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Understanding blame attributions in rape among legal professionals
Rape in the Indian context, is a prominent issue, greatly influenced by socio-cultural values and beliefs. Victim blaming and the concept of an ideal victim is a social evil that makes life difficult for rape survivors. What would happen if officials responsible for providing justice possess this tendency? The study aimed at understanding this question through a qualitative study on eight legal professionals including two magistrates and six advocates. The data obtained was analysed using thematic network analysis as well as content analysis. It was observed that victim blaming was present in the responses given, but blame was directed onto other factors as well. Victim blaming varied with victim characteristics and blame was greater in case of acquaintance rape rather than stranger rape. Culture based stereotypes, sex roles and rape myths were observed and seemed to affect the way they made decisions. A more extensive study in future including a broader sample and professionals from different administrative realms can help understand the issue better. 2019 International Journal of Criminal Justice Sciences (IJCJS). -
An exploration of attitudes toward dogs among college students in Bangalore, India
Conversations in the field of anthrozoology include treatment and distinction of food animals, animals as workers versus pests, and most recently, emerging pet trends including the practice of pet parenting. This paper explores attitudes toward pet dogs in the shared social space of urban India. The data include 375 pen-and-paper surveys from students at CHRIST (Deemed to be University) in Bangalore, India. Reflecting upon Serpells biaxial concept of dogs as a relationship of affect and utility, the paper considers the growing trend of pet dog keeping in urban spaces and the increased use of affiliative words to describe these relationships. The paper also explores potential sex differences in attitudes towards pet and stray dogs. Ultimately, these findings suggest that the presence of and affiliation with pet dogs, with reduced utility and increased affect, is symptomatic of cultural changes typical of societies encountering the second demographic transition. Despite this, sex differences as expected based upon evolutionary principles, remain present, with women more likely to emphasize health and welfare and men more likely to emphasize bravery and risk taking. 2019 by the authors. Licensee MDPI, Basel, Switzerland. -
Speech to text conversion and summarization for effective understanding and documentation
Speech, is the most powerful way of communication with which human beings express their thoughts and feelings through different languages. The features of speech differs with each language. However, even while communicating in the same language, the pace and the dialect varies with each person. This creates difficulty in understanding the conveyed message for some people. Sometimes lengthy speeches are also quite difficult to follow due to reasons such as different pronunciation, pace and so on. Speech recognition which is an inter disciplinary field of computational linguistics aids in developing technologies that empowers the recognition and translation of speech into text. Text summarization extracts the utmost important information from a source which is a text and provides the adequate summary of the same. The research work presented in this paper describes an easy and effective method for speech recognition. The speech is converted to the corresponding text and produces summarized text. This has various applications like lecture notes creation, summarizing catalogues for lengthy documents and so on. Extensive experimentation is performed to validate the efficiency of the proposed method. Copyright 2019 Institute of Advanced Engineering and Science. All rights reserved. -
Stereotype threat and psychological wellbeing in children of prisoners
Stereotypes are ideas that one holds regarding individuals because of their membership to a specific group. The current research was undertaken to study stereotype perception and stereotype threat on the psychological wellbeing of children of prisoners. Eight children of prisoners in the age range of 17 to 25 (females = 4), whose fathers were in prison for more than a year, participated in the study. Semi-structured interview method was used to collect data from the participants and data were analyzed using thematic network analysis method. Results revealed that children of prisoners strongly perceive stereotypes against them and they conform to stereotypes. Further to this, it was found that stereotype threat had positive effects in terms of increased goal-directed behavior and negative effects in terms of reduced happiness and increased feelings of anger and sadness. These Undings are discussed in light of previous literature on the effects of stereotypes on behavior. 2019 International Journal of Criminal Justice Sciences (IJCJS). -
