A glutamine metabolic switch supports erythropoiesis.

Metabolic requirements vary during development, and our understanding of how metabolic activity influences cell specialization is incomplete. Here, we describe a switch from glutamine catabolism to synthesis required for erythroid cell maturation. Glutamine synthetase (GS), one of the oldest functioning genes in evolution, is activated during erythroid maturation to detoxify ammonium generated from heme biosynthesis, which is up-regulated to support hemoglobin production.

Characteristics of river heatwaves in the Vistula River basin, Europe.

Rivers worldwide are warming due to the impact of climate change and human interventions. This study investigated river heatwaves in the Vistula River Basin, one of the largest river systems in Europe using long-term observed daily river water temperatures from the past 30 years (1991-2020). The results showed that river heatwaves are increased in frequency and intensity in the Vistula River Basin.

Streamflow trends and flood frequency analysis: a regional study of the UK.

In recent years, the escalating effects of climate change on surface water bodies have underscored the critical importance of analyzing streamflow trends for effective water resource planning and management. This study conducts a comprehensive regional investigation into the streamflow rate trends of 18 rivers across the United Kingdom (UK). An enhanced Mann-Kendall (MK) test was employed to meticulously analyze both rainfall and streamflow trends on monthly and annual scales.

T1 relaxation: Chemo-physical fundamentals of magnetic resonance imaging and clinical applications.

A knowledge of the complex phenomena that regulate T1 signal on Magnetic Resonance Imaging is essential in clinical practice for a more effective characterization of pathological processes. The authors review the physical basis of T1 Relaxation Time and the fundamental aspects of physics and chemistry that can influence this parameter. The main substances (water, fat, macromolecules, methemoglobin, melanin, Gadolinium, calcium) that influence T1 and the different MRI acquisition techniques that can be applied to enhance their presence in diagnostic images are then evaluated.

Analysis, design, and maintenance of isolation valves in water distribution networks: State of the art review, insights from field experiences and future directions.

Isolation valves play a primary role in water distribution networks as their operation enables isolating the part of the network undergoing planned or extraordinary maintenance, in the context of rehabilitation or pipe break repairs, respectively. This paper presents a review of the current state of the art of isolation valves, with a focus on the problems of analysis, e.g.

A case of frontal lobe seizures with 'dancing-like' semiology.

Background And Purpose: 'Dancing-like' semiology is extremely rare and described in few case reports. It is characterized by rhythmic, oscillatory movements of the pelvis and/or limbs during which the subject appears to be dancing. It has been associated with both the frontal and temporal epileptic zone; however, the possible network involved in these fascinating seizures is unclear.

Worldwide Heterogeneity of Food Allergy: Focus on Peach Allergy in Southern Italy.

Food allergy (FA) has shown an increasing prevalence in the last decades, becoming a major public health problem. However, data on the prevalence of FA across the world are heterogeneous because they are influenced by several factors. Among IgE-mediated FA, an important role is played by FA related to plant-derived food which can result from the sensitization to a single protein (specific FA) or to homologous proteins present in different foods (cross-reactive FA) including non-specific lipid transfer proteins (nsLTPs), profilins, and pathogenesis-related class 10 (PR-10).

An optimized NARX-based model for predicting thermal dynamics and heatwaves in rivers.

The thermal dynamics within river ecosystems represent critical areas of study due to their profound impact on overall aquatic health. With the rising prevalence of heatwaves in rivers, a consequence of climate change, it is imperative to deepen our understanding through comprehensive research efforts. Despite this urgency, there remains a noticeable dearth in studies aimed at refining modeling techniques to precisely characterize the duration and intensity of these events.

Eosinophilic Patterns in Patients with Seasonal Allergy Affected by Bronchial Asthma and Rhinitis/Rhinosinusitis: Efficacy of Benralizumab in Patients with the Persistent Pattern.

