Trichosporon species isolated from scald burn wound in an immunocompetent adult: a case report from Southern Assam

There are quite a good number of case reports on fungal infection in burn wounds in addition to the conventionally notorious bacterial infections in immune-compromised burn trauma patients leading to protracted course of morbidity and higher chances of mortality due to delay in diagnosis. The incidence of fungal infection in burn patients has been increasing with paradigm shift of causal fungus over last 2 decades from Candida albicans and molds to non-albicans Candida, Trichosporon species and other yeast like fungus. But there are rarely few cases of invasive Trichosporon infection in scald burn wounds in immunocompetent individuals. We therefore report a case of Trichosporon species isolation from a scald burn ulcer of an immunocompetent young male industrial worker in 2nd week of its clinical course which responded to oral fluconazole followed by skin grafting since this case scenario in itself is an uncommonly presented and reported event coupled with finding of first ever case with such presentation in this tertiary care institute of Southern Assam. This case is also reported with intention of raising awareness in surgeons for keeping vigil on non-healing burn wounds with empirical antibiotics and about the need of timely pus culture and sensitivity testing to rule out fungal colonization and prevent mortality due to disseminated fungal infection.

The Little Golden Calf [Zolotoy telyonok] and crime reports of the late 1920s

The article discusses possible inspiration behind I. Ilf and E. Petrov's novel The Little Golden Calf [Zolotoy telyonok] (1931): newspaper crime reports appearing in the late 1920s. The author points out parallels between the book's characters (Ostap Bender, Shura Balaganov, and Aleksandr Ivanovich Koreyko) and the real heroes of crime news. The article describes the adventures of an Aleksandr Serbin, who crossed the USSR from Odessa to Vladivostok alternately posing as a Brazilian industrial worker and a son of the Brazilian consul in China. All the while, Serbin seems to have been closely imitating the novel's plotline of the Lieutenant Schmidt's children. He enjoys free accommodation in hotels and receives payments from various local Soviet authorities. Interestingly, Serbin chronicles his adventures in letters to his girlfriend, thus immediately evoking another literary character — Khlestakov in Gogol's The Government Inspector [Revizor]. The article also draws analogies between crimes that took place in the Crimea in 1928 and the wealth accumulation schemes adopted by yet another of the book's characters, Koreyko.

Social Housing for Workers in Industrial Zones in Vietnam - Concepts and Practical Solutions towards Sustainable Development. The Case Studies of Hanoi City

Economic growth associated with the rapid industrialization and urbanization over the past 30 years since Doi Moi (Reform) has facilitated the establishment and development of many industrial zones (IZs) in major cities of Vietnam. The high concentration of IZs in the largest cities has attracted millions of industrial laborers and created large migration waves from rural to urban areas. Establishing and improving the living environment of workers have become a huge pressure for the Government and local authorities across the country to deal with. Although the Government has issued numerous policies and incentives to encourage and support housing development for factory workers, there are still many conflicts and challenges in policy implementation. Through observational and questionnaire surveys supported with in-depth interviews of experts in urban planning and management, the research aims to understand clearly the context of social housing development for IZ workers in Vietnam recently, to demonstrate outstanding characters of different types of housing for factory workers as well as crucial issues related to social housing and informal housing for factory workers. Furthermore, the research proposes solutions including legal institutions, management mechanisms, industrial worker housing database establishment, and basic technical solutions (planning and spatial organization) in order to find out some appropriate concepts for social housing targeted at industrial workers and then to achieve social sustainable development.

Riverbank erosion and migration inter-linkage: with special focus on Assam, India

Background Riverbank erosion becomes a vulnerable phenomenon in the bank of the Brahmaputra river and its tributaries. Around 17 riverine districts of Assam are affected by riverbank erosion and lost a large plot of land. Due to riverbank erosion the victims’ loss their homestead and crop land as well as their survival strategy in the eroded areas. Moreover, farmers largely affected due to riverbank erosion as they loss their sources of income. This forces the farmer to migrate to another place for their survival. The paper examines the linkage between river bank erosion and migration based on secondary information. Method To examine the linkage, information collected from government published sources ‘Census of India’ and ‘Statistical handbook of Assam’. On the basis of the information, 10 indicators constructed from 26 variables and then factor analysis method applied to examine the linkage between riverbank erosion and migration. Results Four variables that are agricultural worker, industrial worker, cropped area and livestock population are loaded into the first factor, for which the first factor is labeled as the socio-economic indicator. In case of second factor the two variables i.e. Migrational Growth Index (MGI) and urban population are loaded. On the basis of the loaded variables this factor labeled as demographic indicator. In case of third factor also two variables are loaded that is, Natural Growth Index (NGI) and Literacy rate. The loaded variables indicate that both NGI and Literacy rate are positively related. Two variables are loaded in this fourth factor i.e. river bank eroded area and the district population growth. This factor labeled as environmental indicator on the basis of the variables loaded in this factor. The factor correlation matrix indicates the opposite relation between first and fourth factor. Conclusion The results obtained from Factor component analysis reveals that the first and fourth factor component mainly established the linkage between riverbank erosion and migration. Besides this the component correlation matrix also reveals the inter-linkage between the variables. Thus we can say that there is positive relation between riverbank erosion and migration. However, it can be interpret that farmers mostly affected due to riverbank erosion and migrate more, because most of the inhabitants of the floodplain areas are the farmers.

