Miracle-dz/UniFAR-FTUs huggingface dataset:
Prediction of Rhizoma Drynariae Targets in the Treatment of Osteoarthritis Based on Network Pharmacology and Experimental Verification

Rhizoma Drynariae has been widely used for the treatment of osteoarthritis (OA), but its potential targets and molecular mechanisms remain to be further explored. Targets of Rhizoma Drynariae and OA were predicted by relevant databases, and a protein-protein interaction (PPI) network was constructed to identify key targets. The Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis was performed to obtain related pathways and then select significant pathways associated with OA. The OA chondrocyte model was established by inflammatory factor-induced SW1353 chondrocytes, and molecular docking was conducted to verify the above theoretical prediction. The results showed that a total of 86 Rhizoma Drynariae-OA interaction targets were identified, among which IL-6 and AKT1 were the key targets in the PPI network. Luteolin was the most critical component of Rhizoma Drynariae. KEGG results indicated that the effects of Rhizoma Drynariae on OA are associated with the PI3K/AKT, TNF, IL-17, apoptosis, and HIF-1 signaling pathway. The PI3K/AKT pathway can activate the downstream NF-κB pathway and further regulate the transcription and expression of downstream IL-6, IL-17, HIF-1α, Bax, and TNF, suggesting that the PI3K/AKT/NF-κB pathway is the critical pathway in the treatment of OA with Rhizoma Drynariae. Active components of Rhizoma Drynariae and key proteins of the PI3K/AKT/NF-κB signaling pathway were subjected to molecular docking, whose results showed that luteolin and IKK-α played a critical role. In vitro experiments indicated that both aqueous extracts of Rhizoma Drynariae (AERD) and luteolin inhibited the expression of IL-6 and HIF-1α and suppressed the activation of PI3K/AKT/NF-κB, IL-17, and TNF pathways. The measurement of mitochondrial membrane potential (Δψm) indicated that AERD and luteolin can decrease the LPS-induced early apoptotic cells. Luteolin had a more prominent inhibitory effect than AERD in the abovementioned in vitro experiments. In conclusion, the therapeutic mechanism of Rhizoma Drynariae against OA may be closely related to the inhibition of the PI3K/AKT/NF-κB pathway and downstream pathways, and luteolin plays a vital role in the treatment.
Metastatic Leiomyosarcoma of Gall Bladder: Rare Case Report

Introduction: Primary sarcomas of the gallbladder (GB) as a rare disease, the incidence of which is more in women than men. Case Report: A 52 -year-old female patient presented to the outpatient clinic with complaints of intermittent pain in the right upper quadrant of the abdomen, nausea and some weight loss for 2-3 months. Ultrasound revealed Gall bladder mass with liver invasion. CT and PET-CT scan revealed Periportal and omental deposits . Final diagnosis was reached by FNAC and IHC as Metastatic Leiomyosarcoma of Gall Bladder. She was advised palliative chemotherapy as the tumor was unresectable and in advanced stage. She refused for chemotherapy and eventually died 3 months after diagnosis. Discussion: LMS of Gall Bladder is a rare entity. Patient presents with complaints of right upper quadrant pain, nausea, vomiting. It may be accompanied by cholelithiasis or cholecystitis or both. It is usually diagnosed at an advanced stage when there are only palliative options left. Survival rate is very poor. Conclusion: Leiomyosarcoma of gall bladder should be kept in mind when evaluating a patient with gall bladder mass.
A discrete-time predictive current control for PMSM

In this paper, a new predictive current controller for a permanent magnet synchronous motor (PMSM) considering delays is presented. In a full digital current control system for a PMSM, there are inevitable delays in calculating and applying the inverter output voltages to the motor terminals. A predictive current controller implemented in a full digital system has serious problems such as the oscillation and large overshoot. A discussion of compensation methods to cope with the nonlinearities of the real system is also presented. The proposed current controller has been analyzed, and the experimental results are shown to prove the feasibility and effectiveness of the proposed predictive current controller using a prototype 750 W PMSM servo drive system.
Language Production and Comprehension in Bilingual SLI: Evidence from Complex Morphosyntactic Structures

The last decade has seen an increase in the number of published studies in bilingual children with Specific Language Impairment (SLI) but the latter have focused mainly on language production. A substantially smaller body of research on comprehension primarily addresses the question whether children with SLI show a similar profile to bilingual typically developing (TD) children. However, research comparing bilingual and monolingual children with SLI remains comparatively limited. Moreover, this is also the case with research into language comprehension in bilingual children with SLI in isolation or compared to production within the same population. This paper outlines the background to Specific Language Impairment within a bilingual setting and the rationale for studying bilingual children with SLI as evidence for/against theories of language and language impairment. It further discusses directions for future research in order to bridge the gaps in the existing literature and a presentation of a series of morphosyntactic structures which have been described as “complex”.
Computer simulation of converter fed synchronous machine drives containing space harmonics

