Miracle-dz/UniFAR-FTUs huggingface dataset:
Biogenic-Mediated Synthesis of the Cs2O–MgO/MPC Nanocomposite for Biodiesel Production from Olive Oil

In this work, a biogenic-mediated approach is successfully used to synthesize a novel heterogeneous Cs2O–MgO/MPC basic nanocomposite. For the first time, the established technicality employs pomegranate seed extract that gives a green capping fuel and reducing mediators during an aqueous solution combustion process of metal ion precursors. The synthesized nanocomposites were identified by X-ray diffraction, Fourier transform infrared, N2 isotherms, field emission scanning electron microscopy, and CO2-TPD analyses. The transesterification process of olive oil was used to evaluate the catalytic performance. The nanocomposite displayed outstanding catalytic efficiency stemming from the boosting of the reactant and product diffusion. The transesterification activity and the optimization design were assessed by applying the response surface methodology. Based on the experimental tests, the finest experimental conditions with a biodiesel yield of 96.1% are 4 h, 4% catalyst amount, an oil/methanol ratio of 1:15, and a temperature of 65 °C. The predicted optimal conditions based on the statistical model are 6 h contact time, 5.2 % catalyst dose, 65 °C reaction temperature, and 1:15 oil/methanol molar ratio, attaining a biodiesel yield of 95.18%. The catalyst reusability has been performed almost continuously up to four cycles, with no loss of the active constituents. The obtained biodiesel demonstrated characteristics close to those of international standards of biodiesel. Besides, the process employed in this study demonstrated significant potential for further development and commercialization and is cheaper than the refined vegetable oil used in traditional approaches of biodiesel manufacturing.
Hippo Signal Transduction Mechanisms in T Cell Immunity

Hippo signaling pathways are evolutionarily conserved signal transduction mechanisms mainly involved in organ size control, tissue regeneration, and tumor suppression. However, in mammals, the primary role of Hippo signaling seems to be regulation of immunity. As such, humans with null mutations in STK4 (mammalian homologue of Drosophila Hippo; also known as MST1) suffer from recurrent infections and autoimmune symptoms. Although dysregulated T cell homeostasis and functions have been identified in MST1-deficient human patients and mouse models, detailed cellular and molecular bases of the immune dysfunction remain to be elucidated. Although the canonical Hippo signaling pathway involves transcriptional co-activator Yes-associated protein (YAP) or transcriptional coactivator with PDZ motif (TAZ), the major Hippo downstream signaling pathways in T cells are YAP/TAZ-independent and they widely differ between T cell subsets. Here we will review Hippo signaling mechanisms in T cell immunity and describe their implications for immune defects found in MST1-deficient patients and animals. Further, we propose that mutual inhibition of Mst and Akt kinases and their opposing roles on the stability and function of forkhead box O and β-catenin may explain various immune defects discovered in mutant mice lacking Hippo signaling components. Understanding these diverse Hippo signaling pathways and their interplay with other evolutionarily-conserved signaling components in T cells may uncover molecular targets relevant to vaccination, autoimmune diseases, and cancer immunotherapies.
Depressive Symptoms Associated with Low Quality of Life Among Pregnant and Postpartum Women Living with HIV in Chiang Mai, Thailand

Background or Objectives: Women living with HIV (WLHIV) are at increased risk of depression. In pregnancy, depression could affect health and pregnancy outcomes, as well as child rearing. We assessed depressive symptoms and quality of life of WLHIV during the perinatal period. Methods: This cross-sectional study was conducted at 15 hospitals in Chiang Mai, Thailand. The Patient Health Questionnaire-9 and the World Health Organization quality of life questionnaire (WHOQOL-BREF_THAI) were used to screen for depressive symptoms and to assess quality of life (QOL), respectively. Statistical analysis was performed by the SPSS. Descriptive statistics were reported. Factors associated with depressive symptoms were assessed by univariate and multivariate analyses. Linear regression analysis was performed to determine association between depressive symptom scores and QOL. Regression coefficient (b) and 95% confidence intervals (CI) were reported. P-values < 0.05 were considered statistically significant. Results: One hundred WLHIV were enrolled and the mean age was 29.2 ±7.5 years. The overall prevalence of depressive symptoms was 30 (30%), 95% CI 21-39; specifically, 34 (34%) in pregnant and 27 (27%) in postpartum women. Overall, depressive symptoms were mild in 22 (22%), moderate in 7 (7%), and moderately severe in one (1%). Multivariate logistic regression analysis revealed that verbal abuse by partner (b=4.751 (95% CI=2.306-9.790), p< 0.001) and lifetime alcohol use (b=3.403 (95% CI=1.427-8.115), p=0.006) were associated with depressive symptoms. The overall perception of own health and quality of life of WLHIV in all domains were lower than that of HIV-negative women. WLHIV with depressive symptoms had a significantly lower QOL than those without. Conclusion and Global Health Implications: In this study, the prevalence of depressive symptoms in women living with HIV was similar to that in HIV-negative women. WLHIV with depressive symptoms had a significantly lower QOL than those without. Mental health screening in antenatal and postpartum clinic is warranted.
Learning from the real versus the replicated: a comparative study

