Miracle-dz/UniFAR-FTUs huggingface dataset:
Advances in medical treatment of breast cancer in 2022

Abstract Breast cancer has replaced lung cancer as the most common malignancy worldwide. The 5‐year survival rate of breast cancer has reached 90%. Systemic treatment of breast cancer has developed into a mature system including chemotherapy, targeted therapy, endocrine therapy and immunotherapy. This article summarizes the annual progress of breast cancer chemotherapy, targeted therapy, endocrine therapy and immunotherapy in 2022, providing valuable information for future research to better guide individualized treatment of breast cancer, thereby improving the prognosis and quality of life of breast cancer patients.
The benefits of adipocyte metabolism in bone health and regeneration

Patients suffering from musculoskeletal diseases must cope with a diminished quality of life and an increased burden on medical expenses. The interaction of immune cells and mesenchymal stromal cells during bone regeneration is one of the key requirements for the restoration of skeletal integrity. While stromal cells of the osteo-chondral lineage support bone regeneration, an excessive accumulation of cells of the adipogenic lineage is thought to promote low-grade inflammation and impair bone regeneration. Increasing evidence indicates that pro-inflammatory signaling from adipocytes is responsible for various chronic musculoskeletal diseases. This review aims to summarize the features of bone marrow adipocytes by phenotype, function, secretory features, metabolic properties and their impact on bone formation. In detail, the master regulator of adipogenesis and prominent diabetes drug target, peroxisome proliferator-activated receptor γ (PPARG), will be debated as a potential therapeutic approach to enhance bone regeneration. We will explore the possibilities of using clinically established PPARG agonists, the thiazolidinediones (TZDs), as a treatment strategy to guide the induction of a pro-regenerative, metabolically active bone marrow adipose tissue. The impact of this PPARG induced bone marrow adipose tissue type on providing the necessary metabolites to sustain osteogenic-as well as beneficial immune cells during bone fracture healing will be highlighted.
Melissopalynological Investigations of Seasonal Honey Samples from the Greater Kruger National Park, Savanna Biome of South Africa

ABSTRACT In melissopalynological studies, the investigation of pollen composition in honey samples reveals the geographical and botanical origin of the samples and links them to the regional climatic conditions. Honeybees (Apis mellifera), collect pollen and nectar for their nutritional requirements based on the seasonal availability of surrounding flora. In this study, pollen content in honey was temporarily investigated for seasonal differences of the bee foraged plants. A melissopalynological investigation was applied to honey samples harvested from 13 beehives located in the Greater Kruger National Park, South Africa. Multivariate statistics (NMDS and Rarefaction curves) were used to show spatial and temporal clustering of the samples. The melissopalynological data were then compared to the species' flowering season and a botanical survey of the surrounding area. The turnover in pollen composition for different seasons signifies seasonal variation in pollen types. For example, during summer, bees foraged from fewer floral sources. The highest species richness was observed during winter, suggesting a higher dependence on a diversity of floral resources during the driest months. Various seasonal pollen spectra were characterised by a pollen turnover from numerous species, including Combretum type, Sclerocarya birrea, Poaceae, Harpephyllum caffrum and Lannea schweinfurthii but also neophytes such as Medicago sativa. Therefore, honey samples from the Lowveld region in South Africa reflected the seasonal patterns of the surrounding flora although pollen from taxa such as Combretum spp. (average 56%) and Sclerocarya birrea (average 14%) were continuously sought after by bees throughout the year.
Optimal Control for Stochastic Polynomial Systems with State-Dependent Polynomial Input