In this paper, the complete model of three and six phase self commutated synchronous machine drives are presented, considering the effects of both time and space harmonics. Firstly, equations for calculation of machine inductances are developed, secondly, the "thyristor-inverter-electric machine" set is modelled to drive all the equations for conduction and commutation states. Finally, the results of computer simulations are demonstrated.
The Effect of Simulated Microgravity On The Antioxidant Capacity And Alkaloid Formation In The Hyoscyamus Niger

Microgravity is one of the most important abiotic stresses in space. In the case of plant exposure to short term microgravity, plants establish strategies to response to these stresses and promote growth and survival. We hypothesized that the simulated microgravity can promote the antioxidant capacity and the formation of secondary metabolites such as tropane alkaloids in the Hyoscyamus niger. Callus induction was conducted by putting hypocotyl segments of H. niger seedlings in solid MS medium supplemented with 1 mg L−1 2,4-D and 1 mg L−1 BAP growth regulators. Then, the sub-cultured calli were placed on a clinostat for 3, 7 and 10 days. We performed Atropine and Scopolamine determination through HPLC. PAL (Phenyle alanine amonalyase) and antioxidant activity were also determined. Gene expression analysis of jasmonic acid (JA), Hyoscyamine 6-beta Hydroxylase (H6H), Putrescine N-methyltransferase (PMT), mitogen-activated protein kinase (MAPK) and ethylene responsive element binding (EREB) was performed using quantitative real time PCR. Findings showed that microgravity had a positive effect on the antioxidant capacity, Atropine and Scopolamine production in the H. niger calli. However, microgravity had a negative effect on the PAL activity. Furthermore, gene expression analysis indicated that microgravity significantly induced gene expression of the H6H, PMT and JA. It was also revealed that callus growth, carbohydrate and protein content increased in response to microgravity treatment. We conclude that microgravity can be considered as a potent factor to induce plant antioxidant activity and tropane alkaloids formation to be applicable in the pharmaceutical and medicinal industries.
Smart-pixel module development for free-space optical interconnects

Over the years, the distances at which optical interconnect technology is considered competitive with copper has been steadily decreasing. For instance, initial implementation of fiber optic communication was in long distance telecommunications. Eventually fiber optic links began to appear in local area network backbones over distance scales from 100 meters to 2km. Most recently, there has been an acceptance that fiber optic interconnects are competitive inside servers or switches, at distances on the order of 10 meters. Therefore one might ask at what level optical interconnects will be applied in the future. Will they be cost effective inside a box (1 meter? ). Could they even provide an interconnect function between chips on a board or MCM (1-10 cm)? As interconnect distances become progressively shorter, the cost limitations become more and more severe.
Estimating the Economic Cost of COVID-19

Our study presents a framework to estimate economic costs of the COVID-19 pandemic for the U.S. economy. We characterize whether the pandemic-related damages are short-lived or longlasting. The potential damages are estimated in terms of losses in eight major variables, including employment, consumption and GDP. By accurately estimating near-term damages from the pandemic, our framework would assist policymakers in regard to effective decision making. To estimate damages from the pandemic, we utilize the pre-COVID potential level of the target variables, GDP for example, as a benchmark and compare these estimates with those that are calculated during the COVID pandemic. The intuition behind this method is that the pre-COVID potential GDP level is estimated using expansion phase growth rates and with the assumption of no COVID pandemic resurgence in the near future. Consequently, these rates are higher than those that are calculated during the pandemic and thereby the gap between these two measures of potential GDP is utilized as a benchmark to estimate the economic cost of COVID-19. Our study suggests damages from the pandemic are not short-lived as the level/trend of potential GDP (seven of the eight variables) has shifted downward. That is, the major sectors have shifted to a lower growth trajectory compared to the pre-COVID growth path. These findings have vital implications for policymakers as focusing only on the real GDP level would paint an illusion of a stronger recovery and back to the “normal. ” Furthermore, the illusion of a stronger recovery may lead to a sooner-than-appropriate policy normalization.
Comparative analysis of microactuators fabricated by femtosecond and nanosecond laser micromachining

Laser micromachining technology is a cost-effective microfabrication technique for prototyping and in some cases batch production of miniature components and microdevices with complex geometries requiring high accuracy and precision. The objective of this paper is to analyze experimentally the effect of the laser micromachining process and its parameters, particularly, the pulse duration, on the characteristics of the fabricated functional microdevices. This was achieved through the microfabrication of two electro-thermally driven in-plane microactuators using a femtosecond and a nanosecond pulse laser. The dynamic/static performance of the microactuators was compared with respect to the required current/power and generated actuation force/displacement and the geometric quality of the machining.
Audi-Exchange: AI-Guided Hand-based Actions to Assist Human-Human Interactions for the Blind and the Visually Impaired

