258 research outputs found

    Renal Transplantation and Pregnancy

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    Introduction: Although pregnancy after kidney transplantation is feasible, complications are relatively common and this needs to be considered in patient counseling and clinical decision making.Review: Fertility generally returns after renal transplantation. Approximately 74% of pregnancies in kidney transplant recipients end successfully in life births. Published reports suggest that pregnancy has no adverse affects on graft survival although patients with higher pre-pregnancy serum creatinine have a trend toward increased post-pregnancy serum creatinine. There is, however, a significantly increased risk of preeclampsia, gestational diabetes, cesarean section and preterm delivery compared to the general population. Almost half life births are preterm, and low birth weight is very common. Immunosuppressive medications are required to be continued during pregnancy in transplant recipients to prevent graft rejection, except for  sirolimus and mycophenolate mofetil (MMF) which are contraindicated during pregnancy. The incidence of birth defects in the live born is similar to the general population, except for pregnancies exposed to MMF which have a high incidence of birth defects. Every female in the reproductive age group should be counseled regarding pregnancy including the potential risks to the graft, to the mother and to the child. Timing pregnancy should be based upon whether graft function is optimal, but the general recommendation is to wait one year post transplantation before conception.Conclusion: Pregnancy in renal transplant patients should be planned with combined care from surgeons, nephrologists, obstetricians, pediatricians and dietitians which offers the best chance of a favorable outcome in the mother and the fetus

    Women construction workers in Nepal: collectivities under precarious conditions

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    In this article we explore the experiences of women construction workers in Nepal, and the strategies that these workers have adopted to challenge the exploitation and inequalities they confront. We firstly argue that the experiences of women construction workers in Nepal are shaped by compulsive engagement in labour markets under conditions of informality, precarity and gendered responsibility for social reproduction. These experiences reflect multiple intersections of gender, class, caste and ethnicity in the arenas of the household, the workplace, trade unions and the state. However, policy interventions relating to women’s participation in labour markets and inspired by the Gender Equality as Smart Economics approach, such as Nepal’s post-earthquake mason training scheme targeting women construction workers, render invisible these structures of inequality, exploitation and violence. Secondly, we argue that women construction workers negotiate – and in some cases challenge and change – working conditions, primarily through a variety of informal and formal collective strategies. Women construction workers’ own narratives and practices, we find, bear little resemblance to the narratives promoted by the international financial institutions (IFIs) and the state, in which women workers appear as resilient, altruistic and industrious entrepreneurial subjects seeking individual self-improvement within the neoliberal framework. They rather invoke informal and organised collectivities, negotiate and often resist gendered norms of behaviour and at times radically re-envision the scope of trade union struggles

    Geometry-based localization for GPS outage in vehicular cyber physical systems

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    Vehicular localization has witnessed significant attention due to the growing number of location-based services in vehicular cyber physical systems (VCPS). In vehicular localization, GPS outage is a challenging issue considering the growing urbanization including high rise buildings, multilevel flyovers and bridges. GPS-free and GPS-assisted cooperative localization techniques have been suggested in the literature for GPS outage. Due to the cost of infrastructure in GPS-free techniques, and the absence of location aware neighbors in cooperative techniques, efficient and scalable localization is a challenging task in VCPS. In this context, this paper proposes a geometry-based localization for GPS outage in VCPS (GeoLV). It is a GPS-assisted localization which reduces location-aware neighbor constraint of cooperative localization. GeoLV utilizes mathematical geometry to estimate vehicle location focusing on vehicular dynamics and road trajectory. The static and dynamic relocations are performed to reduce the impact of GPS outage on location-based services. A case study based comparative performance evaluation has been carried out to assess the efficiency and scalability of GeoLV. It is evident from the results that GeoLV handles both shorter and longer GPS outage problem better than the state-of-the-art techniques in VCPS

    Interference-aware multipath video streaming in vehicular environments

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    The multipath transmission is one of the suitable transmission methods for high data rate oriented communication such as video streaming. Each video packets are split into smaller frames for parallel transmission via different paths. One path may interfere with another path due to these parallel transmissions. The multipath oriented interference is due to the route coupling which is one of the major challenges in vehicular traffic environments. The route coupling increases channel contention resulting in video packet collision. In this context, this paper proposes an Interference-aware Multipath Video Streaming (I-MVS) framework focusing on link and node disjoint optimal paths. Specifically, a multipath vehicular network model is derived. The model is utilized to develop interference-aware video streaming method considering angular driving statistics of vehicles. The quality of video streaming links is measured based on packet error rate considering non-circular transmission range oriented shadowing effects. Algorithms are developed as a complete operational I-MVS framework. The comparative performance evaluation attests the benefit of the proposed framework considering various video streaming related metrics

    Smart wearable biosensor for non-invasive real time detection of sweat lactate using compression garments.

