Miracle-dz/UniFAR-FTUs huggingface dataset:
Coordinated directional outgrowth and pattern formation by integration of Wnt5a and Fgf signaling in planar cell polarity

ABSTRACT Embryonic morphogenesis of a complex organism requires proper regulation of patterning and directional growth. Planar cell polarity (PCP) signaling is emerging as a crucial evolutionarily conserved mechanism whereby directional information is conveyed. PCP is thought to be established by global cues, and recent studies have revealed an instructive role of a Wnt signaling gradient in epithelial tissues of both invertebrates and vertebrates. However, it remains unclear whether Wnt/PCP signaling is regulated in a coordinated manner with embryonic patterning during morphogenesis. Here, in mouse developing limbs, we find that apical ectoderm ridge-derived Fgfs required for limb patterning regulate PCP along the proximal-distal axis in a Wnt5a-dependent manner. We demonstrate with genetic evidence that the Wnt5a gradient acts as a global cue that is instructive in establishing PCP in the limb mesenchyme, and that Wnt5a also plays a permissive role to allow Fgf signaling to orient PCP. Our results indicate that limb morphogenesis is regulated by coordination of directional growth and patterning through integration of Wnt5a and Fgf signaling. Summary: During mouse limb morphogenesis, Wnt5a plays both instructive and permissive roles in regulating planar cell polarity by orienting PCP itself, and by allowing apical ectoderm ridge-derived Fgfs to orient PCP.
Strongly Enhanced Sensitivity in Planar Microwave Sensors Based on Metamaterial Coupling

Limited sensitivity and sensing range are arguably the greatest challenges in microwave sensor design. Recent attempts to improve these properties have relied on metamaterial (MTM)-inspired open-loop resonators coupled to transmission lines (TLs). Although the strongly resonant properties of the resonator sensitively reflect small changes in the environment through a shift in its resonance frequency, the resulting sensitivities remain ultimately limited by the level of coupling between the resonator and the TL. This paper introduces a novel solution to this problem that employs negative-refractive-index TL MTMs to substantially improve this coupling so as to fully exploit its resonant properties. A MTM-infused planar microwave sensor is designed for operation at 2.5 GHz, and is shown to exhibit a significant improvement in sensitivity and linearity. A rigorous signal-flow analysis of the sensor is proposed and shown to provide a fully analytical description of all salient features of both the conventional and MTM-infused sensors. Full-wave simulations confirm the analytical predictions, and all data demonstrate excellent agreement with measurements of a fabricated prototype. The proposed device is shown to be especially useful in the characterization of commonly available high-permittivity liquids as well as in sensitively distinguishing concentrations of ethanol/methanol in water.
Complete Genome Sequence of Epizootic hemorrhagic disease virus Serotype 6, Isolated from Florida White-Tailed Deer (Odocoileus virginianus)

ABSTRACT Here, we report the complete genome sequence of Epizootic hemorrhagic disease virus (EHDV) serotype 6 (EHDV-6), isolated from a Florida white-tailed deer (Odocoileus virginianus) in 2016. To our knowledge, this is the first full genome sequence determined for an EHDV-6 isolate from Florida.
Brain Responses Underlying Anthropomorphism, Agency, and Social Attribution in Autism Spectrum Disorder

Background: Theory of Mind (ToM), the ability to attribute mental states to oneself and others, is frequently impaired in Autism Spectrum Disorder (ASD) and may result from altered activation of social brain regions. Conversely, Typically Developing (TD) individuals overextend ToM and show a strong tendency to anthropomorphize and interpret biological motion in the environment. Less is known about how the degree of anthropomorphism influences intentional attribution and engagement of the social brain in ASD. Objective: This fMRI study examines the extent of anthropomorphism, its role in social attribution, and the underlying neural responses in ASD and TD using a series of human stick figures and geometrical shapes. Methods: 14 ASD and 14 TD adults watched videos of stick figures and triangles interacting in random or socially meaningful ways while in an fMRI scanner. In addition, they completed out-of-scanner measures of ToM skill and real-world social deficits. Whole brain statistical analysis was performed for regression and within and between group comparisons of all conditions using SPM12’s implementation of the general linear model. Results: ToM network regions were activated in response to social movement and human-like characters in ASD and TD. In addition, greater ToM ability was associated with increased TPJ and MPFC activity while watching stick figures; whereas more severe social symptoms were associated with reduced right TPJ activation in response to social movement. Conclusion: These results suggest that degree of anthropomorphism does not differentially affect social attribution in ASD and highlights the importance of TPJ in ToM and social attribution.
Rheology of Emulsion-Filled Gels Applied to the Development of Food Materials

