Miracle-dz/UniFAR-FTUs huggingface dataset:
Reg-1α Promotes Differentiation of Cortical Progenitors via Its N-Terminal Active Domain

Reg-1α belongs to the Reg family of small, secreted proteins expressed in both pancreas and nervous system. Reg-1α is composed of two domains, an insoluble C-type lectin domain and a short soluble N-terminal peptide, which is released from the molecule upon proteolytic N-terminal processing, although the biological significance of this proteolysis remains unclear. We have previously shown that binding of Reg-1α to its receptor Extl3 stimulates axonal outgrowth. Reg-1α and Extl3 genes are expressed in the developing cortex but their expression decreases in adulthood, pointing to a possible function of this signaling system at the early developmental stages. Here, we demonstrate that recombinant Reg-1α increases migration and differentiation of cultured embryonic rat telencephalic progenitors via the activation of GSK-3β activity. In vivo overexpression of Reg-1α by in utero electroporation, has a similar effect, favoring premature differentiation of cortical progenitors. Notably, the N-terminal soluble domain, but not the C-type lectin domain, is largely responsible for Reg-1α effects on cortical neuronal differentiation. We thus conclude that Reg-1α via its proteolytically generated N-terminal domain is required for basic development processes.
Coinfection and Genetic Characterization of Porcine Astrovirus in Diarrheic Piglets in China From 2015 to 2018

Porcine astrovirus (PAstV) is broadly distributed globally and exists as at least five distinct genotypes. PAstV, which was recently identified as an important pathogen of diarrhea in piglets, is widely distributed in China. However, few studies have investigated the coinfection and genetic characterization of PAstV in diarrheic piglets in China. In this study, 89 PAstV-positive samples were identified in 543 diarrhea samples in China from 2015 to 2018, of which 75.28% (67/89) were coinfected with three to five different porcine pathogens, while none were positive for PAstV only. Among the 543 diarrhea samples, statistical analysis showed that PAstV-induced diarrhea was potentially associated with coinfection of PEV (p < 0.01) and GARV (p < 0.01). Phylogenetic analysis showed that the 27 identified PAstV strains belong to three different genotypes and that PAstV-2 (81.48%, 22/27) was predominant in diarrheic piglets in China, followed by PAstV-4 (11.11%, 3/27) and PAasV-5 (7.41%, 2/27). Sequence analysis revealed that the 27 RdRp genes identified in this study had nucleotide homologies of 53.8–99.5%. In addition, the RdRp gene of PAstV-4 strain JL/MHK/2018/0115 harbored a unique insert of three nucleotides (GAA) as compared with other known PAstV-4 strains. Furthermore, the genotypes of PAstV varied among different geographical locations, although PAstV-2 was the most widely distributed in China. These data demonstrate that PAstV coinfection with other porcine pathogens was common and there was genetic diversity of PAstV in diarrheic piglets in China.
Deep optics: joint design of optics and image recovery algorithms for domain specific cameras

Application-domain-specific cameras that combine customized optics with modern image recovery algorithms are of rapidly growing interest, with widespread applications like ultrathin cameras for internet-of-things or drones, as well as computational cameras for microscopy and scientific imaging. Existing approaches of designing imaging optics are either heuristic or use some proxy metric on the point spread function rather than considering the image quality after post-processing. Without a true end-to-end flow of joint optimization, it remains elusive to find an optimal computational camera for a given visual task. Although this joint design concept has been the core idea of computational photography for a long time, but that only nowadays the computational tools are ready to efficiently interpret a true end-to-end imaging process via machine learning advances. We describe the use of diffractive optics to enable lenses not only showing the compact physical appearance, but also flexible and large design degree of freedom. By building a differentiable ray or wave optics simulation model that maps the true source image to the reconstructed one, one can jointly train an optical encoder and electronic decoder. The encoder can be parameterized by the PSF of physical optics, and the decoder a convolutional neural network. By running over a broad set of images and defining domain-specific loss functions, parameters of the optics and image processing algorithms are jointly learned. We describe typical photography applications for extended depth-of-field, large field-of-view, and high-dynamic-range imaging. We also describe the generalization of this joint-design to machine vision and scientific imaging scenarios. To this point, we describe an end-to-end learned, optically coded super-resolution SPAD camera, and a hybrid optical-electronic convolutional layer based optimization of optics for image classification. Additionally, we explore lensless imaging with optimized phase masks for realizing an ultra-thin camera, a high-resolution wavefront sensing, and face detection.
Molecular characterization and DNA methylation profile of Libyodrilus violaceous from oil polluted soil

