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1,778 result(s) for "innovative study"
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Research Perspectives: The Quest for Innovation in Information Systems Research: Recognizing, Stimulating, and Promoting Novel and Useful Knowledge
Research in information systems (IS) is often challenged during the review process with “what’s new” and the “so what” questions. While we believe that there is innovation in IS research, constituents in the field do not have a good or at least consistent understanding of what this entails. This creates a problem for editors, authors, and reviewers in assessing how innovative a study is or what aspects of the work are indeed innovative. This paper is a response to this concern that takes on the challenging task of recognizing innovation in IS research. At the most basic level, we offer a structure that examines a variety of ways that innovation may be manifested in our research output. We describe, illustrate, and discuss the challenges of using our categories of innovative research. We hope that such identification can stimulate and expand our capacity to generate innovative research and to recognize (and promote) it when it is forthcoming.
Awareness of Vitamin and mineral supplements among college students
A Vitamin or mineral supplement is a kind of adjunct that aims to supplement the diet and it comprises a wide range of Vitamins, minerals, herbs, etc., that amplifies different nutrient levels. People intake such supplements for protection against health illnesses such as stress, cold, flu, osteoporosis, heart attacks, tooth decay, cancer, and neural tube defects in infants, etc. Anyhow, intake of large amounts without proper medical consideration can have severe negative consequences. This study aimed to assess the awareness on Vitamin and mineral supplements among College students. An online cross-sectional questionnaire was made using Google Forms and distributed among 100 College students. The data collected were analyzed using SPSS software. Descriptive analysis and Chi-square tests were done. Results showed that the majority of 63.43% of UG students and 21.64% of PG students believed that its consumption was beneficial and in general awareness was more among UG students. When asked about the Vitamin that should be avoided during pregnancy, a majority of 20.30% of UG students opted for Vitamin E and 7.52% of PG students opted for Vitamin A which shows that both were feasible options as they were fat-soluble vitamins capable of causing congenital defects. The most probable issue related with the use of dietary supplements is that the people who include them in their diet might see it as a substitute, in lieu of a supplement, thus, more people should be made aware of the proper consumption and side effects of Vitamin and mineral supplements.
Fault lines
Earth's fractured geology is visible in its fault lines. It is along these lines that earthquakes occur, sometimes with disastrous effects. These disturbances can significantly influence urban development, as seen in the aftermath of two earthquakes in Messina, Italy, in 1908 and in the Belice Valley, Sicily, in 1968. Following the history of these places before and after their destruction, this book explores plans and developments that preceded the disasters and the urbanism that emerged from the ruins. These stories explore fault lines between \"rural\" and \"urban,\" \"backwardness\" and \"development,\" and \"before\" and \"after,\" shedding light on the role of environmental forces in the history of human habitats.
Organic cinema
The \"organic\" is by now a venerable concept within aesthetics, architecture, and art history, but what might such a term mean within the spatialities and temporalities of film? By way of an answer, this concise and innovative study locates organicity in the work of Béla Tarr, the renowned Hungarian filmmaker and pioneer of the \"slow cinema\" movement. Through a wholly original analysis of the long take and other signature features of Tarr's work, author Thorsten Botz-Bornstein establishes compelling links between the seemingly remote spheres of film and architecture, revealing shared organic principles that emphasize the transcendence of boundaries.
Performance evaluation of a new prognostic‐efficacy‐combination design in the context of telemedical interventions
Aims Telemedical interventions in heart failure patients intend to avoid unfavourable, indication‐related events by an early, individualized care, which reacts to the current patients need. However, telemedical support is an expensive intervention, and usually only patients with high risk for unfavourable follow‐up events will be able to profit from it. Möckel et al. therefore adapted a new design which we call ‘prognostic‐efficacy‐combination design’. This design allows to define a biomarker cut‐off and to perform a randomized controlled trial (RCT) in a biomarker‐selected population within a single study. However, so far, it has not been evaluated if this double use of the control group for biomarker cut‐off definition and efficacy assessment within the RCT leads to a bias in treatment effect estimation. In this methodological research work, we therefore want to evaluate whether the ‘prognostic‐efficacy‐combination design’ leads to biased treatment effect estimates and also compare it to alternative designs. If there is a bias, we further want to analyse its magnitude under different parameter settings. Methods We perform a systematic Monte Carlo simulation study to investigate among others potential bias, root mean square error and sensitivity, and specificity as well as the total treatment effect estimate in various realistic trial scenarios that mimic and vary the true data characteristics of the published TIM‐HF2 Trial. In particular, we vary the event proportion, the sample size, the biomarker distribution, and the lower bound for the sensitivity. Results The results show that indeed the proposed design leads to some bias in the effect estimators, indicating an overestimation of the effect. However, this bias is relatively small in most scenarios. Conclusions The ‘prognostic‐efficacy‐combination design’ can generally be recommended for clinical applications due to its efficiency compared to two separate trials. We recommend a sufficiently large sample size depending on the trial scenario. Our simulation code can be adapted to explore suitable sample sizes for other settings.
