Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of beliefs and attitudes about electroconvulsive therapy posted on Twitter: An observational study

Abstract Background Electroconvulsive therapy (ECT) is an effective and safe medical procedure that mainly indicated for depression, but is also indicated for patients with other conditions. However, ECT is among the most stigmatized and controversial treatments in medicine. Our objective was to examine social media contents on Twitter related to ECT to identify and evaluate public views on the matter. Methods We collected Twitter posts in English and Spanish mentioning ECT between January 1, 2019 and October 31, 2020. Identified tweets were subject to a mixed method quantitative–qualitative content and sentiment analysis combining manual and semi-supervised natural language processing machine-learning analyses. Such analyses identified the distribution of tweets, their public interest (retweets and likes per tweet), and sentiment for the observed different categories of Twitter users and contents. Results “Healthcare providers” users produced more tweets (25%) than “people with lived experience” and their “relatives” (including family members and close friends or acquaintances) (10% combined), and were the main publishers of “medical” content (mostly related to ECT’s main indications). However, more than half of the total tweets had “joke or trivializing” contents, and such had a higher like and retweet ratio. Among those tweets manifesting personal opinions on ECT, around 75% of them had a negative sentiment. Conclusions Mixed method analysis of social media contents on Twitter offers a novel perspective to examine public opinion on ECT, and our results show attitudes more negative than those reflected in studies using surveys and other traditional methods.
Chronic pain increases the risk of motoric cognitive risk syndrome at 4 years of follow‐up: evidence from the China Health and Retirement Longitudinal Study

Slower gait speed and subjective cognitive concerns are characteristics of the motoric cognitive risk (MCR) syndrome. This study aimed to examine if changes in pain may be hallmarks of early MCR, through investigating the magnitude of the association of chronic pain and the risk of MCR at 4 years follow‐up.
Three-Dimensional Analyses of Postoperative Effects of Surgically Assisted Rapid Palatal Expansion (SARPE) on the Soft Tissue of the Midface Region and the Upper Airway Space Using Stereophotogrammetry and Cone Beam Computed Tomography (CBCT)

Background Surgically assisted rapid palatal expansion (SARPE) is an established method to treat transverse maxillary hypoplasia in skeletally mature adult patients. SARPE affects the surrounding soft tissue. In addition, effects on the airway and breathing have been described. Aim of this study was to assess the effects of SARPE on the nasal soft tissue and the upper airway by means of three-dimensional stereophotogrammetry and cone beam computed tomography (CBCT). Methods This retrospective study used preoperative and postoperative cone beam computed tomography (CBCT) scans and three-dimensional stereophotogrammetry. Ten skeletally adult patients (4 male, 6 female; mean age 27.68 years) with transverse maxillary hypoplasia were included. Patients had undergone SARPE procedure, performed by the same surgical team using the same technique. Nasal soft tissue changes were analyzed, using three-dimensional stereophotogrammetry records taken preoperatively (t0) and at the postoperative checkup appointment (t1). The upper airway was assessed using CBCT scans for surgical planning (t0) and the first scan taken after SARPE (t1). Results In stereophotogrammetry, it was shown that only a few soft tissue nasal parameters increased significantly and SARPE leads to mainly clinically irrelevant changes in nasal soft tissue. In CBCT, only a significant increase in nasopharyngeal airway volume was found. Discussion Results were in alignment with literature. The effects of SARPE on the nasal soft tissue are mostly statistically insignificant and clinically irrelevant. Airway volume significantly increased in the nasopharyngeal area. Further research on SARPE effects should be conducted to reinforce SARPE as a treatment option for sleep apnea patients.
Using Process Data to Improve Classification Accuracy of Cognitive Diagnosis Model

