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Advancing animal behavior recognition with self-supervised pre-training on unlabeled data
Physiological fluid shear stress synergistically enhances the protective effects of Salvia miltiorrhiza extract on endothelial cells
Healthcare waste management practice and associated factors among health workers of public health centers in Adama City, Southern central Ethiopia, 2024: a cross-sectional study
Association of higher triglyceride glucose index and triglyceride to high density lipoprotein cholesterol ratio with early-onset post-stroke depression
An evaluation of the comparative effectiveness of the RIPASA and Alvarado scoring systems in diagnosing acute appendicitis: a cross-sectional study
Abstract The aim of this research is to evaluate the diagnostic precision of the Alvarado and RIPASA scoring systems in detecting acute appendicitis. This will be done by comparing their outcomes with histopathology, which is considered the most reliable benchmark for comparison. Accurate and prompt identification of acute appendicitis is crucial in order to avoid complications such as perforation and peritonitis. Over the years, several clinical scoring systems have been developed to aid in the diagnosis of acute appendicitis. The RIPASA (Raja Isteri Pengiran Anak Saleha Appendicitis) and Alvarado scoring systems are well recognised in the medical field. It is essential to do a comparison examination of these two scoring systems because to the possible changes in sensitivity, specificity, and overall diagnostic accuracy.This study included 145 male and female patients who presented with right iliac fossa discomfort and were thought to have acute appendicitis. Two diagnostic grading systems were used to guide surgical choices. Alvarado Score: Patients having a score of 7 or above were subjected to an appendectomy. RIPASA Score: Patients with a score less than 12 also had an appendectomy. 145 individuals included between the ages of 13 and 60, the Alvarado score was found to have a sensitivity of 34.4%, specificity of 75.8%, diagnostic accuracy of 51%, positive predictive value of 68.2%, and negative predictive value of 43.5% for diagnosing acute appendicitis. On the other hand, the RIPASA score performed better, with a sensitivity of 94.2%, specificity of 94.8%, diagnostic accuracy of 94%, positive predictive value of 96.5%, and negative predictive value of 91.6%. In the adult Pakistani population, the RIPASA scoring system demonstrates superior accuracy, sensitivity, specificity, PPV, and NPV compared to the Alvarado score, with a lower rate of negative appendectomies.
Heterotic potential and combining ability for yield and quality attributes in slicing cucumber (Cucumis sativus L.)
Electrostatics overcome acoustic collapse to assemble, adapt, and activate levitated matter
Acoustic levitation provides a unique method for manipulating small particles as it completely evades effects from gravity, container walls, or physical handling. These advantages make it a tantalizing platform for studying complex phenomena in many-particle systems. In most standing-wave traps, however, particles interact via acoustic scattering forces that cause them to merge into a single dense object. Here, we introduce a complementary approach that combines acoustic levitation with electrostatic charging to assemble, adapt, and activate complex, separated many-particle systems. The key idea is to superimpose electrostatic repulsion on the intrinsic acoustic attraction, rendering a so-called “mermaid” potential where interactions are attractive at short range and repulsive at long range. By controlling the attraction–repulsion balance, we can levitate expanded structures where all particles are separated, collapsed structures where they are in contact, and hybrid ones consisting of both expanded and collapsed components. We find that collapsed and expanded structures are inherently stable, whereas hybrid ones exhibit transient stability governed by acoustically unstable dimers. Furthermore, we show how electrostatics allow us to adapt between configurations on the fly, either by quasistatic discharge or discrete up/down charge steps. Finally, we demonstrate how large structures experience selective energy pumping from the acoustic field—thrusting some particles into motion while others remain stationary—leading to complex dynamics including coupled rotations and oscillations. Our approach establishes a design space beyond acoustic collapse, offering possibilities to study many-particle systems with complex interactions, while suggesting pathways toward scalable integration into materials processing and other applications.
Scaling up actionable climate knowledge
To address climate-driven crises, we need actionable climate knowledge to inform decision-making and support problem solving. Although the science of actionable knowledge is rapidly evolving, less is known about how and why actionable climate knowledge scales up and with what outcomes. We advance three outcome-driven pathways to scale up actionable climate knowledge: 1) broadening participation by increasing the diversity and number of actors involved in actionable climate knowledge coproduction; 2) diffusing actionable climate knowledge uptake among actors not originally involved in its coproduction, and 3) aggregating impact by coproducing actionable climate knowledge with influential actors, such as practitioners and policy-makers, whose decisions affect many others. These pathways can intersect, complement, interact, and tradeoff with each other. Understanding how these pathways work, evolve, and change is critical if we want to better inform the production and scaling of climate actionable knowledge to solve climate problems.
Science’s role in my Great British Sewing Bee success
A dual-functional cobalt ferrite nanocomplex for targeted cisplatin prodrug delivery and MALAT1 gene silencing in gastric cancer cells
Near-term climate extremes in Iran based on compound hazards analysis
Effects of resistance training on gait and muscle strength improvement in unilateral transfemoral amputees: a pilot investigation
Influence of transcutaneous tibial nerve stimulation on postoperative catheter-related bladder discomfort in urology: a prospective randomized controlled trial
Research on parameter optimization design of coreless transformer based on genetic algorithm
Developing a QSPR model for Alzheimer’s drugs using topological indices and M-polynomial: A computational study
RETRACTED ARTICLE: Macrogenomic analysis of the previous crops effects on tobacco soil microbiomes
Multicomponent stress-strength reliability analysis using the inverted exponentiated Rayleigh distribution under block adaptive type-II progressive hybrid censoring and k-records
Abstract We propose a statistical model for multicomponent stress-strength reliability under the inverted exponentiated Rayleigh distribution. The model is specifically designed for complex data structures where component strength is measured using block adaptive Type-II progressive hybrid censoring, while operational stress is captured as upper k-records with inter-k-record times. After formulating the reliability function for an s -out-of- k system, we develop both frequentist and Bayesian estimation procedures. Frequentist inference is based on the maximum likelihood estimator, from which we construct asymptotic and bootstrap confidence intervals. For the Bayesian analysis, we use squared error and linear exponential loss functions, obtaining estimates via the Tierney and Kadane approximation and a Metropolis-Hastings sampling algorithm. The performance of the estimators is evaluated through Monte Carlo simulations, which compare their bias and mean squared error. The results indicate that the Bayesian estimators are consistently more accurate than their frequentist counterparts. An analysis of two real datasets confirms the model’s practical utility for assessing system reliability in complex scenarios.