the relation between CV and its V1 associate. By carefully examining the semantic nuances that light verbs add to the meaning of the main verb, the present paper also attempts to present ontology of aspect.
The geometry of dependence : solitary bee larvae prioritize carbohydrate over protein in 1 parentally provided pollen 2 3 4

10 1. Bees, important pollinators, have declined significantly in recent decades, and human11 induced changes to nutritional landscapes are partly responsible. Changes to nutritional 12 quality rather than quantity have been overlooked as a threat to bee health. Yet 13 knowledge of bee nutrition is currently largely restricted to adults of social species. 14 Larval stages, where most growth occurs, are relatively understudied perhaps because 15 most social bees provision progressively and collectively, making nutrition difficult to 16 trace. 17 2. In mass-provisioning solitary bees (Osmia bicornis L.), we can manipulate and follow 18 larval nutrition, and thereby determine effects of changes in diet quality. Under the 19 Geometric Framework for Nutrition, we restricted larvae to 6 diets: 3 20 protein:carbohydrate ratios and 2 nutrient concentrations. We asked: (a) which diets 21 maximise body size and survival, (b) what consumption rules do larvae follow when 22 nutrients are imbalanced? Finally, (c) given a choice of complementary diets, are larvae 23 able to select a dietary balance? 24 3. Larvae pupated after consuming a fixed carbohydrate amount, but tolerated a wide range 25 of protein. Body size and survival were maximised on our lowest P:C ratio diet, and 26 having consumed the most carbohydrate. When eating freely from two diets, larvae 27 converged on a P:C ratio of 1:1.8, but not an overall nutrient intake target. Nevertheless, 28 larvae maintained stable carbohydrate intake, while protein intake varied with the 29 available diet. 30 4. Our results suggest solitary bee larvae regulate carbohydrate most closely, but that 31 excessive indigestible material may limit their actual nutrient intake. Carbohydrate may 32 . CC-BY-NC-ND 4.0 International license peer-reviewed) is the author/funder. It is made available under a The copyright holder for this preprint (which was not . http://dx.doi. org/10.1101/397802 doi: bioRxiv preprint first posted online Aug. 22, 2018;
Using Gamification and Tangible User Interfaces to Treat Asthmatic Children

Approximately 20 per cent of the Norwegian population has or has had asthma by the age of 10. Treating children for asthma is often a cumbersome and time-consuming task. Research has shown that tangible user interfaces and mobile applications in medical care have given positive effects in a number of different settings. The BLOPP project group has previously proved that distracting the child while he/she is taking his/her asthma medicine is positive for the child's experience. In our research we aimed to answer ``How can gamification be used to motivate children to take their asthma medicine? '' and ``How can tangible user interfaces be used to help children with asthma? ''. To answer these questions, we have performed a literature study, conducted semi-structured interviews with domain experts and developed prototypes. A tangible user interface, AsthmaBuddy, and a smartphone application, AsthmAPP, was developed. These prototypes were then tested on children, as a validation test. During our research we have discovered several possibilities for how gamification can be used to motivate children with asthma, in addition to some ways gamification is not applicable to the situation. We have discovered several ways a TUI may help asthmatic children and their parents, such as keeping logs, informing, reminding and distracting the children during a treatment.
Information Retrieval in Domain Specific Search Engine with Machine Learning Approaches

