Unpaired Data Research Articles

Bilinear Image Translation for Temporal Analysis of Photo Collections.

We propose an approach for analyzing unpaired visual data annotated with time stamps by generating how images would have looked like if they were from different times. To isolate and transfer time dependent appearance variations, we introduce a new trainable bilinear factor separation module. We analyze its relation to classical factored representations [1] and concatenation-based auto-encoders [2] . We demonstrate this new module has clear advantages compared to standard concatenation when used in a bottleneck encoder-decoder convolutional neural network architecture. We also show that it can be inserted in a recent adversarial image translation architecture [3] , enabling the image transformation to multiple different target time periods using a single network. We apply our model to a challenging collection of more than 13,000 cars manufactured between 1920 and 2000 [4] and a dataset of high school yearbook portraits from 1930 to 2009 [5] . This allows us, for a given new input image, to generate a "history-lapse video" revealing changes over time by simply varying the target year. We show that by analyzing the generated history-lapse videos we can identify object deformations across time, extracting interesting changes in visual style over decades.

Evaluation of Lower Anterior Facial Height and Incisors Vertical Dimension after Class II Division 1 Treatment

Introduction: Orthodontic treatment of class II division 1 malocclusion by extracting the maxillary first premolar causes vertical dimensional change is still a matter of debate. The purpose of this research was to determine the vertical changes of the lower anterior facial height and maxillary incisor vertical dimensions in class II division 1 malocclusion after orthodontic treatment with Edgewise technique. Materials and Methods: This study was conducted on the cephalometry of 24 patients before and after orthodontic treatment with inclusion criteria as follows: Angle Class II division 1 malocclusion, aged 18-30 years old. Measurements were taken for the lower anterior facial height (ANS - Me) and maxillary incisor vertical dimensions by performing an Upper Anterior Dental Height (UADH). Data analysis used was the Wilcoxon test for unpaired data. Results: The result of p-value = 0.195 > 0.05 for lower anterior face height showed no significant difference; and p-value = 0.878 > 0.05 for UADH also showed no significant difference. Conclusion: Orthodontic treatment for class II division 1 malocclusion with the removal of two premolars does not change the lower anterior facial height and maxillary incisor vertical dimensions.

Different Formulations of Levothyroxine for Treating Hypothyroidism: A Real-Life Study.

Objective Hypothyroid patients are treated by sodium levothyroxine (LT4). Tablet is the mostly used LT4 formulation, and the fasting regimen is required for the absorption of active principle. Also, gastrointestinal diseases and drugs may impair the LT4 bioavailability when tablet is used. Nonsolid LT4 formulations (i.e., liquid solution (LS) and soft gel (SG) capsule) were manufactured to overcome the limitations of LT4 tablet. This study was conceived to evaluate the performance of nonsolid LT4 formulations in a real-life scenario. Methods Two institutions participated in the study that was conducted in two phases (i.e., enrollment and re-evaluation). Adults with autoimmune or postsurgical hypothyroidism and on LT4 from a few months were selected. A nonparametric statistical analysis for paired or unpaired data was performed. Results 121 consecutive cases were included. At the enrollment phase, a 52% of patients took the therapy at least 30 min before breakfast with no difference between tablet and SG/LS users. TSH was 1.65 mIU/L (0.86–2.70) in patients on LT4 tablet and 1.70 mIU/L (1.10–2.17) in those on SG/LS (p=0.66). At the re-evaluation phase, among the patients using correct LT4 assumption, the TSH value was stable in the tablet group (p=0.66). At the re-evaluation phase, among the patients using correct LT4 assumption, the TSH value was stable in the tablet group (p=0.66). At the re-evaluation phase, among the patients using correct LT4 assumption, the TSH value was stable in the tablet group (p=0.66). At the re-evaluation phase, among the patients using correct LT4 assumption, the TSH value was stable in the tablet group (p=0.66). At the re-evaluation phase, among the patients using correct LT4 assumption, the TSH value was stable in the tablet group (Conclusion The performance of nonsolid LT4 formulations is not influenced by correct or incorrect use of therapy. On the contrary, LT4 tablet does not guarantee euthyroidism when it is ingested without waiting for at least 30 minutes before breakfast. These new data, obtained in a real-life scenario, suggest that LT4 SG/LS should be regarded as first-line therapy for treating adults with newly diagnosed hypothyroidism.