Background: Eosinophilia can be influenced by multiple factors. This study aims to set a protocol for monitoring blood absolute eosinophil count (AEC) in patients with seasonal allergy affected by bronchial asthma (BA), allergic rhinitis (AR), or chronic rhinosinusitis with or without nasal polyposis (CRSw/sNP).

Methods: We planned a total of four annual blood samples to measure AEC in- and out-seasonal pollen exposure (i.

NUP85 as a Neurodevelopmental Gene: From Podocyte to Neuron.

Pathogenic gene variants encoding nuclear pore complex (NPC) proteins were previously implicated in the pathogenesis of steroid-resistant nephrotic syndrome (SRNS). The gene, encoding nucleoporin, is related to a very rare form of SRNS with limited genotype-phenotype information. We identified an Italian boy affected with an SRNS associated with severe neurodevelopmental impairment characterized by microcephaly, axial hypotonia, lack of achievement of motor milestones, and refractory seizures with an associated hypsarrhythmic pattern on electroencephalography.

The Telltale Botox: Botulinum Toxin Injection by an Expert Hand as an Intracranial Aneurysm Detector.

Complications in aesthetic medicine can be considered a consequence of the inexperience of the performing physician, but in some cases, they can unveil far more serious conditions, hitherto silent. We present a case of a 48-year-old patient who, following botulinum toxin type A (Botox) injection for treatment of forehead wrinkles, returned to our attention 12 days later for a discrete, newly onset right eyelid ptosis. This ptosis was a telltale sign of the presence of an intracranial aneurysm closely related with the oculomotor nerve.

The real-world effectiveness of intravenous brivaracetam as a second-line treatment in status epilepticus.

Purpose: Status epilepticus (SE) is defined by abnormally prolonged seizures that may lead to brain damage and death. Our aim was to evaluate the efficacy and tolerability (effectiveness) of intravenous brivaracetam (BRV) as a second-line treatment.

Methods: Twenty-one patients (median age 68 years ± 17.

A novel optimized model based on NARX networks for predicting thermal anomalies in Polish lakes during heatwaves, with special reference to the 2018 heatwave.

In 2018, Europe experienced one of the most severe heatwaves ever recorded. This extreme event's impact on lake surface water temperature (LSWT) in Polish lakes has largely remained unknown. In this study, the impact of the 2018 European heatwave on LSWT in 24 Polish lakes was investigated based on a long-term observed dataset (1987-2020).

Social Skills and Cognitive Training to Support Work-Related Skills and Job Placement in a Group of Autistic Adults : Effectiveness of a Neuropsychological and Social Skills Intervention: A Case Series Study on a Pilot Program.

Autistic people may have difficulties in finding and keeping a job. Studies highlight that only 34% of autistic people are employed compared to 54% of people with disability. 58% of people with ASD have never had a job.

A stacked machine learning model for multi-step ahead prediction of lake surface water temperature.

Lake surface water temperature is one of the most important physical and ecological indices of lakes, which has frequently been used as the indicator to evaluate the impact of climate change on lakes. Knowing the dynamics of lake surface water temperature is thus of great significance. The past decades have witnessed the development of different modeling tools to forecast lake surface water temperature, yet, simple models with fewer input variables, while maintaining high forecasting accuracy are scarce.

Short-term forecasts of streamflow in the UK based on a novel hybrid artificial intelligence algorithm.

In recent years, the growing impact of climate change on surface water bodies has made the analysis and forecasting of streamflow rates essential for proper planning and management of water resources. This study proposes a novel ensemble (or hybrid) model, based on the combination of a Deep Learning algorithm, the Nonlinear AutoRegressive network with eXogenous inputs, and two Machine Learning algorithms, Multilayer Perceptron and Random Forest, for the short-term streamflow forecasting, considering precipitation as the only exogenous input and a forecast horizon up to 7 days. A large regional study was performed, considering 18 watercourses throughout the United Kingdom, characterized by different catchment areas and flow regimes.