Using Contactless Facial Image Recognition Technology to Detect Blood Oxygen Saturation.

Since the outbreak of COVID-19, as of January 2023, there have been over 670 million cases and more than 6.8 million deaths worldwide. Infections can cause inflammation in the lungs and decrease blood oxygen levels, which can lead to breathing difficulties and endanger life. As the situation continues to escalate, non-contact machines are used to assist patients at home to monitor their blood oxygen levels without encountering others. This paper uses a general network camera to capture the forehead area of a person's face, using the RPPG (remote photoplethysmography) principle. Then, image signal processing of red and blue light waves is carried out. By utilizing the principle of light reflection, the standard deviation and mean are calculated, and the blood oxygen saturation is computed. Finally, the effect of illuminance on the experimental values is discussed. The experimental results of this paper were compared with a blood oxygen meter certified by the Ministry of Health and Welfare in Taiwan, and the experimental results had only a maximum error of 2%, which is better than the 3% to 5% error rates in other studies The measurement time was only 30 s, which is better than the one minute reported using similar equipment in other studies. Therefore, this paper not only saves equipment expenses but also provides convenience and safety for those who need to monitor their blood oxygen levels at home. Future applications can combine the SpO2 detection software with camera-equipped devices such as smartphones and laptops. The public can detect SpO2 on their own mobile devices, providing a convenient and effective tool for personal health management.

Extraction, Biochemical Characterization, and Health Effects of Native and Degraded Fucoidans from Sargassum crispifolium.

In the current investigation, a native crude fucoidan (Ex) was extracted from Sargassum crispifolium, pretreated by single-screw extrusion, and two degraded fucoidans, i.e., ExAh (degradation of Ex by ascorbic acid) and ExHp (degradation of Ex by hydrogen peroxide), were obtained. The extrusion pretreatment increased the extraction yield of fucoidan by approximately 1.73-fold as compared to the non-extruded sample. Among Ex, ExAh, and ExHp, their molecular weight and chemical compositions varied, but the structural features were similar. ExHp possessed the greatest antioxidant activities among the extracted fucoidans. According to the outcome, ExAh exhibited the maximum immune promoting effects via enhanced NO, TNF-α, IL-1ß, IL-6, and IL-10 secretion. Thus, both ExHp and ExAh may potentially be used as an effective antioxidant and as immunostimulant agents, which could be of great value in the development of food and nutraceutical products.

Inference about binocular sensitivity and specificity of screening tests for paired organs.

Recently Perera et al. introduced two new binocular accuracy measures to evaluate diagnostic tests for paired organs. They adopted the Gaussian copula model to account for correlation between fellow eyes. As the measures are functions of several joint probabilities and due to the nature of the joint models, variations of the estimates for the two new measures were assessed via bootstrapping. We provide a different approach to inference about the two interesting and innovative measures. In our opinion, when patients are independent, the binomial models suffice for inference about the parameters of interest. Inference becomes simple and straightforward. We perform numerical studies and analyse the data set as of Perera et al. for illustration. Also, we investigate thru simulations the issue of robustness of the Gaussian copula and the binomial models under model misspecification.

Rorschach scores in applied clinical practice: a survey of perceived validity by experienced clinicians.

We surveyed practicing clinicians who regularly used the Rorschach about the perceived clinical validity of specific Rorschach scores from many coding systems. The survey included quantitative feedback on the validity of specific variables as well as qualitative input in several areas, including the validity of specific variables, the potentially unique information that can be obtained from them, coding challenges associated with Comprehensive System (CS) codes, and recommendations for CS developments. Participants were recruited by applying a snowball sampling strategy. Based on responses from 246 experienced clinicians from 26 countries, composite judgments on rated variables were quite reliable (e.g., M α = .95 across 88 CS variables), despite limited agreement among any 2 judges. The aggregated judgments clearly differentiated among scores that were considered more and less clinically valid and the overall results aligned with recently obtained meta-analytic conclusions from the traditional validity literature (Mihura, Meyer, Dumitrascu, & Bombel, 2012). The judges also provided guidance concerning revisions and enhancements that would facilitate Rorschach-based assessment in the future. We discuss the implication of the quantitative and qualitative findings and provide suggestions for future directions based on the results.

Affect regulation and Depressive Personality Disorder.

Depressive Personality Disorder (DPD) has been under consideration for inclusion in the Diagnostic and Statistical Manual of Mental Disorders since 1994; yet, few studies have been published that test whether those with DPD have affective experiences that are characterized exclusively by depression and negative affect. One hundred ninety-seven undergraduate students were interviewed for DPD and Borderline Personality Disorder with the Personality Disorder Interview for DSM-IV (Widiger, Mangine, Corbitt, Ellis, & Thomas, 1995), in order to control for frequently co-occurring BPD which is characterized by affective lability. Participants also were administered measures of affective lability, affective intensity, anxious and depressive states, and more trait-like manifestations of depression, anxiety, and anger. Results indicate that those with DPD may be described as having a mood state characterized by transitions from a baseline neutral mood to one of anxiety, with their experiences being more prominently depressed and dysphoric. They also have tendencies toward angry hostility, though they may not report frequent shifts from a baseline neutral mood to anger. Those with DPD also report intense, frequent experiences of depression and dysphoria, with many shifts between depression and anxiety.