Miracle-dz/UniFAR-FTUs huggingface dataset:
Parental Socialization Techniques and Sex Differences in Children's Play.

TAUBER, MARGARET A. Parental Socialization Techniques and Sex Differences in Children's Play. CHILD DEVELOPMENT, 1979, 50, 225-234. As part of a longitudinal study, 164 children aged 8 or 9 were videotaped during a free-play session. Boys were more active and aggressive in their play, girls more sedentary and nurturant. In addition, girls were more prone to self-grooming behavior. There was no support for the hypothesis that children who play with boys' toys have a close relationship with their fathers. Rather, it was the relationship with the mother that determined the extent of sex coding in children's play choices. Cross-sex play, that is, play with toys usually favored by the opposite sex, was found to be more common among children who came from single-sex families, lending support to the idea of role diversification. In a second experiment, these same children returned to the toy room accompanied by a parent. Results showed very little change in toy choice from the first session to the second; children tended to persist in playing with their favorite toys despite the presence of a parent. In general, family constellation, particularly sex of siblings, turned out to be the dominant factor in determining whether children play with toys usually favored by their own sex or expand their play to include toys more often chosen by the opposite sex.
Stereotactic body radiation therapy for liver oligo-recurrence and oligo-progression from various tumors

Purpose To evaluate the outcomes of stereotactic body radiation therapy (SBRT) for patients with liver oligo-recurrence and oligo-progression from various primary tumors. Materials and Methods Between 2002 and 2013, 72 patients with liver oligo-recurrence (oligo-metastasis with a controlled primary tumor) and oligo-progression (contradictory progression of a few sites of disease despite an overall tumor burden response to therapy) underwent SBRT. Of these, 9 and 8 patients with uncontrollable distant metastases and patients immediate loss to follow-up, respectively, were excluded. The total planning target volume was used to select the SBRT dose (median, 48 Gy; range, 30 to 60 Gy, 3–4 fractions). Toxicity was evaluated using the Common Toxicity Criteria for Adverse Events v4.0. Results We evaluated 55 patients (77 lesions) treated with SBRT for liver metastases. All patients had controlled primary lesions, and 28 patients had stable lesions at another site (oligo-progression). The most common primary site was the colon (36 patients), followed by the stomach (6 patients) and other sites (13 patients). The 2-year local control and progression-free survival rates were 68% and 22%, respectively. The 2- and 5-year overall survival rates were 56% and 20%, respectively. The most common adverse events were grade 1–2 fatigue, nausea, and vomiting; no grade ≥3 toxicities were observed. Univariate analysis revealed that oligo-progression associated with poor survival. Conclusion SBRT for liver oligo-recurrence and oligo-progression appears safe, with similar local control rates. For liver oligo-progression, criteria are needed to select patients in whom improved overall survival can be expected through SBRT.
Diagnosis of Preclinical Alzheimer's Disease in a Clinical Setting

Introduction. The aim of the study was to investigate whether the preclinical stage of Alzheimer's disease (AD) can be diagnosed in a clinical setting. To this end we investigated whether subjects with preclinical AD could be differentiated from subjects with nonprogressive mild cognitive impairment and from subjects with very mild AD-type dementia. Methods. Twenty-three subjects with preclinical AD, 44 subjects with nonprogressive mild cognitive impairment, and 25 subjects with very mild AD-type dementia were selected from a memory clinic population. Variables that were used to differentiate the groups were demographic variables, the Mini-Mental State Examination score, performance on cognitive tests, measures of functional impairment, and measures of noncognitive symptomatology. Results. Age and the scores for the delayed recall task could best discriminate between subjects with preclinical AD and subjects with nonprogressive mild cognitive impairment. The overall accuracy was 87% The score on the Global Deterioration Scale and a measure of intelligence could best discriminate between subjects with preclinical AD and subjects with very mild AD-type dementia. The overall accuracy was 85% Conclusions. Subjects with preclinical AD can be distinguished from subjects with nonprogressive mild cognitive impairment and from subjects with very mild AD-type dementia. This means that preclinical AD is a diagnostic entity for which clinical criteria should be developed.
In vitro 3D bone tissue models, from cells to controlled and dynamic environment

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. In vitro 3D bone tissue models, from cells to controlled and dynamic environment Guénaëlle Bouët, David Marchat, Magali Cruel, Luc Malaval, Laurence Vico
One-Sided Competition in Two-Sided Social Platform Markets? An Organizational Ecology Perspective

