Miracle-dz/UniFAR-FTUs huggingface dataset:
ROS Modification of Blood Redox Homeostasis by High-Intensity Interval Training

| Sprint interval training, a high-intensity interval training (HIIT) modality, is associated with improved plasma antioxidant capacity, which suggests that sprint interval training may have potential positive effects on health promotion. However, because its strenuous nature, sprint interval training may intimidate sedentary individuals. This study investigated the acute and chronic effects of HIIT on blood redox homeostasis, using a training protocol based on a higher number of bouts, of increased duration, performed at 90‒110% of aerobic peak power. Seventeen healthy physically active young men performed a single HIIT session, in cycle ergometer, composed of eight bouts of 1 min at 90% of peak power, intercalated with 75 sintervals of active recovery at 30 W. The plasma total antioxidant capacity was lower immediately after exercise (p = 0.05), an indicative of increased generation of reactive species in response to HIIT, and erythrocyte superoxide dismutase activity was increased (p = 0.03). No effect of acute HIIT session on blood thiobarbituric acid reactive substances (TBARS) content was observed. Nine of the initial seventeen volunteers engaged in a four-week progressive HIIT program, 3 days per week, totaling 12 training sessions. Each training session involved 8–12 cycling exercise bouts, at 90‒110 % peak power for 60 s with active recovery intervals of 75 s at 30 W. The plasma total antioxidant capacity as well as erythrocyte catalase activity were increased in response to training (p < 0.01 and p = 0.03, respectively), which may have contributed to the reduced TBARS content observed with erythrocytes (p = 0.05). Because HIIT improves blood redox homeostasis, it may have a potential therapeutic effect on the treatment of diseases related to redox imbalance, besides its health promotion effects.
Adaptive Collaborative Filtering Recommendation Algorithm Based on User Attributes

The rapid development of the Internet brings the convenience but also results in “information trek” problem, which is solved by personalized recommendation algorithms. Traditional collaborative filtering algorithms face data sparsity problem. In order to solve those problems, this paper proposes a dynamic adaptive collaborative filtering recommendation algorithm based on user attributes. The algorithm first uses the item properties to build the user preference matrix, and then establishes the user rating preference matrix according to different behavior habits of users. Finally, based on these two matrixes, it prefills and dynamically adjusts the rating matrix. Experimental results show that the algorithm is more accurate in terms of the recommendation accuracy compared with traditional algorithms.
Rehabilitation of an atrophic maxilla

32 INTERNATIONAL DENTISTRY – AFRICAN EDITION VOL. 8, NO. 6 1 Andoni Jones DDS, Private Practice, Dublin, Ireland The rehabilitation of a patient with atrophic jaws can be challenging for the dental team. Costs, healing periods, morbidity and complications can also be elevated for the patient. However, cone beam computed tomography (CBCT) and 3D implant planning software allow us to treat these patients in a less invasive and a more predictable way. Traditionally, treatment of patients with atrophic jaws requiring implant therapy involved complex grafting procedures and extended healing periods. Many patients rejected these treatment modalities due to their high complication and morbidity rates and costs. Since computer guided implant surgery was first introduced in 2002, digital technology has evolved into a very accurate tool. Inaccuracies in implant placement are considerably reduced, benefitting to a great extent those patients with atrophic jaws, in whom a very precise use of that limited bone for implant therapy is paramount. This article will discuss this approach and present a case report of a 56-year-old woman with an edentulous maxilla who wanted a fixed restoration. The lack of teeth and use of a complete denture for 25 years had resulted in a considerable bone resorption. She was treated using 3D planning and a surgical guide to place five implants that allowed us to transform her complete denture into an immediate fixed temporary restoration, and three months later she was restored with a permanent metal-ceramic fixed restoration.
Effect of Morningness-Eveningness Chronotype on Daily and Weekly Fluctuations in Aggression in Preschool Children

