Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical significance of securin expression in solid cancers: A PRISMA-compliant meta-analysis of published studies and bioinformatics analysis based on TCGA dataset

Background: Numerous studies have investigated the clinical significance of securin expression in solid cancers; however, the results have been inconsistent. Hence, we performed a meta-analysis of published studies to assess the clinical value of securin expression in patients with solid cancers. Methods: The Chinese National Knowledge Infrastructure, Web of Science, PubMed, and EMDASE databases were searched for eligible studies (from inception up to April 2021). Bioinformatics analysis based on The Cancer Genome Atlas dataset was also performed to evaluate the prognostic value of securin expression. Results: A total of 25 articles with 26 studies were included in the meta-analysis. The results of the meta-analysis implied that high securin expression was positively correlated with unfavorable overall survival (OS) (hazard ratio = 1.52, 95% CI, 1.33–1.73; P < .001) and lymph node metastasis (odd ratio = 2.96, 95% CI, 2.26–3.86; P < .001). Consistently, our bioinformatics analysis showed that increased securin expression was associated with worse OS and shorter disease-free survival in cancer patients. Conclusion: Our study indicated that securin overexpression was positively associated with metastasis and inversely related to the prognosis of patients with solid cancers. However, additional high-quality studies should be conducted to validate these findings.
Ten-year mixed-method evaluation of prelicensure health professional student self-reported learning in an interfaculty pain curriculum

Students attending learning sessions at the University of Toronto Interfaculty Pain Curriculum (2009–2019) in Toronto, Canada, self-report high ratings of knowledge acquisition and effective presentation methods. See commentary: Trouvin A-P. “Ten-year mixed method evaluation of prelicensure health professional student self-reported learning in an interfaculty pain curriculum”: a view on pain education. PAIN Rep 2022;7:e1031. Abstract Introduction: Student perspectives on interprofessional pain education are lacking. Objectives: The purpose of this study was to evaluate ratings of knowledge acquisition and effective presentation methods for prelicensure health professional students attending the University of Toronto Centre for the Study of Pain Interfaculty Pain Curriculum (Canada). Methods: A 10-year (2009–2019) retrospective longitudinal mixed-methods approach comprising analysis and integration of quantitative and qualitative data sets was used to evaluate 5 core University of Toronto Centre for the Study of Pain Interfaculty Pain Curriculum learning sessions. Results: A total of 10, 693 students were enrolled (2009–2019) with a mean annual attendance of 972 students (±SD:102). The mean proportion of students rating “agree/strongly agree” for knowledge acquisition and effective presentation methods across sessions was 79.3% (±SD:3.4) and 76.7% (±SD:6.0), respectively. Knowledge acquisition or presentation effectiveness scores increased, respectively, over time for 4 core sessions: online self-study pain mechanisms module (P = 0.03/P < 0.001), online self-study opioids module (P = 0.04/P = 0.019), individually selected in-person topical pain sessions (P = 0.03/P < 0.001), and in-person patient or interprofessional panel session (P = 0.03). Qualitative data corroborated rating scores and expanded insight into student expectations for knowledge acquisition to inform real-world clinical practice and interprofessional collaboration; presentation effectiveness corresponded with smaller session size, individually selected sessions, case-based scenarios, embedded knowledge appraisal, and opportunities to meaningfully interact with presenters and peers. Conclusion: This study demonstrated positive and increasing prelicensure student ratings of knowledge acquisition and effective presentation methods across multifaceted learning sessions in an interfaculty pain curriculum. This study has implications for pain curriculum design aimed at promoting students' collaborative, patient-centered working skills.
Improvement in Care and Maintenance of Port-A-Cath Following the Introduction of Care” Bundle

