Miracle-dz/UniFAR-FTUs huggingface dataset:
Moderately luminous Type II supernovae

Context. Core-collapse Supernovae (CC-SNe) descend from progenitors more massive than about 8 M⊙. Because of the young age of the progenitors, the ejecta may eventually interact with the circumstellar medium (CSM) via highly energetic processes detectable in the radio, X-ray, ultraviolet (UV) and, sometimes, in the optical domains. Aims. In this paper we present ultraviolet, optical and near infrared observations of five Type II SNe, namely SNe 2009dd, 2007pk, 2010aj, 1995ad, and 1996W. Together with few other SNe they form a group of moderately luminous Type II events. We investigate the photometric similarities and differences among these bright objects. We also attempt to characterise them by analysing the spectral evolutions, in order to find some traces of CSM-ejecta interaction. Methods. We collected photometry and spectroscopy with several telescopes in order to construct well-sampled light curves and spectral evolutions from the photospheric to the nebular phases. Both photometry and spectroscopy indicate a degree of heterogeneity in this sample. Modelling the data of SNe 2009dd, 2010aj and 1995ad allows us to constrain the explosion parameters and the properties of the progenitor stars. Results. The light curves have luminous peak magnitudes (−16.95 < MB < −18.70). The ejected masses of 56Ni for three SNe span a wide range of values (2.8 × 10-2 M⊙ < M(56Ni)< 1.4 × 10-1 M⊙), while for a fourth (SN 2010aj) we could determine a stringent upper limit (7 × 10-3 M⊙). Clues of interaction, such as the presence of high velocity (HV) features of the Balmer lines, are visible in the photospheric spectra of SNe 2009dd and 1996W. For SN 2007pk we observe a spectral transition from a Type IIn to a standard Type II SN. Modelling the observations of SNe 2009dd, 2010aj and 1995ad with radiation hydrodynamics codes, we infer kinetic plus thermal energies of about 0.2–0.5 foe, initial radii of 2–5 × 1013 cm and ejected masses of ~5.0–9.5 M⊙. Conclusions. These values suggest moderate-mass, super-asymptotic giant branch (SAGB) or red super-giants (RSG) stars as SN precursors, in analogy with other luminous Type IIP SNe 2007od and 2009bw.
Associations between age and gray matter volume in anatomical brain networks in middle-aged to older adults

Aging is associated with cognitive decline, diminished brain function, regional brain atrophy, and disrupted structural and functional brain connectivity. Understanding brain networks in aging is essential, as brain function depends on large‐scale distributed networks. Little is known of structural covariance networks to study inter‐regional gray matter anatomical associations in aging. Here, we investigate anatomical brain networks based on structural covariance of gray matter volume among 370 middle‐aged to older adults of 45–85 years. For each of 370 subjects, we acquired a T1‐weighted anatomical MRI scan. After segmentation of structural MRI scans, nine anatomical networks were defined based on structural covariance of gray matter volume among subjects. We analyzed associations between age and gray matter volume in anatomical networks using linear regression analyses. Age was negatively associated with gray matter volume in four anatomical networks (P < 0.001, corrected): a subcortical network, sensorimotor network, posterior cingulate network, and an anterior cingulate network. Age was not significantly associated with gray matter volume in five networks: temporal network, auditory network, and three cerebellar networks. These results were independent of gender and white matter hyperintensities. Gray matter volume decreases with age in networks containing subcortical structures, sensorimotor structures, posterior, and anterior cingulate cortices. Gray matter volume in temporal, auditory, and cerebellar networks remains relatively unaffected with advancing age.
Nanoparticles Suitable for BCAA Isolation Can Serve for Use in Magnetic Lipoplex-Based Delivery System for L, I, V, or R-rich Antimicrobial Peptides

