Since the start of the COVID‐19 vaccinations, many dermatological manifestations have been described .There are certain safety-related events that, due to rarity, might be detected only during the mass vaccination programs. Here we report a potentially serious adverse effect of Covid vaccines that have been rarely reported before

Axillary lymphadenopathy is a local reaction to mRNA COVID-19 vaccination. A 19-year-old healthy woman presented with a mass in the axilla diagnosed by ultrasonography as vaccine-induced hyperreactive lymphadenopathy. After two weeks, ultrasonography revealed that the lymph node had shrunk and that the blood flow signal in the hilum had disappeared.

Dolichols (Dols), ubiquitous components of living organisms, are indispensable for cell survival. In plants, as well as other eukaryotes, Dols are crucial for posttranslational protein glycosylation, aberration of which leads to fatal metabolic disorders in humans and male sterility in plants. Until now, the mechanisms underlying Dol accumulation remain elusive. In this report, we have analyzed the natural variation of the accumulation of Dols and six other isoprenoids between more than 120 Arabidopsis thaliana accessions. Subsequently, by combining QTL and GWAS approaches, we have identified several candidate genes involved in the accumulation of Dols, polyprenols, plastoquinone, and phytosterols. The role of two genes implicated in the accumulation of major Dols in Arabidopsis – the AT2G17570 gene encoding a long searched for cis-prenyltransferase (CPT3) and the AT1G52460 gene encoding an alpha-beta hydrolase (ABH) – is experimentally confirmed. These data will help to generate Dol-enriched plants which might serve as a remedy for Dol-deficiency in humans.

Background Solid organ transplantation (SOT) has become commonly used in children and is associated with excellent survival rates into adulthood. Data regarding long-term respiratory outcomes following pediatric transplantation are lacking. We aimed to describe the prevalence and nature of respiratory pathology following pediatric heart, kidney, and liver transplant, and identify potential risk factors for respiratory complications. Methods Retrospective review involving all children under active follow-up at the provincial transplant service in British Columbia, Canada, following SOT. Results Of 118 children, 33% experienced respiratory complications, increasing to 54% in heart transplant recipients. Chronic or recurrent cough with persistent chest x-ray changes was the most common clinical picture, and most infections were with non-opportunistic organisms typically found in otherwise healthy children. A history of respiratory illness prior to transplant was significantly associated with risk of post-transplant respiratory complications. 8% were diagnosed with bronchiectasis, which was more common in recipients of heart and kidney transplant. Bronchiectasis was associated with recurrent hospital admissions with lower respiratory tract infections, treatment of acute rejection episodes, and treatment with sirolimus. Interpretation Respiratory morbidity is common after pediatric SOT, and bronchiectasis rates were disproportionately high in this patient group. We hypothesise that this relates to recurrent infections resulting from iatrogenic immunosuppression. Direct pulmonary toxicity from immunosuppression drugs may also be contributory. A high index of suspicion for respiratory complications is needed following childhood SOT, particularly in those with a history of respiratory disease prior to transplant, experiencing recurrent or severe respiratory tract infections, or exposed to intensified immunosuppression.

Diffuse large B cell lymphoma (DLBCL) it’s the most frequent of all non-Hodgkin lymphomas. We describe a case of a man with multiple lesions on both legs being treated as venous ulcer for two months until a biopsy of them result on the diagnose of DLBCL.

Although loss of genetic fitness is known to be severely detrimental to the viability of populations, little is known about how changes in the genetic fitness of keystone species can impact the functioning of communities and ecosystems. Here we assessed how changes in the genetic fitness of a keystone predator, grey wolves, impacted the ecosystem of Isle Royale National Park over 2-decades. The decline and subsequent resurgence of inbreeding in the wolf population led to a rise and then fall in predation rates on moose, the primary prey of wolves and dominant mammalian herbivore in this system. Those changes in predation rate led to large fluctuations in moose abundance which in turn impacted browse rates on balsam fir, the dominant forage for moose during winter and an important species in the forest. Thus, forest dynamics can be traced back to changes in the genetic health of a predator population.

Eighteen pediatric oncology or bone marrow transplant (BMT) survivors who had liver iron content of >12 mg/g dry weight also underwent Cardiac MR (CMR) to quantify cardiac iron content. Despite high transfused packed red blood cell volumes (mean 383 ml/kg) patients all had cardiac T2* relaxation times in normal ranges (T2* relaxation time mean 35.1 msec ± 7.1 [normal >20 msec]).

