Bangalore Research Articles

Assessment of Depression and Anxiety among Iranian Students and Influence of Select Demographic Variables

The purpose of the paper is to Assessment of depression and anxiety among Iranian students and to understand the influence of demographic variables among them. The data is collected trom Iranian students who are studying in Indian universities and colleges, especially among Iranian students who are studying in Bangalore and Mysore (Karnataka). I.P.A.T Anxiety Scale is used to assess anxiety and Beck Depression Inventory-Revised used to assess depression. It is hypothesized that the level of Depression and Anxiety is high among Iranian students. It also hypothesized the level of depression and anxiety among Iranian students is influenced by gender, age and level of education. Interestingly, the findings revealed that the Depression and Anxiety level of Iranian students are significantly high among Iranian students. Furthermore in depression gender differences are not found significant but in anxiety female Iranian students experienced significantly higher anxiety than male Iranian students.

On minimizing total energy consumption in the scheduling of virtual machine reservations

This paper considers the energy-efficient scheduling of virtual machine (VM) reservations in a Cloud Data center. Concentrating on CPU-intensive applications, the objective is to schedule all reservations non-preemptively, subjecting to constraints of physical machine (PM) capacities and running time interval spans, such that the total energy consumption of all PMs is minimized (called MinTEC for abbreviation). The MinTEC problem is NP-complete in general. The best known results for this problem is a 5-approximation algorithm for special instances using First-Fit-Decreasing algorithm and 3-approximation algorithm for general offline parallel machine scheduling with unit demand. By combining the features of optimality and workload in interval spans, we propose a method to find the optimal solution with the minimum number of job migrations, and a 2-approximation algorithm called LLIF for general cases. We then show how our algorithms are applied to minimize the total energy consumption in a Cloud Data center. Our theoretical results are validated by intensive simulation using trace-driven and synthetically generated data.

Job Migration of College Graduates and Regional Brain Drain

본 연구는 울산지역을 대상으로 지역인재유출의 원인과 결정요인을 진단하고, 지방과 수도권 간 대학진학과 취업 인구이동의 성과를 비교하여 지역인재 유출 방지와 우수인력 유치 방안을 모색하였으며, 주요 연구결과는 다음과 같다. 첫째, 울산지역 고교졸업자 중 우수한 인재의 대부분이 수도권 대학으로 진학하지만 수도권 대학졸업자는 수도권에 계속 머무르는 확률이 매우 높고, 이들의 울산 귀환이동률은 7.4%에 불과한 실정이다. 둘째, 대졸자 고용시장에서 울산지역 유출인력은 유입인력의 2.5배로 나타나 울산지역에서는 지속적으로 대졸 인적자본이 감소하는 것으로 나타나고 있다. 셋째, 울산지역 유출인력의 임금이 유입인력보다 높다는 사실은 유출인력의 인적자본이 유입인력의 인적자본보다 우수하다는 것을 시사하고 있다. 마지막으로 부모학력이 높을수록 수도권 대학진학 이동 경향이 높게 나타나고 있다는 점에서 인재유출은 궁극적으로 지역 부의 유출로 연결될 수 있다는 것을 암시한다.

Composite Suitability Index (CSI) Method for Ground Water Potential Identification: A Case Study for Bangalore Urban and Rural District, Karnataka

Usage of groundwater for domestic and industrial purposes poses a main intimidation to the rapidly depleting groundwater resources of India. The present work emphasizes the viability of remote sensing and geographic information system (GIS) applications in groundwater studies, especially in the identification of groundwater potential zones in Bangalore urban and rural districts, Karnataka, India, using composite suitability index (CSI) method. The CSI technique is used to determine the weights of different themes and their modules for recognizing the groundwater prospective zone. Each class or unit of every thematic layer was assigned a knowledge based ranking, depending on its significance. Then all thematic layers were overlaid through overlay process/method in Arc GIS environment. Five categories of groundwater potential zones, namely, good, good-moderate, moderate, moderate-poor and poor were identified and delineated. The obtained ground water potential zone map will be used to furtherance the urban and rural water supply plan in the Bangalore urban and rural areas. Keywords: Groundwater potential identification, composite suitability index, GIS and remote sensing Cite this Article Revathy SS, Suresh Babu S, Raikar RV. Composite Suitability Index (CSI) Method for Ground Water Potential Identification: A Case Study for Bangalore Urban and Rural District, Karnataka. Journal of Remote Sensing & GIS. 2017; 8(3): 8–16p.

