1,750,811 research outputs found
The internal consistency reliability of the Santosh-Francis scale of attitude toward Hinduism among Balinese Hindus
No full textThe present paper intends to make a contribution to the empirical psychology of religion among Hindus. The Santosh-Francis Scale of Attitude toward Hinduism was originally developed and tested among Hindu affiliates living in the United Kingdom and subsequently tested among Hindu affiliates from the Bunt caste in South India. In the present study this instrument was completed by 309 Balinese Hindus (159 males and 150 females). The data support the internal construct reliability of the scale in this context (α = .83) and commend the instrument for wider application for research in the field of the psychology of religion within the Hindu community
The internal consistency reliability of the Santosh-Francis Scale of Attitude toward Hinduism among Hindu Bunts in South India
No full textThe Santosh-Francis Scale of Attitude toward Hinduism was originally developed and tested among Hindu affiliates living in the United Kingdom. In the present study this instrument was completed by 100 Hindu affiliates from the Bunt caste in South India (48 males and 52 females). The data support the internal construct reliability of the scale in this context (α = .91) and commend the instrument for wider application within the Hindu community
Supplement Mandava Santosh Kent_Neurology_align_with_proof
No full textSupplement Mandava Santosh Kent_Neurology_align_with_proo
Cover Photos: Photomicrograph of the ciliate Gonostomum paronense from Italian soil after protargol impregnation (from the article: Daizy Bharti, Santosh Kumar & Antonietta La Terza" Two Gonostomatid Ciliates from the Soil of Lombardia, Italy; including Note on the Soil Mapping Project" Journal of Eukaryotic Microbiology, Volume 62, Issue 6, November/December 2015, Pages 762-772, doi:10.1111/jeu.12234
No full textCover Photos: Photomicrograph of the ciliate Gonostomum paronense from Italian soil after protargol impregnation (from the article: Daizy Bharti, Santosh Kumar & Antonietta La Terza" Two Gonostomatid Ciliates from the Soil of Lombardia, Italy; including Note on the Soil Mapping Project" Journal of Eukaryotic Microbiology, Volume 62, Issue 6, November/December 2015, Pages 762-772, doi:10.1111/jeu.1223
Replication Data for: "Understanding the Advice of Commissions-Motivated Agents: Evidence from the Indian Life Insurance Market"
No full textAnagol, Santosh, Cole, Shawn, and Sarkar, Shayak, (2017) "Understanding the Advice of Commissions-Motivated Agents: Evidence from the Indian Life Insurance Market." Review of Economics and Statistics 99:1, 1-15
Replication Data for: Improving Child Health and Cognition: Evidence from a School-Based Nutrition Intervention in India
No full textKrämer, Marion, Kumar, Santosh, and Vollmer, Sebastian, (2021) “Improving Child Health and Cognition: Evidence from a School-Based Nutrition Intervention in India.” Review of Economics and Statistics 103:5, 818–834
Religion and mental health among Hindu young people in England
No full textThe aim of this study was to explore the relationship between mental health and attitude toward their religious tradition among a sample of 330 young people attending the Hindu Youth Festival in London. The participants completed the Santosh-Francis Scale of Attitude toward Hinduism together with the abbreviated form of the Revised Eysenck Personality Questionnaire which provides measures of neuroticism and psychoticism. The data indicated that a more positive attitude toward Hinduism was associated with lower psychoticism scores but unrelated to neuroticism scores. There is no evidence, therefore, to associate higher levels of religiosity with poorer mental health among young people within the Hindu community
A novel approach to generate correctly rounded math libraries for new floating point representations
No full textGiven the importance of floating-point~(FP) performance in numerous domains, several new variants of FP and its alternatives have been proposed (e.g., Bfloat16, TensorFloat32, and Posits). These representations do not have correctly rounded math libraries. Further, the use of existing FP libraries for these new representations can produce incorrect results. This paper proposes a novel methodology for generating polynomial approximations that can be used to implement correctly rounded math libraries. Existing methods produce polynomials that approximate the real value of an elementary function f(x) and experience wrong results due to errors in the approximation and due to rounding errors in the implementation. In contrast, our approach generates polynomials that approximate the correctly rounded value of f(x) (i.e., the value of f(x) rounded to the target representation). This methodology provides more margin to identify efficient polynomials that produce correctly rounded results for all inputs. We frame the problem of generating efficient polynomials that produce correctly rounded results as a linear programming problem. Our approach guarantees that we produce the correct result even with range reduction techniques. Using our approach, we have developed correctly rounded, yet faster, implementations of elementary functions for multiple target representations. Our Bfloat16 library is 2.3× faster than the corresponding state-of-the-art while producing correct results for all inputs.Peer reviewedTecnical Report DCS-TR-75
Crustal reworking in the North China Craton at ∼2.5Ga: evidence from zircon U-Pb age, Hf isotope and whole rock geochemistry of the felsic volcano-sedimentary rocks from the western Shandong Province
No full textAbstract not availableWei Wang, Minggou Zhai, Shijin Wang, M. Santosh, Lilin Du, Hangqiang Xie, Bin Lv, and Yusheng Wa
A novel approach to generate correctly rounded math libraries for new floating point representations
No full textGiven the importance of floating-point~(FP) performance in numerous domains, several new variants of FP and its alternatives have been proposed (e.g., Bfloat16, TensorFloat32, and Posits). These representations do not have correctly rounded math libraries. Further, the use of existing FP libraries for these new representations can produce incorrect results. This paper proposes a novel approach for generating polynomial approximations that can be used to implement correctly rounded math libraries. Existing methods generate polynomials that approximate the real value of an elementary function and produce wrong results due to approximation errors and rounding errors in the implementation. In contrast, our approach generates polynomials that approximate the correctly rounded value of (i.e., the value of rounded to the target representation). It provides more margin to identify efficient polynomials that produce correctly rounded results for all inputs. We frame the problem of generating efficient polynomials that produce correctly rounded results as a linear programming problem. Our approach guarantees that we produce the correct result even with range reduction techniques. Using our approach, we have developed correctly rounded, yet faster, implementations of elementary functions for multiple target representations.This is an updated version of the Rutgers DCS-TR-753Tecnical Report DCS-TR-753Peer reviewe
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