Miracle-dz/UniFAR-FTUs huggingface dataset:
Attitudes Towards Free-to-Play Revenue Models Among Finnish G amers

Free-to-play games are dominating the gaming environment on mobile phones. They are free to download and fast to get known and can hook gamers for a long period of time. Yet game companies are generating revenue with in-game payments. Research has shown that a small percentage of gamers actually use money in free-to-play games. This survey study is based on answers of 215 Finnish free-to-play gamers and sheds light on what free-to-play gamers think of the concept; how much they play, how much they spend money and what their attitudes are towards free-to-play revenue model. One of the main findings in this study is that the majority of the respondents had spent money on free-to-play games, yet they still dislike the basic free-to-play revenue model features, such as unbalance of paying and non-paying gamers. It seems that the free-to-play revenue model is still in the maturing phase and gamers are accepting paying with real money more and more. We recommend replication of this study around the world.
Gigified Knowledge Work: Understanding Knowledge Gaps When Knowledge Work and On-Demand Work Intersect

Online freelance platforms can transform knowledge work. However, 'gigification' also presents challenges, including how freelance workers can access and work with knowledge, which prior research has not examined. Through a qualitative interview study, we identify disparities in how freelancers who work for enterprise companies are able to utilize knowledge as part of their work, when compared with traditional employees of similar organizations. We examine how 38 knowledge workers (21 freelancers, 17 employees) deploy knowledge, work skillfully and mobilize resources to meet knowledge needs. We find that both employees and freelancers understand their own ability to act knowledgeably as a dynamic, collaborative, negotiated and emergent accomplishment. However, for freelancers, the dynamic dimensions of knowledge work - such as helping others see the meaning and value of their work, and creating ties between their work and the enterprise - are only minimally-legitimized and minimally-supported by organizing structures and tools. We present our results as 'knowledge gaps', and propose design recommendations to reduce these gaps and consequently make on-demand knowledge work more effective and sustainable.
Automated mapping of competitive and collaborative overlapping talk in video meetings.

Video meetings are notorious for difficulties with conversational turn-taking, which has impacts on inclusion and outcomes. We present a scalable automatic process to categorize turn-taking patterns in remote meetings based on eyes-off analysis of meeting transcripts. Drawing on a series of remote meetings (10 series, 34 total meetings) recorded in July-August 2021 by employees of a global technology company, we identified and parametrized patterns of cooperative and competitive overlaps of turns. The results show initial success characterizing people's behaviours as either likely to continue or cede turns based on either the amount of overlap that they produce during other's turns or the amount of overlap they experience in their own turns. With further development and validation, this method could be used to measure inclusion in remote and hybrid meetings.
Optic Nerve Sheath Diameter for Predicting Outcomes in Post-Cardiac Arrest Syndrome: An Updated Systematic Review and Meta-Analysis

We aimed to identify the efficacy of optic nerve sheath diameter (ONSD) in predicting mortality and poor neurological outcomes (PNO) in post-cardiac arrest syndrome (PCAS) by the measurement time of outcomes. We conducted an extensive literature search in EMBASE, MEDLINE, and Cochrane Library, which included studies on the prognostic accuracy of ONSD in predicting PNO and mortality in PCAS by the measured time of outcomes. A total of 791 patients from nine studies were included. Increased ONSD was weakly associated with PNO by a high heterogeneity (standardized mean difference with 95% confidence interval = 0.74 (0.22, 1.27); I2 = 87%). The analysis by the measurement time of PNO and mortality for ONSD had no significant difference due to insufficient articles or high heterogeneities. The prognostic accuracy of ONSD was 23.97 (pooled diagnostic odds ratio, I2 = 0%) and 0.94 (area under the curve) for short-term PNO. The pooled results showed low or very low quality and very low quality of evidence for PNO and mortality, respectively. ONSD measurement might be an effective predictor for short-term PNO in PCAS. An analysis by measurement time of outcomes showed no significant evidence for ONSD measurement effectiveness in predicting mortality and PNO.
Microsoft Word-2605495-file00

