Miracle-dz/UniFAR-FTUs huggingface dataset:
ARNTL2 is a Prognostic Biomarker and Correlates with Immune Cell Infiltration in Triple-Negative Breast Cancer

Background Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype and is associated with poor prognosis. The aberrant expression of circadian genes contributes to the origin and progression of breast cancer. The present study was designed to explore the potential function and prognosis value of circadian genes in TNBC. Methods The transcriptome data of circadian genes were downloaded from The Cancer Genomic Atlas (TCGA), GSE25066 and GSE31448 datasets. The differential expressed circadian genes between non-TNBC and TNBC patients were analysed by Wilcoxon test. Univariate and multivariate Cox regression analyses were employed to identify the prognostic circadian genes. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Set Enrichment Analysis (GSEA) were performed to study the biological functions of ARNTL2. The composition of 22 immune cells in the tumour samples was estimated with CIBERSORT algorithm. The correlations between ARNTL2 expression and tumour-infiltrating immune cells were evaluated by Spearman correlation coefficient. Results A total of 8 circadian genes were found to be differentially expressed between non-TNBC and TNBC, but only ARNTL2 has prognostic value. Multivariate Cox analysis identified that ARNTL2 was an independent prognosis factor for overall survival and relapse-free survival in TNBC patients. Functionally, ARNTL2 was mainly involved in immune response processes such as positive regulation of cytokine production, regulation of innate immune response, and cellular responses to molecules of bacterial origin. High expression of ARNTL2 was positively correlated with activated CD4 memory T cells, activated mast cells, and neutrophil infiltration and the expression of markers of neutrophils (ITGAM), dendritic cells (HLA-DRA, HLA-DPA1, ITGAM), Th1 (IL1B, STAT1), Th2 (IL13), Th17 (STAT3) and mast cells (TPSB2, TPSAB1). Conclusion ARNTL2 may be linked with the functional modulation of the tumour immune microenvironment and serve as a potential biomarker for predicting the prognosis of TNBC patients.
Retail Florists Use Novel Sales Approaches during the COVID-19 Pandemic

Retail florists in the United States were surveyed from Oct. to Nov. 2020 to document business practices and innovative approaches to marketing, designing, and delivering flowers during Mar. to Sept. 2020 of the coronavirus disease (COVID-19) pandemic. Slightly less than half of the responding florists (45.0%) closed operations for an average of 31 to 60 days (15.6%). City or county COVID-19 restrictions caused 34% to close their storefronts to customers. Nearly all offered no-contact delivery service. Approximately one-third of these florists used social media marketing consisting of still images and video posts, and a similar number offered no-contact shopping options. Two-thirds of the florists made no changes to the way they designed flowers (60.6%). Event-oriented stores reorganized their business models and sought daily work to replace postponed or canceled wedding orders. Three-fourths of the florists who terminated employees because of shutdowns hired or planned to rehire all terminated employees.
Evaluation of parity equations for gyro failure detection and isolation /FDI/ in a skew-redundant octahedron configuration

