Miracle-dz/UniFAR-FTUs huggingface dataset:
Memory's reflection of learned information value increases across development.

Prioritizing memory for the information most likely to be useful in the future is critical to learning effectively in our complex world. Previous work has revealed that the ability to strategically encode high-value information may improve gradually over development, as the systems supporting cognitive control processes mature. However, studies of value-directed memory have relied on explicit cues that signal the importance of information, which are rarely present in real-world contexts. Here, we examined whether individuals across age groups could learn the relative frequency of items in their environment and prioritize memory for information associated with higher frequency items, which would ultimately enable them to earn more reward. We found that from childhood to early adulthood, individuals gained the ability to dynamically adjust memory based on the statistics of the environment (Experiment 1). In the absence of any relation between item frequency and the reward that could be earned for encoding related information, the increased exposure to higher frequency items did not facilitate associative memory (Experiment 2). Taken together, results from our two experiments suggest that the use of past experience to prioritize memory for high-value information strengthens with increasing age and is supported by the developing ability to derive explicit knowledge of the structure of the environment from experience. (PsycINFO Database Record (c) 2020 APA, all rights reserved).
Human cerebrovascular responses to diving are not related to facial cooling

What is the central question of this study? Does facial cooling‐mediated stimulation of cutaneous trigeminal afferents associated with the diving response increase cerebral blood flow or are factors associated with breath‐holding (e.g. arterial carbon dioxide accumulation, pressor response) more important in humans? What is the main finding and its importance? Physiological factors associated with breath‐holding such as arterial carbon dioxide accumulation and the pressor response, but not facial cooling (trigeminal nerve stimulation), make the predominant contribution to diving response‐mediated increases in cerebral blood flow in humans.
Additive Manufacturing for Self-Healing Soft Robots.

The field of self-healing soft robots was initiated a few years ago. A healing ability can be integrated in soft robots by manufacturing their soft membranes out of synthetic self-healing polymers, more specifically elastomeric Diels-Alder (DA) networks. As such they can recover completely from macroscopic damage, including scratches, cuts, and ruptures. Before this research, these robots were manufactured using a technique named "shaping-through-folding-and-self-healing. " This technique requires extensive manual labor, is relatively slow, and does not allow for complex shapes. In this article, an additive manufacturing methodology, fused filament fabrication, is developed for the thermoreversible DA polymers, and the approach is validated on a soft robotic gripper. The reversibility of their network permits manufacturing these flexible self-healing polymers through reactive printing into the complex shapes required in soft robotics. The degree of freedom in the design of soft robotics that this new manufacturing technique offers is illustrated through the construction of adaptive DHAS gripper fingers, based on the design by FESTO. Being constructed out of self-healing soft flexible polymer, the fingers can recover entirely from large cuts, tears, and punctures. This is highlighted through various damage-heal cycles.
Human Skeletal Muscle Mitochondrial Adaptations Following Resistance Exercise Training

Abstract It is universally accepted that resistance training promotes increases in muscle strength and hypertrophy in younger and older populations. Although less investigated, studies largely suggest resistance training results in lower skeletal muscle mitochondrial volume; a phenomenon which has been described as a “dilution of the mitochondrial volume” via resistance training. While this phenomenon is poorly understood, it is likely a result of muscle fiber hypertrophy outpacing mitochondrial biogenesis. Critically, there is no evidence to suggest resistance training promotes a net loss in mitochondria. Further, given the numerous reports suggesting resistance training does not decrease and may even increase VO2max in previously untrained individuals, it is plausible certain aspects of mitochondrial function may be enhanced with resistance training, and this area warrants further research consideration. Finally, there are emerging data suggesting resistance training may affect mitochondrial dynamics. The current review will provide an in-depth discussion of these topics and posit future research directions which can further our understanding of how resistance training may affect skeletal muscle mitochondrial physiology.
Ultrasound-Guided Stellate Ganglion Block for Central Post-Stroke Pain: A Case Report and Review

Background Central post-stroke pain (CPSP) is refractory to pharmacotherapy (eg, NSAIDs, opioids, antidepressants, and anticonvulsants), and may require transcranial or deep brain stimulation. Case Presentation A 67-year-old woman presented with severe paroxysmal cramp-like pain on the right side, including the head and both upper and lower extremities. The pain started 5 years earlier, was initially mild and occasional, but gradually intensified to an unbearable degree with an average of 10–15 daily episodes, each lasting for 5–10 mins. The patient disclosed “hemorrhagic stroke” 10 years ago that resulted in hemiplegia on the right side. CT examination verified the lesion. The patient received daily injection of 2-mL 2% lidocaine under ultrasound guidance to block the stellate ganglion. Pain subsided rapidly in both intensity and frequency. On the seventh day, the patient no longer had pain episodes. At the last follow-up, 9 months later, the patient was free from pain. Conclusion Ultrasound-guided stellate ganglion block is a viable alternative for CPSP that is refractory to pharmacotherapy.
Continuing professional development requirements for UK health professionals: a scoping review