244 words Introduction: 501 words Discussion: 1492 words Abbreviations: CYP, cytochrome P450; ABC transporter, ATP-binding cassette transporter; NR, nuclear receptor; TF, transcriptional factor; AhR, aryl hydrocarbon receptor; LXR, liver X receptor; PPAR, peroxisome proliferator-activated receptor; RXR, retinoid X receptor; PXR, pregnane X receptor; CAR, constitutive androstane receptor, ER, estrogen receptor; FXR, farnesoid X receptor; CPR, cytochrome P450 reductase; FDXR, ferredoxin reductase; MnSOD, manganese superoxide dismutase; IRE1alpha: microsomal inositol-requiring enzyme 1 alpha; PCA, principal component analysis; BBB, blood-brain barrier; qRT-PCR, quantitative reverse transcriptase polymerase chain reaction. This article has not been copyedited and formatted. The final version may differ from this version. DMD Fast Forward. Published on April 9, 2009 as DOI: 10.1124/dmd.109. 027011 at A PE T Jornals on M arch 9, 2022 dm d.aspurnals. org D ow nladed from
Teaching self-efficacy in inclusive education and characteristics of the teaching context

The objective of this study was to describe the association of teachers' self-efficacy in inclusive educational practices with variables of the teaching context and teachers' characteristics. There were 193 teachers in basic education, 77.72 % female and 22.28 % male from private, confessional and public state schools located in the municipalities of Belém and Castanhal, Pará, Brazil. The instruments of characterization and the scale of effectiveness of teachers in inclusive educational practices were applied. The data analysis techniques were factorial analysis and correspondence analysis. Among the results found, associations between the investigated variables were verified, which suggests that when judging one's own capacity in inclusive educational practices, the teacher considers some factors present in the context and in his or her teaching path. It is hoped that this study can contribute to the stimulation of continued teacher education in the inclusive context.
Non-propositional intuition , intuitive belief and ‘ intuition that p ’

According to a popular view in philosophy, intuition is a singular propositional attitude. In this paper, I outline an opposite account on “garden-variety intuition”, i.e. intuition that people experience in their daily lives. The account is based on a distinction between intuition on the processing level, ‘intuitive belief’ and ‘intuition that p’. Immediacy and certainty prove to be the phenomenal features of intuitive beliefs and intuitions that p. Regarding the processing level, I suggest to combine dual-process theory and the theory of mental models, and I claim that this results in non-propositional intuitions. Finally, I argue that non-propositional intuitions are fundamental for garden-variety intuition: They constitute inclinations to believe, possibly resulting in intuitive beliefs or intuitions that p.
TECHNOLOGICAL CHANGE AND THE MEXICAN LABOR MARKET: THE ROLE OF TASKS CAMBIO TECNOLÓGICO Y EL MERCADO LABORAL MEXICANO: EL PAPEL DE LAS TAREAS

Resumen: Utilizando datos de la ENIGH 2000-2014, este trabajo tiene como objetivo, en primer lugar, describir lo que está sucediendo en el mercado laboral mexicano en cuanto a la oferta y demanda relativa de trabajadores definidos por su ocupación, cuando las ocupaciones se clasifican en no rutinarias y rutinarias y, dentro de éstas, en cognitivas y manuales, basados en un análisis exhaustivo de tareas. En segundo lugar, este art́ıculo trata de comprender cómo los salarios y la formalidad se relacionan con el cambio tecnológico sesgado por tareas (TBTC, por sus siglas en inglés) en México. El análisis diferencia los mercados laborales masculino y femenino.
The link between autism and sex-specific neuroanatomy, and associated cognition and gene expression

