Miracle-dz/UniFAR-FTUs huggingface dataset:
Fusion of GFP and phase contrast images with complex shearlet transform and Haar wavelet‐based energy rule

Image fusion techniques can integrate the information from different imaging modalities to get a composite image which is more suitable for human visual perception and further image processing tasks. Fusing green fluorescent protein (GFP) and phase contrast images is very important for subcellular localization, functional analysis of protein and genome expression. The fusion method of GFP and phase contrast images based on complex shearlet transform (CST) is proposed in this paper. Firstly the GFP image is converted to IHS model and its intensity component is obtained. Secondly the CST is performed on the intensity component and the phase contrast image to acquire the low‐frequency subbands and the high‐frequency subbands. Then the high‐frequency subbands are merged by the absolute‐maximum rule while the low‐frequency subbands are merged by the proposed Haar wavelet‐based energy (HWE) rule. Finally the fused image is obtained by performing the inverse CST on the merged subbands and conducting IHS‐to‐RGB conversion. The proposed fusion method is tested on a number of GFP and phase contrast images and compared with several popular image fusion methods. The experimental results demonstrate that the proposed fusion method can provide better fusion results in terms of subjective quality and objective evaluation.
Gas-forming pyogenic liver abscess: A world review

Backgrounds/Aims Gas-forming pyogenic liver abscess (GFPLA) has an incidence of up to 30% of all pyogenic liver abscesses (PLA). GFPLA has higher mortality compared to non-GFPLA. Mere presence of gas within abscess may not determine clinical outcome. Hence it is important to study biologic characteristics that make GFPLA a distinct clinical entity. The aim of this study was to conduct a world review on GFPLA. Methods We conducted literature searches in PubMed using the following MeSH terms: “gas forming” AND “Liver abscess, pyogenic”, “gas” AND “Liver abscess, pyogenic”, “gas” AND “Liver abscess”, “gas forming” AND “Liver abscess”. Thirteen case series including 313 GFPLA patients were included. Age, gender, diabetes mellitus (DM), bacteriology, underlying etiology, symptoms, investigations, operative indications, and mortality rates were tabulated. Results GFPLA is often cryptogenic. There was no difference in age, gender, or symptomatology between GFPLA and non-GFPLA patients. DM was more common in patients with GFPLA compared to that in non-GFPLA patients (mean: 83.5% vs. 38.3%). Klebsiella pneumoniae is the most common causative pathogen. GFPLA has higher mortality compared to non-GFPLA (mean: 30.3% vs. 9%). Conclusions GFPLA is associated with DM and monomicrobial Klebsiella pneumoniae infection. GFPLA has high mortality. It needs to be recognized as a distinct clinical entity.
Leveraging Crowdsourcing Data for Deep Active Learning An Application: Learning Intents in Alexa

This paper presents a generic Bayesian framework that enables any deep learning model to actively learn from targeted crowds. Our framework inherits from recent advances in Bayesian deep learning, and extends existing work by considering the targeted crowdsourcing approach, where multiple annotators with unknown expertise contribute an uncontrolled amount (often limited) of annotations. Our framework leverages the low-rank structure in annotations to learn individual annotator expertise, which then helps to infer the true labels from noisy and sparse annotations. It provides a unified Bayesian model to simultaneously infer the true labels and train the deep learning model in order to reach an optimal learning efficacy. Finally, our framework exploits the uncertainty of the deep learning model during prediction as well as the annotators» estimated expertise to minimize the number of required annotations and annotators for optimally training the deep learning model. We evaluate the effectiveness of our framework for intent classification in Alexa (Amazon»s personal assistant), using both synthetic and real-world datasets. Experiments show that our framework can accurately learn annotator expertise, infer true labels, and effectively reduce the amount of annotations in model training as compared to state-of-the-art approaches. We further discuss the potential of our proposed framework in bridging machine learning and crowdsourcing towards improved human-in-the-loop systems.
Comprehensive immunohistochemical analysis of PD-L1 shows scarce expression in castration-resistant prostate cancer

