Miracle-dz/UniFAR-FTUs huggingface dataset:
Do metacognitions mediate the relationship between irrational beliefs, eating disorder symptoms and cognitive reappraisal?

Abstract Objective: Cognitively oriented therapies, first-line treatment for eating disorders (EDs), still show room for improvement in treatment retention and outcomes. Despite the development of additional cognitive models and therapies, few studies examine the relationship between traditional and third-wave cognitive targets in EDs. The study explores the relationship between irrational beliefs (IBs) and metacognitions and their relationship with ED psychopathology and cognitive reappraisal in ED outpatients. Method: Seventy-seven patients (mean age 27.49 ± 12.28 years) were assessed with The Attitudes and Beliefs Scale-ABS-2, Meta-cognitions Questionnaire-MCQ-65, Eating Disorder Inventory 3-EDI-3, Eating Attitudes Test-EAT-40, Emotion Regulation Questionnaire-ERQ. Results: Correlational analyses showed that IBs and metacognitions significantly correlated with each other. Metacognitions partially mediated the relationship between IBs and ED-related general psychological maladjustment and completely mediated the relationship between IBs and ED symptom severity. Cognitive reappraisal was predicted only by IBs and metacognitions were not significant mediators. Conclusions: While IBs are sufficient in explaining ED-related psychopathology and reduced use of cognitive reappraisal, a potential integration of metacognitions about need to control thoughts in CBT models for EDs may offer incremental validity given their contribution to ED severity. Treatment implications include targeting metacognitions concerning need to control thoughts, as a potential maintenance mechanism of ED symptomatology through cognitive restructuring.
A rapidly deployed, interactive, online visualization system to support fatality management during the coronavirus disease 2019 (COVID-19) pandemic

Abstract Objective To create an online visualization to support fatality management in North Carolina. Materials and Methods A web application aggregates online datasets for coronavirus disease 2019 (COVID-19) infection rates and morgue utilization. The data are visualized through an interactive, online dashboard. Results The web application was shared with state and local public health officials across North Carolina. Users could adjust interactive maps and other statistical charts to view live reports of metrics at multiple aggregation levels (eg, county or region). The application also provides access to detailed tabular data for individual facilities. Discussion Stakeholders found this tool helpful for providing situational awareness of capacity, hotspots, and utilization fluctuations. Timely reporting of facility and county data were key, and future work can help streamline the data collection process. There is potential to generalize the technology to other use cases. Conclusions This dashboard facilitates fatality management by visualizing county and regional aggregate statistics in North Carolina.
Classical versus non-classical EGFR mutations: Erlotinib response and impact of renal insufficiency

Introduction Erlotinib is an effective treatment option for EGFR-mutant non-small cell lung cancer. It is important to predict patients who will respond better to erlotinib. We designed this study to investigate the effect of renal insufficiency (RI) on erlotinib treatment outcomes. Methods All patients receiving erlotinib were stratified into 3 groups. Group 1 consisted of non-RI subjects with classical epidermal growth factor receptor (EGFR) mutations, Group 2 consisted of those with RI (Estimated glomerular filtration rate <60 mL/min) and classical EGFR mutations, and Group 3 consisted of those with non-classical EGFR mutations. Results 82 patients were included in the study. Median progression-free survival (PFS) in patients with classical mutation was approximately 6 months shorter in those with RI, although not statistically significant. Median overall survival (OS) in Group 1, 2 and 3 was 34.1 months, 35.2 months, and 15 months, respectively and although not statistically significant, median OS was 20 months shorter in Group 3. Univariate and multivariate cox-regression analysis revealed shorter PFS and OS in males and those with ECOG ≥2 while PFS and OS were longer in those with recurrent lung tumors and generating rash during erlotinib treatment. There was no difference between RI and non-RI patients in terms of adverse events except for fatigue and appetite loss. Conclusions This research showed OS in patients with and without RI was comparable. Although not statistically significant, PFS in patients with classical mutation was approximately 6 months shorter in those with RI patients.
Low Hippocampal Dentate Gyrus Volume Associated With Hypertension-Related Cognitive Impairment

