Miracle-dz/UniFAR-FTUs huggingface dataset:
Active Usage of Mobile Health Applications: Cross-sectional Study

Background Mobile health applications are being increasingly used for people’s health management. The different uses of mobile health applications lead to different health outcomes. Although active usage of mobile health applications is shown to be linked to the effectiveness of mobile health services, the factors that influence people’s active usage of mobile health applications are not well studied. Objective This paper aims to examine the antecedents of active usage of mobile health applications. Methods Grounded on the 3-factor theory, we proposed 10 attributes of mobile health applications that influence the active usage of mobile health applications through consumers’ satisfaction and dissatisfaction. We classified these 10 attributes into 3 categories (ie, excitement attributes, performance attributes, and basic attributes). Using the survey method, 494 valid responses were collected and analyzed using structural equation modeling. Results Our analysis results revealed that both consumer satisfaction (β=0.351, t=6.299, P<.001) and dissatisfaction (β=–0.251, t=5.119, P<.001) significantly influenced active usage. With regard to the effect of attributes, excitement attributes (β=0.525, t=12.861, P<.001) and performance attributes (β=0.297, t=6.508, P<.001) positively influenced consumer satisfaction, while performance attributes (β=–0.231, t=3.729, P<.001) and basic attributes (β=–0.412, t=7.132, P<.001) negatively influenced consumer dissatisfaction. The results of the analysis confirmed our proposed hypotheses. Conclusions Our study provides a novel perspective to study the active usage of mobile health applications. By categorizing the attributes of mobile health applications into 3 categories, the differential effects of different attributes can be tested. Meanwhile, consumer satisfaction and dissatisfaction are confirmed to be independent from each other.
An expert system with temporal reasoning for alarm processing in power system control centers

The alarm lists presented to control center operators are usually difficult to interpret. The authors present an expert system that processes the alarm lists in Portuguese control centers. This system makes an intelligent synthesis of the available information and presents it in a flexible and structured way. It uses an original approach to deal with temporal reasoning and real-time constraints. The system incorporates an explanation module that enables its use as a tutor for novice operators. >
Quality of life and Q-TWiST were not adversely affected in Ewing sarcoma patients treated with combined anlotinib, irinotecan, and vincristine

Abstract Background: Combined treatment with anlotinib, irinotecan, as well as vincristine for advanced Ewing sarcoma (EWS) has been verified been effective in the prospective trial of Peking University People's Hospital EWS trial-02. We aimed to assess the dynamic changes in health-related quality of life (QoL) and the benefit-risk in quality-adjusted survival in current study. Methods: Twelve “pediatric” patients and 23 “adult” patients were enrolled. QoL was assessed with the EORTC QLQ-C30 for adults and PedsQL 3.0 Cancer Module for children and adolescents. The quality-adjusted time without symptoms of disease progression or toxicity of treatment (Q-TWiST) analysis was used to describe treatment results. Results: Progression-free survival was not accompanied by diminished QoL. Differences in scores on the QoL global health status and specific functioning before, during, and after treatment were not significantly different with time (P = .14 for adults and .91 for children). During treatment, there was a statistically insignificant trend towards improved QoL with reduced tumor burden (P = .14 for adults and .10 for children), but QoL significantly declined with progression of disease (P = .05 for adults and .04 for children). The most common adverse events were neutropenia (12.1%), leukopenia (16.6%), anemia (12.7%), and diarrhea (4.93%). Results across the trial analyses showed that the median time of Q-TWiST was 0.73 (interquartile range, 0–1.57) months, whereas the median time with toxicity before disease progression was 3.9 (interquartile range, 2.3, 6.1). Conclusion: QoL exhibited a trend towards improvement in accordance with high objective response in this trial with the receipt of combination therapy of anlotinib, vinsristine, and irinotecan for advanced EWS. The toxicity profile did not translate into significantly worse overall scores during treatment.
Simultaneous Monitoring of pH and Chloride (Cl−) in Brain Slices of Transgenic Mice

Optosensorics is the direction of research possessing the possibility of non-invasive monitoring of the concentration of intracellular ions or activity of intracellular components using specific biosensors. In recent years, genetically encoded proteins have been used as effective optosensory means. These probes possess fluorophore groups capable of changing fluorescence when interacting with certain ions or molecules. For monitoring of intracellular concentrations of chloride ([Cl−]i) and hydrogen ([H+] i) the construct, called ClopHensor, which consists of a H+- and Cl−-sensitive variant of the enhanced green fluorescent protein (E2GFP) fused with a monomeric red fluorescent protein (mDsRed) has been proposed. We recently developed a line of transgenic mice expressing ClopHensor in neurons and obtained the map of its expression in different areas of the brain. The purpose of this study was to examine the effectiveness of transgenic mice expressing ClopHensor for estimation of [H+]i and [Cl−]i concentrations in neurons of brain slices. We performed simultaneous monitoring of [H+]i and [Cl−]i under different experimental conditions including changing of external concentrations of ions (Ca2+, Cl−, K+, Na+) and synaptic stimulation of Shaffer’s collaterals of hippocampal slices. The results obtained illuminate different pathways of regulation of Cl− and pH equilibrium in neurons and demonstrate that transgenic mice expressing ClopHensor represent a reliable tool for non-invasive simultaneous monitoring of intracellular Cl− and pH.
The Physcomitrium patens egg cell expresses several distinct epigenetic components and utilizes homologs of BONOBO genes for cell specification.

