Systemic Overload Research Articles

Wood Chippers

The position and shape of the feed channel (FC) in low-power woodchippers significantly affect the way machine operators' upper limbs move. The execution of operator's movements can be accomplished in different working areas: comfortable, acceptable, or not recommended due to overloads in the musculoskeletal system. Three groups of male subjects from Central Europe, divided according to anthropometric dimensions from centile groups C5, C50 and C95, were selected to assess upper limb movement, by adopting a Motion Capture measurement method. The tests have shown that the limb closer to the FC (left hand in this study) carries out all the movements in the allowed zone (AZ), while between 79% and 96% of the limb movement is contained within the comfort zone (CZ). The right limb has a greater amplitude of motion outside the CZ working area – from 0% to 69% and for AZ – in the CZ can vary by up to 51%. It was found that commercial low-power woodchippers deployed in urban areas, typically induce overloads in the musculoskeletal system of the operator during the use. Based on the research results, the authors see the need to improve FC position adjustment for the operators of these machines.

ZIP8 Is Upregulated in the Testis of Zip14-/- Mice

Background/Objectives: Manganese is an essential nutrient involved in various biological processes, including reproductive health, yet the mechanisms regulating its homeostasis in the testis remain poorly understood. Methods and Results: In this study, we investigated the expression and regulation of key manganese transporters—ZIP8, ZIP14, and ZnT10—in mouse testes. Immunoblotting analyses revealed that ZIP8 is expressed in the testes, while ZIP14 and ZnT10 were undetectable. Using Zip14 knockout (Zip14-/-) mice, which exhibit systemic manganese overload, we discovered a significant increase in manganese levels in the testis, accompanied by an upregulation of ZIP8. Importantly, the levels of other essential metals, such as iron, zinc, and copper, remained unchanged. Conclusions: Our findings suggest that ZIP8 plays a critical role in manganese transport in the testis, and its increased expression may contribute to manganese accumulation in the absence of ZIP14. This study advances our understanding of manganese homeostasis in the testis and its potential impact on male reproductive health.

Analysis of Landing Buffer Characteristics of Unmanned Airdrop Rescue Vehicle

Taking an unmanned airdrop rescue vehicle as the research object, in order to reduce the impact overload of the airdrop landing, the exhaust type airbag buffer mode suitable for the airdrop vehicle is determined. Firstly, the scheme of the airdrop system is designed. According to the basic assumption of the airdrop process, the thermodynamic analysis model of the buffer bag is derived and the parameters are designed. Secondly, the finite element model of airdrop system with airbag buffer is established based on the airbag finite element algorithm (CV method). Finally, the buffering effect is evaluated by analyzing the change of tire force. The calculation results show that the system overload is reduced from 35g to 22g by using airbag buffer, and the buffer effect is obvious.

Forecasting severe respiratory disease hospitalizations using machine learning algorithms

BackgroundForecasting models predicting trends in hospitalization rates have the potential to inform hospital management during seasonal epidemics of respiratory diseases and the associated surges caused by acute hospital admissions. Hospital bed requirements for elective surgery could be better planned if it were possible to foresee upcoming peaks in severe respiratory illness admissions. Forecasting models can also guide the use of intervention strategies to decrease the spread of respiratory pathogens and thus prevent local health system overload. In this study, we explore the capability of forecasting models to predict the number of hospital admissions in Auckland, New Zealand, within a three-week time horizon. Furthermore, we evaluate probabilistic forecasts and the impact on model performance when integrating laboratory data describing the circulation of respiratory viruses.MethodsThe dataset used for this exploration results from active hospital surveillance, in which the World Health Organization Severe Acute Respiratory Infection (SARI) case definition was consistently used. This research nurse-led surveillance has been implemented in two public hospitals in Auckland and provides a systematic laboratory testing of SARI patients for nine respiratory viruses, including influenza, respiratory syncytial virus, and rhinovirus. The forecasting strategies used comprise automatic machine learning, one of the most recent generative pre-trained transformers, and established artificial neural network algorithms capable of univariate and multivariate forecasting.ResultsWe found that machine learning models compute more accurate forecasts in comparison to naïve seasonal models. Furthermore, we analyzed the impact of reducing the temporal resolution of forecasts, which decreased the model error of point forecasts and made probabilistic forecasting more reliable. An additional analysis that used the laboratory data revealed strong season-to-season variations in the incidence of respiratory viruses and how this correlates with total hospitalization cases. These variations could explain why it was not possible to improve forecasts by integrating this data.ConclusionsActive SARI surveillance and consistent data collection over time enable these data to be used to predict hospital bed utilization. These findings show the potential of machine learning as support for informing systems for proactive hospital management.

