Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Touch, Voice, and Multimodal Input, and Task Load on Multiple-UAV Monitoring Performance During Simulated Manned-Unmanned Teaming in a Military Helicopter

Objective: We evaluated three interface input methods for a simulated manned-unmanned teaming (MUM-T) supervisory control system designed for Air Mission Commanders (AMCs) in Black Hawk helicopters. Background: A key component of the U.S. Army’s vision for unmanned aerial vehicles (UAVs) is to integrate UAVs into manned missions, called MUM-T (Department of Defense, 2010). One application of MUM-T is to provide the AMC of a team of Black Hawk helicopters control of multiple UAVs, offering advanced reconnaissance and real-time intelligence of flight routes and landing zones. Method: Participants supervised a (simulated) team of two helicopters and three UAVs while traveling toward a landing zone to deploy ground troops. Participants classified aerial photographs collected by UAVs, monitored instrument warnings, and responded to radio communications. We manipulated interface input modality (touch, voice, multimodal) and task load (number of photographs). Results: Compared with voice, touch and multimodal control resulted in better performance on all tasks and resulted in lower subjective workload and greater subjective situation awareness, ps < . 05. Participants with higher spatial ability classified more aerial photographs (r = .75) and exhibited shorter response times to instrument warnings (r = −.58) than participants with lower spatial ability. Conclusion: Touchscreen and multimodal control were superior to voice control in a supervisory control task that involved monitoring visual displays and communicating on radio channels. Application: Although voice control is often considered a more natural and less physically demanding input method, caution is needed when designing visual displays for users sharing common communication channels.
The role of ablative treatment in differentiated thyroid cancer management

ABSTRACT Introduction: The role of ablative treatment in differentiated thyroid cancer management has been evolving over the years. After its introduction in clinical practice, the use of postsurgical radioiodine treatment was generalized to almost every patient with differentiated thyroid cancer, with the exception of unifocal microcarcinomas. However, in the last decade several studies questioned its benefit in low- and intermediate-risk patients. Areas covered: In this review we discuss the role of postsurgical radioiodine treatment at the present time. Expert commentary: Although there is general consensus about the recommendation for very low-risk (microcarcinomas) and high-risk patients – no indication for routine postoperative radioiodine and clear indication for radioiodine treatment, respectively, the recommendation for low- and intermediate-risk patients is still under debate. The most recent guidelines from the American Thyroid Association make a statement against routine postoperative radioiodine in both low- and intermediate-risk cases, recommending an individualized approach that takes into consideration the risk of disease persistence or recurrence after surgery. We consider that these recommendations are in accordance with the best evidence available today, and we would like to emphasize that radioiodine is generally favored for most intermediate-risk patients, especially in the presence of extensive lymph node disease or older age.
Cholesterol sulfate is a DOCK2 inhibitor that mediates tissue-specific immune evasion in the eye

A modified form of cholesterol protects the eye from immune cell invasion by inhibiting the Rac-specific GEF DOCK2. Evading the immune system with a lipid Some tissues, such as the eye, locally suppress immune cells or limit their ability to infiltrate the tissue. Sakurai et al. found that cholesterol sulfate (CS) inhibited the guanine nucleotide exchange factor DOCK2 and thus suppressed the migration of neutrophils and T cells in vitro. In mice, CS was produced by the gland that secretes the lipids that form the outer layer of the tear film covering the eye. Mice lacking the major sulfotransferase that produces CS from cholesterol exhibited increased infiltration of immune cells into the conjunctiva and the cornea in different in vivo models of ocular surface inflammation, which was reversed by topical application of CS. Identifying a role for CS in endogenous immunosuppression suggests that it or other bioactive lipids may play a role in other tissues that evade immune surveillance, such as tumors. Although immune responses are essential to protect the body from infection, they can also harm tissues. Certain tissues and organs, including the eye, constitute specialized microenvironments that locally inhibit immune reactivity. Dedicator of cytokinesis protein 2 (DOCK2) is a Rac-specific guanine nucleotide exchange factor (GEF) that is predominantly found in hematopoietic cells. DOCK2 plays a key role in immune surveillance because it is essential for the activation and migration of leukocytes. DOCK2 mutations cause severe immunodeficiency in humans. We found that DOCK2-mediated Rac activation and leukocyte migration were effectively inhibited by cholesterol sulfate (CS), but not by cholesterol or other sulfated steroids. CS bound to the catalytic domain of DOCK2 and suppressed its GEF activity. Mass spectrometric quantification revealed that CS was most abundantly produced in the Harderian gland, which provides the lipids that form the oily layer of the tear film. Sulfation of cholesterol is mediated by the sulfotransferases SULT2B1b and, to a lesser extent, SULT2B1a, which are produced from the same gene through alternative splicing. By genetically inactivating Sult2b1, we showed that the lack of CS in mice augmented ultraviolet- and antigen-induced ocular surface inflammation, which was suppressed by administration of eye drops containing CS. Thus, CS is a naturally occurring DOCK2 inhibitor and contributes to the generation of the immunosuppressive microenvironment in the eye.
Meta‐analysis of the incidence of lead dislodgement with conventional and leadless pacemaker systems

