Academic literature on the topic 'Positive-only'
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Journal articles on the topic "Positive-only"
Wilding, Edward. "Biometrics: the only positive identification." Computer Fraud & Security Bulletin 11, no. 4 (February 1989): 21–22. http://dx.doi.org/10.1016/0142-0496(89)90068-4.
Full textUchida, Rick. "Litho-only double patterning approaches: positive–negative versus positive–positive tone." Journal of Micro/Nanolithography, MEMS, and MOEMS 8, no. 1 (January 1, 2009): 011006. http://dx.doi.org/10.1117/1.3042219.
Full textBacigalupe, Gonzalo. "Is positive psychology only White psychology?" American Psychologist 56, no. 1 (2001): 82–83. http://dx.doi.org/10.1037/0003-066x.56.1.82b.
Full textWang, Jia Bao, Ya Fei Zhang, Jian Jiang Lu, and Yang Li. "Learning Visual Object Classifiers with only Positive Images." Advanced Materials Research 468-471 (February 2012): 1891–94. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.1891.
Full textGiles, Sarah. "Overlapping skills and treatment can only be positive." Nursing Standard 15, no. 49 (August 22, 2001): 31. http://dx.doi.org/10.7748/ns.15.49.31.s53.
Full textErnst, E., and MS Lee. "A trial design that generates only ′′positive′′ results." Journal of Postgraduate Medicine 54, no. 3 (2008): 214. http://dx.doi.org/10.4103/0022-3859.41806.
Full textDemba. "Specialization of Recursive Predicates from Positive Examples Only." Journal of Computer Science 6, no. 6 (June 1, 2010): 641–47. http://dx.doi.org/10.3844/jcssp.2010.641.647.
Full textErnst, E. "A study that can only generate positive results." Focus on Alternative and Complementary Therapies 16, no. 3 (August 11, 2011): 237–38. http://dx.doi.org/10.1111/j.2042-7166.2011.01106_12.x.
Full textNewhoff, Marilyn. "Online-Only Brings Positive Change to ASHA Journals." ASHA Leader 15, no. 3 (March 2010): 24. http://dx.doi.org/10.1044/leader.an3.15032010.24.
Full textTerada, Yoshikazu, Issei Ogasawara, and Ken Nakata. "Classification from only positive and unlabeled functional data." Annals of Applied Statistics 14, no. 4 (December 2020): 1724–42. http://dx.doi.org/10.1214/20-aoas1404.
Full textDissertations / Theses on the topic "Positive-only"
Mitchell, Andrew Computer Science & Engineering Faculty of Engineering UNSW. "An approach to boosting from positive-only data." Awarded by:University of New South Wales. Computer Science and Engineering, 2004. http://handle.unsw.edu.au/1959.4/20678.
Full textLei, Ye [Verfasser]. "Is It Appropriate to Use Only Magnetic Resonance Imaging/transrectal Ultrasound (MRI/TRUS) Fusion Targeted Biopsy for Diagnosis of Prostate Cancer in Patients with Positive mpMRI Results? / Ye Lei." Tübingen : Universitätsbibliothek Tübingen, 2018. http://d-nb.info/1227771495/34.
Full textZaher, Murhaf. ""BH3-only" Noxa, cible spécifique de l'induction d'apoptose pour la thérapie des leucémies lymphoïdes chronique." Thesis, Paris 11, 2011. http://www.theses.fr/2011PA11T042.
Full textChronic lymphocytic leukemia (CLL) is characterized by blood accumulation of CD5+/B lymphocytes which are deficient in their apoptotic program. Despite recent therapeutic advances, CLL remains an incurable disease. Treatment strategy based on the re-establishment of apoptotic processes has retained much attention, and such a strategy requires the identification of specific targets. To this aim, we have investigated the mechanism of action of hyperforin, a phloroglucinol purified from St John’s wort, capable of inducing apoptosis of CLL cells ex vivo via the caspase-dependent mitochondrial pathway. Our results show that treatment of CLL patients’ cells upregulates the BH3-only protein Noxa that is a specific antagonist ligand of Mcl-1, the crucial prosurvival protein for apoptosis deficiency in CLL. We find that hyperforin provokes both the interaction of Noxa with Mcl-1 and the dissociation of Mcl-1/Bak complex, leading to Bak activation responsible for the release of apoptogenic factors from mitochondria. Noxa upregulation does not seem to result from transcription activation but rather from a regulation at the protein level, as suggested by the ability of hyperforin to inhibit proteasome activity in CLL cells. Using siRNA, Noxa silencing partially reduces hyperforin-induced apoptosis. Our data indicate that Noxa upregulation is one of the mechanisms through which hyperforin triggers CLL cell apoptosis. This mechanism appears to be shared with other plant-derived compounds, as observed with M2Yn, an extract from central Asia plants, that we show here to be an inducer of apoptosis in CLL cells by activating the caspase-dependent mitochondrial pathway. Finally, we have participated in highlighting the proapoptotic properties of hyperforin in another leukemia model, acute myeloid leukemia, via in part Noxa upregulation and Akt1 kinase activity inhibition.In conclusion, our data describe new steps in the mechanism of action of hyperforin and favor that the BH3-only protein Noxa is a major target for the therapeutic strategy based on apoptosis induction in CLL. Thus, this thesis should prompt the development of new BH3 mimetics specific for Noxa
Tavares, Lucas Alves. "O envolvimento da proteína adaptadora 1 (AP-1) no mecanismo de regulação negativa do receptor CD4 por Nef de HIV-1." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/17/17136/tde-06012017-113215/.
