Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation and Evolution of NAOnto – An Ontology for Personalized Diabetes Management for Native Americans

Ontology has been proposed to use in various healthcare domains to represent and manage knowledge, integrate heterogeneous data, assist natural language processing, facilitate machine learning, and support intelligent medical decisions. Although there are many ontologies defined, their adoption in real-world applications is limited, because their quality is unknown. The quality of the ontology directly determines its use and reuse in real-world applications, which is especially important for the medical domain. To assure its quality, an ontology should be evaluated with a set of comprehensive and systematic metrics and approaches. In this work, we studied the ontology evaluation problem in the medical domain. Specifically, we present the evaluation framework to evaluate, NAOnto, an ontology we developed for personalized diabetes management of Native Americans. The framework consists of two important parts of the evaluation, namely verification, and validation. We adopt software quality standard metrics to verify ontology as a software application while applying the ontology to real applications to validate its contained knowledge. Based on the evaluation results, the proposed ontology has gone through an active evolution process to address the discovered issues/problems. The proposed framework demonstrates how ontology evaluation can be practiced in the healthcare domain to assure the quality of ontologies.
Recent Advances in Visible-Light-Mediated Amide Synthesis

Visible-light photoredox catalysis has attracted tremendous interest within the synthetic community. As such, the activation mode potentially provides a more sustainable and efficient platform for the activation of organic molecules, enabling the invention of many controlled radical-involved reactions under mild conditions. In this context, amide synthesis via the strategy of photoredox catalysis has received growing interest due to the ubiquitous presence of this structural motif in numerous natural products, pharmaceuticals and functionalized materials. Employing this strategy, a wide variety of amides can be prepared effectively from halides, arenes and even alkanes under irradiation of visible light. These methods provide a robust alternative to well-established strategies for amide synthesis that involve condensation between a carboxylic acid and amine mediated by a stoichiometric activating agent. In this review, the representative progresses made on the synthesis of amides through visible light-mediated radical reactions are summarized.
Power Control in Grid-Connected Wind Energy System Using Diode-Clamped Multilevel Inverter

ABSTRACT This paper presents dynamic modelling and control of real and reactive power in grid-connected variable speed wind energy conversion system using diode-clamped multilevel inverter (DCMLI). A modified five-level DCMLI is used for power control, which eliminates the requirement of transformer and improves the quality of controlled output voltage. It is shown that the system is dynamically stable and is able to control the real and reactive power independently, and provides harmonic compensation within standard limits. The voltage balancing across the capacitors of the five-level diode-clamped inverter is obtained using external balancing circuits. The performance of the proposed control method is tested under variable wind speed, sudden load changes, and under single-phase and three-phase faults. Simulation studies PSCAD/EMTDC verifies the proposed control method.
A Handover Strategy Based on User Dynamic Preference for LEO Satellite

In the existing LEO satellite handover strategy, most of the indicators of handover decision consider satellite network parameters rather than the actual requirements of user services for handover indexes. In this paper, aiming at the issue of aircraft handover under the high coverage of LEO satellites, a handover strategy based on user dynamic preferences is proposed. By constructing a dynamic preference matrix, the set of satellites to be switched is selected, and the handover time is reserved. The decision matrix sorting algorithm is used to find the best handover satellite to avoid the influence of weight factors. So as to provide users with optimal handover strategies for different task requirements in different time periods. The simulation results show that this strategy can accurately make handover decisions, improve the stability of handover decisions, reduce the number of handovers, reduce network congestion rates, and ensure service QoS requirements.
Development of engineering tools to analyze and design flexible structures in open ocean environments