Leadless cardiac pacemaker (LCP) implantation using a transcatheter was recently developed to avoid pocket‐ and lead‐related complications. Although a LCP has an active fixation mechanism using tines or a helix, LCP and lead dislodgement issues remain a major safety concern for patients. This article reviews the literature to determine the incidence of lead and LCP dislodgement.
Deep Cross Modal Learning for Caricature Verification and Identification (CaVINet)

Learning from different modalities is a challenging task. In this paper, we look at the challenging problem of cross modal face verification and recognition between caricature and visual image modalities. Caricature have exaggerations of facial features of a person. Due to the significant variations in the caricatures, building vision models for recognizing and verifying data from this modality is an extremely challenging task. Visual images with significantly lesser amount of distortions can act as a bridge for the analysis of caricature modality. We introduce a publicly available large Caricature-VIsual dataset [CaVI] with images from both the modalities that captures the rich variations in the caricature of an identity. This paper presents the first cross modal architecture that handles extreme distortions of caricatures using a deep learning network that learns similar representations across the modalities. We use two convolutional networks along with transformations that are subjected to orthogonality constraints to capture the shared and modality specific representations. In contrast to prior research, our approach neither depends on manually extracted facial landmarks for learning the representations, nor on the identities of the person for performing verification. The learned shared representation achieves 91% accuracy for verifying unseen images and 75% accuracy on unseen identities. Further, recognizing the identity in the image by knowledge transfer using a combination of shared and modality specific representations, resulted in an unprecedented performance of 85% rank-1 accuracy for caricatures and 95% rank-1 accuracy for visual images.
The General Explanation Method with NMR Spectroscopy Enables the Identification of Metabolite Profiles Specific for Normal and Tumor Cell Lines

Machine learning models in metabolomics, despite their great prediction accuracy, are still not widely adopted owing to the lack of an efficient explanation for their predictions. In this study, we propose the use of the general explanation method to explain the predictions of a machine learning model to gain detailed insight into metabolic differences between biological systems. The method was tested on a dataset of 1H NMR spectra acquired on normal lung and mesothelial cell lines and their tumor counterparts. Initially, the random forests and artificial neural network models were applied to the dataset, and excellent prediction accuracy was achieved. The predictions of the models were explained with the general explanation method, which enabled identification of discriminating metabolic concentration differences between individual cell lines and enabled the construction of their specific metabolic concentration profiles. This intuitive and robust method holds great promise for in‐depth understanding of the mechanisms that underline phenotypes as well as for biomarker discovery in complex diseases.
Palliative Care and Stroke: An Integrative Review of the Literature

Stroke survivors often experience life-altering functional and cognitive changes and burdensome symptoms. Palliative care could provide additional support to improve outcomes of stroke patients and their families. The purpose of this review was to describe how palliative care is conceptualized and implemented within stroke care. An integrative review of the literature published between 1990 and 2016 using the terms “palliative care,” “stroke,” or “acute stroke” was conducted. Of the 363 articles identified, 44 were screened, 21 met inclusion criteria, and 2 additional articles were identified through reference list review, resulting in a final sample of 23 articles. Palliative care was predominantly understood as end-of-life care and was most commonly offered in acute stages when patients were expected to die. Patients, families, and providers reported challenges surrounding decision making, uncertainty regarding transitions to palliative care, and needs related to communication and physical and psychosocial support. The quality of the research was moderate to good but was limited by retrospective designs, reliability of data collection procedures and tools, recall bias, and generalizability. This review highlights gaps in access to palliative care throughout the illness trajectory and underscores the need for study of models that integrate palliative care into stroke care.
Selective sensing of nitric oxide by a 9,10-phenanthroquinone–pyridoxal based fluorophore

In this article, we have designed and synthesized a new, convenient and efficient phenanthroquinone–pyridoxal based fluorogenic probe PQPY , highly suitable for the selective and sensitive detection of nitric oxide in an aerated aqueous (7: 3/H_2O: MeCN) medium at pH 7.0 (10 mM HEPES buffer). Upon addition of nitric oxide, this probe exhibits emission in the green region ( λ _em = 505 nm) which is ascribed to ICT (intramolecular charge transfer) from the phenanthroquinone moiety to the imidazole–N–N=O fragment. The apparent formation constant, K _f, of the NO product of the ligand is (1.00 ± 0.2) × 10^5 M^−1 and the LOD is 78 nM. The substantial enhancement of the life-time of the ligand ( τ _0 = 2.68 ns) occurs due to binding with nitric oxide ( τ _0 = 3.96 ns). This probe is low cytotoxicity, cell permeable and suitable for living cell imaging application.
Canonical Wnt signaling regulates patterning, differentiation and nucleogenesis in mouse hypothalamus and prethalamus

