Miracle-dz/UniFAR-FTUs huggingface dataset:
Early Mother-Infant Coordination and Later Language Development in Infants at High and Low Risk for Autism Spectrum Disorder

The overarching goal of this research was to describe the development of the dyadic coordination of vocalization and gaze behavior between mothers and infants over the first year of life in infants at heightened vs. low risk for autism spectrum disorder. In addition to describing developmental trajectories of behavior, the study aimed to increase our understanding of how coordination is established and develops by investigating how measures of individual vocal and gaze behavior and their coordination within and across modalities related to one another concurrently and across time, and by relating early interactive behaviors to later language development. Thirty dyads were recorded playing together with a standard set of toys when infants were 3, 6, 9, and 12 months of age, and mother and infant vocalization and gaze behaviors were coded from these videos on a moment-to-moment basis. Coordination was analyzed using both cross-recurrence quantitative analysis and event-based measures of analysis. Hierarchical linear modeling was used to examine developmental trajectories of vocalization and gaze coordination as well as the multi-modal coordination of these two behaviors. Results indicated that coordination of the timing of vocalization and gaze behaviors is early emerging and supported by both mother and infant behavior, but that relations between coordination across domains and ages are not straightforward. Furthermore, contrary to expectations, few risk status differences were found, and there was no evidence that early coordination predicted later language development. Taken together, these findings paint a complex picture of how dyadic gaze and vocal coordination develop. Rather than coordination emerging due to individual characteristics of mothers and infants within dyads, the data suggest that coordination emerges as a feature of the larger interaction between infant developmental ability and behavior, mother behavior, and the overarching context of the interaction. The results underscore the importance of understanding mother and infant behavior during social interactions as transactional and multi-modal, and also provide new evidence that coordination of behaviors does not develop in a simple, linear fashion, nor is it driven primarily by parent and infant traits.
Lecturer’s Language Style and Students’ Academic Self Efficacy in Higher Education of Indonesia

This research is aimed at finding out the influence of lecturers’ language style on students’ academic self-efficacy in higher education in Indonesia. This research is conducted to describe the correlation between lecturers’ language style and students’ academic. As one of the aspects of forming academic self-efficacy, language style has an important role because someone who can get information verbally about his ability in mastering certain duty tends to do more efforts. In addition, it makes him more diligent in doing a duty. Also, language style positively increases the student's self-confidence and vice verse. This research involves seventy students who fill in the questionnaire about the lecturer language style and academic self-efficacy scale. Data were analyzed by using simple linear regression analysis. The result of the research shows that lecturer’s language style has a coefficient of determination of 23.5% towards the students’ academic self-efficacy. Finally, this research affirms that positive lecturer language style can improve the students’ belief towards their ability while the negative language style can weaken the students’ self-efficacy. This is supported by the statement of Pajares (2002) who state that the negative language style can easily weaken the students’ self efficacy.
Mental Health and Its Sociodemographic Determinants among High School Students: A Cross-Sectional Survey in Qazvin City of Iran

Introduction: Adolescence is one of the most important stages of human life, and there is a lot of evidence in the literature that psychiatric disorders can be transmitted through adolescence social interactions in high school. The present study aimed to assess mental health and its sociodemographic determinants among high school students in Iran. Methods: In this cross-sectional study, 600 female high school students from Qazvin were selected using cluster sampling. The 28-item General Health Questionnaire was administrated to collect data. t-tests, analysis of variance, and Pearson's correlation analysis were applied to analyze the data. Results: Mental disorders were found in 60% of the students with 3.3% suffered from severe disorders. The participants' mean score of mental health was 29.31 ± 14.63. Somatic symptoms, anxiety, social dysfunction, and depression were presented in 36%, 49.7%, 50%, and 41.3% of the students, respectively. Students' mental health was significantly related with their father's education and household income. However, students' season of birth, school grade, body mass index, grade point average, mother's education, and father's occupation were not significantly related with their mental health. Conclusion: Poor mental health was found to be highly frequent among female students. Low income and father's low education level were identified as the risk factors of poor mental health among female students in Qazvin.
Analysis of Structured and Un-Structured Network Protocols for Data Aggregation Over Distributed Wireless Sensor Networks

