Miracle-dz/UniFAR-FTUs huggingface dataset:
Ultrasound as a diagnostic tool in the investigation of patients with carpal tunnel syndrome

Carpal tunnel syndrome (CTS) is reveled to be the most common peripheral nerve entrapment syndrome, estimating for 90% of all compressive. The diagnosis of CTS is based on the use of clinical criteria and imaging technique tests such as ultrasonography (US) and magnetic resonance imaging (MRI). US is a time-saving method in the diagnosis of CTS, which induces less discomfort to the patient and may be a more cost-effective approach to confirm clinical suspicion of this syndrome . The current study was aimed to evaluate the value of US and physical examinations in the diagnosis of CTS. This cross-sectional and cross-sectional prospective case study was conducted to evaluate the usefulness of wrist ultrasonography in diagnosing CTS. Twenty one patients (21 wrists) were invited to participate in the study along with an age- and sex-matched group of participant controls. Physical examination included Phalen, Tinel, Durkan, Tourniquet test. Anteroposterior and mediolateral dimension of carpal tunnel, and the median nerve area at the tunnel were also measured. All the patients underwent the open surgical release of the flexor retinaculum. There was a significant statistical relationship (p=0.05) between anteroposterior diameter of the carpal tunnel and clinical and electro physiologic nerve involvement. Furthermore, some qualitative findings was achieved such as median nerve splitting, hypo echogenicity of the involved nerve, thickening of flexor retinaculum and disappearance of median nerve areas (especially mediolateral direction). In conclusion, ultrasonographic examination of the wrists in the patients with suspected clinical symptoms can improve the diagnostic ability of CTS, especially by improving technology and experience. US can be applied for the median nerve area (MNA) measurement as a first line technique in patients with CTS.
Vibrotactile information improves proprioceptive reaching target localization

When pointing to parts of our own body (e.g., the opposite index finger), the position of the target is derived from proprioceptive signals. Consistent with the principles of multisensory integration, it has been found that participants better matched the position of their index finger when they also had visual cues about its location. Unlike vision, touch may not provide additional information about finger position in space, since fingertip tactile information theoretically remains the same irrespective of the postural configuration of the upper limb. However, since tactile and proprioceptive information are ultimately coded within the same population of posterior parietal neurons within high-level spatial representations, we nevertheless hypothesized that additional tactile information could benefit the processing of proprioceptive signals. To investigate the influence of tactile information on proprioceptive localization, we asked 19 participants to reach with the right hand towards the opposite unseen index finger (proprioceptive target). Vibrotactile stimuli were applied to the target index finger prior to movement execution. We found that participants made smaller errors and more consistent reaches following tactile stimulation. These results demonstrate that transient touch provided at the proprioceptive target improves subsequent reaching precision and accuracy. Such improvement was not observed when tactile stimulation was delivered to a distinct body part (the shoulder). This suggests a specific spatial integration of touch and proprioception at the level of high-level cortical body representations, resulting in touch improving position sense.
Correlates of Falls among Community-Dwelling Elderly in Thailand

Nearly every nation is experiencing rapid population aging. One area of major concern is health; a major health risk for older adults is falling, and there are multiple negative consequences of falling. This is a global concern yet is underresearched in many nations. This study examines demographic, health, and environmental correlates of falling among community-dwelling Thai elderly. Data were collected from a sample of 406 adults aged 60–69. Significant (p < 0.05) fall correlates were urban residence, older age, greater BMI, impaired and uncorrected vision, chronic health conditions, medication use and medication side effects, poor muscle tone, and hazardous indoor and outdoor home environments. Results lead to recommendations for interventions to reduce fall risk that are both evidence-based and culturally acceptable.
Individual, Family, and Community Predictors of Cyber-aggression among Adolescents