Objectives This paper sets out to establish the numbers and titles of regulated healthcare professionals in the UK and uses a review of how continuing professional development (CPD) for health professionals is described internationally to characterise the postqualification training required of UK professions by their regulators. It compares these standards across the professions and considers them against the best practice evidence and current definitions of CPD. Design A scoping review. Search strategy We conducted a search of UK health and social care regulators’ websites to establish a list of regulated professional titles, obtain numbers of registrants and identify documents detailing CPD policy. We searched Applied Social Sciences Index and Abstracs (ASSIA), Cumulative Index to Nursing and Allied Health Literature (CINAHL), Medline, EMCare and Scopus Life Sciences, Health Sciences, Physical Sciences and Social Sciences & Humanities databases to identify a list of common features used to describe CPD systems internationally and these were used to organise the review of CPD requirements for each profession. Results CPD is now mandatory for the approximately 1.5 million individuals registered to work under 32 regulated titles in the UK. Eight of the nine regulators do not mandate modes of CPD and there is little requirement to conduct interprofessional CPD. Overall 81% of those registered are required to engage in some form of reflection on their learning but only 35% are required to use a personal development plan while 26% have no requirement to engage in peer-to-peer learning. Conclusions Our review highlights the wide variation in the required characteristics of CPD being undertaken by UK health professionals and raises the possibility that CPD schemes are not fully incorporating the best practice.
Transcriptome analysis of the plant pathogen Sclerotinia sclerotiorum interaction with resistant and susceptible canola (Brassica napus) lines

Sclerotinia stem rot is an economically important disease of canola (Brassica napus) and is caused by the fungal pathogen Sclerotinia sclerotiorum. This study evaluated the differential gene expression patterns of S. sclerotiorum during disease development on two canola lines differing in susceptibility to this pathogen. Sequencing of the mRNA libraries derived from inoculated petioles and mycelium grown on liquid medium generated approximately 164 million Illumina reads, including 95 million 75-bp-single reads, and 69 million 50-bp-paired end reads. Overall, 36% of the quality filter-passed reads were mapped to the S. sclerotiorum reference genome. On the susceptible line, 1301 and 1214 S. sclerotiorum genes were differentially expressed at early (8–16 hours post inoculation (hpi)) and late (24–48 hpi) infection stages, respectively, while on the resistant line, 1311 and 1335 genes were differentially expressed at these stages, respectively. Gene ontology (GO) categories associated with cell wall degradation, detoxification of host metabolites, peroxisome related activities like fatty acid ß-oxidation, glyoxylate cycle, oxidoreductase activity were significantly enriched in the up-regulated gene sets on both susceptible and resistant lines. Quantitative RT-PCR of six selected DEGs further validated the RNA-seq differential gene expression analysis. The regulation of effector genes involved in host defense suppression or evasion during the early infection stage, and the expression of effectors involved in host cell death in the late stage of infection provide supporting evidence for a two-phase infection model involving a brief biotrophic phase during early stages of infection. The findings from this study emphasize the role of peroxisome related pathways along with cell wall degradation and detoxification of host metabolites as the key mechanisms underlying pathogenesis of S. sclerotiorum on B. napus.
Association between the serum concentrations of 12 cytokines and growth factors and metabolic syndrome in patients undergoing angiography.

We aimed to compare the concentrations of serum cytokines in patients undergoing coronary angiography and finding their possible associations with metabolic syndrome. Twelve serum cytokines and growth factors (IL-1α, IL-1β, IL-2, IL-4, IL-6, IL-8, IL-10, TNF-α, MCP-1, IFN-γ, EGF, and VEGF) were measured by sandwich chemiluminescence assays, on the Evidence Investigator® system. There were significant differences regarding sex, height, weight, BMI, WC, HC, FPG, TG and HDL-C between those with and without MetS in patients undergoing angiography (p < .05). Serum concentrations of IL-6 and INF-γ were significantly higher in subjects with MetS, compared to those without MetS (p = .031 and p = .035, respectively). However, only serum IL-6 was associated with the presence of MetS (β = 1.215, CI = 1.047-1.409, p = .010). From several serum cytokines and growth factors assessed in patients, IL-6 was the only serum cytokine that was significantly different between those with and without MetS after correction for confounding factors.
Intergenerational effects of mother's early rearing experience on offspring treatment and socioemotional development.

