Podcasts about discriminant

BUFFALO, NY- January 9, 2024 – A new #research paper was #published in Aging (listed by MEDLINE/PubMed as "Aging (Albany NY)" and "Aging-US" by Web of Science) Volume 15, Issue 24, entitled, “Systemic changes induced by autologous stem cell ovarian transplant in plasma proteome of women with impaired ovarian reserves.” Patients with poor ovarian response (POR) and premature ovarian insufficiency (POI) are challenging to treat, with oocyte donation remaining as the only feasible option to achieve pregnancy in some cases. The Autologous stem cell ovarian transplantation (ASCOT) technique allows follicle development, enabling pregnancies and births of healthy babies in these patients. Previous research suggests that growth factors and cytokines secreted by stem cells are partially responsible for their regenerative properties. Indeed, ASCOT beneficial effects are associated with the presence of different bone marrow derived stem cell- secreted factors in plasma. In this new study, researchers Anna Buigues, Noelia Ramírez-Martin, Jessica Martínez, Nuria Pellicer, Marcos Meseguer, Antonio Pellicer, and Sonia Herraiz from IVIRMA Global Research Alliance aimed to assess whether ASCOT induces any modifications in the plasma proteomic profile of patients with impaired ovarian reserves. “In this study, we aimed to assess if the ASCOT technique modifies the signature of the human plasma proteome, reveal the mechanisms underlying its beneficial effects on the ovary, and identify key regulators of ovarian aging.” Discriminant analysis highlighted clear distinctions between the plasma proteome before (PRE), during stem cell mobilization and collection (APHERESIS) and three months after ASCOT (POST) in patients with POR and POI. Both the stem cell mobilization and ASCOT technique induced statistically significant modifications in the plasma composition, reversing some age-related protein expression changes. In the POR group, functional analysis revealed an enrichment in processes related to the complement cascade, immune system, and platelet degranulation, while in the POI group, enriched processes were also associated with responses to oxygen-containing compounds and growth hormones, and blood vessel maturation. “In conclusion, our findings highlight the potential proteins and biological processes that may promote the follicle activation and growth observed after ASCOT.” DOI - https://doi.org/10.18632/aging.205400 Corresponding author - Sonia Herraiz - sonia_herraiz@iislafe.es Sign up for free Altmetric alerts about this article - https://aging.altmetric.com/details/email_updates?id=10.18632%2Faging.205400 Subscribe for free publication alerts from Aging - https://www.aging-us.com/subscribe-to-toc-alerts Keywords - aging, plasma proteomic profile, autologous stem cell ovarian transplantation, poor ovarian response, premature ovarian insufficiency About Aging-US Launched in 2009, Aging-US publishes papers of general interest and biological significance in all fields of aging research and age-related diseases, including cancer—and now, with a special focus on COVID-19 vulnerability as an age-dependent syndrome. Topics in Aging-US go beyond traditional gerontology, including, but not limited to, cellular and molecular biology, human age-related diseases, pathology in model organisms, signal transduction pathways (e.g., p53, sirtuins, and PI-3K/AKT/mTOR, among others), and approaches to modulating these signaling pathways. Please visit our website at https://www.Aging-US.com​​ and connect with us: SoundCloud - https://soundcloud.com/Aging-Us Facebook - https://www.facebook.com/AgingUS/ X - https://twitter.com/AgingJrnl Instagram - https://www.instagram.com/agingjrnl/ YouTube - https://www.youtube.com/@AgingJournal LinkedIn - https://www.linkedin.com/company/aging/ Pinterest - https://www.pinterest.com/AgingUS/ Media Contact 18009220957 MEDIA@IMPACTJOURNALS.COM

Tous les soirs à 18h16, retrouvez un invité qui est au cœur de l'actualité pour un moment d'échange franc sur les dossiers brûlants du moment. Ce soir Marie-Amélie Le Fur, présidente du Comité Paralympique et Sportif Français.  - Marie-Amélie Le Fur, présidente du Comité Paralympique et Sportif Français

