Miracle-dz/UniFAR-FTUs huggingface dataset:
Is there a role for the oncotype DX breast recurrence score genomic assay in estrogen receptor-low positive breast cancer?

564 Background: The Oncotype DX Breast Recurrence Score assay is widely used in estrogen receptor (ER)-positive breast cancer patients to help determine the potential benefit of chemotherapy. However, little is known about the value of the test in breast cancer patients who have ER-low positive (1-10%) cancers. The purpose of this study was to determine the potential utility of the Oncotype test for these patients by describing the range of Recurrence Score (RS) results and patient outcomes. Methods: Patients treated between 8/2011-8/2020 for primary non-metastatic breast cancer that was ER-low positive (10%) and HER2-negative in whom tissue from their surgical excision specimen was available to perform the Oncotype DX assay were identified. Clinicopathologic characteristics were abstracted from patient charts, and the RS result was determined. Results: 38 women with ER-low positive breast cancer and available tissue were identified. The median age was 56.5 (range 36-94); 34 patients were Caucasian, 2 Black, 1 Asian and 1 Hispanic. Thirty-seven patients underwent surgery as their initial intervention and 1 received neoadjuvant chemotherapy. The final pathologic anatomic stage was IA in 26 (68.4%), IB in 10 (26.3%) and IIA in 2 (5.3%); the pathologic nodal status was pN0 in 24 (63.2%), pN0i+ in 3 (7.9%), pN1mi in 1 (2.6%), pN1 in 6 (15.8%) and pNx in 4 (10.5%). The average and median RS was 49 with a range of 23-72; only 2 patients had a RS 25. One patient with RS = 24 was a 64yo with pT1cN0 disease who received chemotherapy + endocrine therapy therefore could potentially have been spared chemotherapy based on the RS result and the TAILORx trial data. Six patients had previously had a RS determined on their diagnostic core biopsy (RS = 46, 58, 45, 47, 51 and 52); the RS on their surgical specimen was concordant (RS = 45, 54, 47, 48, 47, and 50). The ER status as determined by the Oncotype DX assay was positive for 8 (21%) patients. Adjuvant therapy included: chemotherapy and endocrine therapy in 13 (34.2%), chemotherapy alone in 13 (34.2%) and endocrine therapy alone in 4 (10.5%). 8 (21.1%) received no adjuvant therapy. After a median follow-up of 40 months (range 3-106), 3 patients have experienced a recurrence; all 3 had received chemotherapy. The 3-year recurrence free survival rate was 97.0% (95% CI: 96.9-97.1%). All 3 of these patients had a local recurrence; 2 also had a distant recurrence which they ultimately succumbed to. The 3-year disease-specific survival rate was also 97.0% (95% CI: 96.9-97.1%). Conclusions: The majority of the patients with low ER+/HER2- breast cancer had RS > 25 suggesting these tumors are high-risk, more similar to ER- disease. The RS result is of limited utility in ER-low positive patients, as these data indicate that most would benefit from chemotherapy.
Burdens Are Everybody’s Business: Examining the Intersection of Administrative Burdens, Motivation, and Entrepreneurial Culture

Administrative burdens have consequences for entrepreneurial outcomes, and entrepreneurial outcomes have consequences for people’s quality of life. Public administrators should be concerned since they are the gatekeepers of democracy. Using data from 40 countries, this paper investigates the intersection between burdens and entrepreneurship by examining the relationship between burdens and entrepreneurial activity and entrepreneurial culture. The extent to which this relationship is conditioned by entrepreneurial motivation is also explored. The findings indicate that burdens suppress entrepreneurial culture by reducing entrepreneurial activity. Further, entrepreneurial motivation can enable entrepreneurs to be more resilient against burdens.
Variation of bending rigidity with material density: bilayer silica with nanoscale holes