Abstract With the advance of computer-based assessments, many process data, such as response times (RTs), action sequences, Eye-tracking data, the log data for collaborative problem-solving (CPS) and mouse click/drag becomes readily available. Findings from previous studies (e.g., Peng et al., Multivariate Behavioral Research, 1–20, 2021; Xu, The British Journal of Mathematical and Statistical Psychology, 73(3), 474–505, 2020; He & von Davier, Handbook of research on technology tools for real-world skill development (pp. 750–777). IGI Global, 2016; Man & Harring, Educational and Psychological Measurement, 81(3), 441–465, 2021) suggest a substantial relationship between this human–computer interactive process information and proficiency, which means these process data were potentially useful variables for psychological and educational measurement. To make full use of the process data, this paper aims to combine two useful and easily available types of process data, including the mouse click/drag traces and the response times, to the conventional cognitive diagnostic model (CDM) to better understand individual’s response behavior and improve the classification accuracy of existing CDM. Then the full Bayesian analysis using Markov chain Monte Carlo (MCMC) was employed to estimate the proposed model parameters. The viability of the proposed model was investigated by an empirical data and two simulation studies. Results indicated the proposed model combing both types of process data could not only improve the attribute classification reliability in real data analysis, but also provide an improvement on item parameters recovery and person classification accuracy.
Forages and Pastures Symposium: revisiting mechanisms, methods, and models for altering forage cell wall utilization for ruminants

Abstract Several ruminant animals rely almost exclusively on the complex polysaccharide matrix from the plant cell wall (CW) as their primary energy source via volatile fatty acids produced through ruminal and some hindgut fermentation processes. The CW contains different types and proportions of polysaccharides, proteins, phenolic compounds, and minerals in their macromolecular structure that influence the rate and extent of fiber digestion and selective retention of particulate matter due to its physical characteristics (buoyancy and comminuting) in the reticulorumen. The biosynthetic formation of the CW dictates possible manipulation mechanisms (targeted plant and microbes selection) and processing methods (physical, chemical, microbial, and enzymatic treatments and the use of genetically engineered bacteria) to increase its digestibility, leading to better utilization of the CW by the ruminant animal and hopefully lower the contribution of ruminants’ greenhouse gas emissions. Early studies on lignin biosynthesis have led to more advanced studies focusing on replacing traditional monolignols with homopolymers that are easier to deconstruct or degrade. Concurrently, laboratory methods must be developed, evaluated, and modified to accurately reflect the digestibility and nutritive value of CW brought about by modern manipulation mechanisms or processing methods. However, the laboratory methods must also be reliable, precise, feasible, trivial, easy to implement, and cost-effective, but at the same time environmentally friendly and aware. For instance, although the acid detergent lignin has been demonstrated to behave uniformly as a nutritional entity, its chemical determination and association with carbohydrates still lack consensus. Spectroscopy (near-infrared and Raman) and in vitro gas production techniques have been adopted to assess plant chemical composition and nutritive value, but an incomplete understanding of the impacts caused by disrupting the CW for sample processing still exists. Different variations of multicompartmental and time- and age-dependent mathematical models have been proposed to determine the ruminal rates of degradation and passage of fiber. However, low-quality and incomplete data due to inconsistent marker results used to determine passage rates and transit time of fiber in the gastrointestinal tract have hindered advancements and adoptions of the next generation of computer models to understand ruminal fiber degradation.
Draft Genome Sequence and Annotation of Priestia aryabhattai Strain BD1 Isolated from a Dye Sediment

The 5,079,658-bp genome of Priestia aryabhattai strain BD1 isolated from a dye waste sediment consists of 5,185 protein-coding genes, of which 790 were hypothetical proteins, 63 were RNAs, and 54 were pseudogenes. Putative genes involved in oxygen/redox potential sensing, dye degradation, metal toxicity, antibiotic tolerance, and benzoate metabolism were found. ABSTRACT The 5,079,658-bp genome of Priestia aryabhattai strain BD1 isolated from a dye waste sediment consists of 5,185 protein-coding genes, of which 790 were hypothetical proteins, 63 were RNAs, and 54 were pseudogenes. Putative genes involved in oxygen/redox potential sensing, dye degradation, metal toxicity, antibiotic tolerance, and benzoate metabolism were found.
ViSP: visually servoed paired structured light system for measuring structural displacement