Similar to love, competition can often be unrequited. This study explores the asymmetric pattern of competition driven by membership overlap in two-sided mobile social apps (MSAs) markets. Building on the niche-width dynamics framework, we theorize and validate the relative prevalence and survival capabilities of messaging apps and SNS apps, especially when membership overlap fosters current or potential competition between the two app categories. The analyses—based on panel dataset consisting of information on 8,483 panel members’ exact amount of time used for 21 mobile social apps—show that competition between SNS and messaging apps can be asymmetric in favor of messaging apps. This asymmetric pattern is more pronounced for membershipbased competition compared to usage-based competition. In addition, different MSAs developed by same platform providers exhibit synergistic effects, rather than destructive consequences, on each other’s growth. The findings identify the complex nature of competition within-category and between-category competition in MSAs markets.
Maternal Incarceration and Children’s Adolescent Outcomes: Timing and Dosage

With rapid growth in female incarceration rates, an unprecedented number of children are growing up in households with incarcerated mothers. This study examines the influences of timing and dosage on the relations between maternal incarceration and adolescent children’s high school dropout rate as well as on the association between maternal incarceration and the youth’s risk of incarceration. The length and frequency of the mother’s separation from her child are here described as dosage. The article analyzes data on 9,563 children who are between the ages of 5 and 17 when their mothers enter either jail or prison. A sibling‐pair sample is used to control for unobserved maternal household‐level characteristics, and the results suggest that only adolescent boys are sensitive to the timing of maternal incarceration, as exposure during early adolescence is associated with larger negative school outcomes than those for exposure during middle childhood or late adolescence. Boys are found to be more sensitive than girls to the frequency of maternal incarceration, but girls are more sensitive to length. Both display sensitivity to dosages of maternal incarceration, and the direction of relations is unexpected.
Compiler-Directed Power Density Reduction in NoC-Based Multi-Core Designs Sri

As transistor counts keep increasing and clock frequencies ris , high power consumption is becoming one of the most important obstacles, preventing further sca ling nd performance improvements. While high power consumption brings many problems with it, high po wer density and thermal hotspots are maybe two of the most important ones. Current architectures p ovide several circuit based solutions to cope with thermal emergencies when they occur but exercisin g them frequently can lead to significant performance losses. This paper proposes a compiler-based a pproach that balances the computational workload across the processors of an NoC based chip multipro cess r such that the chances of experiencing a thermal emergency at runtime are reduced. Our resul ts show that the proposed approach cuts the number of runtime thermal emergencies by 42% on the avera ge on benchmarks tested. c ©2006 IEEE. Personal use of this material is permitted. Howev er, permission to reprint/republish this material for advertising or promotional purposes or fo r creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This paper was supported by NSF Career Award 0093082, NSF gra nt 0202007 and a grant from the GSRC. Compiler-Directed Power Density Reduction in NoC-Based Multi-Core Designs Sri Hari Krishna Narayanan, Mahmut Kandemir, Ozcan Ozturk Department of Computer Science and Engineering The Pennsylvania State University {snarayan,kandemir,ozturk}@cse.psu. edu
Detection and classification of edges in color images [a review of vector-valued techniques] - Signal Processing Magazine, IEEE

n this article, we present a review of techniques for the detection and classification of edges in color images. Edge detection is one of the most important tasks in image processing and scene analysis systems. It denotes the procedure of detecting meaningful discontinuities (edges) of the image function (see Figure 1 for an example of edge detection in color and gray-level image). The accuracy in detecting these discontinuities (edge detection) and the efficiency in implementing these operations are important criteria for using an algorithm in the area of computer vision. Inaccuracies in edge detection directly influence the results of a subsequent feature-based image processing technique, such as region segmentation, stereo analysis, data coding, image retrieval, data hiding, watermarking, or recognition and tracking of objects in image sequences. Edges in gray-level images can be thought of as pixel locations of abrupt gray-level change. A change in the image function can be described by a gradient that points in the direction of the largest growth of the image function. Therefore, one edge detection technique is to measure the gradient vector magnitude at pixel locations. This method works best when the gray-level transition is quite abrupt, like a step function. As the transition region gets wider, it is more advantageous to apply second-order derivatives like the Laplacian. The potential edge pixel locations can then be described by zero-crossings in the results. While edge detection in gray-level images is a well-established area, edge detection in color images has not received the same attention. The fundamental difference between color images and gray-level images is that, in a color image, a color vector (which generally consists of three components) is assigned to a pixel, while a scalar gray-level is assigned to a pixel of a Detection and Classification of Edges in Color Images [A review of vector-valued techniques] F LO W E R P H O TO © 19 91 2 1S T C E N T U R Y M E D IA ,
Luminal epithelium in endometrial fragments affects their vascularization, growth and morphological development into endometriosis-like lesions in mice