Multiple-criteria decision analysis process by using prospect decision theory in interval-valued neutrosophic environment
This study intends to present an innovative study for ranking the alternatives in multiple-criteria decision analysis (MCDA) problems under the interval-valued neutrosophic soft set (IVNSS) environment. In this study, to illustrate the notion of objective and subjective weight, the prospect decision theory (PDT) performs an imperative role in determining decision-making problems. PDT predicts human behaviour in terms of gains and losses and considers the expected utility relation to a reference point rather than complete outcomes. In the analysis of merged criteria weight and the prospect decision-making matrix, the authors get a new dimension level for ranking the array of alternatives. This manuscript provides an improved score function (SF) to convert the interval-valued membership grades of truth, indeterminacy and falsity into a mathematical and computational value. The advantage of this method is that it merges the objective and subjective weight during the proposed method. They propose an algorithm based on the SF to determine MCDA problems with IVNSSs. They illustrate a case study and provide various comparative analyses to show its significance over existing studies.
Establishing and Evaluating an ASCO Learning Cohort: a Longitudinal Project Assessing the Learning Needs and Behaviors of Oncology Professionals
Background:In 2013, the American Society of Clinical Oncology (ASCO)’s Continuing Education Committee recommended establishing an interprofessional, longitudinal cohort pilot project. The main goals of the cohort were to gain feedback from oncology providers on how they use resources to address their learning needs and gain insights into the utility of different ASCO educational activities.Methods:The ASCO Learning Cohort Pilot Project included 49 ASCO members that were representative of the overall Society membership demographics and ran from November 2015 through August 2016. Participants documented monthly learning needs and completed monthly feedback activities focused on specific ASCO educational resources.Results:The Learning Cohort Pilot Project proved a viable and innovative cohort model for analyzing the learning process for oncology healthcare professionals. The development, operations, and compliance required unique infrastructure to accomplish this project. Relationships between participant demographic variables and learning preferences are reported elsewhere.Conclusion:The ASCO Learning Cohort Project is a unique educational project that demonstrated feasibility and has met its goals. This paper outlines the processes of establishing a learning cohort, including participant selection, project design, and participant feedback. We evaluate the project model as a means to better understand the learning needs and behaviors of oncology healthcare professionals.
Stature estimation using the odontometric measurements of the maxilla
Stature is the height of an individual in an upright position. It is one of the key characteristics, which helps in defining any individual. Stature estimation is needed mostly in medicolegal cases where only a limited number of human fragments are left for forensic analysis. The teeth provide essential measurements that can be used to determine stature. The aim of the study is to find out whether the second maxillary interpremolar distance can be used to effectively estimate stature of individuals. For the study, the sample size taken was 60 (30 male and 30 females), and their second maxillary interpremolar distance was measured using a digital vernier caliper. The collected data were tabulated and statistical analysis was done using SPSS software (23), followed by linear regression. For male: Y = 178.65 − 1.09X, correlation coefficient, r = 0.05, For female: Y = 169.30 − 1.99X, correlation coefficient, r = 0.13. Since r < 0.2, there is no correlation between the interpremolar distance of the second maxillary premolar and the stature. From our study, we conclude that the interpremolar distance of the second maxillary premolar cannot be a reliable parameter for stature estimation in both genders.
Birth Order and Family Size of UK Biobank Subjects Identified as Asexual, Bisexual, Heterosexual, or Homosexual According to Self-Reported Sexual Histories
This study used a recently developed statistical technique to investigate the relations between various elements of a subject’s family background and the odds of that subject reporting a sexual history indicative of a minority sexual orientation. The subjects were 78,983 men and 92,150 women who completed relevant questionnaire items in the UK Biobank, a large-scale biomedical database of volunteers aged 40–69 years. The men were divided into three sexual minority groups—homosexual, bisexual, and asexual—and a comparison group of heterosexual men. The same was done for the women. The analytic procedure consisted of logistic regressions specifically designed to disentangle the effects of birth order and family size. The results showed that older brothers increased the odds of homosexuality in both men and women, and that older sisters increased the odds in men. In contrast, neither older brothers or older sisters affected the odds of bisexuality or asexuality in men or in women. These results suggest that birth order effects may be specific to homosexuality and not common to all minority orientations. The only family size finding was the negative association between family size and the odds of asexuality in both men and women. The outcomes of this study indicate that the maternal immune hypothesis, which was advanced to explain the relation between older brothers and homosexuality in later-born males, might have to be abandoned or else expanded to explain the findings concerning females. A few such modifications are considered.
Asexuality: Its Relationship to Sibling Sex Composition and Birth Order
While recent research has advanced our understanding of asexuality, very little effort has been devoted to examining biomarkers and possible prenatal correlates of asexuality. In response, we recruited a large international sample ( N  = 1634 women and men) to explore associations between sibling composition and asexual sexual orientation ( n  = 366) and to replicate previously reported sibship effects in individuals with a same-sex attracted orientation ( n  = 276) and bisexual sexual orientation ( n  = 267) compared to heterosexual individuals ( n  = 725). Our analyses used two of the most recent statistical approaches that attempt to disentangle older sibling effects from family size effects (Ablaza et al., 2022; Khovanova, 2020). We found that higher overall number of siblings (female fecundity effect) predicted higher probability of asexuality in men and having fewer older sisters and being an only-child predicted higher probability of asexuality in women. Regarding the same-sex attracted orientations, higher number of older sisters increased likelihood of being a gay man (sororal birth order effect). Having fewer older sisters was associated with bisexual sexual orientation in women and higher overall number of siblings predicted increased likelihood of bisexuality in men. We did not find a fraternal birth order effect for gay, lesbian, bisexual or asexual groups using the Ablaza et al. (2022) method but the effect was significant for gay men using the Khovanova (2020) analytic approach. These findings point to potential sibship-related contribution to development of asexuality in women and men but future studies will need to replicate these results and articulate potential underlying mechanisms.