A Bibliometric Analysis of Citation Classics in the Journal of Ultrasound in Medicine.

A bibliometric analysis of articles in the Journal of Ultrasound in Medicine (JUM) identified the journals' most impactful articles. A bibliometric analysis of citation classics that were published in the JUM from its inception in 1982 to 2019 was performed. All citation classics, defined as articles cited 100 or more times, were evaluated for the number of citations, citations per year, publication year, subspecialty, design, and country of origin. Characteristics were compared before and after 1998 by the Mann-Whitney test for unpaired data and 2-sample z tests of sample proportions. The Kruskal-Wallis test for nonparametric continuous data was used to compare the median number of citations per year by decade of publication. A total of 7868 articles were published in the JUM between 1982 and 2019; 54 (0.7%) were citation classics. The median citation classics year of publication was 1998 (interquartile range [IQR], 1991-2003). Most citation classics originated from the United States (36 of 54 [66.7%]), were observational (47 of 54 [87%]), and were related to obstetric and gynecologic topics (16 of 54 [29.6%]). Citation classics after 1998 received significantly more citations per year (9.3 versus 4.7; P < .001), with no other differences noted. The median number of citations per year increased for each decade, with medians of 4 citations (IQR, 3.6-4.7) in 1982 to 1991 and 11.2 citations (IQR, 9-13.9) in 2002 to 2012 (P < .001). This list provides insight into the most influential articles that were published in the JUM. Most citation classics were observational, were from the United States, and covered obstetric and gynecologic topics. Citation classics received more citations per year after 1998.

Non-invasive evaluation of macro- and microhemodynamic changes during induction of general anesthesia - A prospective observational single-blinded trial.

Hypotension and bradycardia are known side effects of general anesthesia, while little is known about further macro- and microhemodynamic changes during induction. Intriguing is furthermore, why some patients require no vasopressor medication to uphold mean arterial pressure, while others need vasopressor support. Determination of macro- and microhemodynamic changes during induction of general anesthesia. We enrolled 150 female adults scheduled for gynaecological surgery into this prospective observational, single-blinded trial. Besides routinely measuring heart rate (HR) and mean arterial blood pressure (MAP), the non-invasive technique of thoracic electrical bioimpedance was applied to measure cardiac output (CO), cardiac index (CI), stroke volume (SV), stroke volume variability (SVV) and index of myocardial contractility (ICON) before induction of anesthesia, 7 times during induction, and, finally, after surgery in the recovery room. Changes in microcirculation were assessed using sidestream dark field imaging to establish the perfused boundary region (PBR), a validated gauge of glycocalyx health. Comparisons were made with Friedman's or Wilcoxon test for paired data, and with Mann-Whitney-U test for unpaired data, with post-hoc corrections for multiple measurements by the Holm-Bonferroni method. 83 patients did not need vasopressor support, whereas 67 patients required therapy (norepinephrine, atropine or cafedrine/theodrenaline) to elevate MAP values to ≥70mmHg during induction, 54 of these receiving norepinephrine (NE) alone. Pre-interventional (basal) values of CO, CI, ICON, SV and SVV were all significantly lower in the group of patients later requiring NE (p < 0.04), whereas HR and MAP were identical for both groups. HR, MAP and CO decreased from baseline to 12 min after induction of general anesthesia in both the patients without and those with NE support. Heart rate decreased significantly by about 25% in both groups (-19 to -21 bpm). The median individual decrease of MAP amounted to -26.7% (19.7/33.3, p < 0.001) and -26.1% (11.6/33.2, p < 0.001), respectively, whereas for CO it was -40.7% (34.1/50.1, p < 0.001) and -43.5% (34.8/48.7). While these relative changes did not differ between the two groups, in absolute values there were significantly greater decreases in CO, CI, SV and ICON in the group requiring NE. Noteably, NE did not restore ICON or the other cardiac parameters to levels approaching those of the group without NE. PBR was measured in a total of 84 patients compiled from both groups, there being no intergroup differences. It increased 6.4% (p < 0.001) from pre-induction to the end of the operation, indicative of damage to microvascular glycocalyx. Non-invasive determination of CO provides additional hemodynamic information during anesthesia, showing that induction results in a significant decrease not only of MAP but also of CO and other cardiac factors at all timepoints compared to baseline values. The decrease of CO was greater than that of MAP and, in contrast to MAP, did not respond to NE. There was also no sign of a positive inotropic effect of NE in this situation. Support of MAP by NE must consequently result from an increase in peripheral arterial resistance, posing a risk for oxygen supply to tissue. In addition, general anesthesia and the operative stimulus lead to an impairment of the microcirculation.