Risk Factors Associated With COVID-19 Infection Among Schools’ Children in Basrah City / Iraq

Background: COVID-19 pandemic has been the most important global issue since December 2019. has led to overloading of health systems all over the world. Objective: The study aims to identify the risk factors associated with COVID-19 infection among schools’ children in Basrah city / Iraq. Methods: A cross-sectional study was carried out by using a pre-tested applied structured questionnaire among 1980 children. This sample was distributed throughout fifteen schools were selected using simple random sampling techniques. Finally, a simple random sampling method was used to select study participants. conducted from March1st, 2022, to May 1st, 2024. Both descriptive and inferential statistics were used in the data collection and analysis process. Results: The findings showed the distribution of participants according to Corona infection: The children included in the study suffered from Corona infection at a rate of 27.2%. 60.3% do not have Corona infection, and 12.5% answered “possibly infection.” The children at risk of contracting Corona infection were under 18 years of age and had middle school as an educational level respectively, 81.9% and 51.8%. They suffered from chronic diseases and also suffered from an allergy to the vaccine: 34.8% and 27%. They received the Corona vaccine type Pfizer, respectively, 37.9% and 36.3%. They had symptoms similar to the disease when taking the vaccine, 22.6%, and they used sterilization to sterilize hands, 42.8%. Also, 31.1% of them always avoid touching their noses and eyes with unwashed hands, 27.8% always maintain a social distance of no less than two meters, and 45.8% avoid shaking hands, hugging, and kissing during greetings. Conclusions: This study concludes that among the risk factors studied, there was a relationship between these factors and the Corona infection in children.

A qualitative analysis of health service problems and the strategies used to manage them in the COVID-19 pandemic: exploiting generic and context-specific approaches

BackgroundThe COVID-19 pandemic disrupted health systems around the globe. Lessons from health systems responses to these challenges may help design effective and sustainable health system responses for future challenges. This study aimed to 1/ identify the broad types of health system challenges faced during the pandemic and 2/ develop a typology of health system response to these challenges.MethodsSemi-structured one-on-one online interviews explored the experience of 19 health professionals during COVID-19 in a large state health system in Australia. Data were analysed using constant comparative analysis utilising a sociotechnical system lens.ResultsParticipants described four overarching challenges: 1/ System overload, 2/ Barriers to decision-making, 3/ Education or training gaps, and 4/ Limitations of existing services. The limited time often available to respond meant that specific and well-designed strategies were often not possible, and more generic strategies that relied on the workforce to modify solutions and repair unexpected gaps were common. For example, generic responses to system overload included working longer hours, whilst specific strategies utilised pre-existing technical resources (e.g. converting non-emergency wards into COVID-19 wards).ConclusionDuring the pandemic, it was often not possible to rely on mature strategies to frame responses, and more generic, emergent approaches were commonly required when urgent responses were needed. The degree to which specific strategies were ready-to-hand appeared to dictate how much a strategy relied on such generic approaches. The workforce played a pivotal role in enabling emergent responses that required dealing with uncertainties.

Advances in Oral Exfoliative Cytology: From Cancer Diagnosis to Systemic Disease Detection.

Oral exfoliative cytology has emerged as a valuable tool in the early detection of oral cancer and other systemic diseases. This review comprehensively examines the current applications and recent advancements in oral exfoliative cytology techniques. We analyzed published literature from the past decade, focusing on methodological improvements, diagnostic accuracy, and emerging applications. Key findings include: (1) Enhanced cell collection and preparation methods have significantly improved sample quality and diagnostic reliability. (2) Integration of molecular markers and DNA analysis with traditional cytomorphological assessment has increased diagnostic sensitivity and specificity for oral cancer detection. (3) Novel applications in systemic disease detection, including diabetes and iron overload disorders, demonstrate the expanding utility of this technique. (4) Computer-assisted analysis and deep learning algorithms show promise in improving diagnostic accuracy and efficiency. Despite these advancements, challenges remain in standardization and widespread clinical implementation. This review provides a critical evaluation of oral exfoliative cytology's current status and future potential in oral and systemic disease diagnosis.