Palmomental reflex is an important clinical marker of REM sleep behavior disorder in patients with Parkinson’s disease

OBJECTIVES: To find important clinical features in differentiating patients with Parkinson’s disease (PD) with and without rapid eye movement sleep behavior disorder (RBD). METHODS: This study was a prospective, questionnaire-based study performed at the National Institute of Mental health and Neurosciences, Bangalore, after prior institutional ethical approval. Patients with PD were clinically examined and the presence of RBD was diagnosed using the minimal criteria for the diagnosis of RBD (International Classification of Sleep Disorders-1). RBD screening questionnaire based on the minimal criteria was used. The bed-partners were interviewed with Mayo sleep questionnaire. Other scales included Unified Parkinson’s Disease Rating Scale-part III (UPDRS-III), Hoehn and Yahr Stage, Mini-Mental Status Examination (MMSE), Pittsburgh sleep quality index, Parkinson’s Disease Sleep Scale, Epworth Sleep Scale (ESS), Hamilton anxiety rating scale (HAM-A), and Hamilton depression rating scale (HAM-D). RESULTS: A total of 126 patients with PD without RBD (mean age: 61.1±9.8 years) and 30 with RBD (mean age 54.1±11.1 years) were enrolled. The patients with RBD had higher gait score (P < 0.05), higher HAM-A (P = 0.02), and higher ESS score (P < 0.001) as compared to patients without RBD. Patients with RBD had a mean MMSE score of 26.87±2.31 (range: 23–30), and in patients, without RBD it was 27.98±2.33 (range: 23–30;. P = 0.005). There was no difference in features as olfactory dysfunction, rigidity score, blink rate, tremors, stooped stance, and postural instability in the two groups. However, palmomental reflex was present in 63.3% of patients with RBD and only 34.9% with non-RBD (P = 0.007). CONCLUSIONS: Patients with PD with RBD have a significant presence of palmomental reflex that can be a useful clinical marker.

Radiation safety protocol in dentistry: A neglected practice

Aim: The ready availability of radiodiagnostic aids has led to its overuse in dental practice. In addition, failure to reinforce the radiation safety procedures has unknowingly resulted in the negligence of the as low as reasonably achievable (ALARA) principles among many dentists. Apart from patients, the dentists and dental assistants are being exposed to radiation in the clinics during regular practice. The current survey was designed to assess the awareness, concern, and practice of radiation protection in general dental practice. Materials and Methods: The survey consisted of 86 dentists in Bangalore city. A cross-sectional self-administered questionnaire consisting of a total of 31 items was used. The obtained data were compiled and analyzed using the Statistical Package for the Social Sciences version 20.0 software (IBM Corporation, New York, United States). Results: All the dentists responded in the study (100%); the participants had limited knowledge regarding the radiation equipment. Majority of the participants were using rounded collimator (96.5%) and short cone (61.6%). E-speed film was used by most of the dentists (90.7%). Bisecting angle technique was preferred by most of the practitioners (69.8%) for making periapical radiographs. Only 20.9% of the dentists made their patients wear lead apron during X-ray exposure. None of them were using thyroid collar. Most of the dentists practiced at a safe distance of 6 ft from the X-ray tube, whereas 10.5% of the dentists assisted holding the radiographic receptor beside the patient. Radiation monitoring was performed by only 20% of the practitioners. Conclusion: The knowledge and practice of radiation protection were not satisfactory. Repeated reinforcement in the form of continued dental education program is necessary, and, most importantly, change in the attitude of the dentist to follow ALARA should be advocated.

