Miracle-dz/UniFAR-FTUs huggingface dataset:
A New Nonlinear Photothermal Iterative Theory for Port-Wine Stain Detection

The development of appropriate photothermal detection of skin diseases to meet complex clinical demands is an urgent challenge for the prevention and therapy of skin cancer. An extensive body of literature has ignored all high-order harmonics above the second order and their influences on low-order harmonics. In this paper, a new iterative numerical method is developed for solving the nonlinear thermal diffusion equation to improve nonlinear photothermal detection for the noninvasive assessment of the thickness of port-wine stain (PWS). First, based on the anatomical and structural properties of skin tissue of PWS, a nonlinear theoretical model for photothermal detection is established. Second, a corresponding nonlinear thermal diffusion equation is solved by using the new iterative numerical method and taking into account harmonics above the second-order and their effects on lower-order harmonics. Finally, the thickness and excitation light intensity of PWS samples are numerically simulated. The simulation results show that the numerical solution converges fasterand the physical meaning of the solution is clearerwith the new method than with the traditional perturbation method. The rate of change in each harmonic with the sample thickness for the new method is higher than that for the conventional perturbation method, suggesting that the proposed numerical method may provide greater detection sensitivity. The results of the study provide a theoretical basis for the clinical treatment of PWS.
Alterações na cinemática da marcha hemiparética: um estudo comparativo

O objetivo principal deste estudo foi analisar as alterações da marcha de adultos com hemiparesia após acidente vascular encefálico (AVE) e comparar com sujeitos saudáveis. A amostra foi composta por 14 participantes do grupo AVE e 14 participantes pareados do grupo-controle (CON). Foi realizada uma análise tridimensional da marcha mediante um sistema de cinemetria. Os parâmetros analisados foram a velocidade, o comprimento da passada, a largura da passada, a cadência e o tempo da passada, sendo utilizado o teste t independente para as comparações entre os grupos e considerando p < 0,05 como critério de decisão. Os participantes do grupo AVE apresentaram valores médios significantemente inferiores em todos os parâmetros analisados. Além disso, os pacientes do grupo AVE também tiveram valores muito inferiores quando comparados aos de outros estudos com pacientes pós-AVE, possivelmente devido ao curto período entre o AVE (média de 14,14 meses) e a avaliação da marcha.
Fine-Tuning Modulation of Oxidation-Mediated Posttranslational Control of Bradyrhizobium diazoefficiens FixK2 Transcription Factor

FixK2 is a CRP/FNR-type transcription factor that plays a central role in a sophisticated regulatory network for the anoxic, microoxic and symbiotic lifestyles of the soybean endosymbiont Bradyrhizobium diazoefficiens. Aside from the balanced expression of the fixK2 gene under microoxic conditions (induced by the two-component regulatory system FixLJ and negatively auto-repressed), FixK2 activity is posttranslationally controlled by proteolysis, and by the oxidation of a singular cysteine residue (C183) near its DNA-binding domain. To simulate the permanent oxidation of FixK2, we replaced C183 for aspartic acid. Purified C183D FixK2 protein showed both low DNA binding and in vitro transcriptional activation from the promoter of the fixNOQP operon, required for respiration under symbiosis. However, in a B. diazoefficiens strain coding for C183D FixK2, expression of a fixNOQP’-‘lacZ fusion was similar to that in the wild type, when both strains were grown microoxically. The C183D FixK2 encoding strain also showed a wild-type phenotype in symbiosis with soybeans, and increased fixK2 gene expression levels and FixK2 protein abundance in cells. These two latter observations, together with the global transcriptional profile of the microoxically cultured C183D FixK2 encoding strain, suggest the existence of a finely tuned regulatory strategy to counterbalance the oxidation-mediated inactivation of FixK2 in vivo.
Inversion of Nitrogen Concentration in Apple Canopy Based on UAV Hyperspectral Images