A set of seven unique parity equations (linear dependence relationships) are derived for an octahedron inertial measurement unit (IMU) having six skew-redundant sensing axes. Single and dual axis gyro failure detection and isolation (FDI) algorithms, utilizing the parity equations, are evaluated for a typical Earth launch to geosynchronous orbit mission. The IMU implemented with single degree-ot-freedoni gyros had better FDI characteristics but was relegated in favor of the more cost effective IMU with two degree-of-freedom gyros. A life cycle cost analysis showed that to be more cost effective the latter IMU was required to yield an FDI probability greater than 0.98 with false alarm rate less than 0.001. This capability was verified by Monte Carlo simulation. HE requirement for high reliability and low life-cycle cost in a production program involving many vehicles makes the selection of a skew-redundant strapdown inertial measurement unit (IMU) an attractive choice. Gimbaled orthogonal platform systems which provide single-point failure protection require triple modular redundancy (TMR) implementation with a significant penalty in size, weight, power, and production cost. The decision to go skewed is complicated somewhat by the need to provide a highly effective instrument "soft" failure detection and isolation (FDI) algorithm. A TMR system can simply vote each set of three independent redundant axes and thereby avoid the need for special algorithms for failure detection and isolation. Soft failures are, by definition, undetectable with built-in test equipment (BITE). They gradually degrade IMU performance and, if undetected, may cause end-of-mission (EOM) accuracy specifications to be violated. The effectiveness of an FDI algorithm is measured by how likely it is to detect and correctly isolate (cover) a soft failure before it has a chance to jeopardize mission success. At the same time the algorithm must not have a high probability for false alarm (i.e., inadvertently causing the removal of a good instrument). Several different types of FDI algorithms have been developed and/or evaluated by numerous authors.J'3 One of the most attractive, from the point of view of ease of implementation in an airborne digital computer (ADC), is the parity equation algorithm. This paper presents results of an analysis of parity equation efficacy for two strapped-down skewed IMU's. A. Description of Skewed IMU's Figure 1 illustrates the IMU type discussed in the paper. This is the so-called octahedron configuration. The body frame is shown as XNB, YNB, ZNB with the instrument input axes labeled numerically 1 through 6. Each axis contains a gyro and an accelerometer. Complimentary axes in the octahedron IMU (i.e., 1 and 2, 3 and 4, and 5 and 6) make angles of 90 deg with each other and are symmetrically placed with respect to the body system. That is to say, instruments 1 and 2 both are inclined 45 deg with respect to the ZNB body axis, 3 and 4, 45 deg with respect
Front End Innovation: on Identifying Value-Adding Opportunities

Purpose: The main purpose of this thesis is to increase the understanding of how companies in general, and for the Case Company in particular, can identify and analyse value-adding opportunities to an existing business model. Sub purposes: - Create and suggest a theoretical framework in order to identify and analyse value-adding opportunities to a business model. - Identify and analyse value-adding opportunities to the Case Company’s business model. - Validate the created and suggested theoretical framework. Methodology: Based on the purpose of this study, a qualitative case study with an abductive approach was chosen for this thesis. The data collection mainly includes internal secondary data gathered from a Case Company, as well as external secondary data and semi-structured qualitative interviews. Theoretical Framework: The empirical data has been collected and analysed with a framework developed in this thesis called the Structured Front End Innovation model. This model is a composition of concepts and theories within the theoretical sphere around Front End Innovation, understanding the market and understanding the organization. The model is an attempt to give an increased understanding for identifying and v analysing value-adding opportunities to an existing business model. The context has been analysed using Peter E. Koen’s model for new concept development as a theoretical foundation. More specifically, an integrated view of stakeholders need, a business model, and value- adding opportunities into a revised Front End Innovation model. The Structured Front End Innovation model consists of three main elements: influencing factors, opportunity identification and opportunity analysis. The framework should be used with a non-solution oriented approach and with possible iterations between the elements. Furthermore, since the framework is a schematic guide, the practitioner needs to adjust and adapt the framework towards the specific case. Conclusions: The Structured Front End Innovation model has been developed and empirically tested through a case study. From the case study, the framework has been validated and suggested to be useful as a schematic guide to identify and analyse value-adding opportunities to an existing business model, in the front end of innovation. The framework will hopefully help practitioners who want to enrich their business model, by giving them a structured hands-on approach.
A Novel Method to Assess Motor Cortex Connectivity and Event Related Desynchronization Based on Mass Models