Emulsion-filled gels are classified as soft solid materials and are complex colloids formed by matrices of polymeric gels into which emulsion droplets are incorporated. Several structural aspects of these gels have been studied in the past few years, including their applications in food, which is the focus of this review. Knowledge of the rheological behavior of emulsion-filled gels is extremely important because it can measure interferences promoted by droplets or particle inclusion on the textural properties of the gelled systems. Dynamic oscillatory tests, more specifically, small amplitude oscillatory shear, creep-recovery tests, and large deformation experiments, are discussed in this review as techniques present in the literature to characterize rheological behavior of emulsion-filled gels. Moreover, the correlation of mechanical properties with sensory aspects of emulsion-filled gels appearing in recent studies is discussed, demonstrating the applicability of these parameters in understanding mastication processes.
Parallel Activin and BMP signaling coordinates R7/R8 photoreceptor subtype pairing in the stochastic Drosophila retina

Drosophila color vision is achieved by comparing outputs from two types of color-sensitive photoreceptors, R7 and R8. Ommatidia (unit eyes) are classified into two subtypes, known as ‘pale’ or ‘yellow’, depending on Rhodopsin expression in R7 and R8. Subtype specification is controlled by a stochastic decision in R7 and instructed to the underlying R8. We find that the Activin receptor Baboon is required in R8 to receive non-redundant signaling from the three Activin ligands, activating the transcription factor dSmad2. Concomitantly, two BMP ligands activate their receptor, Thickveins, and the transcriptional effector, Mad. The Amon TGFβ processing factor appears to regulate components of the TGFβ pathway specifically in pale R7. Mad and dSmad2 cooperate to modulate the Hippo pathway kinase Warts and the growth regulator Melted; two opposing factors of a bi-stable loop regulating R8 Rhodopsin expression. Therefore, TGFβ and growth pathways interact in postmitotic cells to precisely coordinate cell-specific output.
UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL FACULDADE DE FARMÁCIA PROGRAMA DE PÓS-GRADUAÇÃO EM CIÊNCIAS FARMACÊUTICAS Desenvolvimento de comprimidos de clozapina obtidos pelo método de compressão direta

xxv 1. INTRODUCAO 1 2. OBJETIVOS 5 2.1. Objetivo geral 7 2.2. Objetivos especificos 7 3. REFERENCIAL TEORICO 9 3.1. Obtencao de comprimidos por compressao direta 11 3.2. Clozapina 23 3.2.1 Estudos cientificos 26 4. MATERIAIS E METODOS 29 4.1. Materiais 31 4.1.1 Materias – primas 31 4.1.2 Reagentes, solucoes, substâncias de referencia 31 4.1. 3 Equipamentos 31 4.2 Metodos 32 4.2.1 Caracterizacao da clozapina 32 4.2.1.1 Perda por dessecacao 32 4.2.1.2 Analise granulometrica 32
Variations in GPs' decisions to investigate suspected lung cancer: a factorial experiment using multimedia vignettes