Non-syndromic congenital sideroblastic anaemia; phenotype, and genotype of 15 Indian patients.

Sideroblastic anaemias are a diverse group of congenital and acquired bone marrow failure disorders marked by the presence of ring sideroblasts, ineffective erythropoiesis, and systemic iron overload. Congenital Sideroblastic anaemia (CSA) is mainly caused by gene mutations associated with heme synthesis, iron-sulfur [Fe-S] cluster, and mitochondrial protein synthesis pathways. The most prevalent form of CSA is caused by mutations in the erythroid-specific -amino levulinate synthase (ALAS2) gene, which encodes the first enzyme in the heme synthesis pathway in red blood cells. The second most prevalent form of CSA is caused by a mutation in the Solute carrier family 25 member 38 (SLC25A38) gene, which codes for an erythroid-specific protein of the inner mitochondrial membrane. Additionally, 15-20 genes are altogether associated with CSA. In this study, we aim to identify the CSA patients, understand their genetics and establish genotype-phenotype correlation. We have identified fifteen cases of CSA using our targeted NGS (t-NGS) panel. The major clinical findings in our cohort were microcytic anaemia, ring sideroblasts, and dyserythropoiesis in the bone marrow. Currently, two patients are responsive to pyridoxine, while the rest are on blood transfusion support. We have identified ten variants in three different genes of CSA (ALAS2, SLC25A38 & HSPA9). Five patients harbour four hemizygous variants- p.Ala282Ser, p.Arg170Cys, p.Arg204Gln and exon 2 duplication in the ALAS2 gene. In seven patients, we have identified three homozygous mutations - p.Pro190Arg, p.Arg187Gln and p.Arg134Cys in the SLC25A38 gene. These mutations have been predominantly identified in the European population. Three patients revealed three heterozygous variants p. Thr463Ile, D326Tyr, and Arg284Trp in the HSPA9 gene. PyMoL was used to evaluate the functional effects of these variations and understand their effect on the structure of the protein. We believe that by combining a bone marrow examination with genetic sequencing, CSA patients can acquire a definitive diagnosis.

Assessment of Brazil's vesicular syndrome surveillance system: Profile of notifications and performance of the official veterinary service

Foot-and-mouth disease (FMD) is an ailment that causes serious damage to the productive chain, and its control through vaccination is of utmost importance for its eradication. Brazil initiated the National Foot-and-Mouth Disease Surveillance Program (PNEFA) with the aim of making the country FMD-free by 2026. As part of the program, notifications of vesicular lesions became mandatory for the Official Veterinary Service (OVS), which is responsible for verifying them. Due to its size, border areas with countries that do not have FMD-free status pose a risk to Brazil and require greater attention. This study described the profile of notifications of suspected outbreaks of vesicular syndrome in Brazil and analyzed the performance of the surveillance system. The results showed 7134 registered notifications of suspected vesicular syndrome outbreaks from 2018 to 2022, with 2022 having the highest number (n = 2343 or 32.85 %). The species that generated the most notifications were swine (90.99 %), cattle and buffaloes (7.54 %), goats and sheep (1.44 %), and others (0.03 %). The sources of notification were "Veterinary medicine professionals" (61.82 %), "Owners or employees" (13.66 %), "Third parties" (8.90 %), "OVS" (7.20 %), and "others" (2.66 %). 41.69 % of notifications originated from non-border municipalities, and 58.32 % from border areas. Only the state of Paraná account for 51.73 % of the total notifications. This state also accounted for 66.70 % of the 32.47 % of notifications with a final diagnosis of "absence of clinically compatible signs or susceptible animals", indicating a certain lack of knowledge in the area, leading to unnecessary notifications and system overload. The performance of the OVS was evaluated based on the service response time from notification registration trough Logistic and Negative binomial regressions. A total of 27.83 % of notifications did not meet the Brazilian legally specified time, and the zone related to the state of Parana needs improvements in performance. The presence and peaks of Senecavirus A cases may have influenced an increased number of swine notifications and led to a decrease in OVS response time. The results demonstrate better performance of surveillance in border areas. Given the vast territory of Brazil, it is not expected that 100 % of responses occur within the legal timeframe, however, the performance of the surveillance system proved to be adequate, with 86 % complied to the legislation. The performance indicators could be used as a monitoring tool, along with indicators to demonstrate system overload. Continued education actions are crucial for strengthening PNEFA.

