A 2PLM-RANK multidimensional forced-choice model and its fast estimation algorithm.

High-stakes non-cognitive tests frequently employ forced-choice (FC) scales to deter faking. To mitigate the issue of score ipsativity derived, many scoring models have been devised. Among them, the multi-unidimensional pairwise preference (MUPP) framework is a highly flexible and commonly used framework. However, the original MUPP model was developed for unfolding response process and can only handle paired comparisons. The present study proposes the 2PLM-RANK as a generalization of the MUPP model to accommodate dominance RANK format response. In addition, an improved stochastic EM (iStEM) algorithm is devised for more stable and efficient parameter estimation. Simulation results generally supported the efficiency and utility of the new algorithm in estimating the 2PLM-RANK when applied to both triplets and tetrads across various conditions. An empirical illustration with responses to a 24-dimensional personality test further supported the practicality of the proposed model. To further aid in the application of the new model, a user-friendly R package is also provided.

Two-Photon Phosphorescence Lifetime Microscopy.

Two-photon Phosphorescence Lifetime Microscopy (2PLM) is an emerging nonlinear optical technique that has great potential to improve our understanding of the basic biology underlying human health and disease. Although analogous to 2-photon Fluorescence Lifetime Imaging Microscopy (2P-FLIM), the contrast in 2PLM is fundamentally different from various intensity-based forms of imaging since it is based on the lifetime of an excited state and can be regarded as a "functional imaging" technique. 2PLM signal originates from the deactivation of the excited triplet state (phosphorescence) [1, 2]. Typically, this triplet state is a much longer-lived excited state than the singlet excited state resulting in phosphorescence emission times of microseconds to milliseconds at room temperature as opposed to nanoseconds for fluorescence emission [3]. The long-lived nature of the triplet state makes it highly sensitive to quenching molecules in the surrounding environment such as biomolecular oxygen (O2). Therefore, 2PLM can provide not only information on the distribution pattern of the probe in the sample (via intensity) but also determine the local oxygen tension (via phosphorescence lifetime quenching) [1]. The ability to create three-dimensional optical sections in the plane of focus within a thick biological specimen while maintaining relatively low phototoxicity due to the use of near-infrared wavelengths for two-photon excitation gives 2PLM powerful advantages over other techniques for longitudinal imaging and monitoring of oxygen within living organisms [4]. In this chapter, we will provide background on the development of 2PLM, discuss the most common oxygen sensing measurement methods and concepts, and explain the general principles and optical configuration of a 2PLM system. We also discuss the key characteristics and strategies for improvement of the technique. Finally, we will present an overview of the current primary scientific literature of how 2PLM has been used for oxygen sensing in biological applications and how this technique is improving our understanding of the basic biology underlying several areas of human health.

Brain Tissue PO2 Measurement During Normoxia and Hypoxia Using Two-Photon Phosphorescence Lifetime Microscopy.

Key to the understanding of the principles of physiological and structural acclimatization to changes in the balance between energy supply (represented by substrate and oxygen delivery, and mitochondrial oxidative phosphorylation) and energy demand (initiated by neuronal activity) is to determine the controlling variables, how they are sensed and the mechanisms initiated to maintain the balance. The mammalian brain depends completely on continuous delivery of oxygen to maintain its function. We hypothesized that tissue oxygen is the primary sensed variable. In this study two-photon phosphorescence lifetime microscopy (2PLM) was used to determine and define the tissue oxygen tension field within the cerebral cortex of mice to a cortical depth of between 200-250 µm under normoxia and acute hypoxia (FiO2 = 0.10). High-resolution images can provide quantitative distributions of oxygen and intercapillary oxygen gradients. The data are best appreciated by quantifying the distribution histogram that can then be used for analysis. For example, in the brain cortex of a mouse, at a depth of 200 µm, tissue oxygen tension was mapped and the distribution histogram was compared under normoxic and mild hypoxic conditions. This powerful method can provide for the first time a description of the delivery and availability of brain oxygen in vivo.

Examining the Robustness of the Graded Response and 2-Parameter Logistic Models to Violations of Construct Normality.

When fitting unidimensional item response theory (IRT) models, the population distribution of the latent trait (θ) is often assumed to be normally distributed. However, some psychological theories would suggest a nonnormal θ. For example, some clinical traits (e.g., alcoholism, depression) are believed to follow a positively skewed distribution where the construct is low for most people, medium for some, and high for few. Failure to account for nonnormality may compromise the validity of inferences and conclusions. Although corrections have been developed to account for nonnormality, these methods can be computationally intensive and have not yet been widely adopted. Previous research has recommended implementing nonnormality corrections when θ is not "approximately normal." This research focused on examining how far θ can deviate from normal before the normality assumption becomes untenable. Specifically, our goal was to identify the type(s) and degree(s) of nonnormality that result in unacceptable parameter recovery for the graded response model (GRM) and 2-parameter logistic model (2PLM).