As the major nutrient affecting crop growth, accurate assessing of nitrogen (N) is crucial to precise agricultural management. Although improvements based on ground and satellite data nitrogen in monitoring crops have been made, the application of these technologies is limited by expensive costs, covering small spatial scales and low spatiotemporal resolution. This study strived to explore an effective approach for inversing and mapping the distributions of the canopy nitrogen concentration (CNC) based on Unmanned Aerial Vehicle (UAV) hyperspectral image data in a typical apple orchard area of China. A Cubert UHD185 imaging spectrometer mounted on a UAV was used to obtain the hyperspectral images of the apple canopy. The range of the apple canopy was determined by the threshold method to eliminate the effect of the background spectrum from bare soil and shadow. We analyzed and screened out the spectral parameters sensitive to CNC, including vegetation indices (VIs), random two-band spectral indices, and red-edge parameters. The partial least squares regression (PLSR) and backpropagation neural network (BPNN) were constructed to inverse CNC based on a single spectral parameter or a combination of multiple spectral parameters. The results show that when the thresholds of normalized difference vegetation index (NDVI) and normalized difference canopy shadow index (NDCSI) were set to 0.65 and 0.45, respectively, the canopy’s CNC range could be effectively identified and extracted, which was more refined than random forest classifier (RFC); the correlation between random two-band spectral indices and nitrogen concentration was stronger than that of other spectral parameters; and the BPNN model based on the combination of random two-band spectral indices and red-edge parameters was the optimal model for accurately retrieving CNC. Its modeling determination coefficient (R2) and root mean square error (RMSE) were 0.77 and 0.16, respectively; and the validation R2 and residual predictive deviation (RPD) were 0.75 and 1.92. The findings of this study can provide a theoretical basis and technical support for the large-scale, rapid, and non-destructive monitoring of apple nutritional status.
Acidic and Alkaline Conditions Affect the Growth of Tree Peony Plants via Altering Photosynthetic Characteristics, Limiting Nutrient Assimilation, and Impairing ROS Balance

Exposure to acidic and alkaline conditions were found to cause the excess accumulation of reactive oxygen species in tree peony, thereby causing damage and inhibiting plant growth and development. The activities of antioxidant enzymes were also found to be significantly up-regulated, especially under alkaline conditions; this explained why tree peony is better adapted to alkaline than to acidic conditions. Through pairwise comparisons, 144 differentially expressed genes (DEGs) associated with plant growth, photosynthesis, and stress were identified. The DEGs related to stress were up-regulated, whereas the remaining DEGs were almost all down-regulated after acid and alkaline treatments. The nutrient assimilation was greatly inhibited. Chlorophyll synthesis genes were suppressed, and chlorophyll content was reduced. The development and structures of stomata and chloroplasts and the transcription of related genes were also influenced. Among photosynthesis-related DEGs, electron transport chains were the most sensitive. The suppressed expression of photosynthesis genes and the reduced light-harvesting capacity, together with the impairment of chloroplasts and stomata, finally led to a sharp decrease in the net photosynthetic rate. Carbohydrate accumulation and plant biomass were also reduced. The present study provides a theoretical basis for the response mechanisms of tree peony to adverse pH conditions and enriches knowledge of plant adaptation to alkaline conditions.
Fast and Accurate Hand Visual Detection by Using a Spatial-Channel Attention SSD for Hand-Based Space Robot Teleoperation

Space robot teleoperation is an important technology in the space human-robot interaction and collaboration. Hand-based visual teleoperation can make the operation more natural and convenient. The fast and accuracy hand detection is one of the most difficult and important problem in the hand-based space robot teleoperation. In this work, we propose a fast and accurate hand detection method by using a spatial-channel attention single shot multibox detector (SCA-SSD). The SSD framework is used and improved in our method by introducing spatial-channel attentions with feature fusion. To increase the restricted receptive field in shallow layers, two shallow layers are fused with deep layers by using feature fusion modules. And spatial attention and channel-wise attention are also used to extract more efficient features. This method can not only ease the computational burden but also bring more contextual information. To evaluate the effectiveness of the proposed method, experiments on some public datasets and a custom astronaut hand detection dataset (AHD) are conducted. The results show that our method can improve the hand detection accuracy by 2.7% compared with the original SSD with only 15 fps speed drops. In addition, the space robot teleoperation experiment proves that our hand detection method can be well utilized in the space robot teleoperation system.
Trajectory Prediction for Autonomous Driving Using Spatial-Temporal Graph Attention Transformer