Microscopic polyangiitis, an onset with diffuse alveolar hemorrhage

Introduction: antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis is a group of complex chronic diseases that cause morbidity, systemic organ damage, therapeutic overload, and risk of relapse. Microscopic polyangiitis (MPA) primarily affects small vessels in the lungs and kidneys, characterized by inflammation that can lead to necrosis of blood vessels, presence of ANCA in the bloodstream, and absence of necrotizing inflammation of the parenchyma in histopathology. Methods: we present the case of a 58-year-old female patient with hemoptysis, fever, and dyspnea. Results: laboratory tests show anemia, leukocytosis, positive p-ANCA, hematuria, and proteinuria. The CT scan reveals areas of increased attenuation with a ground-glass pattern and centrilobular nodular opacities occupying the middle lobe and both lower lobes. The patient also tested positive for MPO-ANCA, leading to the diagnosis of ANCA-positive vasculitis, specifically microscopic polyangiitis with pulmonary and renal involvement, pneumonia, and renal insufficiency. She received appropriate medical treatment, resulting in adequate resolution. Conclusions: microscopic polyangiitis requires interdisciplinary management, which, along with radiological findings, contributes to the early diagnosis and timely treatment of the pathology

P-299 The influence of ovarian endometriomas surgery or not and the iron overload in follicular fluid on the outcome of IVF-ET

Abstract Study question To investigate the influence of ovarian endometriomas(OEM) surgery or not on the outcome of in vitro fertilization and embryo transfer. Summary answer Laparoscopic surgery can not significantly improve the outcome of IVF-ET in OEM patients, but may decrease the ovarian reserve. What is known already Despite the great advantages of ovarian endometriomas surgery treatment in endometriosis-linked infertility, the impact of laparoscopic cystectomy on outcomes of infertility management with ART is controversial. Numerous mechanisms have been proposed in an effort to delineate the multifaceted pathophysiology that induces impairment of reproductive dynamics in patients with OEM. Reactive oxygen species, dysregulation of the immune system and iron overload constitute the crucial mechanisms that detrimentally affect oocyte and embryo developmental potential. Study design, size, duration This study retrospectively included 882 cycles in our reproductive center from January 2018 to December 2020, and the patients were divided into operation group (n = 386) and OEM group (n = 496) according to whether they underwent laparoscopic cystectomy before IVF-ET. Participants/materials, setting, methods The baseline data of age, infertility duration, basic FSH, AFC, and BMI were used as matching factors, and Propensity score matching was carried out according to the sample ratio of 1:1, and 327 cycles in the operation group and 327 cycles in the OEM group were finally included. Follicular fluid was collected under ultrasound guidance during oocyte retrieval. A total of 74 follicular fluid samples meeting the study conditions were collected. Main results and the role of chance (1)The clinical pregnancy rate of fresh embryo transfer cycle in the OEM group was significantly higher than that in the operation group (77.4% Vs 52.9%), and the difference was statistically significant (P = 0.039). There was no significant difference in pregnancy outcome in frozen embryo transfer cycle (P > 0.05). (2) The results of Multi-factor logistic regression model showed the clinical pregnancy rate of patients in the OEM group was 3.048 times than that of patients in the operation group in fresh cycle, and the difference was significant (OR 3.029 95%CI 1.017-9.018, P = 0.047), while early abortion and live birth pregnancy outcomes were not significantly affected in both groups. For the frozen embryo transfer cycle, there were no significant effects on clinical pregnancy, early abortion and live birth pregnancy outcomes in both groups. (3) There was no significant difference in follicular fluid iron concentration between OEM group and control group(11.53±3.38 Vs 12.18±4.37μg/dl, P = 0.112). The concentration of ferritin in follicle fluid in OEM group (57.38±139.90) was significantly higher than that in control group (24.88±13.76 μg/ml), the difference was statistically significant (P = 0.032). Limitations, reasons for caution The present study being of a retrospective and monocentric study, may not come to a very convincing conclusion, and some unknown biases might still exist due to possible underestimation of some confounders. Wider implications of the findings Collectively, our results indicate that laparoscopic ovarian cystectomy couldn’t significantly improve the IVF-ET outcomes in patients with OEM, but rather increased the risk of reduced ovarian reserve function. Ovarian reserve function was the main factor affecting the IVF-ET outcomes for infertile patients with OEM. Trial registration number /