This paper presents the optimal quadratic Gaussian controller for stochastic polynomial systems with a state-dependent polynomial control input and a quadratic criterion over linear observations. The optimal closed-form controller equations are obtained using the separation principle, whose applicability to the considered problem is substantiated. As an intermediate result, the paper gives a closed-form solution of the optimal regulator (control) problem for polynomial systems with a state-dependent polynomial control input and a quadratic criterion. Performance of the obtained optimal controller is verified in the illustrative example against the conventional LQG controller that is optimal for linearized systems. Simulation graphs demonstrating overall performance and computational accuracy of the designed optimal controller are included.
High‐school Students' Conceptual Difficulties and Attempts at Conceptual Change: The case of basic quantum chemical concepts

This study tested for deep understanding and critical thinking about basic quantum chemical concepts taught at 12th grade (age 17–18). Our aim was to achieve conceptual change in students. A quantitative study was conducted first (n = 125), and following this 23 selected students took part in semi‐structured interviews either individually or in small groups that were allowed to interact under the coordination of the investigators. The planetary Bohr model was strongly favoured, while the probabilistic nature of the orbital concept was absent from many students' minds. Other students held a hybrid model. In some cases, students did not accept that the electron cloud provides a picture of the atom. Many students had not understood the fundamental nature of the uncertainty principle. Finally, the mathematical description of the formation of molecular orbitals caused problems in the case of destructive (antibonding) overlap of atomic orbitals. Our approach to conceptual change employed active and cooperative forms of learning, which are consistent with social–cultural constructivism and with Vygotsky's zone of proximal development. It proved effective in a number of cases, and ineffective in others. The variation in students' approaches was explained on the basis of Ausubel's theory about meaningful and rote learning and of the ability to employ higher‐order cognitive skills. Nevertheless, the methodology used can be useful for all students, irrespective of their behaviour in traditional written examinations.
Same view, different lens: How intersectional identities reduce Americans’ stereotypes of threat regarding Arab and Black men

Because Black and Arab men may be stereotyped as hostile in different ways (i.e., physical vs. ideological), this study assessed whether an old age identity versus gay identity would reduce stereotypes related to hostility for Black and Arab men differently. We assessed whether the addition of an old age identity reduces hostile stereotype content more for Black men than for Arab men. In line with our hypothesis, an old age identity resulted in participants reporting fewer hostile stereotypes for Black men, but not for Arab men. We also assessed whether a gay identity reduces hostile stereotype content in the same way for Black and Arab men. As expected, a gay identity resulted in participants reporting fewer hostile stereotypes for both male groups. The present study demonstrates the importance of considering intersecting identities in person perception and highlights the unique challenges faced by men belonging to these intersecting groups.
Relationship Between Activity Level and Knee Function Is Influenced by Negative Affect in Patients Undergoing Cell Therapy for Articular Cartilage Defects in the Knee

Background: Increased activity level is generally reported to be positively related to improved knee function after knee surgery. However, little research has been conducted into this relationship on an individual patient basis, or the influence of demographic and psychosocial factors such as patient affect—the subjective experience of emotion. Hypothesis: The relationship between postoperative activity level and knee function will vary between patients and will be influenced by the patients’ affect and demographic characteristics. Study Design: Cohort study; Level of evidence, 3. Methods: Activity, knee function, demographic, and affect data were collected from patients enrolled in an ongoing trial for the treatment of articular cartilage lesions at preoperative and 2-, 12-, and 15-month postoperative points. Quantile mixed regression modeling was used to determine the patient-to-patient variation in activity level and knee function. Multiple linear regression and partial correlation analyses were performed to determine whether demographic characteristics and patient affect were associated with this variation. Results: A total of 62 patients were included in the study (23 female; 39 male; mean age, 38.3 ± 9.5 years). We found substantial variation between patients in the relationship between activity level and knee function, with most patients (n = 56) demonstrating a positive relation (positive slope), but 6 patients demonstrating a negative relation (negative slope). A negative affect (NA) score was significantly correlated with the slope between activity level and knee function (r S = –0.30; P = .018) and was a significant individual predictor of knee function at 15 months postoperatively (coefficient = –3.5; P = .025). Conclusion: Our results suggest that the relationship between activity level and knee function varies between patients. The patients with a higher NA score were likely to report smaller improvements in knee function with increasing activity levels compared with those with a lower NA score.
Extraction of metal-oxide-semiconductor field-effect-transistor interface state and trapped charge spatial distributions using a physics-based algorithm