For autonomous vehicles driving on roads, future trajectories of surrounding traffic agents (e.g., vehicles, bicycles, pedestrians) are essential information. The prediction of future trajectories is challenging as the motion of traffic agents is constantly affected by spatial-temporal interactions from agents and road infrastructure. To take those interactions into account, this study proposes a Graph Attention Transformer (Gatformer) in which a traffic scene is represented by a sparse graph. To maintain the spatial and temporal information of traffic agents in a traffic scene, Convolutional Neural Networks (CNNs) are utilized to extract spatial features and a position encoder is proposed to encode the spatial features and the corresponding temporal features. Based on the encoded features, a Graph Attention Network (GAT) block is employed to model the agent-agent and agent-infrastructure interactions with the help of attention mechanisms. Finally, a Transformer network is introduced to predict trajectories for multiple agents simultaneously. Experiments are conducted over the Lyft dataset and state-of-the-art methods are introduced for comparison. The results show that the proposed Gatformer could make more accurate predictions while requiring less inference time than its counterparts.
A Probabilistic Physics-Based Seismic Hazard Model for the Alborz Region, Iran

The seismic activity rate is one of the most significant factors in seismic hazard modeling. Although it is usually estimated from observed seismicity, a complete picture of the possible earthquakes is not always available since catalogs of the observed earthquakes are short and incomplete. Long-term physics-based numerical simulations, providing a comprehensive range of earthquakes, are a decent way to overcome such deficiency. With this contribution, we built a seismic hazard model for the Alborz region, Iran, using a long-term physics-based synthetic earthquake catalog, enriched with the additional consideration of background seismicity derived from a deformation model. 200,000 yr synthetic catalogs for the Alborz region, Iran, are used and validated by considering the recurrence time of large-magnitude events estimated from the paleoseismological investigation on individual faults. The magnitude–frequency distribution (MFD) from the synthetic earthquake catalog is then compared with the MFD based on observation, which overall indicates good compatibility, although there are discrepancies for some faults. The estimated peak ground acceleration (PGA) for the Alborz region varies in the ranges of 0.16–0.52g and 0.27–1.0g for 10% and 2% probability of exceedance in 50 yr, respectively. The absolute natural logarithm differences averaged across the region are ∼0.21, corresponding to an average of 23% difference in PGA values in comparison with the most up-to-date observed-based hazard model. Hazard curves for several populated cities are also presented and compared with the other independent estimates. The proposed procedure could be an alternative approach to evaluate seismic hazard for a seismically active region, in particular for those without a complete catalog of observed earthquakes.
Assessment of the genotoxicity of acrylamide

Abstract EFSA was requested to deliver a statement on a recent publication revisiting the evidence for genotoxicity of acrylamide (AA). The statement was prepared by a Working Group and was endorsed by the CONTAM Panel before its final approval. In interpreting the Terms of Reference, the statement considered the modes of action underlying the carcinogenicity of AA including genotoxic and non‐genotoxic effects. Relevant publications since the 2015 CONTAM Panel Opinion on AA in food were reviewed. Several new studies reported positive results on the clastogenic and mutagenic properties of AA and its active metabolite glycidamide (GA). DNA adducts of GA were induced by AA exposure in experimental animals and have also been observed in humans. In addition to the genotoxicity of AA, there is evidence for both secondary DNA oxidation via generation of reactive oxygen species and for non‐genotoxic effects which may contribute to carcinogenesis by AA. These studies extend the information assessed by the CONTAM Panel in its 2015 Opinion, and support its conclusions. That Opinion applied the margin of exposure (MOE) approach, as recommended in the EFSA Guidance for substances that are both genotoxic and carcinogenic, for risk characterisation of the neoplastic effects of AA. Based on the new data evaluated, the MOE approach is still considered appropriate, and an update of the 2015 Opinion is not required at the present time.
Revealing the Tattoo Philosophy and Pop Culture of the RR Kakek Gaul Community