Background: The present study aimed at studying the morningness-eveningness chronotype (MEC) of daily and weekly biorhythm fluctuations in the aggression of preschool children. Methods: This was a causal-comparative study. The statistical population was preschool children in Tehran. One hundred children were selected through purposive sampling. They were examined at different times of day (08:00, 10:00, 13:00 and 15:00) and different days of the week (Saturday, Sunday, Monday, Tuesday and Wednesday). The data collection tool used was the MEC questionnaire for children, a behavioral questionnaire for preschool children and a self-report questionnaire about aggression. The data was analyzed using mixed ANOVA. Results: The results showed that the aggressive behavior of pre-school children in the educational environment varies throughout the day and week. Also, the aggressive performance of preschool children in the morning differed from that of mid-session children or evening-type children in the educational environment during the week (P<0.01). Conclusion: The results of the behavioral questionnaire showed that the effect of the group on the level of aggression was not significant, but the effect of the day of the week and time of day was significant. 2018© The Authors. Published by JRSR. All rights reserved. *Corresponding author: Massoud Sharifi, Department of Psychology, Shahid Beheshti University, Velenjak , Tehran, Iran.
Running Head : RISK TOOL VALIDITY IN JUSTICE-INVOLED YOUTH WITH FASD 1 An Evaluation of the Predictive Validity of the SAVRY and YLS / CMI in Justice-Involved Youth with Fetal Alcohol Spectrum Disorder

Despite the high prevalence of fetal alcohol spectrum disorder (FASD) in youth criminal justice settings, there is currently no research supporting the use of violence risk assessment tools in this population. This study examined the predictive validity of total and domain scores on the Structured Assessment of Violence Risk in Youth (SAVRY) and the Youth Level of Service/Case Management Inventory (YLS/CMI) in justice-involved youth with FASD. Participants were 100 justice-involved youth (ages 12 to 23, 81% male), including 50 diagnosed with FASD and 50 without FASD or prenatal alcohol exposure. The SAVRY and YLS/CMI were prospectively coded based on interview and file review, with recidivism (both any and violent specifically) coded one-year post baseline assessment. Results provide preliminary support for the validity of the SAVRY and YLS/CMI in predicting recidivism in justice-involved youth with FASD. Higher ratings across SAVRY and YLS/CMI domains were found in youth with FASD, underscoring a critical need for assessments and interventions to buffer recidivism risk and address clinical needs.
Interactive comment on “ Benchmarking the predictive capability of hydrological models for river flow and flood peak predictions across a large-sample of catchments in Great Britain ” by Rosanna A

This study compares four structures from the framework FUSE in 1100 UK catchments. This is, in itself, a significant achievement. The authors highlight which structures perform best in different regions (Results Section) and then discuss more generally why models fail and which improvements would be necessary to improve performance (Discussions Section). I think that, ultimately, the goal of such model intercomparison is to provide guidance on i) model selection (i.e., can specific models/modules be recommended based on basin attributes? ) and ii) model development (i.e., are there specific process parameterisations that are currently missing, but are needed to improve the
MANAGERIAL ABILITY , MANAGEMENT COMPENSATION , BANKRUPTCY RISK , AND TAX AGGRESSIVENESS

This study aims to examine the effect of managerial ability, management compensation and bankruptcy risk on tax aggressiveness. The sample used in this research are manufacturing companies listed on the Indonesia Stock Exchange (BEI) during the period of 2011 to 2015. Using purposive sampling, this research obtained data from 36 companies. So the total sample in this study amounts to 180 observation data. Managerial ability is measured by Data Envelopment Analysis (DEA) and Tobit regression referring to Park et al. (2015). Management compensation is measured by the total compensation received by the director during the fiscal year (Armstrong et al., 2012). Then the risk variables of bankruptcy will be measured by Altman’s prediction model of bankruptcy (Altman and Hotchkiss, 1995, 2006). The result suggests that managerial ability has a positive effect on tax aggressiveness. Meanwhile, management compensation has a negative effect on tax aggressiveness. Furthermore, the bankruptcy risk has a positive effect on tax aggressiveness.
Privacy-Preserving Cloud Establishment and Data Dissemination Scheme for Vehicular Cloud