This paper investigates the synthesis of paramagnetic nanoparticles, which are able to bind branched chain amino acids (BCAAs)—leucine, valine, and isoleucine and, thus, serve as a tool for their isolation. Further, by this, we present an approach for encapsulation of nanoparticles into a liposome cavity resulting in a delivery system. Analyses of valine and leucine in entire complex show that 31.3% and 32.6% recoveries are reached for those amino acids. Evaluation of results shows that the success rate of delivery in Escherichia coli (E. coli) is higher in the case of BCAAs on nanoparticles entrapped in liposomes (28.7% and 34.7% for valine and leucine, respectively) when compared to nanoparticles with no liposomal envelope (18.3% and 13.7% for valine and leucine, respectively). The nanoparticles with no liposomal envelope exhibit the negative zeta potential (−9.1 ± 0.3 mV); however, their encapsulation results in a shift into positive values (range of 28.9 ± 0.4 to 33.1 ± 0.5 mV). Thus, electrostatic interactions with negatively-charged cell membranes (approx. −50 mV in the case of E. coli) leads to a better uptake of cargo. Our delivery system was finally tested with the leucine-rich antimicrobial peptide (FALALKALKKALKKLKKALKKAL) and it is shown that hemocompatibility (7.5%) and antimicrobial activity of the entire complex against E. coli, Staphylococcus aureus (S. aureus), and methicilin-resistant S. aureus (MRSA) is comparable or better than conventional penicillin antibiotics.
Maintenance of villus height and crypt depth, and enhancement of disaccharide digestion and monosaccharide absorption, in piglets fed on cows' whole milk after weaning

The aims of the present study were (a) to maintain the structure and function of the small intestine of the piglet after weaning, and (b) to compare the capacity in vivo of sucking and weaned piglets to digest oral boluses of lactose and sucrose and absorb their monosaccharide products. Piglets were fed on cows' whole milk ad libitum every 2 h for 5 d after weaning. Physiological doses of lactose plus fructose (treatment LAC + FRU) and sucrose plus galactose (treatment SUC + GAL) were administered on day 27 of lactation and on the fifth day after weaning, after which time piglets were killed. Villus height and crypt depth were maintained (P > 0·05) by feeding cows' milk after weaning. The areas under the curves (AUC) for galactose and glucose, adjusted for live weight and plasma volume, increased (P < 0·05) after weaning. Despite the enhancement of gut function after weaning, the galactose index (Gall: AUC for galactose ingested as lactose divided by the AUC for the same dose of galactose ingested as the monosaccharide) and fructose index (FruI: AUC for fructose ingested as sucrose divide by the AUC for the same dose of fructose ingested as the monosaccharide), which are indices of digestive and absorptive efficiency, both decreased after weaning. This apparent anomaly may be reconciled by increased growth, and hence surface area, of the small intestine between weaning and slaughter such that ‘total’ digestion and absorption most probably increased despite apparent decreases in GalI and FrnI. Positive correlations (P < 0.05) between villus height and Gall are consistent with the maximum activity of lactase occurring more apically along the villus. Significant linear relationships (P < 0·05) were recorded between villus height at the proximal jejunum and adjusted AUC for galactose and glucose following treatment LAC + FRU, and between villus height at the proximal jejunum and adjusted glucose AUC following treatment SUC + GAL. These relationships suggest that maximum digestion and absorption occurs at increasing distances along the crypt:villus axis in the weaned pig.
Malware classification using gray-scale images and ensemble learning

Malware authors can easily generate obfuscated and metamorphic malware to evade the detection of anti-virus software using automated toolkits. To identify these variations, we design an efficient system to detect and classify the malicious software. We construct a controlled disassembly files from malware. And we convert disassembly files into gray-scale images. In order to improve the efficiency, we use the local mean method to compress gray-scale images, which are mapped into feature vectors. To classify malware, we propose a novel ensemble learning which is based on K-means and the diversity selection. Finally, our experiments show that our method is able to effectively classify the malware.
Learning Deep Features For MSR-bing Information Retrieval Challenge

