Miracle-dz/UniFAR-FTUs huggingface dataset:
The Association between Type-2 Diabetes Duration and Major Adverse Cardiac Events after Percutaneous Coronary Intervention

Background. Diabetes is an independent risk factor for coronary artery disease and portends adverse prognosis in diabetic patients undergoing percutaneous coronary intervention (PCI) compared to nondiabetic patients. Few studies are currently available regarding the relationship between diabetes duration and major adverse cardiac events (MACEs) post-PCI. This study is aimed at assessing the association between diabetes duration and major adverse cardiac events after PCI. Methods. A total of 302 cases of diabetic patients undergoing an elective PCI with drug-eluting stent (DES) deployment and or percutaneous transluminal coronary angioplasty (PTCA) using a drug-coated balloon (DCB) were prospectively studied. We divided patients into three groups based on diabetes duration: <5 years group ( n = 165 ), 5–10 years’ group ( n = 72 ), and ≥10 years’ group ( n = 65 ). Angiographic and clinical follow-up were conducted 12 months after the procedures for all the patients and at any given time during the study when needed. Results. A significantly higher rate of myocardial infarction (MI) in diabetic patients with the longest diabetes duration (7.7% vs. 0% and 0.6%, P = 0.001 ) was observed compared with groups of shorter duration. Repeat coronary revascularization was found to be significantly higher in the >10-year group than was it in groups with shorter duration of diabetes (23.1% vs. 19.4% and 9.10%, P = 0.03 ). After adjustment for confounding risk factors, longer diabetes duration remained an independent predictor of MI (hazard ratio (HR): 5.525, confidence interval (CI): 1.273-23.978, P = 0.022 ) and repeat revascularization (HR: 1.608, CI: 1.058-2.443, P = 0.026 ). Repeat revascularization was significantly related to the progression of nontreated lesions (De novo lesions 20% vs. 18% and 7.3%, P = 0.009 ) compared to previously treated lesions (target lesion revascularization (TLR) 3% vs. 1.3% and 2%, P = 0.774 ). However, all-cause mortality was not significantly different among the groups (3.1% vs. 5.6% and 0.6%, P = 0.06 , HR: 2.403, CI: 0.464-12.436, P = 0.293 ). Conclusion. Diabetes duration was associated with significant differences in major adverse cardiac events after the percutaneous coronary intervention; the longest diabetes duration portended higher rates of MACEs than shorter duration at the 12-month follow-up.
Defining Seclusion: A Qualitative Multiphase Study Based on the Perspectives of Youth and Professionals in Secure Residential Youth Care in the Netherlands

ABSTRACT Using seclusion in youth mental health care is controversial, as it can have physical and psychological consequences for youth and professionals. Notably, there is a wide disparity in how seclusion is defined in literature and practice. This leads to a diffuse image of what seclusion comprises, complicates measuring its prevalence, and hampers initiatives to reduce its use. Therefore, the objective of this study was to establish an unambiguous and measurable definition of seclusion supported by youth and professionals in secure residential youth care in the Netherlands. A qualitative multiphase approach was used to examine which elements of the definition are essential and receive consensus among youth and professionals. After a brief literature review, a Delphi survey and focus groups were performed. In total, 11 (ex-)clients and 33 professionals with extensive experience in secure residential youth care participated. Youth and professionals arrived at the following definition: “an involuntary placement in a room or area the client is not allowed or able to leave”. During the implementation process, observations showed broad support for the definition by youth and professionals. With this, a foundation has been provided to monitor and reduce the use of seclusion in secure residential youth care in the Netherlands.
Decisions and Coordination in E-Commerce Supply Chain under Logistics Outsourcing and Altruistic Preferences

