Corrigendum to "Assessment of the acute and sub-acute toxicity of the ethanolic extract of the aerial parts of Crassocephalum rabens (Asteraceae) in rats" [Toxicol. Rep. 9 (2022) 58-63].

[This corrects the article DOI: 10.1016/j.toxrep.2021.12.005.].

Assessment of the acute and sub-acute toxicity of the ethanolic extract of the aerial parts of Crassocephalum rabens (Asteraceae) in rats.

This pioneering study was to assess the acute and sub-acute toxicity of the ethanolic extract of the aerial parts of Crassocephalum rabens (Asteraceae) in rats. C. rabens is a common vegetable and herb for treating inflammation-related syndromes in Taiwan. Pharmacological studies have unveiled that the extracts of C. rabens have potential to become hepatoprotective, anti-inflammatory, or anti-cancer agents. The toxicological effects of the aerial parts of C. rabens in rodents are still elusive. For the acute toxicity study, rats were administrated with a single dose of 5,000 mg/kg body weight (BW) and observed for 14 days in accordance with the Organization for Economic Cooperation and Development (OECD) guideline No. 420. For the sub-acute toxicity study, animals were orally treated with daily doses of 0, 416.7, 833.3, and 1,666.7 mg/kg BW for 28 days based on the OECD guideline No. 407. The toxicity of the repeated dose was observed with anthropometric, hematological, and biochemical parameters as well as histology. The mortality and critical pathological and biochemical abnormalities were not observed in the acute and/or sub-acute toxicity studies. The oral median lethal dose (LD50) of the extract was greater than 5000 mg/kg BW. The no-observed-adverse-effect-level (NOAEL) in male and female rats was greater than 1,666.7 mg/kg BW. As such, the extract of the aerial parts of C. rabens is considered a non-toxic substance.

Influence of Accelerometer Placement and/or Heart Rate on Energy Expenditure Prediction during Uphill Exercise.

Studies using a triaxial accelerometer and heart rate (HR) simultaneously for estimating energy expenditure (EE) during uphill exercise are rare. Exploring the optimal location for placing the accelerometer for predicting EE during uphill exercise is essential. Sixteen healthy male participants (M ± SEM; age 25.00 ± 0.61 years; body weight 74.13 ± 2.51 kg; body height 1.74 ± 0.01 m; body mass index 24.30 ± 0.63 kg/m2) exercised on a treadmill under 12 conditions (4 speeds and 3 gradients) on 3 days. Triaxial accelerometers, an HR recorder, and a metabolic measurement system were simultaneously used. Accelerometer outputs from various anatomical locations (upper arm, chest, lower back, waist, thigh, and instep) showed significant positive correlations with EE (0.819, 0.846, 0.816, 0.820, 0.672, and 0.669, respectively; p < .05). The linear regression equation for changes in HR showed the highest coefficient of determination (r2) of .837 with 87.9% reliability. When the HR signal was included, the r2 value (> .842) and reliability (87.9%) between the accelerometer outputs and EE improved. Accelerometer outputs from the waist position alone provide highly accurate EE values. Using both accelerometer outputs and HR for EE estimation during uphill exercise is feasible and improves the accuracy of EE prediction.

Examining accommodation effects for equity by overcoming a methodological challenge of sparse data.

BACKGROUND: As accommodation itself is an equity issue in varied contexts in and beyond education (e.g., the provision of assistive technology, extended time, or read-aloud), it is critical to examine the equitability of accommodation policies and practices by examining their effects on student performance. AIMS: This study sought to assess the effectiveness of thirty-one bundled accommodations for students with learning disabilities, emotional or behavioral disorders, or multiple exceptionalities writing a provincial literacy test in Ontario, Canada. METHODS AND PROCEDURES: We employed quantitative methods of log-linear analysis and odds ratio to examine the data. To analyze sparse data, we compared three different adjustment methods to meet this methodological challenge. OUTCOMES AND RESULTS: Our findings suggest that the problems with sparse data can be overcome by an adjustment method. We also found that the likelihood of achieving the provincial standards may differ among students with special needs depending on whether they did or did not receive certain combinations of accommodations for the literacy test. CONCLUSIONS AND IMPLICATIONS: We recommend that education stakeholders review the accommodations that produced significant differential effects to address the concerns regarding whether the test results were interpreted validly and fairly for students with special needs.

A newly developed immunoassay method based on optical measurement for Protein A detection.

We describe the development of an immunoassay using an antibody-silver nanoparticle (Ab-AgNP) conjugate as a catalyst for the silver enhancement reaction. The immuno-reaction signals that were magnified by silver metal precipitation were quantified using a commercial flatbed scanner. Protein A from Staphylococcus aureus (S. aureus), a common clinical pathogenic bacterium, was used in this research. The ease of infection of S. aureus necessitates the development of a fast detection method. The framework of the method described in this paper is based on the sandwich immunoassay and contains a 1st antibody (immunoglobulin G, IgG), an antigen (Protein A), and a 2nd antibody-colloidal silver conjugate (IgG-AgNPs). The silver enhancement reaction, a signal amplification method in which silver ions are reduced to metallic silver, is used to magnify the immuno-reaction signal. The change in signal, as visualized in grayscale, can be easily observed and analyzed by our optical scanning detection system. The relationship between antigen concentration and grayscale value is discussed. The detectable concentration limit for the antigen was found to be 1 ng/mL with 10 µg/mL of IgG and 300 µM of the IgG-AgNP conjugate. This immunoassay method provides the advantages of low cost, easy operation, and short detection time. Moreover, it has potential applications in clinical diagnoses.

Path integral Monte Carlo study of the interacting quantum double-well model: quantum phase transition and phase diagram.

The discrete time path integral Monte Carlo with a one-particle density matrix approximation is applied to study the quantum phase transition in the coupled double-well chain. To improve the convergence properties, the exact action for a single particle in a double-well potential is used to construct the many-particle action. The algorithm is applied to the interacting quantum double-well chain for which the zero-temperature phase diagram is determined. The quantum phase transition is studied via finite-size scaling, and the critical exponents are shown to be compatible with the classical two-dimensional Ising universality class--not only in the order-disorder limit (deep potential wells), but also in the displacive regime (shallow potential wells).