Analysis of Structured and Un-Structured Network Protocols for Data Aggregation Over Distributed Wireless Sensor Networks Priyashraba Misra The focus of this thesis is on design and evaluation of one-shot data aggregation protocols for static and mobile wireless sensor networks (WSNs). The goal in one-shot data aggregation is to compute a statistical summary of sensor data such as max, average, sum, count and min, when initiated by a special node such as the base station. WSNs have wide range of applications in both static and mobile/dynamic systems. Static sensor networks are especially useful when monitoring is required in harsh, inaccessible environments and when the region to be monitored is really large. Examples of static sensor network applications include environmental monitoring systems, monitoring of industrial control systems, monitoring of degradation in slagging gasifiers, distributed object detection and tracking. Example of mobile applications include vehicular ad-hoc networks and networks of personal radios used in emergency dispatch and battlefields. For data aggregation in static networks with stable links, structured approaches such as spanning trees are generally preferred. This is because, once a data aggregation structure has been established, link topologies remain fixed and there is minimal need to actively maintain and change the routing structures. In this thesis, one such tree based data aggregation protocol has been designed and evaluated using simulations in networks ranging from 1001000 nodes. The protocol has also been implemented at a smaller scale in the context of a smart refractory environment, where slag penetration in gasifiers is remotely monitored using smart bricks that are embedded with sensors. In mobile networks and networks with frequent link changes, topology driven structures are likely to be unstable and to incur a high communication overhead. Therefore, selfrepelling random walks have been recently proposed as an attractive alternative for data aggregation in mobile systems. In this thesis, a brief overview of random walk based data aggregation has been presented and systematic evaluation of tree based and random walk based data aggregation protocols in networks ranging from 100-1000 nodes under varying degrees of node mobility has been done. The conditions under which unstructured protocols become more attractive in terms of convergence time and messaging efficiency as compared to tree based structured approaches have been quantified.
Games as (Not) Culture: A Critical Policy Analysis of the Economic Agenda of Horizon 2020

This article presents a critical examination of European policy in relation to gamification. We begin by describing how gamification “traveled” as an idea, evolving from controversial yet persuasive buzzword to legitimate policy priority. We then focus on how gamification was represented in Horizon 2020: the flagship European Research & Development program from 2014 to 2020, worth nearly €80 billion of funding. The article argues that the ethically problematic aspects of gamification were removed through a process of policy capture that involved its assimilation in an established European network of research and small and medium enterprise (SME) actors. This process of “ethical neutering” is also observable in the actual funding calls, where the problematic assumptions of gamification around agency and manipulation are made invisible through a superficial commitment to vague and ill-defined criteria of responsible research and innovation.
Lack Of Choice In Caregiving Decision And Caregiver Risk Of Stress, 2005

An aspect of caregiving that has received little attention is the degree to which the choice to provide care affects a caregiver's emotional well-being. We compared a population-based sample of informal caregivers who reported having a choice in caring with caregivers who did not have a choice in caring to determine the extent to which choice affects caregivers' self-reported stress. We identified 341 informal caregivers who completed a caregiving module appended to the 2005 North Carolina Behavioral Risk Factor Surveillance System survey. We determined participants' self-reported stress by using a 5-point scale that was dichotomized and used adjusted binomial logistic regression to assess the risk of stress given lack of choice in caregiving. In the fully adjusted model, caregivers without a choice in caring were more than 3 times as likely to report stress as caregivers with a choice in caring. High level of burden also increased stress. Caregivers with no choice in caring were most commonly the primary caregiver of a parent. Caregivers who do not have a choice in caregiving were at increased risk of stress, which may predispose them to poor health outcomes. Further investigation is needed to determine whether interventions that target caregivers without a choice in caring can reduce their levels of stress.
Preventing criminal minds: Early education access and adult offending behavior

In this paper we estimate the impact of a nationwide public preschool expansion that took place in Spain over the 1990s on criminal behavior later in time. We exploit variation in enrollment rates across Spanish regions and birth-cohorts, and we link education data to a unique administrative crime dataset recording offenses committed in the region of Catalonia over the period 2009-2014. We find that for the average birth cohort, Catalan municipality and year, a 1 percentage point increase in preschool exposure at age 3 yields 1.6% fewer crime actions during youth and young adulthood. We are able to account for region of origin, birth cohort, time and local fixed effects, as well as several region and time-specific controls. Leveraging detailed information on types of crime committed, we propose a categorization of offenses into those likely to have been rationally planned and driven by economic motives, and those in which emotional factors and lack of self-control play a significant role. On average, we find the benefits of preschool to be larger and more robust on crimes belonging to the latter category, suggesting that non-cognitive skills play an important role in explaining the overall effect.
R. A. Fisher and Modern Statistics

