Miracle-dz/UniFAR-FTUs huggingface dataset:
Frequently Asked Questions in Patients With Adrenal Insufficiency in the Time of COVID-19

Adrenal insufficiency (AI) is a life-threatening disorder, with increased morbidity and mortality, especially in case of an acute illness that can increase the requirement of cortisol. A novel infectious disease, termed Coronavirus Disease 2019 (COVID-19), appeared in 2020. Therefore, AI patients are experiencing a novel challenge: the risk of infection. In our experience, a prompt contact to the Endocrine center (with a telemedicine consultation) and a full awareness of diseases (cortisol deficiency, COVID-19 and the self-management of an adrenal crisis) are important to motivate patients. Vaccine is an effective treatment to prevent hospitalization and aggressive course of COVID-19. Some patients manifest challenges due to inequitable access and vaccine hesitancy, resulting in a delay in the acceptance of vaccines despite the availability of vaccination services. Therefore, an effort of all physicians must be conducted in order to advise patients with AI. In this short review, we try to answer some frequently asked questions regarding the management of patients with AI.
Discovery of Single Nucleotide Polymorphisms for Resistance to Abnormal Vertical Growth in Macadamia

Abnormal vertical growth (AVG) syndrome is a serious threat to the Australian macadamia industry as it decreases the yield of nuts by as much as 70% per annum. A lack of information on the cause of AVG has hindered the development of an effective disease management strategy. Discovery of genetic markers associated with disease resistance can be used as tool for rapid selection of elite cultivars, hence helps in efficient disease management. Differences in field susceptibility of macadamia cultivars provide an opportunity for discovery of genetic markers that are associated with host resistance. REML mixed model analysis was performed to estimate the AVG rating of 51 cultivars from multiple origins using phenotypic data from 359 trees planted in four sites. Most of the Hawaiian cultivars were found as susceptible, while selections from the Australian macadamia industry breeding program were predominantly resistant. All the cultivars were genotyped for 13,221 DArTseq-based single nucleotide polymorphism (SNP) markers. A bulked sample analysis was performed using 20 genotypes each at the extremes of AVG phenotypic ratings. Ten SNP markers were predicted to be associated with AVG resistance and two arbitrarily selected SNP markers were validated using PCR and Sanger sequencing. Our findings suggest that AVG resistance in the commercial cultivars may be derived from the genomic introgression of Macadamia tetraphylla through interspecific hybridization. The results may support marker-assisted selection for macadamia germplasm with AVG resistance.
Perceived Coach-Created Motivational Climates as Predictors of Athletes’ Goal Reengagement: The Mediational Role of Goal Motives

Athletes have to face several challenges during the sport season, and one of them could involve dealing with unattainable goals. In these situations, being able to reengage in other goals as a form of goal adjustment and in response to contextual demands is adaptive. According to previous literature, some aspects of the athletes’ social context, such as coach-created motivational climates, could encourage more adaptive responses in athletes, and so it is possible that these climates would also promote athletes’ goal regulation and goal reengagement. The purpose of this study was twofold: to analyze whether athletes’ perception of empowering and disempowering climates were related to their goal reengagement through the mediation of goal motives; and to examine the interaction between the two climates when they predict reengagement through athletes’ goal motives. Participants were 414 Spanish university athletes (49.5% male, 50.5% female) who belonged to different university teams, with ages ranging from 17 to 33 years old (M = 20.61, SD = 2.58). In the sport facilities, all of them completed questionnaires that evaluated their perception of empowering and disempowering climates, their goal motives, and their goal reengagement. Structural equation modeling (SEM) results showed that perceived empowering climate positively predicted autonomous goal motives, which in turn had a positive relationship with goal reengagement. Conversely, perceived disempowering climate positively predicted controlled goal motives, which were not related to goal reengagement. Thus, we only found support for the indirect relationship between perceived empowering climate and goal reengagement through autonomous goal motives. Moderated mediation analyses revealed that interaction effects between perceived empowering and disempowering climates were not significant in the prediction of goal reengagement through goal motives. Findings revealed that the perception of empowering climates promotes athletes’ goal reengagement when goals become unattainable via the increase in their autonomous goal motives. Conversely, when athletes perceive disempowering climates, they have more controlled goal motives, which are not related to goal reengagement. In addition, the study supports the need to educate coaches to create more empowering and less disempowering climates.
DNA Methylation Data-Based Classification and Identification of Prognostic Signature of Children With Wilms Tumor