ABSTRACT The nature of the learning that occurs with real versus replicated objects and environments is an important topic for museums and science centers. Our comparative, exploratory study addressed this area through an investigation of family visits to two different settings: an operating permafrost research tunnel, and a replica of this permafrost tunnel at a science center. We conducted and analyzed family interviews, grounding our work in the Contextual Model of Learning and ideas about sensory components of learning. We found significant differences between the real and replicated environments in terms of what families discussed during interviews. Specifically, the proportion of perceptual (descriptions of features or sensory-based perceptions) talk at the real tunnel was higher than that at the replica tunnel, while the proportion of conceptual talk was higher at the replica tunnel as compared to the real tunnel. The nature of the conceptual talk was similar at the two sites, and often relied on objects as ‘nodes’ of learning. Our findings suggest that visitors were sensorially engaged to a higher degree in the real, versus the replicated, setting. Given these findings, exhibition designers should think carefully about the goals of specific exhibit elements and privilege real objects and immersive experiences accordingly.
Beyond Screen Time: Identity Development in the Digital Age

Abstract We are in the midst of a global transition in which digital “screens” are no longer simply entertainment devices and distractions; rather, adolescents are currently living in a hybrid reality that links digital spaces to offline contexts. Yet, psychological scientists studying the mental health impact of digital experiences largely focus on correlations with “screen time,” leading to oversimplified and atheoretical conclusions. We propose an alternative, functional approach to studying adolescent mental health in the digital age, one that examines why and how digital media affect adolescent development. Specifically, we suggest that understanding identity development—the core developmental task of adolescence—can help pinpoint the digital experiences that contribute to healthy versus problematic mental health outcomes. We have four objectives: (1) integrate principles from clinical and personality psychology with developmental theory to present a theoretical framework for investigating narrative identity; (2) show how this framework provides a useful lens for evaluating the impact of digital media on adolescents; (3) suggest a set of novel hypotheses that specify what kinds of digital contexts and experiences lead to healthy versus problematic mental health outcomes; and (4) propose a detailed research agenda that tests these hypotheses.
The negative impact of the psychiatric model of chronic fatigue syndrome on doctors’ understanding and management of the illness

ABSTRACT Background Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a disabling condition that greatly impacts the lives of sufferers. Many sufferers report problems getting a confirmatory diagnosis and difficulties getting doctors to believe them and offer support. Objective: This paper explores this issue by examining a biopsychosocial (BPS) model of ME/CFS promoted within psychiatry and its potential influence on how doctors might view and manage the illness. Method: A narrative literature review is undertaken to identify salient theory and discourse for consideration. Findings: Psychiatrists proffer a hypothetical model of ME/CFS aetiology and continuance, that instructs doctors to view the illness as a syndrome perpetuated by psycho-social factors that sustain unexplained symptoms such as fatigue, pain and post-exertional malaise, rather than symptoms being related to biological disease processes. The psychiatric model theorises that patients’ symptoms are maintained by their maladaptive beliefs and behaviours, requiring psychotherapy. Conclusion: The psychiatric BPS model of ME/CFS may negatively bias how physicians approach the illness, with doctors directed to view patients’ complaints as manifestations of psychological distress, rather than physical symptoms that require medical investigation or intervention. This finding may help explain why many ME/CFS patients feel disbelieved and unsupported after seeking medical care. Psychiatric theory fails to acknowledge or incorporate a substantial body of evidence showing biological deficits associated with ME/CFS. Medical trainees and physicians need more training and clinical exposure to ME/CFS patients, armed with better awareness of misleading and unproven claims associated with the BPS model.
The Margins of the Language Network in the Brain

