Miracle-dz/UniFAR-FTUs huggingface dataset:
Feature Extraction of High-dimensional Data Based on J-HOSVD for Cyber-Physical-Social Systems

With the further integration of Cyber-Physical-Social systems (CPSSs), there is explosive growth of the data in CPSSs. How to discover effective information or knowledge from CPSSs big data and provide support for subsequent learning tasks has become a core issue. Moreover, modern applications in CPSSs increasingly rely on the processing and analysis of high-dimensional data; the correlation and internal structure of these high-dimensional data are gradually becoming more complex, which further makes traditional machine learning algorithms a little inadequate in processing these data. In this article, we propose two general dimension reduction and feature extraction methods for high-dimensional data based on joint tensor decomposition, namely core feature extraction methods and factor feature extraction methods, which can effectively mine out the common components and hidden patterns of high-dimensional data by joint analysis while maintaining the original data structure. We also verified the effectiveness of the methods from both theoretical and practical aspects. Furthermore, we extend the two feature extraction methods to the tensor distance scenario and illustrate that the compressed features extracted by our models can keep the global information of original data well. Finally, we evaluated proposed methods on two benchmark datasets through classification tasks, and experimental results show that the low-dimensional features extracted by the proposed models have higher classification accuracy than the direct classification of the original data, which further verifies the effectiveness and robustness of our methods.
Random Noise Attenuation Based on Soft and Hard Threshold Compromise in Curvelet Domain

The random noise attenuation is a very important step in seismic data processing.According to the optimal approximation property of the second curvelet transform about smooth and second-order continuous differentiable singular function.A new threshold method of random noise attenuation is proposed based on curvelet transform.With regard to the model,the difference in curvelet domain between signal and noise is discussed and the seismic data are processed based on the proposed method.The results show that this method can not only attenuate the random noise and enhance signal to noise ratio in seismic data,but also protect the integrity of seismic data from damage.
Fact-Checking Misinformation: Eight Notes on Consensus Reality

ABSTRACT In this study we review the literature on fact-checking and the empirical evidence contending that it can correct prior knowledge and successfully debunk misinformation. We caution against the oversized expectation of policymakers that fact-checks can ward off misinformation and outline eight fundamental problems revolving around epistemology, implementation, bias, efficacy, ambiguity, objectivity, ephemerality, and criticism. We discuss these shortcomings in relation to the reorganization of the fact-checking industry as the linchpin in the fight against misinformation in the United Kingdom, United States, Malaysia, Turkey, and Brazil. The article concludes with a discussion on the extent to which fact-checking may be effective in countering the current misinformation landscape in a context where consensus reality has been super-imposed by individual reality.
Second Signatory: Hindrance to Effective Breakthrough Pain Management?

Background: Breakthrough cancer pain is defined as a transient exacerbation of pain that occurs either spontaneously, or in relation to a specific predictable or unpredictable trigger, despite relatively stable and adequately controlled background pain. Fentanyl citrate sublingual Tablet (FST) is administered to control breakthrough pain (BTP) and a ‘top-up’ dose is administered in 15 minutes if the pain does not respond. However, Nursing & Midwifery council (UK) recommends that for administration of controlled drugs (CD), a secondary signatory is required within secondary care. Aims: To establish that breakthrough analgesia is administered on an in-patient unit according to the guidance. Methods: Retrospective data was collected on patients at an adult Palliative care unit, requiring second dose of FST. Results and Analysis: Over a period of 3 months, 46 episodes of BTP requiring second dose of FST were recorded. Top-up dose was signed for at 15 minutes for only 13 (28.2%) episodes. Further 14 (30.4%) doses were signed for with 5 minutes delay (20 minutes in total from first dose). 19 (41.3%) doses were signed for after 20 minutes with a range of 25-50 minutes (10 – 35 minutes delay). Note that there will be a further delay in administering the dose. Conclusion: Majority of patients have BTP for less than 45 minutes. After reporting, it takes time to get the medication to patient. Second dose may get further delayed causing pain prolongation. This delay is due to finding second nurse to check medication. There are various solutions which could be employed to prevent this delay and to achieve effective BTP management.
Vaping Associated Pulmonary Injury

Vaping-associated pulmonary injury (VAPI) is a newly evolving medical condition caused by inhalation of substances including tetrahydrocannabinol- or nicotine-containing products via vaping. Vaping is the act of inhaling and exhaling an aerosol, which can contain fine particles that have been identified as toxic chemicals, produced by an e-cigarette or similar device. Presenting symptoms of VAPI include respiratory symptoms (dyspnea, chest pain, cough, and hypoxia), gastrointestinal symptoms (nausea, emesis, diarrhea, and abdominal pain), and constitutional symptoms (fever, chills, weight loss, and fatigue). The diagnosis and management of VAPI are being studied and it is considered a diagnosis of exclusion. Most patients are young, with male predominance, and history of vaping. The severity of presenting symptoms varies. Radiographic findings vary in severity with chest x-rays showing bilateral infiltrates, although those findings may be absent early in the disease course. Computed tomography of the chest can show bilateral ground-glass opacities with pleural effusions and pneumomediastinum. Management of VAPI is based upon clinical presentation with empiric antibiotics for CAP coverage and steroids if indicated for reducing lung inflammation.
Design for the Smart Portable Terminal in Broad-sense Supply Chain Based on RFID

