Miracle-dz/UniFAR-FTUs huggingface dataset:
The Potential Role of Phenolic Acids from Salvia miltiorrhiza and Cynara scolymus and Their Derivatives as JAK Inhibitors: An In Silico Study

JAK inhibition is a new strategy for treating autoimmune and inflammatory diseases. Previous studies have shown the immunoregulatory and anti-inflammatory effects of Salvia miltiorrhiza and Cynara scolymus and suggest that the bioactivity of their phenolic acids involves the JAK-STAT pathway, but it is unclear whether these effects occur through JAK inhibition. The JAK binding affinities obtained by docking Rosmarinic acid (RosA), Salvianolic acid A (SalA), Salvianolic acid C (SalC), Lithospermic acid, Salvianolic acid B and Cynarin (CY) to JAK (PDB: 6DBN) with AutoDock Vina are −8.8, −9.8, −10.7, −10.0, −10.3 and −9.7 kcal/mol, respectively. Their predicted configurations enable hydrogen bonding with the hinge region and N- and C-terminal lobes of the JAK kinase domain. The benzofuran core of SalC, the compound with the greatest binding affinity, sits near Leu959, such as Tofacitinib’s pyrrolopyrimidine. A SalC derivative with a binding affinity of −12.2 kcal/mol was designed while maintaining this relationship. The docking results show follow-up studies of these phenolic acids as JAK inhibitors may be indicated. Furthermore, derivatives of SalC, RosA, CY and SalA can yield better binding affinity or bioavailability scores, indicating that their structures may be suitable as scaffolds for the design of new JAK inhibitors.
What Drives Experiential Outcomes? The Case of Triple Stimulus Vouchers

Abstract This study aims to examine the relationships between the dimensions of experiential motivation and experiential relationship quality, experiential participation and experiential outcomes. The study findings are based on structural equation modeling of a convenience sample of 557 tourists purchasing travel products using triple stimulus vouchers in the Taipei Tourism Expo, indicating that the proposed model fits the data. The analysis results contribute to the services marketing theory by providing additional insights into the dimensions of experiential motivation and experiential relationship quality, experiential participation and experiential outcomes. These findings are discussed in terms of both academic and practitioner implications.
Energy Performance of a New Stirling Micro Cogenerator

Abstract The simultaneous production of heat and power at a small-scale is already a well known technique. Cogeneration is one of the main ways to bring about decentralized, embedded, localized and/or autonomous power production. However, it is still a challenge to design cogenerators to be below 10 kW as required for the smallest applications such as providing heat and power to a single house (see Fig.1). This paper specifically introduces a Stirling micro-cogeneration system whose nominal power is 1 kW. The system connects a new “double-effect” Stirling engine with a linear induction generator. The connection is done via the engine’s piston that serves also as the secondary (mover) of the generator. First of all, the system is described, then, a state-space model of the co-generator under steady-state oscillatory conditions is presented in order to synthesize a controller that ensures robust stability and desired performances through the resistant effort created by the generator on the piston. Finally, an real rotating emulator is developed to study the energetic viability of the cogenerator.
Flexible Third Harmonic Voltage Modulation of Boost Seven-Level Active Neutral-Point-Clamped Inverter With Reduced Voltage Ripple

The switched-capacitor of boost seven-level active neutral-point-clamped inverter has the large voltage ripple due to its inherent long discharging interval. Aiming at reducing the switched-capacitor voltage ripple and subsequently the capacitance, this article proposes a flexible third harmonic voltage modulation method. In specific, the long discharging interval can be divided into short intervals or even avoided by flexibly regulating the amplitude and phase-angle of third harmonic voltage based on various modulation indexes and power factors. An offline particle swarm optimization algorithm is employed to find the corresponding optimal amplitude and phase-angle of third harmonic voltage, which will further be put into the online look-up table to simplify the real time implementation. Experimental results verified the performance of the proposed modulation method.
Compact multi frequency strip loaded microstrip patch antenna with spur-lines

In this paper a new design of compact single layered triangular slotted microstrip patch antenna with spur lines and strip loading is proposed. It has been experimentally investigated that strip loading causes more size reduction where spur lines and triangular slot introduces multi frequency operation of microstrip patch antenna. The size reduction has been found to be 87% for the proposed antenna. In this article the effect of strip loading and spur lines over compactness are individually analyzed.
Predicting first grade students’ writing proficiency

