In semi-arid landscapes, water regimes play a critical role in shaping patterns of vegetation regeneration. In riparian and floodplain habitats, however, the importance of flooding versus rainfall is poorly established for many species and habitats. Here, we present the results of a field experiment designed to investigate the establishment responses of both Eucalyptus camaldulensis (river red gum) seedings and understory vegetation to different hydrological conditions within two contrasting habitat types. We ran a field experiment in these habitats along the Condamine River in the northern Murray-Darling Basin in eastern inland Australia. We imposed flooding, rainfall, and drought treatments on 180 seedlings of E. camaldulensis and extant understory vegetation in 18 experimental plots to examine seedling survival and the establishment and dynamics of understory plant assemblages over nine months. Although there was very high seedling mortality overall, our results were consistent with findings from elsewhere in the Murray-Darling Basin indicating that flooding is a critical factor driving the survival of E. camaldulensis seedlings and the resilience of understory vegetation cover and diversity. Although the chance of seedling survival up until ten weeks was higher in the riparian habitat than in the floodplain old-field, the effect of habitat type was reduced under flooded conditions. Despite the low numbers of surviving E. camaldulensis seedlings, the value of a few successfully established trees on old-fields should not be underestimated, nor the potential effects of flooding on restoring the understory. This research highlights that rainfall is unlikely to provide sufficient watering in these habitats for vegetation regeneration.

The poor mixing in purification process is a serious problem which cannot be avoided in treatment of zinc-containing solid waste. Here, to enhance the purification efficiency of zinc-containing solid waste treatment reactor, multi-blade combined (MBC) paddles are compared with four straight-blade paddles which are traditionally chosen by industry. This study simulated and explored the flow field characteristics and purification effects, further proposes the unit ion purification energy (UIPE) as a criterion for energy consumption and effect evaluation. The results show that MBC enhances axial flow by 12.56 %. Meanwhile it effectively inhibits the growth of isolated mixing region which scope has decreased by 56.25%. MBC increases the purification rate by 24.79% while the UIPE decreases by 29.45% compared with others. MBC has exhibited axial velocity improvement effect. The improvement increases collisions between particles, which increased rate of substitution reactions. MBC can solve the problem in zinc-containing solid waste treatment.

This work considers a seeded fesoterodine fumarate (FF) cooling crystallization and presents the methodology and implementation of a real-time machine learning modeling-based predictive controller to handle batch-to-batch (B2B) parametric drift. Specifically, an autoencoder recurrent neural network-based model predictive controller (AERNN-MPC) is developed to optimize product yield, crystal size, and energy consumption while accounting for the physical constraints on cooling jacket temperature. Deviations in the kinetic parameters are considered in the closed-loop simulations to account for the B2B parametric drift, and two error-triggered online update mechanisms are proposed to address issues pertaining to the availability of real-time crystal property measurements and are incorporated into the AERNN-MPC to improve the model prediction accuracy. Closed-loop simulation results demonstrate that the proposed AERNN-MPC with online update, irrespective of the accessibility to real-time crystal property data, achieves a desired closed-loop performance in terms of maximizing product yield and minimizing energy consumption.

Er is veel duidelijk over het opbouwen van antidepressiva, maar die kennis ontbreekt nog al eens bij het afbouwen.  Het afbouwen van antidepressiva is daarnaast ook niet altijd even eenvoudig voor patiënten die opzien tegen het afbouwen, bij wie een eerdere poging niet is gelukt of bij wie angst bestaat dat oorspronkelijke klachten terugkomen. Volgens de huidige behandelrichtlijnen moet het gebruik van antidepressiva worden voortgezet tot minstens 6 maanden na remissie van een eerste depressieve episode. Na deze periode is het echter niet duidelijk of, wanneer en bij wie stopzetting van antidepressiva effectief is. In dit artikel staat het langzaam en lager afbouwen van antidepressiva centraal, maar wordt ook aandacht besteed aan langdurig gebruik van en het (vroegtijdig) stoppen met antidepressiva.

We reported an association between SARS-CoV-2 infection and Guillain-Barre´ syndrome (GBS). From 37 patients with GBS, Previous SARS-CoV-2 infection clues, including fever, cough, and diarrhea were recorded in 18 patients. Among them, SARS-CoV-2 IgG was detected in 7 patients, considered confirmed cases. SARS-CoV-2 PCR was positive in just 1 patient.

