Sudden Rise Research Articles

The Food‑Energy‑Water Nexus Optimization: A Systematic Literature Review

The sudden rise in population and the need to sustain natural resources have subjected many researchers to another dimension of an interesting study, such as integrating food, energy and water into a single entity. Tampering with natural resources, especially food, energy, or water, could be an aspect that hinders the requirement to meet the world’s growing city needs. The food-energy-water nexus has become even more difficult due to agricultural globalization, the essential task of which is to secure regional food and water. Therefore, the systematic literature review in this article critically investigates food interactions with energy and water optimization for sustainable development and illustrates the key points, networks, and gaps within this literature. The databases from Scopus, Web of Science, and ScienceDirect were the key retrieved data in this study from 2010 to 2024. A total of 641 research journals, book chapters and conference papers were systematically reviewed. The results based on country mapping analysis strongly favour advanced countries, for example, Germany, the United States , and the United Kingdom, recording almost more than 40% of published articles; while China, including other developing countries, record more than 5% of food-energy-water nexus research. In addition, several food-energy-water nexus articles are restricted to about one-quarter of subject categories, such as water resources, environmental sciences and green sustainable science technology. The results also depicted that the food-energy-water nexus method encourages inter-sectoral and multilevel governance, scholarly and private sector, thereby supporting the intricacies and inadequacies in attaining the sustainable development goals. The prioritization of the food-energy-water nexus approach, particularly during the incident of COVID-19, can be a complete method to sustainably exploit natural resources to support the attainment of environmental sustainability. Thus, studying the integration of food, energy and water would produce better knowledge in advancing the flexibility of natural resources and decreasing multifaceted global poverty.

Investigating the occurrence and predictability of pitch angle scattering events at ADITYA-Upgrade tokamak with the electron cyclotron emission radiometer

This paper describes the experimental analysis and preliminary investigation of the predictability of pitch angle scattering (PAS) events through the electron cyclotron emission (ECE) radiometer signals at the ADITYA-Upgrade (ADITYA-U) tokamak. For low-density discharges at ADITYA-U, a sudden abnormal rise is observed in the ECE signature while other plasma parameters are unchanged. Investigations are done to understand this abrupt rise that is expected to occur due to PAS. The rise time is as fast as 100 μs with a single step and/or multiple step rise in ECE radiometer measurements. This event is known to limit the on-axis energy of runaway electrons. Being a repetitive event, the conditions of its repetitive occurrence can be investigated, thereby exploring the possibility of it being triggered and surveyed as an alternate runaway electron mitigation plan. Functional parameterization of such events with other discharge parameters is obtained and the possibility to trigger these events is discussed. PREDICT code is used to investigate the possible interpretations for the PAS occurrence through modeling and supporting the ECE observations. The trigger values so obtained experimentally are set as input criteria for PAS occurrence. Preliminary modeling investigations provide reliable consistency with the findings.

Reflections of Economic Shocks and Price of Crude Oil on Gold Price Volatility within Asian Nations

The focus of this study is to examine the effects of economic shocks along with the crude oil price on gold prices in Asian countries. This study utilizes a regression analysis to measure the relationship between the macroeconomic indicators, crude oil price, and gold price in six selected nations from 1990 until 2022. The validity of the data was diagnostically checked by performing a VIF procedure, autocorrelation test, and normality test on residual, and data were analyzed via EViews software. The analysis showed mixed findings, however, a major variable that positively affects the fluctuation of the gold price is “the crude oil price” and it reflects global economic stability in the six countries. A sudden rise in crude oil prices might trigger conflicts in oil-exporting countries and limit access to material sources. This situation may force investors to move their funds into a safe-haven commodity like gold. The fluctuations in crude oil prices are not only a response to current market conditions but also alarming a lot more fundamental problems in an economy, which include approaching economic recessions, currency devaluation and a major financial crisis. For practical implications, this study suggests that policymakers pay extra attention to this commodity besides other economic indicators like inflation, interest and currency rates, and a GDP rate to ensure a sustainable economic condition. To the best of the authors’ knowledge, this study is the first that examines the economic shocks along with crude oil prices pre-and-post COVID-19 pandemic focusing on a few Asian countries.

