Miracle-dz/UniFAR-FTUs huggingface dataset:
French adaptation of a film music stimulus set: Normative emotional ratings of valence and arousal prompted by music excerpts

The aim of this study was to obtain French affective norms for the film music stimulus set (FMSS). This data set consists of a relatively homogeneous series of musical stimuli made up of film music excerpts, known to trigger strong emotion. The 97 musical excerpts were judged by 194 native French participants using a simplified normative procedure in order to assess valence and arousal judgments. This normalization will (1) provide researchers with standardized rated affective music to be used with a French population, (2) enable the investigation of individual listeners’ differing emotional judgments, and (3) explore how cultural differences affect the ratings of musical stimuli. Our results, in line with those obtained in Finland and Spain, demonstrated the FMSS to be robust and interculturally valid within Western Europe. Age, sex, education, and musical training were not found to have any effects on emotional judgments. In conclusion, this study provides the scientific community with a standardized-stimulus set of musical excerpts whose emotional valence and arousal have been validated by a sampling of the French population.
RAS mutation patterns arise from tissue-specific responses to distinct oncogenic signaling

Despite multiple possible oncogenic mutations in the proto-oncogene KRAS, unique subsets of these mutations are detected in different cancer types. As KRAS mutations occur early, if not being initiating, these mutational biases are ostensibly a product of how normal cells respond to the encoded oncoprotein. Oncogenic mutations can impact not only the level of active oncoprotein, but also engagement with effectors and other proteins. To separate these two effects, we generated four novel inducible Kras alleles encoded by the biochemically distinct mutations G12D versus Q61R encoded by native (nat) rare versus common (com) codons to produce either low or high protein levels. Each allele induced a distinct transcriptional response in normal cells. At one end of the spectrum, the KrasnatG12D allele induced transcriptional hallmarks suggestive of an expansion of multipotent cells, while at the other end, the KrascomQ61R allele exhibited all the hallmarks of oncogenic stress and inflammation. Further, this dramatic difference in the transcriptomes of normal cells appears to be a product of signaling differences due to increased protein expression as well as the specific mutation. To determine the impact of these distinct responses on RAS mutational patterning in vivo, all four alleles were globally activated, revealing that hematolymphopoietic lesions were sensitive to the level of active oncoprotein, squamous tumors were sensitive to the G12D mutant, while carcinomas were sensitive to both these features. Thus, we identify how specific KRAS mutations uniquely signal to promote the conversion of normal hematopoietic, epithelial, or squamous cells towards a tumorigenic state.
Development of self-regulated learning: a longitudinal study on academic performance in undergraduate science

ABSTRACT Background Self-regulated learning (SRL) encompasses the strategies and behaviours that allow students to transform cognitive abilities into task-specific academic skills. Research in higher education has found a relationship between SRL and academic outcomes. However, whether SRL improves as students gain educational experience in undergraduate science has not been adequately studied. It is also unclear whether traditionally strong predictors of academic performance, such as the Australian Tertiary Admissions Rank (ATAR), and science background, remain strong in the later stages of a science degree. Purpose The purpose of this study was to investigate whether SRL changes over time in undergraduate science, and whether SRL, the ATAR, or a student’s science background predicted their academic performance. Sample The sample comprised a cohort of agricultural science students (n = 213) from a large Australian University followed longitudinally from 2018 to 2020. Design and methods Students completed a questionnaire to assess SRL in their first and third years of undergraduate study. They also completed a knowledge survey at the start of first year to assess confidence in scientific material. Analyses revealed that students’ SRL increased over the degree, but not over a single semester of first year. Additionally, it was found that students’ average semester marks were related to knowledge survey scores, and with students’ ATARs, but not with their SRL. Conclusion These results indicate that the academic aptitudes that contribute to academic success in high school continue to be advantageous through to the end of undergraduate study, but also suggest that students’ initial scientific confidence may be particularly important to long-term university success.
lncRNA FGD5-AS1 and miR-130a Can Be Used for Prognosis Analysis of Patients with Chronic Periodontitis