Background We aimed to analyze the frequency and distribution of PD-L1 expression in specimens from prostate cancer (PC) patients using two different anti-PD-L1 antibodies (E1L3N, SP263). Materials and Methods PD-L1 immunohistochemistry was performed in a tissue microarray consisting of 82 castration-resistant prostate cancer (CRPC) specimens, 70 benign prostate hyperplasia (BPH) specimens, 96 localized PC cases, and 3 PC cell lines, using two different antibodies (clones E1L3N, and SP263). Staining images for CD4, CD8, PD-L1, and PanCK of a single PD-L1 positive case were compared, using a newly developed dot-wise correlation method for digital images to objectively test for co-expression. Results Depending on the antibody used, in tumor cells (TC) only five (E1L3N: 6%) and three (SP263: 3.7%) samples were positive. In infiltrating immune cells (IC) 12 (SP263: 14.6%) and 8 (E1L3N: 9.9%) specimens showed PD-L1 expression. Two PC cell lines (PC3, LnCaP) also displayed membranous immunoreactivity. All localized PCs or BPH samples tested were negative. Dot-wise digital correlation of expression patterns revealed a moderate positive correlation between PD-L1 and PanCK expression, whereas both PanCK and PD-L1 showed a weak negative Pearson correlation coefficient between CD4 and CD8. Conclusions PD-L1 was not expressed in localized PC or BPH, and was only found in a minority of CRPC tumors and infiltrating immune cells. Protein expression maps and systematic dot-wise comparison could be a useful objective way to describe the relationship between immuno- and tumor-related proteins in the future, without the need to develop multiplex staining methods.
NID1, a new regulator of EMT required for metastasis and chemoresistance of ovarian cancer cells

Nidogen-1 (NID1) has been identified as a novel candidate diagnostic biomarker of ovarian cancer in our previous study. Nevertheless, the role of NID1 in the pathogenesis of ovarian cancer is unclear. In the present study, we demonstrated that NID1 was a mesenchymal associated gene and its high expression was significantly correlated with shorter overall survival of ovarian cancer patients. The ectopic expression of NID1 in OVCAR-3 cells revealed a epithelial-mesenchymal transition (EMT) phenotype accompanied by enhancement of motility, invasiveness and cisplatin resistance, whereas the knockdown of NID1 was sufficient to convert HEY cells into epithelial phenotype with decreased capability of motility, invasiveness and cisplatin resistance. Mechanistic studies disclosed that NID1 activated ERK/MAPK signaling pathway to promote EMT. Collectively, our findings have uncovered the molecular mechanisms of NID1 in promoting ovarian cancer metastasis and chemoresistance, and provide a rationale for the therapeutic potential of NID1 suppression in ovarian cancer.
Validity of the six-minute step test of free cadence in patients with chronic obstructive pulmonary disease

Objectives: to evaluate the concurrent validity of the six-minute step test (6MST) in assessing exercise capacity of COPD patients using the six-minute walk test (6MWT) as a gold-standard. The predictive validity of the 6MST was assessed to determine a cut-off point for identification of low exercise capacity. Method: thirty-two COPD patients (50-87 years old) with mild to very severe obstruction performed the 6MST and 6MWT twice. Results: Concurrent validity: a strong positive correlation (Pearson) between the number of ascents on the first (T1), second (T2) and the best of both (T1 or T2) tests during the 6MWT was observed. Although a moderate negative correlation with BODE index and FEV1 was found, it was considered insufficient to test the validity, therefore ROC curves were not applied. The predictive validity (ROC) of the 6MST to identify low physical capacity (compared with the 6MWT) using the performance of T1 or T2, or solely T1 was considered accurate, and the area under the curve was 0.8 (IC95% 0.62-0.98) and 0.85 (IC95% 0.70-0.99), respectively. To classify patients, the cut-off points of 86 and 78 steps were chosen, with both values showing 90% of sensitivity and specificity of 64% and 68% for T1 or T2, or solely T1, respectively. Conclusion: The number of steps on the 6MST was valid to verify exercise capacity in COPD patients and the cut-off point of 78 steps was able to identify patients with poor exercise tolerance. Values under this cut-off point are considered to identify patients with a poorer prognosis.
Does the P* Model Provide Any Rationale for Monetary Targeting?