Introduction Lung cancer survival is low and comparatively poor in the UK. Patients with symptoms suggestive of lung cancer commonly consult primary care, but it is unclear how general practitioners (GPs) distinguish which patients require further investigation. This study examined how patients' clinical and sociodemographic characteristics influence GPs' decisions to initiate lung cancer investigations. Methods A factorial experiment was conducted among a national sample of 227 English GPs using vignettes presented as simulated consultations. A multimedia-interactive website simulated key features of consultations using actors (‘patients’). GP participants made management decisions online for six ‘patients’, whose sociodemographic characteristics systematically varied across three levels of cancer risk. In low-risk vignettes, investigation (ie, chest X-ray ordered, computerised tomography scan or respiratory consultant referral) was not indicated; in medium-risk vignettes, investigation could be appropriate; in high-risk vignettes, investigation was definitely indicated. Each ‘patient’ had two lung cancer-related symptoms: one volunteered and another elicited if GPs asked. Variations in investigation likelihood were examined using multilevel logistic regression. Results GPs decided to investigate lung cancer in 74% (1000/1348) of vignettes. Investigation likelihood did not increase with cancer risk. Investigations were more likely when GPs requested information on symptoms that ‘patients’ had but did not volunteer (adjusted OR (AOR)=3.18; 95% CI 2.27 to 4.70). However, GPs omitted to seek this information in 42% (570/1348) of cases. GPs were less likely to investigate older than younger ‘patients’ (AOR=0.52; 95% CI 0.39 to 0.7) and black ‘patients’ than white (AOR=0.68; 95% CI 0.48 to 0.95). Conclusions GPs were not more likely to investigate ‘patients’ with high-risk than low-risk cancer symptoms. Furthermore, they did not investigate everyone with the same symptoms equally. Insufficient data gathering could be responsible for missed opportunities in diagnosis.
Embryonic responses to variation in oviductal oxygen in the lizard Sceloporus undulatus from New Jersey and South Carolina, USA

Viviparity in reptiles is hypothesized to evolve in cold climates at high latitudes and high elevations through selection for progressively longer periods of egg retention. Oxygen consumption of embryos increases during development and therefore longer periods of egg retention should be associated with maternal or embryonic features that enhance embryonic oxygen availability. We tested the hypotheses that embryos of the oviparous lizard Sceloporus undulatus from a high-latitude population in New Jersey are oviposited at more advanced developmental stages and have a higher growth rate at low oxygen partial pressures (pO2) than embryos from a low-latitude population in South Carolina. These hypotheses were rejected; embryos from the two populations did not differ in embryonic stage at oviposition, survival, rate of differentiation or growth in mass when incubated under simulated in utero conditions at low oxygen concentrations. We also estimated the effective pO2 experienced by lizard embryos in utero. At an effective pO2 of 8.6 kPa (9% O2), development of S. undulatus embryos is arrested at Dufaure and Hubert stage 30 and at a dry mass of 0.8 mg. Physiological and morphological features of gravid females, embryos, or both, that facilitate oxygen uptake for developing embryos appear to be a critical early step during the evolution of reptilian viviparity. © 2004 The Linnean Society of London, Biological Journal of the Linnean Society, 2004, 83, 289–299.
Coseismic Slip Distribution of the 2001 Kokoxili , Northern Tibet , Earthquake , Constrained by GPS and Geological Field Survey Data

We analyze GPS data observed before and after the 2001 Mw 7.8 Kokoxili earthquake in northern Tibet to derive the coseismic deformation field of that earthquake. Using this coseismic displacement data set and geologically mapped surface break measurements, we invert for the coseismic slip distribution along the seismogenic East Kunlun fault. Our result shows that the earthquake on average ruptured from surface down to a depth of ~16.5 km (13.1~18.7 km at 70% confidence). The average slip is ~2.6 m left-lateral, with the maximum slip of ~5 m along the Kusai Lake segment of the fault. There is 2~3 m left-slip detected in a gap of measured surface rupture between the westernmost Sun Lake segment and the west end of the main rupture on the East Kunlun fault. We also determine 1.5~2.0 m left-slip along a segment beyond the east end of geologically mapped surface rupture. Vertical slip is insignificant (<< 1 m) along most part of the fault, it nevertheless shows a pattern of south side up west of and north side up east of 93E longitude respectively. The seismic moment release is estimated ~6.0×10 N.m, in good agreement with the seismological estimates.
Probing Physics Knowledge Using Tools from Developmental Psychology

In order to build agents with a rich understanding of their environment, one key objective is to endow them with a grasp of intuitive physics; an ability to reason about three-dimensional objects, their dynamic interactions, and responses to forces. While some work on this problem has taken the approach of building in components such as ready-made physics engines, other research aims to extract general physical concepts directly from sensory data. In the latter case, one challenge that arises is evaluating the learning system. Research on intuitive physics knowledge in children has long employed a violation of expectations (VOE) method to assess children's mastery of specific physical concepts. We take the novel step of applying this method to artificial learning systems. In addition to introducing the VOE technique, we describe a set of probe datasets inspired by classic test stimuli from developmental psychology. We test a baseline deep learning system on this battery, as well as on a physics learning dataset ("IntPhys") recently posed by another research group. Our results show how the VOE technique may provide a useful tool for tracking physics knowledge in future research.
Association Between History of Multiple Concussions and Health Outcomes Among Former College Football Players: 15-Year Follow-up From the NCAA Concussion Study (1999-2001)

