Miracle-dz/UniFAR-FTUs huggingface dataset:
Wide Voltage Input Full bridge(FB)/Half bridge(HB) Morphing Based LLC DC-DC Converter Using Numerical Optimal Trajectory Control

Full bridge(FB)/Half bridge(HB) morphing topology is very suitable to be used in wide input voltage range for a LLC DC-DC converter. To improve the dynamic performance in facing the input voltage variation, a numerical optimal trajectory control is presented. The power circuit considering its parasitic parameters are simulated first and the simulated data can be stored in DPS memory. These discrete data can be used to obtain the accurate gain-frequency curve versus different loads by numerical methods. The proposed numerical OTC can achieve very fast and smooth transition between FB/HB in facing the input voltage variation. A 640W 220-760V input/400V output LLC resonant converter is built. The effectiveness of the proposed NOTC has been verified by the simulation and experimental results.
Extracellular Vesicle-Based Bronchoalveolar Lavage Fluid Liquid Biopsy for EGFR Mutation Testing in Advanced Non-Squamous NSCLC

Simple Summary Tissue biopsy is the gold standard for molecular genotyping in lung cancer. However, obtaining tumor tissue is challenging due to its invasiveness, inadequate amount of tissue, or complications. To overcome the limitations of tissue biopsy, plasma liquid biopsy using cfDNA has been investigated extensively; however, its low sensitivity limits the clinical application. Therefore, we used the tumor-specific DNA of extracellular vesicles (EVs) in bronchoalveolar lavage fluid (BALF) as DNA source for EGFR genotyping. As a result, we demonstrated that EV-based BALF EGFR testing in advanced lung NSCLC is a highly accurate rapid method overcoming low sensitivity of plasma cfDNA-based EGFR genotyping. It can be used as an adjuvant or alternative method for lung biopsy in cases where obtaining an adequate amount of tissue is difficult. Abstract To overcome the limitations of the tissue biopsy and plasma cfDNA liquid biopsy, we performed the EV-based BALF liquid biopsy of 224 newly diagnosed stage III-IV NSCLC patients and compared it with tissue genotyping and 110 plasma liquid biopsies. Isolation of EVs from BALF was performed by ultracentrifugation. EGFR genotyping was performed through peptide nucleic acid clamping-assisted fluorescence melting curve analysis. Compared with tissue-based genotyping, BALF liquid biopsy demonstrated a sensitivity, specificity, and concordance rates of 97.8%, 96.9%, and 97.7%, respectively. The performance of BALF liquid biopsy was almost identical to that of standard tissue-based genotyping. In contrast, plasma cfDNA-based liquid biopsy (n = 110) demonstrated sensitivity, specificity, and concordance rates of 48.5%, 86.3%, and 63.6%, respectively. The mean turn-around time of BALF liquid biopsy was significantly shorter (2.6 days) than that of tissue-based genotyping (13.9 days; p < 0.001). Therefore, the use of EV-based BALF shortens the time for confirmation of EGFR mutation status for starting EGFR-TKI treatment and can hence potentially improve clinical outcomes. As a result, we suggest that EV-based BALF EGFR testing in advanced lung NSCLC is a highly accurate rapid method and can be used as an alternative method for lung tissue biopsy.
Platelet Distribution Width and Increased D-Dimer at Admission Predicts Subsequent Development of ARDS in COVID-19 Patients

In the current pandemic of coronavirus disease (COVID-19), the identification of the patients admitted with severe infection–who are disposed to a high risk of acute respiratory distress syndrome (ARDS) development, is of a major significance for the determination of the appropriate therapeutic strategy. Laboratory records in admission were retrospectively reviewed from 493 cases of severe COVID-19 divided into two groups: Group 1 with ARDS and Group 2 without ARDS. The platelet distribution width (PDW) difference between Group 1 and Group 2 is significant–15.10 ± 2.08 fl for those who developed ARDS versus 12.94 ± 2.12 fl for those without ARDS. The sensitivity and the specificity of this parameter is lower than that of D-dimer. After grouping of the PDW values into intervals and combining them with the rate of increase in D-dimer (D-PDWf index) to form a forecasting index, a significant increase in the specificity and sensitivity of the two parameters is identified–area under the ROC curve (AUC) is 0.874 for D-PDWf index, with respective AUC for PDW 0.768 and AUC for D-dimer 0.777. Conclusion: PDW is a significant predictive parameter at admission for subsequent development of ARDS in patients, with increased significance in combination with the degree of increase in D-dimer.
Luojia-HSSR: A high spatial-spectral resolution remote sensing dataset for land-cover classification with a new 3D-HRNet

