Miracle-dz/UniFAR-FTUs huggingface dataset:
Pathogen Recognition and Activation of the Innate Immune Response in Zebrafish

The zebrafish has proven itself as an excellent model to study vertebrate innate immunity. It presents us with possibilities for in vivo imaging of host-pathogen interactions which are unparalleled in mammalian model systems. In addition, its suitability for genetic approaches is providing new insights on the mechanisms underlying the innate immune response. Here, we review the pattern recognition receptors that identify invading microbes, as well as the innate immune effector mechanisms that they activate in zebrafish embryos. We compare the current knowledge about these processes in mammalian models and zebrafish and discuss recent studies using zebrafish infection models that have advanced our general understanding of the innate immune system. Furthermore, we use transcriptome analysis of zebrafish infected with E. tarda, S. typhimurium, and M. marinum to visualize the gene expression profiles resulting from these infections. Our data illustrate that the two acute disease-causing pathogens, E. tarda and S. typhimurium, elicit a highly similar proinflammatory gene induction profile, while the chronic disease-causing pathogen, M. marinum, induces a weaker and delayed innate immune response.
Performance Evaluation of Deep Convolutional Maxout Neural Network in Speech Recognition

In this paper, various structures and methods of Deep Artificial Neural Networks (DNN) will be evaluated and compared for the purpose of continuous Persian speech recognition. One of the first models of neural networks used in speech recognition applications were fully connected Neural Networks (FCNNs) and, consequently, Deep Neural Networks (DNNs). Although these models have better performance compared to GMM / HMM models, they do not have the proper structure to model local speech information. Convolutional Neural Network (CNN) is a good option for modeling the local structure of biological signals, including speech signals. Another issue that Deep Artificial Neural Networks face, is the convergence of networks on training data. The main inhibitor of convergence is the presence of local minima in the process of training. Deep Neural Network Pre-training methods, despite a large amount of computing, are powerful tools for crossing the local minima. But the use of appropriate neuronal models in the network structure seems to be a better solution to this problem. The Rectified Linear Unit neuronal model and the Maxout model are the most suitable neuronal models presented to this date. Several experiments were carried out to evaluate the performance of the methods and structures mentioned. After verifying the proper functioning of these methods, a combination of all models was implemented on FARSDAT speech database for continuous speech recognition. The results obtained from the experiments show that the combined model (CMDNN) improves the performance of ANNs in speech recognition versus the pre-trained fully connected NNs with sigmoid neurons by about 3%.
The powerful pull of brain images

Abstract Recent advances in neuroimaging, especially those springing from the use of functional magnetic resonance imaging, have produced a large body of knowledge that is beginning to weaken the attitude of rejection upheld by many developmental and social psychologist against biologistic approaches to human development. Findings in the area of neuroscience have contributed to a better understanding of developmental phenomena such as self-regulation, aggression or empathy. But despite the promising, new avenues of research opened up by neuroimaging techniques, some criticisms have recently arisen that should be considered regarding the reliability of these techniques. In the near future the convergence of neuroscience, genetics and classic methods which have proved their usefulness in the study of human behaviour, promises a better understanding of human development.
Positive emotions induced by massage do not broaden attention and cognition

The broaden-and-build theory of positive emotions proposes that positive emotions broaden an individual’s scope of attention and cognition and build personal resources over time (Fredrickson, 1998). In this experiment, the broadening facet of the theory was examined. It was hypothesised that compared with a neutral state, positive emotions would result in; a) broadened scope of attention and b) improved performance on a divergent thinking task. Massage therapy was used to elicit positive emotion. A global-local visual processing task was used to examine scope of attention and an Alternative Uses Test assessed divergent thinking. Massage therapy was found to increase the participants’ experience of serenity, contentment, and happiness. However, no differences in scope of attention or performance on the divergent thinking task were found. The results suggest that not all positive emotions lead to cognitive broadening.
Channel width influence on the analog performance of the asymmetric self-cascode FD SOI nMOSFETs