Although land plant germ cells have received much attention, knowledge about their specification is still limited. We thus identified transcripts enriched in egg cells of the bryophyte model species Physcomitrium patens, compared the results to angiosperm egg cells, and selected important candidate genes for functional analysis. We used laser-assisted microdissection (LAM) to perform a cell type specific transcriptome analysis on egg cells for comparison with available expression profiles of vegetative tissues and male reproductive organs. We made reporter lines and knock-out mutants of the two BONOBO (PbBNB) genes and studied their role in reproduction. We observed an overlap in gene activity between bryophyte and angiosperm egg cells, but also clear differences. Strikingly, several processes that are male germline-specific in Arabidopsis are active in the P. patens egg cell. Among those were the moss PbBNB genes, which control proliferation and identity of both female and male germlines. Pathways shared between male and female germlines were most likely present in the common ancestors of land plants, besides sex-specifying factors. A set of genes may also be involved in the switches between the diploid and haploid moss generations. Non-angiosperm gene networks also contribute to the specification of the P. patens egg cell.
A calibration method for a distance detection camera

A technique is developed to calibrate a camera which is equipped on mobile robot and detect a distant scene. A flexible calibration target, on which calibration feature points are generated according to cross-ratio invariability, is employed in this paper. As can be extended as needed, the target has a flexible size and can be used at discretionary distance from the camera. To guarantee the generating accuracy of calibration points, coordinates of principal point and radial lens distortion coefficients of first two orders are determined previously. Experiment results revealed the effectiveness of the presented method and higher accuracy than traditional method.
Baduanjin Exercise for Adults Aged 65 Years and Older: A Systematic Review and Meta-Analysis of Randomized Controlled Studies

This study performed a systematic review and meta-analysis to evaluate the health effects of Baduanjin exercise on adults aged 65 years and older. Chinese and English databases were electronically searched using search terms related to the PICO model from inception through June 2021. The study quality assessment and meta-analysis were conducted using the PEDro scale and RevMan 5.4 software. Eleven included Chinese studies, published between 2015 and 2021, recruited participants from the mainland of China. The aggregated results showed significant benefits of Baduanjin on physical function, walking ability, balance, and anxiety. A long-term Baduanjin intervention could also improve quality of life and reduce falls and pain. Baduanjin appears to have the potential to improve the health of older adults, but conclusions are limited due to the lack of rigorous and robust studies within and outside of mainland China. Larger, well-designed RCTs are needed to confirm these findings.
Demographics, health literacy and health locus of control beliefs of Australian women who take complementary medicine products during pregnancy and breastfeeding: A cross‐sectional, online, national survey

Pregnant and breastfeeding women's use of complementary medicine products (CMPs) is common, and possibly associated with autonomous health care behaviours. However, the health literacy levels and health locus of control (HLOC) beliefs of women who use CMPs in pregnancy and lactation have not been previously assessed in a large Australian sample.
Fine‐needle aspiration cytological findings in three cases of metastatic amelanotic melanoma to the parotid gland with divergent differentiation

This report presents the clinical and pathologic findings of three cases of metastatic amelanotic melanoma to the parotid gland. Two of the patients had a primary cutaneous tumor. Fine‐needle aspiration of the parotid showed clusters of epithelioid cells and/or spindle‐shaped cells with vesicular nuclei, macronucleoli, and abundant eosinophilic cytoplasm. In addition, one had striking balloon‐cell features. In the immunohistochemical study, the tumors expressed S‐100, HMB‐45 antigen, Melan‐A, and SOX10, and focally smooth‐muscle actin, cytokeratin, CD56, p63, and synaptophysin. The diagnosis was challenging because the tumors were clinically thought to be primary parotid lesion and showed unusual immunohistochemical labeling for SMA, cytokeratins, p63, and neuroendocrine markers. Furthermore, the long clinical history in two of the cases made the diagnosis of a metastatic lesion less likely. Diagnostic errors can be reduced by integrating cytomorphologic, histologic, immunohistochemical, and clinical findings.
Dynamic Characterization of Single Cells Based on Temporal Cellular Mechanical Properties

