Impact of Quality on Ethics and Social Responsibility in Marketing, in Industries in Kerala in the present Indian Scenario

The paper ‘Impact of Quality on Ethics and Social Responsibility in Marketing in Industries in Kerala in the present Indian scenario’ highlights the observations, based on a descriptive research carried out in five leading industries in Kerala, in the private and public sector. Ethics and social responsibilities, practiced in these industries, are reflected in the results of the survey conducted on specific queries like awareness of products/services provided by them, total understanding of the requirements of the customer, open discussion on technical matters, accountability of employees to the society and social needs, consumer ethics vis a vis business ethics etc. Team working goes a long way, in building relations, which in turn, results in a progressive and effective marketing strategy. This assumes paramount importance, considering the severe competition we are facing in the light of liberalization, privatization and globalization, which encompasses the globe. The prediction of India becoming a lead nation, along with USA, China and Japan, in this decade, can get fructified only if we follow a very high standards of ethics and social responsibility, in all domains including marketing. Organizations like TRW.Rane, Sundaram Fasteners, TVS Motors, in Chennai are a few among others in India, who have achieved the highest distinction in quality viz Deming Prize, and these demonstrate their commitment to quality, society and humanity at large. Cost effectiveness, without jeopardizing quality has become the need of the hour and MRTP has become history. This trait is being brought out through the survey and the results speak for themselves. Unethical practices like switch and bait, not only brings shame to the organization, and country but also results in the company getting wiped out from the market. Adherence to standards like ISO 14000 helps to maintain the minimum level of social responsibility and environmental friendliness. Like quality audit, safety audit etc, social audit is being insisted in all progressive countries to ensure that the organization comply with the minimum statutory requirements. The paper also touches upon Corporate Social Responsibility practiced in the industries and this becomes crystal clear through their commitment to improve the community. Green Marketing lays a lot of importance on the three Rs of environmentalism viz Reduce, Reuse and Recycle. The objective of any business is to achieve optimal profit and this is possible only by reducing the cost as well as waste. In this context, management tools like brainstorming, suggestion schemes, benchmarking etc becomes helpful. These characteristics are brought out through the analysis of survey results. The conclusions drawn throw a lot of information on the desirable practices with respect to Ethics and Social Responsibility in Marketing

A New Gridding Technique for High Density Microarray Images Using Intensity Projection Profile of Best Sub Image

As the technologies for the fabrication of high quality microarray advances rapidly, quantification of microarray data becomes a major task. Gridding is the first step in the analysis of microarray images for locating the subarrays and individual spots within each subarray. For accurate gridding of high-density microarray images, in the presence of contamination and background noise, precise calculation of parameters is essential. This paper presents an accurate fully automatic gridding method for locating suarrays and individual spots using the intensity projection profile of the most suitable subimage. The method is capable of processing the image without any user intervention and does not demand any input parameters as many other commercial and academic packages. According to results obtained, the accuracy of our algorithm is between 95-100% for microarray images with coefficient of variation less than two. Experimental results show that the method is capable of gridding microarray images with irregular spots, varying surface intensity distribution and with more than 50% contamination

Image Denoising Using Sure-Based Adaptive Thresholding In Directionlet Domain

The standard separable two dimensional wavelet transform has achieved a great success in image denoising applications due to its sparse representation of images. However it fails to capture efficiently the anisotropic geometric structures like edges and contours in images as they intersect too many wavelet basis functions and lead to a non-sparse representation. In this paper a novel de-noising scheme based on multi directional and anisotropic wavelet transform called directionlet is presented. The image denoising in wavelet domain has been extended to the directionlet domain to make the image features to concentrate on fewer coefficients so that more effective thresholding is possible. The image is first segmented and the dominant direction of each segment is identified to make a directional map. Then according to the directional map, the directionlet transform is taken along the dominant direction of the selected segment. The decomposed images with directional energy are used for scale dependent subband adaptive optimal threshold computation based on SURE risk. This threshold is then applied to the sub-bands except the LLL subband. The threshold corrected sub-bands with the unprocessed first sub-band (LLL) are given as input to the inverse directionlet algorithm for getting the de-noised image. Experimental results show that the proposed method outperforms the standard wavelet-based denoising methods in terms of numeric and visual quality