New insights into surface functionalization and preparation methods of MWCNT based semiconductor photocatalysts
The manuscript primarily describes the influence of various synthesis strategies on the photocatalytic properties of MWCNT/TiO2 binary nanohybrids. The multiwalled carbon nanotube modified titania hybrids synthesized via two-step reaction involving the covalent functionalization with green and mild oxidizing agent like H2O2, followed by simple surfactant/template free hydrothermal synthesis exhibited the maximum photocatalytic efficiency. The Total Organic Carbon (TOC)analysis showed complete mineralization of the persistent Rhodamine B dye in about 8 h. These synthesized nanohybrids in varying MWCNT content were tested for their photocatalytic efficiency in the degradation of explosive effluents like 4-nitrophenol and picric acid. The UVVis diffuse reflectance spectroscopy (UVVis DRS), X-ray photoelectron spectroscopy (XPS), BrunauerEmmettTeller Surface area analysis (BET), Fourier transform infrared spectroscopy (FT-IR), Transmission electron microscopy (TEM)and Raman spectra analysis evidently revealed the effective synergistic interaction between the MWCNT and titania at the interface that has contributed to the significant enhancement of photocatalytic performance. 2019 Elsevier Ltd and Techna Group S.r.l. -
Balanced constrained partitioning of distinct objects
Partition is the process of dividing ? elements of a set into ? non-empty subsets where every element is included in exactly one subset. Set partitioning problems play an important role in real-world scenarios such as scheduling, management and grouping. In this paper, n distinct objects are arranged into different groups and the problem of partition is evaluated concerning a people assignment problem of a multi-site company. New constraints such as minimum and the maximum number of people in a single-site company (respectively m and M) that are fixed for all sites are introduced and the solutions for the partition problem for the constraints are also established. BEIESP. -
Recommender system for personalised travel itinerary
A recommender system is an approach to give an appropriate solution to a particular problem. This helps in recognising the pattern or behaviour of a user to suggest future possible likes of the user. Nowadays people like to travel during their spare time, it has become a rigid task to decide where to go. This paper represents a customised recommender system to help users in destining their itinerary. A model is designed to suggest the best places to visit in Rome. A questionnaire was prepared to get information about user's interest during their travel. The model generates the best five places to visit with respect to the choice picked by the user. The top five places for each category will be displayed to the user and the user was asked to pick a starting point for the itinerary. Then the model generates another set off a filtered list of places to enhance their travel experience. It includes displaying the top 5 restaurants to visit during their travel. Copyright 2019 Institute of Advanced Engineering and Science. All rights reserved. -
Effective fraud detection in healthcare domain using popular classification modeling techniques
Fraud is any activity with malicious intentions resulting in personal gain. In the Present Day scenario, every sector is polluted by such fraudulent activities to fetch unauthorized benefits. In HealthCare, an increase in fraudulent insurance claims has been observed over the years which may constitute around 3-5% of the total cost. Increasing healthcare costs along with the hike in fraud cases have made it difficult for people to approach these services when required. To avoid such situations, we must understand and identify such illegal acts and prepare our systems to combat such cases. Thus, there is a need to have a powerful mechanism to detect and avoid fraudulent activities. Many Data mining approaches are applied to identify, analyze and categorized fraud claims from the genuine ones. In this paper, various frauds existing in the Health Care sector have been discussed along with analyzing the effect of frauds in the health care domain with existing data mining models. Furthermost, a comparative analysis is performed on two existing approaches to extract relevant patterns related to fraudulent claims. BEIESP. -
Benzimidazole and benzothiazole conjugated Schiff base as fluorescent sensors for Al3+ and Zn2+
Two benzimidazole/benzothiazole based azomethines, (E)-2-(1H-benzo[d]imidazol-2-yl)-4-(4-(diethylamino)-2-hydroxybenzylideneamino)phenol (HBZA) and (E)2-(benzo[d]thiazol2-yl)4-(4-(diethylamino)2-hydroxybenzylideneamino)phenol (HBTA) were designed and synthesised. Investigations of solvatochromic behaviour of these fluorophores in solvents of varying polarities showed large Stokes shift of 134210 nm. Time resolved Laser induced fluorescence measurements revealed the excited state dynamics of the fluorophores. Molecules were also found to be emissive in aggregated state as seen from the aggregation induced emission studies. Appreciable absorption and emission spectral changes upon co-ordination of HBZA with Al3+/Zn2+ and HBTA with Al3+, as well as good sensitivity and selectivity, indicated their capability of detecting the two analytes. The binding stoichiometry was determined using electrospray ionization mass spectrometry (ESI-MS) and the binding mechanism was studied using density functional theory. 2019 Elsevier B.V. -