In this article, a new charge-extraction algorithm is proposed for extracting the spatial distributions of hot-carrier-induced interface states and trapped charges in p- and n- metal-oxide-semiconductor field-effect transistors, based on the charge-pumping measurement data. This extraction algorithm is physics based and provides a better understanding of how the presence of hot-carrier-induced trapped charges and interface states affect the charge-pumping curves. The extraction time for this new algorithm is very fast (typically 30 s) and does not require very tedious computer simulation. The verification of this method was performed using TSUPREM-4 and MEDICI simulations. With this new extraction method, one can gain better insight into the degradation mechanisms taking place under different hot-carrier stressing conditions.
Gravity Wave-driven Flows in the Solar Tachocline

We present results from time-dependent hydrodynamic calculations of the interaction between internal gravity waves and the mean radial differential rotation in the solar tachocline. Such waves are thought to be generated by turbulent fluid motions at the base of the convection zone. Our simplified model treats the effects of wave forcing, produced by radiative damping of downward propagating disturbances, on the rotational shear flow in the region immediately below the convection zone. We have used the model to investigate the dependence of the computed flow properties on the values assumed for the wave frequency, the horizontal component of the wavevector, the initial wave velocity amplitude, and the viscosity of the background medium. Our results indicate that if the first three of these quantities are held fixed, stationary shear flow solutions are obtained for viscosities larger than a parameter-dependent critical value. If the viscosity is continuously decreased from this value, the flow undergoes a succession of dramatic transformations, first becoming periodic, then quasi-periodic, and ultimately chaotic when the viscosity is made sufficiently small. We discuss the implications of these results for the recently reported time variability of the angular velocity of rotation within the solar tachocline.
The Influence of Transformational Tutor Style on Postgraduate Students' Innovative Behavior: The Mediating Role of Creative Self-Efficacy

Postgraduates being as the backbone of the innovative talent team, the enhancement of postgraduates’ innovative behavior has become the focus of higher education reform in the new era. Postgraduate students’ innovative behaviors are influenced by multiple factors, and mentorship plays a crucial role in the cultivation of postgraduate students’ innovative behaviors. This study is based on social cognitive theory and empirical analysis from the perspective of individual postgraduate students and mentorship cultivation. Multisource data were obtained from a research team attending a teacher training college in southwest China, and a questionnaire survey was conducted on 362 postgraduate students based on an online approach. The empirical study was conducted using SPSS software and AMOS software combined with hierarchical regression analysis and structural analysis of covariance to examine the mechanism of the effect of transformational tutoring style on postgraduate students’ innovative behavior, using creative self-efficacy as a mediating variable. The results showed that the transformational tutoring style had a significant positive effect on the innovation behavior of postgraduate students, and the creative self-efficacy partially mediated the effect of the transformational tutoring style on the innovation behavior. According to the findings of the study, the creative self-efficacy of postgraduate students is enhanced through the collaboration of “multiple” subjects; the “integrated” cultivation model is built to create a transformative tutor team; a mentoring community is established. The study is aimed at providing a reference for the cultivation of innovation ability of master students.
Enhancing health-promoting isothiocyanates in Chinese kale sprouts via manipulating BoESP

