INTRODUCTIONPsoriasis is a chronic papulosquamous skin disease that has a prevalence ranging from 0.1% to 1.5% and may present at any age.1Its rare variant, juvenile-onset pustular psoriasis, is a recalcitrant disease with a unique immunopathogenesis and morphology, unlike its more prevalent plaque-type counterpart and is often resistant to conventional systemic therapy.2, 3Methotrexate is a drug that has cytotoxic, anti-inflammatory and immune-modulatory activities that provide clinical benefits in the therapy of psoriasis.4

The current review discusses all of the procedures used to increase fertility and ovulation rate during the breeding season or early breeding season in order to produce a large number of foals in a single season. Mare is a seasonal long-day breeder. The age of a mare can impact its reproductive function due to a decrease in the amount of pre-ovulatory follicles, resulting in a reduced pregnancy rate per estrus cycle. Horses are seasonal breeders; mares’ yearly breeding season and circannual rhythm are governed by photoperiod in conjunction with melatonin production. Horses are seasonal breeders; mares’ yearly breeding season and circannual rhythm are governed by photoperiod in conjunction with melatonin production. Equine pituitary extract (EPE), which contains eFSH and eLH, has been shown to promote ovulation in seasonally anestrous mares. GnRH or its analogues cause the anterior pituitary gland to produce LH and FSH, which cause ovulation in seasonally anestrus mares. Native progesterone and synthetic progestogens are utilized in anestrous mares to promote estrus and to synchronize ovulation, making them more susceptible to breeding or embryo transfer. In addition to pituitary gonadotropin, other mechanisms influencing seasonal ovarian activity include prolactin, dopamine, and gonadotropin impact. Stallions are the foundation of equine breeding programs, with selection based on pedigree, performance, conformation, and temperament. Dietary supplementation has been the primary emphasis in addressing animal reproduction issues. Similar to working horses, stud horses require a 10% increase in diet consisting of hay, oats, or lucerne, as well as unlimited access to pasture grass.

India faces significant obstetrics related morbidity and mortality. This burden is largely addressed through the healthcare delivery via Primary Health Centres (PHCs). This scoping review aims to identify challenges in delivering obstetrics care within PHCs in India, using the WHO healthcare building blocks. A literature search covered PubMed, MEDLINE databases, and Google Scholar. Studies published from 2012 to 2022 were included based on predefined criteria. Study screenings were conducted using Covidence. Data extraction of included studies were done by 4 authors. Twenty-two studies were included for final review, mostly cross-sectional (59%), mainly from the state of Bihar (23%). Service delivery (77%) and health workforce (73%) were the most extensively discussed building blocks. Leadership and governance were the least discussed (14%). Challenges in service delivery encompassed limited antenatal care uptake, inadequate emergency obstetrics care and adjunct services, inadequate infrastructure, equipment and space and poor transport, and onward referral services. Health workforce issues included staffing levels and competency and training deficiencies in existing staff. This review highlights challenges in obstetrics care delivery within PHCs in India, primarily related to service delivery and health workforce. PHCs play a crucial role in the delivery of obstetrics services. Developing obstetrics healthcare strategy or policy needs to acknowledge the role of PHCs and address the challenges faced by PHCs in order to improve maternal health outcomes.