The biased pattern of global outsourcing

In this paper, we examine the relationship between service offshoring and overall wage inequality in the U.S. labor market. Using data from CPS, EU KLEMS, and WIOD, we find that service offshoring shows a biased pattern on wage inequality in that it would affect largely a certain class who work in the service sector, not all sectors. Specifically, service offshoring would enlarge both the 90/10 and 90/50 wage gaps in the service sector. This implies that it can substitute in part for the middle-skill group in the service sector, reducing the relative skill premium of the corresponding workers

Productivity of nursing faculty in selected nursing institutes, Bangalore, Karnataka

Productivity of nursing faculty in selected nursing institutes, Bangalore, Karnataka

Association between clinical and subjective oral health status among schoolgoing children in South Bengaluru

Introduction: A number of self-report measures have been developed that assess the subjective health status such as dental neglect; dental anxiety and oral health related quality of life. Aim: To access the association between clinical and subjective oral health status among school going children in south Bangalore. Methods: 300 completed questionnaires designed to measure oral health indicators were collected from both children (6-10 yrs) and parents. Caries was assessed using dmft index. Result: Out of 300 children examined 55.3% - girls 44.7% - boys. Children with infrequent brushing had more caries. 28% of parents monitored their children while 42% brushed on their own. More than half of the parents and children thought it was necessary to visit dentist frequently and oral health would affect general health. Conclusion: In our study dental self-report items showed high level concordance between child and parents and was found to be clinically valid.

多计算中心作业迁移系统JMS的设计与实现

多计算中心作业迁移系统JMS的设计与实现

Real-Time Multiprocessor Scheduling Algorithm Based on Information Theory Principles

Reducing job migrations is essential for any global multiprocessor scheduling algorithm. In this letter, we present a global, dynamic-priority, laxity-based algorithm that reduces the number of migrations on multiprocessor embedded systems by leveraging information theory principles. A simplification of the proposed scheduling theory is presented to reduce the overhead caused by using information theory. Our results show that the proposed algorithm is able to reduce the number of migrations by up to 41.21% when compared with other global, dynamic-priority, laxity-based algorithms. As the utilization per task set and the number of processors increase, simplified information-theoretic scheduling algorithm is able to improve its performance in terms of the number of migrations.

Reducing the number of response time service level objective violations by a cloud‐HPC convergence scheduler

SummaryJob scheduling is an old topic in High‐Performance Computing (HPC), and it is more and more studied in data centers. Large data centers are often split into separate partitions for cloud computing and HPC; each partition normally has its specific scheduler. The possibility of migrating jobs from the HPC partition to the cloud one is a topic widely discussed in the literature. However, job migration from cloud to HPC is a much less explored topic. Nevertheless, such migration may be useful in many situations, in particular when the HPC platform has a low resource usage level, and the cloud usage level is high. A large number of jobs that could migrate from the cloud to the HPC partition may be observed in Google data center workloads. Job scheduling using overbooking strategy is seen as the main reason for the high resource usage level in clouds. However, overbooking can lead to a high rate of rescheduling and job dumping, which potentially causes response time violations. This work shows that HPC platforms can host and execute some cloud jobs with low interference in HPC jobs and a low number of response time violations. We introduce the definition of a cloud‐HPC convergence area and propose a job scheduling strategy for it, aiming at reducing the number of response time violations of cloud jobs without interfering with HPC jobs execution. Our proposal is formally defined and then evaluated in different execution scenarios, using the SimGrid simulation framework, with workload data from production HPC grid. The experimental results show that often, there is a large number of empty areas in the scheduling plan of HPC platforms, which makes it possible to allocate cloud jobs by backfilling. This is due to the sparse HPC job submission pattern and the low resource usage level in some HPC platforms. One performed simulation scenario considered a set of 11K parallel HPC jobs running on a 2560‐processor platform having an average resource usage level of 38.0%. The proposed convergence scheduler succeeded to inject around 267K cloud jobs in the HPC platform, with a response time violation rate under 0.00094% for such jobs, considering 80 processors in the convergence area and no effects on the HPC workload. This experiment considered cloud jobs based on job features of Google public cloud workloads, with a processing time slack factor of 1.25 (which is considered as high priority in the Google cloud SLA—Service Level Agreement). Usually, most cloud jobs show a slack factor higher than 1.25 (most cloud jobs are medium or low priority). The same simulation, repeated with a higher slack factor (4), showed no response time violations.