The impact of Ureaplasma infections on pregnancy complications

ABSTRACT The aim of this study was to assess if ureaplasmas are associated with pregnancy complications and diseases in newborns. Pregnant women with complaints and threatening signs of preterm delivery were included. A sample, taken from the endocervical canal and from the surface of the cervical portion, was sent to the local microbiology laboratory for DNA detection of seven pathogens: Chlamydia trachomatis, Mycoplasma hominis, Mycoplasma genitalium, Ureaplasma parvum, Ureaplasma urealyticum, Neisseria gonorrhoeae, and Trichomonas vaginalis. The Pearson Chi-Square test was used to determine the difference in unpaired categorical data. A two-sided p value <0.05 was considered to be statistically significant. In all, 50 pregnant women with complaints and threatening signs of preterm delivery were included. Premature rupture of uterine membranes was found in 23 (46%) of the patients and 38 women (76%) had preterm delivery. Ureaplasma infections were associated with a premature rupture of membranes (p < 0.004), the placental inflammation (p < 0.025), a newborn respiratory distress syndrome (p < 0.019). Ureaplasmas could have affected the preterm leakage of fetal amniotic fluid and are associated with the placental inflammation and a newborn respiratory distress syndrome.

The long-term efficacy of rapid maxillary expansion and facemask therapy in Class III malocclusion

Abstract Aim The aim of the present study was to investigate the long-term efficacy of rapid maxillary expansion (RME) and facemask (FM) therapy in the treatment of Class III malocclusions by comparing Class III subjects treated by RME/FM mechanics with untreated Class III controls at the Western Australian public dental hospital. Materials and methods The lateral cephalograms of 42 (26 males, 16 females) Class III patients treated by RME/FM therapy were analysed and compared with a control sample comprised of 23 (14 males, 9 females) untreated Class III patients. Evaluations were carried out prior to facemask therapy and at a long-term follow-up period of approximately eight to nine years post-treatment. Statistical comparisons were performed using t-tests for unpaired data. Results At long-term follow-up, there were no statistically significant differences between the treated and control groups except in overjet, which was greater in the treated group (p &lt; 0.05). Conclusions These results suggest that the short-term effects on the maxilla in RME/FM therapy are not maintained in the long term. Success in treatment is largely dependent on the patient’s skeletal growth pattern.

UID-GAN: Unsupervised Image Deblurring via Disentangled Representations

Recent advances in deep convolutional neural networks (DCNNs) and generative adversarial networks (GANs) have significantly improved the performance of single image blind deblurring algorithms. However, most of the existing algorithms require paired training data. In this paper, we present an unsupervised method for single-image deblurring without paired training images. We introduce a disentangled framework to split the content and blur features of a blurred image, which yields improved deblurring performance. To handle the unpaired training data, a blurring branch and the cycle-consistency loss are added to guarantee that the content structures of the restored results match the original images. We also add a perceptual loss to further mitigate the artifacts. For natural image deblurring, we introduce a color loss to reduce color distortions in outputs. Extensive experiments on both domain-specific and natural image deblurring show the proposed method achieves competitive results compared to recent state-of-the-art deblurring approaches.

Unpaired Low-Dose CT Denoising Network Based on Cycle-Consistent Generative Adversarial Network with Prior Image Information.

