Miracle-dz/UniFAR-FTUs huggingface dataset:
Research and Software Implementation of Phase Coded Signal Processing in Tracking and Instrumentation Radar

In order to solve the phase-coded signal Doppler sensitive problem, the Doppler search algorithm based on frequency domain is often used. However, in tracking and measuring radar, the traditional algorithm is difficult to meet the requirements due to the requirement of target measurement accuracy and real-time signal processing. This paper focuses on the 13 bit Barker code signal, based on the analysis of the characteristics of the Barker code signal, completes the high precision Doppler compensation of the single pulse signal under the CPU+GPU software platform using a Doppler compensation algorithm based on time-domain. At the same time, combined with classical tracking radar algorithm, effectively improve the real-time signal processing. Completed the phase code on the target of precision measurement and tracking.
Abscisic Acid Regulates Anthocyanin Biosynthesis and Gene Expression Associated With Cell Wall Modification in Ripening Bilberry (Vaccinium myrtillus L.) Fruits

Ripening of non-climacteric bilberry (Vaccinium myrtillus L.) fruit is characterized by a high accumulation of health-beneficial anthocyanins. Plant hormone abscisic acid (ABA) and sucrose have been shown to be among the central signaling molecules coordinating non-climacteric fruit ripening and anthocyanin accumulation in some fruits such as strawberry. Our earlier studies have demonstrated an elevation in endogenous ABA level in bilberry fruit at the onset of ripening indicating a role for ABA in the regulation of bilberry fruit ripening. In the present study, we show that the treatment of unripe green bilberry fruits with exogenous ABA significantly promotes anthocyanin biosynthesis and accumulation both in fruits attached and detached to the plant. In addition, ABA biosynthesis inhibitor, fluridone, delayed anthocyanin accumulation in bilberries. Exogenous ABA also induced the expression of several genes involved in cell wall modification in ripening bilberry fruits. Furthermore, silencing of VmNCED1, the key gene in ABA biosynthesis, was accompanied by the down-regulation in the expression of key anthocyanin biosynthetic genes. In contrast, the treatment of unripe green bilberry fruits with exogenous sucrose or glucose did not lead to an enhancement in the anthocyanin accumulation neither in fruits attached to plant nor in post-harvest fruits. Moreover, sugars failed to induce the expression of genes associated in anthocyanin biosynthesis or ABA biosynthesis while could elevate expression of some genes associated with cell wall modification in post-harvest bilberry fruits. Our results demonstrate that ABA plays a major role in the regulation of ripening-related processes such as anthocyanin biosynthesis and cell wall modification in bilberry fruit, whereas sugars seem to have minor regulatory roles in the processes. The results indicate that the regulation of bilberry fruit ripening differs from strawberry that is currently considered as a model of non-climacteric fruit ripening. In this study, we also identified transcription factors, which expression was enhanced by ABA, as potential regulators of ABA-mediated bilberry fruit ripening processes.
User Scheduling in Massive MIMO

Massive MIMO relies on nearly orthogonal user channels to achieve unprecedented spectral efficiency. But in LoS (line-of-sight) environment, some users can be subjected to similar channel vectors. Serving users with similar channel vectors simultaneously can severely compromise the throughput performance to all users. We propose a scheduler that identifies users with similar channels and serves them in separate time slots with properly assigned data rates, while aiming to provide fair service to all users and maximize the system spectral efficiency at the same time. Simulation results show the effectiveness of the scheduler on both downlink and uplink of a single cell Massive MIMO with MR (maximum ratio) processing or ZF (zero-forcing) processing, and that channel correlation threshold for scheduling users is an important design parameter that can be fine-tuned to optimize the user throughput performance.
How immunological profile drives clinical phenotype of primary Sjögren's syndrome at diagnosis: analysis of 10,500 patients (Sjögren Big Data Project).