Methods to effectively predict system response in marine settings are critical in the engineering design process. The high energy ocean environment can subject structures to large wave and current forces, causing complex coupled motions and loads. This research focused on the development of effective methods to predict flexible system response and the structural integrity of marine High Density Polyethylene (HDPE) components. Numerical modeling tools were developed to analyze and design flexible structures in open ocean environments. Enhancements to the University of New Hampshire's Aqua-FE finite element computer program were performed, including expansion of the element library to include spherical geometries and implementation of various hydrodynamic effects such as Stokes 2nd order waves and water velocity reduction due to component shadowing. Two case studies, involving laboratory and field experiments, were performed evaluating the software modifications and examining the response of flexible systems in various environmental conditions. Practical applications of the numerical model are presented, focusing on the design, analysis and deployment of a submerged grid mooring 10 km from Portsmouth, NH. The system was recovered after a seven year deployment and inspected. The numerical model proved to be a valuable engineering tool for investigating a system's motion dynamics and mooring tension response in marine environments. High density polyethylene is a primary structural component for marine systems such as fish containment, wave attenuators and marine defense barrier systems. The fundamental engineering issues with the compliant HDPE material are associated with how the material changes its stiffness and strength depending upon the service life, load rate and temperature. Structural modeling techniques were developed to determine effective methods of analyzing marine systems constructed of HDPE. This included the investigation of the mechanical behavior of new and environmentally fatigued HDPE specimens, obtained from commercial fish farms, at different strain rates and validation of the modeling approach with laboratory experiments. The operational limits, loads and modes of a failure of the HDPE cage frame were estimated, providing valuable information on the survivability of these large, flexible systems in offshore environments.
CONTRIBUTION TO THE FLUID-STRUCTURE INTERACTION ANALYSIS OF ULTRA-LIGHTWEIGHT STRUCTURES USING AN EMBEDDED APPROACH

Designing large ultra-lightweight structures within a fluid flow, such as inflatable hangars in an atmospheric environment, requires an analysis of the naturally occurring fluid-structure interaction (FSI). To this end multidisciplinary simulation techniques may be used. The latter, though, have to be capable of dealing with complex shapes and large deformations as well as challenging phenomena like wrinkling or folding of the structure. To overcome such problems the method of embedded domains may be used. In this work we discuss a new solution procedure for FSI analyses based on the method of embedded domains. In doing so, we are in particular answering the questions: How to track the interface in the embedded approach, how does the subsequent solution procedure look like and how does both compare to the well-known Arbitrary-Lagrangian-Eulerian (ALE) approach? In this context a level set technique as well as different mapping and mesh-updating strategies are developed and evaluated. Furthermore the solution procedure of a completely embedded FSI analysis is established and tested using different small- and large-scale examples. All results are finally compared to results from an ALE approach. It is shown that the embedded approach offers a powerful and robust alternative in terms of the FSI analysis of ultra-lightweight structures with complex shapes and large deformations. With regard to the solution accuracy, however, clear restrictions are elaborated.
Constant Pressure Control for Energy Efficient Lathe Turret

Hydraulic system plays an important role in many power systems such as excavator, braking system of vehicle and machine tool. Generally speaking, hydraulic control system can be divided into two different driving concepts. The first one is the well-known valve-controlled system and the second one is the pump-controlled system. The former possesses the feature of fast dynamic response. However, the poor energy-saving performance is its major fault. On the contrary, the pump-controlled system has the significant advantage of energy-saving which meets the current demand in modern machine design, but has the disadvantage of slower dynamic response. With the advancement of electric-motor system, however, this disadvantage has been greatly improved. In this paper, the simulation analysis of a newly developed energy-efficient hydraulic CNC lathe turret based on constant pressure control scheme is presented. Instead of the conventional fixed displacement hydraulic pump, the new energy-efficient system utilizes an internal gear pump together with an AC servo motor as its driving power source. In addition, a closed-loop control scheme using PID control is adopted. From simulation results, the new energy-efficient design can reduce the waste of the output flow-rate of the pump through the relief valve that generally happens in conventional hydraulic lathe and then achieve the purpose of designing an energy-efficient hydraulic lathe.
Jointly Predicting Future Content in Multiple Social Media Sites Based on Multi-task Learning