Background: Port-a-cath is a type of indwelling central venous catheter used to manage pediatric patients who require long-term intravenous therapy. Objectives: The objective of this study was to improve the care and maintenance of port-a-cath among the nursing staff by introducing a care bundle. Materials and Methods: Pretraining and posttraining designs using PDSA (Plan, Do, Study, Act.) model were followed. We observed two sets of 30 procedures for accessing of port-a-cath by the nursing staff. Following the initial 30 observations of port-a-cath handling, a “care bundle” was designed as per the set standards of the maintenance of port-a-cath. It involved education and training and live audio-visual sessions. Two months after the initiation of the care bundle, the second set of 30 procedures was observed. Results: Following the introduction of the care bundle, the observed efficacy on obtaining verbal consent improved to 100% from 83%, arrangement of drugs and instruments before insertion to 100% from 90%, not touching the needle while inserting from 60%, administration of adequate amount saline flush from 83.3% (25/30), heparin administration from 71.1%, and looking out for signs of extravasation to 100% from 80%. Two nursing staff involvement improved from 23% to 63%. A 100% efficacy in the management of nonbleeding back scenarios was observed. The cross-checking of drug expiry improved from an initial 26.6% to 89.3%. The port-a-cath infections have significantly come down (3 vs. 0) (P < 0.05). Conclusion: Implementation of a “care bundle” has significantly improved the quality of handling of port-a-cath and reduction in infections.
Cognition in Trinucleotide Repeat Spinocerebellar Ataxias: A Review

Spinocerebellar ataxias (SCAs) comprise a group of complex and heterogeneous hereditary neurodegenerative disorders characterized by cerebellar ataxia, with ophthalmoplegia, pyramidal and extrapyramidal features, peripheral neuropathy, motor neuron disease, pigmentary retinopathy, epilepsy, and dementia in varying proportions. Cognitive impairment is not frequent in SCAs but is rarely noticed since it gets camouflaged behind the exorbitant ataxic manifestations of the disease. The exact incidence and extent of cognitive impairment in these rare disorders are not known due to the heterogeneity between different SCA types and different modalities of testing employed in different studies. Through our review, we have summarized the cognitive aspects of SCA and can safely conclude that cognitive dysfunction is common in some SCA types when compared to others. Not only is it important to appreciate its presence as a symptom complex in SCA but also is the need to actively search and treat it to improve the patients' quality of life.
Efficacy of decitabine combined with allogeneic hematopoietic stem cell transplantation in the treatment of recurrent and refractory acute myeloid leukemia (AML): A systematic review and meta-analysis

Background: This analysis aimed to assess the effect of decitabine combined with allogeneic hematopoietic stem cell transplantation (allo-HSCT) in treating recurrent and refractory acute myeloid leukemia. Method: The present analysis was carried out according to the principles of Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline statement. Web of Science, Embase, PubMed, The Cochrane Library, CNKI, VIP, and WanFang Data databases were searched for trials published from their corresponding inception to September 13, 2021. Retrospective research or published randomized controlled trials in Chinese or English were ruled out. The methodological quality of the included studies was assessed using the Physiotherapy Evidence Database scale. Mean differences with 95% confidence intervals were used to analyze continuous data. The I 2 test was used to determine heterogeneity, and the meta-analysis was conducted using Revman 5.4. Results: Eight studies including 795 participants in total were identified. Decitabine and allo-HSCT showed significant reductions in recurrence after transplantation (odds ratio [OR] = 0.29, 95% confidence interval [CI] (0.17, 0.50), P < . 00001), leukemia-free survival (OR = 2.17, 95% CI (1.47, 3.21), P < . 0001), graft related death (OR = 0.50, 95% CI (0.25, 0.98), P = . 04), and significant improvements in complete remission (OR = 0.39, 95% CI = 0.23–0.68, P = .0007) and partial remission (OR = 0.46, 95%CI = 0.27–0.78, P = .004). The median follow-up time, acute graft-versus-host disease, and no remission had no significant difference between treatment and control groups (the median follow-up time: OR = −1.76, 95% CI (−6.28, 2.76), P = . 45; acute graft-versus-host disease: OR = 0.72, 95% CI (0.50, 1.03), P = . 08; no remission: OR = 3.19, 95%CI = 2.06–4.94, P = . 05). Overall, the magnitude of the effect was found to be in the small to moderate range. Conclusion: Decitabine combined with allo-HSCT can obtain lower recurrence risk and longer disease-free survival time, and improve the prognosis of patients. The safety is relatively stable. Due to the varying quality level of the included studies, the validation of multiple high-quality studies still needs improvement.
Multivariate calibration maintenance and transfer through robust fused LASSO