Full textThe Human Immunodeficiency Virus (HIV) is the etiologic agent of Acquired Immunodeficiency Syndrome (AIDS). AIDS is a disease which has a global distribution, and it is estimated that there are currently at least 36.9 million people infected with the virus. During the replication cycle, HIV promotes several changes in the physiology of the host cell to promote their survival and enhance replication. The fast progression of HIV-1 in humans and animal models is closely linked to the function of an accessory protein Nef. Among several actions of Nef, one is the most important is the down-regulation of proteins from the immune response, such as the CD4 receptor. It is known that this action causes CD4 degradation in lysosome, but the molecular mechanisms are still incompletely understood. Nef forms a tripartite complex with the cytosolic tail of the CD4 and adapter protein 2 (AP-2) in clathrin-coated vesicles, inducing CD4 internalization and lysosome degradation. Previous research has demonstrated that CD4 target to lysosomes by Nef involves targeting of this receptor to multivesicular bodies (MVBs) pathway by an atypical mechanism because, although not need charging ubiquitination, depends on the proteins from ESCRTs (Endosomal Sorting Complexes Required for Transport) machinery and the action of Alix, an accessory protein ESCRT machinery. It has been reported that Nef interacts with subunits of AP- 1, AP-2, AP-3 complexes and Nef does not appear to interact with AP-4 and AP-5 subunits. However, the role of Nef interaction with AP-1 or AP-3 in CD4 down-regulation is poorly understood. Furthermore, AP-1, AP-2 and AP-3 are potentially heterogeneous due to the existence of multiple subunits isoforms encoded by different genes. However, there are few studies to demonstrate if the different combinations of APs isoforms are form and if they have distinct functional properties. This study aim to identify and characterize cellular factors involved on CD4 down-modulation induced by Nef from HIV-1. More specifically, this study aimed to characterize the involvement of AP-1 complex in the down-regulation of CD4 by Nef HIV-1 through the functional study of the two isoforms of ?-adaptins, AP-1 subunits. By pull-down technique, we showed that Nef is able to interact with ?2. In addition, our data from immunoblots indicated that ?2- adaptin, not ?1-adaptin, is required in Nef-mediated targeting of CD4 to lysosomes and the ?2 participation in this process is conserved by Nef from different viral strains. Furthermore, by flow cytometry assay, ?2 depletion, but not ?1 depletion, compromises the reduction of surface CD4 levels induced by Nef. Immunofluorescence microscopy analysis also revealed that ?2 depletion impairs the redistribution of CD4 by Nef to juxtanuclear region, resulting in CD4 accumulation in primary endosomes. Knockdown of ?1A, another subunit of AP-1, resulted in decreased cellular levels of ?1 and ?2 and, compromising the efficient CD4 degradation by Nef. Moreover, upon artificially stabilizing ESCRT-I in early endosomes, via overexpression of HRS, internalized CD4 accumulates in enlarged HRS-GFP positive endosomes, where co-localize with ?2. Together, the results indicate that ?2-adaptin is a molecule that is essential for CD4 targeting by Nef to ESCRT/MVB pathway, being an important protein in the endo-lysosomal system. Furthermore, the results indicate that ?-adaptins isoforms not only have different functions, but also seem to compose AP-1 complex with distinct cell functions, and only the AP-1 variant comprising ?2, but not ?1, acts in the CD4 down-regulation induced by Nef. These studies contribute to a better understanding on the molecular mechanisms involved in Nef activities, which may also help to improve the understanding of the HIV pathogenesis and the related syndrome. In addition, this work contributes with the understanding of primordial process regulation on intracellular trafficking of transmembrane proteins.
Brites, Alice Dantas. "Monitoramento dos efeitos ecológicos e socioeconômicos da comercialização de produtos florestais não madereiros." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/90/90131/tde-24032011-215203/.