Vehicular cloud (VC) extends cloud computing to vehicles participating in vehicular ad hoc networks, aiming to provide computing and storage services at low cost to vehicles, improve traffic efficiency and safety, ensure real-time services, etc. Due to the highly dynamic nature of VC, it is challenging to efficiently form a dynamic VC securely and anonymously or to securely deliver messages to the dynamic VC without potentially violating the privacy of cloud users. In this paper, we present a concrete secure and privacy-preserving communication scheme for VC establishment and data dissemination. Our scheme allows a group of vehicles that are geographically close to each other to form a VC securely, anonymously and dynamically. This allows vehicle resources to be integrated and shared securely. Once a VC is formed, any cloud user may deliver messages to be securely and anonymously processed in the VC.
Exploring Becoming, Doing, and Relating within the information professions

Professional identity in Library and Information Sciences (LIS) in the United States and Canada is often defined by education, particularly the Masters in Library and Information Science(s) or its equivalent (MLIS). However, education is not the only attribute expected of an information professional. Anteby et al. (2016) developed three lenses for examining professions: Becoming, Doing and Relating. Each of these lenses provides a different view of how professional status is achieved and maintained and reflects the evolution of professional identification over the past century. Given the lack of any recognized definition within LIS, applying the lenses to “information professions” in general provides a framework to discuss professional identity. In order to understand how the LIS community defines information professional an exploratory survey was developed for information professions in the United States and Canada that included an open-ended question about professional identity. The survey was taken by more than 700 information professionals 2014–2015, and includes responses from MLIS students, information professionals with and without an MLIS (or an equivalent degree), LIS educators, retired professionals, and professionals with an MLIS working outside the field, but still active within the community. The responses uncovered a wide range of definitions, which reflected the concepts of lenses of professional status as presented by Anteby et al. However, not all of the definitions were easily assigned to a single lens. The findings do identify other important questions to consider. Why is there such a range of how we define LIS professional? What does this mean about how we interact with society in our professional roles? What impact might this have on how we are viewed by the larger society?
An Intelligent Hexapod Rescue Robot

This report proposes a survivor robot model inspired by the physique of a spider which can be used in the cases of search and rescue operations. Multiple walking algorithms have been tested on the robot and have been narrowed down to the most efficient walking algorithm among them. The control of the robot has been done by an embedded android controller. The navigation of the spider-bot has been implemented based on a six-leg system, which will be very convenient in rough terrains. Functional algorithms have been implemented to move the robot under duress and onto challenging fields. Moreover, these algorithms aids to the various speed parameters of the robot based on the structure of the legs. Each of the legs has been designed using three servo motors controlling the limbs from different joints. We have developed a unique algorithm to detect life and send the distance and direction of the life from the robot to respond team. Additionally, a prototype has been developed for experimental purpose and finally it has been upgraded to its final version.
Interactive comment on “ Characterising low-cost sensors in highly portable platforms to quantify personal exposure in diverse environments ” by

The inaccurate quantification of personal exposure to air pollution introduces error and bias in health estimations, severely limiting causal inference in epidemiological research worldwide. Rapid advancements in affordable, miniaturised air 20 pollution sensor technologies offer the potential to address this limitation by capturing the high variability of personal exposure during daily life in large-scale studies with unprecedented spatial and temporal resolution. However, concerns remain regarding the suitability of novel sensing technologies for scientific and policy purposes. In this paper we characterise the performance of a portable personal air quality monitor (PAM) that integrates multiple miniaturised sensors for nitrogen oxides (NOx), carbon monoxide (CO), ozone (O3) and particulate matter (PM) measurements along with temperature, relative 25 humidity, acceleration, noise and GPS sensors. Overall, the air pollution sensors showed high reproducibility (mean R2=0.93, min-max: 0.80 -1.00) and excellent agreement with standard instrumentation (mean R2=0.82, min-max: 0.54-0.99) in outdoor, indoor and commuting microenvironments across seasons and different geographical settings. An important outcome of this study is that the error of the PAM is significantly smaller than the error introduced when estimating personal exposure based on sparsely distributed outdoor fixed monitoring stations. Hence, novel sensing technologies as the ones demonstrated here 30 can revolutionise health studies by providing highly resolved reliable exposure metrics at large scale to investigate the underlying mechanisms of the effects of air pollution on health.
Asf 1 facilitates dephosphorylation of Rad 53 after DNA double-strand break repair

