Enhancing Social Sustainability in a Social Housing Project in India

This paper assesses the social environment required for enhancing social sustainability in a social housing project in India, with a case study of Ajith Singh nagar, social housing project of Vijayawada of Andhra Pradesh, India. Social sustainability is less thought off out of Three pillars of sustainability (Environment, social and economic). Social sustainability is quality of life in a neighborhood with its social environment. This paper studies the Informal social spaces such as informal meeting places, eating, sitting places, religious places and other activities of informal enterprise and trades which add to sustainable neighborhood environment. These spaces generate psychological comfort, enable to establish social relationships, that creates opportunity for informal interactions and social cohesion. Provision of these places in a neighborhood will address the social sustainability. This research arrives at what social spaces and activities required in a neighborhood by analysing existing housing layout which is otherwise just series of buildings and roads. The interactions between people and their surroundings strengthen community building and social bonding. This paper finds out that adding these places and activities enhance the social interactions and in turn establish social Capital

Evolution in Bougainvillea (Bougainvillea Commers.) - A review

Bougainvillea is a popular ornamental, mostly valued for its multi coloured bracts. It can be used in the garden as a shrub, climber, pot plant or as a specimen plant. By keeping the view of its multiple uses there is always demand for the new coloured and forms of bracts in bougainvillea. All the present day colourful bracted bougainvilleas are developed through bud sports, mutations and inter and intra specific hybridization. There is no record of varieties evolved in bougainvillea through classical breeding in different countries. Present article will provide maximum information generated in India by different re-search institutes on classical and mutation breeding on bougainvillea

Prospective study on the effect of topical honey on radiation-induced mucositis induced by concurrent chemotherapy and radiation or radiation alone given as radical or adjuvant treatment in head and neck squamous cell malignancies

Pain imparts additional morbidity and economic burden to patients by requiring parenteral analgesia, interruption of radiation therapy (RT) and/or hospitalization, and parenteral or tube feeding, all of which negatively impact patients' quality of life. There are various drugs tried to relieve pain associated with radiation-induced mucositis. The aim: The aim of the study is to evaluate the effect of the topical application of pure natural honey on radiation-induced mucositis in patients undergoing concurrent chemo-radiation or radiation alone for radical or adjuvant treatment for head and neck squamous cell malignancies. Materials and methods: It is a hospital-based prospective study enrolling patients with histopathologically proven head and neck cancers. All histopathologically proven patients of squamous cell carcinoma of Head & Neck cancer (carcinoma of the oral cavity, oropharynx) receiving chemotherapy and radiotherapy or radiotherapy alone in the definitive or adjuvant setting and who meet our inclusion and exclusion criteria will be taken up as study group. Results: Mean age of patients was 49 years, most males 87 %. The oral cavity was the most common primary site (84 %), followed by the oropharynx (16 %). Most cases were locally advanced cancer stage IV (60 %). The set of mucositis is after 5 fractions in both study and control groups, but 89 % in the control group, compared to 33 % in the study group. On grade 3, mucositis is delayed in the study group compared to the control group, and no patients in the study group had grade 4 mucositis. Conclusions: All patients in the study developed mucositis. On the set of grade 3, mucositis is delayed in the study group compared to the control group, and no patients in the study group had grade 4 mucositis. Honey is effective in preventing grade 3 and 4 mucositis. Honey showed no effect on weight loss and oral infections in this study

E-mail address categorization based on semantics of surnames

Surname (family name) analysis is used in geography to understand population origins, migration, identity, social norms and cultural customs. Some of these are supposedly evolved over generations. Surnames exhibit good statistical properties that can be used to extract information in names data set such as automatic detection of ethnic or community groups in names. An e-mail address, often contains surname as a substring. This containment may be full or partial. An e-mail address categorization based on semantics of surnames is the objective of this paper. This is achieved in two phases. First phase deals with surname representation and clustering. Here, a vector space model is proposed where latent semantic analysis is performed. Clustering is done using the method called averagelinkage method. In the second phase, an email is categorized as belonging to one of the categories (discovered in first phase). For this, substring matching is required, which is done in an efficient way by using suffix tree data structure. We perform experimental evaluation for the 500 most frequently occurring surnames in India and United Kingdom. Also, we categorize the e-mail addresses that have these surnames as substrings