Studies on earthworms using molecular markers are rare in Africa except a handful from South Africa. Reports on Libyodrilus violaceous, an earthworm found in West Africa are available including their metal tolerance and bioaccumulation capacity but their molecular characterization and ecotoxicology studies are scarce. In this study, triplicate L. violaceous specimens were collected from four locations within a petroleum polluted site and one in a control site, ≃1Km away from point of spill. DNA was extracted and 18S rRNA and 16S rRNA genes were amplified and sequenced. DNA methylation of their 18S rRNA gene was determined using Methylation specific PCR (MSP) method. Phylogenetic trees generated for 18S rRNA and 16S rRNA genes grouped L. violaceous within the Eudrilidae family concurrent with its conventional grouping and MSP results indicate no methylation in L. violaceous population from this site.
Specific Targeting of Notch Ligand-Receptor Interactions to Modulate Immune Responses: A Review of Clinical and Preclinical Findings

Understanding and targeting Notch signaling effectively has long been valued in the field of cancer and other immune disorders. Here, we discuss key discoveries at the intersection of Notch signaling, cancer and immunology. While there is a plethora of Notch targeting agents tested in vitro, in vivo and in clinic, undesirable off-target effects and therapy-related toxicities have been significant obstacles. We make a case for the clinical application of ligand-derived and affinity modifying compounds as novel therapeutic agents and discuss major research findings with an emphasis on Notch ligand-specific modulation of immune responses.
Biocontrol of Botrytis cinerea on Grape Berries as Influenced by Temperature and Humidity

Six commercial biocontrol agents (BCAs, containing Aureobasidium pullulans, Bacillus amyloliquefaciens, Bacillus amyloliquefaciens plantarum, Bacillus subtilis, Pythium oligandrum, or Trichoderma atroviride) were applied to ripening berries that were then incubated at one of four temperatures (T, 15, 20, 25, and 30°C) and one of four relative humidity levels (RH, 60, 80, 90, and 100%). After 1 to 13 days of incubation (BCA colonization period), the berries were inoculated with conidia of Botrytis cinerea and kept at 25°C and 100% RH for 7 days, at which time Botrytis bunch rot (BBR) was assessed. The response of BBR control to T/RH conditions and BCA colonization period differed among BCAs; the coefficients of variation among the BCAs ranged from 44.7 to 72.4%. An equation was developed that accounted for the combined effects of T, RH, and BCA colonization period on BBR control. The equation, which had an R2>0.94, could help farmers select the BCA to be used for a specific application based on weather conditions at the time of treatment and in the following days.
Knockdown of Death-Associated Protein Expression Induces Global Transcriptome Changes in Proliferating and Differentiating Muscle Satellite Cells

Death-associated protein (DAP) undergoes substantial changes in expression during turkey skeletal muscle development, decreasing from the 18 day embryonic stage to 1 day posthatch, and again from 1 day posthatch to 16 weeks of age. These changes suggest that DAP plays an important role at critical stages of the developmental process. The objective of this study was to elucidate the role of DAP in muscle development by examining the effect of reduced DAP expression on global gene expression in proliferating and differentiating turkey pectoralis major muscle satellite cells. Small interfering RNA was used to knock down expression of DAP and the transcriptome was subsequently profiled using a turkey skeletal muscle long oligonucleotide microarray. Microarray data were corroborated using quantitative real-time PCR. In proliferating cells, 458 loci, resulting in 378 uniquely annotated genes, showed differential expression (false discovery rate, FDR < 0.05). Pathway analysis highlighted altered eukaryotic translational initiation factors (eIFs) signaling, protein ubiquitination, sirtuin signaling, and mechanistic target of rapamycin (mTOR) signaling as the primary pathways affected in the knockdown proliferating cells. The findings underpinned the potential DAP involvement in cell proliferation of turkey satellite cells through the coordination between protein synthesis and cell cycle. In differentiating cells, 270 loci, accounting for 189 unique genes, showed differential expression (FDR < 0.05). Decreased expression of genes encoding various myofibrillar proteins and proteins involved in sarcoplasmic reticulum calcium flux suggests that DAP may affect regulation of calcium homeostasis and cytoskeleton signaling. This study provides the first evidence that reduced expression of DAP significantly alters the transcriptome profile of pectoralis major muscle satellite cells, thereby reducing proliferation and differentiation.
Are clupeid microphagists herbivorous or omnivorous? A review of the diets of some commercially important clupeids

There are two main schools of thought regarding the diet of clupeids, especially those inhabiting upwelling regions: either that they are herbivorous or that they are omnivorous but consume mainly zooplankton. The former view has been employed to explain their abundance in upwelling areas because of their purported ability to utilize the primary producers efficiently, thereby shortening the food chain by one or two links. The literature regarding the trophic ecology of commercially important clupeids is reviewed, and it is concluded that there are few true phytophagists in the group. Most are omnivorous microphagists which derive the bulk of their energy from zooplankton. Results showing that these fish are herbivorous are deemed to derive from inadequate sampling strategies and the use of subjective analytical methods for the examination of stomach contents.
Individual Tree-Crown Detection and Species Classification in Very High-Resolution Remote Sensing Imagery Using a Deep Learning Ensemble Model