Two tasks have been put forward in the MSR-bing Grand Challenge 2015. To address the information retrieval task, we raise and integrate a series of methods with visual features obtained by convolution neural network (CNN) models. In our experiments, we discover that the ranking strategies of Hierarchical clustering and PageRank methods are mutually complementary. Another task is fine-grained classification. In contrast to basic-level recognition, fine-grained classification aims to distinguish between different breeds or species or product models, and often requires distinctions that must be conditioned on the object pose for reliable identification. Current state-of-the-art techniques rely heavily upon the use of part annotations, while the bing datasets suffer both abundance of part annotations and dirty background. In this paper, we propose a CNN-based feature representation for visual recognition only using image-level information. Our CNN model is pre-trained on a collection of clean datasets and fine-tuned on the bing datasets. Furthermore, a multi-scale training strategy is adopted by simply resizing the input images into different scales and then merging the soft-max posteriors. We then implement our method into a unified visual recognition system on Microsoft cloud service. Finally, our solution achieved top performance in both tasks of the contest
Becoming hybrid: The negotiated order on the front line of public–private partnerships

This article examines how tensions in institutional logics, created in the formation of hybrid organizations, are played out, and partially resolved, through micro-level interactions within everyday work. Drawing on the negotiated order perspective, our research examined how the ‘context’, ‘processes’ and ‘outcomes’ of micro-level negotiations reflect and mitigate tensions between institutional logics. Our ethnographic study of a public–private partnership within the English healthcare system identified tensions within the hybrid organization around organizational goals and values, work activities, hierarchies and the materials and technologies of work. We also identified processes of negotiation between actors, which contributed to negotiated settlements, at times combining elements of parent institutional logics, and at other times serving to keep parent logics distinct. The article demonstrates the relevance of negotiated order perspective to current institutional logics literature on hybrid organizations.
Computer-Supported Intentional Learning Environments

CSILE, which stands for Computer-Supported Intentional Learning Environments, is an educational knowledge media system. CSILE allows information in several media (text, drawings, graphs, timelines, etc.) to be entered into a common database where it is available to be retrieved, linked, commented on, rated, and so forth. The environments and operations of CSILE are designed to support students in more purposeful and mature, or intentional, processing of information. In this article eleven principles, based on recent cognitive research, are suggested for designing computer environments that support intentional learning. These principles include making knowledge-construction activities overt, maintaining attention to learning goals as opposed to other goals of an activity, providing process-relevant feedback, and giving students responsibility for contributing to each other's learning. Applications of these principles in CSILE are described, as well as observations from the first year of school try-out.
Energy-Efficient Uplink Multi-User MIMO

This paper addresses optimal energy-efficient design for uplink (UL) MU-MIMO in a single cell environment. The energy efficiency is measured by throughput per Joule, while both RF transmission power and device electronic circuit power are considered. We define the energy efficiency (EE) capacity for UL MU-MIMO and study the power allocation that achieves this capacity. First we assume all users consume a fixed amount of circuit power and show that user antennas should be used only when the corresponding spatial channels are sufficiently good and using them improves the overall network EE. Mobile devices may have improved circuit management capability and turn off circuit operations when some antennas are not used to reduce circuit power consumption. Therefore we further study energy-efficient UL MU-MIMO with improved circuit management and show that some antennas should not be used even when their channel states are good because turning them on consumes too much circuit power. Based on theoretical analysis, we further develop low-complexity yet globally optimal energy-efficient power allocation algorithms that converge to the optimum exponentially. Simulation results are provided to demonstrate the significant gain in network energy efficiency.
The New Game in Town: Competitive Effects of IPOs

We analyze the effect of initial public offerings (IPOs) on industry competitors and provide evidence that companies experience negative stock price reactions to completed IPOs in their industry and positive stock price reactions to their withdrawal. Following a successful IPO in their industry, they show significant deterioration in their operating performance. These results are consistent with the existence of IPO‐related competitive advantages through the loosening of financial constraints, financial intermediary certification, and the presence of knowledge capital. These aspects of competitiveness are significant in explaining the cross‐section of underperformance as well as survival probabilities for competing firms.
Do PCAOB Inspections Improve the Quality of Internal Control Audits?