The mechanical properties of cells play important roles in regulating the physiological activities of cells and reflect the state of macro-organisms. Although many approaches are available for investigating the mechanical properties of cells, the fluidity of cytoplasm across cell boundaries makes characterizing the dynamics of mechanical properties of single cells exceedingly difficult. In this study, we present a single cell characterization method by modelling the dynamics of cellular mechanical properties measured with an atomic force microscope (AFM). The mechanical dynamics of a single cell system was described by a linear model with a mechanical stimulus as virtual input and mechanical property parameters as outputs. The dynamic mechanical properties of a single cell were characterized by the system matrix of the single cell system. The method was used to classify different types of cells, and the experimental results show that the proposed method outperformed conventional methods by achieving an average classification accuracy of over 90%. The developed method can be used to classify different cancer types according to the mechanical properties of tumour cells, which is of great significance for clinically assisted pathological diagnosis.
Suppressing visual hallucinations in an adolescent by occipital transcranial magnetic stimulation: A single-case experimental research design

ABSTRACT Visual hallucinations after central or peripheral impairment, commonly called Charles Bonnet syndrome, are often highly distressing and with few available treatment options. Here we report a case where an adolescent developed severely distressing visual hallucinations after hypoxic damage to the occipital cortex following a suicide attempt. The patient received active and sham occipital continuous theta-burst stimulation (cTBS) in a single-case experimental research design and a subsequent open phase, to evaluate cTBS as a Charles Bonnet treatment. The visual hallucinations seemed to decrease more during active than sham cTBS in the blind phase, and in the following week of repeated five daily treatments they almost disappeared. A normalization of increased activity in the lateral visual network after cTBS was observed on a functional magnetic resonance imaging resting-state analysis compared with 42 healthy controls. Visual evoked potentials stayed largely unchanged both in the sham-controlled blind phase and the subsequent open phase. During the two weeks after the open phase with repeated cTBS sessions, the visual hallucinations gradually reappeared and almost returned to the baseline level. Our findings suggest that active cTBS over the primary visual cortex can reduce visual hallucinations through modulation of downstream visual regions, though the effect is temporally limited.
Cross-Modal Distillation to Improve MRI-Based Brain Tumor Segmentation With Missing MRI Sequences

Convolutional neural networks (CNNs) for brain tumor segmentation are generally developed using complete sets of magnetic resonance imaging (MRI) sequences for both training and inference. As such, these algorithms are not trained for realistic, clinical scenarios where parts of the MRI sequences which were used for training, are missing during inference. To increase clinical applicability, we proposed a cross-modal distillation approach to leverage the availability of multi-sequence MRI data for training and generate an enriched CNN model which uses only single-sequence MRI data for inference but outperforms a single-sequence CNN model. We assessed the performance of the proposed method for whole tumor and tumor core segmentation with multi-sequence MRI data available for training but only <inline-formula><tex-math notation="LaTeX">$T_{1}$</tex-math></inline-formula>-weighted (<inline-formula><tex-math notation="LaTeX">$T_{\text{1}w}$</tex-math></inline-formula>) sequence data available for inference, using BraTS 2018, and in-house datasets. Results showed that cross-modal distillation significantly improved the Dice score for both whole tumor and tumor core segmentation when only <inline-formula><tex-math notation="LaTeX">$T_{\text{1}w}$</tex-math></inline-formula> sequence data were available for inference. For the evaluation using the in-house dataset, cross-modal distillation achieved an average Dice score of 79.04% and 69.39% for whole tumor and tumor core segmentation, respectively, while a single-sequence U-Net model using <inline-formula><tex-math notation="LaTeX">$T_{\text{1}w}$</tex-math></inline-formula> sequence data for both training and inference achieved an average Dice score of 73.60% and 62.62%, respectively. These findings confirmed cross-modal distillation as an effective method to increase the potential of single-sequence CNN models such that segmentation performance is less compromised by missing MRI sequences or having only one MRI sequence available for segmentation.
Unsupervised Gait Phase Estimation With Domain-Adversarial Neural Network and Adaptive Window

The performanceof previous machine learning models for gait phase is only satisfactory under limited conditions. First, they produce accurate estimations only when the ground truth of the gait phase (of the target subject) is known. In contrast, when the ground truth of a target subject is not used to train an algorithm, the estimation error noticeably increases. Expensive equipment is required to precisely measure the ground truth of the gait phase. Thus, previous methods have practical shortcoming when they are optimized for individual users. To address this problem, this study introduces an unsupervised domain adaptation technique for estimation without the true gait phase of the target subject. Specifically, a domain-adversarial neural network was modified to perform regression on continuous gait phases. Second, the accuracy of previous models can be degraded by variations in stride time. To address this problem, this study developed an adaptive window method that actively considers changes in stride time. This model considerably reduces estimation errors for walking and running motions. Finally, this study proposed a new method to select the optimal source subject (among several subjects) by defining the similarity between sequential embedding features.
Optimization-Driven Design of a Kinesthetic Haptic Interface With Human-Like Capabilities