Knowledge of motor cortex connectivity is of great value in cognitive neuroscience, in order to provide a better understanding of motor organization and its alterations in pathological conditions. Traditional methods provide connectivity estimations which may vary depending on the task. This work aims to propose a new method for motor connectivity assessment based on the hypothesis of a task-independent connectivity network, assuming nonlinear behavior. The model considers six cortical regions of interest (ROIs) involved in hand movement. The dynamics of each region is simulated using a neural mass model, which reproduces the oscillatory activity through the interaction among four neural populations. Parameters of the model have been assigned to simulate both power spectral densities and coherences of a patient with left-hemisphere stroke during resting condition, movement of the affected, and movement of the unaffected hand. The presented model can simulate the three conditions using a single set of connectivity parameters, assuming that only inputs to the ROIs change from one condition to the other. The proposed procedure represents an innovative method to assess a brain circuit, which does not rely on a task-dependent connectivity network and allows brain rhythms and desynchronization to be assessed on a quantitative basis.
Favourable slot and pole number combinations for fault-tolerant PM machines

A new approach is described for selecting pole and slot numbers for fault-tolerant permanent-magnet machines so that there is inherently negligible coupling between phases (regardless of other design detail). The preferred slot and pole number combinations thereby help to ensure that a fault in one phase does not undesirably affect the remaining unfaulted phases. Other well-known criteria for fault-tolerant operation, including high phase inductance, also have to be met. It is demonstrated how particular slot and pole combinations can be used to eliminate low pole number armature MMF, thereby reducing the vibration and stray loss present during normal operation.
Modulation of a defined community of
 Oenococcus oeni
 strains by
 Torulaspora delbrueckii
 and its impact on malolactic fermentation

Background and Aims: Torulaspora delbrueckii is being used increasingly as a starter for alcoholic fermentation (AF) because of its chemical modulation of wine. Previous studies on this yeast in a natural must have shown a different Oenococcus oeni population by the end of MLF. In this study we aim to evaluate this aspect in a defined O. oeni strain consortium in a sterile grape must during winemaking. Methods and Results: Before commencing AF with either S. cerevisiae or both T. delbrueckii and S. cerevisiae, the must was inoculated with a defined population of O. oeni strains. The use of T. delbrueckii determined the bacterial population at the end of MLF. Also, the inoculation of a selected strain after AF produced wines with different chemical composition to those fermented with the initial bacterial community. Conclusions: Different yeast inoculation strategies modulate the O. oeni population, and this has an impact on the chemical composition of the wines. Moreover, the inoculation of a small O. oeni population in must leads to a process similar to spontaneous MLF. Significance of the Study: Torulaspora delbrueckii can be used as a tool to modulate the O. oeni population and enhance the aromas related to MLF.
Study on the Campus Smart Card System based on SaaS

The smart card system has become an essential part of the digital campus. Recently the solutions based on SaaS in China have become popular for the advantages of less upfront investment, good service quality and convenience maintainability. But in colleges and universities there are many challenges. In this paper, we discussed the solutions for three challenges: personalized demand, system integration and information utilization. Firstly, it was suggested that different users should select the private cloud or public cloud mode. Next, the campus smart card system model based on SaaS was proposed. The model with layered architecture has good configurability, flexibility and integration metrics. Then, several methods were put forward to solve the integration between the card systems with other information systems. In addition, the IA theory was applied in the information retrieval, and the intelligent analysis examples of the card business data were discussed. At last we considered five kinds of configurability: data, function, workflow, portal and smart card, and a configurability management system based on metadata was presented.
A Modified Evaporation Model Indicates That the Effects of Air Warming on Global Drying Trends Have Been Overestimated

Potential evapotranspiration (PET) is a key input to hydrologic models simulating the atmospheric water demand. Thus, uncertainties in PET would result in considerable uncertainty in model outputs. Among numerous PET algorithms, the Penman‐Monteith equation (PM equation) is most widely used because of its clear physical basis and acceptable estimation. However, PM equation has a physical limitation resulting from the linear approximation of the saturation water vapor pressure differences between the evaporation surface and the surrounding air, which can affect markedly the responses of PET to air warming. By considering a modified PM‐type evaporation model, we revisited the global drying trends based on the widely used Palmer Drought Severity Index (PDSI). We demonstrate that the studies, which based on the classic PM equation, often overestimate the effects of air warming on global drying trends. Particularly, the PET_PM (PET calculated using the classic PM equation) driven PDSI, overestimates global mean drought‐affected areas by 60%, drought intensity by 65%, and drought duration by 35% on average over the globe, and tends to overestimate drying trends in areas that are drying and underestimate wetting trends in areas that are becoming wetter.
An adaptive fuzzy-logic procedure for ranking logical sensory performance