In this paper, the analog performance of the Asymmetric Self-Cascode structure of Fully Depleted SOI nMOSFETs has been evaluated with regards to the variation of channel width, through three-dimensional numerical simulations. The largest gain has been obtained using the narrowest transistor near the source and the widest transistor near the drain.
A Measure of the Quality of Educational Leadership Programs for Social Justice

Purpose: The purpose of this study is to investigate how aspiring principals in the United States are prepared for social justice leadership, by focusing particular attention on equitable leadership for lesbian, gay, bisexual, transgender, intersex, and questioning (LGBTIQ) persons as a measure of the preparation program’s commitment to social justice. Research Method: The research design involved a cross-sectional survey instrument completed by 218 full-time faculty teaching in 53 different University Council for Educational Administration university principal preparation programs. We performed descriptive analysis of Likert-type scale responses with cross-tabulation of selected survey questions and constant comparative analysis of open-ended questions. The descriptive analysis provides a one-moment-in-time snapshot of the perceptions of particular education leadership faculty. As such, the data are illustrative of certain patterns evident across the national sample rather than definitive of these programs. Findings: Findings indicate that LGBTIQ identities and themes are only marginally integrated into U.S. principal preparation programs, inclusive of those identified as social justice programs. Social justice programs that do address LGBTIQ identities frequently depend on one faculty member or course to do so, rather than being integrated throughout the program. Implications for Research and Practice: Strategies are clearly needed for integrating LGBTIQ equitable leadership into U.S. principal preparation. More fundamentally, the study challenges the manner in which social justice discourses are constructed. It suggests that the quality of social justice preparation is appropriately measured, in part, and enhanced by the form of communal engagement with identities and experiences marginal within the social justice discourse itself.
Wellbeing of adult children and ageing parents: associations with intergenerational support and relationship quality

ABSTRACT The current study describes from an attachment-theoretical viewpoint how intergenerational support in adult child-parent relationships is associated with wellbeing in both generations. The attachment perspective and its focus on affective relationship characteristics is considered as an important theoretical framework for the investigation of special relationships across the life span. Data from the Netherlands Kinship Panel Study (N=1,456 dyads) were analysed to investigate if relationship quality moderated the association between providing intergenerational support to parents and wellbeing in adult children, on the one hand, and receiving intergenerational support from children and wellbeing of older parents on the other hand. The perspectives of both relationship partners were taken into account to allow for dependence within dyads. Intergenerational support, in terms of instrumental help provision, was negatively associated with the child's and parent's wellbeing. Being the stronger and wiser partner in adult-child parent relationships, as reflected by giving advice and being the initiator within the relationship, was beneficial for the wellbeing of both generations. Additionally, relationship quality was the strongest predictor of wellbeing in both generations. Parental wellbeing was benefited by filial support in high quality relationships. If an intergenerational relationships was of high quality, the challenges of intergenerational support provision and receipt were easier to deal with for both generations, parents and children.
The microsporidian spore invasion tube. III. Tube extrusion and assembly

The polar filaments within microsporidian spores discharges as tubes with subsecond velocity. Populations of discharging tubes of Glugea hertwigi spores pulse-labeled with latex particles for 1-3 s were consistently devoid of label at the distal ends; discharging tubes were completely labeled after 30- to 60-s exposure to latex. This experiment indicates that discharge tubes grow at the tip. Completely assembled discharge tubes consisted of single, empty cylinders; however, incompletely discharged tubes had a cylinder-within-a-cylinder profile at the distal ends. This observation indicates that the discharge tube material emerges at the distal end by an eversion process. Finally, studies with cinematic Nomarski interference optics of spore tubes extruding across a water-air interphase indicate that all the material emerging from the growing tip of the tube is incorporated into the wall of the discharge tube. Evidence indicates that the polar filament of undischarged spores is a homogeneous coil of polar tube protein equivalent to the polar tube protein in discharged tubes.
Spectrum Analysis of EEG Signals Using CNN to Model Patient’s Consciousness Level Based on Anesthesiologists’ Experience

