Miracle-dz/UniFAR-FTUs huggingface dataset:
Designing Organizations for Dynamic Fit: System Stability, Maneuverability, and Opportunity Loss

Fit represents a central concept for organizational design, but extant research maintains a static focus on fit, a focus that is incommensurate with the fundamentally dynamic nature of organizations and their environments. Most key organizational environments are inherently dynamic; hence, the corresponding organizational designs required for fit are necessarily dynamic too. The problem is, the dynamics of fit are not addressed well by extant theory in organization and management sciences. Alternatively, organizations can be viewed as systems of purposeful design, and designing organizations to maintain fit and respond to dynamic environments over time may be informed well by theory and practice in engineering fields where such design is well established. In this paper, we abstract to the level of airplane design, and we utilize the dynamical language and integrated system of concepts, definitions, and interrelationships from the engineering field Aerodynamics to extend organization and management sciences and address the problem of organizational design in a dynamic context. We begin with a focused summary of the literature regarding the nature of organizational fitness. We then outline a conceptual model adapted to organizational design from Aerodynamics, and we summarize the key aerodynamics concepts stability and maneuverability to inform our conceptualization in terms of both airplane and organization design. This paper enables us to articulate a set of propositions and measures that form a basis for empirical testing. This paper also reveals important, dynamic organizational design tradeoffs and implications, and it shows how such conceptualization can elucidate new insights via comparison with and extension to extant theory.
The Testing Effect and Far Transfer: The Role of Exposure to Key Information

Butler (2010: Experiment 3) showed that retrieval practice enhanced transfer to a new knowledge domain compared to rereading. The first experiment of the present study was a direct replication of Butler’s third experiment. Participants studied text passages and then either reread them three times or went through three cycles of cued recall questions (i.e., retrieval practice) with feedback. As in Butler’s (2010) experiment, an advantage of retrieval practice on the final far transfer test emerged after 1 week. Additionally, we observed an advantage of retrieval practice on the final test administered after 5 min. However, these advantages might have been due to participants in the retrieval practice condition receiving focused exposure to the key information (i.e., the feedback) that was needed to answer the final test questions. We therefore conducted a second experiment in which we included the retrieval practice condition and the reread condition from our first experiment, as well as a new reread-plus-statements condition. In the reread-plus-statements condition, participants received focused exposure to the key information after they had reread a text. As in Experiment 1, we found a large effect on far transfer when retrieval practice was compared to rereading. However, this effect was substantially reduced when retrieval practice was compared to the reread-plus-statements condition. Taken together, the results of the present experiments demonstrate that Butler’s (2010) testing effect in far transfer is robust. Moreover, focused exposure to key information appears to be a significant factor in this far transfer testing effect.
ASAP: Prioritizing Attention via Time Series Smoothing

Time series visualization of streaming telemetry (i.e., charting of key metrics such as server load over time) is increasingly prevalent in modern data platforms and applications. However, many existing systems simply plot the raw data streams as they arrive, often obscuring large-scale trends due to small-scale noise. We propose an alternative: to better prioritize end users' attention, smooth time series visualizations as much as possible to remove noise, while retaining large-scale structure to highlight significant deviations. We develop a new analytics operator called ASAP that automatically smooths streaming time series by adaptively optimizing the trade-off between noise reduction (i.e., variance) and trend retention (i.e., kurtosis). We introduce metrics to quantitatively assess the quality of smoothed plots and provide an efficient search strategy for optimizing these metrics that combines techniques from stream processing, user interface design, and signal processing via autocorrelation-based pruning, pixel-aware preaggregation, and on-demand refresh. We demonstrate that ASAP can improve users' accuracy in identifying long-term deviations in time series by up to 38.4% while reducing response times by up to 44.3%. Moreover, ASAP delivers these results several orders of magnitude faster than alternative search strategies.
Zur Unterscheidung un Funktion von restriktiven und appositiven Relativsätzen des Deutschen: 1578

