Miracle-dz/UniFAR-FTUs huggingface dataset:
An Assessment of the Predictive Performance of Current Machine Learning–Based Breast Cancer Risk Prediction Models: Systematic Review

Background: Several studies have explored the predictive performance of machine learning–based breast cancer risk prediction models and have shown controversial conclusions. Thus, the performance of the current machine learning–based breast cancer risk prediction models and their benefits and weakness need to be evaluated for the future development of feasible and efficient risk prediction models. Objective: The aim of this review was to assess the performance and the clinical feasibility of the currently available machine learning–based breast cancer risk prediction models. Methods: We searched for papers published until June 9, 2021, on machine learning–based breast cancer risk prediction models in PubMed, Embase, and Web of Science. Studies describing the development or validation models for predicting future breast cancer risk were included. The Prediction Model Risk of Bias Assessment Tool (PROBAST) was used to assess the risk of bias and the clinical applicability of the included studies. The pooled area under the curve (AUC) was calculated using the DerSimonian and Laird random-effects model. Results: A total of 8 studies with 10 data sets were included. Neural network was the most common machine learning method for the development of breast cancer risk prediction models. The pooled AUC of the machine learning–based optimal risk prediction model reported in each study
The cultural adaptation of web design to local industry styles : a comparative study

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Frame Alignment Stability Issues in Natural Field Orientation

Natural field orientation (NFO) is a technique for generating a rotating reference frame position for an induction machine aligned with the stator flux. The term ldquonaturalrdquo is applied because there is an implicit tendency for the rotating frame to realign with the correct stator flux frame position if there is a perturbation away from this position. However, under regeneration conditions this realignment property does not occur, and the frame position, if perturbed, will move the control reference frame away from stator flux alignment. This paper examines this frame alignment stability problem and proposes a solution that retains the features and simplicity of the NFO concept.
The Transient versus the Equilibrium Response of Sea Ice to Global Warming

AbstractTo examine the long-term stability of Arctic and Antarctic sea ice, idealized simulations are carried out with the climate model ECHAM5/Max Planck Institute Ocean Model (MPI-OM). Atmospheric CO2 concentration is increased over 2000 years from preindustrial levels to quadrupling, is then kept constant for 5940 years, is afterward decreased over 2000 years to preindustrial levels, and is finally kept constant for 3940 years.Despite these very slow changes, the sea ice response significantly lags behind the CO2 concentration change. This lag, which is caused by the ocean's thermal inertia, implies that the sea ice equilibrium response to increasing CO2 concentration is substantially underestimated by transient simulations. The sea ice response to CO2 concentration change is not truly hysteretic and is in principle reversible.The authors find no lag in the evolution of Arctic sea ice relative to changes in annual-mean Northern Hemisphere surface temperature. The summer sea ice cover changes linearly w.
LANDSCAPE PATTERN AND SPATIAL FEATURE OF LAND USE IN TAIPS COUNTY IN INNER MOGOLIA

Land-use map in 1995,2000,2008,and topographic maps were used to study landscape pattern and dynamic changes in Taips County as a typical case of Northern Farming-Grazing Transitional Belt in North China.Landscape ecology and quantitative analysis were used together with GIS to analyze changes in landscape pattern and spatial-temporal land use from 1995 to 2008.It was found that total area of forest has expanded accompanied by a reduction in farmland,grassland and wasteland.Landscape pattern analysis revealed spatial irregularity of farmland,grassland and forestland patches.Major features of land use dynamics were found to be a switch from farmland to forestland,mutual changes among farmland,grassland forestland and wasteland.Spatial distribution of different land areas presented a regularity following different altitudes,slope angles and orientations.Relevant government policies are the major external driving force for changes in land use,calling for more attention to socio-economic factors affecting land use changes.
Long-lasting Effects of a Prosocial Counter-Misinformation Intervention in an Informational Autocracy