ABSTRACT In endometriosis research, endometriosis-like lesions are usually induced in rodents by transplantation of isolated endometrial tissue fragments to ectopic sites. In the present study, we investigated whether this approach is affected by the cellular composition of the grafts. For this purpose, endometrial tissue fragments covered with luminal epithelium (LE+) and without luminal epithelium (LE−) were transplanted from transgenic green-fluorescent-protein-positive (GFP+) donor mice into the dorsal skinfold chamber of GFP− wild-type recipient animals to analyze their vascularization, growth and morphology by means of repetitive intravital fluorescence microscopy, histology and immunohistochemistry during a 14-day observation period. LE− fragments developed into typical endometriosis-like lesions with cyst-like dilated endometrial glands and a well-vascularized endometrial stroma. In contrast, LE+ fragments exhibited a polypoid morphology and a significantly reduced blood perfusion after engraftment, because the luminal epithelium prevented the vascular interconnection with the microvasculature of the surrounding host tissue. This was associated with a markedly decreased growth rate of LE+ lesions compared with LE− lesions. In addition, we found that many GFP+ microvessels grew outside the LE− lesions and developed interconnections to the host microvasculature, indicating that inosculation is an important mechanism in the vascularization process of endometriosis-like lesions. Our findings demonstrate that the luminal epithelium crucially affects the vascularization, growth and morphology of endometriosis-like lesions. Therefore, it is of major importance to standardize the cellular composition of endometrial grafts in order to increase the validity and reliability of pre-clinical rodent studies in endometriosis research.
EXERCISES ON CATALAN AND RELATED NUMBERS

19. [1]{[3+] Show that the Catalan numbers Cn = 1 n+1 2n n count the number of elements of the 66 sets Si, (a) i (nnn) given below. We illustrate the elements of each Si for n = 3, hoping that these illustrations will make any unde ned terminology clear. (The terms used in (vv){(yy) are de ned in Chapter 7. ) Ideally Si and Sj should be proved to have the same cardinality by exhibiting a simple, elegant bijection ij : Si ! Sj (so 4290 bijections in all). In some cases the sets Si and Sj will actually coincide, but their descriptions will di er. (a) triangulations of a convex (n+2)-gon into n triangles by n 1 diagonals that do not intersect in their interiors
How Executive SHRM System Links to Firm Performance: The Perspectives of Upper Echelon and Competitive Dynamics†

This study adopts the upper echelon and competitive dynamics perspectives to investigate the mechanisms by which strategic human resource management (SHRM) can create a competitive advantage for a firm. Top management team (TMT) social integration and action aggressiveness are identified as internal-oriented and external-oriented capabilities, respectively, for a teamwork-oriented executive SHRM system to support in enhancing firm performance. Structural equation modeling is performed to test hypothesized relationships. Statistical results demonstrate TMT social integration and action aggressiveness in sequence partially mediate the relationship of an executive SHRM system and firm performance. Action aggressiveness partially mediates the relationship of TMT social integration and firm performance. This study provides further insights into the SHRM, upper echelon, and competitive dynamics perspectives. The research findings also serve to remind top executives to remain alert in developing a set of teamwork-focused executive SHRM practices, building an integrated team, and proactively shaping competitive actions to outperform rivals.
Towards Efficient and Privacy-Preserving Network-Based Botnet Detection Using Netflow Data

Botnets pose a severe threat to the security of Internet-connected hosts and the availability of the Internet's infrastructure. In recent years, botnets have attracted many researchers. As a result, many achievements in studying different botnets' anatomies have been made and approaches to botnet detection have been developed. However, most of these approaches target at botnet detection using raw packet data. While this data provides the most complete view on botnet induced traffic, it usually cannot efficiently be collected at large network nodes transferring multi-Gigabits per second. Additionally, a deep inspection of network packets endangers the users' privacy. In order to solve these problems different detection methods based on Netflow data have been proposed. To contribute to advances in Netflow-based botnet detection research, we first give an overview of currently known approaches and compare their advantages and disadvantages. We then argue that Netflow-based detection requires the availability of a reference data set based on real data and present a modular data collection environment that is able, amongst others, to generate Netflow data at an ISP node. Finally, we present our vision of a future botnet detection framework based on Netflow data.
What Theory Is Not, Theorizing Is

1995 by Cornell University. 0001 -8392/95/4003-0385/$1 . 00. Products of the theorizing process seldom emerge as fullblown theories, which means that most of what passes for theory in organizational studies consists of approximations. Although these approximations vary in their generality, few of them take the form of strong theory, and most of them can be read as texts created "in lieu of" strong theories. These substitutes for theory may result from lazy theorizing in which people try to graft theory onto stark sets of data. But they may also represent interim struggles in which people intentionally inch toward stronger theories. The products of laziness and intense struggles may look the same and may consist of references, data, lists, diagrams, and hypotheses. To label these five as "not theory" makes sense if the problem is laziness and incompetence. But ruling out those same five may slow inquiry if the problem is theoretical development still in its early stages. Sutton and Staw know this. But it gets lost in their concern with theory as a product rather than as a process. To add complication and nuance to their message, I want to focus on the process of theorizing.
Context-Aware CNNs for Person Head Detection