Objectives. The male preponderance in autism spectrum conditions (ASC) prevalence is among the most pronounced sex ratios across different neurodevelopmental conditions. Here, we aimed to elucidate the relationship between autism and typical sex-differential neuroanatomy, cognition, and related gene expression. Methods. Using a novel deep learning framework trained to predict biological sex, we compared sex prediction model performance across neurotypical and autistic males and females. Multiple large-scale datasets were employed at different stages of the analysis pipeline: a) Pre-training: the UK Biobank sample (>10.000 individuals); b) Transfer learning and validation: the ABIDE datasets (1,412 individuals, 5-56 years of age); c) Test and discovery: the EU-AIMS/AIMS-2-TRIALS LEAP dataset (681 individuals, 6-30 years of age) and d) Specificity: the Neuroimage and ADHD200 datasets (887 individuals, 7-26 years of age). Results: Across both ABIDE and LEAP we showed that features positively predictive of neurotypical males were on average more predictive of autistic males (P=1.1e-23). Features positively predictive of neurotypical females were on average less predictive of autistic females (P=1.2e-22). These accuracy differences in autism were not observed in individuals with ADHD. In autistic females the male-shifted neurophenotype was further associated with poorer social sensitivity and emotional face processing while also with associated gene expression patterns of midgestational cell types. Conclusions: Our results demonstrate a shift in both autistic male and female individuals' neuroanatomy towards male-characteristic patterns associated with typically sex-differential, social cognitive features and related gene expression patterns. Findings hold promise for future research aimed at refining the quest for biological mechanisms underpinning the etiology of autism.
Predictors of HIV testing among youth 15–24 years in urban Ethiopia, 2017–2018 Ethiopia population-based HIV impact assessment

Introduction: Youth (adolescents and young adults) aged 15-24 years comprise approximately 22% of Ethiopias total population and make up 0.73% of HIV cases in urban Ethiopia. However, only 63% of HIV-positive youth are aware of their HIV status. We described the HIV testing behaviors of youth 15-24 years and determined the characteristics of those who were most likely to be tested for HIV within the past year. Methods: Using data from the 2017-2018 Ethiopia Population-based HIV Impact Assessment, we provide survey-weighted estimates and prevalence risk ratios for engagement in HIV testing in the 12 months preceding the survey. We model the likelihood of HIV testing one year or more before the survey compared to never testing, using a multinomial logistic regression model. Results: Among HIV-negative and unaware HIV-positive youth 15-24 years old (N=7,508), 21.8% [95% Confidence Interval (CI): 20.4-23.3%] reported testing for HIV in the last 12 months. Female youth [Prevalence Ratio (PR)=1.6, 95% CI: 1.4-1.8], those aged 20-24 years (PR=2.6, 95% CI:2.3-2.9), and those ever married (PR=2.8, 95% CI: 2.5-3.1) were more likely to have tested for HIV within the last year. Adjusting for select demographic characteristics, sex with a non-spousal or non-live-in partner [Relative Risk (RR)=0.3, 95% CI:0.1-0.8] among males did not increase their likelihood to test for HIV in the prior 12 months. Female youth engaged in antenatal care (RR=3.0, 95% CI: 1.7-5.3) were more likely to test for HIV in the past year. Conclusion: The Ethiopian HIV case finding strategy may consider approaches for reaching untested youth, with a specific focus on adolescent males. This is critical towards achieving the UNAIDS HIV testing goal of 95% of all individuals living with HIV aware of their status by 2030.
Virality and the Virus: COVID-19 Cures on Twitter in India

Social media platforms often become environments of information ambiguity during crisis events. We studied the discussion around four”cures” for COVID-19 in India, where the highest number of cases were recorded between 2020 and May 2021, focusing on the role played by high network accounts on social media such as those of journalists, politicians, and celebrities. We find that information scarcity and anxiety among citizens enabled non-experts, particularly the aforementioned social media influencers. We find that this undermined institutional sources of information and led to massive spikes in online interest around unproven cures during the peak of the crisis. © 2022 IEEE Computer Society. All rights reserved.
CLIMATE CHANGE AND COCOA PRODUCTION IN THE BRAZILIAN AMAZON BIOME

In the current context, projections indicate that the agricultural sector is one of the most vulnerable to the impacts caused by climate change. Thus, this work aimed to identify the relationship of the current scenario of edaphoclimatic adequacy with the production and productivity of cocoa. As well as investigate the edaphoclimatic suitability in future scenarios. For this purpose, the determination of the correlation between the variables was performed using the formula of Pearson's correlation coefficient. The results indicated that there is a low or no correlation in the current scenario with the production and productivity of cocoa. Furthermore, there will be large losses in soil and climate suitability in future scenarios. Therefore, it was possible to conclude that it is necessary to take measures to avoid the intensification of climate change, such as combating illegal deforestation in order to prevent future climate change scenarios from occurring.
Comparison of Retinal Nerve Fibre Layer Thickness in Diabetic Patients with and without Diabetic Retinopathy Using OCT (Optical Coherence Tomography)