The hypothalamus is a small, but anatomically and functionally complex, region of the brain whose development is poorly understood. In this study, we have explored its development by studying the canonical Wntsignalling pathway, generating gain and loss of function mutations of betacaten in(Ctnnb1) in both hypothalamic and prethalamic neuroepithelium. Deletion of Ctnnb1 resulted in an anteriorized and hypoplastic hypothalamus. Posterior structures were lost or reduced, and anterior structures were expanded. In contrast, over expression of a constitutively active mutant form of Ctnnb1 resulted in severe hyperplasia of prethalamus and hypothalamus, and expanded expression of a subset of posterior and premamillary hypothalamic markers. Moderate defects in differentiation of Arx-positive GABAergic neural precursors were observed in both prethalamus and hypothalamus of Ctnnb1 loss of function mutants, while in gain of function mutants, their differentiation was completely suppressed, although markers of prethalamic progenitors were preserved. Multiple other region-specific markers, including several specific posterior hypothalamic structures, were also suppressed in Ctnnb1 gain of function mutations. Severe, region-specific defects in hypothalamic nucleogenesis were also observed in both gain and loss of function mutations of Ctnnb1. Finally, both gain and loss of function of Ctnnb1 also produced severe, cell nonautonomous disruptions of pituitary development. These findings demonstrate acentral and multifaceted role for canonical Wnt signalling in regulating growth, patterning, differentiation and nucleogenesis in multiple diencephalic regions. Highlights Canonical Wnt signalling regulates anteroposterior patterning in the hypothalamus. Canonical Wnt signalling regulates differentiation of GABAergic neurons in both prethalamus and hypothalamus. Canonical Wnt signalling regulates differentiation and nucleogenesis of multiple hypothalamic neuronal subtypes. Canonical Wnt signalling in hypothalamic neuroepithelium regulates pituitary morphogenesis and differentiation.
IGLOSS: iterative gapless local similarity search

Summary Searching for local sequence patterns is one of the basic tasks in bioinformatics. Sequence patterns might have structural, functional or some other relevance, and numerous methods have been developed to detect and analyze them. These methods often depend on the wealth of information already collected. The explosion in the number of newly available sequences calls for novel methods to explore local sequence similarity. We have developed a new method for iterative motif scanning that will look for ungapped sequence patterns similar to a submitted query. Using careful parameter estimation and an adaptation of a fast string-matching algorithm, the method performs significantly better in this context than the existing software. Availability The IGLOSS web server is available at http://compbioserv.math.hr/igloss/. Supplementary Information Supplementary data are available at Bioinformatics online.
Circadian control of ORE1 by PRR9 positively regulates leaf senescence in Arabidopsis

Significance The circadian clock is involved in aging in animals, where mutations in core clock genes accelerate aging. However, little is known about the relationship between aging and the circadian clock in plants. Using the well-studied process of leaf senescence in Arabidopsis, a higher plant, as a model for aging, we show that the circadian clock has a critical role in regulating the aging process in plants. Specifically, we show that PSEUDO-RESPONSE REGULATOR 9 (PRR9), a core clock component, positively regulates leaf senescence. ORESARA 1 (ORE1), an aging regulator, is controlled by PRR9 via direct transcriptional activation and indirectly by suppressing miR164, a posttranscriptional repressor of ORE1, thus forming a coherent feed-forward regulatory loop. The circadian clock coordinates the daily cyclic rhythm of numerous biological processes by regulating a large portion of the transcriptome. In animals, the circadian clock is involved in aging and senescence, and circadian disruption by mutations in clock genes frequently accelerates aging. Conversely, aging alters circadian rhythmicity, which causes age-associated physiological alterations. However, interactions between the circadian clock and aging have been rarely studied in plants. Here, we investigated potential roles for the circadian clock in the regulation of leaf senescence in plants. Members of the evening complex in Arabidopsis circadian clock, EARLY FLOWERING 3 (ELF3), EARLY FLOWERING 4 (ELF4), and LUX ARRHYTHMO (LUX), as well as the morning component PSEUDO-RESPONSE REGULATOR 9 (PRR9), affect both age-dependent and dark-induced leaf senescence. The circadian clock regulates the expression of several senescence-related transcription factors. In particular, PRR9 binds directly to the promoter of the positive aging regulator ORESARA1 (ORE1) gene to promote its expression. PRR9 also represses miR164, a posttranscriptional repressor of ORE1. Consistently, genetic analysis revealed that delayed leaf senescence of a prr9 mutant was rescued by ORE1 overexpression. Thus, PRR9, a core circadian component, is a key regulator of leaf senescence via positive regulation of ORE1 through a feed-forward pathway involving posttranscriptional regulation by miR164 and direct transcriptional regulation. Our results indicate that, in plants, the circadian clock and leaf senescence are intimately interwoven as are the clock and aging in animals.
Protective effect of physical activity on mortality in older adults with advanced chronic heart failure: A prospective observational study