The widespread application of X-ray computed tomography (CT) in clinical diagnosis has led to increasing public concern regarding excessive radiation dose administered to patients. However, reducing the radiation dose will inevitably cause server noise and affect radiologists' judgment and confidence. Hence, progressive low-dose CT (LDCT) image reconstruction methods must be developed to improve image quality. Over the past two years, deep learning-based approaches have shown impressive performance in noise reduction for LDCT images. Most existing deep learning-based approaches usually require the paired training dataset which the LDCT images correspond to the normal-dose CT (NDCT) images one-to-one, but the acquisition of well-paired datasets requires multiple scans, resulting the increase of radiation dose. Therefore, well-paired datasets are not readily available. To resolve this problem, this paper proposes an unpaired LDCT image denoising network based on cycle generative adversarial networks (CycleGAN) with prior image information which does not require a one-to-one training dataset. In this method, cyclic loss, an important trick in unpaired image-to-image translation, promises to map the distribution from LDCT to NDCT by using unpaired training data. Furthermore, to guarantee the accurate correspondence of the image content between the output and NDCT, the prior information obtained from the result preprocessed using the LDCT image is integrated into the network to supervise the generation of content. Given the map of distribution through the cyclic loss and the supervision of content through the prior image loss, our proposed method can not only reduce the image noise but also retain critical information. Real-data experiments were carried out to test the performance of the proposed method. The peak signal-to-noise ratio (PSNR) improves by more than 3 dB, and the structural similarity (SSIM) increases when compared with the original CycleGAN without prior information. The real LDCT data experiment demonstrates the superiority of the proposed method according to both visual inspection and quantitative evaluation.

Modulus of Elasticity of Two Ceramic Materials and Stress-Inducing Mechanical Deformation following Fabrication Techniques and Adhesive Cementation Procedures of a Dental Ceramic.

Statement of Problem Fabrication technique, precementation, and cementation operative procedures can induce significant modification of the stressing patterns throughout the thickness of some classes of dental ceramic materials. Objectives To estimate, by means of the deflection test, residual stress in restorative dental ceramic following fabrication technique, precementation, and resin cement coating procedures and to relate it to the elastic property of the ceramic material tested. Materials and Methods From IPS e.max® Press, lithium disilicate heat-pressed glass-ceramic (elastic modulus of 95 ± 5 GPa) disc-shaped specimens (n = 10) were made according to the manufacturer's instructions. One surface of the specimens was polished to provide accurate baseline profilometric measurements (reference surface). Deflection measurements were performed after polishing and annealing alumina air-particle abrasion of the unpolished surface followed by resin cement coating of the alumina air-particle abraded surface. The specimens were reprofiled at 24, 48, and 168 hrs after coating. The Friedman test followed by Dunn's multiple comparison test was employed to identify significant differences (p < 0.05). To compare the difference in mean of maximum mechanical deflection, after cement coating at 0 hr, between two different ceramic materials (IPS e.max Press and Vitadur Alpha (result from another study)), Student's t-test for unpaired data was performed. Results Baseline profilometric measurements identified a convex form on the polished surface of the ceramic discs with a mean of maximum mechanical deflection of 4.45 ± 0.87 μm. A significant reduction in convexity of the polished specimens was characterized after alumina air-particle abrasion of the unpolished surface. The mean deflection significantly increased after resin cement coating and did not change over the time investigated. Conclusions The precementation treatment, namely, alumina air-particle abrasion and cementation procedure of IPS e.max® Press glass-ceramic disc-shaped specimens generates stress that induced mechanical deformation. However, a dental ceramic material with higher elastic modulus (stiffer) would minimize stress-inducing mechanical deformation.

Semi-supervised cross-modal image generation with generative adversarial networks

Cross-modal image generation is an important aspect of the multi-modal learning. Existing methods usually use the semantic feature to reduce the modality gap. Although these methods have achieved notable progress, there are still some limitations: (1) they usually use single modality information to learn the semantic feature; (2) they require the training data to be paired. To overcome these problems, we propose a novel semi-supervised cross-modal image generation method, which consists of two semantic networks and one image generation network. Specifically, in the semantic networks, we use image modality to assist non-image modality for semantic feature learning by using a deep mutual learning strategy. In the image generation network, we introduce an additional discriminator to reduce the image reconstruction loss. By leveraging large amounts of unpaired data, our method can be trained in a semi-supervised manner. Extensive experiments demonstrate the effectiveness of the proposed method.

Splinting vs Not Splinting Four Implants Supporting a Maxillary Overdenture: A Systematic Review.

