Knowledge spillover in Indian automobile industry : the process and the coverage

In India, as the production of passenger cars increased, many local small and medium enterprises (SMEs) entered the parts and components manufacturing sector. The sources of knowledge for large enterprises and SMEs are different. Naturally, spillover effects among large enterprises and between large enterprises and SMEs are different. This paper focuses on knowledge spillover among large enterprises and from large enterprises to SMEs. Subcontractor can absorb relation-specific skills through repeated interaction with parent company. The results of field survey emphasizes that relation-specific skills are a determinant factor of spillover effects from assemblers and large auto component manufacturers to SMEs. Econometric analysis shows that spillover effects among medium and large automobile units and from medium and large automobile units to small units went beyond boundary of cluster.

Cup Anemometer's loss of performance due to ageing process, and its effect on Annual energy Production (AEP) estimates

The deviation of calibration coefficients from five cup anemometer models over time was analyzed. The analysis was based on a series of laboratory calibrations between January 2001 and August 2010. The analysis was performed on two different groups of anemometers: (1) anemometers not used for any industrial purpose (that is, just stored); and (2) anemometers used in different industrial applications (mainly in the field—or outside—applications like wind farms). Results indicate a loss of performance of the studied anemometers over time. In the case of the unused anemometers the degradation shows a clear pattern. In the case of the anemometers used in the field, the data analyzed also suggest a loss of performance, yet the degradation does not show a clear trend. A recalibration schedule is proposed based on the observed performances variations

Basketball retirement: process and outcomes

Retirement from a sport career represents a turning point in the life of a sportsman. The aim of this study was to determine how the process of withdrawal of professional basketball players and the factors that influence it. Using a qualitative methodology, semi-structured interviews were conducted with 6 professional players focusing on their experiences during the process. Analysis of the interviews revealed the need to treat this process from a multidimensional perspective, as several factors interact. The results obtained show that the players assign great importance to the economic, academic and adjustment difficulties. Consequently, we discuss the need for specific assistance programs for these athletes, regardless of their previous professional level.

Crystal structure of the catalytic domain of Pseudomonas exotoxin A complexed with a nicotinamide adenine dinucleotide analog: implications for the activation process and for ADP ribosylation.

The catalytic, or third domain of Pseudomonas exotoxin A (PEIII) catalyzes the transfer of ADP ribose from nicotinamide adenine dinucleotide (NAD) to elongation factor-2 in eukaryotic cells, inhibiting protein synthesis. We have determined the structure of PEIII crystallized in the presence of NAD to define the site of binding and mechanism of activation. However, NAD undergoes a slow hydrolysis and the crystal structure revealed only the hydrolysis products, AMP and nicotinamide, bound to the enzyme. To better define the site of NAD binding, we have now crystallized PEIII in the presence of a less hydrolyzable NAD analog, beta-methylene-thiazole-4-carboxamide adenine dinucleotide (beta-TAD), and refined the complex structure at 2.3 angstroms resolution. There are two independent molecules of PEIII in the crystal, and the conformations of beta-TAD show some differences in the two binding sites. The beta-TAD attached to molecule 2 appears to have been hydrolyzed between the pyrophosphate and the nicotinamide ribose. However molecule 1 binds to an intact beta-TAD and has no crystal packing contacts in the vicinity of the binding site, so that the observed conformation and interaction with the PEIII most likely resembles that of NAD bound to PEIII in solution. We have compared this complex with the catalytic domains of diphtheria toxin, heat labile enterotoxin, and pertussis toxin, all three of which it closely resembles.