A Hybrid Approach to Industrial Augmented Reality Using Deep Learning-Based Facility Segmentation and Depth Prediction

Typical AR methods have generic problems such as visual mismatching, incorrect occlusions, and limited augmentation due to the inability to estimate depth from AR images and attaching the AR markers onto physical objects, which prevents the industrial worker from conducting manufacturing tasks effectively. This paper proposes a hybrid approach to industrial AR for complementing existing AR methods using deep learning-based facility segmentation and depth prediction without AR markers and a depth camera. First, the outlines of physical objects are extracted by applying a deep learning-based instance segmentation method to the RGB image acquired from the AR camera. Simultaneously, a depth prediction method is applied to the AR image to estimate the depth map as a 3D point cloud for the detected object. Based on the segmented 3D point cloud data, 3D spatial relationships among the physical objects are calculated, which can assist in solving the visual mismatch and occlusion problems properly. In addition, it can deal with a dynamically operating or a moving facility, such as a robot—the conventional AR cannot do so. For these reasons, the proposed approach can be utilized as a hybrid or complementing function to existing AR methods, since it can be activated whenever the industrial worker requires handing of visual mismatches or occlusions. Quantitative and qualitative analyses verify the advantage of the proposed approach compared with existing AR methods. Some case studies also prove that the proposed method can be applied not only to manufacturing but also to other fields. These studies confirm the scalability, effectiveness, and originality of this proposed approach.

Riverbank Erosion and Migration, Inter-Linkage: with special focus on Assam, India

Background: Riverbank erosion becomes a vulnerable phenomenon in the bank of the Brahmaputra river and its tributaries. Around 17 riverine districts of Assam are affected by riverbank erosion and lost a large plot of land. Due to riverbank erosion the victims’ loss their homestead and crop land as well as their survival strategy in the eroded areas. Moreover, farmers largely affected due to riverbank erosion as they loss their sources of income. This forces the farmer to migrate to another place for their survival. The paper examines the linkage between river bank erosion and migration based on secondary information. Method: To examine the linkage, information collected from government published sources ‘Census of India’ and ‘Statistical handbook of Assam’. On the basis of the information, 10 indicators constructed from 26 variables and then factor analysis method applied to examine the linkage between riverbank erosion and migration. Results: Four variables that are agricultural worker, industrial worker, cropped area and livestock population are loaded into the first factor, for which the first factor is labeled as the socio-economic indicator. In case of second factor the two variables i.e. Migrational Growth Index(MGI) and urban population are loaded. On the basis of the loaded variables this factor labeled as demographic indicator. In case of third factor also two variables are loaded that is, Natural Growth Index(NGI) and Literacy rate. The loaded variables indicate that both NGI and Literacy rate are positively related. Two variables are loaded in this fourth factor i.e. river bank eroded area and the district population growth. This factor labeled as environmental indicator on the basis of the variables loaded in this factor. The factor correlation matrix indicates the opposite relation between first and fourth factor.Conclusion: The results obtained from Factor component analysis reveals that the first and fourth factor component mainly established the linkage between riverbank erosion and migration. Besides this the component correlation matrix also reveals the inter-linkage between the variables. Thus we can say that there is positive relation between riverbank erosion and migration. However, it can be interpret that farmers mostly affected due to riverbank erosion and migrate more, because most of the inhabitants of the floodplain areas are the farmers.

Riverbank Erosion and Migration Inter-Linkage: with special focus on Assam, India

