Miracle-dz/UniFAR-FTUs huggingface dataset:
Connected Despite Lockdown: The Role of Social Interactions and Social Media Use in Wellbeing

Humans are social beings, but during the COVID-19 pandemic, people around the world are periodically in lockdown and are required to try to physically distance themselves from others. The resultant limitation of face-to-face interactions presents a challenge to wellbeing. During periods of lockdown, people can, however, still connect to others via technology, but it is unknown whether such interactions offer benefits comparable to face-to-face interactions. In the present study, we examined how different ways of interacting with others impacted wellbeing during a period of lockdown in the United Kingdom. In a 30-day diary study conducted in April-June 2020, 110 adults reported the time they spent daily on face-to-face interactions and technology-mediated communication (video, phone, text) with different interaction partners. They also indicated the time they spent on active and passive social media use and their end-of-day wellbeing. Multilevel regressions indicated that more face-to-face interactions both within and outside of one’s household positively predicted wellbeing, while technology-mediated communication had less consistent positive effects. Additionally, more active and less passive social media use predicted better wellbeing. These results highlight the complexity of benefits of different kinds of social interactions during lockdown in the COVID-19 pandemic and point to the importance of taking into account communication channels, interaction partners, and how people use social media when studying the effects of connecting to others.
Same model, different conclusions: An identifiability issue in the linear ballistic accumulator model of decision-making

Evidence accumulation models (EAMs) – the dominant modelling framework for speeded decision-making – have become an important tool for model application. Model application involves using specific model to estimate parameter values that relate to different components of the cognitive process, and how these values differ over experimental conditions and/or between groups of participants. In this context, researchers are often agnostic to the specific theoretical assumptions made by different EAM variants, and simply desire a model that will provide them with an accurate measurement of the parameters that they are interested in. However, recent research has suggested that the two most commonly applied EAMs – the diffusion model and the linear ballistic accumulator (LBA) – come to fundamentally different conclusions when applied to the same empirical data. The current study provides an in-depth assessment of the measurement properties of the two models, as well as the mapping between, using two large scale simulation studies and a reanalysis of Evans (2020a). Importantly, the findings indicate that there is a major identifiability issue within the standard LBA, where differences in decision threshold between conditions are practically unidentifiable, which appears to be caused by a tradeoff between the threshold parameter and the overall drift rate across the different accumulators. While this issue can be remedied by placing some constraint on the overall drift rate across the different accumulators – such as constraining the average drift rate or the drift rate of one accumulator to have the same value in each condition – these constraints can qualitatively change the conclusions of the LBA regarding other constructs, such as non-decision time. Furthermore, all LBA variants considered in the current study still provide qualitatively different conclusions to the diffusion model. Importantly, the current findings suggest that researchers should not use the unconstrained version of the LBA for model application, and bring into question the conclusions of previous studies using the unconstrained LBA.
A Study on Microbial Community and Microbial Degradation of Diesel

This study investigates characteristics of diesel degradation and variations of microbial community with the soil enrichment cultures. The cultures has yellow(YE-5) and transparent color's(WH-5) colony on solid plate medium. The bacillus type of YE-5 and WH-5 cultures showed diesel degradation at the rate of 99.07mg-Diesel/ and 57.82mg-Diesel/ in the presence of 1%(v/v) initial diesel concentration. Diesel degradation was 1.7 times faster than WH-5 culture. YE-5 or WH-5 culture could degrade a wide range of diesel compounds from to . Microbial community analysis by PCR-DGGE technique shows that Psedomonas, Klebsiella, Escherichia and Stenotrophomonas as proteobacteria take role on the diesel degradation. uncultured Senotrophomonas sp. was only detected with YE-5 culture. It is concluded that proper combination of the microorganism should be present to stimulate the degradation of diesel and further studies are recommended for the effect of uncultured Senotrophomonas sp. or Escherichia hermannii on diesel degradation.
Physico-Chemical, Colour and Textural Characteristics of Cobb-400, Vanjara, Aseel and Kadaknath Meat