One of the most challenging predictive data analysis efforts is an accurate prediction of depth of anesthesia (DOA) indicators which has attracted growing attention since it provides patients a safe surgical environment in case of secondary damage caused by intraoperative awareness or brain injury. However, many researchers put heavily handcraft feature extraction or carefully tailored feature engineering to each patient to achieve very high sensitivity and low false prediction rate for a particular dataset. This limits the benefit of the proposed approaches if a different dataset is used. Recently, representations learned using the deep convolutional neural network (CNN) for object recognition are becoming a widely used model of the processing hierarchy in the human visual system. The correspondence between models and brain signals that holds the acquired activity at high temporal resolution has been explored less exhaustively. In this paper, deep learning CNN with a range of different architectures is designed for identifying related activities from raw electroencephalography (EEG). Specifically, an improved short-time Fourier transform is used to stand for the time-frequency information after extracting the spectral images of the original EEG as input to CNN. Then CNN models are designed and trained to predict the DOA levels from EEG spectrum without handcrafted features, which presents an intuitive mapping process with high efficiency and reliability. As a result, the best trained CNN model achieved an accuracy of 93.50%, interpreted as CNN’s deep learning to approximate the DOA by senior anesthesiologists, which highlights the potential of deep CNN combined with advanced visualization techniques for EEG-based brain mapping.
Becoming “One Who Treats”: A Case Study of a Luo Healer and Her Grandson in Western Kenya

Using a case study of a healer and her grandson, this article shows how learning to heal is embedded in the close relationship of reciprocity and care between grandmother and grandchild in Luo society. Through shared daily life with his grandmother, the child develops social sense, respect, and compassion for people, as well as practical skills. By showing that learning to heal is not only embedded in everyday practice and in social relations, but is also a moral and emotional process, this article contributes to sociocultural theories of learning and to ethnographic accounts of childhood in Africa.
Fluorescent Protein-Expressing Neural Progenitor Cells as a Tool for Transplantation Studies

The purpose of this study was to generate quadruple fluorescent protein (QFP) transgenic mice as a source for QFP-expressing neural stem and progenitor cells (NSCs/NPCs) that could be utilized as a tool for transplantation research. When undifferentiated, these NSCs only express cyan fluorescent protein (CFP); however, upon neuronal differentiation, the cells express yellow fluorescent protein (YFP). During astrocytic differentiation, the cells express green fluorescent protein (GFP), and during oligodendrocytic differentiation, the cells express red fluorescent protein (DsRed). Using immunocytochemistry, immunoblotting, flow cytometry and electrophysiology, quadruple transgenic NPCs (Q-NPCs) and GFP-sorted NPCs were comprehensively characterized in vitro. Overall, the various transgenes did not significantly affect proliferation and differentiation of transgenic NPCs in comparison to wild-type NPCs. In contrast to a strong CFP and GFP expression in vitro, NPCs did not express YFP and dsRed either during proliferation or after differentiation in vitro. GFP-positive sorted NPCs, expressing GFP under the control of the human GFAP promoter, demonstrated a significant improvement in astroglial differentiation in comparison to GFP-negative sorted NPCs. In contrast to non-sorted and GFP-positive sorted NPCs, GFP-negative sorted NPCs demonstrated a high proportion of neuronal differentiation and proved to be functional in vitro. At 6 weeks after the intracerebroventricular transplantation of Q-NPCs into neonatal wild-type mice, CFP/DCX (doublecortin) double-positive transplanted cells were observed. The Q-NPCs did not express any other fluorescent proteins and did not mature into neuronal or glial cells. Although this model failed to visualize NPC differentiation in vivo, we determined that activation of the NPC glial fibrillary acid protein (GFAP) promoter, as indicated by GFP expression, can be used to separate neuronal and glial progenitors as a valuable tool for transplantation studies.
Extremum Seeking Control with Second-Order Sliding Mode