As the web continues to grow exponentially, the idea of crawling the entire web on a regular basis becomes less and less feasible, so the need to include information on specific domain, domain-specific search engines was proposed. As more information becomes available on the World Wide Web, it becomes more difficult to provide effective search tools for information access. Today, people access web information through two main kinds of search interfaces: Browsers (clicking and following hyperlinks) and Query Engines (queries in the form of a set of keywords showing the topic of interest) [2]. Better support is needed for expressing one's information need and returning high quality search results by web search tools. There appears to be a need for systems that do reasoning under uncertainty and are flexible enough to recover from the contradictions, inconsistencies, and irregularities that such reasoning involves. In a multi-view problem, the features of the domain can be partitioned into disjoint subsets (views) that are sufficient to learn the target concept. Semi-supervised, multi-view algorithms, which reduce the amount of labeled data required for learning, rely on the assumptions that the views are compatible and uncorrelated. This paper describes the use of semi-structured machine learning approach with Active learning for the “Domain Specific Search Engines”. A domain-specific search engine is “An information access system that allows access to all the information on the web that is relevant to a particular domain. The proposed work shows that with the help of this approach relevant data can be extracted with the minimum queries fired by the user. It requires small number of labeled data and pool of unlabelled data on which the learning algorithm is applied to extract the required data. Keywords—Search engines; machine learning, Information retrieval, Active logic.
Interventions following a high violence risk assessment score Kaunomäki , Jenni 2017-0111

Background: Patient aggression and violence against staff members and other patients are common concerns in psychiatric units. Many structured clinical risk assessment tools have recently been developed. Despite their superiority to unaided clinical judgments, staff has shown ambivalent views towards them. A constant worry of staff is that the results of risk assessments would not be used. The aims of the present study were to investigate what were the interventions applied by the staff of a psychiatric admission ward after a high risk patient had been identified, how frequently these interventions were used and how effective they were. Methods: The data were collected in a naturalistic setting during a 6-month period in a Finnish psychiatric admission ward with a total of 331 patients with a mean age of 42.9 years (SD 17.39) suffering mostly from mood, schizophrenia-related and substance use disorders. The total number of treatment days was 2399. The staff assessed the patients daily with the Dynamic Appraisal of Situational Aggression (DASA), which is a structured violence risk assessment considering the upcoming 24 h. The interventions in order to reduce the risk of violence following a high DASA total score (≥4) were collected from the patients’ medical files. Inductive content analysis was used. Results: There were a total of 64 patients with 217 observations of high DASA total score. In 91.2% of cases, at least one intervention aiming to reduce the violence risk was used. Pro re nata (PRN)-medication, seclusion and focused discussions with a nurse were the most frequently used interventions. Non-coercive and non-pharmacological interventions like daily activities associated significantly with the decrease of perceived risk of violence. Conclusion: In most cases, a high score in violence risk assessment led to interventions aiming to reduce the risk. Unfortunately, the most frequently used methods were psychopharmacological or coercive. It is hoped that the findings will encourage the staff to use their imagination when choosing violence risk reducing intervention techniques.
The authors present two challenge – response Internet banking authentication solutions — one based on short

T he Internet is an integral part of our daily lives, and the proportion of people who expect to be able to manage their bank accounts anywhere, anytime is constantly growing. As such, Internet banking has come of age as a crucial component of any financial institution’s multichannel strategy. Information about financial institutions, their customers, and their transactions is, by necessity, extremely sensitive; thus, doing such business via a public network introduces new challenges for security and trustworthiness. Any Internet banking system must solve the issues of authentication, confidentiality, integrity, and nonrepudiation, which means it must ensure that only qualified people can access an Internet banking account, that the information viewed remains private and can’t be modified by third parties, and that any transactions made are traceable and verifiable. For confidentiality and integrity, Secure Sockets Layer/Transport Layer Security (SSL/ TLS) is the de facto Internet banking standard, whereas for authentication and nonrepudiation, no single scheme has become predominant yet. This article describes current authentication threats and two proposed solutions as well as how these solutions can be extended in the face of more complex future attacks. This work falls in line with recent federal regulator initiatives (see www.ffiec.gov/press/pr101205.htm and www. info.gov.hk/hkma/eng/press/2005/20050530e3_index. htm) requiring, or at least expecting, banks to rapidly adopt two-factor authentication for Internet banking.
Speech Synthesis by Articulatory Models

This paper is supposed to deliver insights into the various aspects associated with the field of articulatory sp eech synthesis. After a short overview of human speech production me chanisms and wave propagation in the vocal tract, the acoustic tube model is derived. Several kinds of articulatory models are presented. The “inverse problem” of model parameter estimation is addressed in some detail.
An Optimal KD Model for Crime Pattern Detection Based on Semantic Link Analysis-A Data Mining Tool