To inspect structural conditions, structural displacement is needed to be monitored at any time. Therefore, our previous study proposed a ViSP (Visually Servoed Paired structured light system) which is composed of two sides facing with each other, each with a camera, a screen, and one or two lasers controlled by a 2-DOF manipulator. In this system, the relative translational and rotational displacement between two sides can be estimated by calculating positions of the projected laser beams on the screens and the rotation angles of the manipulators. To validate the performance of the system, the various experimental tests with a two-story structural model were performed. The estimated results were compared with the results from a laser displacement sensor which can be considered as a reference. The results show that the presented system has potential of estimating the response of the structures with high accuracy in real time.
Genome Sequence of an Ungulate Tetraparvovirus 1 from a Nasal Swab of an Irish Beef-Suckler Calf

Here, we report the genome sequence of strain UTPV1/AB belonging to the species Ungulate tetraparvovirus 1 (UTPV1). UTPV1/AB was isolated in the east of Ireland, directly from a nasal swab of a beef-suckler calf diagnosed with bovine respiratory disease on a farm in County Meath (longitude, 6°65′W; latitude, 53°52′N). ABSTRACT Here, we report the genome sequence of strain UTPV1/AB belonging to the species Ungulate tetraparvovirus 1 (UTPV1). UTPV1/AB was isolated in the east of Ireland, directly from a nasal swab of a beef-suckler calf diagnosed with bovine respiratory disease on a farm in County Meath (longitude, 6°65′W; latitude, 53°52′N).
Design and validation of a predictive model for determining the risk of developing fibromyalgia.

OBJECTIVES Fibromyalgia is a prevalent disease of unknown aetiology and is difficult to diagnose. Despite the availability of the American College of Rheumatology criteria for diagnosis, it continues to be a challenge in the field of primary health care in terms of identifying individuals with susceptibility to developing the disease. The aim of this study is to design and validate a predictive model of fibromyalgia in subjects with a history of chronic pain. METHODS This multicentre observational retrospective cohort study was performed on patients aged >18 years, who visited four primary health centres between 2017 and 2020, with a diagnosis of fibromyalgia or arthritis. The Bootstrapping resampling method was used for the validation of the model. RESULTS A total of 198 subjects with fibromyalgia (93 with osteoarthritis, 20 with other types of arthritis, 4 with rheumatoid arthritis) and 120 without fibromyalgia (116 with osteoarthritis, 23 with other types of arthritis, 7 with rheumatoid arthritis) participated in the study. The predictive factors of the final model were self-reported age at onset of symptoms, first-line family history of neurological diseases, exposure to levels of stress, history of post-traumatic acute emotional stress, and personal history of chronic widespread pain prior to diagnosis, comorbidity, and pharmacological prescription during the year of diagnostic confirmation. The predictive capacity adjusted by Bootstrapping was 0.972 (95% CI: 0.955-0.986). CONCLUSIONS The proposed model showed an excellent predictive capacity. The risk calculator designed from the predictive model allows health professionals to have a useful tool to identify subjects at risk of developing fibromyalgia.
Prevalence and Predictors of Substantial Postpartum Weight Retention Among Participants of the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) in Southern California