The Forgotten Feminist

Kate Millett (1934–2017) is best known for her text Sexual Politics (1970). Despite her sudden rise to popularity in the women’s liberation movement, she was quickly dismissed and forgotten, even while continuing to produce new works. Victoria Hesford and Sheila Jeffreys have, respectively, examined the role of homophobia and shifts in feminist theory on Millett’s cataclysmic rise and fall. Expanding on these accounts, the article addresses how sanist discourse pathologized Millett’s bisexuality and polyamory as symptomatic of mental illness to delegitimize her critiques of heteronormative patriarchal psychiatry. It draws a connection between Millett’s public outing in 1970, her first involuntary psychiatric hospitalization in 1973, and the unfavourable and problematic literary responses to her memoirs Flying in 1974 and The Loony-Bin Trip in 1990. Relying on Maria Rovito’s Madwoman theory, the article argues literary critics participate in the silencing and pathologization of Millett by continuing to frame her as mentally ill, instead of as a survivor of psychiatric abuse. It seeks to demonstrate that Madwoman theory is an ethical feminist disability methodology for literary criticism that restores Millett’s voice by unveiling the intersections of heteronormative monosexism and sanism that functions to silence queer Madwomen through epistemic violence and social death.

Modeling the mechanism of Ca2+ release in skeletal muscle by DHPRs easing inhibition at RyR I1-sites.

Ca2+ release from the sarcoplasmic reticulum (SR) plays a central role in excitation-contraction coupling (ECC) in skeletal muscles. However, the mechanism by which activation of the voltage-sensors/dihydropyridine receptors (DHPRs) in the membrane of the transverse tubular system leads to activation of the Ca2+-release channels/ryanodine receptors (RyRs) in the SR is not fully understood. Recent observations showing that a very small Ca2+ leak through RyR1s in mammalian skeletal muscle can markedly raise the background [Ca2+] in the junctional space (JS) above the Ca2+ level in the bulk of the cytosol indicate that there is a diffusional barrier between the JS and the cytosol at large. Here, I use a mathematical model to explore the hypothesis that a sudden rise in Ca2+ leak through DHPR-coupled RyR1s, caused by reduced inhibition at the RyR1 Ca2+/Mg2+ inhibitory I1-sites when the associated DHPRs are activated, is sufficient to enable synchronized responses that trigger a regenerative rise of Ca2+ release that remains under voltage control. In this way, the characteristic response to Ca2+ of RyR channels is key not only for the Ca2+ release mechanism in cardiac muscle and other tissues, but also for the DHPR-dependent Ca2+ release in skeletal muscle.

Cell-based high-content approach for SARS-CoV-2 neutralization identifies unique monoclonal antibodies and PI3K pathway inhibitors.

The sudden rise of the SARS-CoV-2 virus and the delay in the development of effective therapeutics to mitigate it made evident a need for ways to screen for compounds that can block infection and prevent further pathogenesis and spread. Yet, identifying effective drugs efficacious against viral infection and replication with minimal toxicity for the patient can be difficult. Monoclonal antibodies were shown to be effective, yet as the SARS-CoV-2 mutated, these antibodies became ineffective. Small molecule antivirals were identified using pseudovirus constructs to recapitulate infection in non-human cells, such as Vero E6 cells. However, the impact was limited due to poor translation of these compounds in the clinical setting. This is partly due to the lack of similarity of screening platforms to the in vivo physiology of the patient and partly because drugs effective in vitro showed dose-limiting toxicities. In this study, we performed two high-throughput screens in human lung adenocarcinoma cells with authentic SARS-CoV-2 virus to identify both monoclonal antibodies that neutralize the virus and clinically useful kinase inhibitors to block the virus and prioritize minimal host toxicity. Using high-content imaging combined with single-cell and multidimensional analysis, we identified antibodies and kinase inhibitors that reduce virus infection without affecting the host. Our screening technique uncovered novel antibodies and overlooked kinase inhibitors (i.e. PIK3i, mTORi, multiple RTKi) that could be effective against SARS-CoV-2 virus. Further characterization of these molecules will streamline the repurposing of compounds for the treatment of future pandemics and uncover novel mechanisms viruses use to hijack and infect host cells.