The extremum seeking control (ESC) approach with a first-order sliding mode has been proposed for searching a setpoint by making a sliding mode occur, where a performance index tracks a reference signal to reach its extremum. The system dynamics is assumed to be much faster than the parameter updating rate determined by the ESC rule and thus is omitted in the stability analysis for the ESC system with a first-order sliding mode. As a result only a static optimization can be obtained. In this paper, an ESC approach with a second-order sliding mode is proposed with the consideration of the system dynamics such that the performance index can be optimized dynamically even if the system dynamics is not faster than the parameter updating rate for the extremum seeking. The asymptotic second-order sliding mode relay control algorithm is implemented to guarantee the asymptotic convergence to the second-order sliding mode without using the derivative of the performance index. Simulation results show that the second.
Associations between Adolescents' Family Stressors, Life Satisfaction and Substance Use

Current literature suggests that family stressors are positively related to adolescent psychopathology; however, few studies have examined the relationship between family stressors and positive indicators of mental health, such as life satisfaction. Additionally, past literature has found support for life satisfaction as a mediating variable between environmental experiences (i.e., parent-child relationships, major life events) and adolescent psychopathology. Research questions answered in the current study pertain to: (a) the relationship between family stressors (i.e., socio-economic status, family structure, major life events, interparental conflict) and adolescents' life satisfaction, (b) the overall contribution of family stressors to life satisfaction and which stressors are most strongly associated with life satisfaction, and (c) whether life satisfaction mediates the relationship between family stressors and substance use. To answer these questions, self-report surveys from 183 middle school students were analyzed. Results indicate that experiencing major life events and interparental conflict were unique predictors of life satisfaction, and all the family stressors combined accounted for 37% of the variance in life satisfaction. Additionally, the relationship between these two family stressors and substance use was shown to be mediated by life satisfaction. Implications for school psychologists and future directions are discussed.
Reducing HIV-related risk and mental health problems through a client-centred psychosocial intervention for vulnerable adolescents in Addis Ababa, Ethiopia

Ethiopia is experiencing an increasingly urban HIV epidemic, alongside a rise in urban adolescent migration. Adolescent migrants are often confronted by unique social challenges, including living in a difficult environment, abuse and mental health problems. These issues can increase adolescents’ vulnerability to HIV and compromise their capacity to protect themselves and others from HIV. We piloted and assessed the effects of a targeted psychosocial intervention to reduce mental health problems and improve HIV‐related outcomes among migrant adolescents in Addis Ababa.
A phased array calibration technique using eigenstructure methods

An eigenstructure-based method for direction finding in the presence of angularly dependent sensor phase and gain perturbations is presented. One application for this technique is the calibration of a radar array degraded by mutual coupling effects. The method simultaneously computes an estimate of the angle of arrival of a single source and calibrates the array for that specific angle. A calibration curve for a range of angles is derived by using polynomial interpolation to fit a small set of measured calibration points. Since the technique is a variation of the MUSIC processor for angle estimation, it is applicable to both uniform and nonuniform linear array configurations. <<ETX>>
Differential functional magnetic resonance imaging response to food pictures in successful weight-loss maintainers relative to normal-weight and obese controls.