Tous les soirs à 18h16, retrouvez un invité qui est au cœur de l'actualité pour un moment d'échange franc sur les dossiers brûlants du moment. Ce soir Marie-Amélie Le Fur, présidente du Comité Paralympique et Sportif Français.  - Marie-Amélie Le Fur, présidente du Comité Paralympique et Sportif Français

Tune in to our latest episode Conversation on the couch' with …… as we discuss any & everything. Raw & uncut!Let us know if you can relate to this topic & Drop a few topics in the comment section.nothing is off limits ! LETS GO

I read from discredit to discriminant function.     The word of the episode is "discretion".     Theme music from Tom Maslowski https://zestysol.com/     Merchandising! https://www.teepublic.com/user/spejampar     "The Dictionary - Letter A" on YouTube   "The Dictionary - Letter B" on YouTube   "The Dictionary - Letter C" on YouTube   "The Dictionary - Letter D" on YouTube     Featured in a Top 10 Dictionary Podcasts list! https://blog.feedspot.com/dictionary_podcasts/     Backwards Talking on YouTube: https://www.youtube.com/playlist?list=PLmIujMwEDbgZUexyR90jaTEEVmAYcCzuq     dictionarypod@gmail.com https://www.facebook.com/thedictionarypod/ https://twitter.com/dictionarypod https://www.instagram.com/dictionarypod/ https://www.patreon.com/spejampar https://www.tiktok.com/@spejampar 917-727-5757

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2022.09.23.508775v1?rss=1 Authors: Lipshutz, D., Kashalikar, A., Farashahi, S., Chklovskii, D. B. Abstract: To adapt to their environments, animals learn associations between sensory stimuli and unconditioned stimuli. In invertebrates, olfactory associative learning primarily occurs in the mushroom body, which is segregated into separate compartments. Within each compartment, Kenyon cells (KCs) encoding sparse odor representations project onto mushroom body output neurons (MBONs) whose outputs guide behavior. Associated with each compartment is a dopamine neuron (DAN) that modulates plasticity of the KC-MBON synapses within the compartment. Interestingly, DAN-induced plasticity of the KC-MBON synapse is imbalanced in the sense that it only weakens the synapse and is temporally sparse. We propose a normative mechanistic model of the MBON as a linear discriminant analysis (LDA) classifier that predicts the presence of an unconditioned stimulus (class identity) given a KC odor representation (feature vector). Starting from a principled LDA objective function and under the assumption of temporally sparse DAN activity, we derive an online algorithm which maps onto the mushroom body compartment. Our model accounts for the imbalanced learning at the KC-MBON synapse and makes testable predictions that provide clear contrasts with existing models. Copy rights belong to original authors. Visit the link for more info Podcast created by PaperPlayer

Local groups have organized opposition to Samoa's proposed fish farm, a local segment in Hillary Clinton's new Apple TV+ show ‘Gutsy,' tension between tribal members and the ‘Planning Commission, alleged looters were IDed by cops in wake of California's second-largest wildfire this summer, 1964-born Jeffrey Bezos' paper the Washington Post looked at Humboldt County's recent cannabis challenges, locally-set ‘Virgin River' on Netflix topped ‘Stranger Things' in a recent Nielson chart, remembering local TV-ad legend Corky Cornwell, Avelo Airlines invested in an additional departure to LA via ACV, 46 coastal acres by King Salmon and Humboldt Hill were given back to the Wiyot Tribe, fishing boat crew members rescued a man, a small Fortuna child was hospitalized after being attacked by a dog, our coastal cliffs were identified in a study as the most crumbly in the state, allegations a hash lab owner in McKinleyville opened fire at cops with a BB gun, an analysis of local barriers to safe abortion access, Eureka High export Jake Hanson has continued to make a case for a starting spot protecting Aaron Rodgers on the Green Bay Packers offensive line, a burglar broke into the Fortuna Vets Hall and took cherished military artifacts, local event suggestions, and more. Humboldt Last Week is Humboldt County's news podcast brought to you in collaboration with STIL, Primal Decor, Belle Starr Clothing, North Coast Co-op, Bongo Boy Studio, Hops in Humboldt, the Humboldt County Fair, Photography by Shi, North Coast Journal, Becks Bakery, RHBB, and KJNY. Subscribe via Apple, Spotify, or wherever else you get podcasts. Humboldt Last Week (new/alt/indie) Radio With no commercials and local nuggets: humboldtlastweek.com/radio Available via RadioKing app. Contact: myles@humboldtlastweek.com humboldtlastweek.com

