Miracle-dz/UniFAR-FTUs huggingface dataset:
NLP-Based Subject with Emotions Joint Analytics for Epidemic Articles

For the last couple years, governments and health authorities worldwide have been focused on addressing the Covid-19 pandemic;for example, governments have implemented countermeasures, such as quarantining, pushing vaccine shots to minimize local spread, investigating and analyzing the virus? characteristics, and conducting epidemiological investigations through patient management and tracers. Therefore, researchers worldwide require funding to achieve these goals. Furthermore, there is a need for documentation to investigate and trace disease characteristics. However, it is time consuming and resource intensive to work with documents comprising many types of unstructured data. Therefore, in this study, natural language processing technology is used to automatically classify these documents. Currently used statistical methods include data cleansing, query modification, sentiment analysis, and clustering. However, owing to limitations with respect to the data, it is necessary to understand how to perform data analysis suitable for medical documents. To solve this problem, this study proposes a robust in-depth mixed with subject and emotion model comprising three modules. The first is a subject and non-linear emotional module, which extracts topics from the data and supplements them with emotional figures. The second is a subject with singular value decomposition in the emotion model, which is a dimensional decomposition module that uses subject analysis and an emotion model. The third involves embedding with singular value decomposition using an emotion module, which is a dimensional decomposition method that uses emotion learning. The accuracy and other model measurements, such as the F1, area under the curve, and recall are evaluated based on an article on Middle East respiratory syndrome. A high F1 score of approximately 91% is achieved. The proposed joint analysis method is expected to provide a better synergistic effect in the dataset.
A Cloud-Based On-Line Disaggregation Algorithm for Home Appliance Loads

In this paper, we address the problem of providing fast and on-line households appliance load detection in a non-intrusive way from aggregate electric energy consumption data. Enabling on-line load detection is a relevant research problem as it can unlock new grid services such as demand-side management and raises interactivity in energy awareness possibly leading to more green behaviors. To this purpose, we propose an on-line-non-intrusive load monitoring machine learning algorithm combining two methodologies: 1) unsupervised event-based profiling and 2) Markov chain appliance load modeling. The event-based part performs event detection through contiguous and transient data segments, events clustering and matching. The resulting features are used to build household-specific appliance models from generic appliance models. Disaggregation is then performed on-line using an additive factorial hidden Markov model from the generated appliance model parameters. Our solution is implemented on the cloud and tested with public benchmark datasets. Accuracy results are presented and compared with literature solutions, showing that the proposed solution achieves on-line detection with comparable detection performance with respect to non on-line approaches.
Enhancing Users’ Perceived Significance of Academic Library with MOOC Services

Objective – Academic libraries have been impacted by the tremendous changes taking place in higher education due to the arrival of the internet and web-based technologies. Several articles have shown the decline in library usage and user need for electronic resources. The entry of MOOCs into higher education has repurposed the library’s roles and services. This research aims to explore the possible MOOC services of academic libraries and their effect on the user perception towards the significance of academic libraries. Methods – The academic library’s MOOC services are derived from the extensive literature review and subsequently a research model based on extant literature has been developed to evaluate user behaviour. The research model is evaluated using confirmatory factor analysis methods. Results – The academic library’s services for MOOCs have been categorized as, (a) user support services, (b) information services, and (c) infrastructure services. The study shows that each of these service categories have a positive impact on the library usage intention of the users. This in turn has a positive effect on the library’s perceived significance. Conclusion – The library services for MOOC users defined in this research and the findings are useful for librarians to develop new service strategies to stay relevant for the user.
Outcome of Delayed Administration of Alteplase in a Resource-Poor Area: A Case Report

An acute ischemic stroke, though carrying the risk of debilitating complications, is a preventable and treatable disease. Thrombolysis and endovascular thrombectomy are important components of its management. However, various challenges in resource-poor countries like Nigeria and other developing nations pose a great limitation in the timely intervention of ischemic stroke treatment. The challenges include late presentation, poor awareness of stroke symptoms even among health care workers, poor ambulance service/transportation network, intra-hospital delay, particularly in neuroimaging, and the unavailability of tissue plasminogen activator (alteplase/tenecteplase). We report a 32-year-old African man with an antecedent history of suspected migraine headaches with aura and a family history of hypertension and stroke, admitted 7½ hours after onset of stroke symptoms, scoring 13 on the National Institutes of Health Stroke Scale (NIHSS) with Medical Research Council (MRC) muscle power grades 1 and 3 on the right upper and lower extremities, respectively. Urgent non-contrast brain CT revealed only a hyperdense sign in the left middle cerebral artery (MCA). Intravenous tissue plasminogen activator (tPA) was administered at a lower dose of 0.6 mg/kg, 15½ hours after symptom onset, and a CT angiogram done 24 hours post-thrombolysis showed partial recanalization of the M1 segment of the MCA and intermediate collateral supply (Alberta stroke program early CT {ASPECT} score: 6). By the third day of admission, he had made a significant clinical improvement and was discharged home able to walk unsupported on the fourth day.
Automatic control system of the evaporator in the technology of spent nuclear fuel processing