Delivering HIV and TB services amidst the COVID-19 pandemic in Indonesia: a qualitative study of challenges and mitigation strategies

Background Indonesia has the second-highest burden of tuberculosis (TB) globally and is experiencing one of the fastest-growing HIV epidemics worldwide. The COVID-19 pandemic disrupted access to essential health services, including those for TB and HIV, due to health system overload, social distancing measures, and negative economic repercussions on the health sector and the population. An in-depth understanding of these challenges and the health system responses to mitigate the negative impact of the pandemic on TB and HIV services is crucial to building health system resilience and preparing for future emergencies. Methods This qualitative study, conducted in two cities in Indonesia, explored the impact of the COVID-19 pandemic on TB and HIV services including mitigation strategies to sustain the provision of testing and treatment in the midst of the pandemic. Between February and June 2022, semi-structured interviews were conducted with 16 healthcare workers and 16 clients at nine health centers (puskesmas), three hospitals, and one Community Center for Lung Health in Bandung and Yogyakarta. Themes were identified from transcripts using open and selective coding and then refined. Results Extraordinary measures were implemented in health facilities to sustain TB and HIV service delivery, and prevent the spread of COVID-19, including testing of clients for COVID-19 before receiving medical care, physical distancing when visiting healthcare facilities, revised schedules for medicine dispensing, involvement of community health workers and peers in community outreach activities such as the home delivery of medicines, and the use of telemedicine. Challenges encountered during the implementation of these strategies included medicine stock-outs, health worker overload, lack of sufficient client-provider interaction and technical difficulties when implementing telemedicine, and the risk or fear of exposure to COVID-19 among the community health workers and peers. Conclusions Significant efforts were made to mitigate disruptions to TB and HIV services during the COVID-19 pandemic. However, some challenges were encountered. Key policy recommendations to strengthen pandemic preparedness include investing in local manufacturing and robust drug supply networks to prevent medicine shortages, and supporting community health workers to alleviate workload issues, reduce the risk of disease exposure, and explore the potential for a financial incentive system. Equally vital is the need to invest in staff training and education, as well as implementing user-friendly telemedicine technologies.

Scientific opinion on the tolerable upper intake level for iron.

Following a request from the European Commission, the EFSA Panel on Nutrition, Novel Foods and Food Allergens (NDA) was asked to deliver a scientific opinion on the tolerable upper intake level (UL) for iron. Systematic reviews were conducted to identify evidence regarding high iron intakes and risk of chronic diseases, adverse gastrointestinal effects and adverse effects of iron supplementation in infancy, young childhood and pregnancy. It is established that systemic iron overload leads to organ toxicity, but no UL could be established. The only indicator for which a dose-response could be established was black stools, which reflect the presence of large amounts of unabsorbed iron in the gut. This is a conservative endpoint among the chain of events that may lead to systemic iron overload but is not adverse per se. Based on interventions in which black stools did not occur at supplemental iron intakes of 20-25 mg/day (added to a background intake of 15 mg/day), a safe level of intake for iron of 40 mg/day for adults (including pregnant and lactating women) was established. Using allometric scaling (body weight0.75), this value was scaled down to children and adolescents and safe levels of intakes between 10 mg/day (1-3 years) and 35 mg/day (15-17 years) were derived. For infants 7-11 months of age who have a higher iron requirement than young children, allometric scaling was applied to the supplemental iron intakes (i.e. 25 mg/day) and resulted in a safe level of supplemental iron intake of 5 mg/day. This value was extended to 4-6 month-old infants and refers to iron intakes from fortified foods and food supplements, not from infant and follow-on formulae. The application of the safe level of intake is more limited than a UL because the intake level at which the risk of adverse effects starts to increase is not defined.