BACKGROUND Prior research indicates that successful weight-loss maintainers (SWLs) work harder than people of normal weight to maintain their weight loss, including greater dietary restriction of fat and higher physical activity levels. However, little work to date has examined how SWLs differ biologically from normal-weight (NW) and obese controls. OBJECTIVE The objective was to compare the brain responses of SWLs to food pictures with those of NW and obese controls. DESIGN Blood oxygen level-dependent responses to high- and low-energy food pictures were measured in 18 NW controls, 16 obese controls, and 17 SWLs. RESULTS Group differences were identified in 4 regions, which indicated significant change in activation in response to the food pictures. SWLs showed greater activation in the left superior frontal region and right middle temporal region than did NW and obese controls-a pattern of results confirmed in exploratory voxel-wise analyses. Obese controls also showed greater activation in a bilateral precentral region. CONCLUSIONS These results suggest that SWLs show greater activation in frontal regions and primary and secondary visual cortices-a pattern consistent with greater inhibitory control in response to food cues and greater visual attention to the food cues. A greater engagement of inhibitory control regions in response to food cues as well as a greater monitoring of foods may promote control of food intake and successful weight-loss maintenance.
The Very Highly Ionized Broad Absorption Line System of the QSO SBS 1542+541

We have analyzed the broad absorption line system of the bright (V ~ 16.5) high-redshift (z = 2.361) QSO SBS 1542+541 using UV spectra from the Hubble Space Telescope Faint Object Spectrograph, along with optical data from the Multiple Mirror Telescope and the Steward Observatory 2.3 m telescope. These spectra offer continuous wavelength coverage from 1200 to 8000 Å, which corresponds to ~340-2480 Å in the QSO rest frame. The line of sight to the object contains only three identified intervening Lyman-limit absorption systems. Only one of these is optically thick at the Lyman edge, a low-redshift (z = 0.156) system with a strong Lyman edge observed at 1055 Å (314 Å in the rest frame) in a Hopkins Ultraviolet Telescope spectrum from the Astro-2 mission. The spectra therefore offer a rare opportunity to study broad absorption lines in the rest-frame extreme UV. We find that the broad absorption line system is lacking in species of relatively low ionization often seen in broad absorption systems, such as C III, O III, and Si IV. Instead, the system is dominated by very high ionization species. The strongest features correspond to O VI, Ne VIII, and Si XII. In addition to other high-ionization lines, we identify apparently saturated broad Lyman-series lines of order Lyγ and higher. There is strong evidence for partial occultation of the QSO emission source, particularly from the higher order Lyman lines that indicate a covered fraction less than 0.2. With the exception of C IV and N V, which are low-ionization species in the context of this system, all of the other lines depress the flux by more than 20%. Absorption from Lyα also depresses the flux more than 20%, indicating that there are at least two different regions contributing to H I absorption. Overall, the data suggest a correlation between a larger covered fraction and a higher state of ionization. These observations reveal inhomogeneity in the ionization structure of the broad absorption line gas. We have used photoionization models to constrain the total column density and ionization state of the system. A single-slab model consistent with our observational limits on the column densities requires NH ≈ 5 × 1022 cm-2 and an incident ionization parameter U ≈ 2. Since the observed covered fractions suggest multiple zones, we also produced a two-slab model and find 1021 cm-2 < NH < 1023 cm-2 and 0.08 < U < 4 for the smaller zone, NH ≳ 3 × 1021 cm-2 and U ≳ 2 for the larger zone. We suggest that the different covered fractions can be explained either by a special line of sight through a disklike geometry or by the existence of density fluctuations of a factor of ≳2 in the broad absorption line gas. The large column density and high state of ionization suggest that the system is likely associated with an X-ray "warm absorber. "
Understanding the Effectiveness of Positioning Bases With Regard to Customer Perceptions

ABSTRACT The purpose of this study is to identify whether brands positioned in customers’ minds with features, abstract, benefit, or surrogate bases differ in their favorability, credibility, and differentiation. First, focus group studies were conducted to determine attributes related with automobiles and to select the automobile brands. Then, a survey was conducted to examine the effectiveness of brands that have different positions in customers’ minds. A perceptual map was derived through correspondence analysis. Results of Kruskal-Wallis and Mann-Whitney U tests revealed that brands positioned on consumers’ minds with different positioning bases differ in their favorability, differentiation, and credibility.