Open set learning with augmented category by exploiting unlabelled data (open-LACU)

Considering the nature of unlabelled data, it is common for partially labelled training datasets to contain samples that belong to novel categories. Although these so-called observed novel categories exist in the training data, they do not belong to any of the training labels. In contrast, open-sets define novel categories as those unobserved during during training, but present during testing. This research is the first to generalize between observed and unobserved novel categories within a new learning policy called open-set learning with augmented category by exploiting unlabeled data or open-LACU. This study conducts a high-level review on novelty detection so to differentiate between research fields that concern observed novel categories, and the research fields that concern unobserved novel categories. Open-LACU is then introduced as a synthesis of the relevant fields to maintain the advantages of each within a single learning policy. Currently, we are finalising the first open-LACU network which will be combined with this pre-print to be sent for publication.Comment: 11 Page

917-100 8-Epi-Prostaglandin F2α(8-Isoprostane), a Novel Marker of Lipid Peroxidation, is Elevated and Inversely Correlated to Serum Antioxidant Vitamins in Smokers

Oxidative modification of lipoproteins is thought to be an essential event in atherosclerosis. Current methods of quantifying lipid peroxidation in vivo are technically difficult and/or nonspecific. A simple, clinically reliable test is needed to assess an individual's degree of lipid peroxidation which could be a powerful predictor of cardiovascular disease risk. 8-lsoprostane is a chemically stable prostanoid resulting from free radical catalyzed peroxidation of arachidonic acid. This molecule is produced by oxidation of low density lipoprotein and is present in both plasma and urine. To evaluate this novel marker of in vivo lipid peroxidation, we compared 24 hour urinary levels of 8-isoprostane in healthy smokers (n=15) and nonsmokers (n=9) with a competitive enzyme immunoassay. Serum was also obtained for analysis of lipid and antioxidant vitamin levels. Smokers were found to have higher levels of urinary 8-isoprostane than nonsmokers and these levels were inversely correlated with serum beta carotene (P=0.04, r=-0.44) and vitamin C (P=0.01, r=-0.52). No significant differences were detected in lipid profiles between smokers and nonsmokers.8-lsoprostaneMean ± SEMP-ValueNonsmokers1.55±0.22P=0.002Smokers2.77±0.21Values=μg/24 hoursConclusionUrinary 8-isoprostane is elevated in smokers and may provide a sensitive, specific and noninvasive method for assessment of in vivo lipid peroxidation. Further studies are indicated to determine whether elevated 8-isoprostane identifies individuals at risk for developing atherosclerosis

Orienting Future Trends in Local Ancestry Deconvolution Models to Optimally Decipher Admixed Individual Genome Variations

Rapid advances in sequencing and genotyping technologies have significantly contributed to shaping the area of medical and population genetics. Several thousand genomes are completed with millions of variants identified in the human deoxyribonucleic acid (DNA) sequences. These genomic variations highly influence changes in phenotypic manifestations and physiological functions of different individuals or population groups. Of particular importance are variations introduced by admixture event, contributing significantly to a remarkable phenotypic variability with medical and/or evolutionary implications. In this case, knowledge of local ancestry estimates and date of admixture is of utmost importance for a better understanding of genomic variation patterns throughout modern human evolution and adaptive processes. In this chapter, we survey existing local ancestry deconvolution and dating admixture event models to identify possible gaps that still need to be filled and orient future trends in designing more effective models, which account for current challenges and produce more accurate and biological relevant estimates

PERANCANGAN SISTEM INFORMASI PENGELOLAAN E – BOOKING BIRO PERJALANAN PARIWISATA BERBASIS MOBILE APLIKASI (Studi Kasus: NATA TOURS)