The objective of this article is to the predictive capacity of some individual, family, and community variables concerning the likelihood that a teenager will engage in aggressive behavior toward others using a mobile phone or the Internet, occasionally or intensely, controlling for the effect of potential confounding variables. To that end, the Cyber-Aggression Questionnaire for Adolescents (CYBA) as well as previously validated scales for the evaluation of the potential indicators d were applied to 3,059 adolescents 12 to 18 years of age (M = 14.01, SD = 1.39). The aforementioned scales sociodemographic variables (age and sex) and variables referring to the use of the Internet (social networks, instant messaging programs, and the Internet for non-school tasks), parental control (behavioral control, rules for the use of the Internet, Internet use monitoring, and affection and communication), personality (impulsivity and empathy), antisocial behavior (frequency of aggression toward others at school, antisocial behavior outside the school, and antisocial friendships), and frequency of cyber-victimization. Multivariate regression analyses highlight the predictive capacity of impulsivity, aggression at school, and cyber-victimization as risk factors of cyber-aggression. They also suggest the existence of indirect or even spurious relationships between some of the variables d and cyber-aggression. We discuss the practical implications of these results.
miR-205-5p inhibits cell migration and invasion in prostatic carcinoma by targeting ZEB1

Many studies have demonstrated that miRNAs have influence on tumorigenesis and progression of human cancers, including invasion and migration. Thus, the role of miR-205/ZEB1 axis for the migration and invasion of prostate cancer cells was explored in the present study. The miR-205-5p and zinc finger E-box binding homeobox 1 (ZEB1) mRNA expression levels were observed in prostate cancer tissues or cell lines via reverse transcription-quantitative PCR (RT-qPCR), and the protein level of ZEB1 was measured by western blotting. Dual-Luciferase Reporter Assay was used to verify the relationship between miR-205-5p and ZEB1. In addition, cell migration and invasion was measured by Transwell assay. The results revealed that, compared with the control, downregulation of miR-205-5p was detected in prostate cancer tissues and cell lines, and miR-205-5p overexpression was found to inhibit cell migration and invasion. Moreover, miR-205-5p was confirmed to directly target ZEB1 in prostate cancer. Importantly, ZEB1 was identified to weaken the inhibitory effect of miR-205-5p in prostate cancer. In conclusion, miR-205-5p inhibited cell migration and invasion in prostatic carcinoma by targeting ZEB1 and miR-205-5p/ZEB1 axis shows potential to be developed in therapeutic strategies for prostate cancer.
Identification of common differentially-expressed miRNAs in ovarian cancer cells and their exosomes compared with normal ovarian surface epithelial cell cells

The aim of the present study was to identify common microRNAs (miRNAs) in ovarian cancer (OC) cells and their exosomes using microarray data (accession number GSE76449) available from the Gene Expression Omnibus database, including exosomal samples from 3 OC cell lines, 1 normal ovarian surface epithelial cell line and their original cell samples. Differentially-expressed miRNAs (DE-miRNAs) were identified using the Linear Models for Microarray data method, and mRNA targets of DE-miRNAs were predicted using the miRWalk2 database. The potential functions of the target genes of the DE-miRNAs were analyzed using the Database for Annotation, Visualization and Integrated Discovery tool. The association between crucial miRNAs and target genes, and their clinical associations, were validated using The Cancer Genome Atlas data. As a result, 12 upregulated and 12 downregulated DE-miRNAs were shared by the 3 OC cell lines compared with normal controls in the exosomal samples, while 5 upregulated and 65 downregulated DE-miRNAs were shared between the original cells. Among them, 9 downregulated DE-miRNAs were shared between exosomal and original cells. The target genes of 4 common DE-miRNAs between exosomal and original cells (miR-127-3p, miR-339-5p, miR-409-3p and miR-654-3p) were predicted. Functional enrichment analysis indicated that these target genes may be involved in the Wnt signaling pathway (miR-409-3p-CTBP1 and miR-339-5p-CHD8) and Proteoglycans in cancer (miR-127-3p-PPP1CA). The negative associations between these 3 miRNAs and target genes were confirmed by a Pearson's correlation analysis. miR-127 was negatively associated with tumor grade. In conclusion, our results describe a set of miRNAs involved in OC development, in exosomal and non-exosomal manners, by regulating their target genes. They may be potential targets for treatment of OC.
Histone deacetylase inhibitors induce the expression of tumor suppressor genes Per 1 and Per 2 in human gastric cancer cells