Hemophagocytic Lympho-histiocytosis (HLH) is a rare life-threatening condition characterized by widespread activation of the immune system leading to tissue damage all over the body.

Myositis ossificans circumscripta (MOC) is a benign, self-limiting heterotopic ossification in the subcutaneous fat, tendons, muscles, and nerves. It is commonly due to trauma and is frequently encountered in the arm, shoulder, thigh, and hand which are prone to trauma. Non-traumatic MOC arising from the abdominal muscles is extremely rare

The expected number of hip fractures worldwide will rise from 1.7 million in 1990, to 6.3 million in 2050. In parallel, surgical complications are expected to increase. We describe a rare complication of intrapelvic migration of the lag screw from trochanteric nail in a 90-year-old patient.

A 17-year-old male with chest tightness and dyspnea due to a unique bronchopulmonary foregut malformation that had a bronchogenic cyst. An extralobar lung sequestration was discovered during uniportal thoracoscopic surgery accidently. The patient was discharged after 3 days of uneventful recovery course.

we report a case of lower extremity hemorrhage refractory to usual methods of bleeding control, which was controlled using a Folley catheter which was placed in to external iliac artery.

While plant pathogens are traditionally controlled using synthetic agrochemicals the availability of commercial bactericides is still limited. One potential control strategy could be the use of plant-growth-promoting bacteria (PGPBs) to suppress pathogens via resource competition or the production of antimicrobial compounds. This study aimed to conduct in vitro and in vivo screening of eight Pseudomonas strains against Ralstonia solanacearum (the causative agent of bacterial wilt) and to investigate underlying mechanisms of potential pathogen suppression. We found that inhibitory effects were Pseudomonas strain-specific, with strain CHA0 showing the highest pathogen suppression. Genomic screening identified 2, 4-diacetylphloroglucinol (DAPG), pyoluteorin, and orfamides A and B secondary metabolite clusters in the genomes of the most inhibitory strains, which were investigated further. While all these compounds suppressed R. solanacearum growth, only Orfamide A was produced in the growth media based on mass spectrometry. Moreover, orfamide variants extracted from Pseudomonas cultures showed high pathogen suppression. Using the Micro Tom tomato cultivar, it was found that CHA0 could reduce bacterial wilt disease incidence with one of the two tested pathogen strains. Together, these findings suggest that a better understanding of Pseudomonas-Ralstonia interactions in the rhizosphere is required to successfully translate in vitro findings into agricultural applications.

The result of the study includes the data obtained by analyzing a clinical case of upper mesenteric artery syndrome, as well as statistical data and analysis of the literature in this field. The specificity of this case consists in the severity of the complication of a benign malformative disease.

Afforestation has been viewed as the most effective natural measure to restore the erosive degraded ecosystems. However, the role of soil inherent heterogeneity on soil quality and microbial communities in afforestation remains elusive. Here, three land types of soil were collected and separated into four aggregate sizes to explore the effects of afforestation in erosive degraded ecosystem on soil quality and microbial community at the aggregate level. Afforestation increased soil aggregate stability and aggregate-associated variance of soil nutrients, e.g. OM, TN and TP. Compared to the bareland or farmland, four nutrition-related enzyme activities, including invertase, urease, alkaline phosphatase and catalase, were significantly enhanced in the woodland. Interestingly, afforestation promoted the varies of bacterial alpha-diversity with aggregate size, but had trivial impacts on fungal alpha-diversity, indicating that the aggregational differentiation of bacterial alpha-diversity was more sensitive in response to afforestation than fungal alpha-diversity. For each land-use type, more fungal taxa variation with aggregate size than bacteria. Afforestation also enhanced more microbial taxa, especially fungal taxa, were susceptible to soil aggregate size. Furthermore, afforestation strengthened bacterial and fungal community dissimilarities between adjacent aggregates and non-adjacent aggregates. Our findings contribute to understand the fate of soil quality and microbial communities after vegetation restoration in degraded ecosystems at the soil aggregate scale.