To investigate the influence of splinted vs unsplinted designs for a maxillary overdenture supported by four implants in terms of the outcome measures implant survival, overdenture longevity, and patient satisfaction. A systematic search, complemented by a handsearch, was carried out in the Embase, MEDLINE (PubMed), and Web of Science databases from 2000 to 2018. The PRISMA statement and a PICO approach were adopted. Free-text words were used in the strategy search, including "4-implant-retained overdenture," "4-implant-supported overdenture," "implant-supported overdenture," "implant-retained overdenture," "maxillary overdenture," "splinted design," "un-splinted design," and their combinations. All selected articles provided at least a 1-year follow-up, 10 fully edentulous patients, and at least one of the following clinical outcomes: survival rate of implants, survival rate of overdentures, and/or patient satisfaction scores. Nonparametric Fisher test for unpaired data was adopted in order to analyze data deriving from the survival rates of implants and overdentures. The initial electronic search produced a total of 2,922 articles. After applying the inclusion criteria, 14 articles were included. The mean follow-up time after implant placement ranged from 1 to 10 years. No statistical difference was detected in the survival rate of implants between the splinted implant group and the unsplinted implant group (P = .1). Only 4 included studies reported an overdenture survival rate of lower than 95%. It is interesting to note that among these 4 studies, 3 employed four splinted implants with a bar anchorage; however, no statistical difference was detected in the survival rate of overdentures between the splinted and unsplinted groups (P = .47). High scores were reported by all studies investigating patient satisfaction. Within the limits of this systematic review, it can be concluded that the survival rates of implants and overdentures and patient satisfaction with a maxillary overdenture supported by four implants were not influenced by the overdenture design, and no statistical difference was detected between the splinted and unsplinted groups.

Learning disentangling and fusing networks for face completion under structured occlusions

Face completion aims to generate semantically new pixels for missing facial components. It is a challenging generative task due to large variations of face appearance. This paper studies generative face completion under structured occlusions. We treat the face completion and corruption as disentangling and fusing processes of clean faces and occlusions, and propose a jointly disentangling and fusing Generative Adversarial Network (DF-GAN). First, three domains are constructed, corresponding to the distributions of occluded faces, clean faces and structured occlusions. The disentangling and fusing processes are formulated as the transformations between the three domains. Then the disentangling and fusing networks are built to learn the transformations from unpaired data, where the encoder-decoder structure is adopted and allows DF-GAN to simulate structure occlusions by modifying the latent representations. Finally, the disentangling and fusing processes are unified into a dual learning framework along with an adversarial strategy. The proposed method is evaluated on Meshface verification problem. Experimental results on four Meshface databases demonstrate the effectiveness of our proposed method for the face completion under structured occlusions.

Robot-assisted Vs Laparoscopic Sacrocolpopexy for High-stage Pelvic Organ Prolapse: A Prospective, Randomized, Single-center Study

ObjectiveTo compare robot assisted to laparoscopic sacrocolpopexy, in terms of efficacy, in the treatment of high-stage pelvic organ prolapse. MethodsThis was a noninferiority prospective randomized trial conducted in a tertiary Urology unit, comparing robot assisted and laparoscopic sacrocolpopexy in patients with symptomatic prolapse stage III and IV, according to the Pelvic Organ Prolapse quantification. All participants provided written informed consent at enrolment. The primary outcome was prolapse objective cure rate. Secondary outcomes included prevalence of urinary, anorectal and sexual symptoms, UDI-6, IIQ7 and FSFI scores, and maximum flow rate. Operative times, intraoperative blood loss, length of hospital stay, postsurgery pain, patient satisfaction as well as surgical and mesh complications were assessed. The Mann-Whitney and Wilcoxon tests for unpaired and paired data, respectively, were used to compare ordinal and nonnormally distributed continuous variables. Categorical data were analyzed by the McNemar, chi-square or Fisher exact test. Two-tailed P <.05 was considered significant. ResultsOne hundred patients were randomized. At a mean follow-up of 24.06 months the cure rate for the apical compartment was 100% with both approaches. There were no significant between-group differences in any of the secondary outcomes with the only exception of C/D point values, where results were significantly better in the robot-assisted group. Overall surgical procedure time was longer in the robot-assisted group. The main limitation of our study is the single-centre design and the inclusion of docking time in robotic-procedure surgical time calculations. ConclusionRobot-assisted sacrocolpopexy provides outcomes comparable to those of laparoscopic with 100% anatomic correction of the apical compartment.

Multiple Cycle-in-Cycle Generative Adversarial Networks for Unsupervised Image Super-Resolution.