Period circadian regulator (Per)1 and Per2 genes are involved in the molecular mechanism of the circadian clock, and exhibit tumor suppressor properties. Several studies have reported a decreased expression of Per1, Per2 and Per3 genes in different types of cancer and cancer cell lines. Promoter methylation downregulates Per1, Per2 or Per3 expression in myeloid leukemia, breast, lung, and other cancer cells; whereas histone deacetylase inhibitors (HDACi) upregulate Per1 or Per3 expression in certain cancer cell lines. However, the transcriptional regulation of Per1 and Per2 in cancer cells by chromatin modifications is not fully understood. The present study aimed to determine whether HDACi regulate Per1 and Per2 expression in gastric cancer cell lines, and to investigate changes in chromatin modifications in response to HDACi. Treatment of KATO III and NCI-N87 human gastric cancer cells with sodium butyrate (NaB) or Trichostatin A (TSA) induced Per1 and Per2 mRNA expression in a dose-dependent manner. Chromatin immunoprecipitaion assays revealed that NaB and TSA decreased lysine 9 trimethylation on histone H3 (H3K9me3) at the Per1 promoter. TSA, but not NaB increased H3K9 acetylation at the Per2 promoter. It was also observed that binding of Sp1 and Sp3 to the Per1 promoter decreased following NaB treatment, whereas Sp1 binding increased at the Per2 promoter of NaBand TSA-treated cells. In addition, Per1 promoter is not methylated in KATO III cells, while Per2 promoter was methylated, although NaB, TSA, and 5-Azacytidine do not change the methylated CpGs analyzed. In conclusion, HDACi induce Per1 and Per2 expression, in part, through mechanisms involving chromatin remodeling at the proximal promoter of these genes; however, other indirect mechanisms triggered by these HDACi cannot be ruled out. These findings reveal a previously unappreciated regulatory pathway between silencing of Per1 gene by H3K9me3 and upregulation of Per2 by HDACi in cancer cells.
MicroRNA-155-5p suppresses the migration and invasion of lung adenocarcinoma A549 cells by targeting Smad2

Lung cancer is one of the major causes of cancer-related deaths worldwide. Notably, miR-155-5p is one of the most amplified miRNAs in non-small cell lung carcinoma (NSCLC). However, the role of miR-155-5p in lung cancer metastasis has not been fully evaluated. In the present study, miR-155-5p mimic and inhibitor were used to investigate the effects of miR-155-5p on the metastasis of human lung carcinoma A549 cells. The study indicated that transfection of miR-155-5p mimic significantly suppressed cell proliferation, migration and invasion of A549 cells, whereas its inhibition significantly promoted cell proliferation, migration and invasion of A549 cells, suggesting a potential therapeutic application of miR-155-5p in controlling lung cancer metastasis. Moreover, transfection of miR-155-5p mimic suppressed the expression of Smad2/3, ZEB1, ZEB2 and N-cadherin and induced that of E-cadherin, whereas its inhibition significantly upregulated the expression of Smad2/3, ZEB1, ZEB2 and N-cadherin and downregulated that of E-cadherin. Collectively, the findings suggest that miR-155-5p suppresses the proliferation, migration and invasion of A549 cells. Therefore, loss of miR-155-5p may serve an essential role in tumorigenesis and tumour progression in lung cancers.
Fluency Boost Learning and Inference for Neural Grammatical Error Correction

Most of the neural sequence-to-sequence (seq2seq) models for grammatical error correction (GEC) have two limitations: (1) a seq2seq model may not be well generalized with only limited error-corrected data; (2) a seq2seq model may fail to completely correct a sentence with multiple errors through normal seq2seq inference. We attempt to address these limitations by proposing a fluency boost learning and inference mechanism. Fluency boosting learning generates fluency-boost sentence pairs during training, enabling the error correction model to learn how to improve a sentence’s fluency from more instances, while fluency boosting inference allows the model to correct a sentence incrementally with multiple inference steps until the sentence’s fluency stops increasing. Experiments show our approaches improve the performance of seq2seq models for GEC, achieving state-of-the-art results on both CoNLL-2014 and JFLEG benchmark datasets.
RNA binding protein HuR promotes osteosarcoma cell progression via suppressing the miR-142-3p/HMGA1 axis