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    Over the past decade, there had been a surge in the use of wearable sensors to monitor health specially to determine the individual’s fitness level. It has been reported that lactic acid is a significant biomarker of anaerobic metabolism and higher concentrations of lactate in sweat can cause Ischemia and lead to hypoxia. Although, there had been an increase in the use of smart wearables such as heart rate, blood pressure, skin pH, and so forth, very little had been reported on the use of body fluids such as sweat. Therefore, a non-invasive monitoring of blood lactate becomes essential in determining individual’s health and fitness. In this research, the development, characterization and optimization of an electrochemical-based amperometric lactate biosensor screen-printed on to a knitted fabric is reported. The prototype screen-printed fabric lactate biosensor is composed of three electrodes that senses lactate concentration from the body sweat collected. A highly sensitive and stable lactate sensor based on PEDOT: PSS/PVA has been developed. The research will use wearer trials wearing prototype compression garments and measurements such as blood lactate, sweat rate, and garment performance in the subsequent stages of the research. The information obtained from this study will inform the design and development of compression garments that enhances blood flow, increases oxygen delivery to the muscles, and reduces the blood lactate concentration. The wearable device will also enable athletes to monitor their real time lactate concentration and pace their activity

    Effect of disorder on the magnetic and electronic structure of a prospective spin-gapless semiconductor MnCrVAl

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    Recent discovery of a new class of materials, spin-gapless semiconductors (SGS), has attracted considerable attention in the last few years, primarily due to potential applications in the emerging field of spin-based electronics (spintronics). Here, we investigate structural, electronic, and magnetic properties of one potential SGS compound, MnCr-VAl, using various experimental and theoretical techniques. Our calculations show that this material exhibits ≈ 0.5 eV band gap for the majority-spin states, while for the minority-spin it is nearly gapless. The calculated magnetic moment for the com- pletely ordered structure is 2.9 μB/f.u., which is different from our experimentally measured value of almost zero. This discrepancy is explained by the structural disorder. In particular, A2 type disorder, where Mn or Cr atoms exchange their positions with Al atoms, results in induced antiferromagnetic exchange coupling, which, at a certain level of disorder, effectively reduces the total magnetic moment to zero. This is consistent with our x-ray diffraction measurements which indicate the presence of A2 disorder in all of our samples. In addition, we also show that B2 disorder does not result in antiferromagnetic exchange coupling and therefore does not significantly reduce the total magnetic moment

    A STUDY ON THE DEVELOPMENT AND SANITATION PROFILE OF SMART CITIES – A CASE STUDY OF TIRUCHIRAPALLI CITY

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    Health and Sanitation are the two major limbs that support Swachh Bharat Abhiyaan. This scheme was launched by the Indian Government targeting towards achieving a more clean and healthy India. The present study was done for estimating the cleanliness and development of Tiruchirapalli city located in the state of Tamil Nadu. Geospatial & Statistical tools were used for analyzing and ranking different wards. Panchromatic & MSS merged image and ancillary data obtained from Trichy Municipal Corporation was used to derive necessary GIS layers. Adequacy of the public toilets for each ward was found out using spatial layers and mathematical equation derived from census and sanitation data. Development Index was generated for each ward giving appropriate ranking by considering parameters such as public toilets, population, built-up densities and NDVI for each ward. The results were used for estimating the adequacy of public toilets in each ward and deciding the best wards based on ranks obtained from weighted values of different developmental parameters

    Are Musculoskeletal Conditions Neglected in National Health Surveys?

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    Concise report[Abstract] Objective: To describe the proportion of national health surveys that contain questions on the prevalence and consequences of musculoskeletal conditions. Methods: We used a comprehensive search strategy to obtain national health surveys from the 218 countries listed by the World Bank. Two authors independently extracted information from each national health survey. Outcomes were the proportion of surveys that contained questions on the prevalence of musculoskeletal conditions using the Global Burden of Disease categorization of RA, OA, low back pain, neck pain, gout and other and contained condition-specific questions about activity limitation, severity of pain and work absence. We also measured how frequently the prevalence of low back pain was measured using a consensus-based standard definition for low back pain prevalence studies. Results: We identified national health surveys from 170 countries. Sixty-two (36.4%), the majority from high-income countries (n = 43), measured the prevalence of at least one musculoskeletal condition. OA [53 (85.4%)], low back pain [39 (62.9%)] and neck pain [37 (59.7%)] were most commonly measured, while RA and gout prevalence were only measured in 10 (5.9%) and 3 (1.8%) surveys, respectively. A minority of surveys assessed condition-specific activity limitations [6 (3.6%)], pain severity [5 (2.9%)] and work absence [1 (0.6%)]. Only one survey used the consensus-based standard definition for low back pain. Conclusion: Musculoskeletal conditions are neglected in the majority of national health surveys. Monitoring musculoskeletal conditions through ongoing surveys is crucial for the development and evaluation of health policies to reduce their burden
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