Miracle-dz/UniFAR-FTUs huggingface dataset:
Near-real time deforestation detection in the Brazilian Amazon with Sentinel-1 and neural networks

ABSTRACT Optical-based near-real time deforestation alert systems in the Brazilian Amazon are ineffective in the rainy season. This study identify clear-cut deforested areas through Neural Network (NN) algorithm based on C-band, VV- and VH-polarized, Sentinel-1 images. Statistical parameters of backscatter coefficients (mean, standard deviation, and the difference between maximum and minimum values – MMD) were computed from 30 Sentinel-1 images, from 2019, used as input parameters of the NN classifier. The samples were manually selected, including forested and deforested areas. After deforestation, mean backscatter signals decreased on the average of 2 dB for VV and 2.3 dB for VH from May to September–October. A Multi-Layer Perceptron (MLP) network was used for detecting near-real time forest disturbances larger than 2 ha. Case studies were performed for both polarizations considered the following input sets to the MLP: mean; mean and standard deviation; mean and MMD; and mean, standard deviation, and MMD. For the 2019 dataset, the latter showed the best performance of the NN algorithm with accuracy and F1 score of 99%. Automatic extraction using 2018 Sentinel-1 images reached accuracy and F1 score of 89% with the MapBiomas reference data and accuracy of 81% and F1 score of 79% with the PRODES reference data.
Transient RNA structures cause aberrant influenza virus replication and innate immune activation

During infection, the influenza A virus RNA polymerase produces both full-length and aberrant RNA molecules, such as defective viral genomes (DVG) and mini viral RNAs (mvRNA). Subsequent innate immune activation involves the binding of host pathogen receptor retinoic acid-inducible gene I (RIG-I) to viral RNAs. However, not all influenza A virus RNAs are strong RIG-I agonists. Here we show that potent innate immune activation by mvRNAs is determined by transient RNA structures, called template loops (t-loop) that stall the viral RNA polymerase. The effect of t-loops depends on the formation of an RNA duplex near the template entry and exit channels of the RNA polymerase, and their effect is enhanced by mutation of the template exit path from the RNA polymerase active site. Overall, these findings provide a mechanism that links aberrant viral replication to the activation of the innate immune response.
The impact of urban digital finance development on carbon emission performance in China and mechanism

: Based on a theoretical analysis, this study used the balanced panel data of 285 city samples in China from 2012 to 2018 to empirically analyze the impact of digital finance development on carbon emission performance by using the panel regression model and instrumental variable method. The results show that: (1) The development of digital finance significantly reduces the carbon emission intensity and improves the carbon emission efficiency, and the improvement of the coverage, use depth, and digitalization degree of digital finance improves the carbon emission performance. (2) The analysis of intermediary mechanism shows that the development of digital finance reduces carbon emission intensity through economic growth effect, industrial structure effect, and technological innovation effect, and improves carbon emission efficiency through economic growth effect and technological innovation effect. In general, the development of digital finance improves carbon emission performance through these three effects. (3) The results of heterogeneity analysis show that the development of digital finance is more conducive to reducing the carbon emission intensity of cities with low economic development level and low financial development level; with regard to carbon emission efficiency, the development of digital finance is more conducive to improving the carbon emission efficiency of cities with high economic development level and high financial development level, which is a result of the different basic conditions of technological innovation.
Reconstitution of muscle cell microtubule organization in vitro

Skeletal muscle differentiation occurs as muscle precursor cells (myoblasts) elongate and fuse to form multinucleated syncytial myotubes in which the highly-organized actomyosin sarcomeres of muscle fibers assemble. Although less well characterized, the microtubule cytoskeleton also undergoes dramatic rearrangement during myogenesis. The centrosome-nucleated microtubule array found in myoblasts is lost as the nuclear membrane acquires microtubule nucleating activity and microtubules emerge from multiple sites in the cell, eventually rearranging into a grid-like pattern in myotubes. In order to characterize perinuclear microtubule organization using a biochemically tractable system, we isolated nuclei from mouse C2C12 skeletal muscle cells during the course of differentiation and incubated them in cytoplasmic extracts prepared from eggs of the frog Xenopus laevis. Whereas centrosomes associated with myoblast nuclei gave rise to radial microtubule arrays in extracts, myotube nuclei produced a sun-like pattern with microtubules transiently nucleating from the entire nuclear envelope. Perinuclear microtubule growth was suppressed by inhibition of Aurora A kinase or by degradation of RNA, treatments that also inhibited microtubule growth from sperm centrosomes. Myotube nuclei displayed microtubule motor-based movements leading to their separation, as occurs in myotubes. This in vitro assay therefore recapitulates key features of microtubule organization and nuclear movement observed during muscle cell differentiation.
The Privilege of Choice: How Prospective College Students’ Financial Concerns Influence Their Choice of Higher Education Institution and Subject of Study in England

