Miracle-dz/UniFAR-FTUs huggingface dataset:
DOMAIN ONTOLOGY DEVELOPMENT FOR CONDITION MONITORING SYSTEM OF INDUSTRIAL CONTROL EQUIPMENT AND DEVICES

Context. Modern intelligent systems of failure identification of control equipment and devices in food industry are based on a complexation of approaches implemented on various methods and algorithms. The feature of such systems is that within them operates a large amount of heterogeneous data and knowledge that are difficult to combine. The use of ontologies of different levels in the system development process solves this problem. Objective. Domain ontology development for equipment condition monitoring system as a basis for designing intelligent decision support system with ontology knowledge base. Methods. There are different ontology development approaches. They may differ in the quantity of levels and types of ontologies or be a combination of subject and problem domains ontologies depending on the complexity of the problem and the chosen ontology development method. This paper represents two levels of the three-level ontology being developed for intelligent condition monitoring system of control equipment and devices. The upper level is represented by top-level ontology Basic Formal Ontology (BFO) which provides systematization of the meta-level, including temporal part. International standards and technical reports such as IEC 62890, ISO 55000, ISA 95, ISA 106, IEC 62264, ISO 10303-242: 2020 are considered in the development process of the second ontology level – Domain ontology. Results. The article provides Domain ontology for equipment condition monitoring system in food industry. The developed Domain ontology systematizes, structures engineering knowledge and uses BFO which provides a set of basic elements at the metalevel. They set the values of the following entities: type of production, methods of failure identification, causes, failures, events, equipment, etc. The developed Domain ontology has semantic cross-links. A fragment of the Domain ontology relationships for the “Control equipment” subclass of “Equipment” class is also presented in the paper. Conclusions. The developed ontology can be used to analyze the knowledge base on the causes, locations and types of failures and their identification methods. The developed ontology is a basis for application ontology development.
Evaluation of Chemical Oxygen Demand and Color Removal from Leachate Using Coagulation/Flocculation Combined with Advanced Oxidation Process

Background: One of the basic practices in the field of waste management is the collection and treatment of leachate. Leachate from municipal waste due to high chemical oxygen demand (COD) and dark color is a potential pollutant of the environment, which causes a lot of problems in the absence of treatment and direct discharge to the environment. This study aimed to determine the efficiency of ultrasonic process in combination with coagulation and flocculation process using sodium ferrate in COD and color reduction. Materials and Methods: In this experimental study, all experiments were performed in batch conditions and with changing process variables such as pH and sonication time, and the effect of three parameters, including ultrasonic reaction time (15, 30, and 45 min), pH (2, 4, 5/5, and 7), and coagulant dosage (from 1 to 150 g/l) on the COD reduction and color removal, was evaluated. Coagulant concentration and then the removal efficiency of COD and color were analyzed by ANOVA using SPSS 18. Results: The COD reduction and color removal were 87.05% and 88.6% in optimal condition (using 120 g/L of sodium ferrate at pH 5.5), with coagulation/flocculation, after ultrasound (15 min). Ultrasound (15 min) + sodium ferrate (without coagulation/flocculation) achieved 46.25% of COD reduction and 90.35% of color elimination, whereas the ultrasonic process alone allowed removing the COD and color in the leachate by less than 50%. Conclusion: The results indicate that C–F followed by ultrasonic can be used to efficiently reduce the organic matter and color from municipal waste leachate, and it would be an ideal option for leachate treatment.
Melding Fog Computing and IoT for Deploying Secure, Response-Capable Healthcare Services in 5G and Beyond