The article focuses on a polysaccharide of natural origin – chitosan and its application in tissue engineering. The preparation process and physicochemical properties of the saccharide are described. The degradation of chitosan and the properties influencing the process both outside and in living organism were examined. Four applications in bone tissue engineering can be distinguished: preparation of cell scaffolds exclusively from chitosan, from a chitosan composite or from a chitosan polyelectrolyte complex. The fourth way is to modify the surface of scaffolds made of other materials by covering them with a layer of chitosan. At the end of the article, the processes taking place after placing the implant inside the body are described, how the structure of chitosan affects the behaviour of bone cells in the adhesion process and life processes.

Rapidly and effectively assessing environmental degradation is essential for promoting regional sustainable development in the transnational area of Changbai Mountain (TACM). However, comprehensively understanding environmental degradation in the TACM is still inadequate. In this study, we developed an environmental degradation index (EDI) by using multiple remote sensing data, including enhanced vegetation index (EVI), gross primary productivity (GPP), land surface temperature (LST), and MODIS surface reflectance products. We then evaluated its performance comparing with the remote sensing ecological index (RSEI), and assessed the environmental degradation across the whole TACM, in the subregions of China, the Democratic People’s Republic of Korea (DPRK), and Russia during 2000-2019. The results indicated that the EDI had the advantages of simplicity and rapidity, which can assess the environmental degradation in the TACM across long-time scales and large spatial extent. The TACM experienced a downward trend of environmental changes from 2000 to 2019. Degraded environment areas (49,329.50 km2) accounted for 30.09% of the entire TACM. The largest area of the degraded environment was on the DPRK’s side (i.e., 25,395.00 km2), which was 5.6 times larger than that on the Russian side and 1.3 times larger than that on the Chinese side. Hotspot areas that experienced significant environmental degradation just covered 17.69% of the land area of the TACM, the area of environmental degradation in them accounted for 33.89% of the total degraded environment across the whole TACM. We suggest that international cooperation policies and measures ought to be enacted to promote regional sustainable development.

In this paper, we study the structural, electronic and optical properties of the inorganic solar perovskites XPbBr3 (X= Li or Na). We applied the two methods: the density functional theory (DFT) and time-dependent density-functional theory (TDDFT). In fact, we performed the DFT method using the Quantum Espresso package. Also, the total energies of the studied inorganic solar perovskites XPbBr3 (X= Li or Na) have been deduced as a function of the lattice parameter a (Å). The two calculation methods have been carried out under the GGA-PBE and GGA-PBESol approximations. Moreover, the total and partial density of states (DOS) and the band structure of the studied compounds have been presented and discussed for the two cases: with and without the spin orbit coupling (SOC) approximation. In addition, the DFT and TDDFT have been explored in order to elaborate the structural, the electronic and the optical properties of the inorganic perovskite CsPbI3 material for solar cell applications. When using the GGA-PBESol method without SOC approximation, we found a band gap energy value greater than that one computed when adding the SOC correction. On the other hand, the optical properties of the studied material have been studied. In particular, we found that the inorganic solar Perovskite XPbBr3 (X=Li or Na) materials exhibit a high transparency of the electromagnetic radiations in energy range between 0 eV and 33 eV.

Aaron Smith1, Doerthe Tetzlaff1,2,3, Marco Maneta4,Chris Soulsby3,21IGB Leibniz Institute of Freshwater Ecology and Inland Fisheries Berlin, Berlin, Germany2Humboldt University Berlin, Berlin, Germany3Northern Rivers Institute, School of Geosciences, University of Aberdeen, UK4Department of Geosciences, University of Montana, Missoula, Montana, USACorrespondence to: Aaron Smith (smith@igb-berlin.de)

