Miracle-dz/UniFAR-FTUs huggingface dataset:
Gender and culture: do they matter for norms?

ABSTRACT In a natural experiment, we observed that the influence of a norm depended upon the gender and cultural background of participants. Both gender and cultural background contributed to the effect of peer pressure that partly controlled against the act of cheating among participants as they completed a group task. Furthermore, both factors served to describe the characteristics of hardworking individuals in the group. We therefore conclude that the effectiveness of a norm in a group is expected to depend upon the presence of hardworking individuals therein.
International Conference on Computational Science , ICCS 2010 I / O performance evaluation with Parabench – programmable I / O benchmark

Choosing an appropriate cluster file system for a specific high performance computing application is challenging and depends mainly on the specific application I/O needs. There is a wide variety of I/O requirements: Some implementations require reading and writing large datasets, others out-of-core data access, or they have database access requirements. Application access patterns reflect different I/O behavior and can be used for performance testing. This paper presents the programmable I/O benchmarking tool Parabench. It has access patterns as input, which can be adapted to mimic behavior for a rich set of applications. Using this benchmarking tool, composed patterns can be automatically tested and easily compared on different local and cluster file systems. Here we introduce the design of the proposed benchmark, focusing on the Parabench programming language, which was developed for flexible pattern creation. We also demonstrate here an exemplary usage of Parabench and its capabilities to handle the POSIX and MPI-IO interfaces.
Cortical Dynamics of Figure-Ground Separation in Response to 2D Pictures and 3D Scenes: How V2 Combines Border Ownership, Stereoscopic Cues, and Gestalt Grouping Rules

The FACADE model, and its laminar cortical realization and extension in the 3D LAMINART model, have explained, simulated, and predicted many perceptual and neurobiological data about how the visual cortex carries out 3D vision and figure-ground perception, and how these cortical mechanisms enable 2D pictures to generate 3D percepts of occluding and occluded objects. In particular, these models have proposed how border ownership occurs, but have not yet explicitly explained the correlation between multiple properties of border ownership neurons in cortical area V2 that were reported in a remarkable series of neurophysiological experiments by von der Heydt and his colleagues; namely, border ownership, contrast preference, binocular stereoscopic information, selectivity for side-of-figure, Gestalt rules, and strength of attentional modulation, as well as the time course during which such properties arise. This article shows how, by combining 3D LAMINART properties that were discovered in two parallel streams of research, a unified explanation of these properties emerges. This explanation proposes, moreover, how these properties contribute to the generation of consciously seen 3D surfaces. The first research stream models how processes like 3D boundary grouping and surface filling-in interact in multiple stages within and between the V1 interblob—V2 interstripe—V4 cortical stream and the V1 blob—V2 thin stripe—V4 cortical stream, respectively. Of particular importance for understanding figure-ground separation is how these cortical interactions convert computationally complementary boundary and surface mechanisms into a consistent conscious percept, including the critical use of surface contour feedback signals from surface representations in V2 thin stripes to boundary representations in V2 interstripes. Remarkably, key figure-ground properties emerge from these feedback interactions. The second research stream shows how cells that compute absolute disparity in cortical area V1 are transformed into cells that compute relative disparity in cortical area V2. Relative disparity is a more invariant measure of an object's depth and 3D shape, and is sensitive to figure-ground properties.
Asymmetric Correlations of Equity Portfolios

Correlations between US stocks and the aggregate US market are much greater for downside moves, especially for extreme downside moves, than for upside moves. We develop a new statistic for measuring, comparing and testing asymmetries in conditional correlations. Conditional on the downside, correlations in the data differ from the conditional correlations implied by a normal distribution by 11.6%. We find that conditional asymmetric correlations are fundamentally different from other measures of asymmetry like skewness and co-skewness. We find that small stocks, value stocks and past loser stocks have more asymmetric movements. Controlling for size, we find that stocks with lower betas exhibit greater correlation asymmetries and we find no relationship between leverage and correlation asymmetries. Correlation asymmetries in the data reject the null of multivariate normal distributions at daily, weekly and monthly frequencies. However, several empirical models with greater flexibility, particularly regime-switching models, perform much better at capturing correlation asymmetries.
Effects of Supplemental Exogenous Emulsifier on Performance, Nutrient Metabolism, and Serum Lipid Profile in Broiler Chickens