Ronald Fisher undoubtedly laid the foundation for modern statistical methods and their application. His work contibuted to statistics to become and develop in an independent scientific discipline. His work on statistical inference on the basis of small sample and the design of experiments is considered outstanding. At the begining Fisher's work was a little accepted anywhere except England. In the 1950s American academic statisticians were more impressed by the work of Neyman and Wald. Later on, Bayesian statistics was drawing more attention in the specific field of application. In the latter part of the 20th century Fisher's influence was overshadowed by the introduction of computers in statistics. However, his work had numerous followers and the number of critics were not insignificant. As distinguished from many other theorists, he was strongly attached to the statistical application. Statistical thought has continued to develop by the introduction of innovations in the theory and application. Many scientists, aware of the deficency in Fisher's methods, made an effort to make them better by relying on new scientific achievements. Generally speaking, Fisher's ideas still have a strong impact on statistical theory. Efron (1998) and some other authors speculated about the future of Fisherian statistics in the light of new technological era. 2. Recent development A great contribution of R. A. Fisher is the development of likelihood as a fundamental concept of making inference about the state of system based on the outcome of a set of experiments of trials. Nowdays ,computationally intensive algorothms make possible wider application of this method and the development of new techniques. Expectation Maximization (EM) iterative algorithm is a statistical technique for maximizing complex likelihood and handling incomplete data problem developed by Dempster et al. (1977). It may be successfully applied in solving Genomic example (Fisher et Balmukand, 1928) It may be applied in estimation mixtures of distributions that occur in many modern areas as pattern recognition and data mining. Also, many problems of classification may be converted to estimation problem. Fisher's papers on discriminant analysis inspired Anderson to research in the area of Multivariate analysis and to write his famous book (1984 ). 3. Extreme value theory
Interactions between the Protein Industry and Blogs: An analysis of Content and Perceptions

This thesis contains two articles that describe and characterize the use of the social media platform of blogging in the context of the animal agriculture and protein industry. The first article used content analysis to analyze blog posts and look for themes throughout the posts. This study included 37 posts from ten authors and resulted in four recurrent themes. The major themes were environment, consumption of protein, alternative protein source, and alternative dieting. The tones regarding these themes were both negative and positive toward the protein industry. The second article used hand-coding to look for themes and similarities concerning flow of information between interviews with blog authors. Six interviews were conducted, two of whom were authors from the first study. All of the bloggers had neutral and/or positive experiences when researching information or taking part in the flow of information. The nature of interactions between bloggers and protein industry representatives took place mostly electronically, as blog authors served as information mediators to the public. Though the views expressed through blog posts and interviews are not holistically representative of the entire U.S. protein and animal agriculture industry, readers are encouraged to apply this research however they see fit. Industry representatives are encouraged to engage in honest, transparent communication with blog authors, as well as with consumers.
Experimental Analysis of a Wireless Sensor Network in a Multi-Chamber Metal Environment

Wireless sensor networks (WSN) are finding increasing use in all-metal marine environments such as ships, oil and gas rigs, freight container terminals, and marine energy platforms. However, wireless propagation in an all-metal environment is difficult to model and the use of sealed doors between compartments further complicates wireless network planning. This makes it necessary to characterise the physical wireless links performance in real environments to support the design and deployment of the network. In this paper, we report on the deployment of a 2.4 GHz network of 18 nodes distributed in three freight containers, with various obstacles inside and between them. Input variables included the placement of the nodes, antenna orientation, transmission power, and door openings while output variables included the key link quality indicators of packet delivery ratio (PDR), RSSI, and LQI for every possible link, as well as the performance of every node. We believe that this is the first time that this full range of physical link quality indicators has been measured in this type of application environment. We found that, even with apparently fully sealed containers, sufficient propagation occurred through micro-openings to allow an 80.65% PDR sink connectivity. Providing as little as a 5 cm door opening increased sink connectivity to 96.92%. Average PDR sink connectivity over all the experiments was 91.97%, indicating that a WSN could operate in a multi-chamber metal structure under different conditions, and can be a viable alternative to reduce cost and complexity in these environments.
Druggable targets and therapeutic development for COVID-19