In the current era, Indonesian people have begun to open their minds to eliminate negative thoughts about people who have tattoos on their bodies. This is due to the mixing of foreign cultures that have entered Indonesia, not even a few minors have the motivation to have tattoos on their body parts. This research analyzed one of the tattoo communities located in Jakarta named the RR Kakek Gaul Community. In order to help the researchers doing the analysis, the researchers used Semiotics concept from Roland Barthes and signs from Peirce. The sources were taken from the RR Kakek Gaul Community Instagram and YouTube accound which were more specific on two members from its community. The results of this study showed that the members of the RR Kakek Gaul Community tried to deliver messages of optimism in seeing future life and eliminating negatives from the non-tattoed people who underestimaed them. They sent those meanings through tattoo symbol they had.
Potential Drawbacks of ICS/LABA/LAMA Triple Fixed-Dose Combination Therapy in the Treatment of Asthma: A Quantitative Synthesis of Safety Profile

Introduction Inhaled corticosteroid/long-acting β2-adrenoceptor agonist/long-acting muscarinic antagonist (ICS/LABA/LAMA) fixed-dose combination (FDC) is currently recommended as controller option at asthma Step 4 and as preferred treatment at asthma Step 5, but no research investigated the potential drawbacks of this therapeutic option in a large asthmatic population. Thus, the aim of this study was to quantify the potential drawbacks of triple FDC therapy in asthma. Methods A pairwise meta-analysis was performed according to PRISMA-P guidelines to assess the risk of overall serious adverse events (SAEs), cardiovascular SAEs, and pneumonia reported as SAE in asthmatic patients treated with ICS/LABA/LAMA FDC vs ICS/LABA FDC. A pooled analysis was performed to calculate the frequency of SAEs. Results Data from 7204 asthmatic patients were extracted from the CAPTAIN, IRIDIUM, TRIMARAN, and TRIGGER studies. Triple FDC vs ICS/LABA FDC did not increase the risk of total SAEs (RR 0.99 95% CI 0.83–1.18) and cardiac SAEs (RR 0.74 95% CI 0.39–1.40), whereas the sensitivity analysis performed to resolve heterogeneity resulted in increased risk of vascular SAEs (RR 3.23 95% CI 1.05–9.90, P<0.05). The level of ICS dose did not modulate the risk of pneumonia, in any case pneumonia was the most frequent SAE (0.57%). These results were not affected by significant risk of bias. Conclusion Triple FDC is a safe pharmacological therapy in severe asthmatic patients; it is characterized by a favourable safety profile and few potential drawbacks, namely, the increased risk of vascular SAEs, that certainly are worthy of future investigations.
Investigating the influence of water injection on the emissions of a diesel engine

There are many methods to decrease the nitrogen oxide emissions of a diesel engine. One promising measure is water injection into the engine’sintake manifold. As emission limits become more and more stringent, the diesel engine NOx–particulate trade-off is a challenge for engine developers. To overcome this challenge, a single-point water injection system has been developed to investigate the influence of different amounts of injected water on the behaviour of a 4-cylinder diesel engine. The amount of injected water was varied from 0 to 100% water-to-fuel ratio in part-load operation (BMEP = 2, 3.5 and 5 bar). The influence on the intake air cooling effect, exhaust emissions, combustion and engine parameters was evaluated. The combustion temperature and the NOx emissions decreased drastically (63% NOx decrease for a BMEP of 5 bar and a waterto-fuel ratio of 100%). This benefit had the drawback of an increase of the particle matter emission at high water-to-fuel ratio. The combustion process and performance parameters regarding efficiency, torque and fuel consumption were marginally influenced by the water injection. This work has achieved a major reduction of NOx raw emissions of a diesel engine. Further research lines could include research on water injection at high load operation points in the engine map.
Strategies to Confront the Marital Adjustment Disturbance as Practiced by Saudi Wives