Combined the RFID technology and ubiquitous computing technology,and applied it in the broad-sense supply chain.We researched the architecture of broad-sense supply chain,especially the terminal techniques in the architecture.With the application background of museum guiding,we had designed a terminal with the following functions:active service,passive service,RFID tags reading command.It integrated the following modules:embedded WLAN(wireless local area network),wireless real-time speech transmission,RFID tags reading module.The terminal design was based on the ARM MCU(microprocessor control unit) and embedded Linux technology.The accomplishment of this terminal is a important step in the construction of the whole system architecture.
Can Artificial Intelligence be Used to Improve Productivity by Automating Elements of the User Experience Design Processes?

Artificial Intelligence (AI) has many advantages over humans in that it can detect incredibly subtle patterns within large quantities of data. This study suggests using AI algorithms in user research tasks for mining variables ranging from the tone of voice, image banks, historical records, and product use to determine where brands sit and where there could be competitive advantages. This study reviews the current design processes of User Experience (UX) designers and the advancements in Deep Learning (DL). It identifies potential areas of automation in the Preparation, Incubation and Illumination stages of the design process. It recognises the possibility of using Long Short-Term Memory (LSTM) models to automate design feedback and the creation of alternate designs with Generative Adversarial Networks (GANs).
Rationale and Design of the Emory Healthy Kitchen Collaborative: A 12-month Culinary-Based Lifestyle Program

Objective: To present the rationale and design of a comprehensive teaching kitchen-based worksite wellness clinical trial designed to improve health behaviors and chronic disease outcomes of employees through self-efficacy development. Design: The Emory Healthy Kitchen Collaborative (EHKC) was a 12-month multidisciplinary, skill-building program that began with a 10-week interactive curriculum followed by continued support and access to health coaching. The self-care curriculum combined didactic, experiential, and group learning in nutrition, culinary arts, exercise, yoga, mindful eating, stress resilience, and ethnobotany. Setting: Emory University Hospital, part of the largest academic health system in Atlanta, Georgia. Participants: Forty benefits-eligible employees, with preference given to those with elevated body mass index, co-morbid conditions, and high levels of motivation for lifestyle change. Results: Data was collected for evaluation of the interactive curriculum in increasing knowledge, skills, and self-efficacy; feasibility of the program; and changes in health behaviors (through self-assessment surveys) and health outcomes (body composition and blood pressure). Future analysis will include comparative statistics and chi-square tests which will be used to measure intermediate (3- and 6- month) and longer-term (1 year) changes in each quantitative variable. We will use qualitative data analysis on free-form participant feedback data. Conclusions: We believe our multidisciplinary, skill-building, teaching kitchen intervention is an innovative model for promoting salubrious health behaviors and a culture of health in worksites. This pilot will allow for a thorough assessment of the value of this type of program to employers and employees alike and seeks to aid in development and standardization of future culinary-based comprehensive lifestyle disease prevention and health promotion programs.
Multi-Script Video Caption Localization Based on Visual Rhythms

ABSTRACT Localization of video caption plays an important role in information retrieval in multimedia applications. In this work, we present and evaluate a novel method for localizing video captions using visual rhythms, which enable the representation and analysis of a specific feature throughout the time. We build visual rhythms from the text location maps produced by general text localization methods that are far more common in the literature than caption-oriented ones. Then, we process the maps properly to keep only the captions, generating caption localization masks. To meet the need for a standardized and large dataset, we constructed a new one, where captions with thirteen different scripts are added to the video frames, generating a total of 221 videos with ground truth. Experiments demonstrate that our method achieves competitive results when compared to other literature approaches.
Assessing the Influence of Electrode Polarity on the Treatment of Poultry Slaughterhouse Wastewater