Conservative voters have di�culties distinguishing fake from real news. In Hungarian representative data (N = 991) we found voters of the reigning populist, conservative party rated misinformation more accurate than real ones independently from the news’ political leaning and content. The question arises: what can psychological science do to make government supporters more motivated and capable in the long run to identify misinformation in this cultural, political, and historical context? Designing scalable misinformation-reducing interventions that have a sustainable effect in the long term is a challenge researchers are struggling to surmount. The present work demonstrates a social psychological randomized controlled trial intervention in which young adults (N = 473) were placed in an expert role and were requested to write a letter to digitally less competent relatives explaining six strategies that can help them to discern misinformation. Compared to the active control group, there was an immediate (d = 0.27) and four weeks later a general long-term effect (d = 0.30) on distinguishing fake news from real ones. This long-term effect was especially salient among participants who support the conservative populist government (d = 0.48). The present work is among the �rst providing comprehensive quantitative analysis on the gravity of the misinformation problem in an Eastern European country with a pioneering intervention attempt that can be appropriate to a context where misinformation appears regularly in the mainstream media.
Comment on “Computational periodicity as observed in a simple system,” by Edward N. Lorenz (2006a)

Systems of ordinary differential equations that exhibit chaotic responses have yet to be correctly integrated. So far no ‘convergent’ computational results have been determined for chaotic differential equations. Various computed numbers are not solutions of the continuous differential equations; all chaotic responses are simply numerical noise and have nothing to do with the solutions of differential equations. It would be an exciting contribution if a convergent computed chaotic solution for a Lorenz model could be obtained.
Emprendimiento e internacionalización temprana de una compañía innovadora

7 Introduccion 8 1. Marco referencial 10 1.1. Global Entreprenurship Monitor (GEM) 12 2. La empresa, sus productos y ventajas competitivas 17 2.1. Aliados 18 2.2. Clientes 19 3. Los inicios de Johanna en el emprendimiento 20 4. Origen de AFT 23 5. Puesta en marcha y posicionamiento de AFT 28 6. Innovacion 29 7. Contratando con las grandes empresas del pais 31 8. Proceso de internacionalizacion temprana de AFT 31 9. Crecimiento no controlado y rompimiento de relaciones 33 10. Reestructuracion y recuperacion 33 11. Lecciones aprendidas 35 12. Plan de ensenanza del caso 36 13. Preguntas del caso 37 Referencias 38
A Novel Metaheuristic Method: Gravitational-based Global Optimization

Metaheuristic optimization methods provide a satisfactory solution for complex engineering problems. In this study, a novel metaheuristic searching approach was proposed to tackle engineering problems. The relative slope-based gravitational searching algorithm, namely XAR, provides a novel searching strategy, which is built on the law of gravity and interaction of the inertia mass. Making to move the searching agents using the slope-based gravity is the original contribution to this work. Searching agents of the method, i.e., balls, evolutionarily move regarding the relative slope of the consecutive balls. The algorithm determines a set of resolutions by the numbers of the balls aggregated. In other words, the method converges to the area in search space, where the greatest number of agents is located. The algorithm has been tested on a wide range of benchmark function sets and a complex real-world engineering problem. The implementation results confirm a notable achievement for a diverse set of cost functions. The results demonstrate that the proposed algorithm achieves a notable achievement of global optimum compared to the state-of-the-art methods. Furthermore, a satisfactory rate of convergence for all functions was found. In other word, the method converges to the optimal position (minimum cost) in search space, where the greatest number of agents is located.
Em-Regulation of inflammation, antioxidant production, and methyl-carbon metabolism during methionine supplementation in lipopolysaccharide-challenged neonatal bovine hepatocytes

