Miracle-dz/UniFAR-FTUs huggingface dataset:
The five dysfunctions of a team: lima disfungsi suatu tim: sebuh kisah kepemimpinan / Patrick Lencioni

Introduction. The Fable. Luck. Part One: Underachievement. Part Two: Lighting the Fire. Part Three: Heavy Lifting. Part Four: Traction. The Model. An Overview of the Model. Team Assessment. Understanding and Overcoming the Five Dysfunctions. A Note About Time: Kathryn's Methods. A Special Tribute to Teamwork. Acknowledgments. About the Author.
Learning Subclass Representations for Visually-varied Image Classification

In this paper, we present a subclass-representation approach that predicts the probability of a social image belonging to one particular class. We explore the co-occurrence of user-contributed tags to find subclasses with a strong connection to the top level class. We then project each image on to the resulting subclass space to generate a subclass representation for the image. The novelty of the approach is that subclass representations make use of not only the content of the photos themselves, but also information on the co-occurrence of their tags, which determines membership in both subclasses and top-level classes. The novelty is also that the images are classified into smaller classes, which have a chance of being more visually stable and easier to model. These subclasses are used as a latent space and images are represented in this space by their probability of relatedness to all of the subclasses. In contrast to approaches directly modeling each top-level class based on the image content, the proposed method can exploit more information for visually diverse classes. The approach is evaluated on a set of $2$ million photos with 10 classes, released by the Multimedia 2013 Yahoo! Large-scale Flickr-tag Image Classification Grand Challenge. Experiments show that the proposed system delivers sound performance for visually diverse classes compared with methods that directly model top classes.
3D reconstruction of natural scenes with view-adaptive multi-texturing

We present a 3D reconstruction and modeling system that operates on a number of input photographs that show a natural scene. Approaches from computer graphics and image processing are combined and performance is shown via experiments. Furthermore, reconstruction quality is analyzed w.r. t. the number and distribution of textures, used for reconstruction. The reconstruction pipeline starts with image acquisition, which consists of a number of photographs of the scene that are sequentially taken at different positions. Since the photographs are not acquired concurrently, they are influenced by different illumination conditions that we mandate to be preserved in the final 3D representation. In the second step, object segmentation is applied and camera calibration provided. This allows the application of shape-from-silhouette approaches, namely a hierarchical voxel approach, where different resolution layers are organized within an octree structure. For applying texture mapping, the voxel model is transformed into a wireframe, which provides smoothing of the object's surface and also reduces the number of surface primitives. Finally, a subset of original images is mapped onto the 3D geometry to provide texture information. Here, view-adaptive multi-texturing is used to preserve natural illumination. Intermediate views are interpolated automatically using adaptive real-time weight calculations for original textures.
Controlling and monitoring agile software development in three dutch product software companies

Agile software development governance depends on successful monitoring and control mechanisms. Software development managers generally are unaware of the complete set of monitoring and control mechanisms that are available to them, leading to uninformed decisions with unsuccessful outcomes. This paper presents a list of key process indicators and a list of interventions that software development managers require for successful governance of agile development processes. The list is based on three case studies of product software companies that have successfully developed and sold software for several decades.
An Automated Framework for Recommending Program Elements to Novices (N)

Novice programmers often learn programming by implementing well-known algorithms. There are several challenges in the process. Recommendation systems in software currently focus on programmer productivity and ease of development. Teaching aides for such novice programmers based on recommendation systems still remain an under-explored area. In this paper, we present a general framework for recognizing the desired target for partially-written code and recommending a reliable series of edits to transform the input program into the target solution. Our code analysis is based on graph matching and tree edit algorithms. Our experimental results show that efficient graph comparison techniques can accurately match two portions of source code and produce an accurate set of source code edits. We provide details on implementation of our framework, which is developed as a plugin for Java in Eclipse IDE.
A bio-inspired hybrid algorithm for effective load balancing in cloud computing

Effective scheduling and load balancing are the key challenges of cloud computing technology. A prominent task scheduler must be adaptable to the dynamic distributed environment and to the job scheduling policy based upon the workload. In this research, a novel hybrid algorithm is developed for balancing the load among cloud nodes by hybridising the existing ant colony optimisation (ACO) algorithm and priority-based artificial bee colony (ABC) algorithm where ACO is used for balancing the workload and ABC is used to optimise the resource scheduling from the prospect of cloud computing systems. The proposed technique is tested to show that proposed approach minimise the average response time, average data centre processing time and total processing cost to serve the user requests.
Practical aspects of realisation of negative charge pumps

