Miracle-dz/UniFAR-FTUs huggingface dataset:
The Range Ambiguity Suppression Based On Amplitude Modulation Chirp

Range and azimuth ambiguities are contradictory in SAR system, which restrict the improvements of resolution and swath in satellite platform. Multichannel needs big and complex antenna. And it is proved that orthogonal transmitting signals cannot suppress range ambiguity. Thus high resolution and wide swath system is still a challenge in SAR development. In this paper, we design a novel range ambiguity suppressing method with single channel, which transmits amplitude modulation chirp signals. Through frequency filtering, the ambiguity images can be separated. A minimum mean square error algorithm is then proposed to restore the resolution robustly. Experiment based on Radatsat-1 echo shows that the proposed method can reduce the range ambiguity by 20 dB. Using this method, single-channel system can extend the swath width twice.
Metasurface for Extension of Wireless Power Transfer Distance

We report on a design of metasurface formed by parallel conducting wires for wireless power transfer system. The metasurface being exited by a dielectric resonator guides the power to the receiving resonator. We both numerically and experimentally demonstrate that a stable power transfer efficiency of 83% can be achieved over the distance up to 100 cm between the transmitting and receiving resonators.
How Companies Use OSS Tools Ecosystems for Open Innovation

Moving toward the open innovation (OI) model requires multifaceted transformations within companies. It often involves giving away the tools for product development or sharing future product directions with open tools ecosystems. Moving from the traditional closed innovation model toward an OI model for software development tools shows the potential to increase software development competence and efficiency of organizations. We report a case study in software-intensive company developing embedded devices (e.g., smartphones) followed by a survey in OSS communities such as Gerrit, Git, and Jenkins. The studied branch focuses on developing Android phones. This paper presents contribution strategies and triggers for openness. These strategies include avoid forking OSS tools, empower developers to participate in the ecosystem, steer ecosystems through contributions, create business through differentiation, and create new ecosystems. The triggers of openness are from 30 different companies with examples. Finally, openness requires a cultural change aligned with strategies and business models.
Influences on surgical antimicrobial prophylaxis decision making by surgical craft groups, anaesthetists, pharmacists and nurses in public and private hospitals

Background Surgical antimicrobial prophylaxis (SAP) is a leading indication for antibiotic use in the hospital setting, with demonstrated high rates of inappropriateness. Decision-making for SAP is complex and multifactorial. A greater understanding of these factors is needed to inform the design of targeted antimicrobial stewardship interventions and strategies to support the optimization of SAP and its impacts on patient care. Methods A qualitative case study exploring the phenomenon of SAP decision-making. Focus groups were conducted with surgeons, anaesthetists, theatre nurses and pharmacists across one private and two public hospitals in Australia. Thematic analysis was guided by the Theoretical Domains Framework (TDF) and the Capabilities, Opportunities, Motivators-Behaviour (COM-B) model. Results Fourteen focus groups and one paired interview were completed. Ten of the fourteen TDF domains were identified as relevant. Thematic analysis revealed six significant themes mapped to the COM-B model, and subthemes mapped to the relevant TDF domains in a combined framework. Key themes identified were: 1) Low priority for surgical antimicrobial prophylaxis prescribing skills; 2) Prescriber autonomy takes precedence over guideline compliance; 3) Social codes of prescribing reinforce established practices; 4) Need for improved communication, documentation and collection of data for action; 5) Fears and perceptions of risk hinder appropriate SAP prescribing; and 6) Lack of clarity regarding roles and accountability. Conclusions SAP prescribing is a complex process that involves multiple professions across the pre-, intra- and post-operative surgical settings. The utilisation of behaviour change frameworks to identify barriers and enablers to optimal SAP prescribing supports future development of theory-informed antimicrobial stewardship interventions. Interventions should aim to increase surgeon engagement, enhance the prioritisation of and accountability for SAP, and address the underlying social factors involved in SAP decision-making, such as professional hierarchy and varied perceptions or risks and fears.
The Effect of Object Compliance on the Velvet Hand Illusion