Knowledge discovery in databases is a rapidly growing field, whose development is driven by strong research interests as well as urgent practical, social, and economical needs. In this paper we look at the use of link analysis in data mining to help detecting the crime patterns and speed up the process of solving crimes. In our study, we have seen that how this data mining tool in knowledge discovery process learns the typical behavior (’profile’) of serial killers by applying link analysis, and helps in detecting the offender’s movements. We looked at the use of data mining for identifying crime patterns using semantic link association algorithm. Our contribution here was to formulate crime pattern detection as machine learning task and to thereby use data mining to support police detectives in solving crimes. We identified the significant attributes and developed the scheme for weighting the significant attributes. Our modeling technique was able to identify the crime patterns from a large number of crimes making the job for crime detectives easier.
P 2 . 57 PRECIPITATION STRUCTURE IN MIDLATITUDE CYCLONES

Midlatitude, or extratropical, cyclones (hereafter referred to simply as cyclones) are an important component of the atmospheric general circulation due to their ability to redistribute large amounts of heat, moisture, and momentum. Cyclones are driven by temperature gradients between the warm subtropics and the cold polar regions and are the primary atmospheric conduit for poleward energy transfer in the midlatitudes. Their influence on weather and climate and their consequences for life have resulted in extensive study of these systems, and a rich literature concerning the synoptic nature of cyclones extends from the Norwegian conceptual model introduced by Bjerknes (1919) through to the recent review edited by Shapiro and Grønas (1999). In this study we use reanalysis data to determine a cyclone-center-relative coordinate system into which various satellite data are transformed and then composited to provide a view of a cyclone from the perspective of the low pressure center. We have approached this compositing exercise assuming the following two premises. i) On average a cyclone will exhibit similar precipitation and cloud structure to another cyclone if the thermodynamic and mesoscale dynamical environments are comparable. ii) The thermodynamic and mesoscale dynamical environment for each cyclone can be categorized by two metrics that represent the mean atmospheric moisture and the mean cyclone strength. It has been previously surmised that the structural properties of clouds and precipitation within cyclones are a response to both their mesoscale dynamics and thermodynamically environment (e.g. Norris and Iacobellis, 2005, Chang and Song 2006). The intention of this study is to show that much of the variation between the precipitation and cloud composites of cyclones, for example, seasonal variability can be understood quantitatively in terms of cyclone strength and atmospheric moisture. Understanding the change in
Kobe University Repository : Kernel タイトル Tit le Incremental t raining of support vector machines using truncated hypercones 著者

We discuss incremental training of support vector machines in which we approximate the regions, where support vector candidates exist, by truncated hypercones. We generate the truncated surface with the center being the center of unbounded support vectors and with the radius being the maximum distance from the center to support vectors. We determine the hypercone surface so that it includes a datum, which is far away from the separating hyperplane. Then to cope with non-separable cases, we shift the truncated hypercone along the rotating axis in parallel in the opposite direction of the separating hyperplane. We delete the data that are in the truncated hypercone and keep the remaining data as support vector candidates. In computer experiments, we show that we can delete many data without deteriorating the generalization ability.
1 Systems Modelling of New Media Services 1

Energy consumption has long been identified as a major sustainability issue through its contribution to global greenhouse gas emissions and the limited supply of nonrenewable resources. Current research on energy consumption for online media distribution identifies server operations as a main contributor. Based on work with an online newspublishing group we explore the system dynamics of energy consumption in the distribution of media. Building on concepts developed in a causal loop model based on previous work we present a system dynamics model of energy consumption for online digital media distribution and explore a number of scenarios. According to the model we have developed the future dynamics of energy use for the delivery of media services are apparently bounded by three factors; i) the overall energy efficiencies deliverable by the ICT supply chain into the data centre, ii) the overall media “richness” of content and how that is effected by investment, mutualisation and content synergy, and iii) growth in the user base. Questions arising from the use of the abstractions for richness, synergy, and mutualisation in the modelling have opened up a profitable area of further work to explore. Keywords—strategy, sustainability, media services, news media, markets, substitutes, diffusion models
A registration method using downhill simplex method and its applications