Supplementation of methionine (Met) may improve immunometabolic status, specifically during a period of inflammatory stress. The aim of the present study was to establish an inflammation model using primary neo-natal bovine hepatocytes and to examine the effects of increasing concentrations of dl-Met and a maintained Met to lysine (Lys) ratio on hepatocyte inflammatory responses, antioxidant production, and Met metabolism during lipopolysaccharide (LPS) challenge. Hepatocytes isolated from 4 calves were maintained as monolayer cultures and exposed to 0, 10, or 40 μ M dl-Met and 100 μ M Lys (0Met100Lys, 10Met100Lys, or 40Met100Lys) or 10 μ M dl-Met and 25 μ M Lys (10Met25Lys). Cells were exposed to each treatment for 16 h and then challenged with either 0 or 100 ng/mL of LPS for 8 h. In the absence of LPS, glutathione (GSH) was not altered by 10Met100Lys or 10Met25Lys but was increased by 40Met100Lys. With LPS challenge, GSH concentration was decreased with 40Met100Lys and tended to be decreased with 10Met100Lys. Hepatocytes receiving 10Met100Lys treated with 100 ng/mL of LPS showed an inflammatory response with increased mRNA expression of tumor necrosis factor ( TNFα ), IL-6 , IL-1β , and interferon gamma, which was accompanied by increased nuclear factor κB inhibitor and serum amyloid A3 mRNA. The treatment 40Met100Lys was effective for preventing the LPS-induced increase in expression of the above genes except TNFα . Similar preventative effects were observed for 10Met25Lys; however, it did not prevent the LPS-induced increase in TNFα or IL-6 mRNA. Lipopolysaccharide challenge decreased mRNA expression of key genes controlling the transmethyl-ation and Met regeneration pathways, which was not prevented by Met supplementation. The data suggest that bovine hepatocyte cultures can be used as a biological model to study the inflammatory cascade via an LPS challenge. Supplementation of Met prevents the LPS-induced hepatocyte cytokine expression and is associated with elevated intracellular GSH concentration.
Preference for Green Packaging in Consumer Product Choices: Empirical Evidence from Gen Z Consumers in Vietnam

Recently, the call for better accountability and social responsibility from corporations has been regularly voiced, both in the academic literature and in public discussions. This poses a challenge to the existing literature in understanding consumption behaviors to direct them toward sustainable development. This study investigates the purchase intention of Gen Z consumers in Vietnam with green packaging products. Data were collected from 914 respondents by online questionnaire and then analyzed using OLS. The results suggest the significant influence of customers’ income and packaging in driving customers’ intention to use environmentally-friendly products. Specifically, consumers in a higher income class participate more actively in green purchases. However, problems associated with inadequate packaging are also illustrated, resulting in the poor perception of green messages and poor practice of ecological actions. Besides, subjective norms and green trust are found to be adversely related to green consumer intention. In addition, gender disparity in green behavior is reported, where female consumers show a higher tendency to ecological consumption than their male counterparts. Other demographic factors are also included in the model as control variables, which are age, education, price, environmental literacy, environmental concern, and psychological awareness, but they do not have a significant impact on green purchase intention.
Triptolide induces cytosolic translocation of lysosomal hydrolases and mitochondrial permeabilization in MCF-7 cells

Triptolide is a Chinese herb that has been shown to induce apoptosis in various tumor cells. We have previously demonstrated that triptolide induces lysosomal-mediated apoptosis in MCF-7 breast cancer cells. These findings are significant because MCF-7 cells lack caspase-3, a key executioner caspase, causing them to be resistant to chemotherapeutics. In the present study, we examine whether triptolide can induce apoptosis by targeting lysosomes and mitochondria. The effects of triptolide on lysosomal membrane integrity, subcellular localization of cathepsin B, mitochondrial localization, and mitochondrial membrane permeabilization in MCF-7 cells were assessed via fluorescence microscopy. Acridine orange staining demonstrated that triptolide caused rupture of lysosomal membranes. This effect on disruption of the lysosomal membrane was confirmed by immunofluorescent detection of cathepsin B in the cytosol. MitoTracker Green staining revealed mitochondria limited to the cytosol in control cells while mitochondria were observed in nuclear regions in experimental cells. Triptolide caused depolarization of the mitochondrial membrane, as assessed by JC-1 staining. Taken together, our results demonstrate for the first time in MCF-7 cells that triptolide induces apoptosis by lysosomal-and mitochondrial-dependent pathways. Our study provides a mechanism that may be used to develop novel breast cancer therapies wherein triptolide sensitizes resistant breast cancer cells to cell death.
Fuzzy knowledge management advisor system based on computing with words technique