To allow for sufficient time to repair DNAdouble-stranded breaks (DSBs), eukaryotic cells activate theDNAdamage checkpoint. In budding yeast, Rad53 (mammalian Chk2) phosphorylation parallels the persistence of the unrepaired DSB and is extinguished when repair is complete in a process termed recovery or when the cells adapt to the DNA damage checkpoint. A strain containing a slowly repaired DSB does not require the histone chaperone Asf1 to resume cell cycle progression after DSB repair. When a second, rapidly repairable DSB is added to this strain, Asf1 becomes required for recovery. Recovery from two repairable DSBs also depends on the histone acetyltransferase Rtt109 and the cullin subunit Rtt101, both of which modify histone H3 that is associated with Asf1. We show that dissociation of histone H3 from Asf1 is required for efficient recovery and that Asf1 is required for complete dephosphorylation of Rad53 when the upstream DNA damage checkpoint signaling is turned off. Our data suggest that the requirements for recovery from the DNA damage checkpoint become more stringent with increased levels of damage and that Asf1 plays a histone chaperone-independent role in facilitating complete Rad53 dephosphorylation following repair.
Evaluation and drives of international student mobility across European Union countries

With rising demand for international education in Europe, today more higher education systems have become active in attracting international students. Hence, players in the global higher education market are highlighting their advantages in the higher education marketplace to become more competitive. As Lithuania has an ambitious desire to double the number of international students by 2025, this exploratory study analyses the important factors that will help to better target international students and put emphasis on the challenges to be refined in national education policies.
VYTAUTAS MAGNUS UNIVERSITY FACULTY OF POLITICAL SCIENCE AND DIPLOMACY DEPARTMENT OF PHILOSOPHY AND SOCIAL CRITIQUE

3 INTRODUCTION . 4 Review of literature . 6 KEY CONCEPTS AND CONTEXTS . 8 Neoliberalism . 9 Diagnostic psychiatry . 11 Video games . 12 Neoliberal psychiatry . 14 Psychologization of video gaming . 15 Played capitalism. 16 PATHOLOGIZATION OF VIDEO GAMING . 18 Diagnostic grounds . 18 Internet gaming disorder . 19 Research part . 21 Method . 21 Supportive research . 22 Brain research . 23 Comparisons . 25 Treatment . 26 Predictors . 27 Subject descriptions . 28 Critique . 30
Impacts of water availability on macronutrients in fruit and leaves of conilon coffee

Abstract: The objective of this work was to evaluate the concentrations and accumulation of macronutrients in conilon coffee (Coffea canephora) fruit, and their concentrations in leaves, over two years, in irrigated and nonirrigated coffee plants. Three-year-old conilon coffee plants of the cultivar Emcapa 8111 genotype 02 were used. An experimental design was carried out in randomized complete blocks, in a split-plot arrangement, with 14 replicates. The main plot factor was irrigation versus nonirrigation of coffee plants, and the split-plot factor was different fruit and leaf collection times. Collections began 10 days after the beginning of flowering and were performed on average every 28 days, until full fruit ripening. At each sampling date, five plants per treatment were picked out, by collecting one plagiotropic branch by plant, separated into fruit and leaves. Each part was dried, weighed, and subjected to the chemical analysis. Macronutrient accumulations and their accumulation rates were determined. According to the regression analysis of the data, fruit macronutrient accumulation curves fit best to sigmoidal equations. Irrigation affects the macronutrient dynamics in fruit and leaves during the fruiting phase of conilon coffee, and increases the accumulation of nutrients in the plant tissues. The macronutrients found in greater quantities are N, K, and Ca, in fruit and leaves, regardless of the irrigation treatment.
on Quality of Service and Performance Evaluation in 4 G All-IP Networks