Movement of a grid of bars between the two hands creates the tactile illusion of a velvet-like material, namely, the velvet hand illusion (VHI). It was recently proposed that the VHI is caused by a masking effect; bar movement suppresses conscious perception of tactile inputs from the opposing hand. If this hypothesis sufficiently explains the VHI, the physical properties of the opposing hand should not affect the illusion. Another hypothesis suggests that the integration of inputs from the grid of bars and the hands plays a critical role in the VHI. To compare these two hypotheses, the VHI was elicited under two conditions; the grid of bars was between one hand and a soft texture or the grid of bars was between one hand and a hard texture. A hand was stimulated by moving bars while contacting the stationary texture held by the opposing hand. The grid of bars with the soft texture induced a stronger illusion and softer feeling than that with the hard texture. This result supports the integration hypothesis in which tactile inputs from both bars and textures attached to the opposing hand are integrated.
ADMINISTRAÇÃO SUBCUTÂNEA DE BORTEZOMIB: EVOLUÇÃO NO TRATAMENTO DO MIELOMA MÚLTIPLO - A EXPERIÊNCIA DO HFF SUBCUTANEOUS ADMINISTRATION OF BORTEZOMIB: DEVELOPMENTS IN TREATMENT OF MULTIPLE MYELOMA - THE EXPERIENCE OF THE HFF

Introducao: O Mieloma Multiplo representa 1% das neoplasias malignas humanas. Na ultima decada as novas terapeuticas tiveram relevante impacto no aumento da sobrevivencia. O bortezomib constitui uma das novas opcoes de tratamento, no entanto as neuropatias constituem as toxicidades limitantes de dose e podem impedir a optimizacao dos resultados. A administracao subcutânea (SC) de bortezomib, foi aprovada pela European Medicines Agency (EMA) em Setembro de 2012 e constitui uma das estrategias para reduzir a incidencia de neuropatias (NP) em relacao a administracao endovenosa tradicional. E usado no Hospital Fernando Fonseca (HFF) desde Fevereiro de 2012 apos aprovacao institucional. Material e Metodos: Estudo retrospectivo comparativo, unicentrico, apos revisao do processo clinico de 43 doentes, 28 tratados com bortezomib endovenoso (EV) e 21 com bortezomib SC, em 6 comutou-se para bortezomib SC. Administradas 497 inoculacoes. A administracao foi protocolada: tecnica de preparacao do inoculo, modo de administracao, registo individualizado, monitorizacao e intervencao precoce em reaccoes acessorias (RA). Avaliou-se a seguranca: RA em relacao com tecnica de administracao e RA sistemicas associadas a toxicidade aguda ou cumulativa. Resultados: Analise de seguranca em 497 inoculacoes de bortezomib SC, realizadas em 21 doentes em 18 meses consecutivos. Feita analise comparada com o historico para o bortezomib EV. Identificadas como RA locais rash maculo-eritematoso no local do inoculo, com regressao em 95% dos casos ate as 72h, em nenhum caso associado a sintomas constitucionais. Em relacao a ocorrencia de neuropatias para bortezomib SC versus (vs) EV, constatou-se ausencia de NP em 80% vs 19%, NP sensitiva grau 1-2 em 19 vs 62%, NP motora em 0 vs 12%, NP autonomica em 9,5% vs 18%. Ocorreu reducao de dose e suspensao em 12 e 31% vs 0 e 0% respectivamente para bortezomib SC e bortezomib EV. Conclusoes: O bortezomib SC preserva a eficacia com reducao da incidencia e gravidade das neuropatias limitantes de dose e boa tolerabilidade local. Nao ocorreu suspensao por motivos iatrogenicos. A preparacao e inoculacao e exequivel a partir da formulacao parenterica EV, permitindo atingir doses cumulativas superiores, optimizando a eficacia e constituindo uma opcao valida na gestao das neuropatias limitantes de dose.
Detection of Land Use Type Using Multitemporal SAR Images

This paper studies the applicability of multi-temporal synthetic aperture radar (SAR) images in detecting urban land use types change. In this paper, the study area is 128×358 pixels covers Shuangliu International Airport, Chengdu, China. Nine scenes of ALOS-PALSAR HV images from July 2007 to October 2010 were collected. the logarithmic ratio operator was used to generate the intensity and texture feature difference images. Texture features were extracted by the gray level co-occurrence matrix (GLCM). Then the redundant difference information was compressed by PCA transformation. The index of dynamic change image was generated to represent the change in land use type in Chengdu Shuangliu International Airport.
Effects of Neuromuscular Blockages on Entropy Monitoring During Sevoflurane Anesthesia