Background: As an epigenetic alteration, DNA methylation plays an important role in early Wilms tumorigenesis and is possibly used as marker to improve the diagnosis and classification of tumor heterogeneity. Methods: Methylation data, RNA-sequencing (RNA-seq) data, and corresponding clinical information were downloaded from the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) database. The prognostic values of DNA methylation subtypes in Wilms tumor were identified. Results: Four prognostic subtypes of Wilms tumor patients were identified by consensus cluster analysis performed on 312 independent prognostic CpG sites. Cluster one showed the best prognosis, whereas Cluster two represented the worst prognosis. Unique CpG sites identified in Cluster one that were not identified in other subtypes were assessed to construct a prognostic signature. The prognostic methylation risk score was closely related to prognosis, and the area under the curve (AUC) was 0.802. Furthermore, the risk score based on prognostic signature was identified as an independent prognostic factor for Wilms tumor in univariate and multivariate Cox regression analyses. Finally, the abundance of B cell infiltration was higher in the low-risk group than in the high-risk group, based on the methylation data. Conclusion: Collectively, we divided Wilms tumor cases into four prognostic subtypes, which could efficiently identify high-risk Wilms tumor patients. Prognostic methylation risk scores that were significantly associated with the adverse clinical outcomes were established, and this prognostic signature was able to predict the prognosis of Wilms tumor in children, which may be useful in guiding clinicians in therapeutic decision-making. Further independent studies are needed to validate and advance this hypothesis.
Modeling a Controlled-Floating Space Robot for In-Space Services: A Beginner’s Tutorial

Ground-based applications of robotics and autonomous systems (RASs) are fast advancing, and there is a growing appetite for developing cost-effective RAS solutions for in situ servicing, debris removal, manufacturing, and assembly missions. An orbital space robot, that is, a spacecraft mounted with one or more robotic manipulators, is an inevitable system for a range of future in-orbit services. However, various practical challenges make controlling a space robot extremely difficult compared with its terrestrial counterpart. The state of the art of modeling the kinematics and dynamics of a space robot, operating in the free-flying and free-floating modes, has been well studied by researchers. However, these two modes of operation have various shortcomings, which can be overcome by operating the space robot in the controlled-floating mode. This tutorial article aims to address the knowledge gap in modeling complex space robots operating in the controlled-floating mode and under perturbed conditions. The novel research contribution of this article is the refined dynamic model of a chaser space robot, derived with respect to the moving target while accounting for the internal perturbations due to constantly changing the center of mass, the inertial matrix, Coriolis, and centrifugal terms of the coupled system; it also accounts for the external environmental disturbances. The nonlinear model presented accurately represents the multibody coupled dynamics of a space robot, which is pivotal for precise pose control. Simulation results presented demonstrate the accuracy of the model for closed-loop control. In addition to the theoretical contributions in mathematical modeling, this article also offers a commercially viable solution for a wide range of in-orbit missions.
Latent Transforming Growth Factor-β Binding Protein-2 Regulates Lung Fibroblast-to-Myofibroblast Differentiation in Pulmonary Fibrosis via NF-κB Signaling