Up to date the Internet and wireless communications have been considered as separate technologies because of different types of traffic they were intended for. Currently, with commercial launch of third generation (3G) networks, the convergence of these technologies is becalming reality. The purpose of our paper is to overview recent developments and show directions of further work in performance evaluation of fourth generation IP-based networks (4G All-IP). This will involve defining appropriate QoS models, as well as addressing traffic modeling and engineering problems, and internetworking issues among mobile wireless networks and between these and the current Internet. We consider both current traffic modeling and performance evaluation techniques and give reasons why these techniques cannot be applied to forthcoming 4G All-IP networks. Based on these we show the need for new types of traffic models for 4G All-IP networks, which should be able to capture three parts as solid one: mobility of users, teletraffic nature of applications and unreliable medium properties. We also give a brief review of performance evaluation of future 4G
IS THE POLISH LABOUR MARKET HEADING TOWARDS POLARISATION ? *

The paper discusses the nature of technical change in the Polish labour market, referring to two dominant hypotheses: Skill-Biased Technical Change and Routinisation-Biased Technical Change. The goal of the study is to test the hypothesis of the polarisation of the Polish labour market. The empirical analysis revealed that the Polish labour market does not follow the typical polarisation path identified in developed countries. It appeared that the biggest decline in labour demand has not been observed in the middle of skills/wage distribution. Technical change has led to skills upgrading, however, employment and wages in the group of low-skilled workers have not deteriorated much. Moreover, major changes in the task content of jobs have occurred in Poland. These changes are consistent with patterns of the developed countries with the exception of routine cognitive tasks, for which demand has increased in the last decade. The results of the analysis are ambiguous – shifts in the structure of employment and wages in Poland seem to be stuck between scenarios offered by SBTC and RBTC hypotheses. CZY POLSKI RYNEK PRACY ZMIERZA KU POLARYZACJI?
Auto-adjust Monitoring data x ∈ D Parameter settings y ∈ R Context situation class c ∈ C State s ∈ S Categorization of situation g : D × S → C Determining parameters h : C × S →

Self-adaptive systems can cope with changes in their operating environment by modifying their structure and behavior at run time. Different kinds of changes pose different requirements on how the software should adapt: some changes may require an immediate adaptation, whereas others do not, leaving more time to find the most suitable action. To address different kinds of changes, we introduce auto-adjustment, which works by quickly assessing changes in terms of the resulting requirements on the adaptation logic (e.g., their criticality or urgency), and adjusting the adaptation logic accordingly. Thereby, autoadjustment allows dynamically considering the trade-off between adaptation speed and adaptation quality. Experiments with an autonomic cloud resource allocation system show that autoadjustment leads to an improved trade-off between conflicting system goals: by allowing 0.3% higher energy consumption, the number of server overloads can be reduced by 68%.
USING QUANTITATIVE METHODS TO IDENTIFY SECURITY AND UNUSUAL BUSINESS OPERATIONS

Financial institutions are the first vertical level in the fight against money laundering and to improve security. Therefore, it is essential that tools are available to enable effective detection and analysis of suspicious transactions, or unusual business operations. These, in line with the legislative requirements, report to responsible entities FIUs representing the second vertical plane in the fight against money laundering. However, special software tools are available for obligated persons, especially for financial institutions that carry out tens of millions of financial transactions a day. These can trigger the alert to most unusual operations. The software automatically creates customer profiles, including expected behavior and executed transactions. Using advanced statistical analyses, it identifies unusual business operations, i.e. financial transactions significantly different from those carried out in the past. It is very useful to apply software support in form of electronic detection of indicators of legalization of crime proceeds. However, the output of such support software requires a more detailed and demanding investigation of the nature of operation and is based on the use of special algorithms based on mathematical and statistical methods. The software builds on the results of scientific research.