The fifth generation (5G) of mobile networks is designed to mark the beginning of the hyper-connected society through a broad set of novel features and disruptive characteristics, delivering massive connectivity, coverage and availability paired with unprecedented speed, throughput and capacity. Such a highly capable networking paradigm, facilitated by its integrated segments and available subsystems, will propel numerous cutting-edge, innovative and versatile services, spanning every possible business vertical. Augmented, response-capable healthcare services have already been identified as one of the prime objectives of both vendors and customers; therefore, addressing controversies and shortcomings related to the specific field is considered a priority for all stakeholders. The scope of this paper is to present the architectural elements of 5G which enable efficient, remote healthcare services along with emergency health monitoring and response capability. In addition, we propose a holistic scheme based on technical enablers such as Internet-of-Things (IoT) and Fog Computing, for mitigating common issues and current limitations which may compromise the proclaimed service delivery.
Design and analysis of the link mechanism for the flapping wing MAV using flexible multi-body dynamic analysis

Recently, there has been an increase in the research on flapping wing vehicles which mimic biological motions. One result has been the flapping wing micro-aerial vehicle. In this paper, the design requirements for flapping wing micro-aerial vehicles were established through an analysis with the unsteady blade element theory. Then, based on the flapping wing micro-aerial vehicle design requirements, a flapping wing mechanism using a pair of six-bar linkage was devised. Moreover, several candidates for the present mechanism were analyzed using a flexible multi-body dynamic analysis to ensure the structural appropriateness of the mechanism. By completing such procedures, the performance of the present mechanism could be evaluated. A detailed design was then conducted. The structural analysis of the present mechanism was conducted regarding its flapping operation in a vacuum. The resulting von Mises stresses in the linkage were targeted to be smaller than the yield stresses of the chosen material. Next, additional details of the design and an experiment on the present flapping wing micro-aerial vehicle were conducted to validate its performance.
Low temperature conditioning improves American eggplant (Solanum melongena L.) storage compatibility

ABSTRACT Low-temperature conditioning (LTC) has been reported to effectively control post-harvest chilling injury (CI). Conspicuously, it has not been widely adopted by the industry. This is in part related to an incomplete understanding of the factors governing the treatment's efficacy and consistency along genotypes and maturities. Herein, we evaluated the effect of fruit type (striped and purple) and harvest maturity (baby and large) on the effectiveness of LTC (10°C for 2 days) to control eggplant CI. Purple eggplants showed a strong increase in chilling susceptibility between the baby and large maturity stages. In contrast, striped fruit evidenced no major changes in chilling susceptibility along maturation. Susceptible purple large eggplants benefited far more from LTC than baby fruit. Prestorage LTC not only controlled surface scaled development but also decreased pulp softening and browning. In addition, it substantially improved phenolic antioxidants, anthocyanin, and chlorogenic acid retention during storage at 4°C. Overall, results show, for the first time, that the efficacy of LTC in eggplant is deeply affected by the fruit's genotype and maturity. Low-temperature conditioning may be a valuable tool to improve the storage compatibility of commercial eggplant batches having different chilling injury sensitivity.
Optimized Feature Selection Based on a Least-Redundant and Highest-Relevant Framework for a Solar Irradiance Forecasting Model

Exogenous and endogenous variables are typically evaluated several times during the selection trial of a predictive model for Global Horizontal Irradiance (GHI). This is accomplished using various statistical measures (e.g., univariate statistical analysis, correlation analysis, etc.) that are applied to gauge redundancy and relevancy in specific variables. The main benefits of these approaches include lower computational cost, fast screening times, accurate measuring of linear and monotonic degrees of variable pairs, and the removal of features with low relevance. However, they cannot identify instances where single or groups of predictor variables are non-monotonically associated with the response variable, nor can they discern whether variables are predictive in combination with other variables or in isolation. The present study attempts to overcome these challenges by first describing monotonic and non-monotonic (Spearman’s rho and Hoeffding’s D, respectively) correlation statistics in combined usage for locating groups with major non-monotonic endogenous variable changes. The proposed work’s novelty is subset evaluation that determines relevance using Weather Recursive Feature Elimination (WRFE). This is a novel hybrid feature reduction method that optimizes feature selection using a Least-Redundant/Highest-Relevant framework. The proposed WRFE utilizes feature importance for measuring variance reduction in Random Forest Regression (RFR) and as data perturbation in Long Short-Term Memory (LSTM). The simulation results of GHI hourly predictions demonstrate that the proposed optimal features of the training subset make the greatest contributions to the prediction target, proving that the high variability of irradiance conditions lowers training subset reliability.The results showed that the proposed WRFE is superior compared to the other models with 1.0927 % for the RMSE and the $R^{2}$ coefficient is exceeding 98%.
Analysis and simulation of a novel stand-alone variable speed constant frequency generation system

