Miracle-dz/UniFAR-FTUs huggingface dataset:
Advanced Synchronous Control of Dual Parallel Motion Systems

Dual parallel motion systems are mechanisms that drive load jointly by dual parallel motion axes. For these special mechanisms, diminishing desynchronization between parallel axes is essential to harness the potential performance of the whole system. However, a wide variety of synchronization applications tend to have great differences in control objectives and mechanical structures, which makes it laborious and time-consuming to design customized control schemes. Meanwhile, existing generalized synchronous control schemes are simply based on state compensation, which finitely offset mechanical coupling effect and limit the synchronization performance. To overcome these drawbacks, a generalized model of dual parallel motion systems is presented in this article, which can categorize the synchronous control objective into one uniform expression. By applying motion decoupling strategy to the generalized model, an advanced composite synchronous control scheme is proposed, which provides a generalized synchronization solution with comprehensively considering the motion coupling effect. Finally, simulation and experimental results on a dual-driven gantry platform verify that the proposed control scheme can significantly improve the synchronization performance.
A Multiscale Deep Learning Model for Soil Moisture Integrating Satellite and In Situ Data

Deep learning (DL) models trained on hydrologic observations can perform extraordinarily well, but they can inherit deficiencies of the training data, such as limited coverage of in situ data or low resolution/accuracy of satellite data. Here we propose a novel multiscale DL scheme learning simultaneously from satellite and in situ data to predict 9 km daily soil moisture (5 cm depth). Based on spatial cross‐validation over sites in the conterminous United States, the multiscale scheme obtained a median correlation of 0.901 and root‐mean‐square error of 0.034 m3/m3. It outperformed the Soil Moisture Active Passive satellite mission's 9 km product, DL models trained on in situ data alone, and land surface models. Our 9 km product showed better accuracy than previous 1 km satellite downscaling products, highlighting limited impacts of improving resolution. Not only is our product useful for planning against floods, droughts, and pests, our scheme is generically applicable to geoscientific domains with data on multiple scales, breaking the confines of individual data sets.
Inorganic biomaterials‐based bioinks for three‐dimensional bioprinting of regenerative scaffolds

The application of inorganic biomaterials in regenerative medicine is increasingly expanded. Taking advantages of attractive properties of the inorganic biomaterials, sorts of functional bioinks have been developed based on inorganic biomaterials and were applied to construct inorganic/organic/cell‐laden systems for tissue regeneration via 3D bioprinting technology. In this review, we aim to summarize the existing inorganic biomaterials‐based bioinks (referred to as “inorganic‐bioinks”) for 3D bioprinting regenerative scaffolds. We introduce the recently developed inorganic‐bioinks from the perspective of the function of bioinks, and especially highlight the incorporation of inorganic biomaterials improving the printability, mechanical strength, and bioactivity of the bioinks for different tissue regeneration. Subsequently, the current applications of the inorganic‐bioinks in constructing 3D cell‐laden scaffolds for tissue regeneration are presented. Finally, challenges and prospects for the inorganic biomaterials‐based bioprinting strategy are discussed.
Data Capital A Systematic Literature Review

Data capital is one of the newly emerging concepts in information technology. It emerged in early 2015, and currently, we have an opportunity to explore it in more detail. Data capital is a way to treat data as an asset that is used to increase revenue, gain profit or generate new income. There has never been a proper review of data capital. Therefore, this study aims to conduct a systematic literature review of academic articles on data capital. We use the Kitchenham method and combine it with the narrative synthesis as prescribed by Cochrane. The obtained results show that there is still very limited academic research related to the concept of data capital. The reviewed articles focus on five issues, i.e., ethical, legal, infrastructure, data capital application, and data capital conceptualisation. This study is the first attempt to conduct a detailed systematic literature review in the data capital context. It provides a broad insight into data capital. It improves our understanding of how data capital is currently developing, why it is important, and the impact of data capital incorporation. Any issues that have been researched in the data capital context are also revealed in this study including the type of research performed, approach used, and method chosen. These insights will encourage other researchers to delve into data capital research.
The Effect of Acupuncture Combined with Aerobic Exercise for Coronary Heart Disease as Cardiac Rehabilitation