ABSTRACT High Spatial and Spectral Resolution (HSSR) remote-sensing images can provide rich spectral bands and detailed ground information, but there is a relative lack of research on this new type of remote-sensing data. Although there are already some HSSR datasets for deep learning model training and testing, the data volume of these datasets is small, resulting in low classification accuracy and weak generalization ability of the trained models. In this paper, an HSSR dataset Luojia-HSSR is constructed based on aerial hyperspectral imagery of southern Shenyang City of Liaoning Province in China. To our knowledge, it is the largest HSSR dataset to date, with 6438 pairs of 256 × 256 sized samples (including 3480 pairs in the training set, 2209 pairs in the test set, and 749 pairs in the validation set), covering area of 161 km2 with spatial resolution 0.75 m, 249 Visible and Near-Infrared (VNIR) spectral bands, and corresponding to 23 classes of field-validated ground coverage. It is an ideal experimental data for spatial-spectral feature extraction. Furthermore, a new deep learning model 3D-HRNet for interpreting HSSR images is proposed. The conv-neck in HRNet is modified to better mine the spatial information of the images. Then, a 3D convolution module with attention mechanism is designed to capture the global-local fine spectral information simultaneously. Subsequently, the 3D convolution is inserted into the HRNet to optimize the performance. The experiments show that the 3D-HRNet model has good interpreting ability for the Luojia-HSSR dataset with the Frequency Weighted Intersection over Union（FWIoU） reaching 80.54%, indicating that the Luojia-HSSR dataset constructed in this paper and the proposed 3D-HRnet model have good applicable prospects for processing HSSR remote sensing images.
A Bounded Archiver for Hausdorff Approximations of the Pareto Front for Multi-Objective Evolutionary Algorithms

Multi-objective evolutionary algorithms (MOEAs) have been successfully applied for the numerical treatment of multi-objective optimization problems (MOP) during the last three decades. One important task within MOEAs is the archiving (or selection) of the computed candidate solutions, since one can expect that an MOP has infinitely many solutions. We present and analyze in this work ArchiveUpdateHD, which is a bounded archiver that aims for Hausdorff approximations of the Pareto front. We show that the sequence of archives generated by ArchiveUpdateHD yields under certain (mild) assumptions with a probability of one after finitely many steps a Δ+-approximation of the Pareto front, where the value Δ+ is computed by the archiver within the run of the algorithm without any prior knowledge of the Pareto front. The knowledge of this value is of great importance for the decision maker, since it is a measure for the “completeness” of the Pareto front approximation. Numerical results on several well-known academic test problems as well as the usage of ArchiveUpdateHD as an external archiver within three state-of-the-art MOEAs indicate the benefit of the novel strategy.
Lumbar Intervertebral Disc and Discovertebral Segment, Part 1: An Imaging Review of Normal Anatomy