The investigation was to compare the differences in quality characteristics of native chicken meat with Cobb-400. There were no significant differences observed in moisture, ash and pH values while significant (P<0.05) differences were observed in fat values among these meats . Protein values were significantly (P<0.05) higher in the meat of native breeds than commercial strain. The maximum and minimum water holding capacity was recorded for Cobb-400 and Vanaraja respectively. Texture profile in terms of shear force value and shear energy value in fresh as well as cooked meat of all studied chicken was found highest in Aseel and lowest in Vanaraja. Results on colour profile revealed highest L* values in Cobb-400 in both fresh as well as in cooked meat while a* and b* values were found highest in fresh and cooked meat of Aseel. A typical pattern of lowest colour profile values was noticed in Kadaknath.
Modelagem de Ameaças em Pipelines de Desenvolvimento

Em anos recentes tem crescido a preocupação com a integridade de software, ou seja, a garantia de que o software não seja adulterado no caminho entre desenvolvedores e usuários. Esse caminho é representado por um pipeline de desenvolvimento de software. Este trabalho propõe desenvolver um modelo de ameaças para o pipeline de desenvolvimento e identificar mitigações para as ameaças encontradas. O artigo apresenta o pipeline e o modelo de ameaças para uma de suas etapas.
Media use, attention, mental health and academic performance among 8 to 12 year old children

The rise in digital media consumption, especially among children, raises the societal question of its impact on cognition, mental health and academic achievement. Here, we investigate three different ways of measuring technology use-—total hours of media consumed, hours of video game play and number of media used concurrently—-in 118 eight-to-twelve year-old children. At stake is the question of whether different technology uses have different effects, which could explain some of the past mixed findings. We collected data about children’s media uses as well as (i) attentional and behavioral control abilities, (ii) psychological distress, psychosocial functioning, and sleep, and (iii) academic achievement and motivation. While attentional control abilities were assessed using both cognitive tests and questionnaires, mental health and sleep were all questionnaire-based. Finally, academic performance was based on self-reported grades, with motivational variables being measured through the grit and the growth-mindset questionnaires. We present partial correlation analyses and construct a psychological network to assess the structural associations between different forms of media consumption and the three categories of measures. We observe that children consume large amounts of media and media multitask substantially. Partial correlation analyses show that media multitasking specifically was mostly correlated with negative mental health, while playing video games was associated with faster responding and better mental health. No significant partial correlations were observed for total hours on media. Psychological network analysis complement these first results by indicating that all three ways of consuming technology are only indirectly related to self-reported grades. Thus, technology uses appear to only indirectly relate to academic performance, while more directly affecting mental health. This work emphasizes the need to differentiate among technology uses if one is to understand how every day digital consumption impacts human behavior.
Short Term Context based Fast Multilingual Acoustic Model for Low Resource Languages

Multilingual automatic speech recognition (ASR) systems have led to a major step forward towards building robust ASR systems for languages with low resource availability by increasing coverage for individual languages. State of the art multi-lingual systems are developed with sequential networks such as bidirectional long short term memory networks (BLSTMs) to capture long term temporal dependencies. Training and inference in such sequential models are computationally expensive which poses a signiﬁcant challenge in terms of scalability and real-time applications. In this paper, we propose an alternate architecture based on short term contextual temporal features learned on convolutional neural networks (CNNs) with a non-sequential discriminative network. We use three low resource Indic languages, Gujarati, Tamil, and Telugu to ascertain that our proposed architecture trains 5.5 × faster and reduces the inference time by a factor of 26 while maintaining comparable word error rates (WERs) against our baseline BLSTM network.
The Influence of Implementation Work-Based Learning Model on Learning Innovation Skills Student’s