Medication errors cause preventable patient harm with annual costs of USD$42 billion globally. In England, 237 million errors occur annually, accounting for 1700 deaths, with trainee doctors being responsible for the highest proportion of errors. The UK introduced the national Prescribing Safety Assessment (PSA) in 2013 to ensure prescribing competency. Imperial College School of Medicine (ICSM) sought to increase learning opportunities and reduce errors through a monthly Prescribing Practice Questions (PPQs) programme. PSA scores from 2020 (prior to PPQ introduction) to 2024 (first cohort to receive entire PPQ programme), the prescription writing skills (PWS) subsection and applied knowledge test (AKT) scores in 2020 and 2024 were analysed. 1505 students sat the PSA between 2020 and 2024. PSA fails significantly reduced from 2.51% in 2020 to 0% in 2024 (p=0.0054). Median PSA scores significantly improved from 78.5% in 2020 to 84.0% in 2024 (p<0.0001). Median AKT scores decreased between 2020 and 2024 (78.0% vs 74.5%, p<0.0001). Absolute increase in PSA scores from lowest to highest quintiles was 10 percentage points (pp), 7pp, 5pp, 4pp and 1pp, respectively, between 2020 and 2024. Median PWS scores significantly improved from 76.3 % (61/80) in 2020 to 87.5% (70/80) in 2024 (p<0.0001). Since introducing PPQs, PSA and PWS scores have statistically significantly improved, with progressively greater impact on students at the bottom of the performance distribution. Early, targeted and repeated opportunities for authentic prescribing activities, such as the PPQs, in undergraduate training may lead to significant improvement in prescribing competency as determined by the PSA.

This study explores the antiviral properties of high-voltage low-frequency electric field exposure on the replication of human viruses, including Herpes Simplex Virus type 1 (HSV-1), Human Coronavirus OC43 (HCoV OC43), and Influenza A virus (A H1N1). Using the Healectrics™ device (model S02), which operates by applying high-voltage direct current (30-50 kV) with a polarity change frequency of ~0.2 Hz, we investigated the impact on viral infectivity and host cell viability. Virus cultures were exposed to electric fields during different stages: virion adsorption (0-1 hour), intracellular replication (1-8 hours), and both stages. Viral infectivity was assessed through titration, and cytotoxic effects were evaluated using MTT assays. Electric field exposure significantly reduced viral infectivity, particularly during the combined sorption and replication stages, with up to a 90% decrease in viral activity. Among the viruses tested, HCoV OC43 showed the least sensitivity, with a reduction in viral activity by a factor of 5. Comparisons revealed statistically significant reductions for influenza and herpes viruses, and a trend towards significance for HCoV OC43. The electric field treatment did not significantly affect the viability of Vero and MDCK cells, indicating the method’s safety. Our findings suggest that high-voltage low-frequency electric fields can effectively reduce viral infectivity and may serve as a potential therapeutic and preventive measure against a wide range of membrane-bound viruses, including SARS-CoV-2.

Clouds play a pivotal role in the Earth’s climate system, significantly influencing climate dynamics and climate change. Accurate identification and analysis of cloud cover are essential for meteorological research and satellite remote sensing, providing critical insights into climate variability. Despite its importance, cloud detection is challenged by data noise and external factors like ice and snow. Recent advances in artificial intelligence, particularly deep learning techniques, offer promising solutions to these challenges. This research leverages state-of-the-art deep learning models, including UNet, UNet++, ResUNet, and Attention UNet, for feature extraction and semantic segmentation in cloud detection. By generating precise cloud masks that separate clouds from their background, these models outperform traditional methods in accuracy and robustness. The study also underscores the versatility of deep learning in processing optical images beyond cloud detection. In summary, this work integrates climate science with advanced deep learning models, creating a powerful tool for meteorologists, climatologists, and remote sensing experts. The use of metrics like the Jaccard Index and Dice coefficient ensures a comprehensive evaluation of model performance. This research not only enhances our understanding of climate dynamics but also sets a precedent for innovative applications in image processing.