The present study aimed to study the roles and underlying mechanisms of human antigen R (HuR) in osteosarcoma (OS) cell progression. It was determined that the HuR mRNA and protein levels were significantly upregulated in OS tissues, compared with that in normal adjacent tissues. HuR expression was negatively associated with miR-142-3p expression, but positively with High Mobility Group AT-Hook 1 (HMGA1). Additionally, knockdown of HuR inhibited OS cells viability, epithelial-mesenchymal transition and promoted cell apoptosis. HuR was determined to harbor binding sites on HMGA1, directly binding to HMGA1, increasing HMGA1 mRNA stability and expression. Notably, the promotion of HuR on HMGA1 expression was attenuated via miR-142-3p overexpression, and miR-142-3p could directly bind to HMGA1 3′untranslated region (UTR). Furthermore, HMGA1 3′UTR with a mutated miR-142-3p binding site did not respond to HuR alterations. Finally, the inhibition of HuR knockdown was attenuated or even reversed via HMGA1 overexpression; therefore, the results of the present study indicated that RNA binding protein HuR may facilitate OS cell progression via competitively binding to HMGA1 with miR-142-3p.
miR-204 functions as a tumor suppressor gene, at least partly by suppressing CYP27A1 in glioblastoma

Gliomas are the most common type of malignant primary brain tumors in adults and exhibit a spectrum of aberrantly aggressive phenotypes. Despite advances in treatments during past decades, prognosis of the disease remains poor, with a median survival time of 12–14 months. Future studies on the molecular mechanism of the disease may provide the theoretical basis to identify new targets for effective therapies. The present study revealed that in glioblastoma cells, the overexpression of cytochrome P450, family 27, subfamily A, polypeptide 1 (CYP27A1) promoted proliferation, while silencing of CYP27A1 inhibited proliferation, without affecting migration and invasion. CYP27A1 protein was upregulated in glioblastoma tissues, indicating that CYP27A1 is an oncogene. The downregulation of specific microRNAs (miRNA) may contribute to the upregulation of oncogenes in glioblastoma. A common strategy was used to predict target miRNAs of CPY27A1 using the miRanda algorithm. miR-211 and miR-204 could target the 3′untranslated region of CPY27A1 mRNA. Additional studies confirmed that the overexpression of miR-204 inhibited CPY27A1 expression in glioblastoma cells. Finally, it was identified that miR-204 was downregulated in glioblastoma and that its overexpression inhibited proliferation, migration and invasion in glioblastoma cells. Thus, it was concluded that miR-204 functions as a tumor suppressor gene, at least partly by suppressing CYP27A1 in glioblastoma.
When Leadership Powers Team Learning: A Meta-Analysis

Team learning behavior is found to be one of the most effective team processes, as learning behavior at the team level (e.g., sharing, discussing, and reflecting on knowledge and actions) enables teams to adapt existing or develop new knowledge. Team leadership behavior is considered a critical accelerant for creating conditions that are essential to engage in team learning behavior, such as a safe environment. Yet despite the growing amount of research in team learning, this relationship remains unclear. Meta-analytic techniques were used to examine when team leadership behaviors support team learning behavior and how the task type moderates that relationship. Forty-three empirical studies reporting 92 effect sizes were synthesized. Analyses show that team leadership behavior explains 18% of the variance in team learning behavior. Furthermore, results indicate that person-focused leaders foster team learning for both adaptive and developmental tasks, whereas task-focused leaders influence team learning for adaptive tasks only.
CrowdEstimator: Approximating Crowd Sizes with Multi-modal Data for Internet-of-Things Services

Crowd mobility has been paid attention for the Internet-of-things (IoT) applications. This paper addresses the crowd estimation problem and builds an IoT service to share the crowd estimation results across different systems. The crowd estimation problem is to approximate the crowd size in a targeted area using the observed information (e.g., Wi-Fi data). This paper exploits Wi-Fi probe request packets ("Wi-Fi probes" for short) broadcasted by mobile devices to solve this problem. However, using only Wi-Fi probes to estimate the crowd size may result in inaccurate results due to various environmental uncertainties which may lead to crowd overestimation or underestimation. Moreover, the ground-truth is unavailable because the coverage of Wi-Fi signals is time-varying and invisible. This paper introduces auxiliary sensors, stereoscopic cameras, to collect the near ground-truth at a specified calibration choke point. Two calibration algorithms are proposed to solve the crowd estimation problem. The key idea is to calibrate the Wi-Fi-only crowd estimation based on the correlations between the two types of data modalities. Then, to share the calibrated results across systems required by different stakeholders, our system is integrated with the FIWARE-based IoT platform. To verify the proposed system, we have launched an indoor pilot study in the Wellington Railway Station and an outdoor pilot study in the Christchurch Re:START Mall in New Zealand. The large-scale pilot studies show that stereoscopic cameras can reach minimum accuracy of 85% and high precision detection for providing the near ground-truth. The proposed calibration algorithms reduce estimation errors by 43.68% on average compared to the Wi-Fi-only approach.
Personalized Spatial Support for People with Autism Spectrum Disorder