This study aimed to analyze the influence of internship as a form of the WBL model to LIS students, in terms of the assessment theory of work-based learning and framework of 21st-century skills. The method used is descriptive quantitative, with respondents students who have done internships. The results showed that there are significant WBL (X) on critical thinking and problem-solving skills (Y1), indicated by the results of the significance value 0.000 <0.050 probability and the value of t, the obtained value of tcount 6.177 > ttable 2.024. Next, there is the influence of WBL (X) on communication skills (Y2), seen from the significance value of 0.000 <0.050 probability. Then, for a value of t, obtained the value of tcount 5,039> ttable 2,024. There is the influence of WBL (X) on collaboration skills (Y3), seen at a significance value of 0.000 <0.050 probability. Then, for a value of t, the obtained value of tcount 5,405 > ttable 2,024. There is no significant and positive relationship between the implementation of WBL and students' Creativity and Innovation skills (Y4). This can be seen when the linearity test is carried out. The implementation of an internship can contribute to the development of skills covered in LIS, except for creativity and innovation skills.
Advancement of Sol-Gel–Prepared TiO2 Photocatalyst

This chapter elaborates a review of sol-gel–prepared TiO 2 photocatalyst for different photocatalytic applications. Among the semiconductors employed, TiO 2 is known as an attractive photocatalyst owing to its high photosensitivity, nontoxicity, easy availability, strong oxidizing power and long-term stability. Some research works related to the effect of solgel preparation parameters on physicochemical properties and different photocatalytic applications of prepared TiO 2 photocatalysts are reported. Furthermore, various sol-gel and related systems for modification of TiO 2 photocatalytic performance, including transition metals and co-doing of TiO 2 , were considered. The results illustrated that doping TiO 2 with metal ions through sol-gel method usually resulted in an improved efficiency of TiO 2 photocatalyst. This method has all the advantages over other preparation techniques in terms of purity, homogeneity, felicity and flexibility in introducing dopants in a large concentration, stoichiometry control, ease of processing and composition control.
Asynchronous Traffic Shaping with Jitter Control

Asynchronous Traffic Shaping enabled bounded latency with low complexity for time sensitive networking without the need for time synchronization. However, its main focus is the guaranteed maximum delay. Jitter-sensitive applications may still be forced towards synchronization. This work proposes traffic damping to reduce end-to-end delay jitter. It discusses its application and shows that both the prerequisites and the guaranteed delay of traffic damping and ATS are very similar. Finally, it presents a brief evaluation of delay jitter in an example topology by means of a simulation and worst case estimation.
Intensive versus non-intensive statin pretreatment before percutaneous coronary intervention in Chinese patients: a meta-analysis of randomized controlled trials

Background: The results of intensive statin pretreatment before percutaneous coronary intervention (PCI) is inconsistent between Chinese and Western populations and there are no corresponding meta-analyses involving hard clinical end-points in the available published literature. The aim of this study was to evaluate the efficacy and safety of high-dose statin loading before PCI in Chinese patients through a meta-analysis. Method: Relevant studies were identified by searching the electronic databases of PubMed, Embase, and Cochrane’s Library to December 2019. The outcomes included an assessment of major adverse cardiovascular event (MACE), non-fatal myocardial infarction (MI), cardiac death, target vessel revascularization (TVR), myalgia/myasthenia and abnormal alanine aminotransferase (ALT) in all enrolled patients. Results: 12 studies involving 3,183 individuals were included．The results showed statistically significant different in the incidence of MACE (RR=0.49, 95% CI: 0.30-0.80, P=0.004, I2=63%) and non-fatal MI (RR=0.54, 95% CI: 0.33-0.88, P= 0.01, I2=62%) on comparing the intensive statin and non-intensive statin treatment groups. Subgroup analysis further suggested the benefits of different treatments were inconsistent. Compared with preoperative intensive statin therapy, the incidence of MACE and non-fatal MI were significantly elevated in patients receiving placebo or no statin treatment before surgery (RR=0.47, 95% CI: 0.34-0.65, P<0.00001, I2=0%; RR=0.49, 95% CI: 0.35-0.70, P<0.0001, I2=0%). However, the incidence of MACE and non-fatal MI were not statistically significant when comparing preoperative high-intensity statin therapy with moderate-intensity statin therapy (RR=0.96, 95% CI: 0.44-2.08, P=0.91, I2=11%; RR=1.10, 95% CI: 0.86-1.39, P=0.44). The study also demonstrated that the Asian population could tolerate high-intensity atorvastatin during the perioperative period. Conclusion: Compared with placebo or no statin pretreatment, Chinese patients receiving intensive statin therapy before PCI displayed reduced incidence of MACE and non-fatal MI. However, there was no significant benefit between high-intensity and moderate-intensity statin treatment. Further, the Chinese population tolerated well preoperative intensive statin pretretment.
Diet with linseed oil and organic selenium yields low n‐6/n‐3 ratio pork Semimembranosus meat with unchanged volatile compound profiles