Purpose Identify the prevalence and predictors of substantial postpartum weight retention (SPPWR) among WIC mothers in Southern California during their first postpartum year. Design Secondary data analysis. Setting The 2020 Los Angeles County WIC Survey. Subjects Mothers of children up to 1-year-old (N = 1019). Measures Outcome variable: SPPWR (≥5 kg above pre-pregnancy weight). Predictors: child’s age, mother’s age, race, education, employment status since having child, healthcare coverage, food insecurity, depressed mood, instrumental support, emotional support, spouse’s participation in child’s life, gestational weight gain (GWG), pre-pregnancy BMI, any breastfeeding, and gestational diabetes. Analysis Weighted descriptive statistics and binary logistic regression. Results The prevalence of SPPWR was 31%. We found that for every 1 month increase in the child’s age (proxy for postpartum duration), the likelihood of SPPWR increased by 9% (AOR = 1.09, CI = 1.04-1.15). Mothers were more likely to have SPPWR when they exceeded GWG guidelines (AOR = 3.43, CI = 2.46-4.79). Compared to mothers with normal pre-pregnancy BMIs, mothers with overweight (AOR = .64, CI = .44-.94) and obese (AOR = .39, CI = .26-.58) pre-pregnancy BMIs were less likely to experience SPPWR. Conclusion Postpartum duration and maternal anthropometric characteristics were associated with SPPWR during the first postpartum year. Extending WIC eligibility for postpartum mothers to 2 years through the Wise Investment in Children Act may give WIC providers the opportunity to work closely with Southern California WIC mothers to achieve a healthy weight after pregnancy.
Integrative transcriptome analysis of triple negative breast cancer profiles for identification of druggable targets

Abstract As triple negative breast cancer (TNBC) lacks a specific target, exploration of abnormally expressed genes during the progression of TNBC is important for a better understanding of tumorigenesis and to find a specific target. We intended to figure out genes associated with TNBC, which can provide unique insights into gene dysregulation in TNBC while also pointing to new possible therapeutic targets for TNBC. A meta-analysis of multiple TNBC mRNA profiles was performed to identify consistently differentially expressed genes (CDGs). The pathways involved in modulating these genes were analyzed by MsigDB, and the interaction map was constructed. These CDGs were evaluated for their expression in cell lines, and drugs that could modulate the expression of CDGs were obtained using the connectivity map. CDGs were docked with doxorubicin and anethole, which is a phytocompound. The expression of selected CDGs was analyzed in MDA-MB-231 cells after treatment with doxorubicin and anethole. We found 45 CDGs, out of which 36 were upregulated and 9 were downregulated. MDA-MB-231 cell line was found to have high expression of CDGs, and drug that could modulate the expression of CDGs was doxorubicin. Docking results revealed that anethole and doxorubicin had good interaction with the CDGs especially with the genes AURKA, CDC6, DEPDC1, KIF23, KPNA2, MELK, CTNNB1, FLI1 and E2F1. Gene expression studies of the selected CDGs showed that the synergistic effect of anethole and doxorubicin effectively downregulated the expression. The CDGs identified from multiple cohorts have clinical significance and may be effectively exploited in the targeted therapy for TNBC. Communicated by Ramaswamy H. Sarma
Parametric identification of discrete-time SISO systems

Abstract The paper presents a method for the parametric identification of linear time-invariant discrete systems. The input and output data sequences of the system are initially transformed into information-bearing sequences of much lower order through the use of discrete Laguerre series. The parameter identification problem then becomes one of finding the solution to an overdetermined set of equations. Data transformation into the Laguerre spectrum is achieved through a fast and efficient computational algorithm which inherently possesses noise-reduction properties.
Weaving a story: Narrative formation over prolonged time scales engages social cognition and frontoparietal networks

Forming narratives is of key importance to human experience, enabling one to render large amounts of information into relatively compacted stories for future retrieval, giving meaning to otherwise fragmented occurrences. The neural mechanisms that underlie coherent narrative construction of causally connected information over prolonged temporal periods are yet unclear. Participants in this fMRI study observed consecutive scenes from a full‐length movie either in their original order, enabling causal inferences over time, or in reverse order, impeding a key component of coherent narratives—causal inference. In between scenes, we presented short periods of blank screens for examining post‐encoding processing effects. Using multivariate pattern analysis (MVPA) followed by seed‐base correlation analysis, we hypothesized that networks involved in online monitoring of incoming information on the one hand, and offline processing of previous occurrences on the other would differ between the groups. We found that despite the exposure to the same scenes, the chronological‐order condition exhibited enhanced functional connectivity in frontoparietal regions associated with information integration and working memory. The reverse‐order condition yielded offline, post‐scene coactivation of neural networks involved in social cognition and particularly theory of mind and action comprehension. These findings shed light on offline processes of narrative construction efforts, highlighting the role of social cognition networks in seeking for narrative coherence.
On the accuracy of general circulation statistics calculated from FGGE data—a comparison of results from two sets of analyses