Objectives The objective of this study was to evaluate the effect on mortality of self-reported physical activity evaluated by the physical activity scale for the elderly (PASE) in elderly patients with advanced heart failure enrolled in a cardiac rehabilitation unit after heart failure decompensation (NYHA class IIIB). Methods The study prospectively enrolled 314 elderly patients (≥65 years) with heart failure in NYHA class IIIB (symptomatic with a recent history of dyspnoea at rest) consecutively admitted to cardiac rehabilitation between January 2010 and July 2011. Comprehensive geriatric assessment was performed. Physical activity was evaluated by PASE and stratified in tertiles (0–15, 16–75 and >75). Mortality was collected from September to October 2015 in 300 patients. Results The mean age was 74.5 ± 6.1 (range 65–89); 74.7% were men, 132 patients (44.0%) died during the follow-up (44.1 ± 20.7 months). Univariate analysis shows that physical activity level conducted before heart failure decompensation was inversely related to mortality (from 76.0% to 8.2%, P = 0.000). Multivariate analysis confirms that the PASE score predicts mortality independently of several demographic and clinical variables (hazard rate 0.987, 95% confidence interval (CI) 0.980–0.994, P = 0.000). Notably, when considering PASE 0–15 versus 16–75 score and PASE 0–15 versus > 75 score, the hazard rate is 4.06 (95% CI 1.67–9.84, P < 0.001) and 7.25 (95% CI 2.7–19.5, P < 0.001), respectively. Conclusions Physical activity level evaluated by the PASE score is inversely related to mortality in elderly patients with advanced heart failure confirming the reduction of mortality exerted by moderate physical activity in such patients.
Exact learning of description logic ontologies

We study the problem of learning Description Logic (DL) ontologies in Angluin et al.’s framework of exact learning via membership and equivalence queries posed to an oracle. Our quest is on investigating whether DL ontologies can be exactly learned in polynomial time or, at least, with polynomially many polynomial size queries to an oracle. We consider two instances of the problem: • in the first instance we admit entailment queries “is a given subsumption entailed by the unknown target DL ontology? ” and equivalence queries “is a given DL ontology equivalent to the target DL ontology? ”. Assuming that the vocabulary and DL L of the target ontology are known, we study polynomial learnability of ontologies in L; • in the second instance we admit membership queries of the form “is a tuple a of individuals a certain answer to a data retrieval query q in a given data set and the unknown target DL ontology? ” and equivalence queries of the form “is a given DL ontology equivalent to the target DL ontology? ”. Given the DL L, the data retrieval query language Q and the vocabulary of the target ontology, we study polynomial learnability of ontologies in L using data retrieval queries in Q. In both instances of the problem, we provide an almost complete classification for DLs that are fragments of ELH and of DL-Lite. Some results are proved by non-trivial reductions to the first instance of the problem, described above.
Biotelemetry marches on: A cost-effective GPS device for monitoring terrestrial wildlife

The availability of low-cost wildlife trackers increases the capacity to collect valuable ecological data when research budgets are limited. We converted a commercially available global positioning system (GPS) product into a low-cost tracking device that sends data via the mobile phone network, and assessed its performance under varying conditions. We established a stationary test, deploying devices along a continuum from open urban areas to topographically and structurally complex forested sites. We tested three features of the device: (a) the GPS, by measuring fix success rate, fix precision and horizontal dilution of precision (HDOP), (b) remote download capacity via the mobile phone network and (c) battery drain. Measures of GPS performance demonstrated high fix success rates and precision. HDOP values were influenced by habitat type and topographical position, but generally remained very low, giving an acceptable degree of error for most applications in wildlife research. Devices experienced delayed data transmission at sites with less phone reception, and faster battery drain at sites with denser vegetation. We recorded device malfunctions in 8.2% of the 110 sampling locations, but these were not associated with habitat type or topography. Our device was effective under a wide range of conditions, and the development process we used provides guidance to other researchers aiming to develop cost-effective wildlife trackers. Reducing the financial and labour costs of acquiring high-quality movement data will improve the capacity to increase sample size in animal movement studies.