Background The mortality of coronary heart disease continues to rise. Cardiac rehabilitation intervenes the risk factors of cardiovascular disease, improves cardiopulmonary function, maintains healthy psychology, improves the quality of life of patients, and reduces cardiovascular mortality. Objective To explore the effect of acupuncture combined with aerobic exercise on cardiopulmonary exercise ability, blood lipid, fatty acid oxidation, and psychology in patients with coronary heart disease. Methods Sixty patients with coronary heart disease from February 2018 to October 2020 were randomly divided into two groups: the control group and experimental group. The control group was given an exercise prescription, and the experimental group was given acupuncture combined with an exercise prescription. Before and after the intervention, the cardiopulmonary exercise test, blood lipid, carnitine acyltransferase (CACT), the Self-Rating Somatic Symptom Scale (SSS), the Generalized Anxiety Disorder-7 (GAD-7), and the Patient Health Questionnaire-9 (PHQ-9) of the two groups were compared. Results The PHQ-9 score was better in the experimental group than in the control group. In both groups, after the intervention, the peak oxygen uptake and anaerobic threshold were increased, and blood lipid and PHQ-9 scores were decreased. In the experimental group, the carbon dioxide metabolic equivalent was decreased, CACT was increased, and SSS and GAD-7 scores were decreased, with statistical difference (P < 0.05). Conclusion Acupuncture combined with aerobic exercise can improve the cardiopulmonary exercise ability, increase fatty acid oxidation, decrease blood lipid, and ameliorate anxiety and depression symptoms of patients with coronary heart disease as cardiac rehabilitation.
The level and efficacy of lutein in patients with age-related macular degeneration: a comprehensive systematic review and meta-analysis

Background Lutein has been linked with various visual performance disorders, including age-related macular degeneration (AMD). However, previous studies evaluating the association between serum lutein and the risk of AMD showed results, and the efficacy of lutein intake in AMD patients remains unclear. Methods To comprehensively estimate the relationship between lutein and AMD, a systematic review and meta-analysis was conducted by searching eligible randomized clinical trials (RCT) and case-control studies to study the association between lutein and AMD on the Cochrane Library, MEDLINE, Elsevier, PubMed, Web of Knowledge, Chinese National Knowledge Infrastructure (CNKI), and Chinese Biomedical Database (CBM) databases until April 2020. The weighted mean difference (WMD) with 95% confidence interval (95% CI) was adopted as the primary effect estimate. Meta-analysis was conducted using STATA 12.0. Results Nine studies with 855 participants were included in this meta-analysis. The NOS scoring of five case-control studies ranged 5–9. For RCTs, two studies were rated with a low risk of bias, one study with a moderate risk of bias and one with a high risk of bias. The results increased significantly in macular pigment optical density (MPOD) (WMD =0.069; 95% CI: 0.040–0.098, P=0.000) among AMD patients taking lutein supplementation, while there was no difference in circulating lutein levels between AMD patients and controls (WMD =0.00; 95% CI: −0.01 to 0.00, P=0.310). Subgroup analysis suggested that the dose and duration of supplementation could significantly influence the MPOD level in AMD patients. In particular, we observed a larger increase in MPOD of AMD patients using a higher dose (20 mg/d) and longer treatment (>6 months). Conclusions Although current evidence does not support circulating lutein as a biomarker for early screening of the high-risk AMD population, this study is the first meta-analysis to explore the relationship between lutein in blood and AMD patients. Given that lutein has a high safety profile as indicated by many studies, it is reasonable to give the current analysis result that high dose (20 mg/d) and long duration (>6 months) of lutein intake could be beneficial to AMD patients.
Closed-Loop Robotic Arm Manipulation Based on Mixed Reality

Robotic manipulators have become part of manufacturing systems in recent decades. However, in the realm of Industry 4.0, a new type of manufacturing cell has been introduced—the so-called collaborative manufacturing cell. In such collaborative environments, communication between a human operator and robotic manipulators must be flawless, so that smooth collaboration, i.e., human safety, is ensured constantly. Therefore, engineers have focused on the development of suitable human–robot interfaces (HRI) in order to tackle this issue. This research work proposes a closed-loop framework for the human–robot interface based on the utilization of digital technologies, such as Mixed Reality (MR). Concretely, the framework can be realized as a methodology for the remote and safe manipulation of the robotic arm in near real-time, while, simultaneously, safety zones are displayed in the field of view of the shop-floor technician. The method is based on the creation of a Digital Twin of the robotic arm and the setup of a suitable communication framework for continuous and seamless communication between the user interface, the physical robot, and the Digital Twin. The development of the method is based on the utilization of a ROS (Robot Operating System) for the modelling of the Digital Twin, a Cloud database for data handling, and Mixed Reality (MR) for the Human–Machine Interface (HMI). The developed MR application is tested in a laboratory-based machine shop, incorporating collaborative cells.
Exploring molecular targets in diabetic kidney disease