OBJECTIVES To evaluate the influence of the main immunological markers on the disease phenotype at diagnosis in a large international cohort of patients with primary Sjögren's syndrome (SjS). METHODS The Big Data Sjögren Project Consortium is an international, multicentre registry created in 2014. As a first step, baseline clinical information from leading centres on clinical research in SjS of the 5 continents was collected. The centres shared a harmonised data architecture and conducted cooperative online efforts in order to refine collected data under the coordination of a big data statistical team. Inclusion criteria were the fulfillment of the 2002 classification criteria. Immunological tests were carried out using standard commercial assays. RESULTS By January 2018, the participant centres had included 10,500 valid patients from 22 countries. The cohort included 9,806 (93%) women and 694 (7%) men, with a mean age at diagnosis of primary SjS of 53 years, mainly White (78%) and included from European countries (71%). The frequency of positive immunological markers at diagnosis was 79.3% for ANA, 73.2% for anti-Ro, 48.6% for RF, 45.1% for anti- La, 13.4% for low C3 levels, 14.5% for low C4 levels and 7.3% for cryoglobulins. Positive autoantibodies (ANA, Ro, La) correlated with a positive result in salivary gland biopsy, while hypocomplementaemia and especially cryoglo-bulinaemia correlated with systemic activity (mean ESSDAI score of 17.7 for cryoglobulins, 11.3 for low C3 and 9.2 for low C4, in comparison with 3.8 for negative markers). The immunological markers with a great number of statistically-significant associations (p<0.001) in the organ-by-organ ESS- DAI evaluation were cryoglobulins (9 domains), low C3 (8 domains), anti-La (7 domains) and low C4 (6 domains). CONCLUSIONS We confirm the strong influence of immunological markers on the phenotype of primary SjS at diagnosis in the largest multi-ethnic international cohort ever analysed, with a greater influence for cryoglobulinaemic-related markers in comparison with Ro/La autoantibodies and ANA. Immunological patterns play a central role in the phenotypic expression of the disease already at the time of diagnosis, and may guide physicians to design a specific personalised management during the follow-up of patients with primary SjS.
SAR and Optical Image Registration Using Nonlinear Diffusion and Phase Congruency Structural Descriptor

The registration of synthetic aperture radar (SAR) and optical images is a challenging task due to the potential nonlinear intensity differences between the two images. In this paper, a novel image registration method, which combines nonlinear diffusion and phase congruency structural descriptor (PCSD), is proposed for the registration of SAR and optical images. First, to reduce the influence of speckle noise on feature extraction, a uniform nonlinear diffusion-based Harris (UND-Harris) feature extraction method is designed. The UND-Harris detector is developed based on nonlinear diffusion, feature proportion, and block strategy, and explores many more well-distributed feature points with potential of being correctly matched. Then, according to the property that structural features are less sensitive to modality variation, a novel structural descriptor, namely, the PCSD, is constructed to robustly describe the attributes of the extracted points. The proposed PCSD is built on a PC structural image in a grouping manner, which effectively increases the discriminability and robustness of the final structural descriptor. Experimental results conducted on SAR and optical image pairs demonstrate that the proposed method is more robust against speckle noise and nonlinear intensity differences and improves the registration accuracy effectively.
Probucol prevents blood–brain barrier dysfunction and cognitive decline in mice maintained on pro-diabetic diet

An emerging body of evidence consistently suggests that compromised blood–brain barrier integrity may be causally associated with cognitive decline induced by type-2 diabetes. Our previous studies demonstrated that selected anti-inflammatory/anti-oxidative agents can preserve the integrity of blood–brain barrier and prevent neuroinflammation in mouse models of dysfunctional blood–brain barrier. Therefore, we have tested whether the previously proven blood–brain barrier protective agent, probucol, can prevent blood–brain barrier breakdown and cognitive decline in a dietary-induced murine model of diabetic insulin resistance. After 6-month chronic ingestion of a diet high in fat and fructose, the mice became insulin resistant. The high-fat and high-fructose-fed mice showed significant cognitive decline assessed by Morris water maze, concomitant with significant elevations in cortical and hippocampal glial acidic fibrillary protein and Fluoro Jade-C staining, indicating heightened neuroinflammation and neurodegeneration, respectively. The integrity of blood–brain barrier in high-fat and high-fructose-fed mice was substantially compromised, and this showed a significant association with heightened neurodegeneration. Co-provision of probucol with high-fat and high-fructose diet completely prevented the cognitive decline and blood–brain barrier dysfunction. Similarly, metformin was able to restore the cognitive function in high-fat and high-fructose-fed mice, while its blood–brain barrier protective effects were modest. These data suggest that probucol may prevent cognitive decline induced by insulin resistance by preserving the integrity of blood–brain barrier, whereas metformin’s neuroprotective effects may be mediated through a separate pathway.
Shift Invariance and Deformation Error Properties of Deep Convolutional Neural Networks Based on Wavelets