Chronique d'André Durocher, inspecteur retraité du Service de police de la Ville de Montréal:  on revient sur le dossier des femmes blanches exclues. Pendant que ça tire à Montréal, la mairesse veut consulter le peuple concernant son futur chef de police, bonne idée ? Pour de l'information concernant l'utilisation de vos données personnelles - https://omnystudio.com/policies/listener/fr

Depuis son retour au pouvoir, le Premier ministre ultra-nationaliste hongrois Viktor Orban détricote les droits des LGBT+, dans un pays qui était plutôt progressiste. La Hongrie est le premier pays de l'Est à avoir dépénalisé l'homosexualité dans les années 1960. Comment la loi va-t-elle être appliquée, et comment réagit la communauté LGBT+ ? En Hongrie, une nouvelle loi a provoqué un déluge de critiques dans toute l'Europe. Entrée en vigueur le 7 juillet, elle punit sévèrement les pédophiles. Mais le texte interdit aussi de rendre accessible aux moins de 18 ans des contenus qui représentent ou popularisent l'homosexualité ou le changement de genre. La loi semble faire l'amalgame entre pédophiles et homosexuels.

This podcast is designed for high school students preparing to take their SAT. We provide you with tips and strategies so that you can ace the SAT. Throughout this podcast, we will be discussing different sections of the SAT, different forms of questions you will encounter, and the strategies you can utilize to answer questions correctly. Our hope is that this podcast will be both entertaining and educational! In this episode, Atrik Patel discusses the Discriminant of the Quadratic Formula, a key topic tested on the SAT. Ivy Experience This podcast is powered by Ivy Experience, an educational company that provides students SAT/ACT test preparation, college application and essay coaching, academic advising, and more. Ivy Experience helps students succeed in a world where college admissions are more competitive than ever. Please check out ivyexperience.com to learn more. Also, check out our Instagram page, where we post "Questions Of The Day" every weekday, which align directly with the episode of the day! You can do so by following us on the platform using our handle (@satflashgo) or by clicking this link: https://www.instagram.com/satflashgo/ If you have any suggestions, concerns, or questions, feel free to e-mail us at SATflashgo@gmail.com. We wish you the best of luck on your educational journey!

Neste episódio compartilho o que aprendi lendo a documentação do Scikit-learn sobre SVM, Truque do Kernel e Discriminant Analysis no segundo dia do desafio dos mestres do scikit-learn. Se você quiser aprender a habilidade mais importante para trabalhar com Data Science, acesse http://CursoDeDataScience.com Juntei todas as minhas dicas de machine learning num e-book. Conheça http://www.ManualDeDataScience.com Me siga no Instagram e receba dicas exclusivas: http://www.instagram.com/mariofilhoml

The support vector machine is a linear discriminant classifer. SVM separates the class entities by a linear discriminant line. The fatter the margin between the discriminant and the class entity and the better the lower the penalty for error for class entity on the wrong side then the better the prediction.

This 70th episode of Learning Machines 101 we discuss how to identify facial emotion expressions in images using an advanced clustering technique called Stochastic Neighborhood Embedding. We discuss the concept of recognizing facial emotions in images including applications to problems such as: improving online communication quality, identifying suspicious individuals such as terrorists using video cameras, improving lie detector tests, improving athletic performance by providing emotion feedback, and designing smart advertising which can look at the customer’s face to determine if they are bored or interested and dynamically adapt the advertising accordingly. To address this problem we review clustering algorithm methods including K-means clustering, Linear Discriminant Analysis, Spectral Clustering, and the relatively new technique of Stochastic Neighborhood Embedding (SNE) clustering. At the end of this podcast we provide a brief review of the classic machine learning text by Christopher Bishop titled “Pattern Recognition and Machine Learning”. Make sure to visit: www.learningmachines101.com to obtain free transcripts of this podcast and important supplemental reference materials!