Development of Directionally Adaptive Techniques for Single Image Super-Resolution

Super Resolution problem is an inverse problem and refers to the process of producing a High resolution (HR) image, making use of one or more Low Resolution (LR) observations. It includes up sampling the image, thereby, increasing the maximum spatial frequency and removing degradations that arise during the image capture namely aliasing and blurring. The work presented in this thesis is based on learning based single image super-resolution. In learning based super-resolution algorithms, a training set or database of available HR images are used to construct the HR image of an image captured using a LR camera. In the training set, images are stored as patches or coefficients of feature representations like wavelet transform, DCT, etc. Single frame image super-resolution can be used in applications where database of HR images are available. The advantage of this method is that by skilfully creating a database of suitable training images, one can improve the quality of the super-resolved image. A new super resolution method based on wavelet transform is developed and it is better than conventional wavelet transform based methods and standard interpolation methods. Super-resolution techniques based on skewed anisotropic transform called directionlet transform are developed to convert a low resolution image which is of small size into a high resolution image of large size. Super-resolution algorithm not only increases the size, but also reduces the degradations occurred during the process of capturing image. This method outperforms the standard interpolation methods and the wavelet methods, both visually and in terms of SNR values. Artifacts like aliasing and ringing effects are also eliminated in this method. The super-resolution methods are implemented using, both critically sampled and over sampled directionlets. The conventional directionlet transform is computationally complex. Hence lifting scheme is used for implementation of directionlets. The new single image super-resolution method based on lifting scheme reduces computational complexity and thereby reduces computation time. The quality of the super resolved image depends on the type of wavelet basis used. A study is conducted to find the effect of different wavelets on the single image super-resolution method. Finally this new method implemented on grey images is extended to colour images and noisy images

Influence of Frequent Flyer Programme and Airline Service Quality on Re-buy Intentions of Airline Frequent Passengers

The growth potential of service sector, especially the aviation sector in the Indian economy is splendid. Therefore, it is crucial for the airline service providers to realize their customers, design offers and deliver the desired value to their customers. This study reveals the effect of airline passenger satisfactions particularly on re-buy intentions derived from the attributes-level performance dimensions of both service aspects and loyalty programme of an airline. The mediation effect of satisfaction and other selected antecedents on the re-buy intention of a passenger is hypothesized in this study. Critical areas affecting buying intentions such as core service quality and loyalty attribute-level performances, effect of frequent flyer programme and service quality satisfaction, passenger trust on airline, brand image and moderating effects of perceived value, frequent programme status and travel frequency of airline passengers are linked in a structural model to assess the strength of each facet in affecting re-buy intentions. Implications to the airlines were made based on the finding that re-buy intentions cannot be attributed solely to the impacts of frequent flyer programme, rather affected through the mediation effect of airline service quality satisfaction, which is very much valid for the higher FFP status category of frequent travelers. The effects of moderation caused by perceived value, FFP status and flying experience were also found to be significant in making re-buy intentions.

Digital image analysis as a tool to estimate legume contributions in legume-grass swards