The aim of this was to improve n-6/n-3 ratio without affecting the volatile compounds profiles of pork. Different feeding strategies were designed for 60 Polish Landrace pigs with the goal to enhance the health attributes of Polish pork. Composition, colour, hardness, fatty acid contents and volatile compound profiles of the semimembranosus muscles were determined. Results showed that with the basic diet with the addition 3% of linseed oil, 100 mg kg 1 of vitamin E and 1 mg kg 1 of organic selenium, the level of polyunsaturated fatty acids (PUFA) in the meat samples was increased by 26% (P ≤ 0.05) as compared to the control. Principal component analysis (PCA) demonstrated that the aroma profile of semimembranosus muscles from pigs fed with the diet supplemented with 3% of linseed oil and 1 mg kg 1 of organic selenium was close to that of control. Results demonstrated that healthy functional meats could be produced by designing feeding strategies.
VOM NEWTONSCHEN EIMERVERSUCH ZUR QUANTENTHEORIE DES UNIVERSUMS: DAS

”Es widerstrebt dem wissenschaftlichen Verstande, ein Ding zu setzen, das zwar wirkt, aber auf das nicht gewirkt werden kann. ” Mit diesen Worten kommentiert A.Einstein die Forderung von E.Mach, den Begriff des absoluten Raums aus der Physik zu entfernen [15]. Diese Forderung, das Machsche Prinzip, ist in verschiedener Gestalt konstruktiv umgesetzt worden, hat sich aber einer befriedigenden Antwort bisher immer entzogen. Es ist das letzte große Prinzip der klassischen Physik, das einer solchen Antwort noch bedarf [4],[22]. Von der Begründung der Physik durch Newton bis zu den jüngsten Fragen der Bedeutung einer Quantentheorie des Universums spannte sich der Bogen der Fragen, die heute in Verbindung mit dem Machschen Prinzip diskutiert werden.
Climate change in the American Mind: April 2020

This report is based on findings from a nationally representative survey – Climate Change in the American Mind – conducted by the Yale Program on Climate Change Communication (climatecommunication.yale.edu) and the George Mason University Center for Climate Change Communication (climatechangecommunication.org). Interview dates: April 7 – 17, 2020. Interviews: 1,029 Adults (18+). Average margin of error +/- 3 percentage points at the 95% confidence level.
The Contemporary Research on The Conditions of Child and Youth Obesity, As Well As Proposals for Solving the Epidemic. The Preliminary Report

