Notes

Visual Indecisiveness Around Gamification and Games within Health Care: Materials Review and Continuing development of Game-Based Treatment Credit reporting Recommendations (Video gaming).
g., retrievers to house cats, Experiment 3). It was revealed that an ISPC effect was observed for the transfer items of each experiment, suggesting that these conflict signals can be linked based on broad feature similarity.
Indocyanine green (ICG) fluorescence staining is one of the most challenging procedures for laparoscopic anatomic liver resection (LALR). Here, we introduce a novel method based on the "hepatic pedicle first" approach that can improve the success rate of positive staining.

The target hepatic pedicle (even for the subsegment) was dissected through the first porta until it became visible. Five milliliters of 0.025mg/ml ICG was injected after the target hepatic pedicle (extra-Glissonian approach) or portal vein/hepatic artery (intra-Glissonian approach) was punctured successfully using scalp acupuncture under direct vision. Then, the Glissonian pedicle or vessel was clamped immediately to prevent the intrahepatic diffusion of ICG. During the operation, a fluorescence imaging model was used repeatedly to confirm the segmental boundary.

Finally, 24 patients underwent LALR with the "hepatic pedicle first" approach for ICG fluorescence-positive staining. In 5 patients, ICG-positive staining failed, representing a 79.17% success rate. The average staining time was 25.92min ± 14.64min. There were no complications associated with vessel puncture (bile leakage,hemorrhage,and thrombosis).

The "hepatic pedicle first" approach is a feasible, convenient, and safe method for ICG-positive staining, with a high success rate.
The "hepatic pedicle first" approach is a feasible, convenient, and safe method for ICG-positive staining, with a high success rate.
The role of branched-chain amino acids (BCAA) in improving muscle mass in cirrhosis is presently debatable.

To evaluate the role of BCAA in improving muscle mass in a double-blind randomized placebo-controlled trial in patients with cirrhosis having sarcopenia.

Consecutive patients with cirrhosis with Child-Pugh score < 10 and sarcopenia were randomized to receive either 12g/day of BCAA orally or a placebo (11) for 6months in addition to a home-based exercise program (30min/day), dietary counselling and standard medical therapy. Sarcopenia was defined according to gender-specific axial skeletal muscle index (SMI) cut-offs. The primary endpoint was a change in muscle mass based on CT scan (SMI) after 6months of supplementation.

Sixty patients [mean age 41.6 ± 9.9years; males (66.6%) of predominantly viral (40%) and alcohol-related (31.7%) cirrhosis] were randomized. Baseline clinical and demographic characters were similar except MELD score (10.2 ± 2.8 vs. 12.2 ± 3.5, p = 0.02) and calorie intake (1838.1kcal ± 631.5 vs. 2217.5kcal ± 707.3, p = 0.03), both being higher in the placebo arm. After adjusting for both baseline confounders, baseline SMI and protein intake, the change in SMI at 6months was similar in both groups [mean adjusted difference (MAD) + 0.84, CI -2.9; + 1.2, p = 0.42] by intention-to-treat analysis. The secondary outcomes including change in handgrip strength (p = 0.65), 6-m gait speed (p = 0.20), 6-min walk distance (p = 0.39) were similar in both arms. Four patients had minor adverse events in each arm.

Addition of BCAA to exercise, dietary counselling and standard medical therapy did not improve muscle mass in patients with cirrhosis having sarcopenia. (CTRI/2019/05/019269).