Summary: Productivity and forage quality of legume-grass swards are important factors for successful arable farming in both organic and conventional farming systems. For these objectives the botanical composition of the swards is of particular importance, especially, the content of legumes due to their ability to fix airborne nitrogen. As it can vary considerably within a field, a non-destructive detection method while doing other tasks would facilitate a more targeted sward management and could predict the nitrogen supply of the soil for the subsequent crop. This study was undertaken to explore the potential of digital image analysis (DIA) for a non destructive prediction of legume dry matter (DM) contribution of legume-grass mixtures. For this purpose an experiment was conducted in a greenhouse, comprising a sample size of 64 experimental swards such as pure swards of red clover (Trifolium pratense L.), white clover (Trifolium repens L.) and lucerne (Medicago sativa L.) as well as binary mixtures of each legume with perennial ryegrass (Lolium perenne L.). Growth stages ranged from tillering to heading and the proportion of legumes from 0 to 80 %. Based on digital sward images three steps were considered in order to estimate the legume contribution (% of DM): i) The development of a digital image analysis (DIA) procedure in order to estimate legume coverage (% of area). ii) The description of the relationship between legume coverage (% area) and legume contribution (% of DM) derived from digital analysis of legume coverage related to the green area in a digital image. iii) The estimation of the legume DM contribution with the findings of i) and ii). i) In order to evaluate the most suitable approach for the estimation of legume coverage by means of DIA different tools were tested. Morphological operators such as erode and dilate support the differentiation of objects of different shape by shrinking and dilating objects (Soille, 1999). When applied to digital images of legume-grass mixtures thin grass leaves were removed whereas rounder clover leaves were left. After this process legume leaves were identified by threshold segmentation. The segmentation of greyscale images turned out to be not applicable since the segmentation between legumes and bare soil failed. The advanced procedure comprising morphological operators and HSL colour information could determine bare soil areas in young and open swards very accurately. Also legume specific HSL thresholds allowed for precise estimations of legume coverage across a wide range from 11.8 - 72.4 %. Based on this legume specific DIA procedure estimated legume coverage showed good correlations with the measured values across the whole range of sward ages (R2 0.96, SE 4.7 %). A wide range of form parameters (i.e. size, breadth, rectangularity, and circularity of areas) was tested across all sward types, but none did improve prediction accuracy of legume coverage significantly. ii) Using measured reference data of legume coverage and contribution, in a first approach a common relationship based on all three legumes and sward ages of 35, 49 and 63 days was found with R2 0.90. This relationship was improved by a legume-specific approach of only 49- and 63-d old swards (R2 0.94, 0.96 and 0.97 for red clover, white clover, and lucerne, respectively) since differing structural attributes of the legume species influence the relationship between these two parameters. In a second approach biomass was included in the model in order to allow for different structures of swards of different ages. Hence, a model was developed, providing a close look on the relationship between legume coverage in binary legume-ryegrass communities and the legume contribution: At the same level of legume coverage, legume contribution decreased with increased total biomass. This phenomenon may be caused by more non-leguminous biomass covered by legume leaves at high levels of total biomass. Additionally, values of legume contribution and coverage were transformed to the logit-scale in order to avoid problems with heteroscedasticity and negative predictions. The resulting relationships between the measured legume contribution and the calculated legume contribution indicated a high model accuracy for all legume species (R2 0.93, 0.97, 0.98 with SE 4.81, 3.22, 3.07 % of DM for red clover, white clover, and lucerne swards, respectively). The validation of the model by using digital images collected over field grown swards with biomass ranges considering the scope of the model shows, that the model is able to predict legume contribution for most common legume-grass swards (Frame, 1992; Ledgard and Steele, 1992; Loges, 1998). iii) An advanced procedure for the determination of legume DM contribution by DIA is suggested, which comprises the inclusion of morphological operators and HSL colour information in the analysis of images and which applies an advanced function to predict legume DM contribution from legume coverage by considering total sward biomass. Low residuals between measured and calculated values of legume dry matter contribution were found for the separate legume species (R2 0.90, 0.94, 0.93 with SE 5.89, 4.31, 5.52 % of DM for red clover, white clover, and lucerne swards, respectively). The introduced DIA procedure provides a rapid and precise estimation of legume DM contribution for different legume species across a wide range of sward ages. Further research is needed in order to adapt the procedure to field scale, dealing with differing light effects and potentially higher swards. The integration of total biomass into the model for determining legume contribution does not necessarily reduce its applicability in practice as a combined estimation of total biomass and legume coverage by field spectroscopy (Biewer et al. 2009) and DIA, respectively, may allow for an accurate prediction of the legume contribution in legume-grass mixtures.

Quality oriented drying of Lemon Balm (Melissa officinalis L.)

