The Prevalence of Atopy in Biologically TreatedSpondyloarthropathies: A Retrospective Study of 200 Patients

(1) Background: Recent data shed light on the association between atopic disorders (ADs) (atopic dermatitis, allergic asthma, allergic rhinitis) and spondyloarthropathies (SpAs), underpinning the critical role of T helper (Th)1-Th17/Th2-T regulatory cells disbalance. We evaluated the prevalence of AD in axial SpAs (axSpAs) and psoriatic arthritis (PsA) and explored the potential association between atopic status, disease-related parameters, and biological therapy. (2) Methods: A monocentric, retrospective study was conducted that enrolled 200 patients taking biologics. Demographics, disease, and drug-related variables, along with a screening questionnaire focused on Ads, were systematically collected. (3) Results: Overall, 51 patients (25.5%) had atopy—namely, 24.4% of axSpA and 28% of PsA, with a higher frequency of rhinitis (43%) vs. atopic dermatitis (37.2%) or asthma (21.5%). We failed to demonstrate any statistically significant difference in demographics, SpA-related parameters excepting concomitant inflammatory bowel disease, and biologic drug exposure in patients with and without atopy (p > 0.05). However, significantly more non-atopic patients need only one TNF inhibitor (54%) vs. atopic patients (28%) (p < 0.05) to control active SpA. (4) Conclusions: We successfully demonstrated that AD is associated with one out of four SpA. Irrespective of the SpA subtype, atopic patients require more frequent switching among biologics, as significantly more non-atopic patients remain on their first anti-TNF.

A Blockchain-Based Authentication Protocol Using Cryptocurrency Technology in LEO Satellite Networks

With the rapid development of satellite technology and the high transmission efficiency of LEO satellites, LEO satellite communication has received increasing attention. However, the frequent switching of satellite-earth links imposes a great challenge in LEO communication authentication. To tackle this challenge, this paper proposes a Blockchain-based Authentication Protocol Using Cryptocurrency Technology (BAPC), which solves the problem of a long pause time of satellite services caused by user access authentication in a scenario of frequent switching between satellites and ground users. First, we design three stages of the authentication process and introduce the cryptocurrency technology. Using currency transactions as the certificate of authentication improves not only the security of authentication, but also the efficiency of switching authentication. Next, in the network topology, the satellite cluster is divided into multiple regions to improve the efficiency of block consensus. Finally, the protocol is tested through extensive NS2-based simulations, and the results verify that BAPC can greatly shorten the response time of switching authentication and significantly reduce the time of block generation and the network throughput. As the number of users increases, the block generation time and network throughput can be further reduced.

Syntactic Configuration of Code-Switching between Indonesian and English: Another Perspective on Code-Switching Phenomena

Code-switching, an alternation or mixing one language with another, has been an unmarked phenomenon for a multilingual society. In Indonesia, this phenomenon nowadays lives and thrives among the people. This study discusses the syntactic configuration of code-switching between Indonesian and English in terms of switched segments, points, and changing types. The study is descriptive qualitative in nature. The data comprise 25 recording hours of natural speech produced by 119 Indonesians in 4 types of interaction: seminars, meetings, TV dialogues, and chitchats conducted in six metropolitan cities—Jakarta, Bandung, Semarang, Yogyakarta, Surabaya, and Makassar. The sample drawn purposively comprises 550 switching discourses consisting of 666 switching corpora. It is found that nouns serving as subjects, predicators, objects of verbs, and prepositions to be the most dominant switched segments. A switch between Indonesian noun phrases and English noun phrases, Indonesian verbs or prepositions, and English objective noun phrases, Indonesian conjunctions, and English conjoined noun phrases or clauses is the most popular switched points, and intercausal switching including intraporal and interlexical switching is the most frequent switching type of code-switching between Indonesian and English. ANOVA Friedman’s test confirms that these patterns are the same among the four types of discourses, implying that such a syntactic configuration of Indonesia-English code-switching is universally applicable to any situation and type of interaction. In conclusion, the domination of nouns indicates that the syntactic configuration of Indonesian-English code-switching mainly occurs at minor constituents such as within a clause, phrase, and word boundaries. This demonstrates that code-switching between Indonesian and English is more likely to occur intrasentential rather than intersentential, which is the most popular anywhere in literature.