Hypertension increases the risk of cognitive impairment independent of detectable stroke or cerebral lesions. However, the principal pathophysiological basis of this increase has not been fully elucidated. The present study investigates the relationships among blood pressure, hippocampal subfields volume, and cognitive function in a relatively young non-stroke population. A total of 59 non-stroke non-dementia subjects (mean age, 57.2 ± 4.9 years) were enrolled. All subjects were subjected to complete assessment of vascular risk factors including 24-hour blood pressure monitoring, various neuropsychological tests, and 3D-T1 MR scan. Freesurfer V6.0 was used for segmentation of hippocampal subfields. Our analyses revealed that both 24-hour and daytime mean systolic blood pressure (SBP) were significantly associated with the low volume of the left DG. Higher coefficient of variation (CV) of daytime SBP was significantly associated with lower volume of the left Cornu Ammonis 4 and dentate gyrus (DG) region. Both higher CV of 24-hour mean SBP and daytime SBP were significantly associated with lower performance in both executive and linguistic function. The low volume of the left DG was significantly associated with the low performance in linguistic function. Our findings support that reduced DG volume and increased SBP variability associated with hypertension-related cognitive impairment.
COVID‐19 pandemic and mental distress in multiple sclerosis: Implications for clinical management

In multiple sclerosis (MS), disease‐related factors and dysfunctional coping might favor the development of mental distress induced by COVID‐19 containment measures. Aim of this study was exploring the relationship between disability, coping strategies, daily life reorganization and neuropsychiatric symptoms in an Italian MS population during the COVID‐19 lockdown, in order to identify potentially modifiable factors that could inform clinical management of mental distress in people with MS.
Synthesis of benzamide derivatives with thiourea‐substituted benzenesulfonamides as carbonic anhydrase inhibitors

The novel compounds with the chemical structure of N‐({4‐[N′‐(substituted)sulfamoyl]phenyl}carbamothioyl)benzamide (1a–g) and 4‐fluoro‐N‐({4‐[N′‐(substituted)sulfamoyl]phenyl}carbamothioyl)benzamide (2a–g) were synthesized as potent and selective human carbonic anhydrase (hCA) I and hCA II candidate inhibitors. The aryl part was changed to sulfacetamide, sulfaguanidine, sulfanilamide, sulfathiazole, sulfadiazine, sulfamerazine, and sulfametazine. The Ki values of compounds 1a–g were in the range of 20.73 ± 4.32 to 59.55 ± 13.07 nM (hCA I) and 5.69 ± 0.43 to 44.81 ± 1.08 nM (hCA II), whereas the Ki values of compounds 2a–g were in the range of 13.98 ± 2.57 to 75.74 ± 13.51 nM (hCA I) and 8.15 ± 1.5 to 49.86 ± 6.18 nM (hCA II). Comparing the Ki values of the final compounds and acetazolamide, compound 1c with the sulfanilamide moiety (Ki = 5.69 ± 0.43 nM, 8.8 times) and 2f with the sulfamerazine moiety (Ki = 8.15 ± 1.5 nM, 6.2 times) demonstrated promising and selective inhibitory effects against the hCA II isoenzyme, the main target protein in glaucoma. Furthermore, compounds 1d (Ki = 20.73 ± 4.32, 4 times) and 2d (Ki = 13.98 ± 2.57, 5.9 times), which have the sulfathiazole moiety, were found as potent hCA I inhibitors. Compounds 1c and 2f can be considered as the lead compounds determined in the present study, which can be investigated further to alleviate glaucoma symptoms.
Successful treatment of pityriasis rubra pilaris with guselkumab: Serum CCL20 as a potential marker for the disease activity