7305 Pheochromocytoma Presenting With Resistant Hyperglycemia

Abstract Disclosure: M. Economou: None. A. Devine: None. Background: Pheochromocytoma is a rare catecholamine producing tumor arising from the adrenal gland. Impaired glucose tolerance is a well-recognized hormonal and metabolic manifestation of pheochromocytoma caused by catecholamine excess [1]. Insulin resistance requiring very high doses of insulin in association with pheochromocytoma is, however, rare. Here we report a case of pheochromocytoma in a woman with diabetes mellitus that proved difficult to control despite high-dose insulin therapy. Case presentation: A 72-year-old woman with a longstanding history of type 2 diabetes mellitus, uncontrolled hypertension, hyperlipidemia and CVA presented to the hospital after she was found to have a hemoglobin of 7.0 ng/mL on routine labs. Notably, over the past 4 years, her insulin requirement gradually increased from 20 units/day to 50 units/day despite an A1c level of 6.1%. On presentation, our patient was hypertensive to 170/90 with limited response to multiple antihypertensive medications. Additionally, her glucose was severely uncontrolled, fluctuating between 200-500 mg/dL. Within days, the patient’s total daily insulin requirement increased tremendously to as much as 300 units/day. As part of her anemia workup, she underwent a contrast-enhanced CT abdomen & pelvis which identified a left adrenal mass measuring 2.2 x 2.8 x 2.9 cm. Further evaluation with MRI confirmed an adrenal mass suspicious for pheochromocytoma. Evaluation of plasma hormone levels revealed an elevated normetanephrine level of 7.10 nmol/L (normal: less than 0.89 nmol/L). Furthermore, the 24-h urinary normetanephrine level and chromogranin A levels were elevated to 145 mcg/day and 1203 ng/mL, respectively. Initial treatment with alpha and beta blockade improved blood pressure but glucose levels remained persistently elevated. The patient underwent left laparoscopic adrenalectomy and pathology revealed pheochromocytoma, measuring, 3.2 cm in diameter, with stains positive for CD56, synaptophysin and chromogranin. Surgical resection margins were negative for tumor. Postoperatively, insulin requirements returned to roughly that of her baseline, 40 units/day. Conclusion: Impaired glucose tolerance is a known phenomenon associated with pheochromocytoma. Despite this, it is unusual to see an insulin requirement rise as abruptly and drastically as seen in this case. Our patient, with relatively controlled diabetes had an enormous increase in her insulin requirement during her hospital course as evidenced by her insulin regimen which increased sixfold. This case highlights the importance of maintaining a high degree of suspicion for pheochromocytoma in patients with a sudden rise in insulin requirement and uncontrolled hypertension. Reference: (1) Ronen JA, Gavin M, Ruppert MD, Peiris AN. Glycemic Disturbances in Pheochromocytoma and Paraganglioma. Cureus. 2019 Apr 27;11(4): e4551. Presentation: 6/3/2024

7696 Ovarian Steroid Cell Tumor Presenting as Non-classical Adrenal Hyperplasia

Abstract Disclosure: V. Reddy: None. A. Gowda: None. V. Vattipally: None. D. Kunduru: None. IntroductionSteroid cell tumors(SCT) of the ovary make up less than 0.1% of all ovarian tumors. The three subtypes are stromal luteoma, Leydig cell tumor, and steroid cell tumor-not otherwise specified (NOS) which is the commonest subtype. Androgen excess is seen in 75% tumors and presents with virilization. Tumors are usually benign but maybe malignant in 25-43% cases. Factors predicting malignancy include size >7 cm, mitotic activity, necrosis, hemorrhage, and nuclear atypia. Case ReportA 29 y/o Caucasian female presented with secondary amenorrhea and hirsutism. History includes DM2,hypothyroidism,depression and morbid obesity. She reported early pubarche by age 8,menarche at age 13 and developed hirsutism and irregular menstrual cycles from age 15. No workup due to poor follow up until she saw PCP at age 21.She was diagnosed with PCOS and started on Metformin. Eventually referred to endocrinology at age 27, since amenorrhea and hirsutism persisted. On exam she had significant male pattern hair loss and hirsutism over face and body.She reported three first trimester miscarriages.Labs showed testosterone 370 ng/dl, 17 OHP 808 ng/dl, DHEAS 47 ng/dl, Estradiol 117 pg/ml, FSH 2.2 mIU/ml, LH 2.5 mIU/ml, androstenedione 319 ng/dl.Transvaginal US was unremarkable. She was diagnosed with non classical adrenal hyperplasia (NCAH) and started on treatment with prednisone 5 mg daily, drospirenone and spironolactone 100 mg daily.3 months later, labs showed 50% lowering of testosterone to 199 ng/dl and 17 OHP to 407 ng/dl.There was continued biochemical and clinical improvement at the next visit with 17 OHP 73 ng/dl and testosterone 55 ng/dl. Labs done 21 months after initial presentation, showed sudden dramatic rise in 17 OHP to 1148 ng/dl and testosterone to 639 ng/dl. Normal AFP, HCG, CEA, CA125, CA19-9, Inhibin A. CT showed 10.4 cm solid right ovarian mass and underwent right salpingo-oophorectomy. Pathology showed steroid cell tumor, NOS. Labs 1 month postoperatively showed complete normalization of testosterone to <3 ng/dl, 17 OHP to 11 ng/dl and DHEAS 0.66 ng/dl. Steroid therapy was tapered and discontinued. DiscussionWe present the case of a patient with ovarian SCT presenting as NCAH.SCTs are very rare accounting for only 0.1% of all ovarian tumors. Since they commonly secrete androgens, they present similarly to CAH or PCOS and may rarely even co-exist with CAH. Differentiating between NCAH and SCT is difficult especially when there is initial response to steroid therapy and imaging is unremarkable as with our patient. It is important to consider SCT in patients with hyperandrogenism even in the setting of elevated 17 OHP levels. Care should be taken to follow up both clinical and metabolic metrics closely and investigate if any change is noticed. Early diagnosis can prevent irreversible symptoms of hyperandrogenism. Presentation: 6/1/2024