With the help of convolutional neural networks (CNN), the single image super-resolution problem has been widely studied. Most of these CNN based methods focus on learning a model to map a low-resolution (LR) image to a highresolution (HR) image, where the LR image is downsampled from the HR image with a known model. However, in a more general case when the process of the down-sampling is unknown and the LR input is degraded by noises and blurring, it is difficult to acquire the LR and HR image pairs for traditional supervised learning. Inspired by the recent unsupervised imagestyle translation applications using unpaired data, we propose a multiple Cycle-in-Cycle network structure to deal with the more general case using multiple generative adversarial networks (GAN) as the basis components. The first network cycle aims at mapping the noisy and blurry LR input to a noise-free LR space, then a new cycle with a well-trained ×2 network model is orderly introduced to super-resolve the intermediate output of the former cycle. The number of total cycles depends on the different up-sampling factors (×2, ×4, ×8). Finally, all modules are trained in an end-to-end manner to get the desired HR output. Quantitative indexes and qualitative results show that our proposed method achieves comparable performance with the state-of-the-art supervised models.

High prevalence of autoimmune diseases in women with endometriosis: a case-control study

The immune system seems to be involved in the pathogenesis of endometriosis. Peritoneal chronic inflammation is present and natural killer cells and macrophages abnormalities have been reported in women with the disease. Moreover, a higher production of serum autoantibodies has been found, which could be related to various factors; some still need to be clarified. The correlation between endometriosis and autoimmune diseases is still unclear with few and conflicting available data. The aim of this study was to evaluate the prevalence of autoimmune diseases, as conditions with a possible common pathogenetic factor, in women affected by endometriosis, in order to address future research on its pathogenesis. This retrospective case-control study includes one hundred and forty-eight women with endometriosis and 150 controls. All women were aged between 18 and 45. Informed consent was obtained from all participants of the study. Considered autoimmune diseases include systemic lupus erythematosus (SLE), celiac disease (CD), inflammatory bowel disease (IBD), and autoimmune thyroiditis. Statistical comparison of patients and control group was performed by means of chi-square test or Fisher’s exact test as appropriate. Statistical comparison of parametric variable (age) among the groups was performed by t-test for unpaired data. Age was expressed as mean. A value of .05 or less was considered as significant. In the case group, five patients were affected by IBD, while the disease was not observed in the control group (p = .07). SLE was found in eight patients in the case group, while only one was found in the control group (p = .01). Fifteen women in the case group were affected by CD, while the disease was present only in one woman in the control group (p<.0001). A significant correlation was also found between endometriosis and autoimmune thyroiditis: 80 patients with endometriosis had thyroid diseases versus 14 patients in the control group (p<.0001). Our study reports an association between endometriosis and autoimmune disorders, showing a higher prevalence of autoimmune diseases in women affected by endometriosis. These results support a possible autoimmune pathogenesis of endometriosis.

One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures.

Compared to computed tomography (CT), magnetic resonance imaging (MRI) delineation of craniomaxillofacial (CMF) bony structures can avoid harmful radiation exposure. However, bony boundaries are blurry in MRI, and structural information needs to be borrowed from CT during the training. This is challenging since paired MRI-CT data are typically scarce. In this paper, we propose to make full use of unpaired data, which are typically abundant, along with a single paired MRI-CT data to construct a one-shot generative adversarial model for automated MRI segmentation of CMF bony structures. Our model consists of a cross-modality image synthesis sub-network, which learns the mapping between CT and MRI, and an MRI segmentation sub-network. These two sub-networks are trained jointly in an end-to-end manner. Moreover, in the training phase, a neighbor-based anchoring method is proposed to reduce the ambiguity problem inherent in cross-modality synthesis, and a feature-matching-based semantic consistency constraint is proposed to encourage segmentation-oriented MRI synthesis. Experimental results demonstrate the superiority of our method both qualitatively and quantitatively in comparison with the state-of-the-art MRI segmentation methods.

A novel generative adversarial net for calligraphic tablet images denoising

Chinese calligraphic images have important historical and artistic value, but natural weathering and man-made decay severely damage these works, thus image denoising is an important topic to be addressed. Traditional denoising methods still leave room for improvement. In this paper, image denoising is modeled as generation of clean image by using GAN (Goodfellow I et al. Advances in Neural Information Processing Systems 2672–2680, 2014) with an embedment of residual dense blocks (Zhang Y et al. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018) that was formerly used for super resolution reconstruction. Meanwhile, a new type of noise is defined to simulate the real noise, and is used for compensation of unpaired data in the training set for GAN. The new structure, used with some preprocessing and training methods, yield satisfactory results compared to known denoising methods.