This article deals with the distinction of restrictive and appositive German relatives. It presents the results of a study of spontaneous-spoken dialogues which examined the distinctive criterias for the restrictive or appositive classification: on the one hand the semantic-syntactic properties of a relative and on the other hand its intonation pattern. At 25% the two criterias reveal divergent results. Predominantly speakers mark appositive relatives with an restrictive intonation. It is argued that present approaches neglect important pragmatic aspects of the usage of relatives. The intonation plays an important role for the identifying function of relatives
Exosomes as the source of biomarkers of metabolic diseases

Exosomes are extracellular vesicles that contain molecules that regulate the metabolic functions of adjacent or remote cells. Recent in vitro, in vivo and clinical studies support the hypothesis that exosomes released from various cell types play roles in the progression of metabolic disorders including type 2 diabetes. Based on this concept and advances in other diseases, the proteins, mRNA, microRNA and lipids in exosomes isolated from biological fluids have been proposed as biomarkers in metabolic disorders. However, several problems with the development of clinically applicable biomarkers have not been resolved. In this review, the biologic functions of exosomes are briefly introduced, and we discuss the technical and practical pros and cons of different methods of exosome isolation for the identification of exosomal biomarkers of metabolic disorders. Standardization of preanalytical variables and isolation of high-purity exosomes from fully characterized biological fluids will be necessary for the identification of useful exosomal biomarkers that can provide insights into the pathogenic mechanisms of complications of metabolic syndrome and of whole-body metabolism.
CSVD: Clustering and Singular Value Decomposition for Approximate Similarity Search in High-Dimensional Spaces

Nearest-neighbor search of high-dimensionality spaces is critical for many applications, such as content-based retrieval from multimedia databases, similarity search of patterns in data mining, and nearest-neighbor classification. Unfortunately, even with the aid of the commonly used indexing schemes, the performance of nearest-neighbor (NN) queries deteriorates rapidly with the number of dimensions. We propose a method, called Clustering with Singular Value Decomposition (CSVD), which supports efficient approximate processing of NN queries, while maintaining good precision-recall characteristics. CSVD groups homogeneous points into clusters and separately reduces the dimensionality of each cluster using SVD. Cluster selection for NN queries relies on a branch-and-bound algorithm and within-cluster searches can be performed with traditional or in-memory indexing methods. Experiments with texture vectors extracted from satellite images show that CSVD achieves significantly higher dimensionality reduction than plain SVD for the same normalized mean squared error (NMSE), which translates into a higher efficiency in processing approximate NN queries.
Analyzing Teachers’ Professional Interactions in a School as Social Capital: A Social Network Approach

Background/Context Researchers have proposed a number of lenses for analyzing teacher professional communities in recent years. These lenses have been useful in describing key dynamics of professional communities; however, none provides a compelling approach to how to integrate data from the school as a whole with case study data on individual interactions to create a coherent account of the structure and dynamics of teacher professional communities. Objective Our objective was to present and illustrate the application of social capital theory for analyzing the role of formal and informal teacher interactions in helping teachers enact changes to instruction associated with ambitious school reforms. Social capital theory posits that valued resources and expertise are embedded within social networks and that it is through social ties that one gains access to and can make use of resources to effect change. The network perspective directs researchers to focus simultaneously on the overall social structure of a school and on the expertise and resources exchanged through interactions among teachers that take place in meetings, staff rooms, hallways, and classrooms. Setting Our illustrations are contrasting cases of teacher communities in two elementary schools in California. In both school communities, the principals were committed to the idea of fostering greater interaction among colleagues as a strategy to improve literacy instruction. Both schools had similar levels of resources to support their goals through external funding from the state, but the schools had had different levels of success in implementing their reforms at the time of the study. Research Design We used an explanatory case study methodology that relied on social network, survey, and interview methods as sources of evidence for several alternative hypotheses relating to how the distribution of resources and expertise may have contributed to these schools’ different levels of success in implementing their reforms. Conclusions/Recommendations The comparative case analysis of the two schools provided evidence that analyzing the internal structure of the school community was necessary to help account for the distribution of access to resources and expertise in these two schools. Moreover, there was some evidence from survey and network data that the distribution of valued resources and expertise was related to the level of change observed in each school.
Comparative Study of Antimicrobial Activity of AgBr and Ag Nanoparticles (NPs)