We test whether PCAOB inspections help remediate auditors’ deficiencies in detecting and reporting material internal control weaknesses. After PCAOB inspectors report higher rates of internal control audit deficiencies, we find that auditors respond by increasing their issuance of adverse internal control audit opinions. We also find that the increased adverse internal control opinions are issued to clients that genuinely warrant such opinions, and are not simply the result of auditors becoming more conservative in their reporting practices. Finally, we find that higher inspection deficiency rates also lead to higher audit fees. Taken together, our results are consistent with critical inspection reports prompting auditors to perform more rigorous tests and evaluations of their clients’ internal controls. Overall, our findings suggest that PCAOB inspections improve the quality of internal control audits through their ability to remediate deficiencies in auditors’ internal control audit procedures.
Tracking down performance variation against source code evolution

Little is known about how software performance evolves across software revisions. The severity of this situation is high since (i) most performance variations seem to happen accidentally and (ii) addressing a performance regression is challenging, especially when functional code is stacked on it. This paper reports an empirical study on the performance evolution of 19 applications, totaling over 19 MLOC. It took 52 days to run our 49 benchmarks. By relating performance variation with source code revisions, we found out that: (i) 1 out of every 3 application revisions introduces a performance variation, (ii) performance variations may be classified into 9 patterns, (iii) the most prominent cause of performance regression involves loops and collections. We carefully describe the patterns we identified, and detail how we addressed the numerous challenges we faced to complete our experiment.
Facebook Addiction and Aggression: Is There a Profound Relation?

The study intends to investigate the relation of Facebook addiction and aggression among college students, and to determine if there is gender specificity in their aggression levels. The Bergen Facebook Addiction Scale (BFAS) by Andreassen et al. (2012), which measures Facebook addiction in the areas of salience, tolerance, mood modification, withdrawal, conflict and relapse, and the Buss-Perry Aggression Questionnaire (BPAQ) of Buss and Perry (1992), which measures four forms of aggression (physical aggression, verbal aggression, hostility, and anger), were administered to 354 college students, followed by a focus group discussion involving 12 students. Correlation analysis was used to test the relationship of the variables, while t-test for independent samples was utilized to test the gender specificity of aggression. Content cloud analysis was also used to visually-display the emerging dominant words from the transcripts of the FGD. Analysis revealed moderate Facebook addiction and moderate tendencies of aggression among college students. Of the four forms of aggression, physical aggression was also gender-specific as noted on the higher level of tendencies in males. Facebook addiction and aggression among college students are positively related, p
Backscattering from a two-scale rough surface with application to radar sea return

A two-scale composite surface scattering theory was developed without using the noncoherent assumption. The surface is assumed electrically homogeneous and finitely conducting; the surface roughness may be nonuniform geometrically. The special forms of the terms for excluding the non-coherent assumption and the meanings of these terms are discussed. To gain insight into the mechanisms of backscattering, the results are compared with those obtained by previous theories. The comparison with NRL data shows satisfactory agreement for both horizontal and vertical polarization, especially for incident angles larger than 30 deg. For smaller incident angles, NASA/JSC data have been chosen for comparison and close agreement is again observed.
On the Cultivation of Their Community of Practice: A Case Study of EFL Malaysian Pre-Service Teachers

This study examined the experiences of five EFL student teachers/pre-service teachers (PSTs) who participated in a Community of Practice (CoP) during their simulated teaching course and the practicum stage or teaching practice (TP), at The University of Malaya, a public Malaysian university. The experiences and tensions they encountered through this stage were discussed in the light of cultivating their CoP over five stages. Joining the CoP, increasing participation and negotiation of one’s tacit knowledge and assumptions were found to be productive at their learning to teach stage. However, some tensions, such as English proficiency level, self-confidence and agency, power relationships and worries of assessment persisted until the end of their practice. The results highlighted the significance of collaboration, reflection and social interactions with other CoP members as key to PSTs’ learning.
Microrheology and Release Behaviors of Self-Assembled Steroid Hydrogels