7696 Ovarian Steroid Cell Tumor Presenting As Non-classical Adrenal Hyperplasia

Abstract Disclosure: V. Reddy: None. A. Gowda: None. V. Vattipally: None. D. Kunduru: None. Ovarian Steroid Cell Tumor Presenting as Non-classical Adrenal Hyperplasia IntroductionSteroid cell tumors(SCT) of the ovary make up less than 0.1% of all ovarian tumors. The three subtypes are stromal luteoma, Leydig cell tumor, and steroid cell tumor-not otherwise specified (NOS) which is the commonest subtype. Androgen excess is seen in 75% tumors and presents with virilization. Tumors are usually benign but maybe malignant in 25-43% cases. Factors predicting malignancy include size >7 cm, mitotic activity, necrosis, hemorrhage, and nuclear atypia. Case ReportA 29 y/o Caucasian female presented with secondary amenorrhea and hirsutism. History includes DM2,hypothyroidism,depression and morbid obesity. She reported early pubarche by age 8,menarche at age 13 and developed hirsutism and irregular menstrual cycles from age 15. No workup due to poor follow up until she saw PCP at age 21.She was diagnosed with PCOS and started on Metformin. Eventually referred to endocrinology at age 27, since amenorrhea and hirsutism persisted. On exam she had significant male pattern hair loss and hirsutism over face and body.She reported three first trimester miscarriages.Labs showed testosterone 370 ng/dl, 17 OHP 808 ng/dl, DHEAS 47 ng/dl, Estradiol 117 pg/ml, FSH 2.2 mIU/ml, LH 2.5 mIU/ml, androstenedione 319 ng/dl.Transvaginal US was unremarkable. She was diagnosed with non classical adrenal hyperplasia (NCAH) and started on treatment with prednisone 5 mg daily, drospirenone and spironolactone 100 mg daily.3 months later, labs showed 50% lowering of testosterone to 199 ng/dl and 17 OHP to 407 ng/dl.There was continued biochemical and clinical improvement at the next visit with 17 OHP 73 ng/dl and testosterone 55 ng/dl. Labs done 21 months after initial presentation, showed sudden dramatic rise in 17 OHP to 1148 ng/dl and testosterone to 639 ng/dl. Normal AFP, HCG, CEA, CA125, CA19-9, Inhibin A. CT showed 10.4 cm solid right ovarian mass and underwent right salpingo-oophorectomy. Pathology showed steroid cell tumor, NOS. Labs 1 month postoperatively showed complete normalization of testosterone to <3 ng/dl, 17 OHP to 11 ng/dl and DHEAS 0.66 ng/dl. Steroid therapy was tapered and discontinued. DiscussionWe present the case of a patient with ovarian SCT presenting as NCAH.SCTs are very rare accounting for only 0.1% of all ovarian tumors. Since they commonly secrete androgens, they present similarly to CAH or PCOS and may rarely even co-exist with CAH. Differentiating between NCAH and SCT is difficult especially when there is initial response to steroid therapy and imaging is unremarkable as with our patient. It is important to consider SCT in patients with hyperandrogenism even in the setting of elevated 17 OHP levels. Care should be taken to follow up both clinical and metabolic metrics closely and investigate if any change is noticed. Early diagnosis can prevent irreversible symptoms of hyperandrogenism. Presentation: 6/1/2024