The effects of an exogenous emulsifier, glyceryl polyethylene glycol ricinoleate, on performance and carcass traits of broiler chickens were assessed. The emulsifier was added to the diet at dose rates of 0 (control), 1 (E1) and 2 (E2) % of added fat (saturated palm oil). Live weight gain (P < .07) and feed conversion ratio (P < .05) in 39 days were higher in the E1 dietary group. Gain: ME intake and gain: protein intake during the grower phase improved quadratically (P < .05). Gross carcass traits were not affected. Body fat content and fat accretion increased (P < .05) and liver fat content decreased (P < .05) linearly with the level of emulsifier in diet. Fat excretion decreased (P < .001) leading to increased ileal fat digestibility (P < .06) in the E1 group (quadratic response). Metabolizable intake of N (P < .1) and fat (P < .05) increased quadratically due to supplementation of emulsifier in diet. Metabolism of trace elements and serum lipid profiles were not affected. The study revealed that supplementation of exogenous emulsifiers in diets containing moderate quantities of added vegetable fats may substantially improve broiler performance.
Organizational Change in Aranzadi

In this paper we analyze the process of technical and organizational innovation through which Aranzadi (the leading firm in the Spanish legal information sector) adapted to the changes in its environment in the late 1980s and early 1990s. After a theoretical introduction, we introduce the firm analyzed (Aranzadi) and study some of the factors that provoked the beginning of the innovation process in the late 1980s. Then, we analyze the main phases of the process of introduction of IT and organizational change in Aranzadi. Afterwards attention is focused on product and process innovation. Then, we consider the organizational change and the downsizing effect in the organizational structure. Finally, we draw the main conclusions of this case study.
Recognizing Gender of Stack Overflow Users

Software development remains a predominantly male activity, despite coordinated efforts from research, industry, and policy makers. This gender imbalance is most visible in social programming, on platforms such as Stack Overflow.To better understand the reasons behind this disparity, and off er support for (corrective) decision making, we and others have been engaged in large-scale empirical studies of activity in these online platforms, in which gender is one of the variables of interest. However, since gender is not explicitly recorded, it is typically inferred by automatic "gender guessers", based on cues derived from an individual's online presence, such as their name and profi le picture. As opposed to self-reporting, used in earlier studies, gender guessers scale better, but their accuracy depends on the quantity and quality of data available in one's online pro le.In this paper we evaluate the applicability of different gender guessing approaches on several datasets derived from Stack Overflow. Our results suggest that the approaches combining different data sources perform the best.
Developing brain and general anesthesia – is there a cause for concern?

Skilled management of sick premature babies and very young children has resulted in numerous exposures of their brains to a variety of anesthetic agents designed to achieve the substantial depth of neuronal inhibition required for complete loss of consciousness and insensitivity to pain. Unfortunately, our recent animal findings suggest that commonly used general anesthetics are damaging to developing neurons and cause significant neuronal deletion in vulnerable brain regions. In addition, emerging animal and human data suggest an association between early exposure to general anesthesia and long-term impairment of cognitive development. Consequently, the prudence of frequent anesthesia exposure of this population is now being scrutinized. It is important to note that on the basis of currently available information, there are still considerable differences of opinion regarding the clinical relevance of the animal findings. Since there is insufficient evidence establishing a clear association between animal and human findings, it would be premature to suggest major changes in current clinical practice.
Abundance gradients in the Milky Way for α elements, iron peak elements, barium, lanthanum, and europium