An important step towards a mathematical theory of deep convolutional neural networks (DCNNs) was achieved by investigating so-called scattering networks. For scattering networks, a deformation error stability bound has been established. It remained an open question for which functions in L2 (R d) the bound actually is finite. For practical applications, it is further relevant to know whether the deformation error can be controlled for a “large” set of functions or only for a “small” set. Recently, there has been progress regarding the mathematical understanding of scattering networks and new decay bounds on the energy per network layer were discovered. We show how these bounds can be used to control the deformation error by constructing an upper bound on the existing deformation error bounds. The structure of the new deformation error bound is less complex and allows us to conduct a qualitative mathematical analysis using the functional analytic tool of Baire categories and determine the “size” of the set of functions for which finiteness holds. Our results reveal that the new bound is finite only on a set of first Baire category (meager set). In addition, our investigations focus on shift invariance which is an important property for many signal processing applications. We study the deformation error bounds for shift-invariant closed subspace of L2R) as input for DCNNs. This turns out to be closely related to the Paley-Wiener spaces of bandlimited functions.
The copper-deprivation stimulon of Corynebacterium glutamicum comprises proteins for biogenesis of the actinobacterial cytochrome bc1–aa3 supercomplex

Aerobic respiration in Corynebacterium glutamicum involves a cytochrome bc1–aa3 supercomplex with a diheme cytochrome c1, which is the only c-type cytochrome in this species. This organization is considered as typical for aerobic Actinobacteria. Whereas the biogenesis of heme–copper type oxidases like cytochrome aa3 has been studied extensively in α-proteobacteria, yeast, and mammals, nothing is known about this process in Actinobacteria. Here, we searched for assembly proteins of the supercomplex by identifying the copper-deprivation stimulon, which might include proteins that insert copper into cytochrome aa3. Using gene expression profiling, we found two copper starvation–induced proteins for supercomplex formation. The Cg2699 protein, named CtiP, contained 16 predicted transmembrane helices, and its sequence was similar to that of the copper importer CopD of Pseudomonas syringae in the N-terminal half and to the cytochrome oxidase maturation protein CtaG of Bacillus subtilis in its C-terminal half. CtiP deletion caused a growth defect similar to that produced by deletion of subunit I of cytochrome aa3, increased copper tolerance, triggered expression of the copper-deprivation stimulon under copper sufficiency, and prevented co-purification of the supercomplex subunits. The secreted Cg1884 protein, named CopC, had a C-terminal transmembrane helix and contained a Cu(II)-binding motif. Its absence caused a conditional growth defect, increased copper tolerance, and also prevented co-purification of the supercomplex subunits. CtiP and CopC are conserved among aerobic Actinobacteria, and we propose a model of their functions in cytochrome aa3 biogenesis. Furthermore, we found that the copper-deprivation response involves additional regulators besides the ECF sigma factor SigC.
A Rare Case of Spontaneous Cardiac Tamponade Induced by Concomitant Use of Rivaroxaban and Amiodarone

Rivaroxaban is a direct oral anticoagulant (DOAC) approved as an important alternative to warfarin in patients with nonvalvular atrial fibrillation. We report the case of an 87-year-old man with past medical history of nonvalvular atrial fibrillation on rivaroxaban and recently started amiodarone for pulseless ventricular tachycardia who presented to our hospital with intermittent chest pain and was diagnosed with spontaneous hemopericardium causing cardiac tamponade. The culprit drugs were discontinued, and the patient was treated with emergent pericardiocentesis. Both rivaroxaban and amiodarone are substrates for the CYP3A4 hepatic pathway, and concomitant use can result in increased plasma rivaroxaban levels causing an increased propensity to bleeding. While most physicians are cognizant of the need for renal dosing of rivaroxaban, this article aims to increase awareness of its interactions with drugs that are also metabolized through the same hepatic CYP450 pathway.
Silodosin versus tamsulosin for medical expulsive treatment of ureteral stones: A systematic review and meta-analysis