On-Surface Synthesis of Antiaromatic and Open-Shell Indeno[2,1-b]fluorene Polymers and Their Lateral Fusion into Porous Ribbons.

Polycyclic hydrocarbons have received great attention due to their potential role in organic electronics and, for open-shell systems with unpaired electron densities, in spintronics and data storage. However, the intrinsic instability of polyradical hydrocarbons severely limits detailed investigations of their electronic structure. Here, we report the on-surface synthesis of conjugated polymers consisting of indeno[2,1-b]fluorene units, which are antiaromatic and open-shell biradicaloids. The observed reaction products, which also include a nonbenzenoid porous ribbon arising from lateral fusion of unprotected indeno[2,1-b]fluorene chains, have been characterized via low-temperature scanning tunneling microscopy/spectroscopy and noncontact atomic force microscopy, complemented by density-functional theory calculations. These polymers present a low band gap when adsorbed on Au(111). Moreover, their pronounced antiaromaticity and radical character, elucidated by ab initio calculations, make them promising candidates for applications in electronics and spintronics. Further, they provide a rich playground to explore magnetism in low-dimensional organic nanomaterials.

Soya, maize and sorghum ready-to-use therapeutic foods are more effective in correcting anaemia and iron deficiency than the standard ready-to-use therapeutic food: randomized controlled trial

BackgroundThe prevalence of anaemia and iron deficiency (ID) among children with severe acute malnutrition (SAM) and their correction during nutritional rehabilitation are not well documented. This study assessed anaemia and ID prevalence and their predictors at start of SAM treatment, and the efficacy of their treatment and effect on gut health of two novel Ready-To-Use Therapeutic foods (RUTF) prepared from soybean, maize and sorghum (SMS) with (MSMS-RUTF) or without added milk (FSMS-RUTF) compared to those of the standard formulation prepared from peanut and milk (PM-RUTF).MethodsThis was a 3-arms parallel groups, simple randomised, controlled non-inferiority trial in 6–59 months old Central Malawian children with SAM. Anaemia was defined using altitude- and ethnicity-adjusted haemoglobin. Iron status was defined using soluble transferrin receptor (sTfR) and body iron stores (BIS). We used Pearson’s chi-square test, t-test for paired or unpaired data, Kruskal-Wallis test for between-arm differences as appropriate and logistic regression to identify independent predictors of anaemia or iron deficiency anaemia (IDA).ResultsThe sample size was 389. At admission, the prevalence [%(95%CI)] of anaemia was 48.9(41.4–56.5)% while that of ID and IDA were 55.7(48.6–62.5)% and 34.3(28.2–41.0)% when using sTfR criterion and 29.1(24.4–34.4)% and 28.9(23.7–34.9)% when using BIS criterion, respectively. At discharge, nutrition rehabilitation with SMS-RUTF was associated with the lowest prevalence of anaemia [12.0(6.9–20.3)% for FSMS-RUTF, 18.2(11.9–26.8)% for MSMS-RUTF and 24.5(15.8–35.9)% for PM-RUTF; p = 0.023] and IDA [7.9(3.4–17.3)% for FSMS-RUTF, 10.9(4.8–22.6)% for MSMS-RUTF and 20.5(10.7–35.5)% for PM-RUTF; p = 0.028]. SMS-RUTF was also associated with the highest increase in BIS [Change in BIS (95%CI)] among the iron deplete at admission [6.2 (3.7; 8.6), 3.2 (0.8; 5.6), 2.2 (0.2; 4.3) for the same study arms; Anova p = 0.045]. Compared to P-RUTF, FSMS-RUTF had the highest adjusted recovery rate [OR (95%CI = 0.3 (0.2–0.5) with p < 0.001 for FSMS-RUTF and 0.6 (0.3–1.0) with p = 0.068 for MSMS-RUTF]. No effect of iron content on risk of iron overload or gut inflammation was observed.ConclusionsAnaemia and ID are common among children with SAM. FSMS-RUTF is more efficacious in treating anaemia and correcting BIS among this group than PM-RUTF.Trial registrationThis study was registered on 15 April 2015 (PACTR201505001101224).