Systemic iron overload: Review of pathophysiology and clinical-radiological diagnostic approach

Systemic iron overload is a condition that carries significant implications for health, making it crucial to understand its pathophysiology and the precise clinical and radiological diagnostic methods. This article comprehensively reviews the pathophysiology of iron metabolism, highlighting its crucial role in multiple cellular processes and the regulatory mechanisms that maintain its balance in the body. Furthermore, the diagnostic approach to iron overload is analyzed in detail, reviewing the role of various imaging techniques; highlighting magnetic resonance imaging as a method to develop an accurate and non-invasive assessment of iron load in various tissues.

Trajectories and predictors of emotional exhaustion in clinical nurses in the context of healthcare crisis: a case study in Xi’an, China

This study investigated the growth trajectory of emotional exhaustion and its predictors in clinical nurses in the context of healthcare crisis in the post pandemic era. A total of 422 Chinese clinical nurses were followed up three times over two months from December 2022 to January 2023, and data from the final 358 clinical nurses were analyzed. The growth mixed model was used to identify the trajectory categories, and the predictive factors of the trajectory types were analyzed by logistic regression. The relationship of the trajectory types of emotional exhaustion with psychological capital were analyzed by variance analysis. The best-fit growth mixture modeling revealed three class models: Class 1 characterized by high and increasing levels of emotional exhaustion, Class 2 characterized by moderate and decreasing levels of emotional exhaustion, and Class 3 characterized by low and decreasing levels of emotional exhaustion. These classes accounted for 9.78%, 83.52%, and 6.70% of clinical nurses, respectively. The results of the univariate analysis indicated that age, years of working experience, gender, past participation in emergency public health event rescue, and sleep quality were associated with the trajectory of emotional exhaustion. Logistic regression analysis revealed that gender, past participation in emergency public health event rescue, and sleep quality were independent predictors of the emotional exhaustion trajectory. The variance analysis of the four dimensions of psychological capital showed that there were statistically significant differences in scores of self-efficacy and hope dimensions among the three groups of emotionally exhausted individuals. Our study demonstrated the heterogeneity of emotional exhaustion among clinical nursing personnel in coping with healthcare system overload. The psychological capital of nursing staff with different categories of emotional exhaustion varies. Managers should actively pay attention to the predictive role of gender, past participation in emergency public health event rescue, and sleep quality on the development of emotional exhaustion in clinical nurses.

The iron(III) coordinating properties of citrate and α-hydroxycarboxylate containing siderophores.

The iron(III) binding properties of citrate and rhizoferrin, a citrate containing siderophore, are compared. Citrate forms many oligonuclear complexes, whereas rhizoferrin forms a single mononuclear complex. The α-hydroxycarboxylate functional group, which is present in both citrate, and rhizoferrin, has a high affinity and selectivity for iron(III) under most biological conditions. The nature of the toxic form of iron found in the blood of patients suffering from many haemoglobinopathies and haemochromatosis is identified as a mixture of iron(III)citrate complexes. The significance of the presence of this iron pool to patients suffering from systemic iron overload is discussed. The wide utilisation of the α-hydroxycarboxylate functional group in siderophore structures is described, as is their photo-induced decarboxylation leading to the release of iron(II) ions. The importance of this facile dissociation to algal iron uptake is discussed.

Artificial Intelligence Interpretation of the Electrocardiogram: A State-of-the-Art Review.

Artificial intelligence (AI) is transforming electrocardiography (ECG) interpretation. AI diagnostics can reach beyond human capabilities, facilitate automated access to nuanced ECG interpretation, and expand the scope of cardiovascular screening in the population. AI can be applied to the standard 12-lead resting ECG and single-lead ECGs in external monitors, implantable devices, and direct-to-consumer smart devices. We summarize the current state of the literature on AI-ECG. Rhythm classification was the first application of AI-ECG. Subsequently, AI-ECG models have been developed for screening structural heart disease including hypertrophic cardiomyopathy, cardiac amyloidosis, aortic stenosis, pulmonary hypertension, and left ventricular systolic dysfunction. Further, AI models can predict future events like development of systolic heart failure and atrial fibrillation. AI-ECG exhibits potential in acute cardiac events and non-cardiac applications, including acute pulmonary embolism, electrolyte abnormalities, monitoring drugs therapy, sleep apnea, and predicting all-cause mortality. Many AI models in the domain of cardiac monitors and smart watches have received Food and Drug Administration (FDA) clearance for rhythm classification, while others for identification of cardiac amyloidosis, pulmonary hypertension and left ventricular dysfunction have received breakthrough device designation. As AI-ECG models continue to be developed, in addition to regulatory oversight and monetization challenges, thoughtful clinical implementation to streamline workflows, avoiding information overload and overwhelming of healthcare systems with false positive results is necessary. Research to demonstrate and validate improvement in healthcare efficiency and improved patient outcomes would be required before widespread adoption of any AI-ECG model.

