433 research outputs found
sj-docx-1-pie-10.1177_09544089231151573 - Supplemental material for Performance augmentation of a solar thermal desalination system using different floating absorber plates
No full textSupplemental material, sj-docx-1-pie-10.1177_09544089231151573 for Performance augmentation of a solar thermal desalination system using different floating absorber plates by Ashish Chandran K., Arun K. Raj and Sujith Kumar C.S. in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
sj-pdf-1-ajs-10.1177_03635465231180323 – Supplemental material for Efficacy and Safety of Stempeucel in Osteoarthritis of the Knee
No full textSupplemental material, sj-pdf-1-ajs-10.1177_03635465231180323 for Efficacy and Safety of Stempeucel in Osteoarthritis of the Knee by Pawan Kumar Gupta, Sunil Maheshwari, Joe Joseph Cherian, Vijay Goni, Arun Kumar Sharma, Sujith Kumar Tripathy, Keerthi Talari, Vivek Pandey, Parag Kantilal Sancheti, Saurabh Singh, Syamasis Bandyopadhyay, Naresh Shetty, Surendra Umesh Kamath, Purohit Sharad Prahaldbhai, Jijy Abraham, Suresh Kannan, Samatha Bhat, Shivashankar Parshuram, Vinayaka Shahavi, Akhilesh Sharma, Nikhil N. Verma and Uday Kumar in The American Journal of Sports Medicine</p
Migrants' Flight Towards Dreams in the Horizon
No full textThis will be a relaxed, performance-based storytelling session led by speakers Arpita Das, Beth Yahp, Sujith Kumar Prankumar, Sukhmani Khorana and Quah Ee Ling. These speakers will share their stories on why they have taken a flight or several flights to pursue their dreams, what post-migration life has been for them and whether their dreams have been fulfilled since arrival
Pesticide applicators questionnaire content validation: a fuzzy delphi method
No full textBackground: The most crucial step in forming a set of
survey questionnaire is deciding the appropriate items in a
construct. Retaining irrelevant items and removing
important items will certainly mislead the direction of a
particular study. This article demonstrates Fuzzy Delphi
method as one of the scientific analysis technique to
consolidate consensus agreement within a panel of experts
pertaining to each item\u27s appropriateness. This method
reduces the ambiguity, diversity, and discrepancy of the
opinions among the experts hence enhances the quality of
the selected items. The main purpose of this study was to
obtain experts\u27 consensus on the suitability of the preselected
items on the questionnaire.
Methods: The panel consists of sixteen experts from the
Occupational and Environmental Health Unit of Ministry of
Health, Vector-borne Disease Control Unit of Ministry of
Health and Occupational and Safety Health Unit of both
public and private universities. A set of questionnaires
related to noise and chemical exposure were compiled
based on the literature search. There was a total of six
constructs with 60 items in which three constructs for
knowledge, attitude, and practice of noise exposure and
three constructs for knowledge, attitude, and practice of
chemical exposure. The validation process replicated
recent Fuzzy Delphi method that using a concept of
Triangular Fuzzy Numbers and Defuzzification process.
Results: A 100% response rate was obtained from all the
sixteen experts with an average Likert scoring of four to five.
Post FDM analysis, the first prerequisite was fulfilled with a
threshold value (d) ? 0.2, hence all the six constructs were
accepted. For the second prerequisite, three items (21%)
from noise-attitude construct and four items (40%) from
chemical-practice construct had expert consensus lesser
than 75%, which giving rise to about 12% from the total
items in the questionnaire. The third prerequisite was used
to rank the items within the constructs by calculating the
average fuzzy numbers. The seven items which did not fulfill
the second prerequisite similarly had lower ranks during the
analysis, therefore those items were discarded from the final
draft.
Conclusion: Post FDM analysis, the experts\u27 consensus on
the suitability of the pre-selected items on the questionnaire set were obtained, hence it is now ready for further
construct validation process
Spent embryo culture medium metabolites are related to the in vitro attachment ability of blastocysts
No full textThe metabolomic profile of an embryo culture medium can aid in the advanced prediction of embryonic developmental potential and genetic integrity. But it is not known if this technology can be used to determine the in vitro potential of inner cell mass (lCM) in adherence and proliferation. Here, we investigated the developmental potential of mouse 2-cell embryos carrying cisplatin-induced DNA lesions (lDL), beyond blastocyst stage using ICM outgrowth assay. The genetic integrity of ICM cells was determined by comet assay. The metabolic signatures of spent medium were recorded 84 hours post injection of hCG (hpi- hCG), and after 96 hours of extended in vitro culture (Ex 96) by NMR spectroscopy. We observed that blastocysts that lack the ability to adhere in vitro had an increased requirement of pyruvate (p < 0.01), lactate (p < 0.01), and were accompanied by a significant reduction of pyruvatealanine ratio in the culture medium. We propose that the aforementioned metabolites from 84 hpi-hCG spent medium be further explored using appropriate experimental models, to prove their potential as biomarkers in the prediction of implantation ability of in vitro derived human embryos in clinical settings
Investigating multi-modal misinformation on transgender and nonbinary issues on Tiktok
No full textUniversity of Minnesota M.S. thesis.August 2025. Major: Computer Science. Advisor: Md Momen Bhuiyan. 1 computer file (PDF); viii, 78 pages.Misinformation targeting the transgender and non-binary (TGNB) community poses serious risks, amplifying stigma, fueling prejudice, and contributing to systemic discrimination. Prior research shows that false narratives around TGNB issues, particularly as they spread on social media, can reinforce harmful stereotypes, influence public opinion and policy, and increase the vulnerability of TGNB individuals to violence and significant mental health challenges. Recognizing this urgent concern, our research investigates the scale, nature, and dissemination patterns of TGNB-related misinformation on TikTok, one of the most influential short-form video platforms today. In this study, we developed a comprehensive multi-modal data pipeline that collects, processes, and analyzes TikTok content directly from the personalized feeds of TGNB individuals. This pipeline integrates video frame extraction, OCR-based text analysis, and metadata harvesting, enabling the construction of a rich dataset that combines both visual and textual content along with engagement metrics and author-level statistics. Utilizing natural language processing techniques including advanced embedding models, clustering, and topic modeling, we identify recurring misinformation themes and characterize how these narratives vary across different content modalities. Beyond content-level analysis, we examine author influence patterns, cluster creators based on multi-modal similarity measures, and map the networks through which misinformation circulates. In addition, survey data collected from TGNB participants provides complementary insights into real-world exposure, personal engagement, perceptions of misinformation, and its potential psychological and social effects. These perception surveys allow us to directly capture participant experiences related to misinformation spread, detection confidence, verification behaviors, emotional impact, and societal consequences. The insights generated from this work aim to advance the academic understanding of multi-modal misinformation while informing the design of targeted mitigation strategies that address the unique challenges faced by marginalized communities such as the TGNB population. This research contributes to building more effective and inclusive misinformation intervention frameworks across diverse social media ecosystems.Nelavala, Stanley Sujith. (2025). Investigating multi-modal misinformation on transgender and nonbinary issues on Tiktok. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/277994
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