Background There are no data available on the effects of different degrees of neuromuscular blockade on spectral entropy during sevoflurane anesthesia. This study aimed to observe the effects of different degrees of neuromuscular blockade on state and response entropy during sevoflurane anesthesia. Material/Methods Eighty-one female patients were randomized to 9 groups (n=9 per group) according to the concentration of sevoflurane and degree of neuromuscular blockade. Response and state entropy were monitored. The endpoints were: 1) impact of neuromuscular blockade on state entropy and response entropy, and the difference between response entropy and state entropy; and 2) the response of entropy after cutaneous tetanic electrical noxious stimulation to the ulnar nerve under different degrees of neuromuscular blockade and concentrations of sevoflurane. Results These were no significant differences in response entropy or state entropy, or differences between response entropy and state entropy among the groups in the awake state (P>0.05). Without noxious stimulation, sevoflurane concentrations and neuromuscular blockade had no significant effects on response entropy or state entropy, or on the difference between response entropy and state entropy (all P>0.05), but sevoflurane concentrations showed a significant effect on state entropy (P<0.05). After noxious stimulation, sevoflurane concentrations and neuromuscular blockade had significant effects on response entropy and state entropy, and on the difference between response entropy and state entropy. Conclusions Response entropy and state entropy decreased with increasing sevoflurane concentration. Neuromuscular blockade did not affect entropy without noxious stimulation. With stimulation, muscle relaxants significantly reduced the changes in entropy, and there were significant effects of neuromuscular blockade and sevoflurane on entropy.
Miniaturized dual band aperture coupled patch antenna for remote sensing satellites

A novel design of dual band right hand circularly polarized antenna for satellite navigation receivers is presented. The design employs concept of aperture coupling through a crossed slot in the ground plane. Two patches which are stacked one above the other are excited through this slot. Return loss better than 15dB with a peak gain of 6.82dBi/7.95dBi and gain of -5dBi at ±70º is achieved at 1.17645GHz/1.57542GHz. In addition, miniaturization of feed network is carried out to reduce the overall size of the antenna without degrading the antenna electrical performance.
The Effect of Transmembrane Protein Shape on Surrounding Lipid Domain Formation by Wetting

Signal transduction through cellular membranes requires the highly specific and coordinated work of specialized proteins. Proper functioning of these proteins is provided by an interplay between them and the lipid environment. Liquid-ordered lipid domains are believed to be important players here, however, it is still unclear whether conditions for a phase separation required for lipid domain formation exist in cellular membranes. Moreover, membrane leaflets are compositionally asymmetric, that could be an obstacle for the formation of symmetric domains spanning the lipid bilayer. We theoretically show that the presence of protein in the membrane leads to the formation of a stable liquid-ordered lipid phase around it by the mechanism of protein wetting by lipids, even in the absence of conditions necessary for the global phase separation in the membrane. Moreover, we show that protein shape plays a crucial role in this process, and protein conformational rearrangement can lead to changes in the size and characteristics of surrounding lipid domains.
High prevalence of Schistosoma haematobium × Schistosoma bovis hybrids in schoolchildren in Côte d'Ivoire

Abstract Schistosomiasis is a neglected tropical disease, though it is highly prevalent in many parts of sub-Saharan Africa. While Schistosoma haematobium-bovis hybrids have been reported in West Africa, no data about Schistosoma hybrids in humans are available from Côte d'Ivoire. This study aimed to identify and quantify S. haematobium-bovis hybrids among schoolchildren in four localities of Côte d'Ivoire. Urine samples were collected and examined by filtration to detect Schistosoma eggs. Eggs were hatched and 503 miracidia were individually collected and stored on Whatman® FTA cards for molecular analysis. Individual miracidia were molecularly characterized by analysis of mitochondrial cox1 and nuclear internal transcribed spacer 2 (ITS 2) DNA regions. A mitochondrial cox1-based diagnostic polymerase chain reaction was performed on 459 miracidia, with 239 (52.1%) exhibiting the typical band for S. haematobium and 220 (47.9%) the S. bovis band. The cox1 and ITS 2 amplicons were Sanger sequenced from 40 randomly selected miracidia to confirm species and hybrids status. Among the 33 cox1 sequences analysed, we identified 15 S. haematobium sequences (45.5%) belonging to seven haplotypes and 18 S. bovis sequences (54.5%) belonging to 12 haplotypes. Of 40 ITS 2 sequences analysed, 31 (77.5%) were assigned to pure S. haematobium, four (10.0%) to pure S. bovis and five (12.5%) to S. haematobium-bovis hybrids. Our findings suggest that S. haematobium-bovis hybrids are common in Côte d'Ivoire. Hence, intense prospection of domestic and wild animals is warranted to determine whether zoonotic transmission occurs.
Spatio-Temporal Subsidence Estimation of Jharia Coal Field, India Using SBAS-Dinsar with Cosmo-Skymed Data