Electrochemical methods have been increasingly gaining popularity in the field of wastewater treatment. However, the performance of these methods can be highly affected by the polarity direction as determined by the electrodes arrangement (anode to cathode or cathode to anode); as well as the characteristics of the wastewater to be treated as determined by the type of wastewater. The presented research work investigated the relationship between polarity direction and the removal of pollutants from poultry slaughterhouse wastewater using titanium and aluminium electrode materials. In the first case, the wastewater was exposed to the Ti (anode)-Al (cathode) combination, whereas in the second case the wastewater was subjected to the Al (anode)-Ti (cathode) arrangement. The two cases were designed to see if the polarity direction of the chosen electrode materials affected the removal of pollutants. The removal efficiencies were computed as a ratio of the remaining concentration in the treated effluent to the concentration before treatment. It was observed that the production processes generate highly fluctuating wastewater in terms of pollution loading; for instance, 422 to 5340 Pt-Co (minimum to maximum) were recorded from color, 126 to 2264 mg/L were recorded from total dissolved solids, and 358 to 5998 mg/L from chemical oxygen demand. Also, the research results after 40 min of retention time showed that both electrode arrangements achieved relatively high removal efficiencies; Whereby, the aluminium to titanium polarity achieved up to 100% removal efficiency from turbidity while the titanium to aluminium polarity achieved a maximum of 99.95% removal efficiency from turbidty. Also, a similar phenomenon was observed from total dissolved solids; whereby, on average 0 mg/L was achieved when the wastewater was purified using the aluminium to titanium arrangement, while on average 2 mg/L was achieved from the titanium to aluminium arrangement. A little higher removal efficiency discrepancy was observed from ammonia; whereby, the aluminium to titanium arrangement outperformed the titanium to aluminium arrangement with average removal efficiencies of 82.27% and 64.11%, respectively.
Greenhouse area detection in Guanzhong Plain, Shaanxi, China: spatio-temporal change and suitability classification

ABSTRACT The extensive use of greenhouses has brought soared economic benefits for farming practitioners in China and an overview of the spatio-temporal distribution of greenhouses is of great interest to agricultural practitioners and decision-makers. In this study, Landsat image based greenhouse maps in Guanzhong Plain, Shaanxi, China were made using random forest classification algorithm through visual interpretation on the Google Earth Engine. The 7-year's changes in greenhouse areas were investigated (i.e. 2000, 2003, 2006, 2010, 2013, 2015 and 2019) with yearly overall accuracy more than 90%. The results showed that the total area of greenhouses in Guanzhong Plain demonstrated an increasing trend, from 5.92 km2 in 2000 to 194.42 km2 in 2019 with a considerable growth between 2010 and 2015. The dominant drivers for the increase are largely attributed to the government policy as well as economic profitability. The distribution of greenhouse shifts to central and eastern regions of Guanzhong Plain. Greenhouses preferentially expand to the area near to rural roads, main rivers, and high elevation, with more than 45% greenhouses distributed within 1 km of the county rural road. The principal component analysis based suitability evaluation showed that a total of 38.44% of the area was suitable for greenhouse.
Wireless Humidity Sensor for Smart Packaging via One‐step Laser‐Induced Patterning and Nanoparticle Formation on Metallized Paper

In this work, a scalable and rapid process is developed for creating a low‐cost humidity sensor for wireless monitoring of moisture levels within packaged goods. The sensor comprises a moisture‐sensitive interdigitated capacitor connected to a planar spiral coil, forming an LC circuit whose resonant frequency is a function of environmental humidity. The sensor is fabricated on a commercially available metallized parchment paper through selective laser ablation of the laminated aluminum (Al) film on the parchment paper substrate. The laser ablation process provides a unique one‐step patterning of the conductive Al layer on the paper while simultaneously creating high surface area Al2O3 nanoparticles within the laser‐ablated regions. The intrinsic humidity‐responsive characteristics of the laser‐induced Al2O3 nanostructures provide the wireless sensor with a tenfold higher sensitivity to humidity than a similar LC resonant sensor prepared by conventional photolithography‐based processes on FR‐4 substrates. The frequency change of the sensor is observed to be a linear function within the range of 0−85% RH, providing an average sensitivity of −87 kHz RH−1 with good repeatability and stable performance. Furthermore, the employment of scalable laser fabrication processes using commercially available inexpensive materials renders these technologies viable for roll‐to‐roll manufacturing of low‐cost wireless sensors for smart packaging applications.
Stress Detection During Motor Activity: Comparing Neurophysiological Indices in Older Adults

The effects of cognitive stress are complex and multi-dimensional with nuanced neural and physiological representations across our lifespan. Chronic and instantaneous stressors are known to alter both executive function and motor performance — a particularly challenging prospect for older adults. Age, sex, and motor activity are critical yet under-represented dimensions in the domain of stress detection. Through the present work, we explore a subset of these variables and the relevance of brain hemodynamics and heart rate variability (HR/V) as biomarkers of stress in an aging population. We rely on a multimodal, sex-balanced, motor-stress data set (N = 59) and an exhaustive machine learning workflow to operationalize the unique neurophysiological states that form the human stress response. We found that a quadratic discriminant was sufficient to separate the two states across feature, demographic, and activity variables. We report a stress detection accuracy between <inline-formula><tex-math notation="LaTeX">$78-98\%$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>78</mml:mn><mml:mo>-</mml:mo><mml:mn>98</mml:mn><mml:mo>%</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="karthikeyan-ieq1-3148234.gif"/></alternatives></inline-formula> when using models trained independently on each feature-set. However, these models were highly sensitive to sex, and activity differences — with distinct regions, and features implicated in stress recognition. Both HR/V and fNIRS based features were excellent indices of cognitive stress, however neither generalized to a degree beneficial toward operational use. Our observations underscore the importance of task-context, age, and sex as factors in modeling stress detection tools for older adults.
Towards Metaheuristic Scheduling Techniques in Cloud and Fog: An Extensive Taxonomic Review