For a quadratic equation of the form ax^2+bx+c=0, the discriminant function b^2-4ac is introduced, as a way of determining how many roots this equation has. This is then applied to problems of determining how many points of intersection the curves representing quadratic functions have.

Wed, 8 Dec 2010 12:00:00 +0100 https://edoc.ub.uni-muenchen.de/12764/ https://edoc.ub.uni-muenchen.de/12764/2/Kohlmann_Mareike.pdf Kohlmann, Mareike ddc:000, ddc:004, Fakultät für Mathematik, Informati

Dr King-wa Fu is a Research Assistant Professor at the Journalism and Media Studies Centre (JMSC), at the University of Hong Kong. Together with his co-authors, Dr Fu has published a paper in the June issue of the British Journal of Psychiatry on Internet addiction: prevalence, discriminant validity and correlates among adolescents in Hong Kong. Here, he discusses the topic with Dr Ovais Badat

Background: The aim of this study, conducted in Europe, was to develop a validated risk factor based model to predict RSV-related hospitalisation in premature infants born 33-35 weeks' gestational age (GA). Methods: The predictive model was developed using risk factors captured in the Spanish FLIP dataset, a case-control study of 183 premature infants born between 33-35 weeks' GA who were hospitalised with RSV, and 371 age-matched controls. The model was validated internally by 100-fold bootstrapping. Discriminant function analysis was used to analyse combinations of risk factors to predict RSV hospitalisation. Successive models were chosen that had the highest probability for discriminating between hospitalised and non-hospitalised infants. Receiver operating characteristic (ROC) curves were plotted. Results: An initial 15 variable model was produced with a discriminant function of 72% and an area under the ROC curve of 0.795. A step-wise reduction exercise, alongside recalculations of some variables, produced a final model consisting of 7 variables: birth +/- 10 weeks of start of season, birth weight, breast feeding for = 2 years, family members with atopy, family members with wheeze, and gender. The discrimination of this model was 71% and the area under the ROC curve was 0.791. At the 0.75 sensitivity intercept, the false positive fraction was 0.33. The 100-fold bootstrapping resulted in a mean discriminant function of 72% (standard deviation: 2.18) and a median area under the ROC curve of 0.785 (range: 0.768-0.790), indicating a good internal validation. The calculated NNT for intervention to treat all at risk patients with a 75% level of protection was 11.7 (95% confidence interval: 9.5-13.6). Conclusion: A robust model based on seven risk factors was developed, which is able to predict which premature infants born between 33-35 weeks' GA are at highest risk of hospitalisation from RSV. The model could be used to optimise prophylaxis with palivizumab across Europe.

Background: Total tau (T-tau) and beta-amyloid((1-42)) (A beta(1-42)) levels in cerebrospinal fluid (CSF) can differentiate Alzheimer's disease (AD) from normal aging or depressive pseudo-dementia. Differential diagnosis from dementia with Lewy bodies (DLB) in clinical settings is difficult. Methods: The analytical performance of the INNOTEST (R) PHOSPHO-TAU((181P)) assay was validated in terms of selectivity, sensitivity, specificity, precision, robustness, and stability. Clinical utility of the assay alone, or combined with T-tau and AP1-421 for discrimination of AD (n=94) from patients suffering from DLB (n=60) or from age-matched control subjects (CS) (n=60) was assessed in a multicenter study. Results: CSF concentrations of tau phosphorylated at threonine 181 (P-tau(181P)) in AD was significantly higher than in DLB and CS. Discriminant analysis, a classification tree, and logistic regression showed that P-tau(181P) was the most statistically significant single variable of the three biomarkers for discrimination between AD and DLB. Conclusions: P-tau(181P) quantification is a robust and reliable assay that may be useful in discriminating AD from DLB.