Considering the peculiarities of logistics in the electronic commerce (e-commerce) supply chain (ESC) and e-commerce platform’s altruistic preferences, a model including an e-commerce platform, third-party logistics service provider, and manufacturer is constructed. Based on this, three decision models are proposed and equilibrium solutions are obtained by the Stackelberg game. Then, an “altruistic preference joint fixed-cost” contract is proposed to maximize system efficiency. Finally, numerical analysis is used to validate the findings of the paper. The article not only analyzes and compares the optimal decisions under different ESC models, but also explores the intrinsic factors affecting the decisions. This paper finds that the conclusions of dual-channel supply chains or traditional supply chains do not necessarily apply to ESC, and that the effect of altruistic behavior under ESC is influenced by consumer preferences. Moreover, there is a multiparty win–win state for ESC, and this state can be achieved through the “altruistic preference joint fixed-cost” contract. Therefore, the findings of this paper contribute to the development of an e-commerce market and the cooperation of ESC members.
Network Pharmacology Study and Molecular Docking on the Mechanism of Treatment of Colorectal Cancer by Xiao-Chai-Hu-Tang

Background and objective: To predict the targets and signal pathways of Xiao-Chai-Hu-Tang (XCHT) in the treatment of colorectal cancer (CRC) based on network pharmacology, to further analyze its anti-CRC material basis and mechanism of action.Methods: TCMSP and TCMID databases were adopted to screen the active ingredients and potential targets of XCHT. CRC-related targets were retrieved by analyzing published microarray data (accession number GSE110224) from the Gene Expression Omnibus (GEO) database. The above common targets were used to construct the “herb-active ingredients-target” network by Cytoscape 3.8. 0 software. And then, the protein-to-protein interaction（PPI）was constructed and analyzed with BisoGenet and CytoNCA plug-in in Cytoscape. Gene Ontology (GO) functional and the Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway enrichment analysis for target genes were then performed using the R package of cluster Profiler. Further, AutoDock Vina software was used to conduct molecular docking studies on the active ingredients and key targets to verify the network pharmacological analysis results.Results: A total of 71 active ingredients of XCHT and 20 potential targets for anti-CRC were identified. The network analysis revealed that quercetin, stigmasterol, kaempferol, baicalein, acacetin may be the key compounds. And PTGS2, NR3C2, CA2, MMP1 may be the key targets. The active ingredients of XCHT interacted with most disease targets of CRC. It fully showed that XCHT exerted its therapeutic effect through the synergistic action of the multi-compound, multi-target, and multi-pathway. Gene ontology enrichment analysis showed 46 GO entries, including 20 biological processes, 6 cellular components, and 20 molecular functions. 11 KEGG signaling pathways had been identified, including IL-17 signaling pathway, TNF signaling pathway, Toll-like receptor signaling pathway, and NF-kappa B signaling pathway. It showed that XCHT played a role in the treatment of CRC by regulating different signal pathways. Molecular docking confirmed the correlation between five core compounds (including quercetin, stigmasterol, kaempferol, baicalein, and acacetin) and PTGS2.Conclusion: The potential active ingredients, possible targets, and key biological pathways for the efficacy of XCHT in the treatment of CRC were preliminarily described, which provided a theoretical basis for further experimental verification research.
Online support-provision in the self-disclosure of eating disorders

This paper highlights the importance of appropriate communication with individuals who suffer from eating disorders (ED). The negative perception that society has towards ED often leads its patients to conceal their problems and avoid seeking help (Perveen et al., 2017). Understanding the manners in which support-providers approach ED patients in order to eliminate the fear is therefore important. Data was collected from the National Eating Disorders Association (NEDA) website from January to March 2018, where support-providers’ responses to posts of self-disclosure were qualitatively analyzed through computer-mediated discourse analysis (CMDA) using McCormack’s (2010) Categories of Social Support and Blum-Kulka and Olshtain’s (1984) Cross-Cultural Study of Speech Act Realization Patterns (CCSARP). Drawing on the categories of social support proposed by McCormack, it was found that most of the strategies that the support-providers opted for were highly positive and indirect in nature. The findings also showed that the indirect support given was often complemented with words of encouragement and a number of suggestions that were offered as part of the support itself. This allowed the support-providers to appear unimposing on the ED patients while being able to ensure that they were guided on the possible means of recovery.
Remote Online Exams Anxiety during the COVID-19 Crisis: A Cross-Sectional Study among Medical Students