The performance of a standalone variable speed constant frequency generation-system under steady state and transient conditions, employing a double output induction machine and PWM power converters is investigated. System equations at steady state were derived in the stator flux oriented synchronously rotating reference frame. A computer program was developed to minimize the total kVA rating of the PWM converters within the thermal limits of the machine. Conditions for DC link voltage build up were established theoretically. A control algorithm for the complete system including voltage buildup phase was developed. Finally the performance of the proposed scheme was verified by computer simulation. Excellent voltage and frequency regulation against wide variation in load and prime mover speed are observed.
Excitation of electronic neuron-like generator with pulse stimulation

Neuromorphic technologies are among the most actual interdisciplinary fields of science. Neuromorphic devices are developing to implement principles and algorithms of brain information processing in computational systems. Neuromorphic devices require development of electronic components: neurons and synapses. The excitability of the neuron-like generator based on phase-locked loop is studied under external pulse stimulation. Imitational modelling study of electronic neuron-like generator model with excitable and self-oscillating modes have conducted in Simulink environment. Spiking and bursting self-oscillating modes known from numerical simulations were observed. Novel excitable dynamics was studied in presence of external pulse stimulation.
Real-time Visualization and Exploration of Protein Empty Space with Varying Parameters

Long-term research in the area of protein analysis proved the importance of an empty space situated inside these macromolecular structures. This empty space influences the protein function, characteristics or reactivity. Many algorithms enabling computation of these empty spaces (or voids) have been published and their results were evaluated by protein engineers to confirm their chemical relevance. However, not all detected voids inside protein are of the same importance. Thus, the examination and assessment of all voids must follow to reveal the important ones. In this phase the visual representation of voids is very valuable and substantially decreases the time spent in this evaluation phase. In this paper we present an extension of the algorithm for the visualization and further evaluation of protein voids in real-time. The user-driven approach enables to compute and display empty space that satisfies the input parameters instantly. The values of these parameters can be changed by the user anytime and the changes are immediately displayed and prepared for further exploration. Our improvements involve an exclusion of selected atom or group of atoms (ligands, ions) from the computation, which can change the size and shape of the detected void. Another improvement is related to the detection of the binding site which is usually located in one of the largest voids. So the algorithm suggests and visually separates (by different coloring) the largest void of given area. Several improvements were also made in the field of real-time exploration – currently the interaction on large structures is fluent. In consequence, the current version of the algorithm provides the biochemists with very adjustable and precise algorithm for detection of inner voids in a user-defined region of protein structures.
Antimicrobial Susceptibility Trends Among Gram-Negative Bacilli Causing Bloodstream Infections: Results from the China Antimicrobial Resistance Surveillance Trial (CARST) Program, 2011–2020