Significance of induced magnetic field and exponential space dependent heat source on quadratic convective flow of Casson fluid in a micro-channel via HPM
The effects of the exponential space based heat source on quadratic convective flow of Casson fluid in a microchannel with an induced magnetic field is studied through a statistical approach. The flow is considered in vertical microchannel formed by two vertical plates. The solution for the governing equations has been obtained for the velocity, induced magnetic field and temperature field using Homotopy Perturbation Method (HPM). The current density, skin friction co-efficient and Nusselt number expressions are also estimated. The impact of various physical parameters on the velocity, temperature, induced magnetic field, current density, skin friction co-efficient and Nusselt number distributions have been discussed with the help of graphs. The results obtained by using HPM, are compared to those obtained by using the Runge-Kutta-Fehlberg 4-5th order method and an excellent agreement is found. The impact of Casson fluid parameter and the exponential heat source is qualitatively agreed for all flow fields. 2019 IIETA. -
An algorithm for IoT based vehicle verification system using RFID
The verification of vehicle documents is an important role of transport department which is rising day by day due to the mass registration of the vehicles. An automated vehicle verification system can improve the efficiency of this process. In this paper, we propose an IOT based vehicle verification system using RFID technology. As a result, the vehicle checking which is done now manually can be replaced by automation. There is a loss of a significant amount of time when the normal vehicle checking is done manually. The proposed system will make this process automated. The present verification process is using inductive loops that are placed in a roadbed for detecting vehicles as they pass through the loop of the magnetic field. Similarly, the sensing devices spread along the road can detect passing vehicles through the Bluetooth mechanism. The fixed audio detection devices that can be used to identify the type of vehicles on the road. Other measurements are fixed cameras installed in specific points of roads for categorising the vehicles. But all these mechanisms cannot verify the documents and certificates of the vehicles. In our work, we have suggested an algorithm using RFID technology to automate the documentation verification process of the vehicles like Pollution, Insurance, Rc book etc with the help of RFID reader placed at road checking areas. This documents will be updated by the motor vehicle department at specific periods. Copyright 2019 Institute of Advanced Engineering and Science. All rights reserved. -
Effectiveness of exponential heat source, nanoparticle shape factor and Hall current on mixed convective flow of nanoliquids subject to rotating frame
Purpose: The study of novel exponential heat source (EHS) phenomena across a flowing fluid with the suspension of nanoparticles over a rotating plate in the presence of Hall current and chemical reaction has been an open question. Therefore, the purpose of this paper is to investigate the impact of EHS in the transport of nanofluid under the influence of strong magnetic dipole (Hall effect), chemical reaction and temperature-dependent heat source (THS) effects. The Khanafer-Vafai-Lightstone model is used for nanofluid and the thermophysical properties of nanofluid are calculated from mixture theory and phenomenological laws. The simulation of the flow is also carried out using the appropriate values of the empirical shape factor for five different particle shapes (i.e. sphere, hexahedron, tetrahedron, column and lamina). Design/methodology/approach: Using Laplace transform technique, exact solutions are presented for the governing nonlinear equations. Graphical illustrations are pointed out to represent the impact of involved parameters in a comprehensive way. The numeric data of the density, thermal conductivity, dynamic viscosity, specific heat, Prandtl number and Nusselt number for 20 different nanofluids are presented. Findings: It is established that the nanofluid enhances the heat transfer rate of the working fluids; the nanoparticles also cause an increase of viscous. The impact of EHS advances the heat transfer characteristics significantly than usual thermal-based heat source (THS). Originality/value: The effectiveness of EHS phenomena in the dynamics of nanofluid over a rotating plate with Hall current, chemical reaction and THS effects is first time investigated. 2019, Emerald Publishing Limited. -
Thermal analysis of nanofluid flow containing gyrotactic microorganisms in bioconvection and second-order slip with convective condition
