Caste, kinship and the realisation of ‘American Dream’: high-skilled Telugu migrants in the U.S.A.

Literature on the Indian diaspora domiciled in the U.S.A. largely portrays the group as educated, highly skilled migrants in pursuit of their American Dream, without critically engaging with the regionally particularised migration trajectories that predispose only certain groups to become skilled migrants from the global South to the North. Migration studies bracket skilled migrants as those who make rational choices and choose formal routes to migrate whereas unskilled migrants often rely on informal channels of kinship or ethnicity to migrate. Unsettling this proposition, in this article, based on an ethnographic study of the high-skilled Telugu professionals in the U.S.A. and their families living in Coastal Andhra, India, I show how aspirational and topographical migration pathways from Coastal Andhra to the U.S.A. are created and sustained through networks of kinship, caste and endogamous transnational marriage alliances. These high-skilled migrants (doctors, engineers and scientists) from the dominant castes have successfully manoeuvred spatial mobility and social upward mobility by utilising ‘caste capital’ within a transnational social field. Moreover, decades of migration from the dominant castes have shaped a caste-inflected transnational habitus among its members who see migration of their youth to the U.S.A. as desirable, and at times, also inevitable

Enabling Intelligent IoTs for Histopathology Image Analysis Using Convolutional Neural Networks

Medical imaging is an essential data source that has been leveraged worldwide in healthcare systems. In pathology, histopathology images are used for cancer diagnosis, whereas these images are very complex and their analyses by pathologists require large amounts of time and effort. On the other hand, although convolutional neural networks (CNNs) have produced near-human results in image processing tasks, their processing time is becoming longer and they need higher computational power. In this paper, we implement a quantized ResNet model on two histopathology image datasets to optimize the inference power consumption. We analyze classification accuracy, energy estimation, and hardware utilization metrics to evaluate our method. First, the original RGBcolored images are utilized for the training phase, and then compression methods such as channel reduction and sparsity are applied. Our results show an accuracy increase of 6% from RGB on 32-bit (baseline) to the optimized representation of sparsity on RGB with a lower bit-width, i.e., \u3c8:8\u3e. For energy estimation on the used CNN model, we found that the energy used in RGB color mode with 32-bit is considerably higher than the other lower bit-width and compressed color modes. Moreover, we show that lower bit-width implementations yield higher resource utilization and a lower memory bottleneck ratio. This work is suitable for inference on energy-limited devices, which are increasingly being used in the Internet of Things (IoT) systems that facilitate healthcare systems

Age structure and growth rate of (Squalius cephalus Linnaeus, 1758) in Tuji tributary from Talar River, Mazandaran Province

A structure and growth pattern of Squalius cephalus (Linnaeus, 1758) in Tuji tributary of Talar River, Mazandaran Province, was studied during the period from August 2008 till August 2009. In total, 298 fish were caught by electrofishing and fixed in 10% formalin. The weight and length of fish were measured and the age was determinated by scallometric method. The age data showed that fishes were between 0+ to 4+ age groups. Pauli`s applied growth pattern showed a positive alometric for male and female and total fish and a negative isometric for unmature fishes. The average instantaneous growth rate of European Chub showed that the age groups 2+ and 3+ with 1.1 had the fastest growth compare to 3+ and 4+ age groups with 0.89. Condition factor of specimens showed that the highest one with 1.58 (r2 = 0.983) belong to females and the lowest with 1.17 (r2 = 0.901) belong to unmature fishes. The total sex ratio (123 males to 115 females) showed no significant differences between them

Assessment of gait symmetry improvements in national athletes after anterior cruciate ligament reconstruction during rehabilitation

This study aimed to quantify changes in gait parameters and their symmetries among athletes with anterior cruciate ligament (ACL) reconstructions during a rehabilitation program. Twenty-two national players with ACL reconstructions and 15 healthy athletes were recruited. The gait data were collected between postoperative weeks 4-5, 8-9 and 12-13 using a three-dimensional motion analysis system. The spatio-temporal gait parameters and symmetry indexes (SIs) were evaluated for the patients and the control group. One-way and repeated-measures multivariate analysis of variance were used to analyse the data. The results demonstrated significant differences among spatio-temporal (P0.05). The rehabilitation program allowed national athletes to restore symmetry in spatio-temporal gait parameters toward the control group's range 12-13 weeks post-reconstruction

Knowledge and attitude of occupational health and safety among laboratory worker of Faculty of Medicine and Health Sciences and Faculty of Veterinary Medicine in University Putra Malaysia. .

Introduction:Laboratory workers are exposed to variety of hazards that may affect their health and safety. Awareness of occupational safety and health (OSH) is important in preventing occupational injuries and diseases. The objective of this study was to assess the knowledge of OSH among laboratory workers in Faculty of Medicine and Health Sciences and Faculty of Veterinary Medicine, Universiti Putra Malaysia. Methods:A cross-sectional study was conducted on laboratory workers in the two faculties in Universiti Putra Malaysia.A pretested, self-administered questionnaire comprising of 5 sections including socio-demographic, OSH environment of the laboratory, exposure to the knowledge of OSH, knowledge of OSH and attitude of laboratory workers in the laboratory was distributed to all registered permanent laboratory workers in the faculties. Data entry and analysis was done using Statistical Package for Social Science (SPSS) version 18.Descriptive statistics on socio-demography and job factors were determined. Independent t-test and chi-squared test were used to test associations. Correlation between attitude and knowledge on OSH was computed. Results: The response rate was 64.42% (67 laboratory workers). The overall level of knowledge on OSH was moderate, with a mean score of 62%. A larger proportion of female respondents (51.5%) showed good OSH knowledge compared to male respondents (14.7%) and the difference was statistically significant (10.288, 1; p<0.01). Majority of the respondents (73.7%) who worked in a poor OSH laboratory environment had poor attitude level towards OSH (χ2=7.135, df=1; p=0.008). There was a moderate positive correlation between knowledge and attitude on OSH (r=0.4, p<0.01). Knowledge explains 16% of the variance in level of attitude towards OSH among laboratory workers. Conclusion: Knowledge of OSH among laboratory workers was moderate and is associated with gender and OSH environment in the workplace. A greater effort to promote OSH knowledge among the laboratory workers is needed to ensure their safety and health in workplace