Introduction: Assessment and evaluation are major parts of the medical curriculum which motivate students to study, being a competent physician, and achieving the medical education eligible goals. Medical students, especially at undergraduate levels, experience a significant amount of anxiety due to frequent exams. Meanwhile, the coronavirus disease 2019 disaster forced higher educational institutes all over the world to adopt distance learning. So remote online exams were used as a kind of assessment that can lead to new paradigms.Methods: This cross-sectional study was planned to assess the remote online exams anxiety during COVID-19 Pandemic by analyzing test anxiety categories among basic science and pre-clinical medical students and its correlation between genders in the School of Medicine, Mashhad University of Medical Sciences, Iran, in 2020. Data collection tools were Demographic Questionnaire and Sarasons’s Test Anxiety Scale. Descriptive statistics (mean, percentages) and analytical statistics (t-test and one-way ANOVA) were used to analyze the data with SPSS version 11.5. Results: 290 medical students in basic science and pre-clinical courses were enrolled. 194 (66.4%) of participants were female and 177 (60.6%) were in basic sciences course. The prevalence of mild, moderate, and severe anxiety was 27.9%, 36.9%, and 35.2% respectively. The difference in the mean and SD of anxiety score in basic sciences students and pre-clinical students was not statistically significant (Pvalue=0.26), yet the results indicated that the level of anxiety in females (19.07+7.11) is significantly higher than males (14.44+7.15) (Pvalue<0.001). Conclusion: According to the current study, there is a critical need to take steps to recommend stress management techniques and bring reforms in E-learning and E-assessment systems to lower the anxiety in medical students while providing a stable and reliable electronic exam environment can be helpful.
The Data Comparison of Electron Density Between CSES and DEMETER Satellite, Swarm Constellation and IRI Model

The China Seismo‐Electromagnetic Satellite (CSES), which is also called ZhangHeng‐1 (ZH‐1), was successfully launched on February 2, 2018. Evaluating the quality of observation data is imperative for the satellite mission and users. Through the comparative analysis of electron density between CSES and DEMETER satellite, Swarm constellation and international reference ionosphere (IRI) model from May 8, 2018 to December 31, 2019, it was found that the patterns of electron density for CSES are similar with those of other observations and model outputs, such as the maxima and minima nearly locating in the same place, having the ionospheric phenomena of wave number 3/4, electron density enhancements at mid‐latitude, and Weddell Sea Anomaly (WSA). The correlation coefficients are higher in the Southern Hemisphere, especially in the region of WSA. The correlation between CSES and IRI model is also better around the equatorial ionization anomaly crests during the daytime, while the correlation coefficients are low around the magnetic equator for the Ne single peak detected by CSES. Comparing the observation data in orbit during the same time, the correlation coefficients between CSES and Swarm constellation all exceed 0.75, the curves of nearby orbits exhibiting the consistent peaks or troughs around the roughly same latitudes. Nevertheless, there are systematic biases in the values between the electron density data of CSES and other observations/models, 1–2 times and over two times lower than IRI model during the nighttime and daytime, respectively. The electron density values of Swarm constellation are 3–6 times greater than those of CSES according to the data statistics of nearby orbits. We considered that both hardware design and data processing may potentially have effects on the Ne systematic biases between the CSES and other observations. Through the comparative analysis, it is concluded that the electron density observed by CSES can exhibit the ionospheric characteristics at the altitude of 507 km, and the data can be applied to the ionospheric phenomena study.
The sector coupling concept: A critical review