Diabetic kidney disease is the leading cause of end-stage kidney disease, and it remains a major challenge. Many factors, such as glomerular hyperfiltration, oxidative stress, inflammation, hypoxia, and epigenetics, are associated with the progression of diabetic kidney disease; however, the whole mechanism is not yet completely understood. No specific treatment for diabetic kidney disease has been established, so new approaches are being explored extensively. Sodium-glucose cotransporter 2 inhibitors have shown renoprotective effects in several human clinical trials. Glucagon-like peptide 1 receptor agonists and mineralocorticoid receptor antagonists have been reported to be effective in diabetic kidney disease, and novel therapeutic candidates are also being examined. In the TSUBAKI trial, a nuclear factor erythroid 2-related factor 2 activator, bardoxolone methyl, improved the glomerular filtration rate of diabetic kidney disease patients. Similarly, new agents that act in the oxidative stress and inflammation pathways are of major interest, such as pentoxifylline, apoptosis signal-regulating kinase-1 inhibitors, C-C chemokine receptor 2 inhibitors, and Janus kinase-1/2 inhibitors. Endothelin-1 receptor A antagonists and soluble guanylate cyclase stimulators are also expected to affect renal hemodynamics. Some preclinical studies suggest that hypoxia-inducible factor prolyl hydroxylase inhibitors, which influence multiple inflammations and oxidative stress pathways, reduce albuminuria in diabetic kidney disease. Advanced glycation end-product inhibitors and treatments related to epigenetics have also shown promise as potential diabetic kidney disease treatments in preclinical studies. The discovery of new targets could provide new therapeutic options for overcoming diabetic kidney disease.
Factors Affecting Professional Self-Concept among Psychiatric Nurses in South Korea

Background: We aimed to investigate factors affecting ego-resilience, emotional labor, and job satisfaction and their relationship with professional self-concept among psychiatric nurses. Methods: The study was conducted among nurses working in four psychiatric wards: Sung Eun Medical Foundation Reference Hospital (Medical Corporation) in Jeongeup City, Korea; Dasarang Hospital in Gwangju, Korea; Saemirae Hospital in Gwangju (metropolitan city), Korea; and Jangseong Hospital in Jangseong-eup City, Korea. All nurses fully understood the purpose of the study and voluntarily agreed to participate. From August 14 to September 24, 2020, direct survey data were collected by a researcher using a structured questionnaire. Of the 136 questionnaires retrieved, 129 were used for analysis, while 7 were excluded due to incomplete or missing responses. Results: Significantly different effects on professional self-concept were noted for the following general characteristics: age (P<0.001), religion (P=0.024), duration of nursing career (P=0.041), position (P=0.021), salary (P=0.016), nursing job satisfaction (P=0.022), and psychiatric nursing job satisfaction (P=0.010). Moreover, professional self-concept was correlated with ego-resilience (r=0.62, P<0.001) and job satisfaction (r=0.41, P<0.001). In the multiple regression analysis, factors affecting professional self-concept included no religious preference (β=0.25, P<0.001), employment as a charge nurse (β= −0.20, P=0.034), and ego-resilience (β=0.58, P<0.001). The explanatory power was 42.1%. Conclusion: Ego-resilience is the factor most strongly influencing professional self-concept. Furthermore, professional self-concept was stronger among those without religious preferences and those who held senior positions (charge nurse).
Language learning affordances of Instagram and TikTok

ABSTRACT This study examines creative uses of emerging image-based social media for informal language learning. Adopting the ecological concept of affordances, it investigates new technological features on Instagram and TikTok and how they are utilised as resources for language learning. Using public data of Instagram photo/video and TikTok video posts, the study is based on 200 posts from each application collected over two months. A qualitative content analysis was conducted based on four key dimensions of technological innovation: multimodality, mobility, instantaneous participation, and interactivity. The findings show how language learners’ use of the new technological features employed on the two platforms are related to these dimensions, and how they use agency and creativity to perceive affordances for language learning in features not originally designed for this purpose. The study contributes to understanding of the ways in which online informal language learning is adapting to technological innovation in new image-based social media.
Nonintrusive reduced‐order modeling approach for parametrized unsteady flow and heat transfer problems

A novel nonintrusive reduced‐order modeling approach is proposed for parametrized unsteady flow and heat transfer problems. A set of reduced basis functions are extracted via a proper orthogonal decomposition (POD) method from a collection of high‐fidelity numerical solutions (snapshots of spatial distribution at a series of time steps) that are computed for properly chosen parameters (e.g., material property, initial/boundary conditions) using a full‐order model (finite‐volume/finite‐element methods). Here, the time dimension is treated separately from other parameters, reflecting the dynamic features of the flow problems. Dynamic mode decomposition is used to decompose the time‐resolved data (POD coefficients) into dynamics modes and reconstruct/predict the dynamic evolution of the flow systems. The POD coefficients at every time step under the condition of a set of parameters are approximated through interpolation with the radial basis function method from those obtained from the snapshots of the chosen parameter space. Hence, the POD coefficients at a set of given time and parameters can be approximated, and the spatial distribution of the solution data can be reconstructed. The current reduced‐order model has been applied to the problems governed by a set of parametrized unsteady Navier–Stokes and heat conduction equations. The model capability has been illustrated numerically by three numerical test cases: flow past a cylinder, melt solidification, and dam break. The model prediction capabilities have been evaluated by varying the material properties (viscosity and density) and the heat transfer conditions on some of the boundaries. An error analysis is also carried out to show the model prediction accuracy.
Propuesta de variantes en la programación por metas con prioridades, para coadyuvar a la toma de decisiones en la selección de alternativas de inversión en Pymes