This longitudinal study spans two generations of rhesus monkeys. First, the study investigates the effects of early rearing experiences on the maternal behavior of first-generation mothers (rates of premature infant rejection) and, second, the study investigates the effects of maternal rejection on the behavior of second-generation infants. Rhesus macaque mother-infant dyads (Macaca mulatta-N = 176) were observed twice weekly, with each session lasting 300 s. First-generation mothers were raised in one of three conditions: as mother-reared controls (MR; [n = 95]), in peer groups (PR; raised without adults but with constant access to three same-aged peers [n = 49]), or with an inanimate surrogate (SPR; raised with an inanimate fleece-covered, surrogate mother and limited daily peer-group interactions [n = 32]). Second-generation infants were all raised by their differentially reared mothers and statistically grouped into one of two groups: those that were rejected by their mothers beginning at a more-typical weaning age (controls), starting in the third month of life (n = 108), and those that were prematurely rejected, with mothers showing rejections before the third month of infant life (n = 68). Overall, PR mothers exhibited the highest rates of premature infant rejection, except for month 1 of infant life, when SPR mothers exhibited the highest rates of rejection. Intriguingly, after month 1, SPR mothers showed high rates of infant cradling and seldom rejected their infants. Independent of their mothers' early rearing environment, prematurely rejected infants displayed more aggression and passive vigilance, and were cradled and groomed less by their mothers, and there was evidence that the overall rates of rejection after the first 2 months of life had a cumulative negative effect on the developing infant. Post hoc analyses of plasma cortisol levels showed that the prematurely rejected infants had higher cortisol concentrations, suggesting a high level of stress in the prematurely rejected infants. These results suggest that maternal presence during infancy has long-term effects on a female's future maternal skills which, in turn, have intergenerational consequences for the socioemotional development of second-generation infants.
Expressive suppression in psychosis: The association with social context

As emotion regulation deficits have been implicated in psychotic disorders, it is imperative to investigate not only the effect of regulation strategies but also how they are used. One such strategy is expressive suppression, the inhibition of emotion-expressive behavior, which may be influenced by social context. Therefore, this study aimed to investigate whether the use of expressive suppression was associated with social context and affect in daily life and if this differed between patients with psychosis and controls. Multilevel models using experience sampling method (ESM) data of 34 patients with psychotic disorders and 53 controls from the Genetic Risk and Outcome in Psychosis (GROUP) project were conducted. Expressive suppression and social context were assessed once a day for six days and daily affect was averaged per participant per day. Social context was significantly associated with the use of expressive suppression in daily life, so that the use of expressive suppression differed when in the presence of familiar versus non-familiar company when receiving negative feedback. This finding did not differ between patients and controls. This demonstrates that taking the situation into account when studying expressive suppression, and emotion regulation in general, may improve our understanding of how regulation takes place.
BESI: Behavioral and Environmental Sensing and Intervention for Dementia Caregiver Empowerment—Phases 1 and 2

Background and Objectives: Caregiver burden associated with dementia-related agitation is one of the commonest reasons a community-dwelling person with dementia (PWD) transitions to a care facility. Behavioral and Environmental Sensing and Intervention for Dementia Caregiver Empowerment (BESI) is a system of body-worn and in-home sensors developed to provide continuous, noninvasive agitation assessment and environmental context monitoring to detect early signs of agitation and its environmental triggers. Research Design and Methods: This mixed methods, remote ethnographic study is explored in a 3-phase, multiyear plan. In Phase 1, we developed and refined the BESI system and completed usability studies. Validation of the system and the development of dyad-specific models of the relationship between agitation and the environment occurred in Phase 2. Results: Phases 1 and 2 results facilitated targeted changes in BESI, thus improving its overall usability for the final phase of the study, when real-time notifications and interventions will be implemented. Conclusion: Our results show a valid relationship between the presence of dementia related agitation and environmental factors and that persons with dementia and their caregivers prefer a home-based monitoring system like BESI.
Digging deeper into volatile organic compounds associated with cancer

Abstract Volatile organic compounds (VOCs), produced and emitted through the metabolism of cancer cells or the body’s immune system, are considered novel cancer biomarkers for diagnostic purposes. Of late, a large number of work has been done to find a relationship between VOCs’ signature of body and cancer. Cancer-related VOCs can be used to detect several types of cancers at the earlier stages which in turn provide a significantly higher chance of survival. Here we aim to provide an updated picture of cancer-related VOCs based on recent findings in this field focusing on cancer odor database.
Analysis of crash injury severity on two trans-European transport network corridors in Spain using discrete-choice models and random forests