Pursued climate goals require reduced greenhouse gas emissions by substituting fossil fuels with energy from renewable sources in all energy‐consuming processes. On a large‐scale, this can mainly be achieved through electricity from wind and sun, which are subject to intermittency. To efficiently integrate this variable energy, a coupling of the power sector to the residential, transport, industry, and commercial/trade sector is often promoted, called sector coupling (SC). Nevertheless, our literature review indicates that SC is frequently misinterpreted and its scope varies among available research, from exclusively considering the use of excess renewable electricity to a rather holistic view of integrated energy systems, including excess heat or even biomass sources. The core objective of this article is to provide a thorough understanding of the SC concept through an analysis of its origin and its main purpose, as described in the current literature. We provide a structured categorization of SC, derived from our findings, and critically discuss its remaining challenges as well as its value for renewable energy systems. We find that SC is rooted in the increasing use of variable renewable energy sources, and its main assets are the flexibility it provides for renewable energy systems, decarbonization potential for fossil‐fuel‐based end‐consumption sectors, and consequently, reduced dependency on oil and gas extracting countries. However, the enabling technologies face great challenges in their economic feasibility because of the uncertain future development of competing solutions.
Deviation Tolerance Performance Evaluation and Experiment of Picking End Effector for Famous Tea

Accurately obtaining the posture and spatial position of tea buds through machine vision and other technologies is difficult due to the small size, different shapes, and complex growth environment of tea buds. Therefore, end effectors are prone to problems, such as picking omission and picking error. This study designs a picking end effector based on negative pressure guidance for famous tea. This end effector uses negative pressure to guide tea buds in a top-down manner, thereby correcting their posture and spatial position. Therefore, the designed end effector has deviation tolerance performance that can improve the picking success rate. The pre-experiment is designed, the tip of apical bud is referred to as the descent position, and the negative pressure range is determined to be 0.6 to 0.9 kPa. A deviation tolerance orthogonal experiment is designed. Experimental results show that various experimental factors are ranked in terms of the significance level of the effect on the average success rate, and the significance ranking is as follows: negative pressure (P) > pipe diameter (D) > descent speed (V). An evaluation method of deviation tolerance performance is presented, and the optimal experiment factor-level combination is determined as: P = 0.9 kPa, D = 34 mm, V = 20 mm/s. Within the deviation range of a 10 mm radius, the average success rate of the negative pressure guidance of the end effector is 97.36%. The designed end effector can be applied to the intelligent picking of famous tea. This study can provide a reference for the design of similar picking end effectors for famous tea.
The BOW image retrieval algorithm based on the longest common word string constraint

This paper adds the spatial and semantic relations of the "visual dictionary", the longest common visual word string constraint in the image based on the BoW model. The image is represented at the vocabulary level and the phrase level at the same time. This algorithm can better represent the content of the image, thereby improving the quality of image retrieval. Experiments verify that compared with the BoW model, the accuracy of the BoW image retrieval model based on the longest common word string constraint is well optimized.
Postural Stability and Proprioception Abnormalities in Patients with Knee Osteoarthritis

Knee osteoarthritis (OA) leads to the damage of all joint components, with consequent proprioceptive impairment leading to a decline in balance and an increase in the risk of falls. This study was aimed at assessing postural stability and proprioception in patients with knee OA, and the relation between the impairment in postural stability and proprioception with the severity of OA and functional performance. Thirty-eight patients with knee OA were recruited. OA severity was classified with the Kellgren–Lawrence score. Postural stability and proprioception were assessed in double- and single-limb stance, in open- and closed-eyes with an instrumented device. Functional performance was assessed using the Knee Score Society (KSS) and the Short Performance Physical Battery (SPPB). Relationships between variables were analyzed. Postural stability was reduced with respect to reference values in double-limb stance tests in all knee OA patients, while in single-stance only in females. Radiological OA severity, KSS-Functional score and SPPB were correlated with greater postural stability impairments in single-stance. Knee OA patients show decreased functional abilities and postural stability impairments. Proprioception seems to be impaired mostly in females. In conclusion, clinical management of patients with OA should include an ongoing assessment and training of proprioception and postural stability during rehabilitation.
Adaptation of a conventional flipped course to an online flipped format during the Covid-19 pandemic: Student learning performance and engagement