A hydrogel is formed by the self-assembly of sodium deoxycholate (NaDC) in aqueous solution with sodium chloride at pH-7.0. The NaDC hydrogel made of the three-dimensional network of nanofibers shows pH-dependent swelling behaviors. Polystyrene particles with a diameter of 100 nm and doxorubicin hydrochloride (DOX) can be easily loaded into the NaDC hydrogel through swelling. By using the loaded polystyrene particles as a light scattering probe, we study the microrheology of the NaDC hydrogel, showing complex viscoelastic properties. The viscous component dominates at both low and high frequencies, while the elastic component dominates in the intermediate range. The cavity size of the nanofiber network can also be estimated to be ~180 nm. We show that the loaded DOX can be slowly released from the hydrogels into aqueous solution. The release profile of DOX is found to depend on the pH value of the solution.
Opportunity Discovery, Entrepreneurial Action, and Economic Organization

This paper reviews and critiques the "opportunity discovery" approach to entrepreneurship and argues that entrepreneurship can be more thoroughly grounded, and more closely linked to more general problems of economic organization, by adopting the Cantillon-Knight-Mises understanding of entrepreneurship as judgment. I begin by distinguishing among occupational, structural, and functional approaches to entrepreneurship and distinguishing among two influential interpretations of the entrepreneurial function, discovery and judgment. I turn next to the contemporary literature on opportunity identification and argue that this literature misinterprets Kirzner's instrumental use of the discovery metaphor and mistakenly makes "opportunities" the unit of analysis. I then describe an alternative approach in which investment is the unit of analysis and link this approach to Austrian capital theory. I close with some applications to organizational form and entrepreneurial teams.
Effect of consumption of fermented milk with Lactobacillus Casei and Lactobacillus Plantarum isolated from Ligvan Cheese against E.Coli O157:H7 Induced Infections in BALB/C Mice

In the recent years, association of E.coli O157:H7 with hemorrhagic Colitis has been reported and this strain is known as causative agent of bloody diarrhea and predominant cause of hemolytic uremic syndrome (HUS). The aim of present study was to assess prevention role of fermented milk on E.coli O157:H7 infection which prepared by adding isolated L.plantarum (MLp)and L. casei (MlLc) from local Ligvan cheese either with only one probiotic or combined form of them (MLpc). In this study, 40 male mice (BALB/c strain) with an average of 6-8 weeks old were categorized in 4 groups. During a week, 1 (MLp), 2 (MLc), and 3 (MLpc) test groups were prescribed daily by 0.5 ml milk that were fermented by one of probiotic, the last group, was control group with normal nutrition. All of groups were fed by Escherichia coli O157:H7 equal 0.5 McFarland standards by using gavages, after 24 h from last treatments. The stool samples were taken from all of the group in days 1, 3, 5, and 7 in order to assess the excretion rate of Escherichia coli O157:H7. Five mice from each group were autopsied in 3 rd and 7 th day for evaluation of the colonization rate. So, 5cm of large intestine of mice were cut and serial dilutions of stool samples were prepared and cultured in Sorbitol Mac Conkey agar. White colonies (Sorbitol negative) in Sorbitol Mac Conkey agar were counted. Based on the statistical tests, there were significant difference (P<0.05) between test groups. The results of present study were shown that the consumption of fermented milk by probiotics could reduce significantly the exertion and colonization of Escherichia coli O157:H7 in the intestine of the mice. (Hamid Mirzaei, Hamed Shahirfar, Haedeh Mobaiyen. Effect of consumption of fermented milk with Lactobacillus Casei and Lactobacillus Plantarum isolated from Ligvan Cheese against E.Coli O157:H7 Induced Infections in BALB/C Mice. Life Sci J 2012;9(4):5895-5898) (ISSN:1097-8135). http://www.lifesciencesite. com . 882