Human Immunodeficiency Virus (HIV), is a lethal virus that infects the human immune system. Once the person gets infected with HIV, the infection will gradually lead to AIDS which attacks the immune system and ultimately causes death if proper precautionary measures are not taken against it. Currently, anti-viral therapies and drugs combined with this are utilized by patients diagnosed with HIV. But with rapid mutation capabilities, the virus showcased resistance to the drugs, therefore, pushing the scientific community to explore a more stable and rapid treatment option for HIV. Recently, the utilization of CRISPR Cas technologies for genetic modification, disease diagnosis, disease treatment, and biosensing technologies has greatly increased due to their numerous advantages. This review focuses on the working mechanism of CRISPR Cas13a that is divided into its stages followed by the conventional methods used for HIV treatment, we also highlighted the potential applications that use Cas13 protein for its working principle and finally the usage of Cas13a towards HIV diagnosis, treatment, and prospects of this technology.

Abstract Background: Atrial fibrillation (AF) is the most common cardiac arrhythmia following coronary artery bypass grafting (CABG). We hypothesized that measures of left atrial (LA) function would be useful in predicting AF in patients undergoing CABG. Methods and Results In the study, 611 patients were included after CABG. All patients had echocardiograms performed preoperatively and LA functional measurements were assessed. These measurements were LA maximum volume index (LAVmax), LA minimum volume index (LAVmin) and LA emptying fraction (LAEF). The endpoint was AF occurring >14 days after surgery. During the follow-up period of a median of 3.7 years, 52 (9%) developed AF. The mean age was 67 years, 84% were male and the average left ventricle ejection fraction was 50 %. No differences were observed between the patients developing AF and those who did not develop AF. No functional LA measurements were significant predictors of AF in the whole CABG population. However, in patients with normal-sized LA (n=532, events: 49), both LAEF and LAVmin were univariable predictors of AF. When the functional measurements were adjusted for the CHADS 2 score, both LAVmin (HR=1.07 (1.01-1.13), p=0.014 ) and LAEF (HR: 1.02 (1.00-1.03, p= 0.023)), remained significant predictors. Conclusion No echocardiographic measurements were significant predictors of AF after CABG. In patients with a normal LA size, LAVmin as well as LAEF were significant predictors of AF. Keywords: atrial fibrillation; cardiac surgery; left atrium; echocardiography

Objectives: Pulmonary artery pressure measurement is key to verifying the success of a rat model of pulmonary hypertension(PH). Herein, a novel method for measuring pulmonary artery pressure through high-frequency ultrasound-guided transthoracic puncture was demonstrated in rats. The efficacy and time of this novel method were also discussed. Methods: A single subcutaneous injection of monocrotaline was used to establish a rat model of PH. The tip of that puncture cannula was maintained at a certain angle after the needle core was removed through heat shaping method. In the short-axis section of the parasternal aorta, in-plane real-time guided trocar puncture of the right ventricular outflow tract was performed. The external pressure sensor was used to record the real-time waveform, right ventricular systolic pressure, pulmonary artery systolic pressure, and diastolic pressure. Results: The success rates of using this novel method in the model group and the control group were 88.5% and 86.7%, respectively, and the puncture pressure measurement times were 164 ± 31s and 235 ± 50s, respectively. The model group’s right ventricular systolic blood pressure, pulmonary systolic blood pressure, and diastolic blood pressure were higher than those of the control group. Conclusions: The modified method for trocar is helpful for accurately positioning pulmonary artery manometry. The method described in this paper has a high success rate and short operation time. It has a broad application prospect in verifying rat PH model and pulmonary artery pressure monitoring.