Bioconvection in magneto-nanoliquid embedded with gyrotactic microorganisms across an elongated sheet with velocity slip of second order is addressed. Nonlinear thermal radiation and chemical reaction aspects are retained in energy and concentration equations. Numerical simulations for the modeled problem are proposed via RungeKuttaFehlberg-based shooting technique. Special attention is given to the impact of involved parameters on the profiles of motile microorganisms, nanoparticle volume fraction, temperature and velocity. Our simulations figured out that assisting flow generates more heat transfer than the opposing flow situation. The motile microorganisms boundary layer decayed for higher bioconvection Peclet and bioconvection Lewis numbers. 2018, Akadiai Kiad Budapest, Hungary. -
Tracing the outer disk of NGC300: An ultraviolet view
We present an ultra-violet (UV) study of the galaxy NGC300 using GALEX far-UV (FUV) and near-UV (NUV) observations. We studied the nature of UV emission in the galaxy and correlated it with optical, HI and mid-infrared (3.6 ?m) wavelengths. Our study identified extended features in the outer disk, with the UV disk extending up to a radius of 12 kpc (> 2 R25). We estimated the FUV and NUV disk scale-length as 3.05 0.27 kpc and 2.66 0.20 kpc respectively. The scale-length in FUV is 2.3 times larger than that at 3.6 ?m, and we also find the disk to gradually become flatter from longer to shorter wavelengths. We performed a statistical source subtraction to eliminate the background contaminants and identified 261 unresolved UV sources between the radii 5.3 kpc and 10 kpc (1 ? 2 R25). The identified UV sources show an age range between 1300 Myr with a peak at 25 Myr and a mass range between 10 3M? to 10 6M?, estimated using Starburst99 models. The north-eastern spiral arm is found to be populated by young low mass sources suggesting that the star formation in this spiral arm is a recent phenomenon. The UV emission beyond the R25 radius has contribution from these low mass sources and is extended up to ? 2 R25 radius. We conclude that NGC300 has an extended UV disk, mainly populated by young low mass sources. The star formation rate is measured to be ?0.46M?/yr which is comparable to its near optical twin M33. 2019, Indian Academy of Sciences. -
Enhancing Greedy Web Proxy caching using Weighted Random Indexing based Data Mining Classifier
Web Proxy caching system is an intermediary between the Web users and servers that try to alleviate the loads on the origin servers by caching particular Web objects and behaves as the proxy for the server and services the requests that are made to the servers. In this paper, the performance of a Proxy system is measured by the number of hits at the Proxy. Higher number of hits at the Proxy server reflects the effectiveness of the Proxy system. The number of hits is determined by the replacement policies chosen by the Proxy systems. Traditional replacement policies that are based on time and size are reactive and do not consider the events that will possibly happen in the future. The performance of the web proxy caching system is improved by adapting Data Mining Classifier model based on Web User clustering and Weighted Random Indexing Methods. The outcome of the paper are proactive strategies that augment the traditional replacement policies such as GDS, GDSF, GD? which uses the Data Mining techniques. 2019 -
Predicting heart ailment in patients with varying number of features using data mining techniques
Data mining can be defined as a process of extracting unknown, verifiable and possibly helpful data from information. Among the various ailments, heart ailment is one of the primary reason behind death of individuals around the globe, hence in order to curb this, a detailed analysis is done using Data Mining. Many a times we limit ourselves with minimal attributes that are required to predict a patient with heart disease. By doing so we are missing on a lot of important attributes that are main causes for heart diseases. Hence, this research aims at considering almost all the important features affecting heart disease and performs the analysis step by step with minimal to maximum set of attributes using Data Mining techniques to predict heart ailments. The various classification methods used are Nae Bayes classifier, Random Forest and Random Tree which are applied on three datasets with different number of attributes but with a common class label. From the analysis performed, it shows that there is a gradual increase in prediction accuracies with the increase in the attributes irrespective of the classifiers used and Nae Bayes and Random Forest algorithms comparatively outperforms with these sets of data. 2019 Institute of Advanced Engineering and Science. -
Zero forcing number of degree splitting graphs and complete degree splitting graphs