The black mussel Mytilus galloprovincialis is an ideal organism for studying adaptation as it inhabits highly variable environments. We examined its acclimation to long-term osmostress using time-series experimentation and RNA-seq based transcriptomics approaches. In our results, osmotic homeostasis was enhanced by alterations of membrane permeability and nitrogen metabolism. Cholinergic ciliary stimulation and calcium signaling were involved in the response. Genes encoding protein turnover, carbohydrate metabolism/catabolism, nucleotide metabolism, arachidonic acid metabolism, aerobic and anaerobic energy metabolisms, and apoptosis were all inversely regulated with salinity. In addition, we observed two novel metabolic regulations; first, the involvement of anaerobic to aerobic metabolism as previously suggested to exist in bivalves, and second, the regulation of PEPCK with OXPHOS and glycolysis genes. These two regulations are significant due to their similarities to the metabolic regulations seen in cancer cells. Although there are many types/causes of cancer, there are common adaptations that support its survival, including the aforementioned metabolic regulations and apoptosis suppression. In parallel to these regulations, we observed p53 and p63 originated apoptosis with the participation of TP53 apoptosis effector (PERP), TLRs, and TNFSF14. Understanding the genes, pathways and modifications that trigger the mechanism that sets off cell death in this context can be promising for cancer and in developing therapeutic and protective products such as vaccines.

The high electrical conductivity of carbon nanotubes (CNTs) allows them to be used in small amounts as a conductive additive in lithium-ion batteries (LIBs), thereby increasing the reversible capacity of LIBs by adding more active materials to the electrode. Transition metal catalysts are used to synthesize CNTs, but if these catalysts are not at the level of a few parts per million, side reactions may occur. Thus, additional purification processes may be required. Here, CNTs are prepared using an alkali metal catalyst that can be easily removed by dissolving in water or heating, making this process environment-friendly. These CNTs grow in a cup-stacked arrangement, are longer than 5 µm, and have diameters of 10–20 nm. Their physical properties are determined using different spectroscopic and diffraction techniques, and they are electrochemically analyzed as a conductive additive in the cathode of an LIB. Unlike conventional cylindrical CNTs, cup-stacked CNTs possess numerous side planes, which offer sufficient pathways for Li-ion transport, thereby improving the electrochemical properties of the electrode. Such crystallographic characteristics result in approximately 10% higher discharge capacity at all C-rates and ~2% higher rate capability compared with those of commercial CNTs. Therefore, this strategy for producing LIBs is cost-effective and environment-friendly.

Acid fruits such as hog plum and pequi are used as coloring agents in popular culture. An experimental study was carried out with the objective of investigating colorants extracted from fruit peels to color animal tissues, defining the best concentration for pequi extract at 25% and brisket at 20%. If you select and thin your heart, lung, liver and kidney tissues according to your group, Group 1: control; Group 2: ciruela de cerdo extract; Group 3: pequi extract. Groups 2 and 3 formed three subgroups according to the concentration tests. A qualitative and quantitative analysis of the fabrics was carried out. The results demonstrated that extracts of brisket and pequi, in hydroalcoholic concentrations of 70%, were capable of generating color and allowing visualization of the tissue architecture, with a yellow tone, especially in the bristle girdle, tinting the cytoplasm of the tissue

Traditional maritime surveillance often relies on static cameras, limiting coverage and efficiency in detecting vessels. This paper proposes a novel real-time UAV-based vessel detection system that addresses these limitations. The system leverages a Dynamic Camera Control Strategy that overcomes fixed field-of-view constraints by adjusting camera angles based on predefined search patterns, historical data, and real-time sensor feedback. This systematic scanning approach ensures comprehensive coverage, minimizing missed detections. Furthermore, a Feature-Based Prioritization Scheme facilitates real-time target confirmation by analyzing features like size, shape, and, if applicable from additional sensors, other relevant data. This scheme prioritizes promising candidates for further analysis, reducing false positives. By comparing features with a reference vessel stored in the system (using a ResNet50-based module), the system effectively discriminates between vessels and other objects, while movement analysis helps distinguish stationary objects. Our system was evaluated using real-world testing and simulation, demonstrating significant improvements in detection accuracy and processing speed compared to state-of-the-art methods. This research presents a valuable contribution to UAV-based maritime surveillance, enhancing operational efficiency and detection accuracy for various real-world applications.