This review paper summarizes the various brain modules that are involved in speech and language communication in addition to a left-dominant “core” language network that, for the present purpose, has been restricted to elementary formal-linguistic and more or less disembodied functions such as abstract phonology, syntax, and very basic lexical functions. This left-dominant perisylvian language network comprises parts of inferior frontal gyrus, premotor cortex, and upper temporal lobe, and a temporoparietal interface. After introducing this network, first, the various roles of neighboring and functionally connected brain regions are discussed. As a second approach, entire additional networks were considered rather than single regions, mainly motivated by resting-state studies indicating more or less stable connectivity patterns within these networks. Thirdly, some examples are provided for language tasks with functional demands exceeding the operating domain of the core language network. The rationale behind this approach is to present some outline of how the brain produces and perceives language, accounting, first, for a bulk of clinical studies showing typical forms of aphasia in case of left-hemispheric lesions in the core language network and second, for wide-spread activation patterns beyond this network in various experimental studies with language tasks. Roughly, the brain resources that complement the core language system in a task-specific way can be described as a number of brain structures and networks that are related to (1) motor representations, (2) sensory-related representations, (3) non-verbal memory structures, (4) affective/emotional processing, (5) social cognition and theory of mind, (6) meaning in context, and (7) cognitive control. After taking into account all these aspects, first, it seems clear that natural language communication cannot really work without additional systems. Second, it also becomes evident that during language acquisition the core language network has to be built up from outside, that is, from various neuronal activations that are related to sensory input, motor imitation, nursing, pre-linguistic sound communication, and pre-linguistic pragmatics. Furthermore, it might be worth considering that also in cases of aphasia the language network might be restored by being trained from outside.
Battle and its emotional effect in war termination

Abstract The emotional dimension of the human element of war remains understudied. This article explores war’s fundamental cognitive frame of mind, adversariality, with a focus on its emotional thread, in the context of battle and war termination. Adversariality itself is discussed with specific reference to Clausewitz before key emotional aspects—emotion causation and consequence, and stress, anger, and fear—are explored from the perspective of the emotions sciences literature. Finally, three brief historical cases demonstrate the importance of the emotional side of strategy: Königgratz campaign in 1866, Germany’s defensive campaign in 1918, and the War of the Spanish Succession.
Increasing riverine heat influx triggers Arctic sea ice decline and oceanic and atmospheric warming

Positive river heat–sea ice feedback doubles the river heat effect on declining Arctic sea ice. Arctic river discharge increased over the last several decades, conveying heat and freshwater into the Arctic Ocean and likely affecting regional sea ice and the ocean heat budget. However, until now, there have been only limited assessments of riverine heat impacts. Here, we adopted a synthesis of a pan-Arctic sea ice–ocean model and a land surface model to quantify impacts of river heat on the Arctic sea ice and ocean heat budget. We show that river heat contributed up to 10% of the regional sea ice reduction over the Arctic shelves from 1980 to 2015. Particularly notable, this effect occurs as earlier sea ice breakup in late spring and early summer. The increasing ice-free area in the shelf seas results in a warmer ocean in summer, enhancing ocean–atmosphere energy exchange and atmospheric warming. Our findings suggest that a positive river heat–sea ice feedback nearly doubles the river heat effect.
Evolutionary distinctiveness and conservation priorities in a large radiation of songbirds

Human‐induced impacts such as climate change and habitat alterations, coupled with limits on funding, have forced conservation actions into a mode of triage. Although no current method has been agreed upon as the best approach to select species for conservation, many studies have demonstrated the utility of incorporating phylogenetic diversity into these decisions. In many cases, degree of phylogenetic relatedness is thought to provide a measure of functional diversity, and greater phylogenetic distinctiveness is likely linked to ecosystem stability. Despite recent debate over the validity of this notion, phylogenetic information remains an important factor to consider in evaluating species and regions for conservation attention. Emberizoidea is a large radiation of 830 species, representing roughly 17% of all songbirds and 8% of all birds. Species in this clade are found throughout the Americas and occur in all terrestrial biomes in the region. The large distribution of this clade, coupled with its morphological and ecological diversity, makes it an important radiation to study from an evolutionary and conservation perspective. This study provides conservation priorities for all species in Emberizoidea using evolutionary distinctiveness (ED) and Evolutionarily Distinct and Globally Endangered (EDGE) values from a pseudoposterior distribution of time‐calibrated supertrees. We found that threat level is not correlated with degree of ED, indicating that the most threatened species do not represent a disproportionate amount of ED. In addition, threatened species are slightly clustered across the phylogeny, indicating similar threats may be affecting groups of closely related species such as island radiations or geographically restricted radiations in highly disturbed regions.
Using Drosophila melanogaster To Discover Human Disease Genes: An Educational Primer for Use with “Amyotrophic Lateral Sclerosis Modifiers in Drosophila Reveal the Phospholipase D Pathway as a Potential Therapeutic Target”

Since the dawn of the 20th century, the fruit fly Drosophila melanogaster has been used as a model organism to understand the nature of genes and how they control development, behavior, and physiology. One of the most powerful experimental approaches employed in Drosophila is the forward genetic screen. In the 21st century, genome-wide screens have become popular tools for identifying evolutionarily conserved genes involved in complex human diseases. In the accompanying article “Amyotrophic Lateral Sclerosis Modifiers in Drosophila Reveal the Phospholipase D Pathway as a Potential Therapeutic Target,” Kankel and colleagues describe a forward genetic modifier screen to discover factors that contribute to the severe neurodegenerative disease amyotrophic lateral sclerosis (ALS). This primer briefly traces the history of genetic screens in Drosophila and introduces students to ALS. We then provide a set of guided reading questions to help students work through the data presented in the research article. Finally, several ideas for literature-based research projects are offered as opportunities for students to expand their appreciation of the potential scope of genetic screens. The primer is intended to help students and instructors thoroughly examine a current study that uses forward genetics in Drosophila to identify human disease genes.
A Semantic Based Annotation Technique for the Internet of Things