Two dimensional (2D) materials are a young class of materials that is foreseen to play an important role as building blocks in a range of applications, e.g. flexible electronics. For such applications, mechanical properties such as the bending rigidity κ are important. Only a few published measurements of the bending rigidity are available for 2D materials. Nearly unexplored is the question of how the 2D material density influences the bending rigidity. Here, we present helium atom scattering measurements on a “holey” bilayer silica with a density of 1.4 mg m−2, corresponding to 1.7 monolayers coverage. We find a bending rigidity of 6.6 ± 0.3 meV, which is lower than previously published measurements for a complete 2D film, where a value of 8.8 ± 0.5 meV was obtained. The decrease of bending rigidity with lower density is in agreement with theoretical predictions.
Multiple event identification and characterization by retrospective analysis of structured data streams

Abstract The sensors installed in complex systems generate massive amounts of data, which contain rich information about a system’s operational status. This article proposes a retrospective analysis method for a historical data set, which simultaneously identifies when multiple events occur to the system and characterizes how they affect the multiple sensing signals. The problem formulation is motivated by the dictionary learning method and the solution is obtained by iteratively updating the event signatures and sequences using ADMM algorithms. A simulation study and a case study of the steel rolling process validate our approach. The supplementary materials including the appendices and the reproduction report are available online.
Study of Strange Quark Matter and Variable ∧ in Bianchi VI Universe

The present paper deals with strange quark matter i.e. ( 4 ) in the presence of variable cosmological term in Bianchi VI universe. Here we adopt the physical conditions (i)The shear scalar is proportional to expansion scalar and ( ii ) The time dependent cosmological term of the type 2 for the simplification of field equations. We observed some cosmological parameters such as deceleration parameter, quark density, quark pressure etc. Lastly we conclude with the discussion of cosmological perturbations of resultant universe. Also graphs are plotted for the detail study of the resultant model.
recognition of the melanocyte master regulator MITF Restricted leucine zipper dimerization and specificity of DNA Material Supplemental

Material Supplemental http://genesdev.cshlp. org/content/suppl/2012/11/28/26.23. 2647.DC1. html References http://genesdev.cshlp. org/content/26/23/2647.full. html#ref-list-1 This article cites 42 articles, 11 of which can be accessed free at: Open Access Freely available online through the Genes & Development Open Access option. service Email alerting click here top right corner of the article or Receive free email alerts when new articles cite this article sign up in the box at the
Fuzzy regression model with Bayesian approach and its application to public health data

The application of the Bayesian Linear Regression (BLR) and Fuzzy Bayesian Linear Regression method through the SAS algorithm is the focus of this paper. As an alternative method of data analysis in biostatistics, this modified method can be used. This modified method includes a bootstrapping technique, residual normality checking and some Bayesian Linear Regression Modeling (BLR) enhancement through Fuzzy Bayesian Linear Regression. We illustrated the application of the algorithm for Bayesian Linear Regression (BLR) and Fuzzy Bayesian Linear Regression in this paper.
Direction of Arrival Estimation using a Root-MUSIC Algorithm

An array antenna system with innovative signal processing can enhance the resolution of a signal direction of arrival (DOA) estimation. Super resolution algorithms take advantage of array antenna structures to better process the incoming signals. They also have the ability to identify multiple targets. This paper explores the eigen-analysis category of super resolution algorithm. A class of Multiple Signal Classification (MUSIC) algorithms known as a root-MUSIC algorithm is presented in this paper. The root-MUSIC method is based on the eigenvectors of the sensor array correlation matrix. It obtains the signal estimation by examining the roots of the spectrum polynomial. The peaks in the spectrum space correspond to the roots of the polynomial lying close to the unit circle. Statistical analysis of the performance of the processing algorithm and processing resource requirements are discussed in this paper. Extensive computer simulations are used to show the performance of the algorithms.
Comparison of Slides and Video Clips as Different Methods for Inducing Emotions: An Electroencephalographic Alpha Modulation Study