— Today, appropriate management of intellectual capital is one of the most important concerns of successful organizations. Organizations need to identify and manage their intellectual capital in order to gain sustainable competitive advantage. Knowledge Management (KM) means doing whatever is necessary to get more utilization of knowledge resources. One of the important parts of implementing KM is proper recognition of suitable solutions according to organization’s properties and conditions. Our approach is based on Fernandez and Sabherwal contingency theory for identifying KM processes and solutions. It is difficult to quantitatively evaluate contingency factors affecting KM processes as such factors involve human perceptual interpretation with certain subjectively, uncertainty and imprecision. In this paper, we introduce a fuzzy method to find out the best solution for KM development based on computing with words technique. After collecting information from 101 employees of different companies, we achieved the FOU (Footprint Of Uncertainty) for 32 prefix or suffix of words that people used to describe factors and used them to establish the codebook; since human beings understand and express themselves naturally using ‘words’. The encoder transforms linguistic perceptions into interval type-2 fuzzy sets (IT2 FSs) that activate engine. We used linguistic weighted average in fuzzy inference engine for aggregation of the evaluation of different aspects and then, Karnik & Mendel and Jaccard similarity algorithm is used to produce the results. In this method, the distinction between different ideas are made with more accuracy by using linguistic variables. It overcomes the problems of modeling uncertainty during computing with words by using FOUs. The decoder maps the output of engine back into a word. The output of our model could be descriptive, comparative or multilevel in case of the maturity model. An empirical study is performed to demonstrate the implementation process. This study shows people have better understanding of method when they use their own words and the result is more accurate model of their thinking. The result of this paper is a fuzzy perceptual computer that overcomes ambiguities and all problems deal with use of a limited number of options based on Likert scale to linguistic term.
University of Critical Role of FLRT1 Phosphorylation in the Interdependent Regulation of FLRT1 Function and FGF Receptor Signalling

Background: Fibronectin leucine rich transmembrane (FLRT) proteins have dual properties as regulators of cell adhesion and potentiators of fibroblast growth factor (FGF) mediated signalling. The mechanism by which the latter is achieved is still unknown and is the subject of this investigation. PrincipalFindings: Here we show that FLRT1 is a target for tyrosine phosphorylation mediated by FGFR1 and implicate a non-receptor Src family kinase (SFK). We identify the target tyrosine residues in the cytoplasmic domain of FLRT1 and show that these are not direct substrates for Src kinase suggesting that the SFK may exert effects via potentiation of FGFR1 kinase activity. We show that whilst FLRT1 expression results in a ligand-dependent elevation of MAP kinase activity, a mutant version of FLRT1, defective as an FGFR1 kinase substrate (Y3F-FLRT1), has the property of eliciting ligand-independent chronic activation of the MAP kinase pathway which is suppressed by pharmacological inhibition of either FGFR1 or Src kinase. Functional investigation of FGFR1 and FLRT1 signalling in SH-SY5Y neuroblastoma cells reveals that FLRT1 alone acts to induce a multi-polar phenotype whereas the combination of FLRT1 and FGFR activation, or expression of Y3F-FLRT1, acts to induce neurite outgrowth via MAPK activation. Similar results were obtained in a dendrite outgrowth assay in primary hippocampal neurons. We also show that FGFR1, FLRT1 and activated Src are co-localized and this complex is trafficked toward the soma of the cell. The presence of Y3F-FLRT1 rather than FLRT1 resulted in prolonged localization of this complex within the neuritic arbour. Conclusions: This study shows that the phosphorylation state of FLRT1, which is itself FGFR1 dependent, may play a critical role in the potentiation of FGFR1 signalling and may also depend on a SFK-dependent phosphorylation mechanism acting via the FGFR. This is consistent with an ‘in vivo’ role for FLRT1 regulation of FGF signalling via SFKs. Furthermore, the phosphorylation-dependent futile cycle mechanism controlling FGFR1 signalling is concurrently crucial for regulation of FLRT1-mediated neurite outgrowth.
Functional Outcomes of ACL Reconstruction with Autologous Peroneus Longus Tendon Using Button Fixation on Both Femur and Tibial Sides