Dear Editor, A 47-year-old woman presented with a 3-month history of pruritic erythema, which began on her scalp and spread to her face, trunk, arms, palms, and thighs. Histological analysis revealed psoriasiform epidermal hyperplasia, hyperkeratosis with alternating orthokeratosis and parakeratosis, and superficial perivascular dermal lymphocytic infiltrate. Blood tests (full blood count and biochemistry) did not reveal any abnormalities except for a mild elevation in serum levels of lactate dehydrogenase and aspartate aminotransferase. Additionally, anti-HIV antibody was negative. Based on the clinical course, histologic findings, and blood test results, we diagnosed this patient with type 1 pityriasis rubra pilaris (PRP). Treatment with oral etretinate (30 mg/day) was ineffective and was stopped because of side effects (liver injury). Oral apremilast therapy and phototherapy (bath-PUVA) combined with topical steroid (class 1-2) also had no beneficial therapeutic effects. During these treatments, the erythema spread further, and the percentage of the affected body surface area (BSA) and static physician global assessment (sPGA) reached 90% and 5, respectively (Figure 1, week 0). Pruritus was also increased, and the patient's quality of life was severely impaired. After obtaining written informed consent from the patient, we initiated treatment with guselkumab 100 mg administered as a single subcutaneous injection. After 4 weeks, the severity and extent of erythema was slightly but undoubtedly decreased. Therefore, we repeated the administration of guselkumab 100 mg subcutaneously after 4 weeks and continued it at 8-week intervals. At 24 weeks after the initial injection, BSA and sPGA reduced to 2% and 1, respectively (Figures 1 and 2). Therefore, subsequent injections were discontinued. At 38 weeks after the initial injection, erythema and pruritis were completely absent, and no relapse occurred at 36 weeks after the last injection.
Caste‐specific gene expression underlying the differential adult brain development in the honeybee Apis mellifera

Apis mellifera adult workers feature more developed key brain regions than queens, which allows them to cope with the broad range of duties they need to perform in a colony. However, at the end of larval development, the brain of queens is largely more developed than that of workers. Major morphogenetic changes take place after metamorphosis that shift caste‐specific brain development. Here, we tested the hypothesis that this phenomenon is hormonally governed and involves differential gene expression. Our molecular screening approach revealed a set of differentially expressed genes in Pp (first pharate‐adult phase) brains between castes mainly coding for tissue remodelling and energy‐converting proteins (e.g. hex 70a and ATPsynβ). An in‐depth qPCR analysis of the transcriptional behaviour during pupal and pharate‐adult developmental stage in both castes and in response to artificially augmented hormone titres of 18 genes/variants revealed that: i. subtle differences in hormone titres between castes might be responsible for the differential expression of the EcR and insulin/insulin‐like signalling (IIS) pathway genes; ii. the morphogenetic activity of the IIS in brain development must be mediated by ILP‐2, iii. which together with the tum, mnb and caspase system, can constitute the molecular effectors of the caste‐specific opposing brain developmental trajectories.
MicroRNA-613 alleviates IL-1β-induced injury in chondrogenic CHON-001 cells by targeting fibronectin 1.

BACKGROUND Osteoarthritis (OA) is an aging-related chronic degenerative joint disease. A number of miRNAs have been found to be involved in the development of OA, but the role of miR-613 in OA remains unclear. Thus, this study aimed to investigate the role of miR-613 during the progression of OA. METHODS CHON-001 cells were transfected with miR-613 agonist for 48 h, and then exposed to 10 ng/mL IL-1β for 24 h. Cell viability, cell proliferation and cell apoptosis in CHON-001 cells were assessed by CCK-8, immunofluorescence, and flow cytometry assays, respectively. In addition, the dual luciferase reporter system assay was used to determine the interaction of miR-613 and fibronectin 1 in CHON-001 cells. RESULTS The level of miR-613 was significantly decreased in IL-1β-treated CHON-001 cells. Overexpression of miR-613 markedly inhibited IL-1β-induced apoptosis in CHON-001 cells. In addition, upregulation of miR-613 obviously alleviated IL-1β-induced inflammatory response and cartilage matrix degradation in CHON-001 cells. Meanwhile, fibronectin 1 was identified as a direct binding target of miR-613 in CHON-001 cells. Overexpression of miR-613 alleviated IL-1β-induced injury in CHON-001 cells via downregulating the expression of fibronectin 1. Furthermore, overexpression of miR-613 alleviated cartilage degradation, and reduced OARSI scores and subchondral bone thickness in a mouse model of OA. CONCLUSION Our data indicated that overexpression of miR-613 could inhibit IL-1β-induced injury in CHON-001 cells via decreasing the level fibronectin 1 in vitro, and alleviate the symptoms of OA in vivo. Therefore, miR-613 might be a potential therapeutic option for the treatment of OA.
Quantitative Magnetic Resonance Imaging Assessment of the Quadriceps Changes during an Extreme Mountain Ultramarathon.