The intervertebral disc is designated the most important cartilaginous articulation of the vertebral column that functions to withstand compressive biomechanical forces and confer strength and flexibility to the spine. A thorough study of the complex fine structure and anatomic relationships of the intervertebral disc is essential for the characterization of the integrity of each individual structure in the discovertebral segment. This elaborate work in human cadavers explores the sophisticated internal structure of the normal intervertebral disc and the discovertebral segment, providing detailed data derived from the dissection of specimens through imaging and close anatomic-histologic correlation. Familiarity with the normal appearances and basic functional properties of the lumbar intervertebral disc and discovertebral segment is fundamental for the recognition of aberrations that may have important clinical implications in patients with low back pain. In Part I of this article, the anatomic structure and features of the discovertebral complex in adults will be described.
Progression of Pancreas Morphology in Chronic Pancreatitis Exploration of New Potential MRI Biomarkers

were used. Paper III aimed to determine the diagnostic performance of T1 relaxation time, MRE-derived stiffness, proton density fat fraction and gland volume. It was shown that T1 relaxation time and MRE-derived stiffness had a very high diagnostic performance in detecting different stages of CP and were superior to pancreatic gland volume and proton density fat fraction. Finally, paper IV investigated the relationship between measurements with these new techniques and with pancreatic gland volume as a reference. It showed that MRE-derived stiffness and T1 relaxation times were related, whereas there only was a week association with the gland volume. The findings support the hypothesis that the modalities likely reflect aspects of fibrotic processes in CP and might be considered non-invasive biomarkers for quantifying early fibrotic changes in CP patients. Most interestingly, paper IV showed that a subgroup of CP patients with preserved exocrine and endocrine functions had fibrosis, as assessed by MRE and T1 mapping, despite a normal pancreatic volume, suggesting that both techniques might be more specific for the early parenchymal changes of CP than the loss of gland volume. Overall, papers I and II provide a deeper understanding of the disease progression in CP, whereas papers III & IV propose new MRI biomarkers for use in diagnosing and staging the earlier stages of the CP disease. This knowledge contributes to improving insight into understanding the complex CP disease and points into the direction of a paradigm change in the diagnosis of early CP.
Beyond Tech Transfer: A More Comprehensive Approach to Measuring the Entrepreneurial University

Since the 1980s, US universities have greatly increased attention given to innovation and entrepreneurship out of a genuine commitment to enhancing American competitiveness. Although regional innovation and entrepreneurship can be enhanced by universities in multiple ways, the primary metrics of “success” remain patenting, licensing rates, and university spin-outs. While these metrics can be a useful proxy for the entrepreneurial university they tend to understate the many important contributions universities, including non-research intensive universities, make to their regional economies. In this chapter, we introduce a framework of capabilities that are essential to nurturing ecosystems of innovation and entrepreneurship at the regional level. We then describe the varied ways in which universities can support the development of these capabilities. Finally, we provide a framework of metrics, which can more comprehensively capture the value that universities represent to innovation and entrepreneurship in their regions.
DrAsync: Identifying and Visualizing Anti-Pa � erns in Asynchronous JavaScript

Promises and async/await have become popular mechanisms for implementing asynchronous computations in JavaScript, but despite their popularity, programmers have di � culty using them. This paper identi � es 8 anti-patterns in promise-based JavaScript code that are prevalent across popular JavaScript repositories. We present a light-weight static analysis for automatically detecting these anti-patterns. This analysis is embedded in an interactive visualization tool that additionally relies on dynamic analysis to visualize promise lifetimes and instances of anti-patterns executed at run time. By enabling the user to navigate between promises in the visualization and the source code fragments that they originate from, problems and optimization opportunities can be identi � ed. We implement this approach in a tool called DrAsync , and found 2.6K static instances of anti-patterns in 20 popular JavaScript repositories. Upon examination of a subset of these, we found that the majority of problematic code reported by DrAsync could be eliminated through refactoring. Further investigation revealed that, in a few cases, the elimination of anti-patterns reduced the time needed to execute the refactored code fragments. Moreover, DrAsync’s visualization of promise lifetimes and relationships provides additional insight into the execution behavior of asynchronous programs and helped identify further optimization opportunities.
Ultrasound for the Aesthetic Injector