ABSTRACT This study aimed to investigate the predictability of writing development and if scores on a writing test in the first weeks of first grade accurately predict students’ placements into different proficiency groups. Participants were 832 first grade students in Norway. Writing proficiency was measured twice, at the start and at the end of first grade (time 1 and time 2, respectively). Multilevel linear regression analysis showed that writing proficiency measures at time 1 were significant predictors of writing proficiency at time 2. The results also showed that measures at time 1 could identify students running the risk of not meeting expectations with high precision. However, the results also revealed a substantial proportion of false positives. The results are interpreted and discussed from a formative writing assessment perspective.
Understanding Banding - Perceptual Modelling and Machine Learning Approaches for Banding Detection

Banding is an annoying visual artifact that frequently appears at various stages along the chain of video acquisition, production, distribution and display. With the thriving popularity of ultra-high definition, high dynamic range, wide color gamut content, and the increasing user expectations that follow, the banding effect has been attracting a growing deal of attention for its strong negative impact on viewer experience in visual content that could otherwise have nearly perfect quality. Here we present two different types of frameworks to detect the banding artifact. The first is knowledge-driven and is built upon computational models that account for the characteristics of the human visual system, the content acquisition, production, distribution and display processes, and the interplay between them. The second is data-driven, and is based on machine learning methods, by training deep neural networks with large-scale datasets.
Strategic project management concept for executing research and development projects in public research organisations in Nigeria : an empirical study

As observed from the reviewed literature, the execution of research and development (R and D) projects in Nigeria is challenged by many social, political and economic factors interacting in complex and dynamic ways. This interaction is reflected in the history of science and technology in Nigeria, its culture, legal systems, institutional frameworks and social capital. The economic and social development of Nigeria is critically dependent upon the ability to establish a competitive, productive and efficient industrial sector built on a strong technology base. This implies that her natural resources must be developed and utilised as inputs to industrial production and as direct products to improve the life of the population. Public research organisations (PROs) are considered to be critical to the survival of industries and to the achievement of self-reliance through the use of locally available raw materials. This thesis explores the application of strategic project management (SPM) practices in the execution of R and D projects in PROs in Nigeria. The research employed a mixed method of quantitative and qualitative research in order to capture the experiences of project management practitioners with SPM practices in PROs in Nigeria. Although areas of variations in practice were identified, the major findings highlighted that there was a gap in the practical implementation of SPM. The findings also revealed key determinants associated with the implementation of SPM and the factors that affected its application in PROs in Nigeria. The research findings were further synthesised into a framework, capturing ten key dimensions that must be taken into account in the execution of research and development projects. The determinants include having a project-based organisational structure, top management involvement in the project execution, strategic project leadership style, the appointment of a project team, the project team's competence, project alignment with organisational strategy, project prioritisation and selection, maximising R and D strategy, the project management process, and the SPM process. The framework validation was a follow-up discussion, which was conducted with project management practitioners in the selected research organisations in Nigeria. Reflecting on their experiences in the management of R and D projects, the participants acknowledged that the proposed SPM framework and its ten key variables were fundamental to the effective execution of R and D projects in PROs in Nigeria. It was concluded that the use of such a framework would highlight areas that needed to be addressed in order to achieve effective execution of R and D projects in these organisations.
SELECTION OF TARGET SPECIES FOR MARINE PROTECTED AREAS: A MULTI CRITERIA APPROACH USING BENTHIC ORGANISMS

The selection of optimal target species to define and manage protected marine areas (MPAs) has generated a great scientific discussion during the past decades. Benthic invertebrates are commonly less considered as important target species, despite their pivotal role in marine ecosystems. To address this issue, we determined target species among benthic marine organisms using a multi-criteria approach. For this purpose, we used a data base from the Katalalixar National Reserve (RNK) in central Patagonia, Chile. The data were obtained through underwater photography and quantitative sampling by means of scuba diving during three expeditions between 2017 and 2019. Based on the total taxonomical inventory from both methods, a SIMPER analysis was used to determine 10 candidate species, and the Landscape Selection Species program was used for the selection of target species. Finally, eight target species were selected. The black snail Tegula atra, the hermit crab Pagurus comptus, the gastropod Crepipatella dilatata, and the polychaete Platynereis australis were selected among errant species. Among sessile species, the encrusting coralline algae Lithothamnium sp. , the sea anemone Actinostola chilensis, the parchment worm Chaetopterus variopedatus, and the encrusting ascidia Didemnum sp. were the selected species. Based on our results we expect that these species will be included as target species in future management plans to improve protection of the marine environment of the Katalalixar National Reserve, one of the most pristine areas of the Chilean fjord region. Keywords: macroinvertebrates, macroalgae, biodiversity, Patagonia.
Relative humidity sensor based on SMS fiber structure using multimode coreless fiber