In land plants, heteroblasty broadly refers to a drastic change in morphology during growth through ontogeny. Juniperus flaccida and Pinus cembroides are conifers of independent lineages known to exhibit leaf heteroblasty between the juvenile and adult life stage of development. Juvenile leaves of P. cembroides develop spirally on the main stem and appear decurrent, flattened and needle-like; whereas, adult photosynthetic leaves are triangular or semi-circular needle-like, and grow in whorls on secondary or tertiary compact dwarf shoots. By comparison, J. flaccida juvenile leaves are decurrent and needle-like, and adult leaves are compact, short and scale-like. Comparative analyses were performed to evaluate differences in anatomy and gene expression patterns between developmental phases in both species. RNA from twelve samples was sequenced and analyzed with available software. They were assembled de novo from the RNA-Seq reads. Following assembly, 63,741 high quality transcripts were functionally annotated in P. cembroides and 69,448 in J. flaccida. Evaluation of the orthologous groups yielded 4,140 shared gene families among the four references (adult and juvenile from each species). Activities related to cell division and development were more abundant in juveniles than adults in P. cembroides, and more abundant in adults than juveniles in J. flaccida. Overall, there were 509 up-regulated and 81 down-regulated genes in the juvenile condition of P. cembroides and 18 up-regulated and 20 down-regulated in J. flaccida. Gene interaction network analysis showed evidence of co-expression and co-localization of up-regulated genes involved in cell wall and cuticle formation, development, and phenylpropanoid pathway, in juvenile P. cembroides leaves. Whereas in J. flaccida, differential expression and gene interaction patterns were detected in genes involved in photosynthesis and chloroplast biogenesis. Although J. flaccida and P. cembroides both exhibit leaf heteroblastic development, little overlap was detected and unique genes and pathways were highlighted in this study.

Flash floods (FF) and urban waterlogging (UW) hazards pose a serious threat to citizens and property, becoming a global challenge. However, the rainstorm patterns that influence the urban flood process associated with both FF and UW are still not well understood. This paper utilized and verified a continuous hydrologic-hydraulic model to determine the FF hydrographs, inundation indicators, and statistical relationship of surface inundation under different return periods as well as rainstorm patterns in a mountainous city experiencing both FF and UW. The results show that the effects of the rain peak coefficients on FF hydrographs and urban surface inundation indicators are relatively similar. FF volumes and urban inundation severity increases with an increasing rain peak coefficient, while the lag time of FF hydrograph and inundation depth becomes shorter. The effect of rainstorm patterns on surface inundation has been considerably amplified by FF, especially for high return periods and inundation areas with a high-water depth. When FF and UW superimpose on urban inundation, the impact of the rainstorm patterns on the spatial distribution of the inundation lag time shows a distinctive response due to the different district topographies on the FF propagation pathway. Furthermore, FF dominated the total inundation volume and thus, significantly increases the surface inundation spatial connection of different locations. The exponential relationships for maximum inundation depth of many flooding vulnerable points were found. The key findings of this study provide a readymade technical tool and thus aid decision-makers in managing urban flood problems on a basin scale.

Water quality dynamics depend strongly on hydrologic flow paths and transit time within catchments. In this paper we use a travel time tracking method to simulate stream salinity (as measured by electrical conductivity) in the Duck River catchment, NW Tasmania, Australia. The approach couples the StorAge transit time modelling approach with two different approaches to model electrical conductivity. The first assumes the catchment has a cyclic salt balance (rainfall source, stream flow sink) that is in dynamic equilibrium and evapoconcentration of salt is the only process changing concentration. The second assumes that the salinity of water in catchment storages is a function of water age in those stores, without explicitly simulating salt mass balance processes. The paper compares these alternate approaches in terms of salinity simulation, simulated stream water age distributions, and simulated storage age distributions. Both salinity simulation approaches reproduce stream salinity with high fidelity under calibration and perform well under validation. The simulations using the age-related solute concentration approach produce less biased results and thus high model efficiencies for validation periods. This approach also produces more consistent model parameter estimates between periods. There are systematic differences in the resultant age distributions between models, particularly for the solute balance based simulations where parameters (catchment storage size) changed more between calibration periods. The effect of time varying versus static storage selection functions are compared, with clear evidence that time varying storage selection functions with parameters linked to catchment conditions (flow) are essential for adequate simulation of event concentration dynamics.

Groundwater, as a precious fresh water resource, has a profound impact on the social and economic development in coastal areas. Western Yellow Sea coast (WYSC), located in the eastern part of China, is one of the most prosperous areas of China’s economic development and has a great demand for water. WYSC is currently under increasing pressure from groundwater pumped for regional development, and sustainable water management throughout the region must be based on an understanding of the hydrochemical processes that determine the quality of groundwater. This study taking WYSC as the study area, 160 groundwater samples were collected in the field and the content of Ca2+, Mg2+, Na+, K+, Cl-, SO42-, HCO3-, F, Br, δ2H and δ18O in groundwater were tested. The groundwater chemical characteristics, sources of groundwater substances, hydrogeochemical processes and the difference between the Shandong part (SDP) and Jiangsu part (JSP) were studied. The result shows that the content sequence of main cations and anions in groundwater of WYSC are Na+ > Ca2+ > Mg2+ > K+ and HCO3- > Cl- > SO42-. The hydrochemical types of WYSC groundwater are mainly Cl-Na, Cl-Ca, HCO3-Na and HCO3-Ca. The main recharge source of groundwater in the WYSC is precipitation, and the seawater and evaporation also affect the recharge process. The main sources of dissolved substances in groundwater in the WYSC are mineral dissolution, evaporation and seawater. The groundwater in SDP is affected by modern seawater intrusion, while that in JSP may be affected by ancient seawater intrusion. The dissolution and precipitation of various minerals in the groundwater in the WYSC are affected not only by regional conditions but also by seawater intrusion.