Fractals have been studied in areas such as mathematics, physics, chemistry, social sciences, computing, economics and biology. Fractal networks have many interesting properties, such as recursive selfsimilarity, that are present in many real networks. In this paper we study the geometrical and topological properties of fractal networks (Sierpiński triangle, the Sierpiński carpet and the Koch snowflake). Furthermore, we establish relationships, in the fractal structures studied, between the geometric properties associated with hyperbolicity and the topological indices.

In this study, we developed a novel preparation method for W-SiC film, an ideal insulation material for sensors, employing in situ laser sintering combined with ink-jet printing. We conducted a comprehensive investigation into the influence of laser power on the microstructural and mechanical properties of the films. Our results indicate that an optimal laser power of approximately 42.5 W produces a compact and well-bonded W-SiC film. Heat transfer analysis reveals that variations in the temperature field distribution at the coating-substrate interface are the primary cause of observed differences. Specifically, low laser power results in incomplete melting of nanoparticles, leading to dense, small voids, whereas excessive laser power causes oversintering of particles and significant thermal stress, resulting in large voids and cracks. This study elucidates a nonlinear relationship between laser power, microstructure, and bond strength, underscoring the critical role of laser power in the preparation of ink-jet printed films. Our findings provide new insights into enhancing the quality of W-SiC insulation films, with significant implications for the manufacturing of high-performance electronic components.

Regulating lithium (Li) plating/stripping behavior in three-dimensional (3D) conductive scaffolds is critical to stabilize Li metal batteries (LMBs). Surface protrusions and roughness in these scaffolds can induce uneven distributions of the electric fields and ionic concentrations, forming ’hot spots’. Hot spots may cause uncontrollable Li dendrites growth, presenting significant challenges to the cycle stability and safety of LMBs. To address these issues, we construct a Li ionic conductive-dielectric gradient bifunctional interlayer (ICDL) onto 3D Li-injected graphene/carbon nanotube scaffold (LGCF) via in situ reaction of exfoliated hexagonal boron nitride (fhBN) and molten Li. Microscopic and spectroscopic analyses reveal that ICDL consists of fhBN-rich outer layer and inner layer enriched with Li3N and Li-boron composites (Li-B). The outer layer utilizes dielectric properties to effectively homogenize the electric field, while the inner layer ensures high Li ion conductivity. Moreover, DFT calculations indicate that ICDL can effectively adsorb Li and decrease the Li diffusion barrier, promoting enhanced Li ion transport. The modulation of Li kinetics by ICDL increases the critical length of the Li nucleus, enabling suppression of Li dendrite growth. Attributing to these advantages, the ICDL coated LGCF (ICDL@LGCF) demonstrates impressive long term cycle performances in both symmetric cells and full cells.

Biological particle research combining microfluidic has been applied in cell classification, counting, etc. With the breakthrough of exosomes in cancer monitoring, drug delivery, etc., more and more researchers apply microfluidic technology to the study exosomes detection. In this paper, a method based on microfluidic technology is proposed to detect fluorescence. The detection system are design and build which is consist of optical system and detection platform. In the system, labeling technology and microfluidic technology are used to distinguish exosomes by using the specific identification of fluorescent labels to achieve exosome counting. The experimental results shows that the method and the system can effectively achieve accurate quantification of exosomes.

Economic changes and recessions put pressure on citizens, and the buyers' inclination to use second-hand commodities increases as a result. Cars are one of these goods, and trading second-hand cars is booming especially in developing countries, which is where buyers cannot afford a new car or people desire to make income by selling their assets. Determining the price may be challenging, so both buyers and sellers welcome a framework in regards to determining the price or identifying the influential features in order to determine the price. Several machine learning approaches, such as linear regression, ridge regression, lasso regression, random forest, bagging, and support vector regression are used in this study in order to provide a framework in regards to predicting the pricing of used cars. These techniques are regression-based, and their goal is to identify the regression line with the lowest absolute error value. Finally, the approaches that are used in order to provide buyers, sellers, and other participants in the second-hand automobile market with a solid statistical framework were carefully analyzed.