This article studies calibration maintenance and transfer to build a statistical model that is able to predict analyte concentrations by a set of spectra. Noticing that the wavelength atoms are naturally ordered in a meaningful way, we propose a novel robust fused LASSO (RFL) based on high‐dimensional sparsity techniques and a recent Θ‐IPOD technique for robustification. This new approach can attain simultaneous wavelength selection and grouping as well as outlier identification, without any human intervention. An efficient and scalable algorithm is developed on the basis of the alternating direction method of multipliers. The obtained RFL model is sparse and shows improved prediction performance over the LASSO and ridge regression. Our results reveal that wavelengths can be combined into blocks, in a smart manner, to enhance the interpretability and reliability for super‐resolution spectral analysis. Copyright © 2013 John Wiley & Sons, Ltd.
Effects of acupoint herbal patching as an add-on to asthma medication during Sanfu days, as the hottest days in summer, on the acute attack, the immunological response, and the pulmonary function in asthmatic children: A meta-analysis

Background: A meta-analysis was performed to evaluate the effect of acupoint herbal patching as an add-on to asthma medication during Sanfu days, as the hottest days in summer, on the acute attack, immunological response, and the pulmonary function in asthmatic children. Methods: A systematic literature search up to July 2021 was performed and 13 studies included 1166 asthmatic children at the start of the study; 587 of them were using acupoint herbal patching as an add-on to asthma medication during Sanfu days and 579 were given asthma medication only. Results: Acupoint herbal patching as add-on to asthma medication had significantly lower frequency of acute attack (mean difference [MD], –1.57; 95% confidence interval [CI], –2.28 to –0.85, P < .001), lower asthma relapse (odds ratio, 0.13; 95% CI, 0.04–0.43, P < .001), and higher forced expiratory volume in 1 second (MD, 1.72; 95% CI, 0.89–2.65, P < .001), higher peak expiratory flow rate (MD, 1.15; 95% CI, 0.37–1.93, P = .004), lower immunoglobulin E after treatment (MD, –123.81; 95% CI, –185.60 to –62.02, P < .001), and higher interferon-gamma after treatment (MD, 7.17; 95% CI, 2.42–11.92, P = .003) compared to asthma medication only in asthmatic children. Conclusions: Acupoint herbal patching as an add-on to asthma medication during Sanfu days had a significantly lower frequency of acute attack, lower asthma relapse, higher forced expiratory volume in 1 second, higher peak expiratory flow rate, and higher interferon-gamma after treatment in asthmatic children compared to asthma medication only in asthmatic children.
Bioactive Knee Sleeve for Osteoarthritis: A Small Cohort Study

Osteoarthritis is one of the most prevalent musculoskeletal ailments worldwide and is initially managed with a variety of conservative treatment modalities. Recently, bioactive knee sleeves have emerged and are gaining traction as a new therapeutic option for osteoarthritis. This article describes a prospective cohort using a bioactive knee sleeve for a 3-month duration. During this period, patient pain and function were evaluated with multiple validated patient-reported outcome measures. Objectives Osteoarthritis (OA) is one of the most prevalent musculoskeletal ailments worldwide. Numerous conservative therapies exist, but evidence for such treatments remains conflicting. Recently, there has been growing interest surrounding bioactive sleeves for managing knee arthritis; however, the literature on their efficacy for relieving pain and improving function in the setting of knee OA is limited. As such, we sought to investigate the effect of a bioactive sleeve on patient-reported outcome measures in a small cohort of patients with OA. Methods Patients with knee OA were given a bioactive sleeve (Reparel, Chico, CA) and asked to refrain from lifestyle modifications and intraarticular corticosteroid injections. Lysholm Knee Score, Oxford Knee Score, Knee Injury and OA Outcome Score (KOOS), Single Assessment Numeric Evaluation, and Visual Analog Scale score were obtained at baseline, 2 weeks, 6 weeks, and 3 months. OA severity was evaluated using the Kellgren and Lawrence (KL) classification system. The Wilcoxon signed rank test was used to compare baseline patient-reported outcomes with 2-week, 6-week, and 3-month time points. Bivariate correlation was used to evaluate the relation between patient-reported outcome measures and KL classification. Results The cohort was composed of 14 participants—4 males and 10 females—with a mean age of 62.2 ± 13.2 years and a body mass index of 33.7 ± 5.8. The average KL grade was 2.9 (range 2–4). KOOS pain, symptoms, activities of daily living, and quality of life increased significantly at 2 weeks, 6 weeks, and 3 months. KOOS sport and recreation significantly increased at 3 months. The Oxford Knee Score was significantly greater at 2 weeks, 6 weeks, and 3 months. The Lysholm Knee Score was significantly greater at 6 weeks and 3 months. The Single Assessment Numeric Evaluation attained significant improvement at 3 months, and the Visual Analog Scale improvement was significant at 2 weeks. No statistically significant difference was attained with University of California at Los Angeles activity score. Outcome scores did not correlate with KL classification. Conclusions These data suggest that a bioactive sleeve may improve patient-reported pain, symptoms, and function in the setting of knee OA. Further research is needed to better understand the role of bioactive sleeves for patients with knee arthritis.
Adaptation of the Sport Motivation Scale in Flemish-speaking athletes with and without intellectual disabilities