We combine physics-based groundwater reactive transport modeling with machine learning techniques to quantify hydrogeologic model and solute transport predictive uncertainties. We train an artificial neural network (ANN) on a dataset of groundwater hydraulic heads and 3H concentrations generated using a high-fidelity groundwater reactive transport model. Using the trained ANN as a surrogate model to reproduce the input-output response of the high-fidelity reactive transport model, we quantify the posterior distributions of hydrogeologic parameters and hydraulic forcing conditions using Markov-chain Monte Carlo (MCMC) calibration against field observations of groundwater hydraulic heads and 3H concentrations. We demonstrate the methodology with a model application that predicts Chlorofluorocarbon-12 (CFC-12) solute transport at a contaminated site in Wyoming, USA. Our results show that including 3H observations in the calibration dataset reduced the uncertainty in the estimated permeability field and infiltration rates, compared to calibration against hydraulic heads alone. However, predictive uncertainty quantification shows that CFC-12 transport predictions conditioned to the parameter posterior distributions cannot reproduce the field measurements. We found that calibrating the model to hydraulic head and 3H observations results in groundwater mean ages that are too large to explain the observed CFC-12 concentrations. The coupling of the physics-based reactive transport model with the machine learning surrogate model allows us to efficiently quantify model parameter and predictive uncertainties, which is typically computationally intractable using reactive transport models alone.

Coupled Hydrologic & Hydraulic (H&H) models have been widely applied to simulate both discharge and flood inundation due to their complementary advantages, yet the H&H models oftentimes suffer from one-way and weak coupling and particularly disregarded run-on infiltration or re-infiltration. This could compromise the model accuracy, such as under-prediction (over-prediction) of subsurface water contents (surface runoff). In this study, we examine the H&H model performance differences between the scenarios with and without re-infiltration process in extreme events¬ – 100-year design rainfall and 500-year Hurricane Harvey event – from the perspective of flood depth, inundation extent, and timing. Results from both events underline that re-infiltration manifests discernable impacts and non-negligible differences for better predicting flood depth and extents, flood wave timings, and inundation durations. Saturated hydraulic conductivity and antecedent soil moisture are found to be the prime contributors to such differences. For the Hurricane Harvey event, the model performance is verified against stream gauges and high water marks, from which the re-infiltration scheme increases the Nash Sutcliffe Efficiency score by 140% on average and reduces maximum depth differences by 17%. This study highlights that the re-infiltration process should not be disregarded even in extreme flood simulations. Meanwhile, the new version of the H&H model – the Coupled Routing and Excess STorage inundation MApping and Prediction (CREST-iMAP) Version 1.1, which incorporates such two-way coupling and re-infiltration scheme, is released for public access.

Midwestern cities require forecasts of surface nitrate loads to bring additional treatment processes online or activate alternative water supplies. Concurrently, networks of nitrate monitoring stations are being deployed in river basins, co-locating water quality observations with established stream gauges. Here, we construct a synthetic data set of stream discharge and nitrate for the Wabash River Basin - one of the U.S.’s most nutrient polluted basins - using the established Agro-IBIS model. While real-world observations are limited in space and time, particularly for nitrate, the synthetic data set allows for sufficiently long periods to train machine learning models and assess their performance. Using the synthetic data, we established baseline 1-day forecasts for surface water nitrate at 12 cities in the basin using support vector machine regression (SVMR; RMSE 0.48-3.3 mg/L). Next, we used the SVMRs to evaluate the improvement in forecast performance associated with deployment of additional sensors. Synthetic data enable us to quantitatively assess the expected value of an additional nitrate sensor being deployed, which is, of course, not possible if we are limited to the present observational network. We identified the optimal sensor placement to improve forecasts at each city, and the relative value of sensors at all possible locations. Finally, we assessed the co-benefit realized by other cities when a sensor is deployed to optimize a forecast at one city, finding significant positive externalities in all cases. Ultimately, our study explores the potential for AI to make short-term predictions and provide an unbiased assessment of the marginal benefit and co-benefits to an expanded sensor network. While we use water quantity in the Wabash River Basin as a case study, this approach could be readily applied to any problem where the future value of sensors and network design are being evaluated.