Despite past extensive studies, the mechanisms underlying pulmonary fibrosis (PF) still remain poorly understood. The aberrantly activated lung myofibroblasts, predominantly emerging through fibroblast-to-myofibroblast differentiation, are considered to be the key cells in PF, resulting in excessive accumulation of extracellular matrix (ECM). Latent transforming growth factor-β (TGFβ) binding protein-2 (LTBP2) has been suggested as playing a critical role in modulating the structural integrity of the ECM. However, its function in PF remains unclear. Here, we demonstrated that lungs originating from different types of patients with PF, including idiopathic PF and rheumatoid arthritis-associated interstitial lung disease, and from mice following bleomycin (BLM)-induced PF were characterized by increased LTBP2 expression in activated lung fibroblasts/myofibroblasts. Moreover, serum LTBP2 was also elevated in patients with COVID-19-related PF. LTBP2 silencing by lentiviral shRNA transfection protected against BLM-induced PF and suppressed fibroblast-to-myofibroblast differentiation in vivo and in vitro. More importantly, LTBP2 overexpression was able to induce differentiation of lung fibroblasts to myofibroblasts in vitro, even in the absence of TGFβ1. By further mechanistic analysis, we demonstrated that LTBP2 silencing prevented fibroblast-to-myofibroblast differentiation and subsequent PF by suppressing the phosphorylation and nuclear translocation of NF-κB signaling. LTBP2 overexpression-induced fibroblast-to-myofibroblast differentiation depended on the activation of NF-κB signaling in vitro. Therefore, our data indicate that intervention to silence LTBP2 may represent a promising therapy for PF.
Normal Acceleration Behavior of Passenger Vehicles Starting from Rest at All-Way Stop-Controlled Intersections

Acceleration characteristics of passenger cars starting from rest are often used in traffic simulation, modeling of vehicle fuel consumption and emissions, and design of intersections, acceleration lanes for entrance terminals, turning bays, and passing lanes. Most of the previous studies developed four different acceleration models: the constant acceleration model, the two-phase model, the linear-decreasing acceleration model, and the polynomial acceleration model. However, most of the studies were based on outdated and limited data, so their conclusions may not be applicable for the current vehicle fleet and drivers. The normal acceleration behavior of current passenger vehicles starting from rest at all-way stop-controlled intersections is evaluated, and the previous acceleration models are verified with recent observations. A comparison is included between the acceleration behaviors of straight and turning maneuvers and the influence of speed limits on acceleration rates, and two new polynomial models are developed for driver acceleration behavior for turning maneuvers versus straight maneuver acceleration from a stopped condition.
Research on the Design of Laptop Temperature Control System

In this paper, the temperature control of laptops is studied for the purpose of making laptops fit to work in low temperature environment. In the research, we designed the temperature testing module with the method of accuracy and simplicity, so that RF heating and PWM pulse is adopted. The AVR mega32 MCU is used as the core of the whole system, and Fuzzy-PID is chosen as the algorithm of the system. The system code is programmed by the C languages. The whole system is capable of keep the errors of temperature under 1°C.
S0033291720001749jra 80..89

Background. Nitric oxide synthase (NOS) activity, an enzyme potentially involved in the major depressive episodes (MDE), could be indirectly measured by the L-Citrulline/ L-Arginine ratio (L-Cit/L-Arg). The aim of this study was: (1) to compare the NOS activity of patients with a MDE to that of healthy controls (HC); (2) to assess its change after antidepressant treatment. Methods. A total of 460 patients with a current MDE in a context of major depressive disorder (MDD) were compared to 895 HC for NOS activity (L-Cit/L-Arg plasma ratio). L-Arg and L-Cit plasma levels were measured using a MS-based liquid chromatography method. Depressed patients were assessed at baseline, and after 3 and 6 months of antidepressant treatment for depression severity and clinical response. Results. Depressed patients had a lower NOS activity than HC at baseline [0.31 ± 0.09 v. 0.38 ± 0.12; 95% confidence interval (CI) −0.084 to −0.062, p < 0.0001]. Lower NOS activity at baseline predicted a higher response rate [odds ratio (OR) = 29.20; 95% CI 1.58–536.37; p = 0.023]. NOS activity in depressed patients increased significantly up to 0.34 ± 0.08 after antidepressant treatment (Est = 0.0034; 95% CI 0.0002–0.0067; p = 0.03). Conclusions. Depressed patients have a decreased NOS activity that improves after antidepressant treatment and predicts drug response. NOS activity may be a promising biomarker for MDE in a context of MDD.
Metadata Schema to support FAIR Data in Scanning Electron Microscopy