User-generated contents (UGC) in social media are the direct expression of users’ interests, preferences, and opinions. User behavior prediction based on UGC has increasingly been investigated in recent years. Compared to learning a person’s behavioral patterns in each social media site separately, jointly predicting user behavior in multiple social media sites and complementing each other (cross-site user behavior prediction) can be more accurate. However, cross-site user behavior prediction based on UGC is a challenging task due to the difficulty of cross-site data sampling, the complexity of UGC modeling, and uncertainty of knowledge sharing among different sites. For these problems, we propose a Cross-Site Multi-Task (CSMT) learning method to jointly predict user behavior in multiple social media sites. CSMT mainly derives from the hierarchical attention network and multi-task learning. Using this method, the UGC in each social media site can obtain fine-grained representations in terms of words, topics, posts, hashtags, and time slices as well as the relevances among them, and prediction tasks in different social media sites can be jointly implemented and complement each other. By utilizing two cross-site datasets sampled from Weibo, Douban, Facebook, and Twitter, we validate our method’s superiority on several classification metrics compared with existing related methods.
Multi-Touch Surfaces: A Technical Guide Technical Report TUM-I0833

Multi-touch interaction with computationally enhanced surfaces has received considerable recent attention. Approaches to the implementation of multi-touch interaction such as Frustrated Total Internal Reflection (FTIR) and Diffused Illumination (DI) have allowed for the low cost development of such surfaces, leading to a number of technology and application innovations. Although many of these techniques have been presented in an academic setting, the practicalities of building a high quality multi-touch enabled surface, both in terms of the software and hardware, are not trivial. \\ This document aims to summarize the knowledge and experience of developers of multi-touch technology who gathered at the Bootcamp on Construction & Implementation of Optical Multi-touch Surfaces at Tabletop 2008 in Amsterdam, and seeks to provide hints and practical advice to people seeking to ``build your own'' multi-touch surface. We mostly focus on technical aspects that are important in the construction of optical multi-touch surfaces, including: infrared illumination, silicone compliant surfaces, projection screens, cameras, filters, and projectors. In addition, we outline how to integrate this hardware to allow users to create a solid multi-touch surface, and provide an overview of existing software libraries for the implementation of multi-touch applications. In addition, we discuss the problem of latency introduced by the different parts of the system. A brief description of most of the common technologies to realize (multi-) touch surfaces is provided; however, the main focus is on those that utilise optical approaches.
Insight into the Sorption and Activation Energy Phenomenon of Kenaf Shive Sorbents in Crude Oil/Water Mixture

The secondary effect discovery of synthetic sorbents opened another research direction for many field of studies. However, the sorption parameters of lignocellulosic sorbents are rarely reported most importantly, kenaf shive. This paper centered at the sorption behavior of optimized kenaf shive sorbents using Response Surface Methodology (RSM) via surface deposit technique. Five-level Central Composite Design (CCD) experimental matrix was used to analyze the effect of particle sizes (125-1000 µm), stirring time (5-30min) and methyltrimethoxysilane (MTMS) concentration (5-20% v/v) as individual and combined variables process in the developed sorbents. The unmodified shive was compared with the modified, and it reveals a positive shift in the sorption capability. Instrumental analysis such as FTIR (Fourier Transform Infra-Red), DT-TGA (Differential Thermal-Thermogravimetric analysis) and BET (Brunaure-Emmett-Teller) were carried out on the optimized sorbent and the results were in conformity with the sorption results. The sorption behavior deployed fits the pseudo-first-order and Langmuir isotherm with regression coefficient R2=0.9496 and R2=0.9400. The sorption property was found to be spontaneous and exothermic, however, the activation energy studies shows physic-sorption phenomenon with 25.3 kJmol-1 and R2=0.9360.
A New Antimicrobial Phenylpropanol from the Leaves of Tabernaemontana inconspicua Stapf. (Apocynaceae) Inhibits Pathogenic Gram-Negative Bacteria