Multiple sensors are necessary for mobile robot operation in unknown environments. The multitude of sensors must be fused. For reliable fusion it is important to determine the performance of each sensor. A sensor ranking procedure based on an adaptive fuzzy logic algorithm for sensor fusion was developed. The procedure assumes unknown a-priori sensory performance and ranks the sensors according to their noise rates. The ranking procedure and its analysis are presented in this paper.
Robust RGBD Visual Odometry Using Windowed Direct Bundle Adjustment and Slanted Support Plane

This letter presents a robust, real-time visual odometry that efficiently exploits the available visual and geometry cues from RGB-D frames for both tracking and mapping. Together with a hybrid tracking algorithm based on a joint multi-objective formulation, we additionally incorporate the point-to-plane metrics into the photometric bundle adjustment (PBA) to constrain the iteration direction especially for those weakly-textured points. The relative pose constraints derived from optimized poses via PBA is then leveraged in combination with reprojection constraints retrieved from maintained feature map, to refine keyframe poses and feature locations. Moreover, the slanted support plane commonly used in multi-view stereo matching, is utilized for the adjustment of the semi-dense points to further enhance mapping accuracy that in turn benefits the front-end tracking. We extensively evaluate our algorithm on benchmark datasets, and those experimental results validate the advantage of our method in terms of overall tracking performance over other representative approaches.
Uranium (VI) Adsorbate Structures on Portlandite [Ca(OH)2] Type Surfaces Determined by Computational Modelling and X-ray Absorption Spectroscopy

Portlandite [Ca(OH)2] is a potentially dominant solid phase in the high pH fluids expected within the cementitious engineered barriers of Geological Disposal Facilities (GDF). This study combined X-ray Absorption Spectroscopy with computational modelling in order to provide atomic-scale data which improves our understanding of how a critically important radionuclide (U) will be adsorbed onto this phase under conditions relevant to a GDF environment. Such data are fundamental for predicting radionuclide mass transfer. Surface coordination chemistry and speciation of uranium with portlandite [Ca(OH)2] under alkaline groundwater conditions (ca. pH 12) were determined by both in situ and ex situ grazing incidence extended X-ray absorption fine structure analysis (EXAFS) and by computational modelling at the atomic level. Free energies of sorption of aqueous uranyl hydroxides, [UO2(OH)n]2–n (n = 0–5) with the (001), (100) and (203) or (101) surfaces of portlandite are predicted from the potential of mean force using classical molecular umbrella sampling simulation methods and the structural interactions are further explored using fully periodic density functional theory computations. Although uranyl is predicted to only weakly adsorb to the (001) and (100) clean surfaces, there should be significantly stronger interactions with the (203/101) surface or at hydroxyl vacancies, both prevalent under groundwater conditions. The uranyl surface complex is typically found to include four equatorially coordinated hydroxyl ligands, forming an inner-sphere sorbate by direct interaction of a uranyl oxygen with surface calcium ions in both the (001) and (203/101) cases. In contrast, on the (100) surface, uranyl is sorbed with its axis more parallel to the surface plane. The EXAFS data are largely consistent with a surface structural layer or film similar to calcium uranate, but also show distinct uranyl characteristics, with the uranyl ion exhibiting the classic dioxygenyl oxygens at 1.8 Å and between four and five equatorial oxygen atoms at distances between 2.28 and 2.35 Å from the central U absorber. These experimental data are wholly consistent with the adsorbate configuration predicted by the computational models. These findings suggest that, under the strongly alkaline conditions of a cementitious backfill engineered barrier, there would be significant uptake of uranyl by portlandite to inhibit the mobility of U(VI) from the near field of a geological disposal facility.
Direct assessment of individual connotation and experience An introduction to cognitive-affective mapping