We model the abundance gradients in the disk of the Milky Way for several chemical elements (O, Mg, Si, S, Ca, Sc, Ti, Co, V, Fe, Ni, Zn, Cu, Mn, Cr, Ba, La and Eu), and compare our results with the most recent and homogeneous observational data. We adopt a chemical evolution model able to well reproduce the main properties of the solar vicinity. The model assumes that the disk formed inside-out with a timescale for the formation of the thin disk of 7 Gyr in the solar vicinity, whereas the halo formed on a timescale of 0.8 Gyr. We adopt new empirical stellar yields derived to best fit the abundances and the abundance ratios in the solar vicinity. We compute, for the first time, the abundance gradients for all the mentioned elements in the galactocentric distance range 4-22 kpc. Comparison with the observed data on Cepheids in the galactocentric distance range 5-17 kpc gives a very good agreement for many of the studied elements. In addition, we well fit the data for the evolution of lanthanum in the solar vicinity, for which we present results here for the first time. We explore, also for the first time, the behavior of the abundance gradients at large galactocentric distances by comparing our results with data relative to distant open clusters and red giants and select the best chemical evolution model on that basis. We find a very good fit to the observed abundance gradients, as traced by Cepheids, for most of the elements, thus confirming the validity of the inside-out scenario for the formation of the Milky Way disk as well as the adopted nucleosynthesis prescriptions. The flat gradients at large galactocentric distances (>12 kpc), as traced by the Cepheids, open cluster and red giant data, lead us to conclude that a model where the density of the halo stellar component is constant in the«inner 20 kpc should be preferred. Other models with different distributions of the halo stellar mass do not produce a good fit of the data.
Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification

Recently, Deep Learning, especially through Convolutional Neural Networks (CNNs) has been widely used to enable the extraction of highly representative features. This is done among the network layers by filtering, selecting, and using these features in the last fully connected layers for pattern classification. However, CNN training for automated endoscopic image classification still provides a challenge due to the lack of large and publicly available annotated databases. In this work we explore Deep Learning for the automated classification of colonic polyps using different configurations for training CNNs from scratch (or full training) and distinct architectures of pretrained CNNs tested on 8-HD-endoscopic image databases acquired using different modalities. We compare our results with some commonly used features for colonic polyp classification and the good results suggest that features learned by CNNs trained from scratch and the “off-the-shelf” CNNs features can be highly relevant for automated classification of colonic polyps. Moreover, we also show that the combination of classical features and “off-the-shelf” CNNs features can be a good approach to further improve the results.
FINDING MINIMA IN COMPLEX LANDSCAPES: ANNEALED, GREEDY AND RELUCTANT ALGORITHMS

We consider optimization problems for complex systems in which the cost function has a multivalleyed landscape. We introduce a new class of dynamical algorithms which, using a suitable annealing procedure coupled with a balanced greedy-reluctant strategy drive the systems towards the deepest minimum of the cost function. Results are presented for the Sherrington-Kirkpatrick model of spin-glasses.
Role of Calmodulin-Calmodulin Kinase II, cAMP/Protein Kinase A and ERK 1/2 on Aeromonas hydrophila-Induced Apoptosis of Head Kidney Macrophages