Task scheduling is a critical issue in distributed computing environments like cloud and fog. The objective is to provide an optimal distribution of tasks among the resources. Several research initiatives to use metaheuristic techniques for finding near-optimal solutions to task scheduling problems are under way. This study presents a comprehensive taxonomic review and analysis of recent metaheuristic scheduling techniques using exhaustive evaluation criteria in the cloud and fog environment. A taxonomy of metaheuristic scheduling algorithms is presented. Besides, we have considered an extensive list of scheduling objectives along with their associated metrics. Rigorous evaluation of existing literature is performed, and limitations highlighted. We have also focused on hybrid algorithms as they tend to improve scheduling performance. We believe that this work will encourage researchers to conduct further research for removing the limitations in existing studies.
Quinagolide Treatment Reduces Invasive and Angiogenic Properties of Endometrial Mesenchymal Stromal Cells

Endometrial mesenchymal stromal cells (E-MSCs) extensively contribute to the establishment and progression of endometrial ectopic lesions through formation of the stromal vascular tissue, and support to its growth and vascularization. As E-MSCs lack oestrogen receptors, endometriosis eradication cannot be achieved by hormone-based pharmacological approaches. Quinagolide is a non-ergot-derived dopamine receptor 2 agonist reported to display therapeutic effects in in vivo models of endometriosis. In the present study, we isolated E-MSCs from eutopic endometrial tissue and from ovarian and peritoneal endometriotic lesions, and we tested the effect of quinagolide on their proliferation and matrix invasion ability. Moreover, the effect of quinagolide on E-MSC endothelial differentiation was assessed in an endothelial co-culture model of angiogenesis. E-MSC lines expressed dopamine receptor 2, with higher expression in ectopic than eutopic ones. Quinagolide inhibited the invasive properties of E-MSCs, but not their proliferation, and limited their endothelial differentiation. The abrogation of the observed effects by spiperone, a dopamine receptor antagonist, confirmed specific dopamine receptor activation. At variance, no involvement of VEGFR2 inhibition was observed. Moreover, dopamine receptor 2 activation led to downregulation of AKT and its phosphorylation. Of interest, several effects were more prominent on ectopic E-MSCs with respect to eutopic lines. Together with the reported effects on endometrial and endothelial cells, the observed inhibition of E-MSCs may increase the rationale for quinagolide in endometriosis treatment.
A Journey Toward the Convergence of Robotics and Life Sciences

T he IEEE1872.2 Autonomous Robotics (AuR) Ontology Working Group has recently developed the AuR ontology standard. This standard is a logical extension to IEEE 1872–2015 Standard Ontologies for Robotics and Au ­ tomation, core ontology or robotics and automation (CORA) [1]. The standard extends the CORA ontology by defining ad ditional ontologies appropriate for AuR relating to: 1) the core design patterns specific to AuR in common Robotics and Au­ tomation (R&A) subdomains 2) general ontological concepts and domain­specific axioms for AuR 3) general use cases and/or case stud­ ies for AuR. This standard ontology specifies the domain knowledge needed to build autonomous systems consisting of robots that can operate in all classes of unstructured environments. The stan­ dard provides a unified way of repre­ senting AuR system architectures across different R&A domains, including, but not limited to, aerial, ground, surface, underwater, and space robots. This allows unambiguous identification of the basic hardware and software com­ ponents necessary to provide a robot, or a group of robots, with autonomy (i.e., endow robots with the ability to per­ form desired tasks in unstructured envi­ ronments without continuous explicit human guidance). The stakeholders for the standard include robot designers and builders; robotics researchers; robot industry experts; robot users; and policy makers. Working group members are from a cross­section of industry, academia, and government that represents over 20 countries and six continents. The group has organized weekly teleconference meetings from 2011. The official kickoff meeting on AuR took place at the IEEE International Symposium on Robot and Human Interactive Communication, Lisbon, Portugal, in September 2017. Since then, the working group has reached the following milestones: 1) development of standard vocabu­ laries 2) development of a functional ontol­ ogy for R&A 3) checking/validation of relationship using functions as a basis for rela­ tionship checking 4) using AuR ontology for conceptual design of robotic applications.