A chemical investigation of the leaves of Tabernaemontana inconspicua Stapf. led to the isolation of a new phenylpropanol derivative, namely irisdichototin G (1), together with nine known compounds, including one polyol derivative, dambonitol (2); three alkaloids, 10-hydroxycoronaridine (3), voacristine (4) and vobasine (5); two triterpenes lupeol (6), betulinic acid (7) and three sterols, sitosterol (8), sitosterol-3-O-β-D-glucopyranoside (9) and stigmasterol (10). The structure of the new compound, as well as those of the known ones, was established by means of spectroscopic methods: NMR analysis (1H and 13C NMR, 1H-1H-COSY, HSQC, HMBC and NOESY), high-resolution mass spectrometry (HR-ESI-MS) and comparisons with previously reported data. Among the known compounds, compound 2 was firstly reported from the family Apocynaceae. Compounds 1–5 were tested for their antimicrobial effects against three Gram-negative organisms associated with human wound and systemic infections, namely Haemophilus influenzae 9435337A, Klebsiella pneumoniae 17102005 and Pseudomonas aeruginosa 2137659B. Compounds 1, 3, and 5 showed significant antimicrobial effects with minimum inhibitory concentrations (MIC) of 62.5 μg/mL, 62.5 μg/mL and 7.81 μg/mL, respectively, against Haemophilus influenzae, whereas compounds 1 and 5 showed significant antimicrobial effects, with a MIC value of 31.25 μg/mL against Pseudomonas aeruginosa. In addition, compound 3 showed significant antimicrobial activity, with a MIC value of 31.25 μg/mL against Klebsiella pneumoniae.
An Uplink Node Pairing Algorithm for Non- orthogonal Multiple Access Backscatter Communication Systems

To further improve energy supplement and spectrum efficiency in non-orthogonal multiple access (NOMA) assisted backscattering communication, in this paper, a novel node pairing algorithm, dual-node pairing (DNP-BG) algorithm, is proposed. Specifically, based on the distance between the backscatter nodes (BNs) and the reader, the coverage area is divided into two sub-areas. To achieve double-node pairing, we analyze this scenery with the weighted bipartite graph and try to find the maximum weight matching of it. Subsequently, we take maximum weight sum of the weighted bipartite graph to achieve the backscatter node pairing. Simulation shows that the number of successfully decoded bits with our proposed scheme outperforms that of other pairing algorithms, in both the thresholds of signal to interference noise ratio (SINR) and transmit power.
Functional Selectivity of Coumarin Derivates Acting via GPR55 in Neuroinflammation

Anti-neuroinflammatory treatment has gained importance in the search for pharmacological treatments of different neurological and psychiatric diseases, such as depression, schizophrenia, Parkinson’s disease, and Alzheimer’s disease. Clinical studies demonstrate a reduction of the mentioned diseases’ symptoms after the administration of anti-inflammatory drugs. Novel coumarin derivates have been shown to elicit anti-neuroinflammatory effects via G-protein coupled receptor GPR55, with possibly reduced side-effects compared to the known anti-inflammatory drugs. In this study, we, therefore, evaluated the anti-inflammatory capacities of the two novel coumarin-based compounds, KIT C and KIT H, in human neuroblastoma cells and primary murine microglia. Both compounds reduced PGE2-concentrations likely via the inhibition of COX-2 synthesis in SK-N-SH cells but only KIT C decreased PGE2-levels in primary microglia. The examination of other pro- and anti-inflammatory parameters showed varying effects of both compounds. Therefore, the differences in the effects of KIT C and KIT H might be explained by functional selectivity as well as tissue- or cell-dependent expression and signal pathways coupled to GPR55. Understanding the role of chemical residues in functional selectivity and specific cell- and tissue-targeting might open new therapeutic options in pharmacological drug development and might improve the treatment of the mentioned diseases by intervening in an early step of their pathogenesis.
“Is This Really Our Problem?”: A Qualitative Exploration of Black Americans’ Misconceptions about Suicide

