Miracle-dz/UniFAR-FTUs huggingface dataset:
Recurrence Score® Result Impacts Treatment Decisions in Hormone Receptor-Positive, HER2-Negative Patients with Early Breast Cancer in a Real-World Setting—Results of the IRMA Trial

Simple Summary Hormone receptor-positive (HR+), HER2-negative (HER2−) is the most common breast cancer subtype (approximately 75% of all breast cancer cases). Adjuvant chemotherapy can be administered to patients that undergo operative tumor removal with only few metastatic axillary lymph nodes (0–3). However, using classical risk biomarkers to guide adjuvant chemotherapy recommendation leads to overtreatment of patients including unnecessary possible chemotherapy-related toxicities. This prospective study assessed whether the multigene-expression assay Oncotype DX® that has been validated in two large clinical phase III trials, effectively reduces adjuvant chemotherapy recommendation in a real-world setting. This study could demonstrate that absolute adjuvant chemotherapy recommendation can be reduced by nearly 15% using Oncotype DX®. Furthermore, this study could show that the Oncotype DX® recurrence score correlates to classic biomarkers that are commonly used to classify the aggressiveness of breast cancer. Abstract Background: Patients with hormone receptor-positive (HR+), HER2-negative (HER2−) early breast cancer (eBC) with a high risk of relapse often undergo adjuvant chemotherapy. However, only a few patients will gain benefit from chemotherapy. Since classical tumor characteristics (grade, tumor size, lymph node involvement, and Ki67) are of limited value to predict chemotherapy efficacy, multigene expression assays such as the Oncotype DX® test were developed to reduce over- and undertreatment. The IRMA trial analyzed the impact of Recurrence Score® (RS) assessment on adjuvant treatment recommendations. Materials and methods: The RS result was assessed in patients with HR+/HER2− unilateral eBC with 0–3 pathologic lymph nodes who underwent primary surgical treatment at the Department for Women’s Health of Tuebingen University, Germany. Therapy recommendations without knowledge of the RS result were compared to therapy recommendations with awareness of the RS result. Results: In total, 245 patients underwent RS assessment. Without knowledge of the RS result, 92/245 patients (37.6%) would have been advised to receive chemotherapy. After RS assessment, 56/245 patients (22.9%) were advised to undergo chemotherapy. Chemotherapy was waived in 47/92 patients (51.1%) that were initially recommended to receive it. Chemotherapy was added in 11/153 patients (7.2%) that were recommended to not receive it initially. Summary: Using the RS result to guide adjuvant treatment decisions in HR+/HER2− breast cancer led to a substantial reduction of chemotherapy. In view of the results achieved in prospective studies, the RS result is among other risk-factors suitable for the individualization of adjuvant systemic therapy.
Exploring C-to-G and A-to-Y Base Editing in Rice by Using New Vector Tools

CRISPR/Cas9-based cytosine base editors (CBEs) and adenine base editors (ABEs) can efficiently mediate C-to-T/G-to-A and A-to-G/T-to-C substitutions, respectively; however, achieving base transversions (C-to-G/C-to-A and A-to-T/A-to-C) is challenging and has been rarely studied in plants. Here, we constructed new plant C-to-G base editors (CGBEs) and new A-to-Y (T/C) base editors and explored their base editing characteristics in rice. First, we fused the highly active cytidine deaminase evoFENRY and the PAM-relaxed Cas9-nickase variant Cas9n-NG with rice and human uracil DNA N-glycosylase (rUNG and hUNG), respectively, to construct CGBE-rUNG and CGBE-hUNG vector tools. The analysis of five NG-PAM target sites showed that these CGBEs achieved C-to-G conversions with monoallelic editing efficiencies of up to 27.3% in T0 rice, with major byproducts being insertion/deletion mutations. Moreover, for the A-to-Y (C or T) editing test, we fused the highly active adenosine deaminase TadA8e and the Cas9-nickase variant SpGn (with NG-PAM) with Escherichia coli endonuclease V (EndoV) and human alkyladenine DNA glycosylase (hAAG), respectively, to generate ABE8e-EndoV and ABE8e-hAAG vectors. An assessment of five NG-PAM target sites showed that these two vectors could efficiently produce A-to-G substitutions in a narrow editing window; however, no A-to-Y editing was detected. Interestingly, the ABE8e-EndoV also generated precise small fragment deletions in the editing window from the 5′-deaminated A base to the SpGn cleavage site, suggesting its potential value in producing predictable small-fragment deletion mutations. Overall, we objectively evaluated the editing performance of CGBEs in rice, explored the possibility of A-to-Y editing, and developed a new ABE8e-EndoV tool, thus providing a valuable reference for improving and enriching base editing tools in plants.
Effect of Sintering Temperature on the Properties of CuAlO2 Synthesized from Nanosized Precursors for Application in Smart Infrastructure Systems