Aim. The aim of the report is to draw attention to the studies not included in system reviews and meta-analyzes which are important in the opinion of the authors of the paper - for: 1. estimating the size of the obesity phenomenon and its correlates on a global scale, 2. assessing the effectiveness of promoting physical activity and the approach to changing pro-health behaviors, with particular emphasis on the sedentary and inactive behavior. Material and methods. The effect of the preliminary literature search in the preparation of a systematic review of publications documenting the existence of regional differences in both the level of obesity and its growth rate in the last decades of the 21st century and assessing the effectiveness of interventions aimed at behavioral changes, mainly in the field of nutrition and physical activity in children and adolescents. Unobtrusive research, content analysis. Results. The report highlights the results of the research conducted as part of the International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE). They were compared to other European and global results of solving the problem of overweight and obesity in school-age children and adolescents, and to assessing the potential of the determinants of physical activity in several dozen countries around the world. In addition, the American proposals to solve the obesity problem were indicated, with particular emphasis on the theoretical assumptions and practical implications of the NCOOR organization, included in the American four-volume study. Conclusions. 1.Each country and geographic jurisdiction has its own limited variation in the prevalence of obesity and each of the potentially modifying factors at different levels of prevalence but the international research is able to minimize variability in these factors. 2. The ecological approach to solving the determinants of physical activity and the methods of its evaluation based on the SEM model should be treated with greater interest in the social policy of the individual countries on different continents. 3. The theoretical assumptions of American behavioral epidemiology and solutions to the problem of obesity and the practical implications based on them, resulting from many years of experience in the approach to eliminating the obesity epidemic, should be more widely disseminated and used in the programming of the health promotion outside the United States and in shaping health-oriented physical fitness in children and adolescents Health Related Fitness (H-RF).
Smartphone addiction is increasing across the world: A meta-analysis of 24 countries

Smartphone ownership and screen time are increasing across the world, but there have been few attempts to quantify smartphone addiction on a global scale. We conducted a meta-analysis of studies published between 2014 and 2020 that used the Smartphone Addiction Scale, the most common measure of problematic smartphone use. This scale measures whether smartphone use interferes with one’s daily life. We focused on studies of teenagers and young adults (aged 15 to 35) since they show the highest screen time and smartphone ownership rates. Across 85 samples, 24 countries, and 39,292 participants, we demonstrate that problematic smartphone use is increasing across the world. China, Saudi Arabia, and Malaysia had the highest scores while Switzerland, Germany, and France had the lowest. Our results provide global norms for researchers and can help identify countries that could benefit from targeted interventions.
Ensemble Based Hybrid Variable Selection Method for Heart Disease Classification

In this paper, we proposed an ensemble-based hybrid variable selection model that aggregates various variable selection methods results based on majority voting approach to select a risk features subset in the heart disease datasets. The performance of the devised framework is evaluated using Z-Alizadeh Sani heart disease dataset from the UCI repository. Besides, we also compare this devised method with three non-ensemble variable selection methods namely the Chi-square test, Recursive Feature Elimination, and L1-Regularization. The selection process of the devised method is validated through a random forest classifier, it performs better in terms of specificity, sensitivity, accuracy, precision, and f1-score. The proposed method significantly enhances the accuracy of the heart disease classification model.
Black Sea submarine valleys – patterns, systems, networks

The article presents a detailed analysis of the underwater morphology of the entire Black Sea basin beyond the shelf break. The focus is on submarine valley systems on continental slope and rise zones, and partially in the abyssal plain area. The present research is among the very few studies that have undertaken a morphological analysis on a regional scale, for an entire marine basin. This achievement was possible by using the publicly available EMODnet bathymetric map of the Black Sea. The Black Sea submarine valleys networks are presented in a map-sketch. It includes 25 valley systems, 5 groups of simple first order channels, and other number of simple, not associated channels. The 25 valley systems are adding up more than 110 main channels and tributaries. Morphological description and analysis of each of the mapped systems is given – shape and plan view morphology, dimensions (length and surface) and slope gradient. Some considerations about the amount of sediments supplied by the valleys from the shelf to the basin floor, forming the deep-sea fans, are presented. For a more detailed and precise image of the Black Sea network of submarine valleys additional work would be necessary to cover the entire basin with a minimum standard network of modern bathymetric mapping and of high resolution seismic survey lines. To take into account the composition and geological structure of different sectors, as factors that influence significantly the morphology of the seabed, would be also particularly useful.