Films, compared with emotional static pictures, represent true-to-life dynamic stimuli that are both ecological and effective in inducing an emotional response given the involvement of multimodal stimulation (i.e., visual and auditory systems). We hypothesized that a direct comparison between the two methods would have shown greater efficacy of movies, compared to standardized slides, in eliciting emotions at both subjective and neurophysiological levels. To this end, we compared these two methods of emotional stimulation in a group of 40 young adults (20 females). Electroencephalographic (EEG) Alpha rhythm (8–12 Hz) was recorded from 64 scalp sites while participants watched (in counterbalanced order across participants) two separate blocks of 45 slides and 45 clips. Each block included three groups of 15 validated stimuli classified as Erotic, Neutral and Fear content. Greater self-perceived arousal was found after the presentation of Fear and Erotic video clips compared with the same slide categories. sLORETA analysis showed a different lateralization pattern: slides induced decreased Alpha power (greater activation) in the left secondary visual area (Brodmann Area, BA, 18) to Erotic and Fear compared with the Neutral stimuli. Instead, video clips elicited reduced Alpha in the homologous right secondary visual area (BA 18) again to both Erotic and Fear contents compared with Neutral ones. Comparison of emotional stimuli showed smaller Alpha power to Erotic than to Fear stimuli in the left precuneus/posterior cingulate cortex (BA 7/31) for the slide condition, and in the left superior parietal lobule (BA 7) for the clip condition. This result matched the parallel analysis of the overlapped Mu rhythm (corresponding to the upper Alpha band) and can be interpreted as Mu/Alpha EEG suppression elicited by greater motor action tendency to Erotic (approach motivation) compared to Fear (withdrawal motivation) stimuli. Correlation analysis found lower Alpha in the left middle temporal gyrus (BA 21) associated with greater pleasantness to Erotic slides (r38 = –0.62, p = 0.009), whereas lower Alpha in the right supramarginal/angular gyrus (BA 40/39) was associated with greater pleasantness to Neutral clips (r38 = –0.69, p = 0.012). Results point to stronger emotion elicitation of movies vs. slides, but also to a specific involvement of the two hemispheres during emotional processing of slides vs. video clips, with a shift from the left to the right associative visual areas.
Functionality-rich Versus Minimalist Platforms : A Two-sided Market Analysis

Should a new ``platform'' target a functionality-rich but complex andexpensive design or instead opt for a bare-bone but cheaper one? This is afundamental question with profound implications for the eventual success ofany platform. A general answer is, however, elusive as it involves a complextrade-off between benefits and costs. The intent of this paper is tointroduce an approach based on standard tools from the fields of marketing andeconomics, which can offer some insight into this difficult question. Wedemonstrate its applicability by developing and solving a generic model thatincorporates key interactions between platform stakeholders. The solutionconfirms that the ``optimal'' number of features a platform should offerstrongly depends on variations in cost factors. More interestingly, it revealsa high sensitivity to small relative changes in those costs. The paper'scontribution and motivation are in establishing the potential of such acrossdisciplinary approach for providing qualitative and quantitativeinsights into the complex question of platform
Maritime platform defense with deep reinforcement learning

We present a method for applying deep reinforcement learning to maritime platform defense, showing how to successfully train agents to schedule countermeasures for defending a fleet of ships against stochastic raids in a simulated environment. Our Schedule Evaluation Simulation (SEvSim) environment was developed using extensive input from subject matter experts and contains realistic threat characteristics, weapon efficacies, and constraints among weapons. Our approach includes novelty in both the representation of the system state and the neural network architecture: threats are represented as vectors containing information on the projected effect of different scheduling actions on their viability and fed to network input “slots” in randomized locations. Agents are trained using Proximal Policy Optimization, a state-of-the-art method for model-free learning. We evaluate the performance of our approach, finding that it learns scheduling strategies that both reliably neutralize threats and conserve inventory. We subsequently discuss the remaining challenges involved in bringing neural-network-based control to realization in this application space. Among these challenges are the needs to integrate humans into the loop, provide safety assurances, and enable continual learning.
Ferritin is secreted via two distinct non-classical vesicular pathways Ferritin Trafficking and Secretion