The role of calcium (Ca2+) and its dependent protease calpain in Aeromonas hydrophila-induced head kidney macrophage (HKM) apoptosis has been reported. Here, we report the pro-apoptotic involvement of calmodulin (CaM) and calmodulin kinase II gamma (CaMKIIg) in the process. We observed significant increase in CaM levels in A. hydrophila-infected HKM and the inhibitory role of BAPTA/AM, EGTA, nifedipine and verapamil suggested CaM elevation to be Ca2+-dependent. Our studies with CaM-specific siRNA and the CaM inhibitor calmidazolium chloride demonstrated CaM to be pro-apoptotic that initiated the downstream expression of CaMKIIg. Using the CaMKIIg-targeted siRNA, specific inhibitor KN-93 and its inactive structural analogue KN-92 we report CaM-CaMKIIg signalling to be critical for apoptosis of A. hydrophila-infected HKM. Inhibitor studies further suggested the role of calpain-2 in CaMKIIg expression. CaMK Kinase (CaMKK), the other CaM dependent kinase exhibited no role in A. hydrophila-induced HKM apoptosis. We report increased production of intracellular cAMP in infected HKM and our results with KN-93 or KN-92 implicate the role of CaMKIIg in cAMP production. Using siRNA to PKACA, the catalytic subunit of PKA, anti-PKACA antibody and H-89, the specific inhibitor for PKA we prove the pro-apoptotic involvement of cAMP/PKA pathway in the pathogenicity of A. hydrophila. Our inhibitor studies coupled with siRNA approach further implicated the role of cAMP/PKA in activation of extracellular signal-regulated kinase 1 and 2 (ERK 1/2). We conclude that the alteration in intracellular Ca2+ levels initiated by A. hydrophila activates CaM and calpain-2; both pathways converge on CaMKIIg which in turn induces cAMP/PKA mediated ERK 1/2 phosphorylation leading to caspase-3 mediated apoptosis of infected HKM.
Training Culturally Competent Social Workers: What Students Should Know About Native People

Many social work educators have expressed a commitment to including information aboutdiverse populations in their teaching yet this is often easier said than done. Limited class time is available to cover many important issues and in spite of the best of intentions, diversity issues often receive inadequate attention. In particular, content on Native American people is often left out of the social work curriculum. Specific recommendations are made about how social work educators can teach students to work effectively with Native people. Suggestions on what content should be taught, how it can be taught, and where it can be integrated into the social work curriculum are included.
Emotion Separation Is Completed Early and It Depends on Visual Field Presentation

It is now apparent that the visual system reacts to stimuli very fast, with many brain areas activated within 100 ms. It is, however, unclear how much detail is extracted about stimulus properties in the early stages of visual processing. Here, using magnetoencephalography we show that the visual system separates different facial expressions of emotion well within 100 ms after image onset, and that this separation is processed differently depending on where in the visual field the stimulus is presented. Seven right-handed males participated in a face affect recognition experiment in which they viewed happy, fearful and neutral faces. Blocks of images were shown either at the center or in one of the four quadrants of the visual field. For centrally presented faces, the emotions were separated fast, first in the right superior temporal sulcus (STS; 35–48 ms), followed by the right amygdala (57–64 ms) and medial pre-frontal cortex (83–96 ms). For faces presented in the periphery, the emotions were separated first in the ipsilateral amygdala and contralateral STS. We conclude that amygdala and STS likely play a different role in early visual processing, recruiting distinct neural networks for action: the amygdala alerts sub-cortical centers for appropriate autonomic system response for fight or flight decisions, while the STS facilitates more cognitive appraisal of situations and links appropriate cortical sites together. It is then likely that different problems may arise when either network fails to initiate or function properly.
Clinical impacts of a micropapillary pattern in lung adenocarcinoma: a review

Lung adenocarcinoma with a micropapillary pattern (MPPAC) has recently drawn increased attention among researchers. Micropapillary-predominant adenocarcinoma (MPA), which is defined by micropapillary pattern (MPP), is the primary histological pattern observed semiquantitatively in 5% increments on resection specimens, and MPA was formally determined to be a new histological subtype according to the new multidisciplinary classification in 2011. According to published studies, MPPAC is most common in males and nonsmokers and is associated with lymphatic invasion, pleural invasion, and lymph node metastases. MPPAC often presents as part-solid and lobulated nodules in computed tomography scans. MPP tends to have a higher maximum standardized uptake value as determined by fluorodeoxyglucose positron emission tomography combined with computed tomography, indicating a high risk of recurrence. Molecular markers, including vimentin, napsin A, phosphorylated c-Met, cytoplasmic maspin, Notch-1, MUC1, and tumoral CD10, may have higher expression in MPPAC than other subtypes; conversely, markers such as MUC4 and surfactant apoprotein A have lower expression in MPPAC. MPPAC with EGFR mutations can benefit from treatment with EGFR tyrosine kinase inhibitors. Furthermore, a complete lobectomy may be more suitable than limited resection for MPPAC because of the low sensitivity of intraoperative frozen sections and the high risk of lymph node metastasis. MPA benefits more from adjuvant chemotherapy than do other histological subtypes, whereas MPA does not benefit from adjuvant radiotherapy. Of note, MPP is associated with poor prognosis in early-stage lung adenocarcinoma, but the prognostic value of MPP is controversial in advanced-stage lung adenocarcinoma.
Issue 1 (April-June 2012) International journal of the academy of Organizational behavior management (IJAOBM)