Silodosin, a recently introduced selective α-blocker, has a much higher selectivity for the α-1A receptor. The efficacy and safety of silodosin compared to tamsulosin in medical expulsive therapy (MET) are controversial. The objective of this study was to assess the efficacy and safety of silodosin compared to tamsulosin for treating ureteral stones <10 mm in diameter. We systematically searched the PubMed, EMBASE, Cochrane library, and Scopus databases from their inception to May 2018. We included randomized controlled studies (RCTs) and observational studies, which investigated stone expulsion rates using silodosin compared to tamsulosin. Data were synthesized using a random-effects model. Sixteen studies with 1824 patients were eligible for inclusion. Silodosin achieved significantly higher expulsion rates than tamsulosin (pooled risk difference (RD): 0.13, 95% confidence interval (CI): 0.09 to 0.18, GRADE: high). A subgroup analyses showed that silodosin has a significantly higher expulsion rate on stone sizes of 5–10 mm than tamsulosin (pooled RD: 0.14, 95% CI: 0.06 to 0.22, I2 = 0%). The superior effect was not observed on stone sizes <5 mm. A multivariate regression showed that the RD was negatively associated with the control expulsion rate after adjusting for age and gender (coefficient -0.658, p = 0.01). A sensitivity analysis showed that our findings were robust. Patients receiving silodosin also probably had a significantly shorter expulsion time (pooled mean difference (MD): -2.55 days, 95% CI: -4.06 to -1.04, I2 = 85%, GRADE: moderate) and may have fewer pain episodes (pooled MD: -0.3, 95% CI: -0.51 to -0.09, GRADE: low) but a higher incidence of retrograde ejaculation by 5% compared to those receiving tamsulosin. In conclusion, compared to tamsulosin, silodosin provided significantly better stone passage for patients with ureteral stones (particularly for sizes of 5~10 mm), shorter expulsion times, and fewer pain episodes but caused a higher incidence of retrograde ejaculation.
Object Recognition and Augmentation for Wearable-Assistive System Using Egocentric RGB-D Sensor

The importance of Wearable Assistive System (WAS) has become obvious as typical maintenance and assembly tasks are increasingly complex and flexible in industrial situations, especially when the tasks are casual and unfamiliar to workers. In this paper an egocentric RGB-D sensor-based prototype WAS is presented. The considerable advance of the proposed system is a learning-based object recognition and augmentation framework, which allows the system to be applied to various domains. To guide the worker with a WAS toward the target machine, a real-time coarse object recognition algorithm is proposed and implemented. A Binarized Normed Gradients (BING) feature-based objectness estimator and a Local Binary Pattern (LBP) feature-based object classifier are combined in a hierarchical structure. To show the virtual guidance, a 3D object model alignment module is implemented that infers the 3D object pose using Sample Consensus Initial Alignment (SAC-IA) with Fast Point Feature Histogram (FPFH) features. Experiments are conducted for investigating the feasibility of wearable-assistive machine maintenance, in which user instruction and augmented 3D object models are provided.
Application of Huygens’ Principle for the Fast Calculation of Field Penetration Through Aperture Arrays

Aperture arrays appear in many technical applications and can have a significant influence on the electromagnetic compatibility of a device. In this contribution, a method-of-moments approach is presented, which efficiently calculates the field coupling through aperture arrays into casings. This is accomplished by using the Huygens’ principle, which utilizes equivalent currents on a Huygens’ surface to excite the internal region of a cavity.
Primary sinonasal lymphoma in immunocompetent patients: A 10 years retrospective clinicopathological study