The operation of the radiochemical plant is impossible without high-quality automatic control systems. In the technologies of spent nuclear fuel reprocessing, the method of continuous evaporation is often used for a solution conditioning. The effective continuous technological process will depend on the operation of the evaporation equipment. In this paper, the method of mathematic simulation is applied for the development and research of evaporator control system. Two systems were considered. Parameters of regulators were calculated and direct quality indicators were presented. As a result, an automatic control system with the low sensitivity of the system to the density variation was chosen.
Dissipation Factor as a Degradation Indicator for Electrolytic Capacitors

Capacitors are one of the most critical components in power electronic converters, yet they are notoriously susceptible to failure. Avoiding unforeseen outages caused by capacitor failures is one of the most effective approaches to increase system availability. Therefore, a variety of methods have been proposed to monitor a capacitor health condition based on different degradation indicators. This article proposes a new approach based on the accurate measurement of an electrolytic capacitor dissipation factor (DF) to detect its end-of-life. Since the DF is affected by both the capacitor resistance and capacitance simultaneously, it can provide more information about the health condition of the capacitor. To employ the DF as an aging indicator, beyond its accurate measurement, it must be possible to establish an end-of-life criterion and investigate the effect of other environmental factors. Therefore, increasing the frequency of the DF measurement has been suggested as a solution to minimize the effect of the angle measurement error, for which an optimal frequency range has been calculated. In the following, several electrolytic capacitors are subjected to a laboratory study to investigate the effects of capacitor aging, temperature, and measurement frequency on the DF. According to the obtained results, changes in the capacitor resistance dominate the DF, thereby enabling the same end-of-life criterion to be applied for monitoring a capacitor condition.
A Logarithmic Level-Crossing ADC with Fixed Comparison Window

This paper describes the design and realization of a logarithmic level-crossing analog-to-digital converter with fixed comparison window. The proposed circuit comprises two comparators, a logarithmic charge-sharing digital-to-analog converter, a control logic circuit, and an up/down counter. The circuit is designed and simulated with process parameters from a 0.18 μm CMOS technology and a 1.8 V power supply voltage. Simulation results showed that the overall circuit exhibited the minimum resolution of 3.9mV and the maximum INL and DNL errors of -0.17LSB and -0.09LSB, respectively.
The complete chloroplast genome sequence of Urtica fissa

Abstract Urtica fissa E. Pritz is not only an important medicinal plant for rheumatism and cough relief, but it is also an important forage plant. In this study, the complete chloroplast genome of U. fissa was assembled for the first time and reported to be 146,837 base pairs (bp) long with a typical tetragonal structure and including a large single-copy of 79,657 bp, a small single-copy of 17,712 bp, and two inverted repeats of 24,734 bp each. It harbors 115 unique genes, including 70 protein-coding genes, 38 transfer RNA genes, and 7 ribosomal RNA genes. Phylogenetic analysis showed that U. fissa is closely related to Urtica lobatifolia. This study contributes to the understanding of the origin and evolution of U. fissa, as well as its genetic relationships with other species.
Application of Metal-Based Nanozymes in Inflammatory Disease: A Review

Reactive oxygen species (ROS) are metabolites of normal cells in organisms, and normal levels of ROS in cells are essential for maintaining cell signaling and other intracellular functions. However, excessive inflammation and ischemia-reperfusion can cause an imbalance of tissue redox balance, and oxidative stress occurs in a tissue, resulting in a large amount of ROS, causing direct tissue damage. The production of many diseases is associated with excess ROS, such as stroke, sepsis, Alzheimer’s disease, and Parkinson’s disease. With the rapid development of nanomedicine, nanomaterials have been widely used to effectively treat various inflammatory diseases due to their superior physical and chemical properties. In this review, we summarize the application of some representative metal-based nanozymes in inflammatory diseases. In addition, we discuss the application of various novel nanomaterials for different therapies and the prospects of using nanoparticles (NPs) as biomedical materials. Graphical Abstract
Benchmark Study of Ship Model Resistance Test

A benchmark test will insure that the equipment, procedures, and uncertainty estimates are adequate. The experiments of a well-known bulk carrier bare hull shape (the model LHI-007) has been set up and conducted at towing tank Indonesian Hydrodynamic Labotatory. The aim of the present study is to contribute data of the surface ship resistance model-scale database in calm water on one hand, and on the other – reliable Experimental Fluid Dynamics (EFD) data, as part of an internal benchmark test. Conclusions are made with regard to the available data and past uses and recommendations are provided for future uses of the available data and future data procurement.
Metodología para medir la confiabilidad en líneas de ensamble