Abstract The so-called P* model is frequently used or referred to in discussions of monetary targeting. This gives the impression that the P* model might provide some rationale for monetary targeting or for the monetary reference value used by the Eurosystem. The P* model implies that inflation is determined by the level of and changes in the `real money gap' (the deviation of current real balances from their long-run equilibrium level), and hence that the real money gap is an important indicator for future inflation. Nevertheless, the P* model does not seem to provide any rationale for either a Bundesbank-style money-growth target or a Eurosystemstyle money-growth indicator.
Augmentation of S-Nitrosoglutathione Controls Cigarette Smoke-Induced Inflammatory-Oxidative Stress and Chronic Obstructive Pulmonary Disease-Emphysema Pathogenesis by Restoring Cystic Fibrosis Transmembrane Conductance Regulator Function.

AIMS Cigarette smoke (CS)-mediated acquired cystic fibrosis transmembrane conductance regulator (CFTR)-dysfunction, autophagy-impairment, and resulting inflammatory-oxidative/nitrosative stress leads to chronic obstructive pulmonary disease (COPD)-emphysema pathogenesis. Moreover, nitric oxide (NO) signaling regulates lung function decline, and low serum NO levels that correlates with COPD severity. Hence, we aim to evaluate here the effects and mechanism(s) of S-nitrosoglutathione (GSNO) augmentation in regulating inflammatory-oxidative stress and COPD-emphysema pathogenesis. RESULTS Our data shows that cystic fibrosis transmembrane conductance regulator (CFTR) colocalizes with aggresome bodies in the lungs of COPD subjects with increasing emphysema severity (Global Initiative for Chronic Obstructive Lung Disease [GOLD] I - IV) compared to nonemphysema controls (GOLD 0). We further demonstrate that treatment with GSNO or S-nitrosoglutathione reductase (GSNOR)-inhibitor (N6022) significantly inhibits cigarette smoke extract (CSE; 5%)-induced decrease in membrane CFTR expression by rescuing it from ubiquitin (Ub)-positive aggresome bodies (p < 0.05). Moreover, GSNO restoration significantly (p < 0.05) decreases CSE-induced reactive oxygen species (ROS) activation and autophagy impairment (decreased accumulation of ubiquitinated proteins in the insoluble protein fractions and restoration of autophagy flux). In addition, GSNO augmentation inhibits protein misfolding as CSE-induced colocalization of ubiquitinated proteins and LC3B (in autophagy bodies) is significantly reduced by GSNO/N6022 treatment. We verified using the preclinical COPD-emphysema murine model that chronic CS (Ch-CS)-induced inflammation (interleukin [IL]-6/IL-1β levels), aggresome formation (perinuclear coexpression/colocalization of ubiquitinated proteins [Ub] and p62 [impaired autophagy marker], and CFTR), oxidative/nitrosative stress (p-Nrf2, inducible nitric oxide synthase [iNOS], and 3-nitrotyrosine expression), apoptosis (caspase-3/7 activity), and alveolar airspace enlargement (Lm) are significantly (p < 0.05) alleviated by augmenting airway GSNO levels. As a proof of concept, we demonstrate that GSNO augmentation suppresses Ch-CS-induced perinuclear CFTR protein accumulation (p < 0.05), which restores both acquired CFTR dysfunction and autophagy impairment, seen in COPD-emphysema subjects. INNOVATION GSNO augmentation alleviates CS-induced acquired CFTR dysfunction and resulting autophagy impairment. CONCLUSION Overall, we found that augmenting GSNO levels controls COPD-emphysema pathogenesis by reducing CS-induced acquired CFTR dysfunction and resulting autophagy impairment and chronic inflammatory-oxidative stress. Antioxid. Redox Signal. 27, 433-451.
Effects of backpack load and positioning on nonlinear gait features in young adults