Abstract Glucosinolates (GSLs) are a group of sulfur-containing secondary metabolites, which are abundant in Brassica vegetables. GSL breakdown products (GBPs), especially isothiocyanates (ITCs) benefit human health. Chinese kale is a native Brassica vegetable in China, and its sprouts are rich in GSLs and nutritional substances. ITCs are the predominant GBPs while alternative products are formed in the presence of specifier proteins. However, fewer ITCs are formed in the sprouts. Epithiospecifier (ESP) promotes the formation of epithionitriles at the expense of ITCs in Arabidopsis, but a systematic study of different isoforms of ESPs in most vegetables is still missing. In this study, changes in the content of GBPs and the precursor GSLs, as well as thiols per plant were monitored during sprout development. The proportions of epithionitriles and ITCs in total GBPs were found to be increased and decreased, respectively. RNA-seq showed enhanced expression of numerous genes involved in GSLs biosynthesis and degradation, as well as sulfur assimilation in sprouts compared to seeds. Four copies of BoESPs were isolated and BoESP2 was the most abundant isoform. Generally, transcription of BoESPs showed a strong response to abscisic acid and gibberellin, and consequently epithionitriles increased under these treatments. Knockdown of BoESP2 expression through virus-induced gene silencing system could effectively increase total ITCs and decrease total epithionitriles. Overall, dynamic GSL metabolic flux exists in the sprouting period, and the expression of BoESPs determines the pattern of GBPs, suggesting that improving the health-promoting ITCs in Chinese kale sprouts through manipulating BoESPs by metabolic engineering is feasible.
Interannual Variability of Regional Hadley Circulation and El Niño Interaction

El Niño‐Southern Oscillation (ENSO) triggers variations of the global Hadley circulation (HC), while the latter may potentially feedback to ENSO events. Previous studies mainly investigated the interactions between ENSO and the global zonal‐mean HC. Here, we present a regional perspective of HC variability by introducing zonal variations. Results show that El Niño intensifies the regional HC over the central‐eastern Pacific, while weakening the regional HC over both the Indo‐Pacific warm pool and the tropical Atlantic. The background seasonal cycle modulates the equatorial‐asymmetric component of HC, with an anticlockwise (clockwise) asymmetric circulation over the central equatorial Pacific before (after) El Niño peaks. Remarkably, the asymmetric HC in boreal spring leads ENSO with a lead correlation of up to 0.68, mediated by the wind‐evaporation‐sea surface temperature (SST) feedback and other atmosphere‐ocean dynamics. The antecedent HC anomaly may contribute to ENSO predictability.
A Network‐Scale Modeling Framework for Stream Metabolism, Ecosystem Efficiency, and Their Response to Climate Change

Climate change and the predicted warmer temperatures and more extreme hydrological regimes could affect freshwater ecosystems and their energy pathways. To appreciate the complex spatial and temporal interactions of carbon cycling in flowing waters, ecosystem metabolism (gross primary production [GPP] and ecosystem respiration [ER]) must be resolved at the scale of an entire river network. Here, we propose a meta‐ecosystem framework that couples light and temperature regimes with a reach‐scale ecosystem model and integrates network structure, catchment land cover, and the hydrologic regime. The model simulates the distributed functioning of dissolved and particulate organic carbon, autotrophic biomass, and thus ecosystem metabolism, and reproduces fairly well the metabolic regimes observed in 12 reaches of the Ybbs River network, Austria. Results show that the annual network–scale metabolism was heterotrophic, yet with a clear peak of autotrophy in spring. Autochthonous energy sources contributed 43% of the total ER. We further investigated the effect of altered thermal and hydrologic regimes on metabolism and ecosystem efficiency. We predicted that an increase of 2.5°C in average stream water temperature could boost ER and GPP by 31% (24%–57%) and 28% (5%–57%), respectively. The effect of flashier hydrologic regimes is more complex and depends on autotrophic biomass density. The analysis shows the complex interactions between environmental conditions and biota in shaping stream metabolism and highlights the existing knowledge gaps for reliable predictions of the effects of climate change in these ecosystems.
The Small Magellanic Cloud in the far infrared - II. Global properties