Traditional methods for individual tree-crown (ITC) detection (image classification, segmentation, template matching, etc.) applied to very high-resolution remote sensing imagery have been shown to struggle in disparate landscape types or image resolutions due to scale problems and information complexity. Deep learning promised to overcome these shortcomings due to its superior performance and versatility, proven with reported detection rates of ~90%. However, such models still find their limits in transferability across study areas, because of different tree conditions (e.g., isolated trees vs. compact forests) and/or resolutions of the input data. This study introduces a highly replicable deep learning ensemble design for ITC detection and species classification based on the established single shot detector (SSD) model. The ensemble model design is based on varying the input data for the SSD models, coupled with a voting strategy for the output predictions. Very high-resolution unmanned aerial vehicles (UAV), aerial remote sensing imagery and elevation data are used in different combinations to test the performance of the ensemble models in three study sites with highly contrasting spatial patterns. The results show that ensemble models perform better than any single SSD model, regardless of the local tree conditions or image resolution. The detection performance and the accuracy rates improved by 3–18% with only as few as two participant single models, regardless of the study site. However, when more than two models were included, the performance of the ensemble models only improved slightly and even dropped.
Emotional and Cognitive Responses to Theatrical Representations of Aggressive Behavior

Representation of human conflict is central to theater performance. In our study, we have used self-reported measures of emotional experience and a word recall task, in order to assess the effects of theatrical representations of violence. Forty participants were randomly assigned to the role of performer or spectator, in either a realistic representation of a script or in a version that recollected the same actions of the script in a series of intertwined monologs. The script represented an aggressive interaction between two work colleagues. Our results show both statistically significant differences in the levels of depression and positive emotions reported after enacting the script, as well as differences in the performance on the word recall task containing aggressive related and non-related stimuli. The results point to stronger effects for performing theatrical representations of violent actions, as compared to recollecting or watching such actions. The fact that actors experienced higher positive emotions is in line with the two-pedal model of aggressive behavior. This model suggests that negative emotions toward aggressive behavior might change to positive emotions due to the repetition in performing violent behaviors, as a key for the transition from reactive aggression to appetitive aggression. Other implications for the study of aggression in theatrical representations are discussed.
Climate change mitigation as a co-benefit of regenerative ranching: insights from Australia and the United States

‘Managed grazing’ is gaining attention for its potential to contribute to climate change mitigation by reducing bare ground and promoting perennialization, thereby enhancing soil carbon sequestration (SCS). Understanding why ranchers adopt managed grazing is key to developing the right incentives. In this paper, we explore principles and practices associated with the larger enterprise of ‘regenerative ranching’ (RR), which includes managed grazing but infuses the practice with holistic decision-making. We argue that this broader approach is appealing due to a suite of ecological, economic and social benefits, making climate change mitigation an afterthought, or ‘co-benefit’. RR is challenging, however, because it requires a deep understanding of ecological processes along with a set of skills related to monitoring and moving livestock and feeding the soil microbiome. We review the literature regarding links between RR and SCS, then present results of qualitative research focused on motivators, enablers and constraints associated with RR, drawing on interviews with 52 practitioners in New South Wales, Australia and the western United States. Our analysis is guided by a conceptual model of the social–ecological system associated with RR that identifies determinants of regenerative potential. We discuss implications for rancher engagement and conclude with a consideration of leverage points for global scalability.
Whole-Genome Sequencing of a Mycobacterium tuberculosis Strain Belonging to Lineage 1 (Indo-Oceanic) and the East African Indian Spoligotype, Isolated in Jazan, Saudi Arabia

We describe here the draft genome sequence of AY1MRC, a Mycobacterium tuberculosis strain belonging to lineage 1 (Indo-Oceanic) and the East African Indian spoligotype, isolated from a patient with tuberculosis in Jazan, Saudi Arabia. ABSTRACT We describe here the draft genome sequence of AY1MRC, a Mycobacterium tuberculosis strain belonging to lineage 1 (Indo-Oceanic) and the East African Indian spoligotype, isolated from a patient with tuberculosis in Jazan, Saudi Arabia.
Virtual hands in VR: motion capture, synthesis, and perception