: Motivation is essential for adopting and maintaining active lifestyles. This study aims to adapt an instrument that comprehensively screens the degree and type of motivation in Flemish speaking athletes with intellectual disabilities (ID). A translated (SMS-FL), a modified (SMS-FL-ID), and a condensed (SMS-FL-ID-short) version of the Sport Motivation Scale (SMS) (Pelletier et al., 1995) were created. The 7-factor structure of each scale was examined by an exploratory factor analysis in a sample of athletes without ID (n = 230) and athletes with ID (n = 96). The results confirmed preliminary acceptance of the SMS-FL development. However, two psychometric issues were found in the subscales ‘instrinsic motivation to accomplish’ and ‘identified regulation’ extrinsic motivation. These psychometric issues were addressed in future revisions to strengthen the scale. The SMS-FL-ID was developed to the specific characteristics of people with ID. Furthermore, it appears the SMS-FL-ID instrument is too long for this population. However, a 12-item SMS-FL-ID-short version proved preliminary acceptable psychometric properties. The short version is recommended for future use in Flemish athletes with ID. Overall, this study serves as a basis for further research to strengthen the scale in order to assess motivational profiles in individuals with ID.
Quantum Physics and Linguistics - A Compositional, Diagrammatic Discourse

1. An alternative Gospel of structure: order, composition, processes 2. Some graphical aspects of Frobenius algebras 3. A graphical approach to measurement-based quantum com- puting 4. Quantum groups and braided algebra 5. Hopf algebrasDLVariant notions and reconstruction theorems 6. Modular Categories 7. Scalars, Monads, and Categories 8. Types and forgetfulness in categorical linguistics and quantum mechanics 9. From Sentence to Concept: Predicate Logic and Quantum Logic in Compact Closed Categories 10. Proof nets for the Lambek-Grishin calculus 11. Algebras over a field and semantics for context based reasoning 12. Distributional Semantic Models 13. Type-Driven Syntax and Semantics for Composing Mean- ing Vectors
Environment-wide and epigenome-wide association study of adiposity in “Children of 1997” birth cohort

Background Increasing childhood adiposity is a global issue requiring potentially local solutions to ensure it does not continue into adulthood. We systematically identified potentially modifiable targets of adiposity at the onset and end of puberty in Hong Kong the most economically developed major Chinese city. Methods We conducted an environment-wide association study (EWAS) and an epigenome-wide association study of adiposity to systematically assess associations with body mass index (BMI) and waist-hip ratio (WHR) in Hong Kong’s population-representative “Children of 1997” birth cohort. Univariable linear regression was used to select exposures related to adiposity at ~11.5 years (BMI n≤7,119, WHR n=5,691) and ~17.6 years (n = 3,618) at Bonferroni-corrected significance, and multivariable linear regression to adjust for potential confounders followed by replication (n=308) and CpG by CpG analysis (n=286) at ~23 years. Findings were compared with evidence from randomized controlled trials (RCTs) and Mendelian randomization (MR) studies. Results At ~11.5 and ~17.6 years the EWAS identified 14 and 37 exposures associated with BMI, as well as seven and 12 associated with WHR respectively. Most exposures had directionally consistent associations at ~23 years. Maternal second-hand smoking, maternal weight, and birth weight were consistently associated with adiposity. Diet (including dairy intake and artificially sweetened beverages), physical activity, snoring, binge eating, and earlier puberty were positively associated with BMI at ~17.6 years, while eating before sleep was inversely associated with BMI at ~17.6 years. Findings for birth weight, dairy intake, binge eating, and possibly earlier puberty are consistent with available evidence from RCTs or MR studies We found 21 CpGs related to BMI and 18 to WHR. Conclusions These novel insights into potentially modifiable factors associated with adiposity at the outset and the end of puberty could, if causal, inform future interventions to improve population health in Hong Kong and similar Chinese settings. Funding This study was supported by the Health and Medical Research Fund Research Fellowship, Food and Health Bureau, Hong Kong SAR Government (#04180097). The DNA extraction was supported by CFS-HKU1.
Semi-supervised multiscale dual-encoding method for faulty traffic data detection