Ferritin turnover plays a major role in tissue iron homeostasis and ferritin misfunction is associated with impaired iron homeostasis and neurodegenerative diseases. In most eukaryotes, ferritin is considered an intracellular protein that stores iron in a non-toxic and bio-available form. In insects, ferritin is a classically secreted protein and plays a major role in systemic iron distribution. Mammalian ferritin lacks the signal peptide for classical ER-Golgi secretion but is found in serum and is secreted via a non-classical lysosomal secretion pathway. study applied bioinformatics and biochemical tools, alongside a protein trafficking mouse models, to characterize the mechanisms of ferritin secretion. Ferritin trafficking via the classical secretion pathway was ruled out and a 2:1 distribution of intracellular ferritin between membrane-bound compartments and the cytosol was observed, suggesting a role for ferritin in the vesicular compartments of the cell. Focusing on non-classical secretion, we analyzed mouse models of impaired endo-lysosomal trafficking and found that ferritin secretion was decreased by a BLOC-1 mutation but increased by BLOC-2, -3 and Rab27A mutations of the cellular trafficking machinery, suggesting multiple export routes. A 13 amino-acid motif unique to ferritins that lack the secretion signal peptide was identified on the BC-loop of both subunits and plays a role in the regulation of ferritin secretion. Finally, we provide evidence that secretion of iron-rich ferritin was mediated via the multivesicular body-exosome pathway. These results enhance our understanding of the mechanism of ferritin secretion, which is an important piece in the puzzle of tissue iron homeostasis.
The RNA pseudoknots in foot-and-mouth disease virus are dispensable for genome replication, but essential for the production of infectious virus

Non-coding regions of viral RNA (vRNA) genomes are critically important in the regulation of gene expression. In particular, pseudoknot (PK) structures, which are present in a wide range of RNA molecules, have a variety of roles. The 5′ untranslated region (5′ UTR) of foot-and-mouth disease virus (FMDV) vRNA is considerably longer than in other viruses from the picornavirus family and consists of a number of distinctive structural motifs that includes multiple (2, 3 or 4 depending on the virus strain) putative PKs linked in tandem. The role(s) of the PKs in the FMDV infection are not fully understood. Here, using bioinformatics, sub-genomic replicons and recombinant viruses we have investigated the structural conservation and importance of the PKs in the FMDV lifecycle. Our results show that despite the conservation of two or more PKs across all FMDVs, a replicon lacking PKs was replication competent, albeit at reduced levels. Furthermore, in competition experiments, GFP FMDV replicons with less than two (0 or 1) PK structures were outcompeted by a mCherry FMDV wt replicon that had 4 PKs, whereas GFP replicons with 2 or 4 PKs were not. This apparent replicative advantage offered by the additional PKs correlates with the maintenance of at least two PKs in the genomes of FMDV field isolates. Despite a replicon lacking any PKs retaining the ability to replicate, viruses completely lacking PK were not viable and at least one PK was essential for recovery of infections virus, suggesting a role for the PKs in virion assembly. Thus, our study points to roles for the PKs in both vRNA replication and virion assembly, thereby improving understanding the molecular biology of FMDV replication and the wider roles of PK in RNA functions.
PicSOM Experiments in TRECVID 2009

Our experiments in TRECVID 2009 include participation in the high-level feature extraction and automatic search tasks. In the high-level feature extraction task, we used a feature fusion-based general system architecture utilizing a large number of SVM detectors, followed by a post-processing stage utilizing the concepts’ temporal and inter-concept co-occurrences. We submitted the following six runs:
Comparison of Oncologic Outcomes Between Incomplete Obstructive Colon Cancer and Non-Obstructive Colon Cancer by Tumor Location