Background lncRNA and microRNA affect the occurrence and development of many diseases, so they are expected to become diagnostic or predictive indicators. But the relationship between lncRNA FGD5-AS1 and miR-130a and the prognosis of chronic periodontitis is still unclear. The purpose of this study is to explore the prognostic value of the two in chronic periodontitis. Objective This study set out to investigate the prognostic value of lncRNA FGD5-AS1 and miR-130a in chronic periodontitis. Methods Eighty-seven patients with chronic periodontitis who visited our hospital from March 2016 to August 2017 were collected as an observation group (OG), and 72 subjects with periodontal health who underwent physical examination at the same time were collected as a control group (CG). The FGD5-AS1 and miR-130a expression levels of subjects in the two groups were compared, and prognosis of 87 patients who were reviewed one year later was counted. The expression levels of patients with different prognoses were compared when they were admitted to our hospital. We drew the ROC curve and explored the prognostic value of FGD5-AS1 and miR-130a. The risk factors for adverse prognosis were analyzed through logistic regression. Results FGD5-AS1 was lowly expressed in patients, while miR-130a was highly expressed. FGD5-AS1 and miR-130a had certain diagnostic and predictive value in chronic periodontitis and patient prognosis. The higher the periodontal pocket, the higher the attachment loss. Lower FGD5-AS1 and higher miR-130a levels were independent prognostic risk factors. Conclusion lncRNA FGD5-AS1 is lowly expressed in patients with chronic periodontitis, while miR-130a is highly expressed. Both of them have certain diagnostic and prognostic value in chronic periodontitis and may be potential diagnostic and prognostic indicators.
Commentary: Does registered nurse involvement in improving healthcare services, influence registered nurse retention?

Secondary research and analysis of existing data is an innovative and ef ﬁ cient way of using published health service data, reports and documents and has the potential to shine a light into areas of health services that may not otherwise get any research attention. The quality of secondary health-related research and analysis relies entirely on the health services, their associated agencies, and researchers making the data collected in original research studies and in their health-related systems available to quali ﬁ ed researchers who were not involved in the primary research or in the creation and maintenance of the data systems. Secondary health service related research and analysis is more cost-effective than primary research, as it makes use of already existing health service data, unlike primary health service research where data are collected ﬁ rst hand by researchers; sometimes at great costs to the public purse (Nutley et al., 2007). This paper analyses and correlates published data from the NHS Staff Survey 2018 and data from the 2019 Model Health System regarding RN involvement in improvement and RN retention. What is particularly novel about this paper is the use of a non-parametric alternative (Kendall ’ s tau-b) to measure the strength and direction of associations that exists between the two variables RN retention and NHS improvement. Non-parametric correlation coef ﬁ cient measures are usually applied the data being analysed fail normality assumptions, i.e. are not normally distributed or when one has a small sample size with many tied ranks in the data. This study reported both a small sample size and that the data were not normally distributed. In
Risk factors of loneliness across the life span

Although loneliness is typically associated with adolescence and old age, research has revealed that it is prevalent across the life span. The present study contributes to the loneliness literature by investigating a broad range of risk factors in a Dutch sample (N = 52,341) ranging from late adolescence to old age using a cross-sectional survey administered by the regional public health services in the province of Limburg in the Netherlands. Risk factors associated with higher levels of self-reported loneliness across the life span were being male, lower education levels, inadequacy of financial resources, mental health, informal caregiving that is experienced as burdensome, and limited social contact or network type. In addition, in early adulthood, having a non-western migration background and having a physical disability were associated with higher levels of loneliness, whereas living alone, having a non-western migration background, and not having a paid job were risk factors of loneliness in middle adulthood. In late adulthood, living alone and having a physical disability were associated with loneliness. The present study demonstrates that different stages of life are associated with different vulnerability factors of loneliness. Hence, the prevention of loneliness might require different interventions in different age groups.
Scalable Molten Salt Synthesis of Platinum Alloys Planted in Metal-Nitrogen-Graphene for Efficient Oxygen Reduction.

Fuel cells are considered as a promising alternative to the existing traditional energy systems towards sustainable future. Nevertheless, the synthesis of efficient and robust Pt-based catalysts remains a challenge for practical applications. In this work, we present a simple and scalable molten-salt synthesis method for producing a low-platinum (Pt) nanoalloy implanted in metal-nitrogen-graphene. The as-prepared low-Pt alloyed graphene exhibits a high oxygen reduction activity of 1.29 A mgPt-1 and excellent durability over 30,000 potential cycles. The catalyst nanoarchitecture of graphene encased Pt nanoalloy provides a robust capability against nanoparticle migration and corrosion due to strong metal-support interaction. Similarly, advanced characterizations and theoretical calculations show that the multiple active sites in platinum alloyed graphene synergistically account for improved oxygen reduction. This work not only provides an efficient and robust low-Pt catalyst but also a facile design idea and scalable preparation technique for integrated catalysts to achieve more profound applications in fuel cells and beyond.
Distributed Model Predictive Control of Load Frequency for Power Networks