CTRI/2019/05/019269 (Clinical Trials Registry of India).
CTRI/2019/05/019269 (Clinical Trials Registry of India).We aimed to explore the effect of tofacitinib on erectile dysfunction (ED), as well as disease activity and health related quality of life in male patients with rheumatoid arthritis (RA). Forty eight male RA patients with ED were included. Demographic and clinical data at baseline and 6 month of treatment were recorded from patients' medical records. Disease activity was evaluated with the disease activity score on 28 joints (DAS28), quality of life with Health Assessment Questionnaire-Disability Index (HAQ-DI) and ED with International Index of Erectile Function-5 (IIEF-5). The patients were aged 45.58 [Formula see text] 2.14 years with a disease duration of 79.33 [Formula see text] 25.31 months. According to the IIEF-5, 17 (35.4%) patients had severe ED, 10 (20.8%) patients moderate ED, 10 (20.8%) patients mild to moderate ED and 11 (22.9%) patients mild ED. For the entire patient group, baseline median IIEF-5 score was significantly increased from 9.35 (5.30-19.40) to 9.90 (5.20-24.90), baseline median DAS28 was significantly decreased from 5.65 (4.80-6.70) to 5.00 (2.40-6.40), HAQ-DI from 1.70 (1.10-2.40) to 1.15 (0.40-2.20) at 6th month of treatment (all p value  less then  0.001). Also, quantitative change in IIEF-5 was significantly correlated with changes in DAS28 (r - 0.735, p  less then  0.001) and HAQ-DI (r - 0.700, p  less then  0.001). Tofacitinib monotherapy may improve ED severity and as well as disease activity and health related quality of life in male patients with RA complaining of ED.Symbol systems have a profound influence on human behavior, spanning countless modalities such as natural language, clothing styles, monetary systems, and gestural conventions (e.g., handshaking). Selective impairments in understanding and manipulating symbols are collectively known as asymbolia. Here we address open questions about the nature of asymbolia in the context of both historical and contemporary approaches to human symbolic cognition. We describe a tripartite perspective on symbolic cognition premised upon (1) mental representation of a concept, (2) a stored pool of symbols segregated from their respective referents, and (3) fast and accurate mapping between concepts and symbols. We present an open-source toolkit for assessing symbolic knowledge premised upon matching animated video depictions of abstract concepts to their corresponding verbal and nonverbal symbols. Animations include simple geometric shapes (e.g., filled circles, squares) moving in semantically meaningful ways. For example, a rectangle bending under the implied weight of a large square denotes "heaviness." We report normative data for matching words and images to these target animations. In a second norming study, participants rated target animations across a range of semantic dimensions (e.g., valence, dominance). In a third study, we normed a set of concepts familiar to American English speakers but lacking verbal labels (e.g., the feeling of a Sunday evening). We describe how these tools may be used to assess human symbolic processing and identify asymbolic deficits across the span of human development.To expand the tools available to arts researchers in psychology, we present the Open Gallery for Arts Research (OGAR), a free, open-source tool for studying visitor behavior within an online gallery environment. OGAR is highly extensible, allowing researchers to modify the environment to test different hypotheses, and it affords assessing a wide range of outcome variables. After describing the tool and its development, we present a proof-of-concept study that evaluates OGAR's usability and performance and illustrates some ways that it can be used to study the psychology of virtual visits. With a sample of 44 adults from an online participant panel who freely explored OGAR, we observed that OGAR had good usability based on high scores on the System Usability Scale and rare instances of self-reported nausea, among other usability markers. Furthermore, using position and viewing data provided by OGAR, we found that participants navigated the gallery and interacted with the artwork in predictable and coherent ways that resembled visitor behavior in real-world art museums. OGAR appears to be a promising tool for researchers and art professionals interested in how people navigate and experience virtual and real art spaces.Researchers and practitioners often use single-case designs (SCDs), or n-of-1 trials, to develop and validate novel treatments. Standards and guidelines have been published to provide guidance as to how to implement SCDs, but many of their recommendations are not derived from the research literature. For example, one of these recommendations suggests that researchers and practitioners should wait for baseline stability prior to introducing an independent variable. However, this recommendation is not strongly supported by empirical evidence. To address this issue, we used Monte Carlo simulations to generate graphs with fixed, response-guided, and random baseline lengths while manipulating trend and variability. Then, our analyses compared the type I error rate and power produced by two methods of analysis the conservative dual-criteria method (a structured visual aid) and a support vector classifier (a model derived from machine learning). The conservative dual-criteria method produced fewer errors when using response-guided decision-making (i.e., waiting for stability) and random baseline lengths. In contrast, waiting for stability did not reduce decision-making errors with the support vector classifier. Our findings question the necessity of waiting for baseline stability when using SCDs with machine learning, but the study must be replicated with other designs and graph parameters that change over time to support our results.Measurement is fundamental to all research in psychology and should be accorded greater scrutiny than typically occurs. Lysipressin Among other claims, McNeish and Wolf (Thinking twice about sum scores. Behavior Research Methods, 52, 2287-2305) argued that use of sum scores (a) implies that a highly constrained latent variable model underlies items comprising a scale, and (b) may misrepresent or bias relations with other criteria. The central claim by McNeish and Wolf that use of sum scores requires the assumption that a parallel test model underlies item responses is incorrect and without psychometric merit. Instead, if a set of items is unidimensional, estimators of reliability are available even if the factor model underlying the set of items does not have a highly constrained form. Thus, dimensionality of a set of items is the key issue, and whether strict constraints on parameter estimates do or do not hold dictate the appropriate way to estimate reliability. McNeish and Wolf also claimed that more precise forms of scoring, such as estimating factor scores, would be preferable to sum scores. We provide analytic bases for reliability estimation and then provide several demonstrations of reliability estimation and the relative advantages of sum scores and factor scores. We contend that several claims by McNeish and Wolf are questionable and that, as a result, multiple recommendations they made and conclusions they drew are incorrect. The upshot is that, once the dimensional structure of a set of items is verified, sum scores often have a solid psychometric basis and therefore are frequently quite adequate for psychological research.Network analyses have become increasingly common within the field of psychology, and temporal network analyses in particular are quickly gaining traction, with many of the initial articles earning substantial interest. However, substantial heterogeneity exists within the study designs and methodology, rendering it difficult to form a comprehensive view of its application in psychology research. Since the field is quickly growing and since there have been many study-to-study variations in terms of choices made by researchers when collecting, processing, and analyzing data, we saw the need to audit this field and formulate a comprehensive view of current temporal network analyses. To systematically chart researchers' practices when conducting temporal network analyses, we reviewed articles conducting temporal network analyses on psychological variables (published until March 2021) in the framework of a scoping review. We identified 43 articles and present the detailed results of how researchers are currently conducting temporal network analyses.
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