The current study aimed to evaluate the influence of different sintering temperatures on the properties of copper aluminum oxide (CuAlO2) pellets synthesized from copper oxide (CuO) and aluminum hydroxide (Al(OH)3) for application in smart infrastructure systems. The pellets were sintered at 400 K, 1000 K, and 1300 K, in the presence of nitrogen gas flow to reduce the amount of oxygen availability. The CuAlO2 sintered nanoparticles were chemically analyzed by X-ray diffractometry, and the nanostructure of the materials was studied by scanning electron microscopy. The transmittance of the sintered materials was examined by ultraviolet/visible (UV/Vis) spectrophotometry, and 88% transparency was observed for the pellets sintered at 1300 K. Electrical conductivity was measured at 0.905 mS/cm, indicating a semiconducting behavior.
Structure‐from‐motion photogrammetry demonstrates that fine‐scale seascape heterogeneity is essential in shaping mesophotic fish assemblages

Benthic components of tropical mesophotic coral ecosystems (MCEs) are home to diverse fish assemblages, but the effect of multiscale spatial benthic characteristics on MCE fish is not well understood. To investigate the influence of fine‐scale benthic seascape structure and broad‐scale environmental characteristics on MCE fish, we surveyed fish assemblages in Seychelles at 30, 60 and 120 m depth using submersible video transects. Spatial pattern metrics from seascape ecology were applied to quantify fine‐scale benthic seascape composition, configuration and terrain morphology from structure‐from‐motion photogrammetry and multibeam echosounder bathymetry and to explore seascape–fish associations. Hierarchical clustering using fish abundance and biomass data identified four distinct assemblages separated by the depth and geographic location, but also significantly influenced by variations in fine‐scale seascape structure. Results further revealed variable responses of assemblage characteristics (fish biomass, abundance, trophic group richness, Shannon diversity) to seascape heterogeneity at different depths. Sites with steep slopes and high terrain complexity hosted higher fish abundance and biomass, with shallower fish assemblages (30–60 m) positively associated with aggregated patch mixtures of coral, rubble, sediment and macroalgae with variable patch shapes. Deeper fish assemblages (120 m) were positively associated with relief and structural complexity and local variability in the substratum and benthic cover. Our study demonstrates the potential of spatial pattern metrics quantifying benthic composition, configuration and terrain structure to delineate mesophotic fish–habitat associations. Furthermore, incorporating a finer‐scale perspective proved valuable to explain the compositional patterns of MCE fish assemblages. As developments in marine surveying and monitoring of MCEs continue, we suggest that future studies incorporating spatial pattern metrics with multiscale remotely sensed data can provide insights will that are both ecologically meaningful to fish and operationally relevant to conservation strategies.
Turbulence impacts upon nvPM primary particle size