Due to the recent deployments of Internet of Things (IoT) technologies in many real-life applications, enormous amount of diverse and real-time streams of data are being generated. To facilitate dealing with the heterogeneity of IoT data streams, semantic technologies became the main element to guarantee data interoperability, with its nature to unify concepts, extend knowledge, and share a machine-readable representation of data. In this paper, we propose an adaptable approach for IoT data semantic annotation, to achieve an efficient way to enrich data semantically considering its heterogeneity, volume, and frequency. A use case is implemented using Apache Kafka, Spark to deal with data streams in real-time, and a Semantic ontology model extending the SOSA standard ontology is developed to annotate data into enriched Resource Description Framework (RDF) triples.
Identifying key developers using artifact traceability graphs

Developers are the most important resource to build and maintain software projects. Due to various reasons, some developers take more responsibility, and this type of developers are more valuable and indispensable for the project. Without them, the success of the project would be at risk. We use the term key developers for these essential and valuable developers, and identifying them is a crucial task for managerial decisions such as risk assessment for potential developer resignations. We study key developers under three categories: jacks, mavens and connectors. A typical jack (of all trades) has a broad knowledge of the project, they are familiar with different parts of the source code, whereas mavens represent the developers who are the sole experts in specific parts of the projects. Connectors are the developers who involve different groups of developers or teams. They are like bridges between teams. To identify key developers in a software project, we propose to use traceable links among software artifacts such as the links between change sets and files. First, we build an artifact traceability graph, then we define various metrics to find key developers. We conduct experiments on three open source projects: Hadoop, Hive and Pig. To validate our approach, we use developer comments in issue tracking systems and demonstrate that the identified key developers by our approach match the top commenters up to 92%.
Multimodal Emotion Detection Model Implementing Late Fusion of Audio and Lyrics in Filipino Music

This study explores on the creation of emotion detection models using 200 Filipino songs under the kundiman, novelty, pop, and rock genres, which particularly considers each songs’ pre- chorus, chorus, and bridge parts. It uses Paul Ekman's Six Basic Emotions Model. The emotions induced to the listener by each of the songs were initially annotated and afterwards, validated by a group of music professionals. Energy, Rhythm, and Spectral features were extracted from the segmented audio files while lyric features were extracted by Unigrams, Bigrams, and Trigrams. The extracted audio and lyric features were then used to train the three classifiers, namely k-Nearest Neighbors, Naive Bayes, and Support Vector Machines. The results from the audio and lyrics top-performing models were then fused using weighted averaging as a rule for Late Fusion to verify whether the hybrid models would obtain better results than the single- sourced models (audio-only or lyrics-only).
Aortic valve replacement plus revascularization: The battle of surgical versus transcatheter approach still rages

The current guidelines for primary aortic valve disease suggest, with different class of recommendation, concomitant coronary artery revascularization in all candidates to aortic valve replacement with angiographic evidence of significant coronary artery diameter stenosis (≥70%, ≥50% for left main stenosis) both for surgical or transcatheter approach. Initial (non‐patient‐level) pooled data analyses suggest that a percutaneous transcatheter approach confers similar outcomes compared to a surgical approach in patients with severe AS and CAD. Further scientific evidences from RCTs are warranted to clarify the prognostic impact of CAD on TAVR candidates and to identify the most appropriate revascularization strategy.
NFAT transcription factors are essential and redundant actors for leukemia initiating potential in T-cell acute lymphoblastic leukemia

T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive malignancy with few available targeted therapies. We previously reported that the phosphatase calcineurin (Cn) is required for LIC (leukemia Initiating Capacity) potential of T-ALL pointing to Cn as an interesting therapeutic target. Calcineurin inhibitors have however unwanted side effect. NFAT transcription factors play crucial roles downstream of calcineurin during thymocyte development, T cell differentiation, activation and anergy. Here we elucidate NFAT functional relevance in T-ALL. Using murine T-ALL models in which Nfat genes can be inactivated either singly or in combination, we show that NFATs are required for T-ALL LIC potential and essential to survival, proliferation and migration of T-ALL cells. We also demonstrate that Nfat genes are functionally redundant in T-ALL and identified a node of genes commonly deregulated upon Cn or NFAT inactivation, which may serve as future candidate targets for T-ALL.