By comparing statistics from two independent sets of analyses, and relating the differences seen to known characteristics of the analysis system, an indication is given of the likely accuracy of typical general circulation statistics calculated from FGGE data. The analyses compared are those made by the European Centre for Medium Range Weather Forecasts using the main delayed mode observations, and those made in near real time by the Meteorological Office FGGE analysis system. Examples are given of the accuracy of both zonal means and geographical distributions, for basic time mean fields, for derived fields such as divergence, variances and fluxes, and for budget calculations. It was found that qualitative agreement between the two sets of statistics was very good, even in the tropics and southern hemisphere. Quantitative agreement was also in general good; most of the systematic differences could be traced to known characteristics of the analysis systems.
Generation and selection of laser beams represented by a superposition of two angular harmonics

Abstract The properties of fields generated by diffractive phase-only optical elements that generate combinations of two angular harmonic fields with different harmonic indices in Fraunhofer and Fresnel regions are investigated theoretically and experimentally. Camomile shaped diffraction patterns are predicted and observed. It is shown that multi-order diffractive phase elements can be used to both generate these beams and to identify the weights of different angular harmonics in a given incident laser beam.
Dynamic yield, compressional, and elastic parameters for several lightweight intermetallic compounds.

Dynamic yield strengths, compression data under uniaxial shock‐wave loading, and sonic velocities at 1 bar are reported for polycrystalline TiB2, SiC, Be4B, Be4B+8 wt% BeO, Be2B, AlB12, TiBe12, and ZrBe13. Hugoniot elastic limits were measured as 86, 80, 74, 77, 65, 87, 53, and 71 kbar, respectively. Evidence of phase transitions was seen for the Be4B materials at 500 kbar and for SiC at 240 and 960 kbar.
EMBoost clustering based on spatial information for image segmentation

Compared with the traditional EM clustering algorithm, the EMBoost clustering algorithm can improve two problems that the sensitive result to initial value and the low precision. However, an important factor, the local information, is not considered in the EMBoost algorithm, which is useful to enhance the performance of the EMBoost algorithm, especially for image segmentation. We believe that neighbor pixels to the center measured by the space distance and the texture distance are beneficial to the internal consistency of the homogeneous region. Hence, we proposed a new approach that spatial information is brought into EMBoost clustering algorithm, which consisted of the adjacent pixels relative position and the neighbor texture distance, in order to improve the performance EMBoost clustering method. According to the experimental results of the texture image segmentation and the Synthetic Aperture Radar (SAR) image segmentation, the proposed method can obtain better accuracy and visual effect, compared against other methods.
Signaling landscape of mitochondrial non-coding RNAs

Abstract Human mitochondria are the vital cell organelle acting as a storehouse of energy generation and diverse regulatory functions. Mitochondrial DNA comprises 93% coding region and 7% non-coding regions, in which the non-coding region hypothesized as responsible for signaling is our specific interest. Here, we explored the unknown functions of mitochondrial non-coding RNAs by studying their respective signaling pathways. We retrieved conserved motifs of interactions from known experimental protein-RNA complexes to model unknown mitochondrial ncRNA sequences. Our results provide the ncRNAs list and show their involvement in four crucial pathways, such as (i) Processing of Capped Intron-Containing Pre-mRNA, (ii) Spliceosome, (iii) Spliceosomal assembly, and (iv) RNA Polymerase II Transcription, respectively. The interactome analysis revealed that the SRSF2 and U2AF2 proteins interact with ncRNAs. Further, we have simulated the selected ncRNA-protein complexes in cell-like environmental conditions and found them stable in terms of energetics. Through our study, we have identified an apparent interaction of mitochondrial ncRNAs with proteins and their role in critical signaling pathways, providing new insights into mitochondrial ncRNA-dependent gene regulation. Communicated by Ramaswamy H. Sarma