Person detection is a key problem for many computer vision tasks. While face detection has reached maturity, detecting people under full variation of camera view-points, human poses, lighting conditions and occlusions is still a difficult challenge. In this work we focus on detecting human heads in natural scenes. Starting from the recent R-CNN object detector, we extend it in two ways. First, we leverage person-scene relations and propose a global CNN model trained to predict positions and scales of heads directly from the full image. Second, we explicitly model pairwise relations among the objects via energy-based model where the potentials are computed with a CNN framework. Our full combined model complements R-CNN with contextual cues derived from the scene. To train and test our model, we introduce a large dataset with 369,846 human heads annotated in 224,740 movie frames. We evaluate our method and demonstrate improvements of person head detection compared to several recent baselines on three datasets. We also show improvements of the detection speed provided by our model.
Bi-Hadoop: Extending Hadoop to Improve Support for Binary-Input Applications

The MapReduce programming model, along with its open-source implementation - Hadoop - has provided a cost effective solution for many data-intensive applications. Hadoop stores data distributively and exploits data locality by assigning tasks to where data is stored. Many data-intensive applications, however, require two (or more) input data for each of their tasks. Such applications pose significant challenges for Hadoop as the inputs to one task often reside on multiple nodes, and Hadoop is unable to discover data locality in this scenario. This often leads to excessive data transfers and significant degradations in application performance. In this paper, we present Bi-Hadoop, an efficient extension of Hadoop to better support binary-input applications. Bi-Hadoop integrates an easy-to-use user interface, a binary-input aware task scheduler, and a caching subsystem. Extensive experiments show that Bi-Hadoop can significantly improve the execution of binary-input applications by reducing the data transfer overhead, and outperforms existing Hadoop by up to 3.3x.
The calculation of molecular resonances by complex scaling

The authors argue that the McCurdy-Rescigno (1978) and Moiseyev-Corcoran (1979) methods used to calculate molecular resonances can be viewed as finite-matrix approximations to the mathematically precise 'exterior coplex scaling' method of Simon (1978).
Profiling the phonological abilities of 2-year-olds: a longitudinal investigation

The purpose of this report is to profile the changes in phonological skills produced by a group of 12 children between the ages of 24 and 36 months. Conversational samples obtained from the subjects at 3-month intervals were analysed for phonetic content, prevalent error patterns, syllable shapes and consonant clusters produced. In addition, per cent of consonants correct (PCC) and mean length of utterance (MLU) information is also reported.
Ezh2 regulates differentiation and function of natural killer cells through histone methyltransferase activity

Significance How NK cell development diverges from T/B cell commitment at the common lymphoid progenitor stage is poorly understood. Histone modification near critical gene loci often influences lineage determination. Ezh2 is a histone methyltransferase frequently associated with gene repression. Here we observed that Ezh2-null hematopoietic stem and progenitor cells (HSPCs) or HSPCs treated with Ezh2 inhibitors gave rise to increased NK precursors and mature progeny that display enhanced cytotoxicity against tumor cells. The latter effects were associated with up-regulation of IL-15R (CD122) and the NKG2D-activating receptor. These findings may provide insight into the contribution of epigenetic regulation to the genesis of NK cells and suggest that Ezh2 inhibitors may inhibit tumor growth directly and indirectly through mobilization of NK cells. Changes of histone modification status at critical lineage-specifying gene loci in multipotent precursors can influence cell fate commitment. The contribution of these epigenetic mechanisms to natural killer (NK) cell lineage determination from common lymphoid precursors is not understood. Here we investigate the impact of histone methylation repressive marks (H3 Lys27 trimethylation; H3K27me3) on early NK cell differentiation. We demonstrate that selective loss of the histone-lysine N-methyltransferase Ezh2 (enhancer of zeste homolog 2) or inhibition of its enzymatic activity with small molecules unexpectedly increased generation of the IL-15 receptor (IL-15R) CD122+ NK precursors and mature NK progeny from both mouse and human hematopoietic stem and progenitor cells. Mechanistic studies revealed that enhanced NK cell expansion and cytotoxicity against tumor cells were associated with up-regulation of CD122 and the C-type lectin receptor NKG2D. Moreover, NKG2D deficiency diminished the positive effects of Ezh2 inhibitors on NK cell commitment. Identification of the contribution of Ezh2 to NK lineage specification and function reveals an epigenetic-based mechanism that regulates NK cell development and provides insight into the clinical application of Ezh2 inhibitors in NK-based cancer immunotherapies.