Introduction: Sinonasal tumors occur in the nasal cavity or paranasal sinuses (PNS). These tumors are rare and lymphomas are even rarer. Lymphoma of the nose and PNS may mimic benign processes and may manifest either in an isolated fashion or in conjunction with systemic diseases. B-cell lymphomas, a more favorable diagnosis, account for the majority of cases, whereas T-cell and extranodal natural killer lymphoma are associated with rapid disease progression and death. Materials and Methods: All patients with sinonasal lymphomas who were nonreactive for HIV and were operated and treated in our hospital from 2006 to 2016 were included in the study. Histopathological diagnosis and immunohistochemistry using a panel of antibodies (CK, CD99, CD 15, CD30, CD45, Bcl 2, anaplastic lymphoma kinase-1, CD 16, CD 57 and ki-67) were reviewed and recorded. Results: Out of 153 malignant sinonasal tumors, 18 were diagnosed with lymphoma. Non-Hodgkins lymphoma constituted 88.8% of cases with the most common subtype being diffuse large B-cell lymphoma (n = 12, 66.6%). Maxillary sinus was the most frequently involved site (62%). The average age of presentation was 52 years with a slight male predominance. Computed tomography and magnetic resonance imaging scans were done in virtually all cases to assess the extent of the tumor as well as bony destruction. Average 5-year survival was 50%. Local recurrence was the most frequent cause of treatment failure. Conclusion: Malignant lymphomas constituted 11.7% of all malignancies of PNS. The association of diffuse large B-cell tumors with obstructive nasal mass and T-cell tumors with septal perforation, orbital extension and ophthalmological symptoms were more commonly seen.
Optimal oncologic management and mTOR inhibitor introduction are safe and improve survival in kidney and liver allograft recipients with de novo carcinoma

Prognosis and oncologic treatment feasibility in solid organ transplant patients with de novo cancer remain poorly described. We investigated the impact of immunosuppressive therapy modifications after de novo cancer diagnosis on oncologic treatment feasibility, toxicities, and prognosis. Patients with de novo cancer (excluding nonmelanoma skin cancers) were selected from a monocentric cohort of 4,637 kidney and liver allograft recipients. We assessed oncologic treatment optimality according to guidelines and analyzed immunosuppressive drug modifications and oncologic treatment impacts on treatment feasibility, toxicities, and graft/patient survivals. A total of 180 patients with 205 cancers were included: mean age 60 years, median delay from transplantation to first de novo cancer 5 years. In 46% of cases, immunosuppressive therapy was modified after cancer diagnosis: 24% dose reduction and 22% mTOR inhibitor introduction. Optimal oncologic treatment was performed in 80% and 38% of patients with localized and advanced cancer respectively. Transplantation and immunosuppression hindered optimal oncologic treatment in 11% instances. Immunosuppressive therapy modifications did not affect oncologic treatment tolerance nor graft survival. In multivariate analysis, optimal oncologic treatment and mTOR inhibitor introduction improved survival of patients with de novo carcinoma. Optimal oncologic treatment is feasible in kidney and liver allograft recipients without safety concerns. Optimal oncologic treatment and mTOR inhibitor introduction seem to markedly improve survival of patients with de novo carcinoma.
A Short Note on Collecting Dependently Typed Values

Within dependently typed languages, such as Idris, types can depend on values. This dependency, however, can limit the collection of items in standard containers: all elements must have the same type, and as such their types must contain the same values. We present two dependently typed data structures for collecting dependent types: \texttt{DList} and \texttt{PList}. Use of these new data structures allow for the creation of single succinct inductive ADT whose constructions were previously verbose and split across many data structures.
Gene Therapy in Mouse Models of Deafness and Balance Dysfunction

Therapeutic strategies to restore hearing and balance in mouse models of inner ear disease aim to rescue sensory function by gene replacement, augmentation, knock down or knock out. Modalities to achieve therapeutic effects have utilized virus-mediated transfer of wild type genes and small interfering ribonucleic acids; systemic and focal administration of antisense oligonucleotides (ASO) and designer small molecules; and lipid-mediated transfer of Cas 9 ribonucleoprotein (RNP) complexes. This work has established that gene or drug administration to the structurally and functionally immature, early neonatal mouse inner ear prior to hearing onset is a prerequisite for the most robust therapeutic responses. These observations may have significant implications for translating mouse inner ear gene therapies to patients. The human fetus hears by gestational week 19, suggesting that a corollary window of therapeutic efficacy closes early in the second trimester of pregnancy. We hypothesize that fetal therapeutics deployed prior to hearing onset may be the most effective approach to preemptively manage genetic mutations that cause deafness and vestibular dysfunction. We assert that gene therapy studies in higher vertebrate model systems with fetal hearing onset and a comparable acoustic range and sensitivity to that of humans are an essential step to safely and effectively translate murine gene therapies to the clinic.