Extreme ultra-endurance races are growing in popularity but their effects on skeletal muscles remain mostly unexplored. This longitudinal study explores physiological changes in mountain ultramarathon (MUM) athletes' quadriceps using quantitative magnetic resonance imaging (qMRI) coupled with serological biomarkers. The study aimed to monitor the longitudinal effect of the race and recovery, and to identify local inflammatory and metabolic muscle responses by codetection of biological markers. METHODS An automatic image processing framework was designed to extract imaging-based biomarkers from qMRI acquisitions of the upper legs of 20 finishers at three time points. The longitudinal impact of the race was demonstrated by analyzing the image markers with dedicated biostatistical analysis. RESULTS Our framework allows a reliable calculation of statistical data not only inside the whole quadriceps volume but also within each individual muscle heads. Local changes in MRI parameters extracted from quantitative maps were described and found significantly correlated with principal serological biomarkers of interest. A decrease in the PDFF after the race and a stable paramagnetic susceptibility value were found. Pairwise post hoc tests suggested that the recovery process differs among the muscle heads. CONCLUSION This longitudinal study conducted during a prolonged and extreme mechanical stress, showed that quantitative MRI-based markers of inflammation and metabolic response can detect local changes related to the prolonged exercise, with differentiated involvement of each head of the quadriceps muscle as expected in such eccentric load. Consistent and efficient extraction of the local biomarkers enables to highlight interplay/interactions between blood and MRI biomarkers. This work indeed proposes an automatized analytic framework to tackle the time consuming and mentally exhausting segmentation task of muscle heads in large multi-time-points cohorts.
A structural model for contextual code changes

We address the problem of predicting edit completions based on a learned model that was trained on past edits. Given a code snippet that is partially edited, our goal is to predict a completion of the edit for the rest of the snippet. We refer to this task as the EditCompletion task and present a novel approach for tackling it. The main idea is to directly represent structural edits. This allows us to model the likelihood of the edit itself, rather than learning the likelihood of the edited code. We represent an edit operation as a path in the program’s Abstract Syntax Tree (AST), originating from the source of the edit to the target of the edit. Using this representation, we present a powerful and lightweight neural model for the EditCompletion task. We conduct a thorough evaluation, comparing our approach to a variety of representation and modeling approaches that are driven by multiple strong models such as LSTMs, Transformers, and neural CRFs. Our experiments show that our model achieves a 28% relative gain over state-of-the-art sequential models and 2× higher accuracy than syntactic models that learn to generate the edited code, as opposed to modeling the edits directly. Our code, dataset, and trained models are publicly available at https://github.com/tech-srl/c3po/ .
ADCC: An Effective and Intelligent Attention Dense Color Constancy System for Studying Images in Smart Cities

As a novel method eliminating chromatic aberration on objects, computational color constancy has becoming a fundamental prerequisite for many computer vision applications. Among algorithms performing this task, the learning-based ones have achieved great success in recent years. However, they fail to fully consider the spatial information of images, leaving plenty of room for improvement of the accuracy of illuminant estimation. In this paper, by exploiting the spatial information of images, we propose a color constancy algorithm called Attention Dense Color Constancy (ADCC) using convolutional neural network (CNN). Specifically, based on the 2D log-chrominance histograms of the input images as well as their specially augmented ones, ADCC estimates the illuminant with a self-attention DenseNet. The augmented images help to tell apart the edge gradients, edge pixels and non-edge ones in log-histogram, which contribute significantly to the feature extraction and color-ambiguity elimination, thereby advancing the accuracy of illuminant estimation. Simulations and experiments on benchmark datasets demonstrate that the proposed algorithm is effective for illuminant estimation compared to the state-of-the-art methods. Thus, ADCC offers great potential in promoting applications of smart cities, such as smart camera, where color is an important factor for distinguishing objects.
Recognition of occupational therapy exercises for cerebral palsy