Dopamine signaling is essential in cognitive process and motor performance

La dopamina es uno de los principales neurotransmisores del sistema nervioso central y desempeña un papel esencial en diferentes funciones: neuroendocrinas, motivacionales/emocionales y, especialmente, motoras y cognitivas. Las funciones de la dopamina están media-das en gran medida por la estimulación de sus principales receptores D1 (D1R) y D2 (D2R). En esta tesis hemos estudiado el papel que ambos receptores desempeñan en los procesos de apren-dizaje y memoria, así como la regulación que ejercen sobre las neuronas estriatales TH-immunoreactivas (TH-ir) y su posible implicación en la respuesta motora. Para abordar este proyecto hemos utilizado ratones knock-out para el receptor D1 (Drd1a-/-) y D2 (Drd2-/-) ya que no existen compuestos farmacológicos capaces de diferenciar eficazmente entre receptores dopaminérgicos de la misma familia. Además, para el estudio de las neuronas TH-ir realizamos lesiones con 6-OHDA a ratones que posteriormente recibieron un tratamiento crónico con L-DOPA, siendo este el mecanismo más eficaz para inducir la expresión de las neuronas TH-ir objeto de nuestro estudio. Para completar todo ello realizamos test conductuales que evalúan respuesta motora, como el test del cilindro, y diferentes tipos de aprendizaje y me-moria para los cuales utilizamos test específicos. Entre estos test se encuentran: los laberintos de Barnes y Morris para memoria espacial, evitación activa/pasiva y condicionamiento del mie-do para el aprendizaje asociativo, y el reconocimiento de objetos para la memoria de reconoci-miento...

Infrared microspectroscopy of inflammatory process and colon tumors.

According to the last global burden of disease published by the World Health Organization, tumors were the third leading cause of death worldwide in 2004. Among the different types of tumors, colorectal cancer ranks as the fourth most lethal. To date, tumor diagnosis is based mainly on the identification of morphological changes in tissues. Considering that these changes appears after many biochemical reactions, the development of vibrational techniques may contribute to the early detection of tumors, since they are able to detect such reactions. The present study aimed to develop a methodology based on infrared microspectroscopy to characterize colon samples, providing complementary information to the pathologist and facilitating the early diagnosis of tumors. The study groups were composed by human colon samples obtained from paraffin-embedded biopsies. The groups are divided in normal (n=20), inflammation (n=17) and tumor (n=18). Two adjacent slices were acquired from each block. The first one was subjected to chemical dewaxing and H&E staining. The infrared imaging was performed on the second slice, which was not dewaxed or stained. A computational preprocessing methodology was employed to identify the paraffin in the images and to perform spectral baseline correction. Such methodology was adapted to include two types of spectral quality control. Afterwards the preprocessing step, spectra belonging to the same image were analyzed and grouped according to their biochemical similarities. One pathologist associated each obtained group with some histological structure based on the H&E stained slice. Such analysis highlighted the biochemical differences between the three studied groups. Results showed that severe inflammation presents biochemical features similar to the tumors ones, indicating that tumors can develop from inflammatory process. A spectral database was constructed containing the biochemical information identified in the previous step. Spectra obtained from new samples were confronted with the database information, leading to their classification into one of the three groups: normal, inflammation or tumor. Internal and external validation were performed based on the classification sensitivity, specificity and accuracy. Comparison between the classification results and H&E stained sections revealed some discrepancies. Some regions histologically normal were identified as inflammation by the classification algorithm. Similarly, some regions presenting inflammatory lesions in the stained section were classified into the tumor group. Such differences were considered as misclassification, but they may actually evidence that biochemical changes are in course in the analyzed sample. In the latter case, the method developed throughout this thesis would have proved able to identify early stages of inflammatory and tumor lesions. It is necessary to perform additional experiments to elucidate this discrepancy between the classification results and the morphological features. One solution would be the use of immunohistochemistry techniques with specific markers for tumor and inflammation. Another option includes the recovering of the medical records of patients who participated in this study in order to check, in later times to the biopsy collection, whether they actually developed the lesions supposedly detected in this research.

Transgender Group Therapy: Process and Issues with Male to Female Clients

Transgender issues are garnering more attention within the mental health field. With the increased social awareness of transgender issues, the mental health field is recognizing the need for effective psychological services for this population. Transgender individuals face unique challenges related to gender non-conformity, the coming-out and transitioning processes, and in society at large, all of which can lead to a number mental health concerns. Group therapy is a promising treatment modality for transgender individuals. The purpose of this paper is to offer a rationale for the effectiveness of group therapy, and recommendations for best practices utilizing the current literature and my experience with facilitating a Male to Female transgender therapy group.

A combined probabilistic framework for learning gestures and actions

In this paper we introduce a probabilistic approach to support visual supervision and gesture recognition. Task knowledge is both of geometric and visual nature and it is encoded in parametric eigenspaces. Learning processes for compute modal subspaces (eigenspaces) are the core of tracking and recognition of gestures and tasks. We describe the overall architecture of the system and detail learning processes and gesture design. Finally we show experimental results of tracking and recognition in block-world like assembling tasks and in general human gestures.