Heilkräuter sind während des Trocknungsprozesses zahlreichen Einflüssen ausgesetzt, welche die Qualität des Endproduktes entscheidend beeinflussen. Diese Forschungsarbeit beschäftigt sich mit der Trocknung von Zitronenmelisse (Melissa officinalis .L) zu einem qualitativ hochwertigen Endprodukt. Es werden Strategien zur Trocknung vorgeschlagen, die experimentelle und mathematische Aspekte mit einbeziehen, um bei einer adäquaten Produktivität die erforderlichen Qualitätsmerkmale im Hinblick auf Farbeänderung und Gehalt an ätherischen Ölen zu erzielen. Getrocknete Zitronenmelisse kann zurzeit, auf Grund verschiedener Probleme beim Trocknungsvorgang, den hohen Qualitätsanforderungen des Marktes nicht immer genügen. Es gibt keine standardisierten Informationen zu den einzelnen und komplexen Trocknungsparametern. In der Praxis beruht die Trocknung auf Erfahrungswerten, bzw. werden Vorgehensweisen bei der Trocknung anderer Pflanzen kopiert, und oftmals ist die Trocknung nicht reproduzierbar, oder beruht auf subjektiven Annäherungen. Als Folge dieser nicht angepassten Wahl der Trocknungsparameter entstehen oftmals Probleme wie eine Übertrocknung, was zu erhöhten Bruchverlusten der Blattmasse führt, oder eine zu geringe Trocknung, was wiederum einen zu hohen Endfeuchtegehalt im Produkt zur Folge hat. Dies wiederum mündet zwangsläufig in einer nicht vertretbaren Farbänderung und einen übermäßigen Verlust an ätherischen Ölen. Auf Grund der unterschiedlichen thermischen und mechanischen Eigenschaften von Blättern und Stängel, ist eine ungleichmäßige Trocknung die Regel. Es wird außerdem eine unnötig lange Trocknungsdauer beobachtet, die zu einem erhöhten Energieverbrauch führt. Das Trocknen in solaren Tunneln Trocknern bringt folgendes Problem mit sich: wegen des ungeregelten Strahlungseinfalles ist es schwierig die Trocknungstemperatur zu regulieren. Ebenso beeinflusst die Strahlung die Farbe des Produktes auf Grund von photochemischen Reaktionen. Zusätzlich erzeugen die hohen Schwankungen der Strahlung, der Temperatur und der Luftfeuchtigkeit instabile Bedingungen für eine gleichmäßige und kontrollierbare Trocknung. In Anbetracht der erwähnten Probleme werden folgende Forschungsschwerpunkte in dieser Arbeit gesetzt: neue Strategien zur Verbesserung der Qualität werden entwickelt, mit dem Ziel die Trocknungszeit und den Energieverbrauch zu verringern. Um eine Methodik vorzuschlagen, die auf optimalen Trocknungsparameter beruht, wurden Temperatur und Luftfeuchtigkeit als Variable in Abhängigkeit der Trocknungszeit, des ätherischer Ölgehaltes, der Farbänderung und der erforderliche Energie betrachtet. Außerdem wurden die genannten Parametern und deren Auswirkungen auf die Qualitätsmerkmale in solaren Tunnel Trocknern analysiert. Um diese Ziele zu erreichen, wurden unterschiedliche Ansätze verfolgt. Die Sorption-Isothermen und die Trocknungskinetik von Zitronenmelisse und deren entsprechende Anpassung an verschiedene mathematische Modelle wurden erarbeitet. Ebenso wurde eine alternative gestaffelte Trocknung in gestufte Schritte vorgenommen, um die Qualität des Endproduktes zu erhöhen und gleichzeitig den Gesamtenergieverbrauch zu senken. Zusätzlich wurde ein statistischer Versuchsplan nach der CCD-Methode (Central Composite Design) und der RSM-Methode (Response Surface Methodology) vorgeschlagen, um die gewünschten Qualitätsmerkmalen und den notwendigen Energieeinsatz in Abhängigkeit von Lufttemperatur und Luftfeuchtigkeit zu erzielen. Anhand der gewonnenen Daten wurden Regressionsmodelle erzeugt, und das Verhalten des Trocknungsverfahrens wurde beschrieben. Schließlich wurde eine statistische DOE-Versuchsplanung (design of experiments) angewandt, um den Einfluss der Parameter auf die zu erzielende Produktqualität in einem solaren Tunnel Trockner zu bewerten. Die Wirkungen der Beschattung, der Lage im Tunnel, des Befüllungsgrades und der Luftgeschwindigkeit auf Trocknungszeit, Farbänderung und dem Gehalt an ätherischem Öl, wurde analysiert. Ebenso wurden entsprechende Regressionsmodelle bei der Anwendung in solaren Tunneltrocknern erarbeitet. Die wesentlichen Ergebnisse werden in Bezug auf optimale Trocknungsparameter in Bezug auf Qualität und Energieverbrauch analysiert.