A charge pump is DC/DC converter that produces a higher output voltage than power supply or generates a negative output voltage. Some variants of charge pumps work as voltage regulator, too. A charge pump is realised by capacitors, transistors and/or diodes. Therefore, some charge pumps are integrated directly to the systems that use these charge pumps. E.g. Flash or EEPROM memories are supplied from standard voltage about 3 V, but write and erase processes use a greater voltage about 12 V. This paper is concentrated on comparison of standard variant of negative charge pump with a new design. Thus, the output voltage, rise time and other parameters of these negative charge pumps are compared by simulation executed by LTspice XVII. The simulated results are verified by practical realization of charge pumps in discrete form.
Biological variation of high sensitivity cardiac troponin-T in stable dialysis patients: implications for clinical practice

We read with great interest Fahim et al.’s paper on biological variation of high-sensitivity troponin in stable haemodialysis patients [1]. In keeping with other studies, the authors demonstrated a low index of individuality in stable haemodialysis patients and conclude that troponin results are best interpreted using serial measurements in this group of patients [2, 3]. However, a number of factors that may impact the clinical care of haemodialysis patients who have a high cardiovascular morbidity and mortality were not addressed. The range in troponin concentrations in the study from 8 ng/L to 241 ng/L may result in overestimation or underestimation of the imprecision of troponin at different concentrations as its imprecision varies across different concentrations. This means that the computed assay imprecision may not be representative at different troponin concentrations. This is a complex issue that may have implications on the application of biological variation indices in clinical practice. The biological variation indices were computed using pre-dialysis blood samples. We know that troponin concentration may vary in relation to dialysis with reduction during haemodialysis and a gradual increase prior to the next dialysis episode [4]. There is the possibility of myocardial stunning during dialysis which may increase troponin concentrations [5]. Since coronary events may occur at any time in relation to dialysis. The application of this data may be challenging. While we agree that troponin results in stable haemodialysis patients are best interpreted using serial measurements rather than using single readings, further guidance in relation to frequency of measurement of troponin and what constitutes significant change in this group is required.
Empirical Analysis of the Impact of Virtuality on Flexibility of Virtual Teams in Software Development Projects

Virtual teams are predicted by many to be the form that is much more flexible than traditional teams. In this paper we execute empirical analysis of the theoretical framework presented earlier. Data was collected through an online survey of the Information Systems specific interest group of Project Management Institute, and executive students at IIM Bangalore. Arguing flexibility to be a formative construct, the data was analyzed using PLS. It was found that virtuality positively and significantly affects flexibility, moderated by technology infrastructure, and team experience.
Drosophila Inducer of MEiosis 4 (IME4) is required for Notch signaling during oogenesis

N6-methyladenosine is a nonediting RNA modification found in mRNA of all eukaryotes, from yeast to humans. Although the functional significance of N6-methyladenosine is unknown, the Inducer of MEiosis 4 (IME4) gene of Saccharomyces cerevisiae, which encodes the enzyme that catalyzes this modification, is required for gametogenesis. Here we find that the Drosophila IME4 homolog, Dm ime4, is expressed in ovaries and testes, indicating an evolutionarily conserved function for this enzyme in gametogenesis. In contrast to yeast, but as in Arabidopsis, Dm ime4 is essential for viability. Lethality is rescued fully by a wild-type transgenic copy of Dm ime4 but not by introducing mutations shown to abrogate the catalytic activity of yeast Ime4, indicating functional conservation of the catalytic domain. The phenotypes of hypomorphic alleles of Dm ime4 that allow recovery of viable adults reveal critical functions for this gene in oogenesis. Ovarioles from Dm ime4 mutants have fused egg chambers with follicle-cell defects similar to those observed when Notch signaling is defective. Indeed, using a reporter for Notch activation, we find markedly reduced levels of Notch signaling in follicle cells of Dm ime4 mutants. This phenotype of Dm ime4 mutants is rescued by inducing expression of a constitutively activated form of Notch. Our study reveals the function of IME4 in a metazoan. In yeast, this enzyme is responsible for a crucial developmental decision, whereas in Drosophila it appears to target the conserved Notch signaling pathway, which regulates many vital aspects of metazoan development.
Mechanical properties of trabecular bone by a non-destructive compression testing approach.

In order to optimize non-destructive mechanical testing of trabecular bone specimens, different techniques were analysed, and correlations were established between properties derived from such non-destructive testings and those derived from destructive testing. Non-destructive testing to a fixed percentage of predicted ultimate stress was hampered by inaccuracy of this prediction. Simulation of non-destructive testing conducted to the linear' part of the compression curve using a drop of the increase of the stiffness (slope of the compression curve) below a certain value as stop criterion revealed strong correlations (r: 0.97–0.99) between the stiffness at the stop point and modulus of elasticity derived from destructive testing. However, trabecular damage will probably occur during such testing because high strain values were obtained. Testing to a fixed strain (0.6 per cent) also revealed strong correlation between the stiffness at the 0.6 per cent strain level and modulus of elasticity (r = 0.96) deriv.
ELM based imputation-boosted proactive recommender systems