Abstract Originating from an IAE V2527 aircraft gas turbine engine running a series of reference and blended fuels, nonvolatile particulate matter was collected upon transmission electron microscopy grids for analysis. A striking observation is the range of primary particle size with projected particle diameters ranging from 5 to 100 nm within the same aggregate. This range of particle size is interpreted as describing the corresponding ensemble of fuel rich pockets in terms of fuel-air-equivalence ratio (Φ) and duration. Some parcels are sufficiently diluted or short-lived by turbulent action and allow only small primary particles to form. Other parcels are larger, live longer or a combination allowing large primary particles to form. In this manner, the soot particles provide forensic insights into the turbulent mixing dynamics. Consequently, there is no single streamline or trajectory describing particle growth and no single condition in Φ or temperature for particle nucleation. There is also no observable correspondence between particle size and fuel aromatic or hydrogen content. Given the different trajectories of small/large particles, their growth histories and species origins, a difference in H/C ratio would be expected. This is reflected in the relative contributions of sp2/sp3 content within the particles as confirmed by electron energy loss spectroscopy analysis. Supporting evidence for the role of turbulent induced mixing upon primary particle growth is evidenced by varied particle size modes for XC-72, oxidation reactivity of R250, both commercial furnace blacks. Further confirmation is found by pulsed laser derivatization of XC-72. Copyright © 2022 American Association for Aerosol Research Graphical Abstract
Profiling of Croatian Consumers Based on Their Intention to Consume Farmed Fish

Today’s increased demand and consumption of fish would be impossible to ensure without aquaculture. Farmed fish, however, is often considered inferior among consumers in comparison to its wild counterparts. The aim of this study was to profile Croatian fishery consumers based on their intention to consume farmed fish. The participants in this study were a nationally representative sample of people responsible for food purchasing within the household (n = 977), whose responses were collected by the CAWI (computer-aided web interviewing) method. Four clusters were identified and described: farmed fish enthusiasts (21.1%), farmed fish supporters (17.4%), indifferents (44.7%), and farmed fish sceptics (16.8%). Results showed that consumer segments differed significantly with respect to age, income, employment status, living region, and physical activity. Furthermore, intention to consume farmed fish is related to fish consumption in general (those with higher intention are more frequent fish consumers). Interestingly, prejudices against farmed fish are present in all clusters; however, these prejudices are more pronounced among those with the weakest intention to consume farmed fish. Differences between clusters were observed also in respect to product information and preferences, knowledge about fish, places of usual purchase, and source of information about fishery products. The obtained results could be used in designing marketing strategies to promote farmed fish consumption.
Integration of electro-absorption modulator in a vertical-cavity surface-emitting laser

VCSELs became dominant laser sources in many short optical link applications such as datacenter, active cables, etc. Actual standards and commercialized VCSEL are providing 25 Gb/s data rates, but new solutions are expected to settle the next device generation enabling 100 Gb/s. Directly modulated VCSEL have been extensively studied and improved to reach bandwidths in the range of 26-32 GHz [Chalmers, TU Berlin], however at the price of increased applied current and thus reduced device lifetime. Furthermore, the relaxation oscillation limit still subsists with this solution. Thus, splitting the emission and the modulation functions as done with DFB lasers is a very promising alternative [TI-Tech, TU Berlin]. Here, we study the vertical integration of an ElectroAbsorption Modulator (EAM) within a VCSEL, where the output light of the VCSEL is modulated through the EAM section. In our original design, we finely optimized the EAM design to maximize the modulation depth by implementing perturbative Quantum Confined Stark Effect (QCSE) calculations, while designing the vertical integration of the EAM without penalty on the VCSEL static performances. We will present the different fabricated vertical structures, as well as the experimental electrical and optical static measurements for those configurations demonstrating a very good agreement with the reflectivity and absorption simulations obtained for both the VCSEL and the EAM-VCSEL structures. Finally, to reach very high frequency modulation we studied the BCB electrical properties up to 110 GHz and investigated coplanar and microstrip lines access to decrease both the parasitic capacitance and the influence of the substrate.
Evaluation of cold tolerance of seven walnut varieties.