Background: Previous research has examined associations between concussion history and adverse health outcomes among former professional football players. Less is known about the potential effects of concussion among former college football players without additional exposure at the professional level. Purpose: To examine the association between concussion and adverse health outcomes in a cohort of former college football players without exposure to professional football, 15 years after their playing careers ended. Study Design: Cross-sectional study; Level of evidence, 3. Methods: A sample of 204 former collegiate football players (23.4% of eligible athletes with available contact information)—all of whom played at least 1 season of football from 1999 to 2001 in the National Collegiate Athletic Association (NCAA) and had no professional football exposure—completed a general health survey that assessed lifetime concussion history and included the following: the Veterans RAND 36 Item Health Survey, containing a physical composite score (PCS) and mental composite score (MCS); the depression module of the Patient Health Questionnaire; and the 4-item CAGE alcohol dependence questionnaire (for “cutting down, annoyance by criticism, guilty feeling, and eye-openers”). Multivariable binomial regression models estimated adjusted prevalence ratios (PRs) with 95% CIs while controlling for demographics and playing history covariates through forward selection model building. Results: Most participants reported a concussion history (84.3%). Overall, 22.1% and 39.2% of participants reported a PCS and an MCS <50, respectively (indicating worse health than the US national average); 19.1% reported Patient Health Questionnaire scores ≥10 (indicating moderate/severe depression); and 24.8% reported CAGE scores ≥2 (indicating alcohol dependence). The prevalence of having an MCS <50 was higher among those reporting ≥3 versus 0 concussions (PR, 2.5; 95% CI, 1.3-4.9). Controlling for body mass index (BMI), the prevalence of moderate/severe depression was higher among those reporting ≥3 versus 0 concussions (PR, 4.2; 95% CI, 1.0-16.3). Controlling for BMI, the prevalence of having a PCS <50 was higher among those reporting ≥3 versus 1 or 2 concussions (PR, 2.6; 95% CI, 1.3-5.0) but not 0 concussions (PR, 1.5; 95% CI, 0.6-3.6). No associations were found for alcohol dependence. Conclusion: Associations between a history of multiple concussions and adverse health outcomes were found among former collegiate football players without professional football exposure but were limited to those reporting ≥3 prior concussions. Because only 23.4% of eligible athletes responded to the survey, the possibility of ascertainment bias exists, and our findings should thus be interpreted with some caution. Continued examination within nonprofessional football populations is needed, but findings highlight the need for prevention efforts to reduce concussion incidence.
Frequency Domain Spectroscopy in Rare-Earth-Doped Gain Media

Many spectroscopic techniques today rely on time-resolved measurements under short excitation pulses. Instead of using a chopped pump excitation, or ultrafast optical pulses, we expand on and apply the previously developed set of frequency domain methods to analyze the population level dynamics in rare-earth-doped media. By identifying the full frequency response of the gain medium, this method can accurately yield excited state lifetimes and can also be used to estimate transition cross-sections. The accuracy of the frequency domain methods are verified with <inline-formula><tex-math notation="LaTeX">${\rm Er}^{3+}$</tex-math></inline-formula>- and <inline-formula> <tex-math notation="LaTeX">${\rm Tm}^{3+}$</tex-math></inline-formula>-doped fibers, and an <inline-formula> <tex-math notation="LaTeX">${\rm Al}_{2}{\rm O}_{3}{:}{\rm Tm}^{3+}{}$</tex-math></inline-formula> waveguide, recovering similar results as reported by time-resolved techniques. The complete frequency domain model presented here can be used in characterization of novel optical gain media, and can provide insights into population dynamics in solid state amplifiers and lasers.
Power allocation for cognitive radio with hybrid energy supplies