Sistem informasi pemesanan atau penjualan terutama pada bagian booking untuk paket tour di nata tour masih menggunakan cara dimana pelanggan dating dengan melakukan proses pendaftaran serta pembayaran secara manual dengan dating ke tempat nata tours terdekat. Terlebih lagi sebagian pembeli kurang jelas dalam mendapatkan informasi detail jika menanyakan paket tour melalui telepon. Padahal pembeli ingin secepatnya mengetahui informasi detail untuk melakukan transaksi reservasi paket tour tanpa harus dating langsung melihat data dan informasi ke tempat. Penelitian ini dilakukan untuk merancang sistem informasi dan pengelolaan E – Booking Biro Perjalanan Pariwisata Berbasis Mobile Aplikasi di Nata Tour Bandung. Perancangan Sistem Informasi ini dilakukan dengan metode SSADM (Structure System Analyst and Design Method) dan WSF (Work System Framework). Dengan berfokus diperancangan tentang layanan informasi, transaksi tiket paket tour dan pembuatan laporan. Hasil dari penelitian ini adalah perancangan yang dapat memesan dan membeli tiket paket tour melalui E – Booking Mobile Aplikasi. Dan memberikan kemudahan untuk wisatawan saat memesan dan meningkatkan daya saing antar biro perjalanan pariwisata lain. Kata kunci: Sistem Informasi, biro perjalanan pariwisata, ssadm, Wsf

Localizing Pain Matrix and Theory of Mind networks with both verbal and non-verbal stimuli

Functional localizer tasks allow researchers to identify brain regions in each individual's brain, using a combination of anatomical and functional constraints. In this study, we compare three social cognitive localizer tasks, designed to efficiently identify regions in the "Pain Matrix," recruited in response to a person's physical pain, and the "Theory of Mind network," recruited in response to a person's mental states (i.e. beliefs and emotions). Participants performed three tasks: first, the verbal false-belief stories task; second, a verbal task including stories describing physical pain versus emotional suffering; and third, passively viewing a non-verbal animated movie, which included segments depicting physical pain and beliefs and emotions. All three localizers were efficient in identifying replicable, stable networks in individual subjects. The consistency across tasks makes all three tasks viable localizers. Nevertheless, there were small reliable differences in the location of the regions and the pattern of activity within regions, hinting at more specific representations. The new localizers go beyond those currently available: first, they simultaneously identify two functional networks with no additional scan time, and second, the non-verbal task extends the populations in whom functional localizers can be applied. These localizers will be made publicly available.National Institutes of Health (U.S.) (Grant 1R01 MH096914-01A1

Individual Characteristics That Promote or Prevent Psychological Safety and Error Reporting in Healthcare: A Systematic Review.

BACKGROUND: Healthcare errors continue to be a safety issue and an economic burden that causes death, increased length of stays, and emotional trauma to families and the person who commits the error.  Speaking up and error reporting within a safety culture can reduce the incidence of error; however, this is complex and multifaceted. AIM: This systematic review investigates individual characteristics that support or prevent speaking up behaviors when adverse events occur.  This study further explores how organizational interventions designed to promote error reporting correlate to individual characteristics and perceptions of psychological safety.  . METHODS: A systematic review of peer-reviewed articles in healthcare that contain characteristics of an individual that promote or prevent error reporting was conducted. The search yielded 1233 articles published from 2015 to 2021. From this set, 81 full-text articles were assessed for eligibility and ultimately extracted data from 28 articles evaluated for quality using Joanna Briggs Institute critical appraisal tools©. PRINCIPAL FINDINGS: The primary themes for individual character traits, values, and beliefs that influence a person\u27s decision to speak up/report an error include self-confidence and positive perceptions of self, the organization, and leadership. Education, experience and knowledge are sub themes that relate to confidence. The primary individual characteristics that serve as barriers are 1) self-preservation associated with fear and 2) negative perceptions of self, the organization, and leadership. CONCLUSION: The results show that an individual\u27s perception of their environment, whether or not it is psychologically safe, may be impacted by personal perceptions that stem from deep-seated personal values. This exposes a crucial need to explore cultural and diversity aspects of healthcare error reporting and how to individualize interventions to reduce fear and promote error reporting