Purpose: This study intent to highlight the OCT characteristics of the RNFL in patients with diabetic retinopathy. To evaluate the association if any of RNFL thickness with diabetic retinopathy and to evaluate possibility of RNFL thickness changes as precursor to diabetic retinal changes. Methods and Methodology: This study was conducted at Department of Ophthalmology Chalmeda Ananda Rao Institute of Medical Sciences from Aug 2019 to Jan 2020.100 patients fulfilling inclusion and exclusion criteria were included in the study. All patients were subjected to detailed systemic and ophthalmic evaluation and Investigations like Blood Sugars Sr. Creatinine Sr. Cholesterol were done. Inclusion Criteria: Patients with diabetes mellitus over 40 years of age. Exclusion Criteria: Recent ocular surgery (1month) pseudo exfoliation pigment dispersion syndrome thyroid dysfunction long term steroid user’s high myopia media opacities other causes for secondary glaucoma post glaucoma surgery. Results: The Average RNFL thickness in the study was 93.92 micrometres. Average inferior superior nasal RNFL thickness’ is not significant across groups. The average temporal RNFL thickness in the study was 65.02 micrometres and it was significantly thicker (p0.01) across groups. Conclusion: An early increase intemporal RNFL thickness in some stages of diabetic retinopathy could be indicator of impending CSME.
Karyological and morphological variability of Suaeda salsa (L.) Pall. in Bulgaria

Grozeva, N. & Atanassova, S. (2022). Karyological and morphological variability of Suaeda salsa (L.) Pall. in Bulgaria. Bulg. J. Agric. Sci., 28 (2), 305–313 The karyological and morphological intrapopulation and interpopulation variability of Suaeda salsa populations in Bulgaria have been studied in quest of reliable characteristics to distinguish the species from the remaining members of the genus. In all studied populations a tetraploid chromosome number 2n = 36 and a karyotype of metacentric and submetacentric chromosomes have been registered with the metacentric ones being dominant. Vegetative traits are more variable than generative ones. More pronounced is the interpopulation morphological variability, which is probably due to the different environmental conditions, and in some of the populations it also correlates with the recorded karyotype differences. Two types of stomata have been registered: anomocytic and paracytic. Data about the pollen have been presented: pantoporate, spherical, with diameter from 21.1 to 25.81 μm and pore diameter from 1.91 to 2.46 μm. The karyotype has been described for the first time and data have been published about the type of stomata and pollen morphology of S. salsa from Bulgarian populations.
Performance analysis of SCR catalytic converter of diesel engine

Taking a medium-speed marine diesel engine as a simulation object,establish a whole engine model coupled with and without the SCR catalytic converter by AVL_Boost to analyse and compare the performance brought from the SCR catalytic converter. The results showed that as the speed and load of the engine increases,the pressure drop of SCR catalyst converter increase proportionately on the E3 and D2 working conditions. In the comparative analysis of the diesel engine model with and without SCR catalyst converter,whose dynamic and economy perfomences were decreased and the value were less than 5%excepting the E3 mode 100% power condition point. The results can provide a reference for optimum design and type selection of SCR catalytic converters for the marine diesel engine.
Bridging the Gap between Recognition-level Pre-training and Commonsensical Vision-language Tasks