The use of ultrasound has become ubiquitous in the health care industry. Several ultrasound applications may be beneficial for aesthetic injectors. Aesthetic injectors can use ultrasound to visualize needles or cannulas and confirm the exact location of the tip. Using ultrasound guidance can improve nodule management. Perhaps, the most beneficial aspect of ultrasound guidance is its ability to identify and assist with vascular occlusions. The available ultrasound systems appropriate for aesthetic injectors are handheld or cart systems. When purchasing ultrasound systems, practitioners must weigh the advantages and disadvantages of a cart system (i.e., better resolution, higher cost, greater space requirements) compared with the advantages and disadvantages of a handheld system (i.e., increased portability, lower costs, less resolution). High-frequency ultrasound is rapidly being adopted by aesthetic injectors. It is time to consider adding an ultrasound system to your practice to increase safety and provide better outcomes for your patients.
Performance Evaluation of Real-time Linux for an Industrial Real-time Platform

This paper presents a performance evaluation of real-time Linux for industrial real-time platforms. On industrial platforms, multicore processors are popular due to their work distribution efficiency and cost-effectiveness. Multicore processors, however, are not designed for applications with real-time constraints, and their performance capabilities depend on their core configurations. In order to assess the feasibility of a multicore processor for real-time applications, we conduct a performance evaluation of a general processor and a low-power processor to provide an experimental environment of real-time Linux on both Xenomai and RT-preempt considering the multicore configuration. The real-time performance is evaluated through scheduling latency and in an environment with loads on the CPU, memory, and network to consider an actual situation. The results show a difference between a low-power and a general-purpose processor, but from developer's point of view, it shows that the low-power processor is a proper solution to accommodate low power situations.
Wireless Energy Transfer: On the Efficiency of Low Power Rectenna Topologies

This chapter proposes an overview of microwave energy harvesting with focuses on the design of high efficiency low power rectifying circuits. A background survey of RF energy harvesting techniques is presented first. Then, the performances of conventional rectifier topologies are analyzed and discussed. A review of the most efficient rectenna designs, from the state of the art, is also presented. Design considerations for low power rectifier operations are detailed and new high efficient rectifying circuits are designed and evaluated in both GSM and ISM bands under low power constraints. ________________________ Book Description: Wearable electronics, wireless devices, and other mobile technologies have revealed a deficit and a necessity for innovative methods of gathering and utilizing power. Drawing on otherwise wasted sources of energy, such as solar, thermal, and biological, is an important part of discovering future energy solutions. "Innovative Materials and Systems for Energy Harvesting Applications" reports on some of the best tools and technologies available for powering humanity’s growing thirst for electronic devices, including piezoelectric, solar, thermoelectric, and electromagnetic energies. This book is a crucial reference source for academics, industry professionals, and scientists working toward the future of energy.
Six Lessons for In-Store Marketing from Six Years of Mobile Eye-Tracking Research

Abstract Manufacturers and retailers spend millions of dollars every year on in-store communications. The effectiveness of these dollars depends on whether shoppers notice, pay attention to, and engage with these communications, something that is best determined from eye-tracking data. In this chapter, we utilize mobile eye-tracking data from tens of in-store marketing research studies conducted with hundreds of shoppers to develop six lessons with important implications for effective signage, shelf configuration, and package design. The first three lessons highlight the challenge of being noticed and engaged with in the store, given the narrow spatial window above and below eye level in which consumers look, the very short amount of time they devote to reading a sign or label even when they notice it, and the low probability that they engage with a communication especially if it is not immediately actionable. The last three lessons provide guidance on how marketers can design packages and labels that are more likely to be noticed, read, and included in the shopper’s consideration set, across different product categories.
A review on microphase separation measurement techniques for polyurethanes

Polyurethanes (PUs) microstructure and characteristics is strongly affected by microphase separation that arises from the thermodynamic immiscibility between the hard and soft segments. The extent of phase separation as well as the morphology and size of the separated phase governs their mechanical, electrical, thermal, and functional properties. This review: (1) provides an insight into how phase separation affects PU properties, (2) explains methods used to study PU phase separation. We review approaches from the simplest one, that is, the transparency measurement, to the more advanced methods including the spectroscopic techniques (infrared, nuclear magnetic resonance spectroscopies and X-ray scattering), rheological instruments (rheometrics mechanical spectrometer), and thermal analyses (differential scanning calorimetry). We also discuss the theoretical calculations and the molecular modeling used to study PU phase separation.
Um Estudo Prático sobre o Potencial do Ataque Slowloris a partir de Dispositivos Móveis