This paper presents a novel personalized service to support people with Autism Spectrum Disorder (ASD) in their daily movements within urban environments. It aims at helping them in managing anxiety and stress originated by routine breakdowns and unfamiliar situations, improving their autonomy. In particular, we provide an interactive map that is i) personalized, i.e., able to recommend "Safe" Point-of-Interests (SPOIs) according to users' preferences for and aversions to places' sensory features; ii) crowdsourced, i.e., populated with comments and reviews by people with ASD and their caregivers; iii) assistive, i.e., able to support everyday movements (home-work, home-relatives, etc.) by presenting "safe" paths to reach desired places. In this paper we will focus on the first aspect of the map, i.e. SPOIs recommendations. The presented approach is part of a wider project, PIUMA, Personalized Interactive Urban Maps for Autism, which has the aim to develop novel digital solutions for helping people with cognitive problems in their everyday movements.
Therapeutic Effect of a Novel Phosphatidylinositol-3-Kinase δ Inhibitor in Experimental Epidermolysis Bullosa Acquisita

Epidermolysis bullosa acquisita (EBA) is a rare, but prototypical, organ-specific autoimmune disease, characterized and caused by autoantibodies against type VII collagen (COL7). Mucocutaneous inflammation, blistering, and scarring are the clinical hallmarks of the disease. Treatment of EBA is difficult and mainly relies on general immunosuppression. Hence, novel treatment options are urgently needed. The phosphatidylinositol-3-kinase (PI3K) pathway is a putative target for the treatment of inflammatory diseases, including EBA. We recently discovered LAS191954, an orally available, selective PI3Kδ inhibitor. PI3Kδ has been shown to be involved in B cell and neutrophil cellular functions. Both cell types critically contribute to EBA pathogenesis, rendering LAS191954 a potential drug candidate for EBA treatment. We, here, demonstrate that LAS191954, when administered chronically, dose-dependently improved the clinical phenotype of mice harboring widespread skin lesions secondary to immunization-induced EBA. Direct comparison with high-dose corticosteroid treatment indicated superiority of LAS191954. Interestingly, levels of circulating autoantibodies were unaltered in all groups, indicating a mode of action independent of the inhibition of B cell function. In line with this, LAS191954 also hindered disease progression in antibody transfer-induced EBA, where disease develops dependent on myeloid, but independent of B cells. We further show that, in vitro, LAS191954 dose-dependently impaired activation of human myeloid cells by relevant disease stimuli. Specifically, immune complex-mediated and C5a-mediated ROS release were inhibited in a PI3Kδ-dependent manner. Accordingly, LAS191954 also modulated the dermal–epidermal separation induced in vitro by co-incubation of immune complexes with polymorph nuclear cells, thus pointing to an important role of PI3Kδ in EBA effector functions. Altogether, these results suggest a new potential mechanism for the treatment of EBA and potentially also other autoimmune bullous diseases.
Competitive Analysis System for Theatrical Movie Releases Based on Movie Trailer Deep Video Representation

Audience discovery is an important activity at major movie studios. Deep models that use convolutional networks to extract frame-by-frame features of a movie trailer and represent it in a form that is suitable for prediction are now possible thanks to the availability of pre-built feature extractors trained on large image datasets. Using these pre-built feature extractors, we are able to process hundreds of publicly available movie trailers, extract frame-by-frame low level features (e.g., a face, an object, etc) and create video-level representations. We use the video-level representations to train a hybrid Collaborative Filtering model that combines video features with historical movie attendance records. The trained model not only makes accurate attendance and audience prediction for existing movies, but also successfully profiles new movies six to eight months prior to their release.