Buffer strips continue to feature in the management of agricultural runoff and water pollution in many countries. Existing research has explored their efficacy for reducing environmental problems in different geoclimatic settings but, the evidence on the efficacy of different vegetation treatments is less abundant than that for other buffer strip characteristics, including width, and is more contradictory in nature. With policy targets for various environmental outcomes including water or air quality and net zero pointing to the need for conversion of agricultural land, the need for robust experimental evidence on the relative benefits of different vegetation types in buffer strips is now renewed. Our experiment used a replicated plot scale facility to compare the efficacy of 12 m wide buffer strips for controlling runoff and suspended sediment loss during 30 sampled storms spanning 2017-2020. The buffer strips comprised three vegetation treatments; a deep rooting grass ( Festulolium cv. Prior), a short rotation coppice willow and native broadleaved woodland trees. Over the duration of the monitoring period, reductions in total runoff, compared with the experimental control, were in the order: willow buffer strips (49%); deciduous woodland buffer strips (46%); grass buffer strips (33%). The corresponding reductions in suspended sediment loss, relative to the experimental control, were ordered: willow buffer strips (44%) > deciduous woodland buffer strips (30%) > grass buffer strips (29%). Given the three-year duration of our new dataset, our results should be seen as providing evidence on the impacts during the establishment phase of the of the treatments.

The Tibetan macaque (Macaca thibetana) is an endemic macaque species in China belonging to the sinica group in genus Macaca. Here, we report the first chromosome-level genome assembly for the Tibetan macaque using PacBio long-read sequencing and Hi-C technology. The assembled Tibetan macaque genome was 2.82 Gbp in size with contig N50 of 48.75 Mbp and scaffold N50 of 150.62 Mbp, which was anchored to 22 chromosomes. Compared to the chromosome-level genome of rhesus macaque and cynomolgus macaque, the genome size of the Tibetan macaque is the smallest and the assembly quality is the best. A total of 22,485 protein-coding genes and 1.33 Gbp repeat sequences were annotated in the Tibetan macaque genome. Phylogenetic analysis indicated the Tibetan macaque was closely related to the stump-tailed macaque and diverged from a common ancestor 5.06 million years ago. A total of 977 positively selected genes were identified, which were enriched in pathways related to the thyroid, diabetes mellitus, fatty acid biosynthesis and metabolism. Among them, 11 genes associated with tail development and 9 genes associated with body size were found to be under positive selection, which might contribute to short tail and large body size of the Tibetan macaque. The structural variation (SV) analysis between the Tibetan macaque and other macaques identified 6,778 Tibetan macaque-specific SVs. Among them, three deletions and four insertions in six genes might be associated with tail development and body size. The high-quality genome of the Tibetan macaque will benefit further biological and evolutionary studies on primates.

In many parts of South Africa, soil erosion rates are high, and likely to be exacerbated by the longer droughts and more intense rainfall that are predicted in long-term regional climate change scenarios. Suspended sediment loads (SSL) and yields (SSY) are accepted means of expressing and comparing sediment transport and soil erosion rates. Land care and water security initiatives in South Africa require these data to provide benchmarking, and trajectories of change. International researchers began in the 1970s to investigate SSL estimation approaches. These investigations typically used near-continuous turbidity data from installed probes as a surrogate for sampled SS, and auto-samplers to monitor SS concentration and develop sediment rating curves. Biophysical and socio-economic conditions in South Africa differ markedly from the northern hemisphere environments where foundational studies were conducted. SSL estimations in South Africa are associated with extreme hydrological regimes, remote study areas and lack the resources required to collect and analyse representative SS data. There is a dearth of measured SS data, and of observed SSL and SSY for South African catchments. Using measured SS data from the Tsitsa River catchment (Eastern Cape, South Africa) we found that a discharge-weighted interpolation estimator was more appropriate than regression estimators, and that SSY responses to biophysical factors were in some ways more similar to northern hemisphere norms than expected. Lack of technical, infrastructural, human and financial resources were our main constraints to monitoring and estimating SSY. Our findings highlight the challenges of, and provide some guidance for, estimating directly measured SSL in the southern Africa region and inform future research in resource scarce areas.

Susceptibility to desertification increases as climate change leads to warmer and drier conditions, increasing fire risk and restricting plant growth. In Mainland Portugal, the regions with increasing aridity have also been subject to major changes in the socio-economic tissue, with population loss, larger farm areas and the overreach of irrigated agriculture to marginal lands leading to an increase in land use intensity. However, the last effort to map environmentally sensitive areas to desertification in mainland Portugal was in 2004. This study aims to apply an adapted Medalus method for mapping environmentally sensitive areas to desertification at the national level in mainland Portugal over twenty years (2000-2020). Results show both an increase in areas susceptible to desertification (58% to 74% of the country) and in intensity (50% to 59% of the area classified as ‘very highly’ or ‘critically’ susceptible). Desertification is a growing threat, especially for rural areas in inner and southern Portugal. This is mainly due to increasing aridity and land use intensity. Future studies should focus on understanding the controlling factors at the landscape and property scale, as well as including other variables such as soil carbon content and land management practices.