Abstract. We introduce cognitive-affective maps (CAMs) as a novel tool to assess individual experiences and belief systems. CAMs were first presented by the cognitive scientist and philosopher Paul Thagard as a graphical representation of a mental network, visualizing attitudes, thoughts, and affective connotations toward the topic of interest. While CAMs were originally used primarily to visualize existing data, the recent release of the new software tool Valence has facilitated the applicability of CAMs for empirical data collection. In this article, we explain the concept and the theoretical background of CAMs. We exemplify how CAMs can be applied in research practice, including different options for analysis. We propose CAMs as a user-friendly and versatile methodological bridge between qualitative and quantitative research approaches and encourage incorporating the method into studies to access and visualize human attitudes and experience.
A Skull-Stripping Filter for ITK

Skull-stripping (or brain extraction) is an important pre-processing step in neuroimage analysis. This document describes a skull-stripping filter implemented using the Insight Toolkit ITK, which we named itk::StripTsImageFilter. It is a composite filter based on existing ITK classes. The filter has been implemented with usability, robustness, speed and versatility in mind, rather than accuracy. This makes it useful for many pre-processing tasks in neuroimage analysis. This paper is accompanied by the source code, input data and a testing environment.
Modeling and transient simulation of planes in electronic packages for GHz systems

This paper presents a modeling and simulation approach for ground/power planes in high speed packages. The electrical characteristics of a plane structure are derived in terms of an impedance (Z) or scattering (S) matrix at port locations in the frequency domain by solving Maxwell's equations. Since the solution is a closed form equation, the frequency and transient response can be computed efficiently, requiring small computing time. The response of the plane structure has been captured using rational functions. These functions, which are SPICE-compatible, enable the connection of plane models to the rest of the package for simulation. The frequency and transient response computed using the analytical expression and rational functions have been compared against measurements. The simulation results show good correlation with measured data.
High performance direct torque control of electrical aerodynamics load simulator using adaptive fuzzy backstepping control

Electrical load simulator is hardware in the loop simulator used to exert real-time aerodynamics loads on the servo actuation system of a flight vehicle under test according to flight conditions. This article investigates direct torque control of electrical load simulator system using adaptive fuzzy backstepping method. To analyze the effect of extra torque disturbance on electrical load simulator system, detailed mathematical formulations are derived. Considering practical aspects of the proposed method, state vector is estimated using a state predictor, and parameters of the system are estimated using algebraic method. Fuzzy logic system is used to estimate extra torque disturbance acting on electrical load simulator system, but the approximation error may not converge to zero, which may affect control performance. Similarly, the parameters of the system may vary with time; thus the lumped disturbance due to time variation of parameters and fuzzy approximation error is compensated using adaptive control law derived based on estimated error dynamics between actual plant and state predictor. Moreover, to improve transient response, a novel saturation function-based transient performance controller is introduced. The performance of the proposed control is verified using extensive numerical simulations.
Research of DSP Code Generation Based on Matlab-DSP Integrated Design

The super capacitor can effectively prolong the operation of the energy storage system, improve its economic performance and power output capacity. But the design of the super capacitor is not perfect, the design method is also very troublesome.In this paper, through studying the different implementations of Matlab - DSP integrated design methods,I tried to find the optimal method to achieve the most simple and rapid Matlab - DSP integrated design. Build models in the Simulink, complete the design of the model, and convert it to DSP assembly language and download to the target board. The main process of this method is that the above steps. Apply this method in the design of the super capacitor , we can greatly speed up the development speed.