1 Iwate Prefectural University, Sugo 152-52, Takizawa-shi, Iwate-ken, Japan doia@iwate-pu.ac. jp Abstract. In this paper, we proposed an effective method for time series CT image registration using Mutual Information (MI) and down hill simplex method. By using this method it was possible to obtain correct results in a shorter time. When we include all range of histogram in MI evaluation, the value of MI becomes worse. In order to prevent this problem, we determine an effective range of image histogram. Moreover, in order to speed up the convergence, we propose an effective initial positi n specification and geometry based finish condition (vector terminate). In the experiment, 3D rigid body alignment is performed successfully by six variables of movement and rotat i n.
Nanopolymers Delivery of the BoneMorphogenetic Protein-4 Plasmid toMesenchymal Stem Cells Promotes Articular Cartilage Repair In Vitro and In Vivo

The clinical application of viral vectors for gene therapy is limited for biosafety consideration. In this study, to promote articular cartilage repair, poly (lactic-co glycolic acid) (PLGA) nanopolymers were used as non-viral vectors to transfect rabbit mesenchymal stem cells (MSCs) with the pDC316-BMP4-EGFP plasmid. The cytotoxicity and transfection efficiency in vitro were acceptable measuring by CCK-8 and flow cytometry. After transfection, Chondrogenic markers (mRNA of Col2a1, Sox9, Bmp4, and Agg) of experimental cells (MSCs being transfected with BMP-4 plasmid by PLGA nanopolymers) were increased more than those of control cells (MSCs being transfected with naked BMP-4 plasmid alone). In vivo study, twelve rabbits (24 knees) with large full thickness articular cartilage defects were randomly divided into the experimental group (MSCs being transfected with BMP-4 plasmid by PLGA nanopolymers) and the control group (MSCs being transfected with naked BMP-4 plasmid). The experimental group showed better regeneration than the control group 6 and 12 weeks postoperatively. Hyaline-like cartilage formed at week 12 in the experimental group, indicating the local delivery of BMP-4 plasmid to MSCs by PLGA nanopolymers improved articular cartilage repair significantly. PLGA nanopolymers could be a promising and effective non-viral vector for gene therapy in cartilage repair.
Subjective well-being among adolescents : the power of personal achievements in school

Previous research has discussed wellbeing as a result of different welfare state arrangements but has not examined whether the effects are distinguished by generation. Focusing on subjective wellbeing and the group of adolescents and youth, we challenge the general proposition of social economic condition being a major predictor of wellbeing. We use two images present in the Swedish debate to generate hypotheses on mechanisms: First, there is the image of the highachieving girl who despite her good results in school, has lower levels of wellbeing, as a result of overwhelming ambitions. Second, there is the image of the boy who does not perform well in school and whose wellbeing is low because of lack of ambitions. Especially the first image translates into theoretical propositions that the importance of grades varies according to socioeconomic belonging and that it is more important for girls. We use a unique data-set combining data on subjective wellbeing with individual level data on school-achievements (grades) among high-school children in Sweden, aged 12-16 to test this idea. Clear gender differences are displayed and academic performance is positively related to wellbeing. Contrary to expectations we find that higher grades has a general positive effect of boy’s well-being. Girls have a lower wellbeing than boys, although, the same mechanisms are in most cases displayed for boys and girls. For girls, we however single out the group of lower white collar as being especially vulnerable for lower levels of wellbeing along mood and temper mediated through grades. Further, in regard of psychosomatic symptoms, “being stressed” is the most dividing factor between boys and girls. The group of girls shows a clear class-related pattern where girls from middle and higher white-collar origin are more stressed.