RECOGNITION OF OCCUPATIONAL THERAPY EXERCISES FOR CEREBRAL PALSY Mehmet Faruk Ongun M.S. in Computer Engineering Advisor: Uğur Güdükbay September 2018 Depth camera-based virtual rehabilitation systems are gaining traction in occupational therapy for approaching patients with cerebral palsy. When developing such a system, a domain specific exercise recognition method is vital. In order to design a successful gesture recognition solution for this specific purpose, some obstacles needs to be overcome, namely; detection of gestures that are not related to the defined exercise set and recognition of incorrect exercises that are performed by the patients to compensate for their lack of ability. A combination of solutions, that are based on hidden Markov models, targeting aforementioned obstacles are proposed and elaborated on. The proposed solution works for upper extremity functional exercises and critical compensation mistakes together with restrictions for classifying these mistakes are determined with the help of occupational therapists. Afterwards, we first aim to eliminate the undefined gestures by designing two models that produce adaptive threshold values. Then, we utilize specific negative models based on an approach named feature thresholding and train them specifically for each exercise to distinguish the compensation mistakes. We conducted various tests using our method in a laboratory environment under the supervision of occupational therapists and presented the results of our proposed approach.
The effectiveness of forecast‐based humanitarian assistance in anticipation of extreme winters: a case study of vulnerable herders in Mongolia

This paper presents evidence relating to a forecast‐based cash and non‐food item distribution among vulnerable herder households during the 2017–18 dzud (extreme winter) season in Mongolia, and analyses the results of a quasi‐experimental study evaluating its impacts. An innovative approach in disaster risk reduction, forecast‐based financing (FbF) can have short‐ and long‐term benefits to vulnerable households but remains understudied. The paper contributes information on a multimodal FbF programme offering one‐off cash grants and in‐kind veterinary kits. The data found significant effects of reduced mortality and increased offspring survival in some types of livestock, and that the timing of FbF assistance is crucial, as reported early assistance correlated to positive outcomes in terms of reduced animal mortality. These findings can be used to design more effective FbF interventions, to understand better the appropriateness of FbF designs, and to use early warnings and early actions to help people prepare and withstand disasters such as dzuds.
Aphasia in Alzheimer’s Disease and Other Dementias (ADOD): Evidence From Chinese

Speech and language impairments (aphasia) are typical of patients with Alzheimer’s Disease and other dementias (ADOD) and in some pathologies are diagnostic e.g. Primary Progressive Aphasia (PPA). One question concerns the reliability and validity of symptomatology across typologically different languages. A review of aphasia in ADOD across languages suggests a similar pattern of word comprehension, naming and word finding difficulties but also evidence of language specific features in symptomatology e.g. processing of tone in Chinese languages. Given differences in linguistic impairments across languages, it is recommended that screening for aphasia in community and epidemiological studies use a Short ScreeningTest (SST) that can be delivered across dialects and languages in indigenous languages and also multilingual populations.
The elephant grass (Cenchrus purpureus) genome provides insights into anthocyanidin accumulation and fast growth

Elephant grass (2n = 4x = 28; Cenchrus purpureus Schumach.), also known as Napier grass, is an important forage grass and potential energy crop in tropical and subtropical regions of Asia, Africa and America. However, no study has yet reported a genome assembly for elephant grass at the chromosome scale. Here, we report a high‐quality chromosome‐scale genome of elephant grass with a total size of 1.97 Gb and a 1.5% heterozygosity rate, obtained using short‐read sequencing, single‐molecule long‐read sequencing and Hi‐C chromosome conformation capture. Evolutionary analysis showed that subgenome A' of elephant grass and pearl millet may have originated from a common ancestor more than 3.22 million years ago (MYA). Further, allotetraploid formation occurred at approximately 6.61 MYA. Syntenic analyses within elephant grass and with other grass species indicated that elephant grass has experienced chromosomal rearrangements. We found that some key enzyme‐encoding gene families related to the biosynthesis of anthocyanidins and flavonoids were expanded and highly expressed in leaves, which probably drives the production of these major anthocyanidin compounds and explains why this elephant grass cultivar has a high anthocyanidin content. In addition, we found a high copy number and transcript levels of genes involved in C4 photosynthesis and hormone signal transduction pathways that may contribute to the fast growth of elephant grass. The availability of elephant grass genome data advances our knowledge of the genetic evolution of elephant grass and will contribute to further biological research and breeding as well as for other polyploid plants in the genus Cenchrus.