Benign Multicystic Peritoneal Mesothelioma: A Rare Condition in an Uncommon Gender

Benign Multicystic Peritoneal Mesothelioma (BMPM) is a rare condition that arises from the abdominal peritoneum. Fewer than 200 cases have been reported worldwide. BMPM usually affects premenopausal women and is extremely rare in men. Many factors are suspected to contribute to its development, such as previous surgery, endometriosis, and familial Mediterranean fever. The main management is surgical resection; however, it is estimated that the recurrence rate is up to 50%. Malignant transformation is rare. We report a case series of three male patients who were diagnosed with BMPM and were treated with cytoreductive surgery and hyperthermic intraperitoneal chemotherapy (HIPEC)

Protective Effect of Ocimum basilicum Essential Oil Against Acetic Acid�Induced Colitis in Rats

Ocimum basilicum L has been traditionally used for the treatment of inflammatory bowel disease in Iran. This study investigates the ameliorative effect of Ocimum basilicum essential oil on an acetic acid�induced colitis model in rats. Ocimum basilicum essential oil with 2 doses (200 and 400 μL/kg) significantly ameliorated wet weight/length ratio of colonic tissue compared to the control group. Higher doses of essential oil (200 and 400 μL/kg) significantly reduced ulcer severity, ulcer area, and ulcer index. On the other hand, histological examination revealed the diminution of total colitis index as a marker for inflammatory cell infiltration in the colonic segments of rats treated with Ocimum basilicum essential oil (200 and 400 μL/kg). The increased level of myeloperoxidase was significantly decreased after the treatment with the essential oil (200 and 400 μL/kg). These results suggest that Ocimum basilicum exhibits protective effect against acetic acid�induced colitis. © 2015, © The Author(s) 2015

Role of fertilization regime on soil carbon sequestration and crop yield in a maize-cowpea intercropping system on low fertility soils

Achieving food security through intensive agricultural practices on low fertility soils is challenging as crop productivity is increasingly curtailed by the loss of soil structural stability and rapid depletion of soil organic carbon (SOC). As such, the conversion from traditional mono-cropping to legume-cereal intercropping, especially with integrated fertilization, may increase crop yields with the least ecological footprint. We set up a 2-year field experiment in a split-plot design with cowpea-maize monoculture and intercropping under different organic-inorganic fertilization regimes, including no fertilization (control), organic input only (compost), chemical input only (NPK), and multi-nutrient enriched compost (NPKEC). We observed that intercropped maize had a significantly higher biomass yield compared to the corresponding monoculture when fertilized with NPKEC fertilizer. However, cowpea biomass yield differences between monoculture and intercropped plots were comparable under all fertilization regimes. In contrast, the grain yield advantage of both maize and cowpea was significantly enhanced under the intercropping system compared to monoculture, with NPKEC showing the most significant effect among all fertilization regimes. When comparing the relative contribution of the fertilization regime to SOC, the NPKEC fertilizer provided the highest SOC-sequestration (0.30 Mg C/ha yr−1). At the same time, the effect of the cropping system on C-sequestration showed that intercropping provided the highest C-sequestration (0.17 Mg C/ha yr−1) compared to monocultures of both crops. Although compost application significantly increased mineral associated (MAOC) and particulate associated organic carbon (PAOC) concentrations compared to unfertilized control plots, NPKEC fertilization with intercropping system was the most effective combination causing the greatest increase of both soil C pools over time. Based on redundancy analysis (RDA), the positive association of MAOC and PAOC with C-sequestration suggests the importance of both organic fractions as primary C reservoirs conducting SOC storage. Importantly, although compost alone in association with intercropping had a lower C-sequestration, it was associated to a better soil structure as confirmed by its positive relationship with macro-and micro-aggregation, water stable aggregates (WSA), and mean weight diameter (MDA). Overall, our results indicate the importance of restoring soil structure in degraded soils through appropriate land management solutions, such as stoichiometrically balanced fertilization practices (NPKEC) and crop diversification (intercropping), in order to achieve significant gains in SOC storage and, ultimately, improve crop productivity

Fuzzy Optimised Power Generation from Moving Vehicles

Abstract In our Paper regenerative power system for electric motorcycles and cars that performs regenerative energy recovery from the axle of the vehicle based on fuzzy logic control for a boost converter is used to boost (maintain) the voltage level. Autonomous vehicles have potential applications in many fields, such as replacing humans in hazardous environments, conducting military missions, and performing routine tasks for industry. A constant regenerative current control scheme is proposed, thereby providing improved performance and high energy recovery efficiency at minimum cost. Drivers typically respond quickly to sudden changes in their environment. While other control techniques may be used to control a vehicle, fuzzy logic has certain advantages in this area; one of them is its ability to incorporate human knowledge and experience, via language, into relationships among the given quantities