A modified multi-node human thermoregulation model with improved sweating response to simulate human physiological behaviours in warm and hot environments

The present research developed a modified multi-node thermoregulation model derived from the renowned Tanabe and JOS series models (JOS-2 and JOS-3). The JOS-3 model's predictions showed an abrupt spike in mean skin temperature, contradicting the findings from experiments. The JOS-3 model's sweating mechanism exhibits an inconsistency, and the sweating mechanism is not triggered promptly and accurately, leading to a sudden rise in skin temperature. This disparity significantly impacts the ability of the model to precisely replicate thermoregulatory responses under various climatic conditions and levels of physical activity. The proposed modified thermoregulation model extends the JOS-3 model by modifying the set-point temperature and sweating signals. The performance of the developed modified thermoregulation model is thoroughly analyzed under various conditions involving different environmental conditions, activity levels, and clothing types. The proposed model eliminates abrupt rise in the mean skin temperature and improves its prediction accuracy, notably reducing mean skin temperature RMSE in hot-humid conditions (0.66 °C vs. 0.85 °C) compared to the JOS-3 model. In hot-dry settings, improvements are significant, reducing the mean skin temperature and core temperature RMSE (0.48 °C vs. 0.06 °C and 0.05 °C vs. 0.02 °C, respectively). Overall, the modified thermoregulation model offers a reliable and accurate solution to analyze human physiological conditions for a wide range of practical problems.

Comprehensive Study of EPDM Rubber Properties: Temperature-Dependent Stiffness, Tensile Behavior and FEA Calibration

Abstract This work examines the temperature-dependent stiffness of Ethylene Propylene Diene Monomer (EPDM) rubber using tensile testing and Dynamic Mechanical Analysis (DMA). Additionally, it provides an appropriate model for Finite Element Analysis (FEA). The tensile tests indicate that EPDM has high rigidity and minimal elongation at −40°C, intermediate characteristics at 23°C, and a decrease in stiffness with rising temperature, up to 80°C. Nevertheless, a sudden rise in rigidity is seen at a temperature of 125°C, which may be ascribed to the strengthening influence of carbon black. The DMA findings confirm this pattern, demonstrating an upward trend in storage modulus and stiffness as temperature increases. At the same time, tan delta and loss modulus fall, suggesting a reduction in viscoelastic damping. The calibration of the Finite Element Analysis (FEA) model, using the Arruda-Boyce, Yeoh 3D, and Mooney-Rivlin 5-parameter models, determines that the Arruda-Boyce model is the most precise in accurately replicating the experimental data. The results indicate that the improved resistance to heat and increased rigidity of EPDM at high temperatures are affected by its material composition. However, more investigation is required to have a comprehensive understanding of the underlying processes.

Compressible ocean waves generated by sudden seabed rise near a step-type topography

A typical tsunami generation occurs through submarine earthquakes leading to large volume displacement. The corresponding mathematical problem involves modeling surface water waves generated by an arbitrary temporal motion of the ocean floor. The propagation of tsunami wave and the subsequent scattering from a sudden drop in bathymetry away from the ground motion is studied following linearized water wave theory and a weakly compressible ocean, including static oceanic background compression. The Fourier transformation and eigenfunction expansion techniques are employed to find the surface displacement and pressure profiles by leveraging appropriate matching conditions between regions of different depths. A novel energy balance relationship is derived by considering both the pure-gravity and acoustic-gravity modes. The model is validated in the limit that the depth difference approaches zero, showing a vanishing reflection contribution from the depth change. An efficient numerical code is developed that accurately captures the contribution of the cutoff frequencies of acoustic-gravity modes. Apart from the time-domain propagation of tsunami waves away from the origin, standing wave formations are observed within the shallow region, supported by significantly large pressure fluctuations in time. These standing waves or, equivalently, the pressure fluctuations sustain longer for larger ocean depth. The increase in tsunami speed in the deeper region is readily visible in the time-domain simulations. A three-dimensional axisymmetric solution is also developed, and results show a more gradual sloping tsunami wavefront compared to the equivalent two-dimensional solution for shallower depths. Animation movies corresponding to the two- and three-dimensional surface profiles are provided for better visualization.