Vision loss or low vision poses significant challenges to blind-or-visually-impaired (BVI) individuals when interacting with humans and objects. Although many apps and assistive devices can help them better interact with the environment and objects, the current state of assistive technology leaves human-human interaction needs of the BVI largely unaddressed. Because of this, we introduce a new wearable mobile assistive platform, named Audi-Exchange, to address part of the problem. Developed with mobile-optimized computer vision and audio engineering techniques, Audi-Exchange facilitates a specific area of human-human interaction by helping the BVI user accurately locate another person’s hand with spatial audio in order to pass objects over to or receive objects from the other person. Audi-Exchange differs from existing academic and commercial assistive technologies in that it is intuitive to use and non-intrusive when worn. We conduct several experiments to investigate Audi-Exchange’s effectiveness as an assistive human-human interaction tool and discover encouraging results.
A Multi-Country Analysis of Lifecycle Emissions From Transportation Fuels and Motor Vehicles

General. This report provide an overview of basic assumptions and general results for all of the fuel, feedstock, and light-duty vehicle combinations treated in the LEM, and somewhat more detailed results and discussions for the longer-term advanced options, including compressed or liquefied hydrogen from natural gas, compressed or liquefied hydrogen from water via electrolysis, and liquid biofuels developed from wood, grass, or corn. It considers fuel-cell electric vehicles (FCVs) as well as internal-combustion engine vehicles (ICEVs). Target years. The LEM has the capability of modeling lifecycle environmental impacts in any target year from 1970 to 2050. For this analysis we have estimated results for the near term (2010) and the long term (2050). (We originally proposed to run the LEM for three dates, 2005, 2020, and 2050, but for three reasons have modeled 2010 and 2050 instead: there is not enough difference between 2005 and 2020 to warrant separate runs; having three target years instead of two increases the already large number of results tables by 50%; and Nissan has the LEM and hence the capability to run any year it is interested in.) Countries. The LEM also has the capability of modeling lifecycle environmental impacts in up to 30 countries simultaneously. For this project, we have performed lifecycle analysis for Japan, China, the U. S. , and Germany, using existing data in the LEM. (We originally proposed to run the LEM for Poland, Italy, and the U. K. as well, but for several reasons we omitted them: the data for these countries are not as good as the data for China, Japan, and the U. S.; presenting results for three more countries would greatly multiply the already-large number of results tables; and Nissan has the LEM and hence the capability to run any country it is interested in.) Results reported. The LEM produces a wide range of quantitative outputs related to lifecycle emissions from the use of alternative transportation fuels and modes. For this report we provide estimates of lifecycle CO2-equivalent GHG emissions in grams per mile, by stage of lifecycle and fuel/feedstock/vehicle combination; emissions of pollutants from the "upstream" fuel cycle (i.e., all stages of the fuel lifecycle excluding end use) in grams per million BTU of fuel, by individual pollutant including CO2-equivalent and fuel/feedstock combination; and emissions of pollutants from the vehicle and materials lifecycle, in grams per pound of material, by individual pollutant (including CO2-equivalent) and vehicle type. We discuss the key assumptions of the analysis and their impacts on the results. We pay particular attention to inputs and outputs that determine or reveal differences among countries, including kinds and sources of feedstocks for various fuel production pathways, differences in technologies, and differences in emissions regulations and fuel properties.
Identifying Core Information System Capabilities

This paper analyses three seminal papers on identifying core information system (IS) capabilities. Core IS capabilities are the ones that should not be outsourced when companies plan outsourcing IS services. By the way of analyzing the three seminal papers, different views on IS services are taken, namely functional, process, and hierarchical views. This paper also provides a summary of the findings, comparing the three views for their merits and weaknesses; this comparison can be considered as the original contribution of the paper.
Influence of the aberrations of optical Fourier-transform systems in a joint transform correlator

The operation of a joint transform correlator is based on two Fourier transforms in cascade. The first one produces the joint power spectrum; the second one yields the correlation. In this work, we study the influence of the aberrations that affect the optical systems that produce the two Fourier transforms, by computing the wave aberration of the diffraction setups from data obtained by ray tracing. First, we consider the aberration only in the power spectrum, then only in the transformation of power spectrum to give the correlation and finally, in the two steps at the same time. In the study, real conditions have been reproduced and the dimensions and resolutions of real liquid crystal-displays have been used. The results show that the quality of the correlation is determined mostly by the aberrations of the first diffraction stage.
Artificial neural networks in fault diagnosis of dynamical systems