Fast and accurate prediction of river topography is very important for river management and channel regulation. In river simulation, river topography prediction is usually performed using either physical or numerical models, but the former is labor-intensive and the latter suffers from computational efficiency problems. In recent years, machine learning has introduced new insights into many fields, and with the upgrading and development of emerging topographic measurement technologies, high-frequency river topographic data acquisition has become possible, as has the introduction of machine learning algorithms in river topographic prediction problems. In this study, three machine learning models are developed for river topography prediction under four different data abundance conditions, and the prediction results of different models are evaluated. The results show that the effect of data abundance on prediction accuracy is much greater than that of machine learning models in the river topography prediction problem, and all three machine learning models can achieve satisfactory accuracy when the data abundance is sufficient. The prediction accuracy and robustness increase with the complexity of machine learning models. As the data abundance decreases, the prediction accuracy of the machine learning models gradually decreases, and the prediction accuracy of the more complex machine learning models gradually approaches or is even lower than that of the less complex machine learning models. The model prediction error contours also show that the errors are spatially correlated and distributed in strips along the river flow direction. This work improves understanding of the effect of data abundance and model selection on river topography prediction problems. It also contributes to the introduction of machine learning models into river simulation as well as the advancement of river bathymetry equipment and techniques.

Face masks and respirators are commonly used to prevent the transmission of infectious diseases that spread by respiratory droplets and aerosols. However, there is still uncertainty about the protective effect of the different types of masks against virus containing aerosols. To determine the as-worn bioprotection efficacy of different face coverings and estimate the possible protective function against airborne diseases, we challenged different respirators and medical masks on a standardized dummy head with a bioaerosol containing MS2 bacteriophages as virus surrogates. In our experiments, FFP2 respirators showed the highest filtration efficacy 94.45±4.47 (SD) % followed by medical masks 92.83±3.34 (SD) % and KN95 respirators 90.08±6.64% (SD) %. Nevertheless, we found no statistically significant difference between respirators and medical masks in terms of provided protection against infective aerosols. Our findings indicate, that both respirators and medical masks provide a high as-worn bioprotection efficacy against virus containing aerosols, and therefore, a very high protection against airborne diseases. Considering the higher comfort, better availability, and lower price of medical masks in contrast to respirators, it is recommendable to use medical face masks especially in low risk situations and in general public.

Osteoporosis has become a major public health problem and bisphosphates treatment for osteoporosis is a rapidly developing research field. Every year, many studies are devoted to the treatment of osteoporosis, which makes clinicians have a new understanding of bisphosphates treatment for osteoporosis. However, the quality of the scientific papers in this area is unclear. The aim of the present study was to characterize the 100 top-cited articles regarding bisphosphates treatment for osteoporosis. This analysis provides an accessible list for practitioners of endocrinology, pharmacy, epidemiology, imaging, surgery and scientific research to identify the most frequently cited literature, and better understand the future direction.

Introduction: Relative bradycardia(RB) is a relatively low heart rate response to rise in body temperature that occurs in several infectious diseases and can be an important clinical sign. In previous case reports, RB was presented in some patients with COVID-19. Objective and Methods: To investigate the correlation between temperature and heart rate, we retrospectively reviewed 249 febrile patients with documented COVID-19 patients. RB was defined as a rise in the heart rate (HR) from a basal HR of less than 10 beats/minute/°C rise in temperature. Results: In this study, the prevalence of RB in patients with COVID-19 was 60.6%. When the HR at peak temperatures for patients with COVID-19 were compared with reference valve (general temperature-heart rate response in infectious disease), our findings demonstrate a relatively lower heart rate at all peak temperatures recorded. Despite differences in HR response, there were not significant differences in clinical outcomes (pulmonary manifestation, ICU care, Death). Conclusion: Most patients with COVID-19 are associated with relative bradycardia, not related to clinical outcomes. RB in COVID-19 can be considered as the clinical features for differential diagnosis from other febrile conditions.