La medición es un aspecto clave para evaluar el resultado de cualquier proceso. Las líneas de ensamble deben medirse considerando la confiabilidad tanto del producto como del proceso de producción. El propósito de este estudio fue desarrollar una metodología que permitiera conocer el estado de una línea de ensamble y que integrara un modelo de medición para obtener un índice de confiabilidad para una línea de este tipo de la industria automotriz. Los dos productos resultantes de este estudio fueron la metodología con su estructura en etapas y el modelo matemático. La metodología está compuesta de cinco etapas y el modelo de cuatro elementos. La confiabilidad pudo ser calculada para una línea de ensamble de la industria automotriz haciendo uso de la media de la distribución de mejor ajuste. Lo anterior permitió detectar el índice que más afectó a la confiabilidad general. El índice que más afectó al valor de confiabilidad general fue el de disponibilidad con 75.55 %, seguido del índice de eficiencia con 87.25 %, continuando con el índice de calidad con 90.15 % y, por último, con el menor efecto, está el índice de capacidad de entrega con 97.75 %.
Calculating Array Patterns Using an Active Element Pattern Method with Ground Edge Effects

The array patterns of a patch array antenna were calculated using an active element pattern (AEP) method that considers ground edge effects. The classical equivalent radiation model of the patch antenna, which is characterized by two radiating slots, was adopted, and the AEPs that include mutual coupling were precisely calculated using full-wave simulated S-parameters. To improve the accuracy of the calculation, the edge diffraction of a ground plane was incorporated into AEP using the uniform geometrical theory of diffraction. The array patterns were then calculated on the basis of the computed AEPs. The array patterns obtained through the conventional AEP approach and the AEP method that takes ground edge effects into account were compared with the findings derived through full-wave simulations conducted using a High Frequency Structure Simulator (HFSS) and FEKO software. Results showed that the array patterns calculated using the proposed AEP method are more accurate than those derived using the conventional AEP technique, especially under a small number of array elements or under increased steering angles.
Design and analysis of a system to block reverse flow of blood in intravenous line

In all hospitals and clinics, intravenous (IV) treatment is a standard way of primary treatment. The IV treatment has one disadvantage: the reverse flow of blood flows back into the intravenous tube. Reverse flow is caused by a pressure difference between the intravenous line and the bodily blood flow. To cope with this issue, hospitals regularly monitor the fluid level present in the intravenous line. Even though they check the level constantly, some cases may miss out. So the only way to solve this problem is though blocking the reverse flow. Although several computerized systems have advanced to make the tracking of intravenous infusion easy for both hospitals and clinics, there is no system to block the reverse flow. In this paper, we propose a servomotor-controlled locking gadget to prevent the backflow of blood by using a non-contact liquid level sensor and a microprocessor. It is easy and affordable, making it available even in less market area places.
Physical and Numerical Investigation of Cavitating Flow-Induced Vibration of a Flexible Hydrofoil

The objective of this paper is to investigate the flow-induced vibration of a flexible hydrofoil in cavitating flows via combined experimental and numerical studies. The experiments are presented for the modified NACA66 hydrofoil made of POM Polyacetate in the closed-loop cavitation tunnel and the numerical investigations are performed using a hybrid coupled fluid structure interaction model. The results showed that with the decreasing of cavitation number, the vibration magnitude increases dramatically for the cloud cavitation and declines for the supercavitation. The cloud cavitation development strongly affects the vibration response, with the main frequency of the vibration being accordance with the cavity shedding frequency and other two frequencies corresponding to the bending and twisting frequencies.
Problematizing infrastructural “fixes”: critical perspectives on technocratic approaches to Green Infrastructure

ABSTRACT This paper analyzes the concept of Green Infrastructure (GI) in urban context, challenging the extent to which it can support a transition towards more socially inclusive forms of urban governance. It builds on the argument that the false promise of “win-wins” in the conceptualization of urban greening participates in the creation of blind spots in practice. Using the case of São Paulo, we bring attention to techno-managerial patterns within top-down governance structures. A political ecology lens helps to analyze power relations at play in the context of a linear park project implemented in an informal settlement. It reveals how current urban governance structures create barriers to the practice of GI, notably because projects often remain incomplete, but also because participatory processes often remain limited. The practice of GI normalized as a technical-rational endeavor leaves limited space for “non-expert” knowledge. Complex settings where intertwined socio-environmental issues cause conflicts over space demand equally complex efforts that go beyond infrastructural “fixes”. To support the institutionalization of GI, a fuller and grounded “translation” process of the concept needs to be supported by forms of urban expertise centered on communities’ needs and local dynamics. We argue that only then will GI support the democratization of urban planning.
Impact of Forest Fuels on Gas Emissions in Coal Slurry Fuel Combustion