AI powered privacy protection: A survey of current state and future directions

The research is conducted to investigate how AI transforms the notion of protection of privacy through discussing the status quo technologies, challenges, and future directions. All due to the sudden rise of digital data, protection of personal information has evolved as a major concern for which AI-enabled solutions are being introduced. Advanced concepts of AI are therefore marking the paradigm shift in how organizations handle sensitive data, letting more secure and privacy-oriented practices lead the way with notions such as differential privacy, federated learning, and anomaly detection. However, despite these advances, formidable challenges remain regarding the opacity of AI models, possible algorithmic biases, and regulatory compliance. The paper further discusses the future of AI for privacy protection, with new developments: XAI, integration of AI with blockchain, and quantum-resistant cryptography. These advances offer great transparency, security, and responsibility in privacy management. It further underlines that the collaboration of governments, industrial leaders, and researchers is required in providing appropriate frameworks for the usage of AI, given the ethical and regulatory concerns around privacy protection as the influence of AI grows. While AI is indeed very promising in improving privacy protections, the degree to which it can actually function depends on the surmounting of present limitations and harmonization of technological development with shifting data privacy criteria. The AI in this research paper will continue to play a leading role in shaping the future of privacy preservation, with answers continuing to emanate from innovation, security, and ethical concerns. It is through continuous improvement and collaboration that AI can ensure effective privacy measures in an increasingly data-driven world.

Optimal ordering strategy for deteriorating items with maximum lifetime using trade credit financing under imprecise environments

In many business scenarios, a retailer is permitted specific credit period to pay back for the products bought earlier. This facility enables retailers to continue their business operations even when they are unable to raise funds or secure a business loan. To boost the market's demand, promotional effort is a very effective business strategy to the retailer for maximizing the profit. On the other hand, a sudden and significant rise in customer demand for an inventory leads to shortages. Moreover, inventory relevant unit cost coefficients become imprecise due to insufficient data, human error etc. Nowadays, neutrosophic set quantifies the impreciseness more realistically. Considering these facts, an imprecise EOQ model for deteriorating items with maximum lifetime is formulated under trade credit facility. In addition, this article allows shortages, which are linearly time-dependent partially back-logged. Here, the unit cost coefficients are expressed as single-valued trapezoidal neutrosophic numbers. Furthermore, particular models are derived under different environments - intuitionistic, fuzzy, and crisp. Step-by-step solution procedures are suggested for all models to obtain optimal solutions. Models are numerically illustrated with real-life data, and some sensitivity analyses are performed. Managerial insights demonstrate that depletion time always depends on demand. Again, the present study suggests to reduce demand by halting the promotional activities during the shortage period and choose products with a larger lifetime.

Danish university policies on generative AI

The sudden and meteoric rise of generative Artificial Intelligence (genAI) has raised fundamental concerns for universities. Using Bacchi’s methodology on ‘problematisation’, we analyse which concerns Danish universities have addressed through their policies and guidelines. We identify three key problematisations: assessment integrity, legality of data and veracity. While each of these problematisations involves specific limitations, together they also strongly emphasise symbolic and epistemological issues and consequently mostly ignore the materiality of genAI, for example, in terms of labour and energy use. Drawing on critical AI studies, this article argues that universities should also consider the huge planetarycosts that (gen)AI poses as well as the full range of AI’s exploitative business models and practices. Universities should integrate these considerations into both their decision-making on (not) using certain technologies and their policies and guidelines for research and teaching, just as sustainability is already a criterion in their travel or investment policies today.