Inspired by the recent success of deep learning in multiscale information encoding, we introduce a variational autoencoder (VAE) based semi-supervised method for detection of faulty traffic data, which is cast as a classification problem. Continuous wavelet transform (CWT) is applied to the time series of traffic volume data to obtain rich features embodied in time-frequency representation, followed by a twin of VAE models to separately encode normal data and faulty data. The resulting multiscale dual encodings are concatenated and fed to an attention-based classifier, consisting of a self-attention module and a multilayer perceptron. For comparison, the proposed architecture is evaluated against five different encoding schemes, including (1) VAE with only normal data encoding, (2) VAE with only faulty data encoding, (3) VAE with both normal and faulty data encodings, but without attention module in the classifier, (4) siamese encoding, and (5) cross-vision transformer (CViT) encoding. The first four encoding schemes adopted the same convolutional neural network (CNN) architecture while the fifth encoding scheme follows the transformer architecture of CViT. Our experiments show that the proposed architecture with the dual encoding scheme, coupled with attention module, outperforms other encoding schemes and results in classification accuracy of 96.4%, precision of 95.5%, and recall of 97.7%.
Transformer versus LSTM Language Models trained on Uncertain ASR Hypotheses in Limited Data Scenarios

In several ASR use cases, training and adaptation of domain-specific LMs can only rely on a small amount of manually verified text transcriptions and sometimes a limited amount of in-domain speech. Training of LSTM LMs in such limited data scenarios can benefit from alternate uncertain ASR hypotheses, as observed in our recent work. In this paper, we propose a method to train Transformer LMs on ASR confusion networks. We evaluate whether these self-attention based LMs are better at exploiting alternate ASR hypotheses as compared to LSTM LMs. Evaluation results show that Transformer LMs achieve 3-6% relative reduction in perplexity on the AMI scenario meetings but perform similar to LSTM LMs on the smaller Verbmobil conversational corpus. Evaluation on ASR N-best rescoring shows that LSTM and Transformer LMs trained on ASR confusion networks do not bring significant WER reductions. However, a qualitative analysis reveals that they are better at predicting less frequent words.
Surge detection of magnetic suspension fluid machinery based on rotor axial displacement signal and normalized second-order generalized integrator-frequency locked loop with prefilter

A surge detection method according to rotor axial displacement signal and normalized second-order generalized integrator-frequency locked loop with prefilter (SOGI-FLL-WPF) is proposed to solve the surge detection problem of magnetic suspension fluid machinery, which has important practical significance. To improve the anti-disturbance performance of surge detection, SOGI is introduced as a prefilter. As a prefilter, SOGI can eliminate the interference in the surge signal, and normalized SOGI-FLL can estimate the amplitude and frequency of the surge signal. Normalized SOGI-FLL and prefilter are combined to form normalized SOGI-FLL-WPF. First, the disturbance transfer model between rotor axial displacement signal and pressure signal is deduced. Then, the surge is detected by normalized SOGI-FLL-WPF. This method has the merit of fast response, small computation, and good disturbance resistance without additional detection units. Finally, the test is implemented on 105 kW and 150 kW magnetic suspension blowers. The results demonstrate that the proposed method can quickly detect surge signal after the surge occurs.