The development and the adoption of metadata schemas and standards are a key aspect in data management. In this paper, we introduce our approach to a metadata model in the field of Materials Science. We present the specific use case of a metadata schema for Scanning Electron Microscopy, a characterization technique which is routinely used in Materials Science. This metadata schema is aiming to be a de-facto stan265 Copyright © 2021 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). dard which will be openly available for reuse and further extension to other electron microscopy techniques.
EMOTION DYSREGULATION IN BORDERLINE PERSONALITY DISORDER

Background: Leading theories suggest that borderline personality disorder (BPD) is an emotion dysregulation disorder involving lower basal vagal tone, higher baseline emotion, heightened emotional reactivity, delayed emotional recovery, and emotion regulation deficits. However, the literature to date lacks a unifying paradigm that tests all of the main emotion dysregulation components and comprehensively examines whether BPD is an emotion dysregulation disorder and, if so, in what ways. The present study addressed empirical gaps with a unified paradigm that assessed whether BPD is characterized by five leading emotion dysregulation components compared to generalized anxiety disorder (GAD) and healthy control (HC) groups. Methods: Emotion was assessed across self-report, sympathetic, and parasympathetic indices. Participants with BPD, GAD, and HCs (N=120) first underwent baseline periods assessing basal vagal tone and baseline emotional intensity, followed by rejection-themed stressors assessing emotional reactivity. Participants then either reacted normally to assess emotional recovery or attempted to decrease emotion using mindfulness or distraction to assess emotion regulation implementation deficits. Results: Individuals with BPD and GAD exhibited higher self-reported and sympathetic baseline emotion compared to HCs. The BPD group also exhibited self-reported emotion regulation deficits using distraction only compared to the GAD group. Conclusions: There is minimal support for several emotion dysregulation components in BPD, and some components that are present appear to be pervasive across high emotion dysregulation groups rather than specific to BPD. However, BPD may be characterized by problems disengaging from emotion using distraction.
Thriving Predicts Grit through Self-efficacy among Filipino Students Enrolled in Online Education: the Moderating Role of Academic Stress

Empirical studies conducted in the Philippines show that learners struggle amidst the abrupt implementation of online education due to the COVID-19 pandemic. The present study was conducted to determine if students can thrive in such a difficult situation and if this thriving is instrumental in building grit, that is, perseverance in achieving long-term goals. There were 181 university students (39 males, 135 females, 7 unidentified) who took part in an online survey. It was investigated if thriving can predict grit directly and indirectly through self-efficacy and if this link is moderated by academic stress. The results showed that thriving is associated with higher grit and this relationship is mediated by self-efficacy. It was also shown that the impact of thriving on grit was strongest when academic stress is high. © Copyright: The Author(s). All articles are licensed under the terms and conditions of the Creative Commons Attribution 4.0 International License (CC-BY 4.0 <http://creativecommons.org/licenses/by/4.0/>).
Coproducing spatial information: Exploring govern- ment approaches and motivations at the local level

Recent government initiatives like e-government and open government have led to broader adoption of geospatial tools including mapping platforms to access, use, and analyze open data. These advancements open channels for coproduction in the form of sharing information, change notifications, opinions, or requests to government, based on citizen observation and local knowledge. Though current government initiatives have substantial potential for coproduction, the practical adoption and implementation of such practices vary reflecting the purposes, contexts, and motivations of those involved. This paper aims to understand how local governments are following different approaches to coproduce information with citizens and what motivates local governments in this process. We report findings based on interviews with 11 cities from the USA and Canada, which reveal four main approaches: the collection of new data, observation of changes, collection of opinions, and observation of preferences involving both explicit and implicit processes. Although these four approaches result from interactions between citizens and government, our findings also indicate a key role to be played by technology and partner organizations.
IMPROVING TRANSLITERATION SYSTEM FROM NÔM SCRIPTS INTO VIETNAMESE NATIONAL SCRIPTS USING LANGUAGE MODEL