Problem Statement: This research analyzes the relationship between cognitive and behavioral change that comes with organizational learning and performance, understanding how these changes afect performance. Very little is known about how cognitive and behavioral changes afect improvements efectively in organizational performance. Method: Based on the literature, we develop a theoretical model that shows interrelations between cognitive change, behavioral change and organizational performance. The hypotheses are tested using data collected from 408 CEOs in Spanish organizations. The study analyzes the data using structural equations modeling (LISREL 8.71 program). Results: this research reflects the positive efects of cognitive change on behavioral change and it also show how these variables positively afect organizational performance. Conclusions: Learning occurs when it produces a change in conduct as a result of a change in the level of knowledge. The results support the importance of both changes in generating improvements in organizational performance
Pilot Study of Neoadjuvant Treatment with Erlotinib in Nonmetastatic Head and Neck Squamous Cell Carcinoma

Purpose: To determine the safety and efficacy of erlotinib given as neoadjuvant treatment in patients with head and neck squamous cell carcinoma (HNSCC). Further objectives were to identify markers of response to erlotinib and to assess the pharmacodynamic effects of erlotinib in tumor cells. Experimental Design: Patients with locally advanced nonmetastatic HNSCC were treated with erlotinib 150 mg daily pending surgical management. Tumor samples were collected before and after erlotinib treatment and were analyzed using immunohistochemistry. Epidermal growth factor receptor copy number was determined in tumors using CISH analysis. Results: Between November 2003 and December 2005, 35 patients were included in the study. Neoadjuvant treatment with erlotinib in HNSCC patients was well tolerated and did not necessitate modification to routine surgical procedures. Among 31 evaluable patients, erlotinib was given for a median of 20 days. At the time of surgery, tumor shrinkage was observed in nine patients (29%). Immunohistochemistry analyses were done for 31 patients and showed a decrease in phosphorylated tyrosine residues and phosphorylated erk immunostaining after erlotinib treatment. In a retrospective analysis, baseline p21waf expression in the basal-like cell layer was statistically positively correlated with clinical response to treatment. Epidermal growth factor receptor copy number did not correlate with response to erlotinib. Conclusion: Neoadjuvant treatment of HNSCC with erlotinib was well tolerated. Baseline p21waf expression was associated with response to erlotinib and so might be useful as a tool to select patients for erlotinib therapy in this setting.
Intrusion detection model based on ensemble learning for U2R and R2L attacks

Intrusion Detection System (IDS) is a tool for anomaly detection in network that can help to protect network security. At present, intrusion detection systems have been developed to prevent attacks with accuracy. In this paper, we concentrate on ensemble learning for detecting network intrusion data, which are difficult to detect. In addition, correlation-based algorithm is used for reducing some redundant features. Adaboost algorithm is adopted to create the ensemble of weak learners in order to create the model that can protect the security and improve the performance of classifiers. The U2R and R2L attacks in KDD Cup'99 intrusion detection dataset are used to train and test the ensemble classifiers. The experimental results show that reducing features can improve efficiency in attack detection of classifiers in many weak leaners.
Responsible volunteer tourism: a comment on Burrai and Hannam

CONTEXT This section of the journal encourages discussion between several authors on a policy-related topic. The same question may, therefore, be addressed from different theoretical, cultural or spatial perspectives. Dialogues may be applied or highly abstract. The Dialogue in this issue starts with Burrai and Hannam contribution here https://doi.org/10.1080/19407963.2017. 1362809.