ABSTRACT Rates of suicide within the Black community are increasing. Rising rates, coupled with institutional racism, impacts how Black perceive suicide as a problem in their communities. This paper examines the misconceptions that Black Americans hold about the topic of suicide. The current project included data from 25 self-identifying Black adults living in Northeast Ohio. We used a thematic analysis approach to data analysis. Through in-depth interviews, we identified five themes that highlight prominent misconceptions about suicide in Northeast Ohio’s Black community: (1) suicide is related to personal inadequacies; (2) suicide is not a pressing issue in the Black community; (3) clashing perceptions of Blackness and the mentally ill; (4) mentally ill and hopeless; and (5) suicidal thoughts are crazy and will pass. These findings and implications for professionals and for community leaders and members are discussed in detail.
Serum Levels of Lipids and Selected Aminothiols in Epileptic Children—A Pilot Case-Control Study

Background: Standard treatment of epileptic seizures involves the use of antiepileptic drugs (AEDs). Both AEDs themselves and treatment duration may influence the levels of biochemical parameters, e.g., lipids or homocysteine (HCys), that may increase the risk of cardiovascular diseases. The aim of the present study was to compare the levels of lipid parameters, as well as the concentrations of selected aminothiols (i.e., HCys, cysteine, and glutathione) between epileptic children treated with multiple AEDs and children without epilepsy. Methods: In the study, 21 children with epilepsy treated with two or more AEDs for at least 6 months (8 girls and 13 boys, mean age 7.03 ± 4.51) and 23 children without epilepsy (7 girls and 16 boys, mean age 7.54 ± 3.90) were prospectively analyzed. Lipid parameters, i.e., total cholesterol (TC), triglycerides (TG), low density lipoprotein (LDL) and high density lipoprotein (HDL), and levels of selected aminothiols were determined in the blood serum. Results: No differences in the mean levels of lipid parameters and in the mean values of lipid ratios (TC/HDL, TG/HDL, LDL/HDL) were observed between the total groups as well as in the sex subgroups. HCys and cysteine levels did not differ between the patients and controls. We observed significantly lower levels of glutathione in children with epilepsy than in children without epilepsy (1.49 ± 0.35 µmol/L vs. 2.39 ± 1.17 µmol/L, respectively) (p < 0.001). Glutathione level was also lower in boys with epilepsy than in boys without epilepsy (p = 0.007). Similarly, epileptic girls had statistically decreased levels of glutathione when compared to girls without epilepsy (p = 0.006). Conclusions: A lower level of glutathione is observed in pediatric patients with epilepsy treated with two or more AEDs for at least 6 months. This indicates the oxidative stress of the patients treated with AEDs, which in turn may affect their well-being, and in the case of chronic occurrence resulting from long-term treatment, also on the function of the liver and the condition of the cardiovascular system.
Evaluation of hydromechanical and functional properties of diversion-type microcapsule-suspension bioreactor for bioartificial liver

Aim: To evaluate the performance of a diversion-type microcapsulesuspension fluidized bed bioreactor and a choanoid fluidized bed bioreactor as bioartificial liver support systems. Materials and methods: We evaluated the performance between the modified fluidized bed bioreactor based on diversion-type microcapsule suspension (DMFBB) and choanoid fluidized bed bioreactor (CFBB). The fluidization performance, fluidized height, bed expansion, and the mechanical stability and strength of microcapsule were determined. The viability, synthetic, metabolism, and apoptosis of microcapsulated HepLi5 cells were evaluated. Finally, samples were collected for measurement of alanine aminotransferase, total bilirubin, direct bilirubin, and albumin concentrations. Results: Uniform fluidization was established in both DMFBB and CFBB. The bed expansion, shear force, retention rate, swelling rate, and breakage rate of microcapsules differed significantly between two bioreactors over 3 days. The viability of microencapsulated HepLi5 cells and the activities of cytochrome P450 1A2 and 3A4 increased on each day in DMFBB compared to the control. The albumin and urea concentrations in the DMFBB displayed obvious improvements compared to the control. Caspase3/7 activities in the DMFBB decreased compared to those in the CFBB. At 24 h, the alanine aminotransferase concentration in the DMFBB declined significantly compared to the control. The total and direct bilirubin concentrations within plasma perfusion were decreased and albumin was increased in the DMFBB at 24 h than in the CFBB. Conclusion: The DMFBB shows a promising alternative bioreactor for use in bioartificial liver support systems for application of clinical practice.