Coronavirus disease (COVID-19), which is caused by SARS-CoV-2, is the biggest challenge to the global public health and economy in recent years. Until now, only limited therapeutic regimens have been available for COVID-19 patients, sparking unprecedented efforts to study coronavirus biology. The genome of SARS-CoV-2 encodes 16 non-structural, four structural, and nine accessory proteins, which mediate the viral life cycle, including viral entry, RNA replication and transcription, virion assembly and release. These processes depend on the interactions between viral polypeptides and host proteins, both of which could be potential therapeutic targets for COVID-19. Here, we will discuss the potential medicinal value of essential proteins of SARS-CoV-2 and key host factors. We summarize the most updated therapeutic interventions for COVID-19 patients, including those approved clinically or in clinical trials.
Integrative study reveals the prognostic and immunotherapeutic value of CD274 and PDCD1LG2 in pan-cancer

Background: Disorders of CD274 and PDCD1LG2 contribute to immune escape in human cancers, and treatment with anti-programmed death receptor 1 (PD-1) has been widely used in recurrent or metastatic tumors. However, integrated studies considering CD274 and PDCD1LG2 across cancers remain limited. Materials and Methods: Differences in expression levels of CD274 and PDCD1LG2 were analyzed in diverse cancer types using The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases. The clinical information and matched expression profiles of TCGA patients were obtained to determine the prognostic value of CD274 and PDCD1LG2. Moreover, correlations between CD274 and PDCD1LG2 and the immune signature were analyzed by exploring the TIMER2 and TISIDB databases. We also investigated correlations between CD274 and PDCD1LG2 and immunotherapeutic biomarkers, including mismatch repair (MMR), tumor mutation burden (TMB), microsatellite instability (MSI), and DNA methylation. Results: Expression levels of CD274 and PDCD1LG2 varied across multiple cancer types. CD274 and PDCD1LG2 not only impacted the prognosis of patients with cancer but were associated with clinical characteristics (lymph node metastasis, tumor stage, and sex) in kidney renal papillary cell carcinoma, thyroid carcinoma, and some other cancer types. Typically, CD274 and PDCD1LG2 could be strongly correlated with macrophages, dendritic cells, neutrophils, and CD8+ T-cells. Furthermore, CD274 and PDCD1LG2 expression were associated with various immunosuppressive biomarkers, such as CTLA4, TIGIT, and LAG3. In addition, CD274 and PDCD1LG2 were significantly associated with MMR, TMB, MSI, and DNA methylation. Finally, enrichment analysis confirmed that CD274 and PDCD1LG2 were associated with numerous biological pathways, such as: “Activation of Immune Reactions” and “Epithelial-Mesenchymal Transition,” suggesting that CD274 and PDCD1LG2 play crucial roles in cancer immunity and tumor metastasis. Conclusion: CD274 and PDCD1LG2 play critical roles in cancer progression and immune response and could serve as effective biomarkers to predict the prognosis and immune signature of cancer.
Religious/Spiritual Struggles and Life Satisfaction among Young Roman Catholics: The Mediating Role of Gratitude

An extensive review of the psychological literature shows that interactions between religious/spiritual (R/S) struggles and other aspects of human functioning are complex and affected by “third” factors. Still, we have only a few studies that confirm R/S struggles as a source of well-being and indicate the ways in which it happens. In the present study, we aimed to verify whether the relationship between R/S struggles and life satisfaction was mediated by dispositional gratitude that seems to offer protection in times of adversity and turmoil. The sample consisted of 440 Roman Catholics (331 women) from Poland aged between 18 and 40. We applied the Religious Comfort and Strain Scale, the Satisfaction with Life Scale, and the Gratitude Questionnaire. In line with our hypotheses, it was confirmed that respondents with higher life satisfaction were more likely to display a higher sense of trust in God. They also declared a lower fear/guilt and perception of God as abandoning people. Gratitude correlated positively and significantly with religious comfort, and negatively with emotions towards God and social interactions surrounding religion. Moreover, it can be affirmed that dispositional gratitude mediated the relationship between three of four dimensions of religious strain and life satisfaction: religious comfort, negative emotions towards God, and negative social interactions surrounding religion.