Singlemode-Multimode-Singlemode (SMS) optical fiber structure using multimode coreless have been able to sense changes in relative humidity. In this experiment the measured humidity is 60 % -90 %, while the method is done by comparing the relative humidity changes with the change in output power in the optical fiber. Then the underlying phenomena is the change in the refractive index of air as the cladding MMF coreless due to changes in relative humidity. It has been done three length variations MMF coreless to add sensitivity sensor, and the obtained sensor by 22.30 mm MMF length have the greatest sensitivity, that is 0.0747 dBm / %. Obtained conclusions on length variation will cause any change in the sensitivity significantly in relative humidity between 75 % -80 %.
Aquabolt-XL HBM2-PIM, LPDDR5-PIM With In-Memory Processing, and AXDIMM With Acceleration Buffer

Processing-in-memory (PIM) has been proposed to improve the performance of bandwidth-intensive workloads as well as save energy due to reduced compute-memory data movement. To realize PIM, programmable computing units were integrated with memory cores on an HBM2 device to enable parallel processing and minimize data movement. A graphics processing unit (GPU) system equipped with Samsung Aquabolt-XL HBM2-PIM devices improved microkernel general matrix–vector multiplication and speech recognition applications by 8.9× and 3.5×, respectively, and reduced energy consumption by over 60%. In a Xilinx AlveoU280 system, microkernel GEMV and ADD workload performances improved by 2.8×, and long short-term memory workload improved by 2.54×. Simulations show that a performance gain of over 2.3× may be attained in a system with LP5-PIM for certain transformer-based speech recognition with an energy reduction of 86%. In addition, AXDIMM, a DIMM-level PIM with acceleration buffers, exhibits an 80% performance improvement and a 42.6% energy savings over a regular RDIMM system.
Electronics for Microwave Backhaul

The book presents an overview of the electronics of mobile network backhaul. Infrastructure planning, architecture evolution, digital controls, and countermeasures, highlighting the building blocks of specific backhaul features. Tx and Rx design and antenna requirements and covered while examining the overall construction of the microwave radio hardware blocks. Single blocks are explored: the antenna, the analog transmitter and receiver, and the modem, recalling the most important aspects of transport networks and microwave link dimensioning. Essential theory is provided for each hardware block with an emphasis on present solutions.
Immunogenicity, Effectiveness, and Safety of Inactivated Virus (CoronaVac) Vaccine in a Two-Dose Primary Protocol and BNT162b2 Heterologous Booster in Brazil (Immunita-001): A One Year Period Follow Up Phase 4 Study

Background Effective and safe vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are critical to controlling the COVID-19 pandemic and will remain the most important tool in limiting the spread of the virus long after the pandemic is over. Methods We bring pioneering contributions on the maintenance of the immune response over a year on a real-life basis study in 1,587 individuals (18-90 yrs, median 39 yrs; 1,208 female/379 male) who underwent vaccination with two doses of CoronaVac and BNT162b2 booster after 6-months of primary protocol. Findings Elevated levels of anti-spike IgG antibodies were detected after CoronaVac vaccination, which significantly decreased after 80 days and remained stable until the introduction of the booster dose. Heterologous booster restored antibody titers up to-1·7-fold, changing overall seropositivity to 96%. Titers of neutralising antibodies to the Omicron variant were lower in all timepoints than those against Delta variant. Individuals presenting neutralising antibodies against Omicron also presented the highest titers against Delta and anti-Spike IgG. Cellular immune response measurement pointed out a mixed immune profile with a robust release of chemokines, cytokines, and growth factors on the first month after CoronaVac vaccination followed by a gradual reduction over time and no increase after the booster dose. A stronger interaction between those mediators was noted over time. Prior exposure to the virus leaded to a more robust cellular immune response and a rise in antibody levels 60 days post CoronaVac than in individuals with no previous COVID-19. Both vaccines were safe and well tolerated among individuals. Interpretation Our data approach the effectiveness of CoronaVac association with BNT162b2 from the clinical and biological perspectives, aspects that have important implications for informing decisions about vaccine boosters. Funding Fiocruz, Brazil.
Mesenchymal Stem/Stromal Cells in Organ Transplantation

Organ transplantation is essential and crucial for saving and enhancing the lives of individuals suffering from end-stage organ failure. Major challenges in the medical field include the shortage of organ donors, high rates of organ rejection, and long wait times. To address the current limitations and shortcomings, cellular therapy approaches have been developed using mesenchymal stem/stromal cells (MSC). MSC have been isolated from various sources, have the ability to differentiate to important cell lineages, have anti-inflammatory and immunomodulatory properties, allow immunosuppressive drug minimization, and induce immune tolerance towards the transplanted organ. Additionally, rapid advances in the fields of tissue engineering and regenerative medicine have emerged that focus on either generating new organs and organ sources or maximizing the availability of existing organs. This review gives an overview of the various properties of MSC that have enabled its use as a cellular therapy for organ preservation and transplant. We also highlight emerging fields of tissue engineering and regenerative medicine along with their multiple sub-disciplines, underlining recent advances, widespread clinical applications, and potential impact on the future of tissue and organ transplantation.
Acts of racial microdefense: embodied whiteness in social studies teacher education