Small Baseline Subset (SBAS) technique is one of most accurate methods in Differential SAR interferometry (DInSAR) to estimate the surface deformation. In this paper, this technique has been applied on 23 X-band COSMO-SKyMed (CSK) datasets during 2011 – 2016 to get the annual subsidence rate over Jharia Coal Field (JCF), India. Validation of the subsidence result with ground water level data strongly indicates the predominant underground coal mining induced surface deformation over Jharia area.
Passive Bistatic Sar Imaging and Interferometry by Using Satellite Digital TV Signal

In this study, we used the digital television signal broadcasted by geostationary satellite for passive bistatic synthetic aperture radar (SAR) imaging and interferometry applications. A prototype system was designed and fabricated with commercial-off-the-shelf (COTS) components. Specifically, three COTS low noise block downconverters (LNBs) were synchronized for a longtime coherent measurement. Multiple TV channels were combined to achieve a wider bandwidth to improve the range resolution. The potential applications of this ground-based radar system are SAR imaging, displacement estimation, and digital elevation model generation. Hardware design and data processing algorithms are described. Experimental results are presented to validate the performance of the designed system and the proposed methods.
Influence of Electronic Cigarettes on Selected Antibacterial Properties of Saliva

The aim of this study was to estimate changes in selected physicochemical properties of saliva collected from users of electronic cigarettes. Methods: The study population consisted of 120 patients (40 users of electronic cigarettes, 40 smokers of traditional cigarettes and 40 non-smokers). Laboratory tests included verification of saliva amount of lysozyme, lactoferrin and IgA. Results: Among e-cigarette users, statistically significant differences were observed in values of lysozyme and lactoferrin; however, no statistically significant differences for the IgA value were found. In the group of traditional cigarette smokers, statistically significant differences were observed among all tested parameters in relation to the control group. In relation to IgA, statistically significant differences were found between e-cigarette users and traditional cigarette smokers, to the disadvantage of the latter. Conclusion: Saliva of e-cigarette users showed changes of antibacterial properties in comparison to the control group and traditional cigarette smokers. Further longitudinal studies on larger study groups should be conducted in order to assess the effect of observed changes in the antibacterial properties of saliva on oral health.
Non-fuzzy Interferometric Phase estimation method Based on Deep Learning

The residues have brought great difficulties to phase unwrapping. Conventional interferometric synthetic aperture radar (InSAR) processing suppresses residues by phase filtering. However, residues in layover areas cannot be removed well and will cause new incorrectness. In this paper, deep learning technology is introduced to InSAR processing. Firstly, the modified Fully Convolutional Network (FCN) is used to segment the layover from the normal pixels. Then, the Denoising Convolutional Neural Network (DnCNN) is modified to estimate the phase noise in normal pixels and remove it from the interferogram. Finally, the denoised phase in non-layover regions is unwrapped. Both simulation and real data experiments have verified that the proposed algorithm can effectively avoid the error propagation of residues and layovers, significantly improving the precision of phase unwrapping.
Inspection Trajectory Planning for 3D Structures under a Mixed-Integer Framework

This paper extends our previous work on constrained trajectory generation for UAVs (Unmanned Aerial Vehicles) with the task of fully covering an a priori known 3D structure. The novelty resides in the geometrical approach we adopt to describe sufficient coverage constraints in a mixed-integer formulation. The combined use of hyperplane arrangement, cell merging procedures and mixed-integer formulations provides feasible “viewpoint” regions through which the trajectory has to pass. The selected viewpoints with their corresponding feasible cells allow the vehicle to fully cover the 3D structure. The tools used and the results obtained are exemplified over a particular quadcopter system.
Ground Truth Simulation for Deep Learning Classification of Mid-Resolution Venus Images Via Unmixing of High-Resolution Hyperspectral Fenix Data