ABSTRACT A hallmark of English higher education (HE) over the last twenty years has been policies seeking to increase provider competition and student choice. Central to this has been student funding policy changes, leading to rising college costs. This article asks if prospective HE students’ concerns about college costs and the financial strategies they anticipate using because of them, widen or limit their choice of HE institution and subject of study. It calls on the findings from a nationally representative survey of 1,374 English college applicants and uses latent class analysis to develop a typology of students’ planned financial coping mechanisms: Minimizing costs; Managing costs and maximizing returns; and No financial concerns; which prove to be socially stratified. Minimizing costs students are the most disadvantaged and adopt mechanisms which constrain their choices of where and what to study, unlike students in the other groups. Thus, government policies aimed at improving student choice potentially have the opposite effect for the most disadvantaged, perpetuating existing inequalities in access to, and the experience of, HE.
Computer- and NMR-Aided Design of Small-Molecule Inhibitors of the Hub1 Protein

By binding to the spliceosomal protein Snu66, the human ubiquitin-like protein Hub1 is a modulator of the spliceosome performance and facilitates alternative splicing. Small molecules that bind to Hub1 would be of interest to study the protein-protein interaction of Hub1/Snu66, which is linked to several human pathologies, such as hypercholesterolemia, premature aging, neurodegenerative diseases, and cancer. To identify small molecule ligands for Hub1, we used the interface analysis, peptide modeling of the Hub1/Snu66 interaction and the fragment-based NMR screening. Fragment-based NMR screening has not proven sufficient to unambiguously search for fragments that bind to the Hub1 protein. This was because the Snu66 binding pocket of Hub1 is occupied by pH-sensitive residues, making it difficult to distinguish between pH-induced NMR shifts and actual binding events. The NMR analyses were therefore verified experimentally by microscale thermophoresis and by NMR pH titration experiments. Our study found two small peptides that showed binding to Hub1. These peptides are the first small-molecule ligands reported to interact with the Hub1 protein.
A marvellous sign and a fiery globe: a medieval English report of ball lightning

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A Setup for Camera-Based Detection of Simulated Pathological States Using a Neonatal Phantom

Premature infants are among the most vulnerable patients in a hospital. Due to numerous complications associated with immaturity, a continuous monitoring of vital signs with a high sensitivity and accuracy is required. Today, wired sensors are attached to the patient’s skin. However, adhesive electrodes can be potentially harmful as they can damage the very thin immature skin. Although unobtrusive monitoring systems using cameras show the potential to replace cable-based techniques, advanced image processing algorithms are data-driven and, therefore, need much data to be trained. Due to the low availability of public neonatal image data, a patient phantom could help to implement algorithms for the robust extraction of vital signs from video recordings. In this work, a camera-based system is presented and validated using a neonatal phantom, which enabled a simulation of common neonatal pathologies such as hypo-/hyperthermia and brady-/tachycardia. The implemented algorithm was able to continuously measure and analyze the heart rate via photoplethysmography imaging with a mean absolute error of 0.91 bpm, as well as the distribution of a neonate’s skin temperature with a mean absolute error of less than 0.55 °C. For accurate measurements, a temperature gain offset correction on the registered image from two infrared thermography cameras was performed. A deep learning-based keypoint detector was applied for temperature mapping and guidance for the feature extraction. The presented setup successfully detected several levels of hypo- and hyperthermia, an increased central-peripheral temperature difference, tachycardia and bradycardia.
Temporal learning modulates post-interval ERPs in a categorization task with hidden reference durations

The investigation of time-related activity in human electrophysiological activity has recently expanded from signals during the estimated interval to post-interval activity. Previous findings show timing-associated event-related potentials (ERPs) in both early (∼150ms) and late positive components (LPC; ∼300ms) post-interval signals. However, it is still unclear whether and what aspects of temporal information these different patterns of EEG activity are capturing, especially, if these signals are associated with interval duration or other task parameters. In the present work, we designed a modified temporal categorization task to investigate if participants’ adaptation to a changing decisional context led to changes in post-interval ERPs. Participants had to learn a hidden reference duration on each block to categorize the presented target intervals correctly. We found an early posterior N200 potential correlated to target durations and decisional context. A central LPC, which interacted with duration and learning of the hidden reference, predicted behavioral responses. Our findings add to the current evidence that interval duration modulates post-interval activity in timing categorization tasks and shows that late signals are associated with interval duration and decisional context.
Methodology to determine the coupling of continental clouds with surface and boundary layer height under cloudy conditions from lidar and meteorological data