Abstract Overloaded backpacks can cause changes in posture and gait dynamic balance. Therefore, the aim of this study was to assess gait regularity and local dynamic stability in young adults as they carried a backpack in different positions, and with different loads. Twenty-one healthy young adults participated in the study, carrying a backpack that was loaded with 10 and 20% of their body weight (BW). The participants walked on a level treadmill at their preferred walking speeds for 4 min under different conditions of backpack load and position (i.e. with backpack positioned back bilaterally, back unilaterally, frontally or without a backpack). Results indicate that backpack load and positioning significantly influence gait stability and regularity, with the exception of the 10% BW bilateral back position. Therefore, the recommended safe load for school-age children and adolescents (10% of BW) should also be considered for young adults. Practitioner summary: Increase in load results in changes in posture, muscle activity and gait parameters, so we investigated the gait adaptations related to regularity and stability. Conditions with high backpack loads significantly influenced gait stability and regularity in a position-dependent manner, except for 10% body weight bilateral back position.
Esophageal squamous papilloma: A case series and literature review

Esophageal squamous papilloma (ESP) is a rare neoplasm, usually appearing incidentally in 0.01-0.45% of esophagogastroduodenoscopies (EGD). 1-3 They typically occur as a single lesion with average size ranging from 2-8 mm.3
Composition-dependent photoluminescence and electronic structure of 2-dimensional borocarbonitrides, BC X N (x = 1, 5)

Layered borocarbonitrides BCN and BC5N with a wide difference in composition have been prepared by the urea route. These 2D materials show a significant difference in the photoluminescence spectra, with BCN and BC5N showing maxima at 340 and 410 nm (3.61 and 3.0 eV), besides exhibiting different electrical resistivities. First-principles calculations show that BCN and BC5N are associated with different band gaps, the gap of the carbon-rich composition being lower. The change in the electronic structure and properties is related to the composition of BC X N i.e. the ordering of the graphene and BN domains.
Achievements in forest tree improvement in Australia and New Zealand 9. Genetic improvement of Eucalyptus nitens in Australia

Summary Eucalyptus nitens is the second most widely planted eucalypt species in Australia. The species is principally grown for the production of pulpwood but substantial areas are also managed for solid-wood production. The first large-scale E. nitens progeny trials were established in the 1970s and up to two cycles of breeding have since been completed. Estimates of genetic gains achieved through breeding are not routinely published, but numerous genetic gain trials have been established. Advances in the understanding of E. nitens genetic architecture and reproductive biology have been integrated into operational breeding and deployment programs. Despite extensive research into alternative deployment strategies, improved E. nitens genotypes are almost universally deployed as seedlings derived from open-pollinated seed-orchards.
How do parents' depression and anxiety, and infants' negative temperament relate to parent–infant face-to-face interactions?

Abstract The present study investigated the associations of mothers' and fathers' lifetime depression and anxiety symptoms, and of infants' negative temperament with parents' and infants' gaze, facial expressions of emotion, and synchrony. We observed infants' (age between 3.5 and 5.5 months, N = 101) and parents' gaze and facial expressions during 4-min naturalistic face-to-face interactions. Parents' lifetime symptoms of depression and anxiety were assessed with clinical interviews, and infants' negative temperament was measured with standardized observations. Parents with more depressive symptoms and their infants expressed less positive and more neutral affect. Parents' lifetime anxiety symptoms were not significantly related to parents' expressions of affect, while they were linked to longer durations of gaze to parent, and to more positive and negative affect in infants. Parents' lifetime depression or anxiety was not related to synchrony. Infants' temperament did not predict infants' or parents' interactive behavior. The study reveals that more depression symptoms in parents are linked to more neutral affect from parents and from infants during face-to-face interactions, while parents' anxiety symptoms are related to more attention to parent and less neutral affect from infants (but not from parents).
Numerical Gaussian Processes for Time-Dependent and Nonlinear Partial Differential Equations