An Efficient Algorithm for Server Thermal Fault Diagnosis Based on Infrared Image

It is essential for a data center to maintain server security and stability. Long-time overload operation or high room temperature may cause service disruption even a server crash, which would result in great economic loss for business. Currently, the methods to avoid server outages are monitoring and forecasting. Thermal camera can provide fine texture information for monitoring and intelligent thermal management in large data center. This paper presents an efficient method for server thermal fault monitoring and diagnosis based on infrared image. Initially thermal distribution of server is standardized and the interest regions of the image are segmented manually. Then the texture feature, Hu moments feature as well as modified entropy feature are extracted from the segmented regions. These characteristics are applied to analyze and classify thermal faults, and then make efficient energy-saving thermal management decisions such as job migration. For the larger feature space, the principal component analysis is employed to reduce the feature dimensions, and guarantee high processing speed without losing the fault feature information. Finally, different feature vectors are taken as input for SVM training, and do the thermal fault diagnosis after getting the optimized SVM classifier. This method supports suggestions for optimizing data center management, it can improve air conditioning efficiency and reduce the energy consumption of the data center. The experimental results show that the maximum detection accuracy is 81.5%.

Scheduling on power-heterogeneous processors

We consider the problem of scheduling a set of jobs, each one specified by its release date, its deadline and its processing volume, on a set of heterogeneous speed-scalable processors, where the energy-consumption rate is processor-dependent. Our objective is to minimize the total energy consumption when both the preemption and the migration of jobs are allowed. We propose a new algorithm based on a compact linear programming formulation. Our method approaches the value of the optimal solution within any desired accuracy for a large set of continuous power functions. Furthermore, we develop a faster combinatorial algorithm based on flows for standard power functions and jobs whose density is lower bounded by a small constant. Finally, we extend and analyze the AVerage Rate (AVR) online algorithm in the heterogeneous setting.

Self-Esteem and Social Anxiety in Adolescent Students

The present study is aimed to investigate the relationship and gender differences between self-esteem and social anxiety in adolescent students. The sample consists of 200 adolescent students (100 males, 100 females) in the age range of 16 to 18 years, taken from various colleges in Bangalore City Rosenberg Self-esteem scale (Rosenberg, 1965) and Social Phobia inventory (Conner et al., 2000) were applied to access self-esteem and social anxiety of participants. Statistical analysis was done through SPSS, Pearson product-moment correlation co-efficient and independent sample t-test was applied for evaluation of results. Results indicates that self-esteem is negatively correlated with social anxiety in adolescent students. The findings of result also showed the self-esteem scores of the male adolescents is not higher or lower than that of the female adolescents.

Haitian ctxB producing Vibrio cholerae in Karnataka, India: Emphasis on molecular epidemiology and laboratory networking system

Cholera, a primeval waterborne, severe dehydrating diarrheal disease, caused by V.cholerae , with a considerable health burden especially in developing countries. Due to lack of laboratory based evidences of an etiological agent many outbreaks are recorded as diarrhea outbreaks and cholera as well as V.cholerae El Tor biotype may remain unrecognized. The present report is an effort to trace the circulating strain in the community with the support of laboratory networking system and the aid of molecular techniques in epidemiology. Under Integrated Disease Surveillance Programme [IDSP], Dept of Microbiology Bangalore Medical College and Research Institute is recognized as a state referral laboratory for investigation of outbreaks in linked districts .In the month of July 2016 a total of 06 representative stool samples randomly collected in Cary Blair media from suspected cases of cholera were received for isolation and identification of etiological agent. All stool specimens were processed according to standard protocol and V.cholerae isolates were sent to National Institute for Cholera and Enteric Diseases [NICED] for molecular characterization. V. cholerae was isolated from 05 out of 06 samples tested. Serological tests revealed that all 05 isolates belonged to V.cholerae strain O1 serotype Ogawa. PCR based study from NICED confirmed all the V.cholerae strains contain Haitian ctxB. This molecular epidemiological study under the laboratory networking system revealed the circulation of Haitian variants of V.cholerae in some regions of Karnataka. Since the mortality and morbidity is high with Haitian genotypes than the El tor biotype coordinated and vigilant monitoring of V.cholerae is essential.