A subset Z V(G) of initially colored black vertices of a graph G is known as a zero forcing set if we can alter the color of all ver- tices in G as black by iteratively applying the subsequent color change condition. At each step, any black colored vertex has exactly one white neighbor, then change the color of this white vertex as black. The zero forcing number Z(G), is the minimum number of vertices in a zero forcing set Z of G (see [11]). In this paper, we compute the zero forcing num- ber of the degree splitting graph (DS-Graph) and the complete degree splitting graph (CDS-Graph) of a graph. We prove that for any simple graph, Z[DS(G)] k + t, where Z(G) = k and t is the number of newly introduced vertices in DS(G) to construct it. 2019 Sciendo. All rights reserved. -
Perspectives about Illness, Attitudes, and Caregiving Experiences among Siblings of Persons with Schizophrenia: A Qualitative Analysis
Background: Siblings of persons diagnosed with schizophrenia (SPS) are one among the major sources of support for persons with schizophrenia. There is a dearth of psychosocial literature on SPS in India. This qualitative study explored the perspectives about the illness, attitudes, and caregiving experiences of SPS. Materials and Methods: Qualitative audio-recorded interviews were conducted with 15 SPS, purposively selected from a tertiary mental health hospital of Southern India. A general inductive approach was adopted to analyze the qualitative data. Results: Four broad themes were identified from qualitative data analysis. (1) SPS described several explanatory models of mental illness in terms of causal attributions and treatment care. (2) They had expressed emotion toward their ill siblings, such as criticality, hostility, and emotional over-involvement. (3) They experienced objective and subjective burden while caring for their ill sibling. In spite of all these, (4) they were part of their ill siblings' care in terms of ensuring regular follow-ups and drug adherence and supported their livelihood. They coped up with adaptive as well as maladaptive strategies. Conclusion: SPS provide significant support to their affected siblings. However, they do have non-biomedical models of mental illness and negative attitudes toward patients and experience burden. Hence, psychosocial interventions may help SPS while caregiving for their affected siblings. 2019 Indian Psychiatric Society - South Zonal Branch. -
Application of data analytics principles in healthcare
Information technology has transformed the healthcare field worldwide. In many areas of the healthcare industry, implementations of data analytics tools are commonly used recently. Applying data analytics principles in medical sciences appropriately transforms the mere storage of medical records in to discovery of drugs. Data science and analytics are essential tools because they can help make better decisions when it comes to spending and reducing inefficiencies in healthcare. The proposed model of healthcare data analytics provides a framework to accelerate the adoption and implementation of predictive analytics in healthcare. Healthcare data analytics can be applied to prove formulated hypotheses, test those using standard analytics models and predict patient health conditions. It can be used to classify patients at risk of developing diseases such as diabetes, asthma, and other life-long illnesses. In spite of the challenges faced while applying data science predictive analytics in the healthcare environment, there is an enormous opportunity for its usage in providing quality healthcare for patients. BEIESP. -
Biofuel production and characterization from waste chicken skin and pig fat
The biofuels are the most important alternative energy sources in future to fulfil the energy demands. The team of our students carried out an innovative process to convert waste to value-added products. The students have been visited many meat stalls and gathered the required amount of resources with and without cost. The collected waste chicken skin and pig tallow is heated and extracted fat, which is the primary sources to produce the biofuel. The fat extraction process was carried by shredding down the waste chicken skin and pig tallow. The obtained fat was filtered and heated up to 110C to remove all the impurities, water suspensions, blood cells and pieces of bones. The process called transesterification process was carried out to convert obtained fat into biofuel with methyl alcohol and KOH as a catalyst. Transesterification process carted with fat before acid wash and after acid wash to examine the effect of FFA on biofuel yield. The quantity of biofuel yield has been observed to be 62 to 68% for fat from waste chicken skin and 82 to 83 % for fat from pig tallow. The derived fuel from fat from both resources is combined with conventional diesel fuel to check the different properties on a volume basis varied by 10% up to 40%. The essential properties such as viscosity, density, flashpoint, fire point and calorific values were determined, and results show that the fuel combination CB20 and PB20 meets the all requirements of ASTM standards to fix as an additive fuel to CI engines. The clear biofuel from both the fat expressed higher viscosity, density, flash and fire point with a lesser value of energy density. BEIESP.