Large-scale visual-linguistic pre-training aims to capture the generic representations from multimodal features, which are essential for downstream vision-language tasks. Existing methods mostly focus on learning the semantic connections between visual objects and linguistic content, which tend to be recognitionlevel information and may not be sufficient for commonsensical reasoning tasks like VCR. In this paper, we propose a novel commonsensical vision-language pre-training framework to bridge the gap. We first augment the conventional image-caption pre-training datasets with commonsense inferences from a visuallinguistic GPT-2. To pre-train models on image, caption and commonsense inferences together, we propose two new tasks: masked commonsense modeling (MCM) and commonsense type prediction (CTP). To reduce the shortcut effect between captions and commonsense inferences, we further introduce the domain-wise adaptive masking that dynamically adjusts the masking ratio. Experimental results on downstream tasks, VCR and VQA, show the improvement of our pre-training strategy over previous methods. Human evaluation also validates the relevance, informativeness, and diversity of the generated commonsense inferences. Overall, we demonstrate the potential of incorporating commonsense knowledge into the conventional recognition-level visual-linguistic pre-training.
Assessing Barriers that Influence Youth Access to Finance for Agribusiness Ventures in Kenya

This study sought to assess barriers that influence youth access to finance for agribusiness ventures in Kenya. The study was guided by two specific objectives; to analyse the level of access to credit by youths for agribusiness ventures and to establish the factors influencing Access to financial services by youth agribusiness owners. The study was anchored on credit access theory. A Descriptive research design was adopted in this study and the sample size of the study included 100 registered and randomly selected agribusiness groups in Kiambu County in Kenya. Self-administered questionnaires were distributed among the youths selected from various Sub Counties of Kiambu County. The study adopted descriptive statistics for analysis of raw data, which included mean, percentages; frequencies whereas chi squares and cross tabulation analysis were used as the main inferential data analysis and processing techniques. The study found that there is generally low access to credit by youths in agribusiness ventures irrespective of the value chain node their business venture was affiliated to. The study also established that a number of factors influenced access to credit facilities by youth in agribusiness such as cost of credit which was pegged on the interest rates charged on credit, pre-requisite conditions laid down by the lenders and requirements needed to access credit such as availability of collaterals, grace periods provided by lenders, membership to a group, the type and size of the agribusiness one is involved in. The type of loan needed by a particular agribusiness also was a factor considered by lenders. The study recommends that financial institutions should consider venturing into innovative financing for unique agribusiness ventures; exploring models of finance that embed de-risking mechanisms to enhance access, fixing affordable interest rates charged on credit as well as optimize conditions and requirements needed to access credit such as low penalties for default, longer repayment period as well as grace periods. On the other hand, the study observed that there was need to have more financiers providing options for equity, debt as well as mezzanine financing models especially for businesses at the early start up stage. The study further recommended that the government needed to intervene by developing policies that enable affirmative action for inclusive finance focused on fledgling ventures owned by youth in agribusiness. Such policies should advocate for establishment of derisking schemes such as credit guarantee frameworks and insurance facilities to enable youth access credit facilities and at affordable
Demographics and Yield–Per–Recruit Assessment of the Vulnerable Spiny Lobster Palinurus elephas in the Azores—Implications for Conservation and Fisheries Management

Simple Summary The spiny lobster Palinurus elephas has been intensively harvested across its range and is generally considered overfished, with global landings declining sharply in the last few years. Despite its economic and ecological importance, limited information is available to perform stock assessments and make robust management decisions. Here, demographics and exploitation levels of P. elephas were determined from coastal areas of the Azores, and the relevance of these data for fisheries management and conservation planning was discussed. Abstract The spiny lobster Palinurus elephas has been intensively harvested across its range and is generally considered overfished, with global landings declining sharply from an average of 820 t in 1960–79 to 385 t in 2000–19. Despite its economic and ecological importance, limited information is available to perform stock assessments and make robust management decisions. In this study, demographics and exploitation levels of P. elephas were determined from coastal areas of the Azores, and the relevance of these data for conservation planning was discussed. Carapace length varied between 39.6 and 174.3 mm, with mean sizes decreasing by depth. Males reached larger sizes and grew faster than females but were less dominant. Lifespan was 43 years for females and 60 years for males. The estimated mean length at first capture was 101.65 mm—around 58% of its asymptotic length. Fishing mortality and exploitation levels were close to the optimal values, indicating an uncertain future for Azorean populations if stock assessment and management initiatives are not focused on this species. Conservation and management strategies may benefit from these results under the ‘precautionary approach’ principle. However, up–to–date and accurate catch and fishing effort data need to be urgently collected.