Improve PBFT Based on Hash Ring

Aiming at the problems of practical Byzantine fault tolerance (PBFT) algorithm, such as high communication complexity, frequent switching views because of Byzantine node become primary nodes and random selection of primary node, HR-PBFT algorithm is proposed. First, the HR-PBFT algorithm uses a hash ring to group nodes, which ensures the randomness and fairness of the grouping. Then, a dual-view mechanism is used in the consensus process, where the first layer node maintains the primary view and the second layer node maintains the secondary view to ensure the proper operation of the algorithm. Finally, the Byzantine node determination mechanism is introduced to evaluate the node status according to the node behavior in the consensus process, improve the reliability of primary node selection, and reduce the frequency of view changes. The experimental results show that the optimized HR-PBFT algorithm can effectively improve the problem of the sharp increase in the number of communications caused by the increase in the number of nodes in the network and prevent frequent view changes.

Impulsivity relates to multi-trial choice strategy in probabilistic reversal learning

Impulsivity is defined as a trait-like tendency to engage in rash actions that are poorly thought out or expressed in an untimely manner. Previous research has found that impulsivity relates to deficits in decision making, in particular when it necessitates executive control or reward outcomes. Reinforcement learning (RL) relies on the ability to integrate valenced outcomes to make good decisions, and has recently be shown to often recruit executive function; as such, it is unsurprising that impulsivity has been studied in the context of RL. However, how impulsivity relates to the mechanisms of RL remains unclear. We aimed to investigate the relationship between impulsivity and learning in a reward-driven learning task with probabilistic feedback and reversal known to recruit executive function. Based on prior literature in clinical populations, we predicted that higher impulsivity would be associated with poorer performance on the task, driven by more frequent switching following unrewarded outcomes. Our results did not support this prediction, but more advanced, trial-history dependent analyses revealed specific effects of impulsivity on switching behavior following consecutive unrewarded trials. Computational modeling captured group-level behavior, but not impulsivity results. Our results support previous findings highlighting the importance of sensitivity to negative outcomes in understanding how impulsivity relates to learning, but indicate that this may stem from more complex strategies than usually considered in computational models of learning. This should be an important target for future research.

Altimeter + INS/Giant LEO Constellation Dual-Satellite Integrated Navigation and Positioning Algorithm Based on Similar Ellipsoid Model and UKF

To solve the problem of location service interruption that is easily caused by incomplete visual satellite environments such as occlusion, urban blocks and mountains, we propose an altimeter + inertial navigation system (INS) + giant low earth orbit (LEO) dual-satellite (LEO2) switching integrated navigation algorithm based on a similar ellipsoid model and unscented Kalman filter (UKF). In addition to effectively improving the INS error, for the INS + LEO dual-satellite switching algorithm without altimeter assistance, our algorithm can also significantly suppress the problem of excessive navigation and positioning error caused by this algorithm in a long switching time, it does not require frequent switching of LEO satellites, and can ensure navigation and positioning functions without affecting LEO satellite communication services. In addition, the vertical dilution of precision (VDOP) value can be improved through the clock error elimination scheme, so, the vertical accuracy can be improved to a certain extent. For different altimeter deviations, we provide simulation experiments under different altimeter deviations; it can be found that after deducting the fixed height deviation, the algorithm can also achieve good accuracy. Compared with other typical algorithms, our proposed algorithm has higher accuracy, lower cost and stronger real-time performance, and is suitable for navigation and positioning scenarios in harsh environments.

The interpreter advantage in executive functions—A systematic review and meta-analysis

Given the heavy cognitive load inherent in language interpreting, interpreters may develop cognitive advantages from managing frequent switching of linguistic codes and working modes. Based on a systematic review of executive functions of inhibiting, shifting and working memory (WM) updating by Nour et al. (2020) and meta-analysis of working memory by Wen and Dong (2019) and Mellinger and Hanson (2019), this research follows the PICOS framework and the PRISMA guideline to synthesize findings from 98 tasks of 29 original studies from International and Chinese databases with a cut-off date of 1st October, 2020. Substantial evidence for an interpreter advantage in shifting was found, but not for inhibition or updating. The meta-analysis showed 1) a moderate to high effect in shifting (g = 0.68, seven WCST effects; g = -0.32, eight switching cost effects); 2) no effect in inhibiting (g = 0.13, six Stroop effects); 3) mixed effects in WM updating. Subgroup analysis on WM updating revealed significant training effects from within-group comparisons (g = 0.58, five 2-back effects; g = 0.71, two L2 listening span effects), but insignificant difference from between-group comparisons (g = -0.03 , five 2-back effects; g = 0.18, five L2 listening span effects ). More reproducible behavioral research with scientific and consistent designs is needed for a clearer understanding of the relationship between interpreting experience and EFs.