Objetivo y alcance: con este artículo se busca presentar la propuesta de variantes en la programación por metas con prioridades, para definir un curso de acción óptimo en el proceso de la toma de decisiones. Metodología: fue necesario indagar sobre la modelación matemática de los métodos secuencial y simplex multifase, y a través de una aplicación práctica, identificar cuales principios rigen el comportamiento de la naturaleza del proceso de la toma de decisiones y coadyuvar a la gestión en procesos internos de las pymes. Resultados: resultado del acercamiento a la revisión teórica del modelo matemático de la programación por metas con prioridades, se espera que los resultados obtenidos orienten al centro decisor en la selección de alternativas de inversión en pymes. Conclusiones: todo esto servirá para la selección de alternativas de inversión que lleven a alcanzar los objetivos y fines definidos en las políticas administrativas, dinamizando así, el entorno en el cual interactúan las pymes.
Covering the Cover.

s excluded because of not relevant, letter, review (n= 283) Articles retrieved for full-text evaluation (n= 22) Articles excluded because of non-comparative study (n= 12) or other than endoscopic submucosal dissection (n= 5) Articles suitable for metaanalysis (n= 5) Outcome/ Selection exposure Author 1 2 3 4 Comparability 1 2 3 Sanomura et al. (24) ★ ★ ★ ★★ ★ Ninomiya et al. (11) ★ ★ ★ ★ ★ Lim et al. (10) ★ ★ ★ ★ ★ ★ ★ Matsumura et al. (25) ★ ★ ★★ ★ ★ Cho et al. (26) ★ ★ ★ ★ ★ Quality assessment of bias in the included studies was evaluated based on the Newcastle-Ottawa quality assessment scale Table 1. Quality assessment of bias in the included studies O ri gi na l A rt ic le
Coping style mediates the relationship between psychological capital and depression among senior high school students

We explored the mediating effect of coping style in the relationship between psychological capital and depression in a sample of 367 senior high school students from Shanghai, China. We measured their psychological capital, coping style, and depression using the Psychological Capital Questionnaire for Adolescent Students, the Trait Coping Style Questionnaire, and the Center for Epidemiologic Studies Depression Scale. The results show that psychological capital and positive coping were significantly and positively correlated, psychological capital and positive coping were significantly and negatively related to negative coping and depression, and negative coping and depression were significantly and positively correlated. After controlling for school type, grade, and gender, both positive and negative coping styles mediated the association between psychological capital and depression. The results indicate the importance of high levels of psychological capital and positive coping for preventing and alleviating depression in senior high school students.
Adopting Natural Host Immune Response Against Zoonosis

Zoonosis originated from the transmission of pathogens between species. Rapid mutation causes the pathogens to develop resistance to treatments. Thus, there is an urgent need for medications that could maintain efficacy when encountering new strains. This study aims to discern the possibility of overcoming threats from EIDs by recreating immune responses of natural hosts and reinforcing them in the human system. The methodology used is literature study, as the resarcher utilized data presented by similar studies. References will be taken from clinical trials and studies on related topics from PubMed, ResearchGate, and NCBI. Within multiple research papers, it was found that several experts support the idea of mimicking hosts' immunity through the use of interferon. Treatments with IFN-2b significantly reduce viral infection of SARS-CoV-2 in the upper respiratory tract and increase blood levels of inflammatory markers, according to research conducted in Wuhan. Similar results apply in other trials, proving that interferon managed to contain the invasion of pathogens. This is shown through a reduction in the severity of infections, the duration of viral clearance, and levels of mortality. The results conclude that the use of interferon benefits the patient’s recovery progress by mimicking the natural host’s immune response and heightening the viral clearance rate. More research needs to be done to explore the effect of excessive IFN-$\alpha$/$\beta$ usage on immunity.
Toward Remaking Software Development to Secure It

Modern software development depends on tools and techniques to represent implied information processing logic to the human engineer, relying chiefly on effortful human reasoning to best determine critical properties of the software system. Current conceptualization, visualization and contextualization of software in development amounts to a significant under-utilization of already limited development resources directed to optimization, prevention, and addressing fundamental security properties of the software system. As a step toward increasing such utilization as a basis for a global ecosystem of secure software, this work explores and evaluates an alternative representation of software source code for the sake of secure development, manifesting universal, critical properties of the system to enhance control of security factors while the bulk of the properties of the system are being determined and the costly skills of the developer are directed to the many aspects of the task.