Organic consumers' attitudes and preferences regarding alternatives to piglet castration without anaesthesia and analgesia in organic farming - an explorative analysis

In Germany and other European countries piglets are routinely castrated in order to avoid the occurrence of boar taint, an off-flavour and off-odour of pork. Sensory perception of boar taint varies; however, it is regarded as very unpleasant by many people. Surgical castration which is an effective means against boar taint has commonly been performed without anaesthesia or analgesia within the piglets’ first seven days of life. Piglet castration without anaesthesia has been heavily criticised, as the assumption that young piglets perceive less pain than older animals cannot be supported by scientific evidence. Consequently, surgical castration is only allowed with anaesthesia and/or analgesia in organic farming throughout the European Union since January 2012. Abandoning piglet castration without pain relief requires the implementation of alternative methods which improve animal welfare while maintaining sensory meat quality. There are three relevant alternatives: castration with anaesthesia and/or analgesia to reduce pain, a vaccination against boar taint (immunocastration) and the fattening of uncastrated male pigs (fattening of boars) combined with measures to reduce and detect boar taint in meat. Consumers’ attitudes and opinions regarding the alternatives are an important factor with regard to the implementation of alternatives, as they are finally supposed to buy the meat. The objective of this dissertation was to explore organic consumers’ attitudes, preferences and willingness-to-pay regarding piglet castration without pain relief and the three alternatives. Important aspects for the evaluation of the alternatives and influencing factors (e.g. information, taste) on preferences and willingness-to-pay should also be identified. In autumn 2009 nine focus group discussions were conducted each followed by a Vickrey auction including a tasting of boar salami. Overall, 89 consumers of organic pork participated in the study. Information on piglet castration and alternatives (in three variants) was provided as a basis for discussion. The focus group data were analysed using qualitative content analysis. In order to compare the focus group results with those from the auctions, an innovative approach applying an adapted scoring model to further analyse the data set was used. The majority of participants were not aware that piglets are castrated without anaesthesia in organic farming. They reacted shocked and disappointed on learning about this practice which did not fit into their image of animal welfare standards in organic farming. Overall, the results show, that for consumers of organic pork castration with anaesthesia and analgesia as well as the fattening of boars may be acceptable alternatives in organic farming. Considering the strong food safety concerns regarding immunocastration, acceptance of this alternative may be questioned. Communication regarding alternatives to piglet castration without anaesthesia and analgesia should take into account that the relevance of the aspects animal welfare, food safety, taste and costs differs between alternatives. Furthermore, it seems advisable not to address an unappetizing topic like piglet castration directly at the point of sale so as not to deter consumers from buying organic pork. The issue of piglet castration demonstrates exemplarily that it is important for the organic sector to implement and maintain high animal welfare standards and communicate them in an appropriate way, thereby trying to prevent strong discrepancies between consumers’ expectations regarding animal husbandry in organic farming and actual conditions. So, disappointment of consumers and a loss of image due to negative reports about animal welfare issues can be avoided.