The diverse mechanism of antimicrobial activity of Ag and AgBr nanoparticles against gram-positive and gram-negative bacteria and also against several strains of candida was explored in this study. The AgBr nanoparticles (NPs) were prepared by simple precipitation of silver nitrate by potassium bromide in the presence of stabilizing polymers. The used polymers (PEG, PVP, PVA, and HEC) influence significantly the size of the prepared AgBr NPs dependently on the mode of interaction of polymer with Ag+ ions. Small NPs (diameter of about 60–70 nm) were formed in the presence of the polymer with low interaction as are PEG and HEC, the polymers which interact with Ag+ strongly produce nearly two times bigger NPs (120–130 nm). The prepared AgBr NPs were transformed to Ag NPs by the reduction using NaBH4. The sizes of the produced Ag NPs followed the same trends – the smallest NPs were produced in the presence of PEG and HEC polymers. Prepared AgBr and Ag NPs dispersions were tested for their biological activity. The obtained results of antimicrobial activity of AgBr and Ag NPs are discussed in terms of possible mechanism of the action of these NPs against tested microbial strains. The AgBr NPs are more effective against gram-negative bacteria and tested yeast strains while Ag NPs show the best antibacterial action against gram-positive bacteria strains.
A New Measurement Method for the Detection of Harmonic Sources in Power Systems Based on the Approach of the IEEE Std. 1459–2000

In this paper, a novel single-point strategy is proposed for the detection of the harmonic sources in power systems. The method is an improvement of a strategy previously proposed by the authors; it is developed from the IEEE Std 1459-2000 approach and it can be entirely implemented in the time domain, thus simplifying the measurement system. The effectiveness of the proposed method is evaluated by introducing simple decision-making rules and by taking the presence of the measurement transducers into account. Several simulations and experimental tests are presented, showing that the enhanced strategy is able to give an useful information on the detection of the dominant harmonic source upstream or downstream the metering section.
The Immaturity of the CMM

A method and a mold for casting high temperature alloys having as an ingredient an element that reacts with the mold and core material and is thereby depleted during alloy solidification. A reservoir which is shaped to minimize depletion of the element is positioned above the article cavity in the mold to supply alloy to the top of the article cavity. As solidification proceeds, the molten alloy in the reservoir serves to enrich the solidifying alloy in the article forming portion of the mold with the depleted reactive ingredient.
12. Soybean constituents and their functional benefits

Soybean [Glycine max (L.)] is in use for more than 5000 years in China and South East Asia as food. Epidemiological studies show its importance in prevention of several diseases. Recently, an upsurge of consumer interest in the health benefits of soybean and soy products is not only due to its high protein (38%) and high oil (18%) content, but also due to the presence of physiologically beneficial phytochemicals. Past several years of clinical and scientific evidences have revealed the medicinal benefits of the soy components against metabolic disorders (cardio-vascular diseases, diabetes and obesity etc.) as well as other chronic diseases (cancer, osteoporosis, menopausal syndrome and aneamia etc.). Many of the health benefits of soy are derived from its secondary metabolites, such as, isoflavones, phyto-sterols, lecithins, saponins etc. In this review we discuss the bioactive components of soybean and their role in prevention, maintenance, and/or curing of diseases.
A comparison of gifted high, moderate, and low achievers in their motivation, self-regulation, motivational goals, goal orientations, and attitudes toward their school and teachers