A versatile and widely used tool in atmospheric research and operational forecasting is the Weather Research and Forecasting (WRF) model. The WRF model utilizes advanced algorithms and physics parameterizations to simulate complicated atmospheric phenomena. However, this model relies on a configuration that encompasses spin-up time, different Planetary Boundary Layer (PBL), and Land Surface Model (LSM) schemes to describe the physics near the surface. This work aims to optimize the configuration of the WRF model by evaluating the impact of the spin-up period, PBL, and LSM schemes to obtain the best representation of the wind field to calculate the power production of a wind farm located in the complex terrain of La Rumorosa, Baja California, Mexico. This site was chosen because of the availability of data, the challenging conditions of the terrain complexity, and severe changes in the wind direction. Results indicate that one day spin-up is the best option to predict the wind speed for one month or even one year. Moreover, the best statistical metrics are obtained when the Mellor-Yamada-Nakanishi–Niino Level 2.5 (MYNN2) PBL scheme is coupled with Noah-Multiphysics LSM. The best set-up for the WRF model was used to simulate the performance of a wind turbine in the farm with excellent results.

The aim of this study is to examine the efficiency of out-of-pocket health expenditures (OOPHE) of countries and the factors affecting efficiency. In the scope of the study, no sampling was conducted, and an attempt was made to access data from all countries. The data was obtained from the World Bank database. The data for 162 countries with complete information was categorized into four different income groups: low-income, lower-middle-income, upper-middle-income, and high-income. Data from the years 2010 to 2019 were included in the analysis, and a two-stage analysis was conducted, including Data Envelopment Analysis (DEA) and panel Tobit regression. According to the results of the analyses, Universal Insurance Coverage (UHC) and LE life expectancy (LE) positively affected the technical efficiency of OOPHE, while female population ratio, chronic diseases, maternal mortality ratio (MMR), and infant mortality ratio (IMR) negatively affected it (p<0.05). Healthcare policymakers should ensure the fair and equitable distribution of the financial burden, especially considering the non-deferrable nature of healthcare services and the potential for more severe consequences if needs are not met, in order to prevent the impoverishing effect of OOPHE on individuals.

Optimizing charging protocols is critical for reducing battery charging time and decelerating battery degradation in applications such as electric vehicles. Recently, reinforcement learning (RL) methods have been adopted for such purposes. However, RL-based methods may not ensure system (safety) constraints, which can cause irreversible damages to batteries and reduce their lifetime. To this end, this work proposes an adaptive and safe RL framework to optimize fast charging strategies while respecting safety constraints with a high probability. In our method, any unsafe action that the RL agent decides will be projected into a safety region by solving a constrained optimization problem. The safety region is constructed using adaptive Gaussian process (GP) models, consisting of static and dynamic GPs, that learn from online experience to adaptively account for any changes in battery dynamics. Simulation results show that our method can charge the batteries rapidly with constraint satisfaction under varying operating conditions.

Background The effect of CFTR modulators on exercise capacity in people with CF (pwCF) is controversial. In addition, the effect of elexacaftor/tezacaftor/ivacaftor (ETI) on improving exercise capacity after an exercise intervention is not known. We aimed to evaluate the effects of an exercise intervention in adult pwCF in the presence or absence of ETI treatment. Methods 56 adult pwCF participated in an exercise intervention during a 4-week rehabilitation course. The exercise program consisted of 5 sessions per week of 45 minutes each, including 3 endurance sessions on a cycle ergometer. Peak oxygen uptake (VO2peak) and peak workload (Wpeak) were used as primary outcomes to assess changes in exercise capacity. Results The training intervention led to a significant increase in VO2peak and Wpeak in all pwCF with or without ETI. The degree of improvement did not differ between the groups treated with and without ETI. PwCF with lower fitness (VO2 ≤ 81%pred) benefited more than pwCF with higher fitness (VO2peak ≥82%pred). The degree of improvement in VO2peak and Wpeak in the fitness groups with and without ETI was comparable and did not differ significantly from each other. Conclusion The use of ETI has little or no effect on the degree of improvement in VO2peak and Wpeak. This suggests that other factors, such as level of exercise capacity and physical inactivity, may determine the degree of improvement in exercise capacity in adult pwCF. In general, adult pwCF with and without ETI benefit from exercise interventions and can improve their exercise capacity.