Anthropogenic emissions from coal combustion pose a serious threat to human wellbeing. One prospective way to solve this problem is by using slurry fuels instead of coal. The problem is especially pressing in China and Russia, so these countries need reliable experimental data on the SOx and NOx emissions reduction range more than others do. The experiments in this research are based on the components that are typical of Russia. Experimental research was conducted on the way typical forest fuels (ground pine needles, leaves and their mixtures, bark, sawdust, and charcoal) affect the gas emissions from the combustion of slurry fuels based on the wastes. It was established that using forest fuels as additives to coal-water slurries reduces SOx and NOx emissions by 5–91% as compared to coal or to slurries based on used turbine oil. It was revealed that even small concentrations of such additives (7–15%) could result in a several-fold reduction in SOx and NOx. The higher the temperature, the more prominent the role of forest biomass. The calculated complex criterion illustrates that forest fuels increase the performance indicator of fuel suspensions by 1.2–10 times.
Multimodal sentiment analysis of human speech using deep learning

Communication is the exchange of thoughts, ideas and feelings through emotion. In this paper we have proposed a method where human speech is converted into digital input. The digitized sound is fed into the proposed models and the voice of every person is classified into discrete emotional characteristics by its intensity, pitch, timbre, speech rate and pauses. In the proposed method, authors have applied multi scale area attention in a deep 2D-CNN connected to dense DNN to obtain emotional characteristics with wide range of granularities and therefore the classifier can predict a wide range of emotions on a broad scale classification.
Influence of infill configurations on seismic responses of steel self‐centering moment resisting frames

Steel self‐centering moment resisting frames (SC‐MRFs) have been validated experimentally as resilient structural systems, mainly highlighting the minimized residual drift responses but are prone to suffering high‐mode effects. In this paper, the influence of infill configurations on seismic responses of steel SC‐MRFs was first analyzed. A comparison of the previous experimental results was conducted to investigate the effect of infills on the residual drift of steel frames. In the numerical simulation, the infills were modeled as the equivalent strut diagonals, and the force–displacement of the infills was modeled using the combination of Elastic‐No Tension Material and Hysteretic Material offered by the OpenSees program. The seismic analyses of 3‐ and 9‐story SC‐MRFs with and without infills were carried out to analyze the effects of infills on the residual drift responses and high‐mode contribution under the selected ground motions. Finally, the different infill types and infill irregularities on the seismic responses were investigated to obtain general conclusions. The plastic deformations of columns and infills are also compared in the different cases of infill configurations. The results reveal that all infilled cases experience reduced peak‐story drift and force demands at the upper stories.
Sequential chemotherapy and icotinib as first-line treatment for advanced epidermal growth factor receptor-mutated non-small cell lung cancer

BACKGROUND Icotinib could have potential effect and tolerability when used sequentially with chemotherapy for advanced epidermal growth factor receptor (EGFR)-mutated non-small cell lung cancer (NSCLC). AIM To evaluate the efficacy and safety of chemotherapy followed by icotinib maintenance therapy as first-line treatment for advanced EGFR-mutated NSCLC. METHODS This multicenter, open-label, pilot randomized controlled trial enrolled 68 EGFR-mutated stage IIIB/IV NSCLC patients randomized 2:3 to the icotinib alone and chemotherapy + icotinib groups. RESULTS The median progression-free survival in the icotinib alone and chemotherapy + icotinib groups was 8.0 mo (95%CI: 3.84-11.63) and 13.4 mo (95%CI: 10.18-16.33), respectively (P = 0.0249). No significant differences were found in the curative effect when considering different cycles of chemotherapy or chemotherapy regimen (all P > 0.05). CONCLUSION A sequential combination of chemotherapy and EGFR-tyrosine kinase inhibitor is feasible for stage IV EGFR-mutated NSCLC patients.
Data Rectification and Detection of Trend Shifts in Jet Engine Path Measurements Using Median Filters and Fuzzy Logic

Filtering methods are explored for removing noise from data while preserving sharp edges that many indicate a trend shift in gas turbine measurements. Linear filters are found to be have problems with removing noise while preserving features in the signal. The nonlinear hybrid median filter is found to accurately reproduce the root signal from noisy data. Simulated faulty data and fault-free gas path measurement data are passed through median filters and health residuals for the data set are created. The health residual is a scalar norm of the gas path measurement deltas and is used to partition the faulty engine from the healthy engine using fuzzy sets. The fuzzy detection system is developed and tested with noisy data and with filtered data. It is found from tests with simulated fault-free and faulty data that fuzzy trend shift detection based on filtered data is very accurate with no false alarms and negligible missed alarms.