Abstract Objective: The objective of this paper is to identify the list of crash severity contributing factors and evaluate their impact on multiple-vehicle crashes on two high use Trans-European interurban, freight corridors in Spain (southern Europe): Madrid - Irùn and Barcelona – Almerìa. Methods: We have used both logistic regression and random forests to identify crash severity predictors and estimate their impacts on crash outcomes. Although both statistical methods can provide useful information to help explain the safety implications of highway crashes, using both methods may further enable a more comprehensive understanding of this phenomenon. For this effort, we disaggregated the crash data into different crash types (i.e., head-on, angle, sideswipe and rear-end) and analyzed this data using roadway design elements, driver characteristics, and environmental factors. To identify the most important predictors of crash severity, we used the random forests data mining approach. We then used ordered logit models to estimate the effect of external factors on the severity of each crash type. Finally, we assessed the accuracy of the model estimates using bootstrap sampling. Results: The results of data mining analyses indicated that roadway design factors such as horizontal and vertical curvature, super elevation, and lane and shoulder width are among the most important factors associated with crash severity. The results of logistic regression show that the impact of the selected roadway element on the crash outcome is conditional on the crash type and the direction of the effects is not always consistent. Conclusions: The contribution of this paper to the existing literature is two-fold: the first important contribution of the paper is related to the safety analysis of two of the most important freight corridors in Spain and southern Europe. The second contribution of this paper is to address the existing gap in the literature relating to the comparison and compatibility of data mining and the logistic regression model.
Few-shot learning with deformable convolution for multi-scale lesion detection in mammography.

PURPOSE Image-based breast lesion detection is a powerful clinical diagnosis technology. In recent years, deep learning architectures have achieved considerable success in medical image analysis, however, they always require large-scale samples. In mammography images, breast lesions are inconspicuous, multi-scale, and have blurred edges. Moreover, few well-labeled images exist. Because of these factors, the detection accuracy of conventional deep learning methods is low. Therefore, we attempted to improve the accuracy of mammary lesion detection by introducing transfer learning into a deep learning framework for the few-shot learning task and thus provide a method that will further assist physicians in detecting breast lesions. METHODS In this paper, we propose a method called \few-shot learning with deformable convolution for multi-scale lesion detection in mammography," named FDM-Net. Deformable convolution is introduced for enhancing the network's ability to detect lesions, and the sensitivity of the multi-scale feature space is reinforced by using a feature pyramid method. Furthermore, by introducing location information in the predictor, the sensitivity of the model to lesion location is also enhanced. The proposed method, through the transfer learning technique that is applied mines the potentially common knowledge of features in the source domain and transfers it into the target domain to improve the accuracy of breast lesion detection in the few-shot learning task. RESULTS On the publicly available datasets CBIS-DDSM and Mini-MIAS, the proposed method performs better than five widely used detection methods. On the CBIS-DDSM dataset, its comprehensive scores, sensitivity, precision, and the mean dice Similarity coefficient are 0.911, 0.949, 0.873, and 0.913, respectively, and on the Mini-MIAS dataset, these values are 0.931, 0.966, 0.882, and 0.941, respectively. CONCLUSIONS To achieve the few-shot learning required for medical image analysis, the proposed method uses transfer learning to execute feature knowledge transformation and includes deformable convolution to build a feature pyramid structure, which enhances the learning performance of the network for lesions. The results of comparative numerical experiments show that the proposed method outperforms some state-of-the-art methods.
Convcast: An embedded convolutional LSTM based architecture for precipitation nowcasting using satellite data

Nowcasting of precipitation is a difficult spatiotemporal task because of the non-uniform characterization of meteorological structures over time. Recently, convolutional LSTM has been shown to be successful in solving various complex spatiotemporal based problems. In this research, we propose a novel precipitation nowcasting architecture ‘Convcast’ to predict various short-term precipitation events using satellite data. We train Convcast with ten consecutive NASA’s IMERG precipitation data sets each at intervals of 30 minutes. We use the trained neural network model to predict the eleventh precipitation data of the corresponding ten precipitation sequence. Subsequently, the predicted precipitation data are used iteratively for precipitation nowcasting of up to 150 minutes lead time. Convcast achieves an overall accuracy of 0.93 with an RMSE of 0.805 mm/h for 30 minutes lead time, and an overall accuracy of 0.87 with an RMSE of 1.389 mm/h for 150 minutes lead time. Experiments on the test dataset demonstrate that Convcast consistently outperforms other state-of-the-art optical flow based nowcasting algorithms. Results from this research can be used for nowcasting of weather events from satellite data as well as for future on-board processing of precipitation data.
TECHNICAL FACTORS AND USING OF COMPUTERIZED PHYSICIAN ORDER ENTRIES (CPOE) IN HEALTHCARE ORGANIZATIONS

Computerized Physician Order Entries (CPOE) is computer-based systems that share the common features of automating the medication ordering process and that ensure standardized, legible and complete orders. This paper describes the factors which are recognized to be affecting of using CPOE in healthcare organizations. The paper discusses also the general using of CPOE. In this paper describes challenges of using CPOE as Limited Ability to Access External and Data Concerns Related to Workflow and Efficiency. Concludes of the paper and the future work are also presented.