Background: Riverbank erosion becomes a vulnerable phenomenon in the bank of the Brahmaputra river and its tributaries. Around 17 riverine districts of Assam are affected by riverbank erosion and lost a large plot of land. Due to riverbank erosion the victims’ loss their homestead and crop land as well as their survival strategy in the eroded areas. Moreover, farmers largely affected due to riverbank erosion as they loss their sources of income. This forces the farmer to migrate to another place for their survival. The paper examines the linkage between river bank erosion and migration based on secondary information. Method: To examine the linkage, information collected from government published sources ‘Census of India’ and ‘Statistical handbook of Assam’. On the basis of the information, 10 indicators constructed from 26 variables and then factor analysis method applied to examine the linkage between riverbank erosion and migration. Results: Four variables that are agricultural worker, industrial worker, cropped area and livestock population are loaded into the first factor, for which the first factor is labeled as the socio-economic indicator. In case of second factor the two variables i.e. Migrational Growth Index(MGI) and urban population are loaded. On the basis of the loaded variables this factor labeled as demographic indicator. In case of third factor also two variables are loaded that is, Natural Growth Index(NGI) and Literacy rate. The loaded variables indicate that both NGI and Literacy rate are positively related. Two variables are loaded in this fourth factor i.e. river bank eroded area and the district population growth. This factor labeled as environmental indicator on the basis of the variables loaded in this factor. The factor correlation matrix indicates the opposite relation between first and fourth factor. Conclusion: The results obtained from Factor component analysis reveals that the first and fourth factor component mainly established the linkage between riverbank erosion and migration. Besides this the component correlation matrix also reveals the inter-linkage between the variables. Thus we can say that there is positive relation between riverbank erosion and migration. However, it can be interpret that farmers mostly affected due to riverbank erosion and migrate more, because most of the inhabitants of the floodplain areas are the farmers.

Burden of occupational injuries occurred in Italy, 1900-2017

Background The GBD study allows comparison of health conditions among different societies and cultures. This permits also to estimate health variations over a long time in a single nation, overcoming the difficulties deriving from social and economic changes. INAIL, the National Institute for Insurance against Accidents at Work, provides since 1884, detailed data about the number of events and their consequences, age and sex of injured workers, and the total number of insured workers. Such data allow us to estimate DALYs in terms of incidence and prevalence, and under different mortality models. Methods 1.8 mln. individual injury records occurred in 1990-2015 were transcoded into GBD injury categories. YLLs and YLDs were calculated considering life expectancy, DWs and duration, then distributed by compensation category. The YLLs and YLDs of permanent disabilities have been assessed with reference both to the life expectancy of the GBD 2017 and, in a competitive mortality model, to mean values at the time of the accident. Estimated DALYs were assessed both in terms of incidence and prevalence. Results Around 1900, an industrial worker suffered on average 0.087 incident DALY/year for occupational injuries, or 0.058 in a competitive mortality model. These values remained almost stationary until WWII when they showed a peak around 0.11, then declined to about a third in the 1970s, and to about a twentieth in 2017. The YLL / DALY ratio was 0.82 around 1900, then slowly decreased to less than 0.5 in the late 1930s, rose to a new peak around 0.8 in WWII, then diminished again to 0.32 in 2017. Considering prevalence, variations are much slower, due to the expected average durations of permanent disabilities, between 32.5 and 52 years. Risk breakdown by main industry sectors is ongoing. Conclusions DALY rate and YLL/DALY injuries declined largely along time. Nevertheless, such events continue to leave a very long-term legacy of disabilities. Key messages INAIL data permit to estimate burden for occupational injuries occurred in Italy along over a century. Injury burden declined over time, but continues to leave a legacy of long-term disabilities.

Riverbank Erosion and Migration, Inter-linkage: With Special Focus on Assam, India

Background: River-bank erosion becomes a vulnerable phenomenon in the bank of the Brahmaputra river and its tributaries. Around 17 riverine districts of Assam are affected by riverbank erosion and lost large plots of land. Due to riverbank erosion the victims’ loss their homestead and crop land as well as their survival strategy in the eroded areas. Moreover, farmers largely affected due to riverbank erosion as they loss their sources of income. This forces the farmer to migrate to another place for their survival. The paper examines the linkage between river bank erosion and migration based on secondary information. To examine the linkage, information collected from government published source ‘Census of India’ and ‘Statistical handbook of Assam’. On the basis of the information, 10 indicators constructed from 26 variables and then factor analysis method applied to examine the linkage between riverbank erosion and migration. Results: Four variables that are agricultural worker, industrial worker, cropped area and livestock population are loaded into the first factor, for which the first factor is labeled as the socio-economic indicator. In case of second factor the two variables i.e. MGI and urban population are loaded. On the basis of the loaded variables this factor labeled as demographic indicator. In case of third factor also two variables are loaded that is, NGI (Natural Growth Index) and Literacy rate. The loaded variables indicate that both NGI and Literacy rate are positively related. Two variables are loaded in this fourth factor i.e. river bank eroded area and the district population growth. This factor labeled as environmental indicator on the basis of the variables loaded in this factor. The factor correlation matrix indicate the opposite relation between first and fourth factor.Conclusion: The results obtained from Factor component analysis reveals that the first and fourth factor component mainly established the linkage between riverbank erosion and migration. Besides this the component correlation matrix also reveals the inter-linkage between the variables. Thus we can say that there is positive relation between riverbank erosion and migration. However, it can be interpret that farmers mostly affected due to riverbank erosion and migrate more, because farmers mostly inhabited in floodplain areas.