Underachievement among gifted students is a perplexing phenomenon since there is no universally agreed definitions of underachievement and giftedness in the literature. Statistics have shown that the problem is c o m m o n and serious enough to draw researchers' attention to it. The literature suggested that underachievement might be attributed to a combination of several factors, which include school factors, family factors, peer influence, learning disability, and personality characteristics. Personality factors like motivation and self-regulation were considered important variables in gifted achievement. This study examines the problem of underachievement among gifted high school students. L o w achievers were compared to high and moderate achievers on their motivation, self-regulation, motivational goals, goal orientations, and attitudes toward their school and teachers and class. Participants were all highly able students from grades 10 and 11 in two academically selective high schools, one in A m m a n , Jordan (n=169) and the other in N e w South Wales, Australia (n=197). Teachers were asked to rank the students into high, moderate, and low achievers in terms of their performance in two subjects, Arabic and Mathematics in Jordan and English and Mathematics in Australia. Participants were asked to respond to three surveys that measured their motivation, self-regulation, motivational goals, goal orientations, and attitudes toward their school and teachers: the School Attitude Assessment Survey-R (SAAS), the Inventory of School Motivation Scale -R (ISM) and the Motivated Strategies for Learning Questionnaire (MSLQ-R). The results indicate that motivation, selfregulation, motivational goals, goal orientations, and attitudes differentiated the three groups of achievers. In addition, the results indicated that there was a significant difference between males and females as well as between tenth and eleventh grade students in the variables measured in this study. Further, culture played an important role in affecting the results of both Jordanian and Australian studies.
Moving towards the New International Study Group for Pancreatic Surgery (ISGPS) definitions in pancreaticoduodenectomy: a comparison between the old and new.

BACKGROUND The International Study Group for Pancreatic Surgery (ISGPS) has proposed several definitions for postoperative pancreatic fistula (POPF), delayed gastric emptying (DGE) and post-pancreatectomy haemorrhage (PPH). We assessed the effects of implementing these definitions on predicting outcomes. METHODS A database of 77 patients who underwent pancreaticoduodenectomy between January 2005 and December 2009 was analysed. Morbidities were defined and classified using the ISGPS definitions and recalculated based on the definitions adopted by our institution ('Old' definitions) prior to the implementation of ISGPS definitions. Data for the two groups were then compared. RESULTS The morbidity rate rose to 70.1% from 27.2% when ISGPS rather than Old definitions were used to define morbidities (P < 0.001). Incidences of DGE, POPF and PPH were 20.7%, 39.0% and 10.4%, respectively. Rates of DGE and POPF were significantly higher according to ISGPS definitions than to Old definitions (20.7% vs. 5.2% [P= 0.001] and 39.0% vs. 15.6% [P= 0.004], respectively). According to the ISGPS definitions, all of the 12 additional patients with DGE and 12 of the 18 additional patients with POPF had grade A morbidities. Patients with ISGPS-defined morbidity had a longer intensive care unit (ICU) stay, longer postoperative stay and longer total stay (P= 0.030, P= 0.007 and P= 0.001, respectively). CONCLUSIONS The morbidity rate more than doubled when ISGPS definitions were applied (an additional 42.9% of patients demonstrated morbidities). The majority of patients with DGE and POPF had grade A morbidities. The ISGPS definitions correlate well with ICU stay, postoperative stay and total length of stay.
The Effects of Self-Esteem and Task Perception on Goal Setting, Efficacy, and Task Performance.

ABSTRACT This study examined the effects of self-esteem and task perception on goal setting, efficacy, and task performance in 52 recreational dart throwers who were members of two dart organizations. Task perception was manipulated by asking each dart thrower to compete against self, a difficult competitor, and an easy competitor on the same dart game. Subjects were divided into high and low self-esteem groups using a median split. Results of 2 x 3 (self-esteem x task) analyses of variance ntowed that the efficacy, ability attributions, and task satisfaction of subjects in the low self-esteem group, but not of those in the high self-esteem group, were affected by task perception. These findings support Brockner's (1988) notion that individuals with low self-esteem are more easily influenced by external cues than are individuals with high self-esteem. Subjects in the low self-esteem group had lower goals, efficacy, and task performance than those in the high self-esteem groups. Subjects set high goals and had higher performance in the difficult condition than in the easy condition. (Author/NB)
Contact-Inhibited Chemotaxis in De Novo and Sprouting Blood-Vessel Growth