Abstract. The states of coupling between clouds and surface or boundary layer have been investigated much more extensively for marine stratocumulus clouds than for continental low clouds, partly due to more complex thermodynamic structures over land. A manifestation is a lack of robust remote sensing methods to identify coupled and decoupled clouds over land. Following the idea for determining cloud coupling over the ocean, we have generalized the concept of coupling and decoupling to low clouds over land, based on potential temperature profiles. Furthermore, by using ample measurements from lidar and a suite of surface meteorological instruments at the U.S. Department of Energy's Atmospheric Radiation Measurement Program's Southern Great Plains site from 1998 to 2019, we have developed a method to simultaneously retrieve the planetary boundary layer (PBL) height (PBLH) and coupled states under cloudy conditions during the daytime. The new lidar-based method relies on the PBLH, the lifted condensation level, and the cloud base to diagnose the cloud coupling. The coupled states derived from this method are highly consistent with those derived from radiosondes. Retrieving the PBLH under cloudy conditions, which has been a persistent problem in lidar remote sensing, is resolved in this study. Our method can lead to high-quality retrievals of the PBLH under cloudy conditions and the determination of cloud coupling states. With the new method, we find that coupled clouds are sensitive to changes in the PBL with a strong diurnal cycle, whereas decoupled clouds and the PBL are weakly related. Since coupled and decoupled clouds have distinct features, our new method offers an advanced tool to separately investigate them in climate systems.
A statistical analysis-based Bayesian Network model for assessment of mobbing acts on ships

ABSTRACT Mobbing is a fundamental problem that disrupts the organization’s structure and negatively affects its employees’ safe work environment. The most critical issue in combating mobbing is increasing the awareness of victims, businesses and society about this problem. The importance of identifying this problem, which will adversely affect the professional life in the maritime profession, as in every professional group, is obvious. This study offers a statistical analysis-based dynamic Bayesian network to model seafarers’ mobbing acts in merchant ships. In this research, measures against mobbing in the maritime industry are also recommended after determining the most frequent mobbing elements in ships. It is observed that the seafarers who have just stepped into onboard are more exposed to mobbing; in contrast, mobbing attacks experienced by seafarers decrease with an increase in age. The most frequent mobbing behaviours are listed as: “I am continually given new tasks“, “My superiors restrict the opportunity for me to express myself” and ”Unfounded rumours about me is circulated in the ship”. The study reveals that while the maritime authorities such as PSC and the ITF have limited capabilities for solving mobbing related problems, the companies may have a crucial role to play in the process.
Hybrid SIW-GCPW Narrow-Wall 3 dB Coupler

Abstract In this paper, a novel narrow-wall double-slot 3 dB coupler is proposed. Efficient coupling is achieved between a substrate integrated waveguide (SIW) and a ground coplanar waveguide (GCPW). Such hybrid integrated coupler combines the low-loss property of SIW with the flexibility of CPW. The coupling mechanism between TE10 mode of SIW and TEM mode of GCPW is studied. According to the provided theory, a 3 dB coupler is designed and fabricated operating around 18 GHz and achieves a relative bandwidth of 10%. The measured results are in agreement with the simulated ones.
Populism and nationalism revisited: A comparative study of the Spanish and Portuguese New Left

Funding information Fundaç~ao para a Ciência e a Tecnologia, Grant/Award Number: PTDC/SOCSOC/28524/2017 Abstract Current definitions of populism are insufficiently determinate. They fail to distinguish between populism and nationalism. We propose to remedy this problem by advancing a new definition of populism as the logic of democratic resentment. We apply this new definition to a comparison between Spain's Podemos and Portugal's Left Bloc (BE), which we classify as social carriers of populism. We make two contributions to the literature. First, our findings dispute existing characterisations of the Portuguese case, which fail to distinguish between populist and nationalist claim-making. Second, our analysis undermines depictions of Podemos as the consummate populist party in Iberia: In 2015, the little studied BE was a stronger populist carrier than Podemos. The analytical framework underpinning this conclusion offers a more refined approach to populism than the alternatives and sets a higher standard for empirical replication.
The Level of Pollination Specialization Affects the Relationship between the Shape of Flowers and the Bills of Their Hummingbird Pollinators in Antillean Gesneriaceae