Purpose The antimicrobial resistance profiles of gram-negative bacilli causing bloodstream infections have changed over time, while comprehensive and real-time surveillance data are limited in China. This study aimed to review the antimicrobial susceptibility trends among main gram-negative bacilli isolated from blood specimens in China. Methods From 2011 to 2020, a total of 4352 non-duplicate isolates were collected from 21 tertiary hospitals in 18 provinces or cities across China. Antimicrobial susceptibility testing was conducted by the agar dilution method recommended by the Clinical and Laboratory Standards Institute (CLSI), and the results were interpreted using CLSI criteria. Results During this 10-year surveillance period, meropenem and imipenem were the most effective agents against Escherichia coli (resistance remaining <5%). The proportion of ESBL-producing isolates in carbapenem-susceptible E. coli displayed a decreasing trend (from 72.9% to 51.2%). The resistance rates of Klebsiella pneumoniae to meropenem and imipenem increased from 3.3% and 1.6% in the 2011–12 period to 15.0% and 15.4% in the 2019–20 period, respectively. Carbapenems and amikacin were the most active agents against Enterobacter cloacae. The resistance rates of Pseudomonas aeruginosa to meropenem and imipenem increased from 13.1% and 17.7% in the 2015–16 period to 24.5% and 21.0% in the 2019–20 period, respectively. Few agents showed activity against Acinetobacter baumannii. The frequency of imipenem-non-susceptible A. baumannii remained stable (remaining ~70%). Conclusion The rapid spread of carbapenem-resistant K. pneumoniae has been serious in recent years. Conversely, the prevalence of ESBL-producing isolates was decreased. Carbapenems are still effective against gram-negative bacilli causing BSIs, except for A. baumannii. More attention should be given to A. baumannii, considering its high resistance against different classes of antimicrobials.
Obesity: an evolutionary context

Abstract People completely lacking body fat (lipodystrophy/lipoatrophy) and those with severe obesity both show profound metabolic and other health issues. Regulating levels of body fat somewhere between these limits would, therefore, appear to be adaptive. Two different models might be contemplated. More traditional is a set point (SP) where the levels are regulated around a fixed level. Alternatively, dual-intervention point (DIP) is a system that tolerates fairly wide variation but is activated when critically high or low levels are breached. The DIP system seems to fit our experience much better than an SP, and models suggest that it is more likely to have evolved. A DIP system may have evolved because of two contrasting selection pressures. At the lower end, we may have been selected to avoid low levels of fat as a buffer against starvation, to avoid disease-induced anorexia, and to support reproduction. At the upper end, we may have been selected to avoid excess storage because of the elevated risks of predation. This upper limit of control seems to have malfunctioned because some of us deposit large fat stores, with important negative health effects. Why has evolution not protected us against this problem? One possibility is that the protective system slowly fell apart due to random mutations after we dramatically reduced the risk of being predated during our evolutionary history. By chance, it fell apart more in some people than others, and these people are now unable to effectively manage their weight in the face of the modern food glut. To understand the evolutionary context of obesity, it is important to separate the adaptive reason for storing some fat (i.e. the lower intervention point), from the nonadaptive reason for storing lots of fat (a broken upper intervention point). The DIP model has several consequences, showing how we understand the obesity problem and what happens when we attempt to treat it.
CELL VIABILITY IN SCOLIOTIC DISCS IN RELATION TO LOAD

Introduction: Although the cell density of the intervertebral disc is low, cells perform a vital role, being responsible for maintaining and remodelling the extracellular matrix. In animal models of scoliosis, cell viability of epiphyseal chondrocytes was found to be adversely affected. Here we examine cell density and viability of surgical disc specimens. Method: A total of 41 discs were removed from 13 consenting patients (3M, 9F, 5–40 yrs) during corrective surgery for scoliosis. Control samples were obtained from 3 non-scoliotic discs. These were further dissected to compare the outer annulus of the disc from the more concave and more convex sides of the quadrant removed at surgery. Cell density was measured using a modified Hoechst’s method. Cell viability was determined microscopically in sections using intracellular fluorescent probes. Results: Cell density was found to be lowest in apical discs, independent of absolute disc level (p Discussion: Cell viability was seen to be lower on the convex side of the scoliotic curve, suggesting that it is more difficult for cells to survive under the conditions on the convexity compared with the concavity. This may be due to differences in the mechanical conditions or the diffusion distances across the disc. Cell numbers were lowest in the apical disc, where stresses are thought to be maximal. Fewer viable cells may decrease production of matrix macromolecules, and thus compromise matrix integrity. A delicate balance exists between production and breakdown of matrix macromolecules, and any factor that interrupts this equilibrium state has the potential to affect the structure and function of the intervertebral disc.
economía digital: cambios en la producción, la distribución y el consumo y retos para la legislación