We present global IR properties of the Small Magellanic Cloud using an ISOPHOT 170 µm map and re-visited IRAS data. The integrated 170 µm flux is 14 950 ± 2300 Jy, and the integrated IR flux is F1−1000 = 7.48 × 10 −10 Wm −2 . Discrete sources contribute 28%, 29%, and 36% to the integrated flux at 60 µm, 100 µm, and 170 µm, respectively. Most of the total emission arises from diffuse emission regions surrounding the HII regions. The SED can be modelled by the composition of a 45 K, a 20.5 K and a 10 K blackbody component with emissivity index n = 2. A color temperature map is constructed from the ISOPHOT 170 µm and the IRAS 100 µm HiRes maps. The average dust temperature is TD = 20.3 K. The total dust mass is found to be MD = 7.8 × 10 5 M� , yielding a gas-to-dust mass ratio Mgas/Mdust ≈ 540, a value 25 times lower than found by former studies. The global star formation rate is estimated to SFRtotal ≈ 0.05 Myr −1 . The comparison with other irregular
Apolline divination: hallucinogenic substances or cognitive inputs? The case of the laurel

ABSTRACT The use of laurel in Apolline divination at Delphi has been a prominent area of interest in academic debates over the possible influence of drugs on prophets. Previous analyses revealed the absence of chemicals in the bay capable of altering the human consciousness. In this paper, I argue that the laurel did nevertheless have the power to influence the Pythia’s mind through its cognitive impact on divinatory practices. The methodology pursues a cognitive approach that considers the object affordances and the human neural response. The paper concludes that, despite the modality being different from the one proposed in the past, the laurel had a strong impact on divination.
The Numerical Simulation of Non-Supercell Tornadogenesis. Part I: Initiation and Evolution of Pretornadic Misocyclone Circulations along a Dry Outflow Boundary

Abstract High-resolution three-dimensional simulations are used to study misocyclone initiation and development along the leading edge of an outflow boundary. Model conditions were designed such that this development could be simulated independent of moist processes. The outflow boundary is allowed to propagate into a region of southerly low-level flow which results in a vertical vortex sheet along the outflow’s leading edge. Lobe and cleft instabilities follow and provide perturbations for the subsequent development of horizontal shearing instabilities. These growing instabilities are the inaugural circulations of leading edge misocyclones with wavelengths ranging from 1.6 to 3.2 km. The structure of these modeled misocyclones compares favorably to observed pretornadic misocyclones along outflow boundaries in northeast Colorado. Vortex sheet dynamics are observed to exert substantial control over the structure of the evolving outflow leading edge. The vertical vortex sheet passes through discrete evoluti.
Streamline upwind/Petrov–Galerkin‐based stabilization of proper generalized decompositions for high‐dimensional advection–diffusion equations

This work is a first attempt to address efficient stabilizations of high dimensional advection–diffusion models encountered in computational physics. When addressing multidimensional models, the use of mesh‐based discretization fails because the exponential increase of the number of degrees of freedom related to a multidimensional mesh or grid, and alternative discretization strategies are needed. Separated representations involved in the so‐called proper generalized decomposition method are an efficient alternative as proven in our former works; however, the issue related to efficient stabilizations of multidimensional advection–diffusion equations has never been addressed to our knowledge. Thus, this work is aimed at extending some well‐experienced stabilization strategies widely used in the solution of 1D, 2D, or 3D advection–diffusion models to models defined in high‐dimensional spaces, sometimes involving tens of coordinates.Copyright © 2013 John Wiley & Sons, Ltd.
Angular Dependence of Proton Polarization in the Reaction γ d → pn and a Partial-Wave Analysis of Possible Dibaryon Resonances

The angular dependence of proton polarization in $\ensuremath{\gamma}d\ensuremath{\rightarrow}\mathrm{pn}$ has been measured at photon energies between 400 and 650 MeV. The polarization and differential-cross-section data are consistently explained by introducing a dibaryon resonance $I({J}^{P})=0({3}^{+}) or 0({1}^{+})$ at \ensuremath{\approx} 2360 MeV.