Abstract The Covid-19 outbreak has brought the whole world to a standstill, forcing schools and universities to move online immediately. The abrupt change has led to a general fear of a drop in the quality of education due to the loss of physical interaction. Against this background, the present study describes how we managed the crisis by adapting a conventional flipped course to a fully online flipped course, using the community of inquiry conceptual framework. The quantitative analyses reveal that online flipped course participants performed as well as their counterparts in the conventional flipped learning format, and that students’ interest levels remained constantly high throughout the online flipped classes. The qualitative analyses of the students’ survey and interview data suggest five key factors that promote their engagement in the online flipped classes. The findings of this study provide practical guidelines for instructors who are interested in the online flipped classroom approach.
Comparison of UAV RGB Imagery and Hyperspectral Remote-Sensing Data for Monitoring Winter Wheat Growth

Background: Although crop-growth monitoring is important for agricultural managers, it has always been a difficult research topic. However, unnamed aerial vehicles (UAVs) equipped with RGB and hyperspectral cameras can now acquire high-resolution remote-sensing images, which facilitates and accelerates such monitoring. Results: To explore the effect of monitoring a single crop-growth indicator and multiple indicators, this study combines six growth indicators (plant nitrogen content, above-ground biomass, plant water content, chlorophyll, leaf area index, and plant height) into a new comprehensive growth index (CGI). We investigate the performance of RGB imagery and hyperspectral data for monitoring crop growth based on multi-time estimation of the CGI. The CGI is estimated from the vegetation indices based on UAV hyperspectral data treated by linear, nonlinear, and multiple linear regression (MLR), partial least squares (PLSR), and random forest (RF). The results show that (1) the RGB-imagery indices red reflectance (r), the excess-red index(EXR), the vegetation atmospherically resistant index(VARI), and the modified green-red vegetation index(MGRVI) , as well as the spectral indices consisting of the linear combination index (LCI), the modified simple ratio index(MSR), the simple ratio vegetation index(SR), and the normalized difference vegetation index (NDVI)are more strongly correlated with the CGI than a single growth-monitoring indicator (2) The CGI estimation model is constructed by comparing a single RGB-imagery index and a spectral index, and the optimal RGB-imagery index corresponding to each of the four growth stage in order is r, r, r, EXR; the optimal spectral index is LCI for all four growth stages. (3) The MLR, PLSR, and RF methods are used to estimate the CGI. The MLR method produces the best estimates. (4) Finally, the CGI is more accurately estimated using the UAV hyperspectral indices than using the RGB-image indices.Conclusions: UAVs carrying RGB cameras and hyperspectral cameras have high inversion CGI accuracy and can judge the overall growth of wheat can provide a reference for monitoring the growth of wheat.
Abel: Integrating Humanoid Body, Emotions, and Time Perception to Investigate Social Interaction and Human Cognition

Humanoids have been created for assisting or replacing humans in many applications, providing encouraging results in contexts where social and emotional interaction is required, such as healthcare, education, and therapy. Bioinspiration, that has often guided the design of their bodies and minds, made them also become excellent research tools, probably the best platform by which we can model, test, and understand the human mind and behavior. Driven by the aim of creating a believable robot for interactive applications, as well as a research platform for investigating human cognition and emotion, we are constructing a new humanoid social robot: Abel. In this paper, we discussed three of the fundamental principles that motivated the design of Abel and its cognitive and emotional system: hyper-realistic humanoid aesthetics, human-inspired emotion processing, and human-like perception of time. After reporting a brief state-of-the-art on the related topics, we present the robot at its stage of development, what are the perspectives for its application, and how it could satisfy the expectations as a tool to investigate the human mind, behavior, and consciousness.