Coach migration in German high performance sport

ABSTRACTResearch question: This study advances two research questions: what factors affect emigration, immigration, and job migration of high performance coaches? And how does the push–pull framework apply to coach migration in high performance sport? The focus of the examination is on less commercialized and publicly funded sports in Germany.Research methods: High performance coaches who have been employed in Germany between 2000 and 2016 were surveyed online and asked about their job history. Based on this information, a coach-year panel was created (n = 2586) and the determinants of coach migration were analyzed using probit models.Results and findings: Higher income represented a significant pull factor for emigration, while having school-age children and being a former high performance athlete were retention factors. Immigrated coaches earned significantly less in Germany. Higher income and a permanent contract were significant pull factors for job migration, while a sport science degree was a push factor. Particularly qualified and successful coaches migrated to non-coaching jobs during the observed period.Implications: The findings imply that not only coach emigration, but also job migration should be of concern to policy-makers. To reduce coach emigration and job migration, the working conditions of high performance coaches need to be reconsidered.

Comparative study of fine needle aspiration cytology, trucut biopsy and final histopathological examination in breast lumps

Background: A lump in the breast results in anxiety for the patient and her family whether benign or malignant. Histological tissue diagnosis is a universally accepted means of definitive diagnosis of a breast lump. FNAC gives a rapid diagnosis and can be carried out in outpatient services with minimal trauma. Hence FNAC is gaining wide acceptance. Trucut biopsy is a safe method for a histological diagnosis, in operable breast cancer cases and a reliable technique to assess hormone receptor status. The trucut needle is a very handy instrument and it is now replacing the incision or excision biopsy. Aim: To find out the diagnostic accuracy of FNAC and trucut biopsy as compared to the final histopathological report in breast lumps. To compare diagnostic accuracy of FNAC and trucut biopsy in differentiating the benign and malignant lesions of palpable breast lumps. Methodology: This is a prospective study which included 70 patients having breast lump were subjected to FNAC and Trucut biopsy in Victoria hospital, Bangalore between October1, 2015 to September30, 2016 and were compared to final tissue diagnosis after subsequent admission and treatment. Various factors like age, size, duration, marital status, menstrual status and site were studied during statistical analysis. Results: There were 70 patients who presented with breast lump during the study period. Out of a total 70 breast lump study, final diagnosis was 36 benign breast lump and 34 malignant breast lumps. Sensitivity of FNAC and TRUCUT biopsy were 86.84% and 97.14% respectively. While TRUCUT was more accurate when compared to FNAC.

A study on the prevalence of Gestational Diabetes Mellitus in rural and urban women of Bangalore, India

Introduction: As India has become diabetic hub of the world, we made an attempt to know the prevalence of GDM at Akash Institute of Medical Sciences and Research Centre (AIMS & RC), Devanahalli, which is a tertiary care center in rural setup. Materials and methods: 500 antenatal women were included in the study. 75gms OGTT was performed during 24- 28 weeks of pregnancy and results were interpreted according to ADA criteria. Socio demographic features and metabolic characteristics, family h/o DM, GDM hypertension was noted and statistically analyzed. Results: The prevalence of GDM in our study was 8.5%. GDM was statistically significant in high income group, with high BMI and with presence of acanthosis nigricans . Conclusion: Universal screening of all antenatal women is mandatory as prevalence of GDM is increasing in India. Awareness regarding diet like intake of millets, vegetables, fruits high protein diet and physical activity, yoga, exercise needs to be popularized among people through media, NGOs, educational institutions.

C. V. Vishveshwara (1938–2017)

C. V. Vishveshwara (Vishu) is associated to most of us with quasi-normal modes or the ringdown of a black hole. The prediction that his simple calculations made was dramatically verified after 46 years with the discovery of gravitational waves by LIGO, which was almost a year before he breathed his last on 16 January 2017 in Bengaluru. It was, therefore, most fortuitous that he could experience the exhilaration and satisfaction of his contribution when the whole world was cheering and applauding. Vishu will be remembered for a long time not only for his seminal contributions to understanding black holes, but also fondly for the word pictures and the Sydney Harris-like cartoons he created to share with his professional colleagues and the lay public the esoteric consequences of Einstein's general theory of relativity. His talks inspired generations of students to a career in science, and through the activities at the Jawaharlal Nehru Planetarium, Bengaluru and the Bangalore Association for Science Education (BASE) the inspiration lives on.