In recent years, there has been an increase of interest in smart grid concept, to adapt the power grid to improve the reliability, efficiency and economics of the electricity production and distribution. One of the generator side problem in this is to meet the power requirement while not wasting unnecessary power, thus keeping the cost down, which must be done while the frequency is kept in a suitable range that will not damage any equipment connected to the power grid. It would theoretically be most logical to have a centralized controller that gathers the full networks data, calculates the control signals and adjusts the generators. However in practice this is not practical, mostly due to distance. The transmission of sensor data to the controller and the transmission of control signals to the generators would have to travel far, thus taking up to much time before the generators could act. This paper presents a distributed model predictive control based method to control the frequency of the power network. First, an augmented matrix model predictive controller is introduced and implemented on a two homogeneous subsystems network. Later the control method is changed to a state space model predictive controller and is then utilized on a four heterogeneous subsystems network. This controller implementation also includes state observers by Kalman filtering, constraints handler utilizing quadratic programming, and different connection topology setups to observe how the connectivity affects the outcome of the system. The effectiveness of the proposed distributed control method was compared against the corresponding centralized and decentralized controller implementation results. It is also compared to other control algorithms, specifically, an iterative gradient method, and a model predictive controller generated by the MATLAB MPC Toolbox. The results show that the usage of a distributed setup improves the outcome compared to the decentralized case, whilst keeping a more convenient setup than the centralized case. It it also shown that the level of connectivity for a chosen network topology matters for the outcome of the system, the results are improved when more connections exists.
Digital Democracy: Big Technology and the Regulation of Politics

The legal regulation of politics has, at its core, the aim of preserving three fundamental democratic values: liberty, equality and deliberative political participation. Yet, the reference point for examining these values is rooted in 19th and 20th century practices: where political campaigning and mobilisation follow terrestrial principles of organisation and regulation is undertaken by the state. Using the most recent empirical evidence drawn from political science on the changing nature of political participation and organisation, this article analyses the challenges of regulating digital politics. It argues that while the major focus of current interventions centres on political disinformation, this obscures more fundamental regulatory concerns such as capturing the diversity of new modes of participation and reconceptualising equality. While a model of co-regulation holds promise by institutionalising communities and individuals within technology companies’ policy decision-making processes, firms’ ultimate authority to define and control their user base presents challenges for effective participation.
Route optimization via RSSI APPs in indoor proxy mobile IPv6 test-bed

Traditionally IP mobility support mechanisms, Mobile IPv4 or Mobile IPv6 are based on the host-based solution to keep on going sessions despite the movement. The current trend is towards networks-based solutions where mobility support is based on network operation. Proxy Mobile IPv6 (PMIPv6) has been developed by the Internet Engineering Task Force (IETF) as a network-based mobility management protocol. The development is aimed to guarantee and support mobility for IP devices or called as Mobile Node (MN) without the MN involving in any IP layer mobility related to signaling as stated in RFC5213. PMIPv6 in RFC5213 address the needed to enable Localized Routing (LR) but it not specify a complete procedure to establish Route Optimization (RO). Data packets belong to MN need to travel to Local Mobility Anchor (LMA) via bidirectional tunnel between Mobile Access Gateway (MAG) and LMA. This result to long end to end delay. This un-optimized route result in increasing signaling data delay, huge handover latency, large transport cost and many more. Therefore, it important to optimized the data path so that the data destined to MN will be traverse using the shorter path or directly change traffic tunnel between MAG. As for this, the aims of this study are to reduce the handover latency and optimized data route by the illustration of development the PMIPv6 test-bed with implementation of RO via RSSI APPs. Several experiment will be discuss to see the performance of RO algorithm via RSSI APPs with non-optimized RO.
Leverage and Executive Pay-Performance of the Indonesian Family Firms

This study aims to investigate the impact of firm performance on executive compensation. This study also examines the moderating role of leverage on the firm performance and executive pay-performance relationship. Used data panel regression as a method, this study showed that firm performance had a positive impact on executive compensation. This paper also showed that leverage weakens the pay-performance relationship. These results indicate that creditors prefer to assess family firm performance based on the risk rather than accounting performance. Higher leverage illustrated a high risk. The firm with high risk indicated poor executive performance. As a result, compensation will be lower.
Chitosan induces defensive responses in soybean plants inoculated with Bradyrhizobium elkanii