: Nôm scripts were a means that our Vietnamese forefathers used to preserve our cultural identity against assimilation under periods of Chinese rule (Bắc thuộc). During roughly 1000 years from the tenth century to the early twentieth century, knowledge and experience were passed down from one generation to the next thanks to Nôm scripts as a writing system. Since the nineteenth century, Nôm scripts were gradually replaced by National scripts, which resulted in fewer and fewer Vietnamese people can read Nôm due to the difficulties in learning a different type of writing system. Nowadays, modern Vietnamese generations have lost access to 1000 years of written knowledge hidden in the ancient scripts. Fortunately, advances in computer science, namely machine translation, can help us transliterate Nôm scripts into National scripts. Therefore, we can regain access to our cultural heritage. Two major models influencing a transliteration system are the translation model and the language model. This paper proposes a method to improve a currently-in-use transliteration system called Nôm Converter. By building language models for specific literary forms and domains, together with a larger corpus, we can build a transliteration system that outperforms Nôm Converter. BLEU scores of our system are 82.80 and 89.72, while results on the same test sets of Nôm Converter are 56.84 and 50.95.
Budapest’s Living Memorial and the Reperformance of Countermemory

Condemned as a “forgery of history,” Budapest’s “Memorial to the Victims of the German Invasion of 1944” depicts Hungary as a victim of Nazi aggression, ignoring the state’s active participation in the deportation and murder of Hungarian Jews, Roma, homosexuals, and others. Since 2014, activists have maintained the nearby living memorial, inviting visitors to leave mementoes and converse about Hungary’s past, current events, and the national future. Reperforming the official monument, the living memorial disrupts the government’s problematic revisionism. We theorize reperformance as a tool for engaging the politics of contested memory and modeling democratic culture.
Endorectal Ultrasonography and Pelvic Magnetic Resonance Imaging Show Similar Diagnostic Accuracy in Local Staging of Rectal Cancer: An Update Systematic Review and Meta-Analysis

Background: Endorectal Ultrasonography (EUS-ERUS) and pelvic magnetic resonance imaging (MRI) are world-wide performed for the local staging of rectal cancer (RC), but no clear consensus on their indications is present, there being literature in support of both. The aim of this meta-analysis is to give an update regarding the diagnostic test accuracy of ERUS and pelvic MRI about the local staging of RC. Materials and methods: A systematic literature search from November 2020 to October 2021 was performed to select studies in which head-to-head comparison between ERUS and MRI was reported for the local staging of rectal cancer. Quality and risk of bias were assessed with the QUADAS-2 tool. Our primary outcome was the T staging accuracy of ERUS and MRI for which pooled accuracy indices were calculated using a bivariable random-effects model. In addition, a hierarchical summary receiver operating characteristic curve (hSROC) was created to characterize the accuracy of ERUS and MRI for the staging of T and N parameters. The area under the hSROC curve (AUChSROC) was determined as a measure of diagnostic accuracy. Results: Seven studies and 331 patients were included in our analysis. ERUS and MRI showed a similar accuracy for the T staging, with AUChSROC curves of 0.91 (95% C.I., 0.89 to 0.93) and 0.87 (95% C.I., 0.84 to 0.89), respectively (p = 0.409). For T staging, ERUS showed a pooled sensitivity of 0.82 (95% C.I. 0.72 to 0.89) and pooled specificity of 0.91 (95% C.I. 0.77–0.96), while MRI had pooled sensitivity and specificity of 0.69 (95% C.I. 0.55–0.81) and 0.88 (95% C.I. 0.79–0.93), respectively. ERUS and MRI showed a similar accuracy in the N staging too, with AUChSROC curves of 0.92 (95% C.I., 0.89 to 0.94) and 0.93 (95% C.I., 0.90 to 0.95), respectively (p = 0.389). Conclusions: In conclusion, ERUS and MRI are comparable imaging techniques for the local staging of rectal cancer.