In this paper, we investigate the power allocation problem for a point-to-point cognitive radio (CR) with the secondary user (SU) powered by both the renewable energy and the conventional energy. In particular, the transmission of the SU is assumed to be divided into time slots, and a transmission outage constraint is proposed to provide a satisfactory quality of service (QoS) to the SU by restricting the number of slots whose rate is lower than the target rate. Meanwhile, an interference outage constraint is proposed to guarantee the QoS of the primary user (PU) by restricting the number of slots whose interference power is higher than the predefined interference power threshold. Under the proposed transmission outage and interference outage constraints together with the energy causality constraint, the power allocation problem to minimize the total conventional energy consumption of the SU is investigated and a heuristic scheme is proposed. We show that the proposed power allocation scheme greatly outperforms the reference random scheme. We also show that relaxing the transmission outage constraint is more effective in reducing the conventional energy consumption of the SU than relaxing the interference outage constraint.
Generating a Mapping Function from One Expression to Another Using a Statistical Model of Facial Texture

We demonstrate a novel method of generating a mapping function which takes an image of a neutral face to an image of the same subject depicting an alternative expression. It is proposed that this mapping function can be used to automatically generate facial expressions from still images of never seen before faces. This technique draws on the work of Ekman's [8] Facial Action Coding System (FACS), which provides an anatomical basis for measuring facial movement. We use the FACS to generate a Facial Expression Texture Model (FETM), which is used in conjunction with several Artificial Neural Networks (ANN) to develop a mapping function. We describe this method in detail and provide results which demonstrate the effectiveness of this technique.
Learning-based traffic signal control algorithms with neighborhood information sharing: An application for sustainable mobility

ABSTRACT This research applies R-Markov Average Reward Technique based reinforcement learning (RL) algorithm, namely RMART, for vehicular signal control problem leveraging information sharing among signal controllers in connected vehicle environment. We implemented the algorithm in a network of 18 signalized intersections and compare the performance of RMART with fixed, adaptive, and variants of the RL schemes. Results show significant improvement in system performance for RMART algorithm with information sharing over both traditional fixed signal timing plans and real time adaptive control schemes. The comparison with reinforcement learning algorithms including Q learning and SARSA indicate that RMART performs better at higher congestion levels. Further, a multi-reward structure is proposed that dynamically adjusts the reward function with varying congestion states at the intersection. Finally, the results from test networks show significant reduction in emissions (CO, CO2, NOx, VOC, PM10) when RL algorithms are implemented compared to fixed signal timings and adaptive schemes.
Arsenic Uptake, Toxicity, Detoxification, and Speciation in Plants: Physiological, Biochemical, and Molecular Aspects

Environmental contamination with arsenic (As) is a global environmental, agricultural and health issue due to the highly toxic and carcinogenic nature of As. Exposure of plants to As, even at very low concentration, can cause many morphological, physiological, and biochemical changes. The recent research on As in the soil-plant system indicates that As toxicity to plants varies with its speciation in plants (e.g., arsenite, As(III); arsenate, As(V)), with the type of plant species, and with other soil factors controlling As accumulation in plants. Various plant species have different mechanisms of As(III) or As(V) uptake, toxicity, and detoxification. This review briefly describes the sources and global extent of As contamination and As speciation in soil. We discuss different mechanisms responsible for As(III) and As(V) uptake, toxicity, and detoxification in plants, at physiological, biochemical, and molecular levels. This review highlights the importance of the As-induced generation of reactive oxygen species (ROS), as well as their damaging impacts on plants at biochemical, genetic, and molecular levels. The role of different enzymatic (superoxide dismutase, catalase, glutathione reductase, and ascorbate peroxidase) and non-enzymatic (salicylic acid, proline, phytochelatins, glutathione, nitric oxide, and phosphorous) substances under As(III/V) stress have been delineated via conceptual models showing As translocation and toxicity pathways in plant species. Significantly, this review addresses the current, albeit partially understood, emerging aspects on (i) As-induced physiological, biochemical, and genotoxic mechanisms and responses in plants and (ii) the roles of different molecules in modulation of As-induced toxicities in plants. We also provide insight on some important research gaps that need to be filled to advance our scientific understanding in this area of research on As in soil-plant systems.