With global warming and rapid urbanization, urban agglomerations over the Loess Plateau (LP) are suffering from various urban disasters. Urbanization has aggravated the decreasing trends of extreme precipitation in Taiyuan and Xi’an urban agglomerations (UAs) and enhanced the increasing trends of extreme precipitation in Luoyang, Hohhot and Xining UAs during 1979–2018. Meanwhile, the number of light rain days decreases in almost all the cities, indicating the sensitivity of light rain days to urbanization. The climate change is a primary contributor to the change of urban precipitation during 1980–2000. However, the urbanization contribution has been increasing gradually since 2000, and the urbanization further amplifies the trend of extreme precipitation caused by the climate change. In terms of the physical mechanisms, the rapid increasing surface temperature and aerosol particles are closely related to the urban precipitation. Our findings provide a systematic understanding of the urbanization effects on the extreme precipitation over the LP and may play an important role in the mitigation of urban disasters.

The hydraulic properties of coastal aquifer systems are relevant to various hydrogeological, hydro-ecological and engineering problems. This study presents an analytical solution for predicting groundwater head fluctuations induced by dual-tide in multilayered island aquifer systems, consisting of an unconfined aquifer on the top and any number of leaky aquifers below. The solution was derived via the methods of matrix differential calculus and separation of variables. It is more general than any existing analytical solutions for the tidal pressure propagation since the new solution can consider multilayered aquifer systems along with the effects of leakage and aquifer length. Using this solution, we illustrated potential errors that may occur due to neglecting one or more vital factors affecting groundwater fluctuations. Besides, we articulated the groundwater response to the dual-tide in complex coastal aquifers. Considering that some thin semipermeable layers may be ignored in practical field investigation, we also demonstrated the effects due to simplification of aquifer layers. The results showed that with the increase in the number of overlapped leaky layers, the tidal propagation in the bottom part of multilayered aquifer system approaches that in a single confined aquifer with the same transmissivity and storage.

Bioretention is a type of green stormwater infrastructure for the urban environment that mimics a natural hydrologic system by reducing peak flows and runoff volumes and encouraging infiltration and evapotranspiration. This study examines the complete water balance of a bioretention system located in Vaughan, Ontario, Canada, between 2018 and 2019. The water balance was further broken down by event size, where the event size was determined by rainfall frequency analysis. Recharge was the largest component of the water balance overall (86 % of inflow), as well as by event size. Evapotranspiration was the next largest water balance component (7 % of inflow overall), and was a significant component of inflow (21 %) when considering only small events (50 % probability of recurrence). Evapotranspiration is a slow but consistent process, averaging 2.3 mm/day overall and 2.9 mm/day during the growing season. Climate change is likely to bring more wet days and higher temperatures, which will impact the bioretention water balance by increasing evapotranspiration and inflow. Design standards for retention targets should be updated based on the most recent rainfall frequency analyses to adjust for changing climate conditions.

This paper presents a taxonomy (hierarchical organization) of hydrological processes; specifically, runoff generation processes in natural watersheds. Over 120 process names were extracted from a literature review of papers describing experimental watersheds, perceptual models, and runoff processes in a range of hydro-climatic environments. Processes were arranged into a hierarchical structure, and presented as a spreadsheet and interactive diagram. For each process, additional information was provided: a list of alternative names for the same process, a classification into hydrological function (e.g. partitioning, flux, storage, release) and a unique identifier similar to a hashtag. The taxonomy provides a method to label and search hydrological knowledge, thereby facilitating synthesis and comparison of processes across watersheds.

Chorioamnionitis, a common complication of pregnancy is associated with significant maternal, perinatal, and long-term adverse outcomes. This case of placental infection leading to preterm delivery, severe neonatal sepsis, maternal wound infection, postnatal readmission, and prolonged hospital stay was caused by multi-drug resistant Extended Spectrum Beta Lactamase (ESBL)-producing Escherichia Coli

The MC4R is involved in the leptin-melanocortin pathway which mutations can lead to severe forms of obesity. We report one rare mutation p.Met215Ile in a woman with morbid obesity. This mutation leads to changes in protein structure through the loss of hydrophobic interactions and it is predicted to be disease-causing.