We use our hands every day: to grasp a cup of coffee, write text on a keyboard, or signal that we are about to say something important. We use our hands to interact with our environment and to help us communicate with each other without thinking about it. Wouldn't it be great to be able to do the same in virtual reality? However, accurate hand motions are not trivial to capture. In this course, we present the current state of the art when it comes to virtual hands. Starting with current examples for controlling and depicting hands in virtual reality (VR), we dive into the latest methods and technologies to capture hand motions. As hands can currently not be captured in every situation and as constraints stopping us from intersecting with objects are typically not available in VR, we present research on how to synthesize hand motions and simulate grasping motions. Finally, we provide an overview of our knowledge of how virtual hands are being perceived, resulting in practical tips on how to represent and handle virtual hands. Our goals are (a) to present a broad state of the art of the current usage of hands in VR, (b) to provide more in-depth knowledge about the functioning of current hand motion tracking and hand motion synthesis methods, (c) to give insights on our perception of hand motions in VR and how to use those insights when developing new applications, and finally (d) to identify gaps in knowledge that might be investigated next. While the focus of this course is on VR, many parts also apply to augmented reality, mixed reality, and character animation in general, and some content originates from these areas.
Users' Experience of Digital Wayfinding Screens: A Uses and Gratification Perspective from South Africa

Marketing and business communication researchers have neglected the wayfinding capabilities of digital out-of-home communication in the retailing landscape. The current study focuses on digital wayfinding screens in the South African shopping mall environment. The aim is understanding users’ experience of digital wayfinding screens, guided by the uses and gratification theory. Shoppers were interviewed about their views and actions while engaging in the wayfinding process in large upmarket shopping malls. The in-depth semistructured interviews were recorded and then the content was analysed. The findings provide a rich and comprehensive understanding of shoppers’ content gratifications and process gratifications when utilising this contemporary medium. The current study identifies four uses and gratifications for digital wayfinding screens: convenient process gratifications, interactive process gratifications, informational content gratification, and entertaining content gratifications. Understanding the gratification dimensions of digital wayfinding screens contributes to contemporary media research and forms the basis of valuable guidelines for practitioners in retail media and design.
Misperceptions of Predominant Slum Locations? Spatial Analysis of Slum Locations in Terms of Topography Based on Earth Observation Data

Slums are a physical expression of poverty and inequality in cities. According to the UN definition, this inequality is, e.g., reflected in the fact that slums are much more often located in hazardous zones. However, this has not yet been empirically investigated. In this study, we derive proxies from multi-sensoral high resolution remote sensing data to investigate both the location of slums and the location of slopes. We do so for seven cities on three continents. Using a chi-squared test of homogeneity, we compare the locations of formal areas with that of slums. Contrary to the perception indirectly stated in the literature, we find that slums are in none of the sample cities predominantly located in these exposed areas. In five out of seven cities, the spatial share of slums on hills steeper than 10° is even less than 5% of all slums. However, we also find a higher likelihood of slums occurring in these exposed areas than of formal settlements. In six out of seven sample cities, the probability that a slum is located in steep areas is higher than for a formal settlement. As slums mostly feature higher population densities, these findings reveal a clear tendency that slum residents are more likely to settle in exposed areas.
Physics-based differentiable rendering: from theory to implementation

Physics-based rendering algorithms generate photorealistic images by simulating the flow of light through a detailed mathematical representation of a virtual scene. In contrast, physics-based differentiable rendering algorithms focus on computing derivative of images exhibiting complex light transport effects (e.g., soft shadows, interreflection, and caustics) with respect to arbitrary scene parameters such as camera pose, object geometry (e.g., vertex positions) as well as spatially varying material properties expressed as 2D textures and 3D volumes. This new level of generality has made physics-based differentiable rendering a key ingredient for solving many challenging inverse-rendering problems, that is, the search of scene configurations optimizing user-specified objective functions, using gradient-based methods (as illustrated in the figure below). Further, these techniques can be incorporated into probabilistic inference and machine learning pipelines. For instance, differentiable renderers allow "rendering losses" to be computed with complex light transport effects captured. Additionally, they can be used as generative models that synthesize photorealistic images.
Informal Status and Taking Charge: The Different Roles of OBSE, P-J Fit, and P-S Fit

Status in an organization is considered a significant antecedent to an employee’s work-related behaviors. However, the relationship between knowledge workers’ informal status and “taking charge” has been ignored in previous human resource management research. Based on the self-consistency theory, this study examines the mechanisms underlying the influence of knowledge workers’ informal status on taking charge. Data were collected from 337 dyads of employees and their immediate supervisors in 24 enterprises and companies. The results of moderated-mediation analysis indicate organization-based self-esteem (OBSE) fully mediated the positive relationship between knowledge workers’ informal status and taking charge, whereas person-job fit (P-J fit) and person-supervisor fit (P-S fit) each moderated the relationship between knowledge workers’ informal status and OBSE, in addition to the indirect effect of knowledge workers’ informal status on taking charge. Specifically, the indirect effect was strongest when P-J fit or P-S fit was high. The theoretical and managerial implications of the findings, limitations of the study, and future research directions are discussed.