1.1. Background: The purpose of our study is to assess functional outcomes of ACL Reconstruction with autologous Peroneus Lon-gus tendon using button fixation on both femur and tibial sides. 1.2. Method: In this study, 54 patients with ACL injuries operated for ACL reconstruction using Peroneus longus tendon and button fixation at both femur and tibial side. All the patients were fol - lowed for at least 1 year and they all underwent a minimum of 4 weeks of physiotherapy postoperatively. 1.3. Results: Post reconstruction functional outcomes were assessed using IKDC scoring system. According to subjective IKDC scoring, 69 (75%) results were excellent, 12(15%) were
Comparison of Single and Multiple Flow Direction Algorithms for Computing Topographic Parameters in TOPMODEL

Single flow direction (sfd) and multiple flow direction (mfd) algorithms were used to compute the spatial and statistical distributions of the topographic index used in the watershed model TOPMODEL. An sfd algorithm assumes that subsurface flow occurs only in the steepest downslope direction from any given point; an mfd algorithm assumes that subsurface flow occurs in all downslope directions from any given point. The topographic index in TOPMODEL is In (a/tan/3), where In is the Napierian logarithm, a is the upslope area per unit contour length, and tan/3 is the slope gradient. The In (a/tan /3) distributions were computed from digital elevation model (DEM) data for locations with diverse topography in Arizona, Colorado, Louisiana, Nebraska, North Carolina, Oregon, Pennsylvania, Tennessee, Vermont, and Virginia. The means of the In (a/tan/3) distributions were higher when the mfd algorithm was used for computation compared to when the sfd algorithm was used. The variances and skews of the distributions were lower for the mfd algorithm compared to the sfd algorithm. The differences between the mfd and sfd algorithms in the mean, variance, and skew of the In (a/tan/3) distribution were almost identical for the various DEMs and were not affected by DEM resolution or watershed size. TOPMODEL model efficiency and simulated flow paths were affected only slightly when the In (a/tan/3) distribution was computed with the sfd algorithm instead of the mfd algorithm. Any difference in the model efficiency and simulated flow paths between the sfd and mfd algorithms essentially disappeared when the model was calibrated by adjusting subsurface hydraulic parameters.
Original Contribution STROBILOMYCES STROBILACEUS (SCOP. : FR.) BERK. IN BULGARIA

This paper summarizes the available data of Strobilomyces strobilaceus in Bulgaria. Review of the available previous records is made and numerous new findings are reported. Totally 30 localities of the species are currently known. An UTM-grid map is appended. The fungus appeared to be widespread, but not common and observations likely support its present conservation status.
Striking movements A survey of motion analysis of percussionists

: Like all music performance, percussion playing requires high control over timing and sound propterties. Speci(cid:12)c to percussionists, however, is the need to adjust the movement to di(cid:11)erent instruments with varying physical properties and tactile feedback to the player. Furthermore, the well de(cid:12)ned note onsets and short interaction times between player and instrument do not allow for much adjustment once a stroke is initiated. The paper surveys research that shows a close relationship between movement and sound production, and how playing conditions such as tempo and the rebound after impact a(cid:11)ect the movements. Furhtermore, I discuss di(cid:11)erences in movement organization, and visual information from striking movements.