The study aimed to explore the strategies practiced by Saudi wives to confront the marital adjustment disturbance. The study applied a three-part questionnaire that includes the degree of the marital adjustment disturbance, its causes, ramifications and strategies to confront it. Using the personal interview, data were collected from 230 wives in Riyadh city within three months. The study used the descriptive and analytical approach to analyze the collected data. The results indicated that there was a high degree of disturbance in the relationship between the couples. This is because of the weakness of positive emotional expressions by the husband, which the most common effects are silence and marital silence, and its effect on the psychology and behavior of the children. The most common strategy by the wife was the strategy of positive thinking. The study recommended the following: Providing guidance and training programs by family-related organizations, training the wives to practice the positive strategies to confront family disturbances, as well as training the husbands on techniques of correct marital treatment. Received: 9 March 2022 / Accepted: 16 April 2022 / Published: 5 May 2022
Safety and Efficacy of the COVID-19 Vaccine in Kidney Transplant Recipients

Background: Kidney transplant recipients appear to be at high risk for critical coronavirus disease 2019 (COVID-19) illness. They are considered a priority for COVID-19 vaccination. Only a few studies report on the safety and efficacy of the COVID-19 vaccine in these patients. Methods: In this prospective observational study, we measured anti-severe acute respiratory syndrome coronavirus 2 (anti-SARS-CoV-2) spike-specific IgG post first and second COVID-19 mRNA vaccines in 113 kidney transplant recipients and compared them to 62 healthy volunteers. Result: After the first COVID-19 vaccine, SARS-CoV-2-specific antibodies were undetectable in 38.9% of kidney transplant recipients, and after the second, it remained undetectable in 12.4%. SARS-CoV-2-specific antibodies were significantly lower in kidney transplant recipients. The average antibody titer after the first vaccine was 1243.6±4137.5 in kidney transplant recipients compared to 20012.2±44436.4 in the controls after the first dose (P=0.002), and 7965.5±12431.3 versus 82891.3±67418.7, respectively, after the second dose (P <0.001). The immune response to the COVID-19 vaccine seemed to be influenced by mycophenolate dose in kidney transplant recipients and pre-vaccination infection. Conclusion: Kidney transplant recipients are prone to have attenuated antibody responses (anti-spike IgGs) to mRNA COVID-19 vaccines. Patients on mycophenolate mofetil (2 gm daily) had significantly lower SARS-CoV-2 spike-specific IgG levels as compared to patients on no or reduced dose of mycophenolate. Hence, kidney transplant recipients need to continue all infection control precautionary measures against COVID-19 infection and should be considered a priority for a third COVID-19 vaccine.
Characterization of tomato genetic resources in the function of breeding

Tomato is one of the most important species belonging to the Solanaceae family. Focusing on the importance of tomato in human nutrition and the problem of narrowed genetic variability, the aim of the study was to assess morphological and chemical diversity in IFVCNS germplasm collection. Twenty genotypes were analysed for the morphological and chemical fruit traits: average mass (g), length (cm), diameter (cm), pericarp thickness (mm), locules number, moisture content (%), total soluble solids (°Brix), ash content (%), total acidity (%) and pH value. Selected plant material for analysis included: landraces, traditional varieties, breeding lines and commercial varieties. Differences among tomato genotypes in all fruit traits were determined. Fruit mass and locules number had the highest coefficient of variation. The least differences between genotypes were observed in the fruit moisture content. Four principal components accounted for 90.6% of total variance or 36.5%, 24.2%, 19.8% and 10.1%, respectively. Along the axis of the first main component, genotypes were classified into three groups. The first component was defined by fruit length, diameter and mass. The second component was correlated with pericarp thickness and locules number, and the third with moisture content, ash content and total soluble solids. Based on the cluster analysis, genotypes were classified into three groups which were in agreement with the PCA groups. Hybridization between genotypes from different groups was proposed in order to create new hybrids and varieties and to increase tomato germplasm diversity. By crossing those genotypes, improved recombinations in morphological and chemical traits can be expected.