Mitigating the Effects of Task Switching in Baggage Screeners

Using a simulated baggage screening task, we investigated two literature-supported mitigation strategies for reducing the negative effects of task switching, namely less frequent switching and memory support. The study replicates widely reported switching effects on a complex task. The results also show that people can improve performance when provided memory support. When task switching, people can struggle to retrieve the correct task instruction due to the automatic process behind functional memory decay. Memory support reduces the negative effects of functional decay by providing people a reminder.

Hedging in decision making in disorders of the impulsive-compulsive spectrum

This dissertation comprises three studies that investigated the construct of hedging as a decision making strategy in individuals with Obsessive-Compulsive Disorder (OCD). Hedging refers to the tendency to keep options available when there is a threat of loss of the options that is motivated by the underlying construct of loss aversion (i.e., Prospect Theory). Hedging introduces a behavioural economic approach to the study and understanding of the impact of loss aversion on decision making. Participants played two conditions of the Doors Game (Shin & Ariely, 2004) in which they were instructed to maximize their earnings by tapping three doors in any order: i) constant availability (CA), where all doors remain available; and ii) decreasing availability (DA), where doors fade and disappear if left untapped after a short time (to elicit hedging). In Study One, undergraduates (N = 108) played both the CA and DA conditions and evidence indicates more frequent switching in the DA than the CA condition. There was also a significant negative association between hedging and the cognitive concern subscale of anxiety sensitivity. Study Two examined other psychological correlates of hedging in another undergraduate sample (N = 63) and yielded significant negative associations with the physical component of state anxiety and experience seeking. In Study Three, the results of a comparison of hedging among OCD, Gambling Disorder (GD), and Healthy Control (HC) groups yielded no significant differences. Correlates of hedging, however, differed among the groups and regression analyses suggest that hedging in OCD is negatively predicted by obsessiveness and decisiveness (subscale of the Need for Cognitive Closure; NFC), and positively predicted by experience seeking (subscale of the Sensation Seeking Scale). In the GD group, closed-mindedness (subscale of NFC) positively predicted hedging. In the HC group, fun-seeking (subscale of Behavioral Inhibition and Behavioral Activation Scale) positively predicted hedging. Implications: This work is the first to demonstrate predictors of hedging in OCD using a loss aversion paradigm where evidence suggests that obsessional and motivational drives lead to premature choice selection. Pursuing the loss aversion perspective could significantly advance the decision making research in OCD and in other clinical populations.

Hedging in decision making in disorders of the impulsive-compulsive spectrum

This dissertation comprises three studies that investigated the construct of hedging as a decision making strategy in individuals with Obsessive-Compulsive Disorder (OCD). Hedging refers to the tendency to keep options available when there is a threat of loss of the options that is motivated by the underlying construct of loss aversion (i.e., Prospect Theory). Hedging introduces a behavioural economic approach to the study and understanding of the impact of loss aversion on decision making. Participants played two conditions of the Doors Game (Shin & Ariely, 2004) in which they were instructed to maximize their earnings by tapping three doors in any order: i) constant availability (CA), where all doors remain available; and ii) decreasing availability (DA), where doors fade and disappear if left untapped after a short time (to elicit hedging). In Study One, undergraduates (N = 108) played both the CA and DA conditions and evidence indicates more frequent switching in the DA than the CA condition. There was also a significant negative association between hedging and the cognitive concern subscale of anxiety sensitivity. Study Two examined other psychological correlates of hedging in another undergraduate sample (N = 63) and yielded significant negative associations with the physical component of state anxiety and experience seeking. In Study Three, the results of a comparison of hedging among OCD, Gambling Disorder (GD), and Healthy Control (HC) groups yielded no significant differences. Correlates of hedging, however, differed among the groups and regression analyses suggest that hedging in OCD is negatively predicted by obsessiveness and decisiveness (subscale of the Need for Cognitive Closure; NFC), and positively predicted by experience seeking (subscale of the Sensation Seeking Scale). In the GD group, closed-mindedness (subscale of NFC) positively predicted hedging. In the HC group, fun-seeking (subscale of Behavioral Inhibition and Behavioral Activation Scale) positively predicted hedging. Implications: This work is the first to demonstrate predictors of hedging in OCD using a loss aversion paradigm where evidence suggests that obsessional and motivational drives lead to premature choice selection. Pursuing the loss aversion perspective could significantly advance the decision making research in OCD and in other clinical populations.