Accretion Properties of Soft X-Ray Transient XTE J1856+053 during Its 2023 Outburst

Soft X-ray transients (SXTs) are a subclass of the low-mass X-ray binaries that occasionally show a sudden rise in their soft X-ray luminosity; otherwise, they remain in an extremely faint state. We investigate the accretion properties of the SXT XTE J1856+053 during its 2023 outburst obtained by NICER and NuSTAR data in July. We present detailed results on the timing and spectral analysis of the X-ray emission during the outburst. The power spectral density shows no quasi-periodic oscillation features. The source’s spectrum on July 19 can be well fitted with a multicolor blackbody component, a power-law component, and a reflection component with a broadened iron emission line. NICER spectra can be well fitted by considering a combination of a blackbody and a power law. The source exhibits a transition within just 5 days from a soft state to an intermediate state during the outburst decline phase. The inner accretion disk has a low inclination angle (∼18°). The spectral analysis also suggests a high-spin (a > 0.9) black hole as the central accreting object.

Management Strategies for Hypertensive Crisis: A Systematic Review.

A hypertensive crisis is defined as a sudden and significant rise in blood pressure. The blood pressure reading is 180/120 mmHg or higher. A hypertensive crisis is a medical emergency. It can lead to a heart attack, stroke, or other life-threatening medical problems. Investigating the management of the hypertensive crisis was the goal of this study. English-language articles were collected from 2010 to 2024 demonstrating the management of the hypertensive crisis. Overall, there were 15 articles. Surveys and analyses of national databases were the most widely used methods (n=15). The scientific studies documented (1) all investigative studies or reports that included a hypertensive crisis diagnosis, (2) data integrity and reproducibility, and (3) management studies.Other studies show that acute severe hypertension in the hospital is associated with high rates of mortality and morbidity, particularly with new or worsening end-organ damage. The problem is linked to poor medical adherence, but alarmingly low follow-up rates are likely to contribute to a high recurrence rate. The treatment of acute severe hypertension varies according to the hospital unit (medical ward or intensive care unit), medication, and blood pressure targets or thresholds. Because of a lack of evidence-based guidance, arbitrary blood pressure control targets are used, or blood pressure targets are crudely extrapolated from guidelines intended primarily for outpatient management. Patients with acute aortic dissection need to be administered intravenous esmolol within 5 to 10 minutes in order to lower their blood pressure right away. The goal is to maintain a systolic reading of less than 120 mm Hg. Vasodilators such as nitroglycerin or nitroprusside may be administered if the blood pressure persists following beta blocking. Intravenous administration of clevidipine, nicardipine, or phentolamine is required; the initial dose is 5 mg, with subsequent doses given every 10 minutes as necessary to achieve the desired reduction in blood pressure.

Implementing heuristic-based multiscale depth-wise separable adaptive temporal convolutional network for ambient air quality prediction using real time data

In many emerging nations, rapid industrialization and urbanization have led to heightened levels of air pollution. This sudden rise in air pollution, which affects global sustainability and human health, has become a significant concern for citizens and governments. While most current methods for predicting air quality rely on shallow models and often yield unsatisfactory results, our study explores a deep architectural model for forecasting air quality. We employ a sophisticated deep learning structure to develop an advanced system for ambient air quality prediction. We utilize three publicly available databases and real-world data to obtain accurate air quality measurements. These four datasets undergo a data cleaning to yield a consolidated, cleaned dataset. Subsequently, the Fused Eurasian Oystercatcher-Pathfinder Algorithm (FEO-PFA)—a dual optimization method combining the Eurasian Oystercatcher Optimizer (EOO) and Pathfinder Algorithm (PFA)—is applied. This method aids in selecting weighted features, optimizing weights, and choosing the most relevant attributes for optimal results. These optimal features are then incorporated into the Multiscale Depth-wise Separable Adaptive Temporal Convolutional Network (MDS-ATCN) for the ambient Air Quality Prediction (AQP) process. The variables within MDS-ATCN are further refined using the proposed FEO-PFA to enhance predictive accuracy. An empirical analysis is performed to compare the efficacy of our proposed model with traditional methods, underscoring the superior effectiveness of our approach. The average cost function is reduced to 5.5%, the MAE to 28%, and the RMSE to 14% by the suggested method, according to the performance research conducted with regard to all datasets.

Understanding the sudden rise of type 2 diabetes in children

Understanding the sudden rise of type 2 diabetes in children

Acute occlusion of the left main coronary artery following impedance rise after high-frequency catheter ablation.

We present a case of catheter ablation of a premature ventricular complex complicated by left main injury. During ablation from the left coronary cusp, a sudden rise in impedance was followed by ST elevation on the ECG. Angioplasty and stenting were performed immediately; however, the stent subsequently developed repeated stenosis.