A recompression supercritical CO2 cycle using heat source storage to achieve low-frequency reactor regulation: Analysis and optimization of load capacity under safe compressor operation

This study focuses on proposing a heat source storage mode for the indirect recompression supercritical CO2 cycle (RSCC) coupled with a sodium-cooled fast reactor, aiming to achieve low-frequency regulation of the reactor and enhance the load capacity of system. A deep neural network-based turbomachinery performance prediction approach is employed to assess the system's part-load and overload performance under several typical control strategies. The turbine inlet temperature of the system under all control strategies except the intermediate heat exchanger (IHX) bypass rises with decreasing load. The system's part-load performance is positively correlated with its corresponding overload power. The findings reveal that the adjustable load ranges of the heat source storage tanks under inventory, turbine bypass, turbine throttle, and IHX bypass controls are 10%–156.10%, 10%–156.10%, 30%–147.30%, and 10%–146.88%, respectively, along with the safe compressor operation. As the near-choke operation of the compressor limits the rise in overload power, a turbine fitted with variable inlet guide vanes is tried. The optimization results demonstrate that the largest overload power of the system can reach 161.18 % without reducing the thermal efficiency. This study provides a heuristic insight into the variable load operation for indirect nuclear-powered Brayton cycles under low-frequency reactor regulation.

Computational study of the effect of the number of splitter plates considering blow-out coil voltage in arc chamber of moulded case circuit breaker

To attain current limitation in low voltage circuit breaker (LVCB) apparatus, the approach involves elevating the arc voltage. This improvement is realised primarily in the arc chamber's splitter plates because of the higher drop voltages at the anode and cathode sheath areas. One of the most crucial ways to better describe arc behaviour in LVCB is to account for voltage in the vicinity of the electrodes. To reduce the current, LVCB works by raising the arc voltage. Voltage is raised in several ways, including increase in losses, elongating the arc, and multiplying the splitter plates. The aim of this research is to present readers with an additional technique for analysing electric arcs in moulded case circuit breaker (MCCB) which is one of the types of low voltage circuit breakers which is used to prevent overload and short circuit in electrical systems. 2-D model of MCCB with splitter plate has been developed and simulated using ANSYS software. Simulation results with the effect of increase in the number of Splitter plates considering blow-out coil voltage in arc chamber has been discussed. Modelling and simulation technologies provide the mechanism through which this understanding may be attained.

The expression of Catsup in the hindgut is essential for zinc homeostasis in Drosophila melanogaster.

Zinc excretion is crucial for zinc homeostasis. However, the mechanism of zinc excretion has not been well characterized. Zinc homeostasis in Drosophila seems well conserved to mammals. In this study, we screened all members of the zinc transporters ZnT (SLC30) and Zip (SLC39) for their potential roles in Drosophilahindgut, an insect organ that belongs to the excretory system. The results indicated that Catecholamines up (Catsup, CG10449), a ZIP member localized to the Golgi, is responsible for zinc homeostasis in the hindgut of Drosophila hindgut-specific knockdown of Catsup leads to a developmental arrest in the larval stage, which could be rescued well by human ZIP7. Further study suggested that Catsup RNAi in the hindgut reduced zinc levels in the excretory system (containing the Malpighian tubule and hindgut) but exhibited systemic zinc overload. Besides, more calculi were observed in the Malpighian tubules of Catsup RNAi flies. The developmental arrest and calculi in the Malpighian tubules of hindgut-specific Catsup RNAi flies could be rescued by dietary zinc restriction but hypersensitivity to zinc. These results will help us understand the fundamental process of zinc excretion in higher eukaryotes.