We introduce the concept of numerical Gaussian processes, which we define as Gaussian processes with covariance functions resulting from temporal discretization of time-dependent partial differential equations. Numerical Gaussian processes, by construction, are designed to deal with cases where (a) all we observe are noisy data on black-box initial conditions, and (b) we are interested in quantifying the uncertainty associated with such noisy data in our solutions to time-dependent partial differential equations. Our method circumvents the need for spatial discretization of the differential operators by proper placement of Gaussian process priors. This is an attempt to construct structured and data-efficient learning machines, which are explicitly informed by the underlying physics that possibly generated the observed data. The effectiveness of the proposed approach is demonstrated through several benchmark problems involving linear and nonlinear time-dependent operators. In all examples, we are able to r.
Data Hiding in Motion Vectors of Compressed Video Based on Their Associated Prediction Error

This paper deals with data hiding in compressed video. Unlike data hiding in images and raw video which operates on the images themselves in the spatial or transformed domain which are vulnerable to steganalysis, we target the motion vectors used to encode and reconstruct both the forward predictive (P)-frame and bidirectional (B)-frames in compressed video. The choice of candidate subset of these motion vectors are based on their associated macroblock prediction error, which is different from the approaches based on the motion vector attributes such as the magnitude and phase angle, etc. A greedy adaptive threshold is searched for every frame to achieve robustness while maintaining a low prediction error level. The secret message bitstream is embedded in the least significant bit of both components of the candidate motion vectors. The method is implemented and tested for hiding data in natural sequences of multiple groups of pictures and the results are evaluated. The evaluation is based on two criteria: minimum distortion to the reconstructed video and minimum overhead on the compressed video size. Based on the aforementioned criteria, the proposed method is found to perform well and is compared to a motion vector attribute-based method from the literature.
Another Enchantment From ENCHANTED (Enhanced Control of Hypertension and Thrombolysis Stroke Study): Are Savings and Safety More Salutary Than Efficacy?

> It is a capital mistake to theorise before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts. > > —Sir Arthur Ignatius Conan Doyle, 1892, The Adventures of Sherlock Holmes , Sherlock Holmes in "A Scandal in Bohemia" See related article, p 1877 Ongoing discussions address the optimum dose of r-tPA (recombinant tissue plasminogen activator). Although in most countries in the world, the so-called standard dose of 0.9 mg/kg bodyweight is approved and used (based on numerous randomized controlled trials and joint and meta-analyses), in Japan and some other Asian countries, a low dose of 0.6 mg/kg bodyweight has been proposed or approved. Besides cost issues, the original rationale for the low dose was derived from the fear that Asians are a more bleeding-prone ethnic group and was tested because of safety concerns. On the contrary, the value of having 1 drug at 1 dose for an emergency situation is helpful because it is still a challenge to establish only that worldwide. After a single-arm nonrandomized study in 103 patients in J-ACT 11 (Japan Alteplase Clinical Trial), the dose of 0.6 mg/kg was approved in Japan. Efficacy and safety of this lower-dose thrombolytic therapy were confirmed by postmarketing surveys and registries in Japan, that is, J-ACT 22 (58 patients), J-MARS (Japan Postmarketing Alteplase Registration Study3; 7492 patients; 4944 with 3-month outcomes), and SAMURAI (Stroke Acute Management With Urgent Risk-Factor, Assessment Improvement Study)4 (600 patients). All these nonrandomized studies suggested with a low data quality (because of trial design) that intravenous thrombolysis with a 0.6 mg/kg dose achieved numerically similar outcomes and safety end points as comparable data sets from the large randomized controlled clinical trials. There is nothing like first hand evidence.5 About 1 year ago, Anderson …
The Trend Is Your (Imaginary) Friend - A Behavioral Perspective on Technical Analysis

Technical analysts, or chartists, aim at predicting future prices from past prices. To this end, for example, they draw resistance levels and Moving Average (MA) lines into stock price charts. We show that the widely employed MA cross-over rule is consistent with prospect theory preferences even when prices do not move in trends and when stock trading is unattractive to all rational expected utility maximizers. While chartists often argue that market participants being less than fully rational explains why technical analysis is proﬁtable, this paper shows that technical analysis may be attractive—even when not proﬁtable—to investors who are less than fully rational.