BACKGROUND Winter injury often threatens phenology and walnut survival in late spring and winter in northern areas of China. OBJECTIVE This study aimed at evaluating seven walnut varieties which have superior economic traits. MATERIALS AND METHODS Mature functional leaves were observed by paraffin section and the related anatomical structure indices were measured. The stem segments were placed at six temperatures [4 (control), -10, -15, -20, -25, -30 degree C] for low temperature stress treatment, and the relevant indices were measured. RESULTS The thickness of palisade tissue (PT), sponge tissue (ST) and the PT/ST of Wen185 was significantly higher than in Longboxiang 2, Longboxiang 3 and Suizhuang. However, the leaf thickness (LT) of Longboxiang 3 was markedly lower than that of other varieties. With the decrease in temperature, relative electrolyte leakage (REL), proline (Pro) and soluble sugar content (SS) of all varieties increased, while superoxide dismutase (SOD) and peroxidase (POD) activities showed a rise and fall trend. According to the LT50, the cold tolerance of seven walnut varieties was ranked from high to low, viz. Yuanlin > Wen185 > Xiangling > Suizhuang > Qingxiang > Longboxiang 2 > Longboxiang 3. CONCLUSION The variety Yuanlin can adapt to low temperature and should be widely promoted. doi.org/10.54680/fr22210110312.
Rough interface in IPMC: modeling and its influence analysis

The importance of electrode/polymer interface in the electro-mechanical properties of Ionic Polymer Metal Composite has been more and more emphasized in recent years. Among the various interface characterizations, this paper primarily focuses on the rough landscape between the bulk electrode and the ionic polymer. A series of geometrical models were established for the interface in the mass transport model of IPMC, based on actual profiles, flat line, Koch curves and Weirstrass–Mandelbrot (W–M) function curves, among which the results based on W–M function curves show best consistency with those based on actual profiles. Besides, methods to obtain the core parameters used in W–M function were investigated and an empirical formula was acquired. Finally the dependence of the interface roughness on the fabrication procedures as well as its influence on the capacitance and the electro-active displacement were also explored based on W–M parameters.
Numerical simulation of intact rock behaviour via the continuum and Voronoi tesselletion models : a sensitivity analysis

The numerical simulation of intact rock microstructure and its influence on macro-scale behaviour has received a lot of attention in the research community in recent years. Generating a grain-like structure with polygonal area contacts is one of the avenues explored for describing the rock’s microstructure. A Voronoi tessellation implemented in the Universal Distinct-Element Code (UDEC) is used to generate models with a polygonal microstructure that represent intact rock. The mechanical behaviour of the Voronoi polygons is defined by micro-properties, which cannot be measured directly in the laboratory. A numerical calibration procedure is needed to produce the macroscopic response of a model that corresponds to the material behaviour measured during a laboratory experiment. In this research, Brazilian, direct tensile, uniaxial compressive and biaxial test models are constructed to simulate the intact rock behaviour under a standard laboratory stress. An extensive series of parametric sensitivity analyses are executed in order to understand the influence of the input micro-properties on every model test behaviour and predict the relation between the micro-properties and the model’s macro response. The results can be treated as general guidelines for a complete and efficient intact rock calibration procedure. In parallel, a continuum-based model using the Mohr-Coulomb constitutive relationship is running as a benchmark. It has been shown that the Voronoi-based models through their microstructure approach better reproduce the Brazilian to direct tensile strength ratio, and show a better representation of the dilation, crack pattern and post-peak behaviour in comparison to continuum models.
The relationship between heavy metals concentrations in soil and plant (Senna auriculata (L.) Roxb.) of the hills and roadsides in Tiruchirappalli, India