Developing manipulators for kinesthetic haptic interfaces is challenging due to a large number of design parameters. We propose a novel optimization-driven design approach taking into account the properties of the entire workspace of the human arm instead of a specific task. To achieve this, models of both the human arm and the haptic manipulator are derived and deployed in a suitable objective function, which simultaneously considers poses, velocities, accelerations, as well as displayed forces and torques. A detailed analysis and experiments with real-world motion tracking data show that the proposed method is capable of finding meaningful design parameters to enable good haptic transparency.
Real-time defect detection using multiaperture fiber optic sensors and machine learning

Smooth surfaces are widely applied in modern technology. Therefore a large variety of approaches for the determination of microtopographic surface descriptors has been developed. But there is a lack in adapted techniques for in-process surface assessment and defect detection. This paper deals with the development of an in-process sensor based on fiber optics and multivariate statistical signal processing.
Circulating microRNA-208 family as early diagnostic biomarkers for acute myocardial infarction

Abstract Objective: Many recent studies have demonstrated that serum miRNA-208 (miR-208) could be a powerful biomarker in the early diagnosis of acute myocardial infarction (AMI). However, the result of previous studies was not accurate due to the small sample sizes and controversial issues. Therefore, this study was performed to investigate the relationship between the expression levels of miR-208 and AMI. Materials and methods: According to the inclusion and exclusion criteria, a preliminary literature search was performed. The study was based on articles published in PubMed, Embase, Cochrane databases before September 30, 2019. Two staff members extracted data from the included articles for meta-analysis. These data were analyzed for sensitivity, specificity, diagnostic odds ratio, and summary receiver operator curve (SROC) analyses. Results: This study included 13 pieces of literature, which contains 1703 patients with AMI and 1589 controls. The main results of our meta-analysis were as follows: The pool sensitivity and specificity of miR-208 for diagnosing AMI was 83% and 97%. The area under the SROC curve (AUC) was 93%. Mir-208 had a highly effective diagnostic capacity to distinguish AMI from chest pain patients with an AUC of 93%. Conclusions: The results showed that circulating miR-208 was a reliable biomarker both for diagnosting ST-elevation myocardial infarction (STEMI) and non-ST elevation myocardial infarction (NSTEMI). MiR-208 was sufficient to distinguish AMI patients with chest pain from healthy controls.
Elucidating the structural–functional connectome of language in glioma‐induced aphasia using nTMS and DTI

Glioma‐induced aphasia (GIA) is frequently observed in patients with newly diagnosed gliomas. Previous studies showed an impact of gliomas not only on local brain regions but also on the functionality and structure of brain networks. The current study used navigated transcranial magnetic stimulation (nTMS) to localize language‐related regions and to explore language function at the network level in combination with connectome analysis. Thirty glioma patients without aphasia (NA) and 30 patients with GIA were prospectively enrolled. Tumors were located in the vicinity of arcuate fasciculus‐related cortical and subcortical regions. The visualized ratio (VR) of each tract was calculated based on their respective fractional anisotropy (FA) and maximal FA. Using a thresholding method of each tract at 25% VR and 50% VR, DTI‐based tractography was performed to construct structural brain networks for graph‐based connectome analysis, containing functional data acquired by nTMS. The average degree of left hemispheric networks (Mleft) was higher in the NA group than in the GIA group for both VR thresholds. Differences of global and local efficiency between 25% and 50% VR thresholds were significantly lower in the NA group than in the GIA group. Aphasia levels correlated with connectome properties in Mleft and networks based on positive nTMS mapping regions (Mpos). A more substantial relation to language performance was found in Mpos and Mleft compared to the network of negative mapping regions (Mneg). Gliomas causing deterioration of language are related to various cerebral networks. In NA patients, mainly Mneg was impacted, while Mpos was impacted in GIA patients.
Ru(III) Complexes with Lonidamine-Modified Ligands

A series of bifunctional Ru(III) complexes with lonidamine-modified ligands (lonidamine is a selective inhibitor of aerobic glycolysis in cancer cells) was described. Redox properties of Ru(III) complexes were characterized by cyclic voltammetry. An easy reduction suggested a perspective for these agents as their whole mechanism of action seems to be based on activation by metal atom reduction. New compounds demonstrated a more pronounced antiproliferative potency than the parental drug; individual new agents were more cytotoxic than cisplatin. Stability studies showed an increase in the stability of complexes along with the linker length. A similar trend was noted for antiproliferative activity, cellular uptake, apoptosis induction, and thioredoxin reductase inhibition. Finally, at concentrations that did not alter water solubility, the selected new complex evoked no acute toxicity in Balb/c mice.