The lecture starts with the discussion of the methodology of Fault Detection and Isolation (FDI) for dynamic systems. Then recent model-based approaches to FDI – analytical ones and those based on soft computing – are surveyed. Taking into account many limitations of analytical methods, the main attention is focused on the use of neural networks in FDI for solving specific tasks such as fault isolation, but mainly fault detection. Two kinds of dynamic neural networks – the MultiLayer Perceptron (MLP) and the Group Method of Data Handling (GMDH) – are discussed for the purpose of modelling the diagnosed systems. Irrespective of the neural networks used, there is always the problem of neural model uncertainty, i.e. the model-reality mismatch. Therefore, the neural network-based fault diagnosis scheme should provide robustness to model uncertainty. It will be shown how to determine the structure and parameters of the GMDH network as well as how to estimate modelling uncertainty of the resulting neural model using a Bounded-Error Approach (BEA). Such an approach gives the possibility of formulating an algorithm that allows obtaining a neural network with relatively small modeling uncertainty. The presentation describes how to develop an adaptive threshold with the GMDH model using some knowledge regarding its uncertainty, and how to increase the robustness of GMDH-based fault diagnosis. To illustrate the effectiveness of the GMDH network in fault diagnosis, several powerful examples – a sugar factory value actuator (DAMADICS benchmark problem) and a laboratory two-tank system – are presented.
Quasi-static impact response of alternative origami-core sandwich panels

Foldcore sandwich panels have been the focus of much recent study in the aerospace industry. Existing foldcores are composed of a partially folded Miura origami pattern sandwiched between two stiff facings, and have been shown to possess numerous useful properties for impact-resistant applications. Non- Miura origami pattern with similar geometric properties, specifically rigid-foldability and tessellation, may be used as potential alternative origami-cores for sandwich panels, however the mechanical performance of such cores remains an unexplored area. This paper conducts a preliminary investigation into the impact resistance of five non-Miura sandwich panels. The selected patterns are numerically analysed under quasi-static lateral impact loads, and comparisons are drawn with existing foldcore designs. Two particular patterns are found to have failure modes suited for energy-absorbing applications. Prototypes of these two cores are constructed from polypropylene sheet material and experimentally tested to validate numerical results. Reasonable correlation is seen in the force-displacement response of numerical and experimental models. Copyright
Parental perception of oral health-related quality of life in children with autism. An observational study

Background: Autism is reportedly the most severe neuropsychiatric disorder affecting children. Autistic subjects can be characterized by impairments in social interactive behavior along with restricted interests and quite frequently, are seen exhibiting repetitive behavior patterns in stereotyped manner. The inability to perform routine tasks can widely impact the oral health and also, the constant care and sense of helplessness might drastically affect quality of life. Aim: The aim of the study was to assess the oral health status and perceptions regarding an autistic child's oral health among parents. Materials and Methods: Parental perception regarding the quality of life among the afflicted autistic children was done using a self-assessment questionnaire that included eight questions which were replied to in an affirmation or negative answer. 300 parents of autism affected children formed the study participants. Recorded responses were evaluated and percentage of each response was derived. Oral health status was measured by determination of dental caries prevalence and OHI-S index using chair light illumination, mouth mirror, diagnostic probe and a standard WHO periodontal probe. For statistical analysis, the calculations were performed by using the paired t test. Statistical significance, which was fixed at P < 0.05, which is statistically significant.Results: Approximately 18.33% of parents showed were aware that oral health can influence general health; 15% did have exhibit awareness. 15% of parents did not consider that primary teeth were important; 59.1% visited any dentist only when suffering from pain; 5% went for an annual dental examination; 15% and 24.6% parents visited dental practitioners at intervals of 3 and 6 months, respectively. 30%, 25% and 51.66% parents considered obtaining consultation and getting treatment from pediatric dentist; general dentist and general physician. 41.6% parents had taken their children for restorations. 52% reported constant stress whereas 48% reported with constant distressed emotions. No significant difference was determined between the parameters. 75% of autistic children suffered from dental caries whereas oral hygiene scores demonstrated high mean value of 4. Conclusion: Autism is a severely distressing condition wherein oral health along with general physical health is affected. Since parents are directly involved in upbringing of these individuals, they also subsequently show a reduction in quality of life.
A Study on the Implementation of Home Wellness Robot Self-Localization Using RSSI and Trilateration

This paper develops the design technology of a sensing platform for the HWR to perform a role of both health and life care in an aging society. The localization of indoor mobile robot is so important for its elaborate trajectory control. We set research focus on self-localization in this paper. The RF sensor network system is installed to improve its self-localization ability so that the HWR can identify its own location and track the path very well. A fusion algorithm using RSSI(Received Signal strength indication) and trilateration is also proposed for the agile self-localization. It is implemented by new configuration of novel sensing architecture and embedded software. Finally, we confirm its good performance through the resultant data of live tests.