Blood vessels form either when dispersed endothelial cells (the cells lining the inner walls of fully formed blood vessels) organize into a vessel network (vasculogenesis), or by sprouting or splitting of existing blood vessels (angiogenesis). Although they are closely related biologically, no current model explains both phenomena with a single biophysical mechanism. Most computational models describe sprouting at the level of the blood vessel, ignoring how cell behavior drives branch splitting during sprouting. We present a cell-based, Glazier–Graner–Hogeweg model (also called Cellular Potts Model) simulation of the initial patterning before the vascular cords form lumens, based on plausible behaviors of endothelial cells. The endothelial cells secrete a chemoattractant, which attracts other endothelial cells. As in the classic Keller–Segel model, chemotaxis by itself causes cells to aggregate into isolated clusters. However, including experimentally observed VE-cadherin–mediated contact inhibition of chemotaxis in the simulation causes randomly distributed cells to organize into networks and cell aggregates to sprout, reproducing aspects of both de novo and sprouting blood-vessel growth. We discuss two branching instabilities responsible for our results. Cells at the surfaces of cell clusters attempting to migrate to the centers of the clusters produce a buckling instability. In a model variant that eliminates the surface–normal force, a dissipative mechanism drives sprouting, with the secreted chemical acting both as a chemoattractant and as an inhibitor of pseudopod extension. Both mechanisms would also apply if force transmission through the extracellular matrix rather than chemical signaling mediated cell–cell interactions. The branching instabilities responsible for our results, which result from contact inhibition of chemotaxis, are both generic developmental mechanisms and interesting examples of unusual patterning instabilities.
Impairment of Hepatic Growth Hormone and Glucocorticoid Receptor Signaling Causes Steatosis and Hepatocellular Carcinoma in Mice

Growth hormone (GH)‐activated signal transducer and activator of transcription 5 (STAT5) and the glucocorticoid (GC)‐responsive glucocorticoid receptor (GR) are important signal integrators in the liver during metabolic and physiologic stress. Their deregulation has been implicated in the development of metabolic liver diseases, such as steatosis and progression to fibrosis. Using liver‐specific STAT5 and GR knockout mice, we addressed their role in metabolism and liver cancer onset. STAT5 single and STAT5/GR double mutants developed steatosis, but only double‐mutant mice progressed to liver cancer. Mechanistically, STAT5 deficiency led to the up‐regulation of prolipogenic sterol regulatory element binding protein 1 (SREBP‐1) and peroxisome proliferator activated receptor gamma (PPAR‐γ) signaling. Combined loss of STAT5/GR resulted in GH resistance and hypercortisolism. The combination of both induced expression of adipose tissue lipases, adipose tissue lipid mobilization, and lipid flux to the liver, thereby aggravating STAT5‐dependent steatosis. The metabolic dysfunctions in STAT5/GR compound knockout animals led to the development of hepatic dysplasia at 9 months of age. At 12 months, 35% of STAT5/GR‐deficient livers harbored dysplastic nodules and ∼60% hepatocellular carcinomas (HCCs). HCC development was associated with GH and insulin resistance, enhanced tumor necrosis factor alpha (TNF‐α) expression, high reactive oxygen species levels, and augmented liver and DNA damage parameters. Moreover, activation of the c‐Jun N‐terminal kinase 1 (JNK1) and STAT3 was prominent. Conclusion: Hepatic STAT5/GR signaling is crucial for the maintenance of systemic lipid homeostasis. Impairment of both signaling cascades causes severe metabolic liver disease and promotes spontaneous hepatic tumorigenesis. (HEPATOLOGY 2011;54:1398–1409)