Os ataques DDoS têm se tornado uma ameaça real e frequente aos sites e serviços oferecidos no cenário mundial. Este trabalho avalia o potencial da execução de um destes ataques, o Slowloris, mundialmente conhecido, a partir de dispositivos móveis Android. Geralmente executado a partir de desktops, o Slowloris foi adaptado pelos autores para rodar em dispositivos móveis. Os ataques foram disparados a partir de um e dois smartphones e com intensidade variável (250 a 1000 atacantes). Avaliaram-se as métricas disponibilidade do servidor, tts, consumo de CPU e memória. Verificou-se que o potencial danoso da versão móvel é tão alto quanto da versão desktop, consumindo pouquíssimos recursos de CPU e memória.
Interplay of retinol binding protein 4 with obesity and associated chronic alterations

Obesity is a multifactorial disease, defined as excessive fat deposition in adipose tissue. Adipose tissue is responsible for the production and secretion of numerous adipokines that induce metabolic disorders. Retinol-binding protein 4 (RBP4) is an adipokine that transports vitamin A or retinol in the blood. High levels of RBP4 are associated with development of metabolic disease, including obesity, insulin resistance (IR), metabolic syndrome, and type 2 diabetes (T2D). The present review summarizes the role of RBP4 in obesity and associated chronic alterations. Excessive synthesis of RBP4 contributes to inflammatory characteristic of obesity by activation of immune cells and release of proinflammatory cytokines, such as TNFα and ILs, via the Toll-like receptor/JNK pathway. The retinol-RBP4 complex inhibits insulin signaling directly in adipocytes by activating Janus kinase 2 (JAK2)/STAT5/suppressor of cytokine signaling 3 signaling. This mechanism is retinol-dependent and requires vitamin A receptor stimulation by retinoic acid 6 (STRA6). In muscle, RBP4 is associated with increased serine 307 phosphorylation of insulin receptor substrate-1, which decreases its affinity to PI3K and promotes IR. In the liver, RBP4 increases hepatic expression of phosphoenolpyruvate carboxykinase, which increases production of glucose. Elevated serum RBP4 levels are associated with β-cell dysfunction in T2D via the STRA6/JAK2/STAT1/insulin gene enhancer protein 1 pathway. By contrast, RBP4 induces endothelial inflammation via the NF-κB/nicotinamide adenine dinucleotide phosphate oxidase pathway independently of retinol and STRA6, which stimulates expression of proinflammatory molecules, such as vascular cell adhesion molecule 1, E-selectin, intercellular adhesion molecule 1, monocyte chemoattractant protein 1 and TNFα. RBP4 promotes oxidative stress by decreasing endothelial mitochondrial function; overall, it may serve as a useful biomarker in the diagnosis of obesity and prognosis of associated disease, as well as a potential therapeutic target for treatment of these diseases.
Critical care drowning admissions in Southwest England 2009–2020, a retrospective study

Aim In the United Kingdom (UK), 600 deaths per annum are attributable to drowning. Despite this there is scarce critical care data on drowning patients globally. We describe drowning cases admitted to critical care units with a focus on functional outcomes. Materials and Methods Medical records for critical care admissions following a drowning event were retrospectively reviewed across six hospitals in Southwest England for cases presenting in the period between 2009 and 2020. Data was collected according to the Utstein international consensus guidelines on drowning. Results Forty-nine patients were included, 36 males and 13 females, including seven children. Median submersion duration was 2.5 min 20 cases were in cardiac arrest when rescued. At discharge 22 patients had preserved functional status, 10 patients had a reduced functional status. 17 patients died in hospital. Conclusion Admission to critical care following drowning is uncommon and associated with high rates of mortality and poor functional outcomes. We find that 31% of those who survived a drowning event subsequently required an increased level of assistance with their activities of daily living.