The relationship between heavy metal concentrations of soil and plant (Senna auriculata) in the hills and roadsides was studied. Atomic absorption spectroscopy was used for determination of metals such as lead (Pb), chromium (Cr), cadmium (Cd), zinc (Zn), copper (Cu), and iron (Fe) in the soil and plant (leaves and flowers) samples. The results showed that heavy metal concentrations in roadside soil and plant samples were much greater than that in hills. It is evident that concentration of a heavy metal in soil samples are considerably higher (p<0.05) than that in plant samples. Pearson correlation analysis shows that Pb in leaves and flowers correlated well with that in soil, r >0.93. Strong positive relationship exists between soil and plant for Cr content, (r≥0.97). Cadmium and Zn contents in leaves and flowers correlated significantly with Cd, and Zn in soil, all r>0.97. The Cu concentration of leaves and flowers shows a positive correlation with Cu content in soil, all r≥0.93. The Fe concentration of both plant leaves and flowers is found significantly and positively correlated with soil Fe, r=0.99. Overall results reveal that all the heavy metals are significantly and positively associated with soil and plant, implying that increasing concentration of heavy metals in soil is likely to increase their concentrations in S. auriculata plant. SAARC J. Agric. , 20(1): 121-130 (2022)
The relationship between the perception of advertising, FOMO, social network fatigue and privacy concerns among social network users

The aim of this study was to examine the relationship between factors of social network advertising, attitudes towards social networks, social network advertising, brands and perception of intrusiveness of social network advertising, and factors of social networks user behaviour (FOMO and privacy concerns). The research was conducted online on a sample of 212 respondents, who are digital natives aged 18 to 45. For the purpose of examining these variables the following was used in the research: a semantic differential scale taken from Elliott and Speck (1998) to measure the attitude towards advertising, an adjusted Facebook Intensity Scale (FBI scale) (Ellison et al., 2007), a questionnaire on attitudes towards brands (Bearden et al., 2011), an adjusted media intrusion scale (Li et al., 2002), the Gartner Inc. (2011) version of the social network privacy questionnaire, the Croatian version of the Fear of Missing Out Scale – FoMOs (Omajec and Čorkalo Biruški, 2020), and the Gartner Inc. (2011) version of the social media fatigue scale. The results indicate that positive attitudes towards advertising, higher levels of privacy concerns and FOMO are predictors of higher levels of social network fatigue, while attitudes towards social networks and perceptions of intrusiveness did not prove to be significant predictors of social network fatigue. The implementation of hierarchical regression analysis revealed the mediating effect of FOMO on the relationship between the attitude towards social network advertising, the attitude towards brands and social network fatigue, while the significance of mediation was verified by the Sobel test. The paper describes the findings, research limitations and offers suggestions for future research.
Regression-Selective Feature-Adaptive Tracker for Visual Object Tracking

As a challenging visual task, visual object tracking has recently been composed of the classification and regression subtasks. The anchor-free regression network gets rid of the dependence on the anchors, but the redundant range makes it usually regress some samples involving non-target information. Evenly dividing a target by the regular receptive field often causes ambiguous target localization. To address these issues, we propose a regression-selective feature-adaptive tracker (RSFA), where the regression-selective subnetwork can not only free the regression task from anchors, but can also select more effective regression samples using the refined criterion. The proposed feature-adaptive strategy concentrates the classification subnetwork on target feature extraction via adaptively modifying the receptive field, and the attached centrality branch offers a correction for target localization by exploiting the spatial information. Additionally, the designed online update mechanism realizes the tracker's online optimization, improving robustness against target deformation. Extensive experiments are conducted on challenging benchmarks, including GOT10 K, OTB2015, UAV123, NFS, VOT2018, VOT2019 and VOT2020-ST. Our tracker achieves satisfactory tracking results, and the evaluations of its tracking performance rank first or second in comparison with the state-of-the-art tracking algorithms.
Fama-French Three-Factor Versus Daniel-Titman Characteristics Model: A Comparative Study of Asset Pricing Models from India

This study compares the three-factor model (F&F model) proposed by Eugene Fama and Kenneth French with Daniel and Titman’s Characteristics Model (D&T model) using the data of Indian stock returns for the period of 25 years from 1993 to 2018. Three-way sorting (3 × 2 × 2) of stocks based on the B/M ratio and size of the firms, and then by SMB, HML, or ex-ante β loadings, is formulated to design thirty-six portfolios. Regression and rolling regression are applied to the data under study. Results obtained by the F&F model, despite its shortcomings, are found more conclusive than the D&T model for distinguishing between characteristics and covariances for returns on Indian stock. This study favors the F&F model over the D&T model.