Training a deep neural network for classification constitutes a major problem in remote sensing due to the lack of adequate field data. Acquiring high-resolution ground truth (GT) by human interpretation is both cost-ineffective and inconsistent. We propose, instead, to utilize high-resolution, hyperspectral images for solving this problem, by unmixing these images to obtain reliable GT for training a deep network. Specifically, we simulate GT from high-resolution, hyperspectral FENIX images, and use it for training a convolutional neural network (CNN) for pixel-based classification. We show how the model can be transferred successfully to classify new mid-resolution VENμS imagery.
Notch4 activation aggravates NF-κB-mediated inflammation in HIV-1-associated nephropathy

ABSTRACT Notch pathway activation plays a central role in the pathogenesis of many glomerular diseases. We have previously shown that Notch4 expression was upregulated in various renal cells in human immunodeficiency virus (HIV)-associated nephropathy (HIVAN) patients and rodent models of HIVAN. In this study, we examined whether the Notch pathway can be distinctly activated by HIV-1 gene products and whether Notch4, in particular, can influence disease progression. Using luciferase reporter assays, we did not observe activation of the NOTCH4 promoter with the HIV protein Nef in podocytes. Further, we observed upregulated expression of a gamma secretase complex protein, presenilin 1, but not Notch4, in podocytes infected with an HIV-1 expression construct. To assess the effects of Notch4 on HIVAN disease progression, we engineered Tg26 mice with global deletion of the Notch4 intracellular domain (Notch4dl), which is required for signaling function. These mice (Notch4d1/Tg26+) showed a significant improvement in renal function and a significant decrease in mortality compared to Tg26 mice. Histological examination of kidneys showed that Notch4d1/Tg26+ mice had overall glomerular, tubulointerstitial injury and a marked decrease in interstitial inflammation. A significant decrease in the proliferating cells was observed in the tubulointerstitial compartments of Notch4d1/Tg26+ mice. Consistent with the diminished inflammation, kidneys from Notch4d1/Tg26+ mice also showed a significant decrease in expression of the inflammatory cytokine transcripts Il-6 and Ccl2, as well as the master inflammatory transcription factor NF-κB (Nfkb1 transcripts and p65 protein). These data identify Notch4 as an important mediator of tubulointerstitial injury and inflammation in HIVAN and a potential therapeutic target. Summary: Notch4 activation contributes to the inflammation seen in HIV-associated nephropathy (HIVAN), and inhibition of Notch4 ameliorates inflammation and prolongs life in a mouse model of HIVAN.
Towards Automated Delineation of Smallholder Farm Fields From VHR Images Using Convolutional Networks

Automated delineation of smallholder farm fields is difficult because of their small size, irregular shape and the use of mixed-cropping systems. Edges between smallholder plots are often indistinct in satellite imagery and contours have to be identified by considering the transition of the complex textural patterns of the fields. We introduce a strategy to delineate field boundaries using a fully convolutional network in combination with a globalization and grouping algorithm to produce a hierarchical segmentation of the fields. We carry out an experimental analysis in a study area in Kofa, Nigeria, using a WorldView-3 image, comparing several state-of-the-art contour detection algorithms. The proposed strategy outperforms state-of-the-art computer vision methods and shows promising results by automatically delineating field boundaries with an accuracy close to human level photo-interpretation.
Row Guidance Approach for Navigation of Semi-Autonomous Agriculture Wheel Robot

Nowadays we can see that farmers are facing many problem to cultivate their crops. Especially during summer season, farmers are unable to judge the climatic conditions and there is scarce water supply too. So due to this, many crops gets spoiled. More man power is required to cultivate the land. So for that, we are implementing a project which will plough, seed water and level the crops and also to reduce human effort. It is designed to minimize the labour of farmers; in addition to that increase in the speed and accuracy of the work. We use camera in this system for monitoring and checking the maturity of crop using image processing. So that can harvest the crop at right time to increase the yield.