La economía digital está caracterizada por múltiples fallos de mercado a lo largo de su proceso productivo, desde la interacción de las empresas con usuarios y trabajadores hasta la distribución de bienes y servicios. La naturaleza económica de datos y algoritmos como inputs productivos y activos intangibles y la comercialización en plataformas en red configuran mercados con fuertes economías de escala que tienden a la concentración. Estas características confieren a las plataformas digitales un poder de mercado inédito reflejado en los «superrendimientos» a su capital intangible. Mientras que la teoría económica aconsejaría una fuerte regulación y gravamen de estas empresas y sus rendimientos, la propia naturaleza digital de las mismas facilita a la vez la elusión de dichas normas.
Sub-Threshold Voltage Operated High Speed Domino Logic OR and AND Gates

This paper demonstrate a new design technique for the implementation of sub-threshold voltage range domino logic gates using MOSFETs. The paper shows the implementation of the sub-threshold voltage domino logic for OR, and AND gates. These circuits work in the sub-threshold voltage range, hence, drastically reducing power consumption. This is achieved by adding a voltage boosting block that is introduced with the value of a capacitor of 1 pF which creates a faster and power-efficient pull-down network. These proposed circuits are operated at sub-threshold voltages. These circuits are simulated with +0.3 V supply voltage to yield results with good driving capability and good noise margins. The proposed circuits are designed using gpdk 180 nm CMOS design process using an LTspice tool.
Comparison of national e‐health implementation in the United States and South Korea

With the development of the health care industry, there has been growing recognition that e‐health implementation is needed to improve the efficiency, quality, and safety of care. In addition, a review of previous studies suggests that much can be learned by investigating the difference in national e‐health implementation in the United States and in South Korea. To this end, the main objective of this article is to compare the national e‐health implementation in the case of the United States and South Korea. The results show that in the United States a decentralized e‐health implementation is being followed by individual‐level e‐health. South Korea is pursuing ubiquitous health (u‐health) after a hospital information system and electronic health were implemented. The United States still lags behind many other countries in the implementation of e‐health, possibly due to its low uncertainty avoidance culture. South Korea has been among the frontrunner groups in e‐health implementation as a consequence of its highly developed telecommunication infrastructures and high uncertainty avoidance culture. On the basis of these results, we recommend that establishing health care policies be done on a national scale that takes into account the countries’ cultures.
Proyección climática para el periodo 2006-2075 para el valle de Jauja, simulada por la intercomparación de modelos acoplados CSIRO Mk 3.0, MIROC-ESM y CNRM de fase 5 (CMIP5)

Se evaluaron los datos climáticos para el valle de Jauja, región Junín, sierra central del Perú para el siglo xxi, como lo simulan los modelos climáticos utilizados en la fase 5 por la intercomparación de modelos acoplados (CMP5). Los modelos utilizados fueron tres: CSIRO Mk 3.6, MIROC-ESM y CNRM-CM5, respectivamente, a una resolución espacial de 1,875 × 1,86°, 2,81 × 1,87° y 1,41 × 1,40°, construidos con data meteorológica observada en el valle de Jauja durante el periodo 1975-2005, empleando el escenario RCP2.6 y 8.5 del IPCC. El objetivo del presente trabajo es proporcionar proyecciones climáticas locales para esta área, generando una primera base de datos climáticos futura de la región, como herramienta de toma de decisiones por parte de agricultores y otros usuarios de la cuenca. Las proyecciones climáticas muestran un calentamiento significativo desde 2,0 grados de temperatura para el escenario RCP2.6 hasta 3,5 grados de temperatura para el escenario RCP8.5, esperado en toda el área evaluada del valle de Jauja para los próximos cincuenta años, junto con una disminución de la precipitación. Las proyecciones de precipitación dependen de la resolución horizontal, lo que sugiere la necesidad de simulaciones adicionales con una resolución más alta, especialmente para una representación adecuada de eventos climáticos extremos.