Premise of research. Pollinators are known to impose strong selection on floral shape. Particularly well studied is the relationship between the flowers of hummingbird-pollinated plant species and the bills of their pollinators. However, no studies to date have evaluated whether these relationships vary according to the level of pollination specialization. Here, we quantify the relationship between the corolla shape of Antillean Gesneriaceae and the bills of their hummingbird pollinators for species with a specialist (one functional group of pollinators: hummingbirds) and a generalist (more than one functional group of pollinators: hummingbirds, bats, and insects) pollination strategy. Methodology. We used phylogenetic generalized least squares analyses on linear measurements and phylogenetic two blocks partial least squares on multivariate geometric morphometrics data to test whether and how the variation in the corolla shape of the Antillean Gesneriaceae is correlated to the shape of the bills of their hummingbird pollinators. Pivotal results. We found that corolla shape is correlated with the bill shape of the hummingbird pollinators but that the nature of this relationship differed between pollination specialists and generalists. For example, corolla curvature was positively correlated with bill curvature for specialists but not for generalists. Conclusions. Our study suggests that pollinators affect the evolution of flower shape but that the nature and strength of the selective pressures are affected by the pollinator guild of the pollinators in the Antillean Gesneriaceae.
Oral SARS-CoV-2 Inoculation Causes Nasal Viral Infection Leading to Olfactory Bulb Infection: An Experimental Study

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections can cause long-lasting anosmia, but the impact of SARS-CoV-2 infection, which can spread to the nasal cavity via the oral route, on the olfactory receptor neuron (ORN) lineage and olfactory bulb (OB) remains undetermined. Using Syrian hamsters, we explored whether oral SARS-CoV-2 inoculation can lead to nasal viral infection, examined how SARS-CoV-2 affects the ORN lineage by site, and investigated whether SARS-CoV-2 infection can spread to the OB and induce inflammation. On post-inoculation day 7, SARS-CoV-2 presence was confirmed in the lateral area (OCAM-positive) but not the nasal septum of NQO1-positive and OCAM-positive areas. The virus was observed partially infiltrating the olfactory epithelium, and ORN progenitor cells, immature ORNs, and mature ORNs were fewer than in controls. The virus was found in the olfactory nerve bundles to the OB, suggesting the nasal cavity as a route for SARS-CoV-2 brain infection. We demonstrated that transoral SARS-CoV-2 infection can spread from the nasal cavity to the central nervous system and the possibility of central olfactory dysfunction due to SARS-CoV-2 infection. The virus was localized at the infection site and could damage all ORN-lineage cells.
MXene Heterostructures as Perspective Materials for Gas Sensing Applications

This paper provides a summary of the recent developments with promising 2D MXene-related materials and gives an outlook for further research on gas sensor applications. The current synthesis routes that are provided in the literature are summarized, and the main properties of MXene compounds have been highlighted. Particular attention has been paid to safe and non-hazardous synthesis approaches for MXene production as 2D materials. The work so far on sensing properties of pure MXenes and MXene-based heterostructures has been considered. Significant improvement of the MXenes sensing performances not only relies on 2D production but also on the formation of MXene heterostructures with other 2D materials, such as graphene, and with metal oxides layers. Despite the limited number of research papers published in this area, recommendations on new strategies to advance MXene heterostructures and composites for gas sensing applications can be driven.
Serum Levels of VWF, t-PA, TNF-α, and ICAM-1 in Patients Receiving Hemocoagulase Combined with Platelet-Rich Plasma during Total Hip Replacement

Objectives This study aimed to investigate the effect of hemocoagulase combined with platelet-rich plasma (PRP) in total hip replacement (THR) on reducing bleeding and improving knee joint function in the patients with osteoarthritis. Methods From February 2018 to February 2020, 80 osteoarthritis patients undergoing THR were included in the study, of which 40 cases were treated with PRP and hemocoagulase (test group) in the joint capsule in THR and the other 40 cases received saline and thrombin in the joint capsule after THR (control group). Postoperative drainage and corresponding functional exercise were performed for the two groups 12 hours after operation. The outcome measures including operation time, soft-tissue release, blood routine, drainage volume, perioperative blood loss, postoperative incision inflammation, deep vein thrombosis (DVT), and range of motion (ROM) of the joint were recorded. Results The hemoglobin and hematocrit values of the test group on the second postoperative day were significantly higher than those of the control group (P < 0.05). The postoperative drainage volume and perioperative blood loss were significantly lower than those of the control group (P < 0.05). The test group was better than the control group in the ROM of the joint at 7 and 15 days after the operation (P < 0.05). A lower value of prothrombin time and activated partial thromboplastin time was revealed in the test group compared with the control group (P < 0.05). No significant difference in the operation time, intraoperative soft-tissue release, postoperative incision inflammation, incidence of DVT, incidence of deep infection, and ROM at day 90 after THR was found in the two groups (P > 0.05). Conclusions The application of hemocoagulase combined with PRP in THR can reduce perioperative blood loss, increase wound healing speed and quality, and improve coagulation and immune function. It is a safe and effective method for the patients with knee osteoarthritis who underwent THR.