Managing Quality Properties of Web Service Compositions

Web services from different partners can be combined to applications that realize a more complex business goal. Such applications built as Web service compositions define how interactions between Web services take place in order to implement the business logic. Web service compositions not only have to provide the desired functionality but also have to comply with certain Quality of Service (QoS) levels. Maximizing the users' satisfaction, also reflected as Quality of Experience (QoE), is a primary goal to be achieved in a Service-Oriented Architecture (SOA). Unfortunately, in a dynamic environment like SOA unforeseen situations might appear like services not being available or not responding in the desired time frame. In such situations, appropriate actions need to be triggered in order to avoid the violation of QoS and QoE constraints. In this thesis, proper solutions are developed to manage Web services and Web service compositions with regard to QoS and QoE requirements. The Business Process Rules Language (BPRules) was developed to manage Web service compositions when undesired QoS or QoE values are detected. BPRules provides a rich set of management actions that may be triggered for controlling the service composition and for improving its quality behavior. Regarding the quality properties, BPRules allows to distinguish between the QoS values as they are promised by the service providers, QoE values that were assigned by end-users, the monitored QoS as measured by our BPR framework, and the predicted QoS and QoE values. BPRules facilitates the specification of certain user groups characterized by different context properties and allows triggering a personalized, context-aware service selection tailored for the specified user groups. In a service market where a multitude of services with the same functionality and different quality values are available, the right services need to be selected for realizing the service composition. We developed new and efficient heuristic algorithms that are applied to choose high quality services for the composition. BPRules offers the possibility to integrate multiple service selection algorithms. The selection algorithms are applicable also for non-linear objective functions and constraints. The BPR framework includes new approaches for context-aware service selection and quality property predictions. We consider the location information of users and services as context dimension for the prediction of response time and throughput. The BPR framework combines all new features and contributions to a comprehensive management solution. Furthermore, it facilitates flexible monitoring of QoS properties without having to modify the description of the service composition. We show how the different modules of the BPR framework work together in order to execute the management rules. We evaluate how our selection algorithms outperform a genetic algorithm from related research. The evaluation reveals how context data can be used for a personalized prediction of response time and throughput.

Colour image processing

In the context of the round table the following topics related to image colour processing will be discussed: historical point of view. Studies of Aguilonius, Gerritsen, Newton and Maxwell. CIE standard (Commission International de lpsilaEclaraige). Colour models. RGB, HIS, etc. Colour segmentation based on HSI model. Industrial applications. Summary and discussion. At the end, video images showing the robustness of colour in front of B/W images will be presented

Unsupervised active regions for multiresolution image segmentation

An unsupervised approach to image segmentation which fuses region and boundary information is presented. The proposed approach takes advantage of the combined use of 3 different strategies: the guidance of seed placement, the control of decision criterion, and the boundary refinement. The new algorithm uses the boundary information to initialize a set of active regions which compete for the pixels in order to segment the whole image. The method is implemented on a multiresolution representation which ensures noise robustness as well as computation efficiency. The accuracy of the segmentation results has been proven through an objective comparative evaluation of the method

Improving Clustering Algorithms for Image Segmentation using Contour and Region Information

In image segmentation, clustering algorithms are very popular because they are intuitive and, some of them, easy to implement. For instance, the k-means is one of the most used in the literature, and many authors successfully compare their new proposal with the results achieved by the k-means. However, it is well known that clustering image segmentation has many problems. For instance, the number of regions of the image has to be known a priori, as well as different initial seed placement (initial clusters) could produce different segmentation results. Most of these algorithms could be slightly improved by considering the coordinates of the image as features in the clustering process (to take spatial region information into account). In this paper we propose a significant improvement of clustering algorithms for image segmentation. The method is qualitatively and quantitative evaluated over a set of synthetic and real images, and compared with classical clustering approaches. Results demonstrate the validity of this new approach

Impacto de la auto - percepción de imagen corporal en sujetos con VIH y lipoatrofia facial.

La lipoatrofia facial es uno de los efectos secundarios que con más frecuencia se presenta y afecta la calidad de vida del paciente con VIH que recibe tratamiento antiretroviral. Metodología: Estudio observacional de corte transversal que involucró 126 sujetos, a quienes se aplicó una encuesta semi-estructurada para determinar cómo percibe el paciente que la lipoatrofia facial lo afecta en áreas afectiva, social, laboral y ocupacional; evaluar la percepción de la imagen corporal; caracterizar sociodemográficamente; determinar la prevalencia de lipoatrofia facial y establecer si hay diferencias de percepción de la imagen corporal según la caracterización sociodemográfica. Resultados: La Prevalencia de lipoatrofia facial fue del 57.1%. El grado de satisfacción en cuanto a apariencia física tuvo un promedio de 5.01±2.69. El 88.7% y 80.3% de los pacientes evaluados sintieron tristeza y frustración con su apariencia respectivamente. El 53.5% y el 42.9% informaron menos oportunidades laborales y educativas. La orientación sexual reportada con mayor frecuencia fue homosexualidad. No hubo diferencias estadísticamente significativas entre el grado de satisfacción de apariencia con aspectos sociodemográficos excepto en pacientes que recibieron apoyo psicológico. Conclusión: Primer estudio en el país que evalúa el impacto de la lipoatrofia facial en pacientes con VIH y tratamiento antiretroviral. Aunque la presencia de lipoatrofia facial sobre la cotidianidad no es estadísticamente significativa, si resulta trascendental pues existen porcentajes importantes de emociones y alteraciones psicológicas que afectan directamente a estos sujetos en las áreas afectiva, social, laboral y ocupacional. Se hace necesaria la realización de más estudios que permitan obtener mayor de evidencia.