Proactive recommender systems are intelligent systems that provide (i.e. push) pertinent recommendations to the users based on their current tasks or interests. The recommendation algorithms employed in these systems usually compute similarity score or build up a model offline using training data for producing online recommendations. As training in proactive recommender systems when the availability of items changes often and rapidly is very time consuming, existing recommendation algorithms are less effective in such application domains. To address this problem, we present a proactive recommender system that generates real time recommendations using the proposed Extreme Learning Machine based Imputation-Boosted Collaborative Filtering (ELMICF) algorithm. Extreme Learning Machine (ELM) is a machine learning algorithm which considerably reduces the time required for training the system due to the very fast learning process of ELM. It has been used in literature for numerous classification, generalization and prediction applications. ELMICF first employs an imputation technique to handle data sparseness in the input rating matrix and then uses the ELM as a classifier to predict the novel ratings. A prototype of the system has been implemented for restaurant recommendations to show the feasibility of our proposed approach. The performance of ELMICF is compared with MLP/ANN and naïve based classification techniques using normalized Discounted Cumulative Gain (nDCG), average precision, training time and mean prediction time metrics.
Mitochondrial Reactive Oxygen Species Generation and Calcium Increase Induced by Visible Light in Astrocytes

Abstract: Mitochondria contain photosensitive chromophores that can be activated or inhibited by light in the visible range. Rather than utilizing light energy, however, mitochondrial electron transport oxidation‐reduction reaction and energy coupling could be stimulated or damaged by visible light. Our previous work demonstrated that reactive oxygen species (ROS) were generated in cultured astrocytes after visible laser irradiation. With confocal fluorescence microscopy, we found that ROS were generated mostly from mitochondria. This mitochondrial ROS (mROS) formation plays a critical role in photoirradiation‐induced phototoxicity and apoptosis. In this study, we measured changes of mitochondrial calcium level ([Ca2+]m) in cultured astrocytes (RBA‐1 cell line) irradiated with blue light and examined the association between mROS formation and [Ca2+]m level changes. Changes of intracellular ROS and [Ca2+]m were visualized using fluorescent probes 2′,7′‐dichlorodihydrofluorescein (DCF), and rhod‐2 After exposure to visible light irradiation, RBA‐1 astrocytes showed a rapid increase in ROS accumulation particularly in the mitochondrial area. Increase in [Ca2+]m was also induced by photoirradiation. The levels of increase in DCF fluorescence intensity varied among different astrocytes. Some of the cells generated much higher levels of ROS than others. For those cells that had high ROS levels, mitochondrial Ca2+ levels were also high. In cells that had mild ROS levels, mitochondrial Ca2+ levels were only slightly increased. The rate of increase in DCF fluorescence seemed to be close to the rate of rhod‐2 fluorescence increase. There is a positive and close correlation between mitochondrial ROS levels and mitochondrial Ca2+ levels in astrocytes irradiated by visible light.
Combined color and texture tracking for video post-editing

Tracking a human head in a complicated scene with changing object pose, illumination conditions, and many occluding objects, is the subject of this paper. We present a general tracking algorithm, which uses a combination of object color statistics and object texture features with motion estimation. The object is defined by an ellipse window that is initially selected by the user. Color statistics are obtained by calculating object color histogram in the YCrCb space, with more resolution reserved for chroma components. In addition to the conventional discrete color histogram, a novel method, uniform fuzzy color histogram (UFCH) is proposed. The object texture is represented by lower frequency components of the objectpsilas discrete cosine transform (DCT), and local binary patterns (LBP). By using the tracker, performances of different features and their combinations are tested. The tracking procedure is based on constant velocity motion estimation by condensation particle filter, in which the sample set is obtained by the translation of the object window. Histogram comparison is based on Bhattacharyya coefficient, and DCT comparison is calculated by sum of squared differences (SSD). Similarity measures are joined by combining their independent likelihoods. As the combined tracker follows different features of the same object, it is an improvement over a tracker that makes use of only color statistics or texture information. The algorithm is tested and optimized on the specific application of embedding interactive object information to movies.
Photosynthetic Action Spectra of Trees: II. The Relationship of Cuticle Structure to the Visible and Ultraviolet Spectral Properties of Needles from Four Coniferous Species.