Introduction Obstruction in colon cancer is a well-known risk factor for worse oncologic outcomes. However, studies on differences in survival of patients with incomplete obstructive colon cancer (IOCC) by tumor location are insufficient. Thus, the aim of this study was to compare oncologic outcomes between IOCC and non-obstructive colon cancer (NOCC) according to tumor location. Methods From January 2010 to December 2015, a total of 2,004 patients diagnosed with stage II or stage III colon adenocarcinoma who underwent elective colectomy were included (IOCC, n = 405; NOCC, n = 1,599). Incomplete obstruction was defined as a state in which colonoscopy could not pass through the cancer lesion but did not require emergent surgery, stent insertion, or stoma formation because the patient was asymptomatic without problem in bowel preparation. Kaplan–Meier method and log-rank tests were used to compare survival between IOCC and NOCC. Multivariable analysis was performed to determine which factors affected survivals. Results Stage III IOCC patients showed significantly lower overall survival (OS) and recurrence-free survival (RFS). Stage II IOCC patients and stage III NOCC patients had similar survival curves. IOCC patients with tumors on the right side showed worse OS than other patients. In multivariable analysis, incomplete obstruction was an independent risk factor for worse OS and RFS in all stages. Tumor located at the right side in stage III was an independent risk factor for RFS (HR: 1.40, p = 0.030). Conclusions Patients with IOCC showed significantly worse survival outcomes than those with NOCC. Stage II IOCC patients and stage III NOCC patients showed similar survival. Patients with stage III IOCC located at the right side showed significantly worse oncologic outcomes than those located at the left side. These results confirm that prognosis is different depending on the presence of incomplete obstruction and the location of the tumor, even in the same stage.
GRU with Dual Attentions for Sensor-Based Human Activity Recognition

Human Activity Recognition (HAR) is nowadays widely used in intelligent perception and medical detection, and the use of traditional neural networks and deep learning methods has made great progress in this field in recent years. However, most of the existing methods assume that the data has independent identical distribution (I.I.D.) and ignore the data variability of different individual volunteers. In addition, most deep learning models are characterized by many parameters and high resources consumption, making it difficult to run in real time on embedded devices. To address these problems, this paper proposes a Gate Recurrent Units (GRU) network fusing the channel attention and the temporal attention for human activity recognition method without I.I. D. By using channel attention to mitigate sensor data bias, GRU and the temporal attention are used to capture important motion moments and aggregate temporal features to reduce model parameters. Experimental results show that our model outperforms existing methods in terms of classification accuracy on datasets without I.I. D. , and reduces the number of model parameters and resources consumption, which can be easily used in low-resource embedded devices.
Simulation by Design: A Parametric Design Tool for Zero Energy Buildings

To address the shortcomings of integrating building simulation in architectural design and to make it more appealing to students, a simple interface to Energyplus was created. This interface models a simple rectangular building that is passively heated by direct gain and cooled by ventilation. A simple photovoltaic interface has also been added to supply fan energy. This tool has an OpenGL modeler for visualization and uses Energyplus for calculations. The interface will run a full year simulation and graph the results. The results are reported in a yearly graph that shows the outdoor and indoor temperature. The indoor temperature range is based on adaptive comfort level. The interface was tested and used in an introductory design studio in order to comply with the 2010 imperative. The students simulated a simple box and changed the buildings parameters until the building fell within the adaptive comfort zone for most of the year. The climate simulated was Chicago, IL. Using these parameters the students then designed the building. The resulting designs show that even though the students were restricted in parameters, such as window percentage, they were still able to creatively design unique buildings that use zero to negative net energy for heating and cooling in a climate such as Chicago.
TERRITÓRIO CORPO-TERRA: RESISTÊNCIAS DAS MULHERES CONTRA O NEOEXTRATIVISMO DA SOJA NO BIOMA PAMPA

Especialmente na última década, o avanço vertiginoso do cultivo da soja no Bioma Pampa é uma das faces da rota de capilarização das fronteiras produtivas do regime neoextrativista na América Latina. Este estudo objetiva investigar como se conformam as repercussões do neoextrativismo da soja no Bioma Pampa brasileiro, enquanto território corpo-terra, e as lutas territoriais protagonizadas pelas mulheres. O estudo é de cunho qualitativo, usufruindo-se de pesquisa bibliográfica e entrevistas semiestruturadas. Como resultados, levantou-se que as repercussões da expansão da soja são ambientais, sociais, culturais e econômicas, ocorrendo a inter-relação entre as problemáticas que incidem sobre o território-terra e território-corpo das mulheres. As resistências se expressam como uma resposta às questões que atravessam as mulheres cotidianamente. A organização de frentes de resistência populares é urgente e indispensável para que a emancipação dos territórios pampeanos e das mulheres ocorra.