ABSTRACT Embodied whiteness within teacher education operates in resistance to pedagogies, curriculum, discourse, and policy that seek to disrupt the influence of white supremacy in education. This study explores how five white pre-service teachers at a predominantly white institution (PWI) embodied whiteness as acts of racial microdefense to learning to teach for anti-racism in a social studies method course. Findings indicate that racial microdefense was utilised to project and promote the continued influence of whiteness within secondary social studies teacher education. Implications for teacher education are discussed.
Mesenchymal Stem Cells and their Derived Exosomes Promote Malignant Phenotype of Polyploid Non-Small-Cell Lung Cancer Cells through AMPK Signaling Pathway

Chemotherapy is an important method for the treatment of non-small-cell lung cancer (NSCLC), but it can lead to side effects and polyploid cancer cells. The polyploid cancer cells can live and generate daughter cancer cells via budding. Mesenchymal stem cells (MSCs) are pluripotent stem cells with repair and regeneration functions and can resist tissue damage caused by tumor therapy. This study is aimed at investigating the effects of MSCs and their derived exosomes on the biological characteristics of polyploid NSCLC cells and the potential mechanisms. We found that MSC conditioned medium (CM), MSCs, and MSC-exosomes had no effect on cell proliferation of the polyploid A549 and H1299 cells. Compared with the control group, MSCs and MSC-exosomes significantly promoted epithelial mesenchymal transformation, cell migration, antiapoptosis, and autophagy in the polyploid A549 and H1299 by activating AMPK signaling pathway, but no significant changes were observed in MSC-CM treatment. These results revealed that MSCs and MSC-exosomes promoted malignant phenotype of polyploid NSCLC cells through the AMPK signaling pathway.
Performance of a Hybrid Neural-Based Framework for Alternative Electricity Price Forecasting in the Smart Grid

Electricity forecasting is an essential task for energy management systemsof microgrids deployed in smart grids. Accurate price forecasting will eventuallyenhance the economic operation of microgrids. In this regard, theliterature is rich with studies focused on predicting electricity price datausing artificial neural networks. However, most of them consider a singlemodel such as multi-layer perceptron (MLP) and radial basis function (RBF)to perform electricity price forecasting. In this paper, a hybrid frameworkbased on simultaneously utilizing MLP-RBF neural networks is presented topredict the Iranian electricity market price. In addition, few works in literatureconsidered Iran’s electricity market as their case of analysis and investigation.Forecasting results indicate that MLP neural networks outperform theRBF neural networks. The values for the coefficient of determination (R) corresponding to MLP and RBF neural networks are obtained 0.55 and 0.44,respectively. However, the proposed hybrid framework performed better thanboth MLP and RBF models with R-value equal to 0.71. In addition to this,the MSE and RMSE values show the superiority of the proposed method tothe single methods.
Ability of an acoustic Doppler current profiler tomeasure turbulence and mixing

A method is proposed to measure the transverse mixing coefficient using an acoustic Doppler current profiler (ADCP). Comparisons between measurements from an ADCP and an acoustic Doppler velocimeter (ADV) for mean velocity, Reynolds stress and turbulent kinetic energy (TKE) are used to determine the ability of ADCPs to measure turbulence quantities. Profiles collected show the effects of beam geometry in measuring velocities. ADCP data for mean velocity and Reynolds stress are used in the proposed method for estimating transverse mixing. Empirical formulas for calculating the transverse mixing coefficient are computed using data collected from both the ADCP and ADV. The empirical estimates are compared between instruments and with the proposed method. Estimates from the proposed method show the most agreement with the estimate of Fischer et al. (1979), which is believed to be the most accurate empirical estimate for the laboratory flume.
ATM4E: A concept for environmentally-optimized aircraft trajectories

Trajectory optimisation is one option to reduce air traffic impact on environment. A multidimensional environmental assessment framework is needed to optimize impact on climate, local air quality and noise simultaneously. An interface between flight planning and environmental impact information can be established with environmental cost functions. In a feasibility study such multidimensional assessment can be applied to the European Airspace. The project ATM4E within the frame of SESAR2020 has spelled out the objective to develop such a concept and to study changing traffic flows due to environmental optimisation.