Factores de riesgo de suicidio en mujeres con cáncer de mama

El cáncer de mama es uno de los diagnósticos oncológicos más frecuentes y con altas tasas de mortalidad en mujeres a nivel mundial, en específico con mayor incidencia en países del este de Europa, Asia y Latinoamérica. Su impacto trasciende el aspecto físico y afectando igualmente el área social y psicológica de estas mujeres, generando estados afectivos disfuncionales (depresión, ansiedad, estrés postraumático, conductas suicidas) que afectan su calidad de vida. La literatura reporta que el suicidio en pacientes con cáncer es 2 veces mayor que en la población general, reconociendo dentro de los grupos vulnerables a los pacientes con cáncer de mama. Objetivo: realizar una revisión de la literatura científica producida entre 2002 – 2012, sobre los factores de riesgo de suicidio en mujeres con cáncer de mama. Método: se revisaron 121 artículos científicos obtenidos en bases de datos especializadas. Resultados: En efecto, estas mujeres tienen factores de riesgo para el suicidio (raza, comorbilidad médica y psiquiátrica, miedo a la recidiva, estadios avanzados de la enfermedad, alteraciones en la imagen corporal, cambios en el rol social y efectos secundarios de los tratamientos oncológicos). Conclusiones: durante el curso de la enfermedad se presentan diversos factores biopsicosociales que pueden conducir a la ideación o a la intención suicida. Por lo anterior, es necesario incorporar en la atención psicológica de las mujeres con cáncer de mama la evaluación y la intervención de la conducta suicida y continuar profundizando en el estudio de este fenómeno cuyos efectos son deletéreos para el bienestar del paciente oncológico.

Factores asociados a recuperación visual deficiente después de cirugía exitosa para desprendimiento de retina regmatógeno

Introducción: Varias características pueden afectar el pronóstico visual después de resolver quirúrgicamente el desprendimiento de retina. Existen características no observables por el ojo humano por si solo pero si por tomografía óptica coherente que se relacionan con la recuperación visual. Objetivo: Describir las características clínicas y topográfica en los periodos pre y postquirúrgico de ojos que ha sufrido DR regmatógeno con compromiso macular y su relación con la calidad de recuperación visual después de una cirugía considerada exitosa desde el punto de vista anatómico. Materiales y métodos: Estudio descriptivo en el que se comparan algunas características en tres periodos perioeperatorios, uno antes y dos después de cirugía (3 y 6 meses) de 24 ojos con DRregmatógeno y compromiso macular intervenidos mediante retinopexia combinada con vitrectomía pars plana. Resultados: La recuperación visual mejor o igual que logMAR 0,397 (20/50) se dió en 41,7% de ojos y 16,7%. alcanzaron agudeza visual logMAR 0,301 (20/40). Cinco ojos no alcanzaron una ganancia de líneas de visión mayor a cinco. El líquido submacular ausente se observó en la mayoría de ojos que recuperaron más de cinco líneas al igual que aquellos con elipsoide conservado. La regularidad del neuroepitelio y el edema en el periodo posquirúrgico no mostraron comportamientos claros respecto a recuperación visual al igual que la altura del desprendimiento y el número de cuadrantes afectados. Una mejor recuperación visual fue más frecuente en aquellos con menos de cinco semanas de desprendimiento de retina. Conclusiones: El retraso menor a cinco semanas en la resolución del desprendimiento de retina, la conservación del elipsoide y la ausencia de líquido submacular en el periodo postquirúrgico se observó más frecuentemente en ojos con mejor recuperación visual.