The relative reflectance spectra for control and treated (surface wiped) current-year foliage of Douglas fir, and Sitka, Colorado, and Blue spruce (Pseudotsuga menziesii [Mirb.] Franco, Picea sitchensis [Bong.] Carr., Picea pungens Engelm., and Picea pungens Engelm. var. hoopsii, respectively) were obtained from 220 to 700 nm. The green color of the control foliage of both Douglas fir and Sitka spruce was unaffected by the treatment whereas the blue-green and blue-white foliage of control Colorado and Blue spruce, respectively, became "green" as a result of the wiping. The relative reflectance curves for all green foliage, including the treated Colorado and Blue spruce, were all very similar with a peak in the green (540-560 nm), minima in the red (660-680 nm) and blue (450-500 nm), and very low reflectivities in the ultraviolet (lambda < 400 nm). In contrast, the control foliage for Colorado and Blue spruce both showed a generally higher relative reflectance over most of the visible spectrum (400-700 nm) with a marked increase in the blue region (400-500 nm). At wavelengths below 420 nm, their relative reflectances increased sharply with decreasing wavelength, the reflectance at 220 nm for Blue spruce being over four times that at 540 nm.Scanning electron microscope examination of the needles' surfaces revealed a system of wax filaments whose complexity correlated with the degree of ultraviolet and blue reflectance.It is concluded that both the bluish appearance (glaucous bloom) and the low relative efficiencies of blue light in photosynthesis of Colorado and Blue spruce result from the selectively enhanced reflection of blue light caused by the presence of the epicuticular wax deposits. The enhanced blue light reflection was shown to be the shoulder of a scattering effect which appeared to peak in the short ultraviolet region below 200 nm. The ecological implications of the results are discussed.
The Decision Maker Matters: Individual Versus Group Behaviour in Experimental Beauty-Contest Games

Economics has devoted little attention to whether the type of decision maker matters for economic decisions. However, many important decisions like those on monetary policy or a company's business strategy are made by (small) groups rather than an individual. We compare behaviour of individuals and small groups in an experimental beauty-contest game. Our findings suggest that groups are not smarter decision makers per se but that they learn faster than individuals. When individuals compete against groups, the latter significantly outperform the former in terms of payoff.
An effective approach to entity resolution problem using quasi-clique and its application to digital libraries

We study how to resolve entities that contain a group of related elements in them (e.g., an author entity with a list of citations or an intermediate result by GROUP BY SQL query). Such entities, named as grouped-entities, frequently occur in many applications. By exploiting contextual information mined from the group of elements per entity in addition to syntactic similarity, we show that our approach, Quasi-Clique, improves precision and recall unto 91% when used together with a variety of existing entity resolution solutions, but never worsens them
Concomitant regulation of host tissue-destroying virulence factors and carbohydrate metabolism during invasive diseases induced by group g streptococci.

BACKGROUND Streptococcus dysgalactiae subsp. equisimilis (SDSE) has Lancefield group G or C antigens. Recent epidemiological studies reveal that invasive SDSE infections have been increasing in Asia, Europe, and the United States. The mechanisms and key virulence factors by which SDSE causes invasive diseases are poorly understood. METHODS We analyzed the SDSE transcriptome in vivo during intraperitoneal infection in mice. We also compared the abundance of streptolysin S (SLS) and streptolysin O (SLO) production between clinically dominant stG6792 strains and other clinical isolates. RESULTS Microarray data suggest that SDSE degraded host tissue polysaccharides by secreting poly/oligosaccharide lyases and simultaneously used the Entner-Doudoroff pathway to metabolize acquired carbohydrates. A global negative virulence gene regulator CsrRS of SDSE modulated the expression of genes encoding SLS and enzymes that metabolize carbohydrates. Moreover, a csrS-deficient mutant induced severe systemic hemolysis in mice. The most frequently isolated stG6792 strains secreted abundant SLS and SLO rather than other SDSE emm types, indicating the potential relationship between production of SLS and SLO and poor outcomes. CONCLUSIONS Our findings suggest that the concomitant regulation of virulence factors that destroy host tissues and metabolic enzymes might play an important role in invasive diseases induced by SDSE.
Comparison of Three Video-Based Instructional Procedures for Teaching Daily Living Skills to Persons with Developmental Disabilities.

Waubonsie Valley Community High School Abstract: This study compared the effectiveness of three different video-based instructional sequences, all used in conjunction with the system of least prompts, for teaching three different daily living skills to three young adults with developmental disabilities. The video-based instructional sequences (i.e., video rehearsal, video rehearsal plus photos, and video-rehearsal plus in-vivo video prompting) were evaluated using an adapted alternating treatments design. Results indicated that all of the procedures were effective in increasing independent responding from baseline levels for all participants with the video-rehearsal plus in vivo prompting (Video/In- vivo) and video rehearsal plus photo (Video/Photo) conditions being more efficient in terms of sessions to reach criterion. Two of the three participants engaged in more independent correct responding when they were taught skills with the Video/In-vivo condition, while the other participant engaged in more independent responding on the target skill when the Video/Photo condition was the instructional procedure. In addition, the skills generalized to untrained settings.