DESIGNING A FLYWHEEL TO GENERATE HIGHER ENERGY IN SMALL CYCLE

In machines where the procedure is intermittent like punching machines, shearing machines, riveting machines, crushers etc., the flywheel stores energy in the source of energy throughout the greater portion, from the operating cycle and provides up throughout a small duration of the cycle. Thus the power in the source of energy to machines is provided practically in a constant rate through the operation. However, the flywheel has undoubtedly the finest inertia even just in a multi cylinder engine. Apart from its principle function, the fly wheel works as a person in the friction clutch, & it always carries even the ring gear from the electric starter. ANSYS Mechanical software provides a comprehensive product solution for structural straight line/nonlinear and dynamics analysis. The merchandise provides a complete group of elements behavior, material models and equation solvers for an array of engineering problems. Additionally, ANSYS Mechanical offers thermal analysis and coupled-physics abilities involving acoustic, piezoelectric, thermal-structural and thermal-electric analysis. SolidWorks utilizes a 3D design approach. While you design a component, in the initial sketch towards the final model, you develop a 3D entity. Out of this 3D entity, you may create 2D sketches, or mate different components to produce 3D assemblies. You may also create 2D sketches of 3D assemblies

Privacy-preserving clinical decision support system using gaussian kernel-based classification

A clinical decision support system forms a critical capability to link health observations with health knowledge to influence choices by clinicians for improved healthcare. Recent trends toward remote outsourcing can be exploited to provide efficient and accurate clinical decision support in healthcare. In this scenario, clinicians can use the health knowledge located in remote servers via the Internet to diagnose their patients. However, the fact that these servers are third party and therefore potentially not fully trusted raises possible privacy concerns. In this paper, we propose a novel privacy-preserving protocol for a clinical decision support system where the patients' data always remain in an encrypted form during the diagnosis process. Hence, the server involved in the diagnosis process is not able to learn any extra knowledge about the patient's data and results. Our experimental results on popular medical datasets from UCI-database demonstrate that the accuracy of the proposed protocol is up to 97.21% and the privacy of patient data is not compromised

Privacy-Preserving Multi-Class Support Vector Machine for Outsourcing the Data Classification in Cloud

Emerging cloud computing infrastructure replaces traditional outsourcing techniques and provides flexible services to clients at different locations via Internet. This leads to the requirement for data classification to be performed by potentially untrusted servers in the cloud. Within this context, classifier built by the server can be utilized by clients in order to classify their own data samples over the cloud. In this paper, we study a privacy-preserving (PP) data classification technique where the server is unable to learn any knowledge about clients’ input data samples while the server side classifier is also kept secret from the clients during the classification process. More specifically, to the best of our knowledge, we propose the first known client-server data classification protocol using support vector machine. The proposed protocol performs PP classification for both two-class and multi-class problems. The protocol exploits properties of Pailler homomorphic encryption and secure two-party computation. At the core of our protocol lies an efficient, novel protocol for securely obtaining the sign of Pailler encrypted numbers

User Collusion Avoidance Scheme for Privacy-Preserving Decentralized Key-Policy Attribute-Based Encryption

Decentralized attribute-based encryption (ABE) is a variant of multi-authority based ABE whereby any attribute authority (AA) can independently join and leave the system without collaborating with the existing AAs. In this paper, we propose a user collusion avoidance scheme which preserves the user's privacy when they interact with multiple authorities to obtain decryption credentials. The proposed scheme mitigates the well-known user collusion security vulnerability found in previous schemes. We show that our scheme relies on the standard complexity assumption (decisional bilienar Deffie-Hellman assumption). This is contrast to previous schemes which relies on non-standard assumption (q-decisional Diffie-Hellman inversion)

Using Digital Traces for User Profiling: the Uncertainty of Identity Toolset

People manage a spectrum of identities in cyber domains. Profiling individuals and assigning them to distinct groups or classes have potential applications in targeted services, online fraud detection, extensive social sorting, and cyber-security. This paper presents the Uncertainty of Identity Toolset, a framework for the identification and profiling of users from their social media accounts and e-mail addresses. More specifically, in this paper we discuss the design and implementation of two tools of the framework. The Twitter Geographic Profiler tool builds a map of the ethno-cultural communities of a person's friends on Twitter social media service. The E-mail Address Profiler tool identifies the probable identities of individuals from their e-mail addresses and maps their geographical distribution across the UK. To this end, this paper presents a framework for profiling the digital traces of individuals

The uncertainty of identity toolset:analysing digital traces for user profiling

People manage a spectrum of identities in cyber domains. Profiling individuals and assigning them to distinct groups or classes have potential applications in targeted services, online fraud detection, extensive social sorting, and cyber-security. This paper presents the Uncertainty of Identity Toolset, a framework for the identification and profiling of users from their social media accounts and e-mail addresses. More specifically, in this paper we discuss the design and implementation of two tools of the framework. The Twitter Geographic Profiler tool builds a map of the ethno-cultural communities of a person's friends on Twitter social media service. The E-mail Address Profiler tool identifies the probable identities of individuals from their e-mail addresses and maps their geographical distribution across the UK. To this end, this paper presents a framework for profiling the digital traces of individuals