Background: Mastocytosis is characterized by the accumulation of abnormal mast cells in various organs. Data on the prevalence of mastocytosis are heterogeneous, with the condition’s prevalence estimated to be between 9.6 and 23.9 per 100,000 inhabitants. Patients may present signs and symptoms that can severely impact quality of life (QoL), but reported data are scarce. Thus, we performed a nationwide study to estimate the prevalence and to assess the management and burden of adults with mastocytosis in France according to physician assessments. Methods: We developed an online survey comprising 25 questions investigating various aspects of mastocytosis and asked 6,239 physicians to respond. Data concerning physician characteristics and the number of patients followed were used to estimate overall prevalence. To assess patients’ QoL, we focused on the presence of signs and symptoms and the patients’ burden specifically in those with either indolent systemic mastocytosis (ISM) or mastocytosis in the skin (MIS). Results: Between July 11, 2023, and September 1, 2023, 1,169 physicians (18.7%) completed the survey. These physicians managed 4,121 mastocytosis patients, corresponding to an estimated prevalence of mastocytosis of 8.5 per 100,000 in France. In the ISM/MIS population (representing 76% of mastocytosis patients), 53% presented moderate to severe symptoms (mainly skin, digestive and general symptoms). Overall, physicians indicated that there was substantial burden associated with these symptoms in almost all fields of QoL analyzed. Conclusions: Our results provide further evidence of the burden associated with mastocytosis and highlight the need to improve QoL in these patients.

Key clinical messageOne of the most frequent and problematic long-term complications after a Roux-en-Y gastric bypass is internal hernia that can present with or without small bowel obstruction (SBO).1 Its incidence can be reduced in the short term by closing the mesenterial defect but is still a concern specially in the long term.2 This case shows the acute presentation and severe implications of an internal hernia with small bowel obstruction after a Roux-en-Y gastric bypass as well as its management.KeywordsBariatric surgery, internal hernia, Small bowel obstruction post-gastric bypassCase presentationA 33-year-old patient with surgical history of robotic assisted Roux-en-Y gastric bypass for the treatment of morbid obesity, presented to the emergency department with acute abdominal pain, nausea, vomiting, tachycardia and hypotension. Abdominal CT scan showed a large, distended remnant of the stomach and distended duodenum compatible with a closed loop obstruction at the jejunostomy, most probably an internal hernia or volvulus (Figure 1). NGT was placed with not much output. Interventional radiology placed a percutaneous gastrostomy tube decompressing the remnant stomach achieving 3 liters of bilious output. Important to mention is a delayed in intervention occurred, as surgery was not consulted immediately.

Policies designed to prevent COVID-19 deaths arguably yielded trade-offs with other adverse outcomes associated with lockdowns. In a nationally representative study of Americans, we queried participants about how tolerant they were of these trade-offs. We asked participants - by putting them in the shoes of a medical policymaker - to choose one adverse outcome (of a pair) to prevent and one to allow. Participants expressed greater desire to prevent child abuse, intimate partner violence and deaths associated with economic downturns than COVID deaths, suggesting that the public perceived that detrimental effects of the lockdowns are more regrettable than potential additional COVID deaths.

‘Going against the grain: A case report of histoplasmosis as a cause of cholestatic liver disease’

A document by Raffaele Falco. Click on the document to view its contents.