Chitosan is a natural polymer that induces numerous biological responses in many plant species, for instance, the induction of enzymatic and metabolic defense responses to biotic stress. In this paper, basal induced resistance enzymes (β 1-3 Glucanase, Chitinase and Phenylalanine-ammonia-lyase) and protein content, were determined in soybean organs, inoculated with Bradyrhizobium and growth in culture media added with different chitosan concentrations. Defensive response induced by the polymer depended on its concentration, the organ of the plant and the moment evaluated. The behavior of enzyme levels was different in soybean leaves and roots and inversely proportional to protein content. Enzymatic values in leaves were higher at 7 days post-treatment than at 21 days, except β 1-3 glucanase activity. However, in the roots, the increases occurred at 21 days, except chitinase activity. Higher concentrations (100, 500 and 1000 mg L) of chitosan increased the enzyme levels in roots, mainly at 21 days after inoculation with B. elkanii. Results show the possibility of using chitosaccharides for the induction of defensive Daimy Costales-Menéndez, Alejandro B. Falcón-Rodríguez, María C. Nápoles-García, Juan C. Cabrera-Pino, Mario Varela-Nualles y Lisbel Travieso-Hernández responses in soybean against pathogens, without affecting the symbiotic process carried out with Bradyrhizobium elkanii.
KNOWLEDGE AND PRACTICE OF DIABETIC FOOT PREVENTION AMONG DIABETIC PATIENTS ATTENDING THE EDWARD FRANCIS SMALL TEACHING HOSPITAL, BANJUL, GAMBIA

Background: The increase in the prevalence of Diabetes Mellitus (DM) is being associated with many complications among diabetic patients. Diabetic foot ulcers account for many hospital admissions. Diabetes dramatically increases the risk of lower extremity amputation because of infected, non-healing foot ulcers. The objective was to assess the knowledge and practice of diabetic foot prevention and find an association with sociodemographic variables in patients and out patients visiting at EFSTH Banjul Methodology. A Cross sectional study design was used to determine the knowledge and practice of Diabetic patients receiving diabetic care in EFSTH both on an outpatient basis and on admission on the prevention of diabetic foot. A semistructured interviewer administered questionnaire was used to collect data from 357 respondents. The data was analyzed using SPSS version 20, Univariate analysis was used to analyze data Results The mean age of the participant was 47.3 years of age with a standard deviation of ±10.5. Women accounted for 55.2% of the study while 94.4% were reported to be married. The overall good knowledge on diabetic foot care and prevention was 72.8% followed by fair knowledge at 25.8% respectively. However, poor practice on diabetic foot care and prevention were found to be 77.9% with good practice at only 22.1% respectively in exploring the association between practice on diabetic foot care and prevention with respect to knowledge on diabetic foot care and selected patients socio-demographic profiles, there was no statistically significant association between knowledge, age of patients, gender and marital status at p=0.862, 0.264, 0.702 and 0.168 respectively. However, there is a statistically significant association between practice and patients educational level. Conclusion: in conclusion the study revealed that Participant’s knowledge of prevention of diabetic foot is indeed very however the practice was poor. Therefore, there is a need for more health education on the practices which would put more emphasis on the practice of diabetes management among diabetes patients.
Comparison of changes in the labour markets of post-communist countries with other EU member states

strengthen their international competitiveness. This was linked to the implementation of institutional and economic reforms, significant technological changes and improvements in the quality of human capital, as well as fiscal stabilisation policies. These changes affected their situation in the labour market. Purpose of the article: The aim of the study is to assess changes in the situation in the labour market in the EU with particular emphasis on the post-communist countries in the period 2002? 2019. Methods: The situation of countries in the European labour market was estimated using the TOPSIS method. A similarity matrix of changes in the composite variable for each country was then constructed using the Dynamic Time Warping method. On its basis, homogeneous clusters of countries were determined using the Ward? s method. Findings & value added: Four homogenous clusters of countries were formed. The post-communist ones belonged to two groups. In one, there were two countries ? Croatia and Slovakia. The rest of the post-communist countries were in a large cluster, which also included Germany, Malta, Finland, Portugal, France and Belgium. Changes of the situation in the post-communist countries in this group improved very much during the analysed period (this was particularly evident for Czechia, Estonia and Poland). It is interesting to investigate whether the reaction of labour markets to changes in the global economic situation in post-communist countries is similar to that in the old EU countries. The similarity of changes can be measured using the DTW method. There is an empirical research gap in this respect. Therefore, the added value is the use of this method in assessing similarities of changes in the labour market situation in post-communist countries in comparison to the Western European ones.
DEVELOPMENT OF A DELAY MODEL FOR ROUNDABOUTS IN JORDAN

The purpose of this research was to develop a model for estimating roundabout delay as a function of the influencing traffic and geometric factors. Fourteen roundabouts were selected from different cities in Jordan. Circulating volume, entry volume, and entry delay were measured during peak and off-peak periods using video cameras. Data on geometric design elements including circulating width, entry width, and roundabout diameter were measured through field survey. An empirical approach was used to develop a delay model as a function of the influencing factors based on a time interval of 15 min. The analysis indicated that geometric variables have significant effects on the roundabout entry delay. The entry width has the greatest influence, whereas the circulating width has the least influence. A comparison between delay models produced using different time intervals showed that, as time interval increases, R2 increases. The SIDRA delay model was validated using the field delay data, and it was found that.