Full textAmazon, non-timber forest products, ecological effects, socioeconomic effects, monitoring.
Mitchell, Andrew R. "An approach to boosting from positive-only data /." 2004. http://www.library.unsw.edu.au/~thesis/adt-NUN/public/adt-NUN20050505.025314/index.html.
Full textKao, Pei-chun, and 高培鈞. "Adaboost Learning by Positive Samples Only — with Application on Face Detection." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/dwwk8w.
Full text大同大學
資訊工程學系(所)
106
The Adaboost learning algorithm can train an effective and reliable classifier for object detection. Traditional approaches used both positive and negative samples of target object on training. Such approaches are in fact to divide world objects in to two categories, i.e., target one and non-target one. Hence, a face-detection learning algorithm, for example, needs to gather discriminant features both for face and non-face objects respectively from given positive/negative samples for ‘classification’. Such an approach is, in fact, to do objection detection in classification sense. Detection theory or signal detection theory is a means to measure the ability to differentiate between information-bearing patterns (e.g., facial images) and random patterns that distract from the information (e.g., almost any random images or sub-images are non-facial images). This implies that samples for information-bearing patterns (positive samples) are scarce resources in comparison with the opposite ones (negative samples). One may say that almost ‘nothing is not noise’ in discourse of detection theory. Hence, to learn detection, negative samples seemingly plays an irrelevant role for feature extraction on the target object. For example, teaching children to know the appearance of giraffes, we only show them giraffe pictures, and not include any non-giraffe ones. Such a learning scheme will not cause any difficulties for children to learn the concept of giraffes. This motivates us to develop a learning scheme for object detection based mainly on positive samples of the target object. This thesis proposes the so called PSO-Adaboost learning algorithm. It is a abbreviation of Positive-Sample-Only Adaboost learning algorithm. The concept will be described by training a face detector. During training, the weak classifiers of the face detector are determined iteratively based on the feature entropy. It is computed by the probability distribution of the so-called NBBP (Neighboring-Block Binary Pattern) features among the given positive samples. Some experimental results and analytical information will be provided in the thesis. It is shown that PSO-Adaboost is more learning effective than traditional approaches, and the resulting ROC curve is also comparable with them. Furthermore, PSO-Adaboost is allowed to associate with a refining scheme for improvement. It also facilitates to develop an incremental Adaboost learning algoirithm as as to build an object detector incrementally.
Chen, Chao-Yu, and 陳昭宇. "Not Only the Amount Counts: The Positive Effect of a Balanced Life on Well-being." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/75171134050632304018.
Full text國立臺灣大學
心理學研究所
97
Most previous research have indicated that life domain satisfaction can promote global well-being. However, the main purpose of this study is to examine the effect of balanced life satisfaction on global well-being and to prove the mechanism of balanced life. In study 1, results indicated that the standard deviation of life satisfactions across life domains had significant influence on the Global Well-being. Multiple regression analysis showed that this remained significant when the average of satisfaction was controlled for. In study 2, the author measured “need fulfillment” in multiple life domains for capturing the satisfaction in multiple life domains. Then we created three imbalanced indicators. Simple correlation showed higher imbalanced scores were associated with less Global Well-being. Multiple regression demonstrated that the ceiling effect and the scarcity hypothesis are the mechanism of balanced life. Finally, further discussion and recommendation were proposed.
Books on the topic "Positive-only"
Positive intelligence: Why only 20% of teams and individuals achieve their true potential and how you can achieve yours. Austin, TX: Greenleaf Book Group Press, 2012.
Find full textLove stuff: 515 delightful, delicious, sexy, silly, fun, frivolous, passionate, positive, and (above all) romantic things to do with your one-and-only. Kansas City, Mo: Andrews McMeel Pub., 2004.
Find full textThorpe, Elle. Only the Positive. Elle Thorpe, 2018.
Find full textGolding, Lucie, and Aimee Golding. Positive Vibes Only: Lined Notebook. Independently Published, 2020.
Find full textNotebooks, Positive Motivation. Positive Vibes Only: Motivational Notebook, Journal, Diary. Independently Published, 2019.
Find full textNOTEBOOKS, Beng. Positive Vibes Only: Inspirational, Modern and Elegant Cool Lined Notebook. Independently Published, 2020.
Find full textNotebooks, Your. Positive Vibes Only: Motivational Notebook, Positive Notebook On Top, Inspirational Quote for Students,Trendy Journal, Diary, Scrapbook, College Ruled. Independently published, 2019.
Find full textPublishing, Simple Notebook. PINK CHERRY Notebook : Positive Vibes Only. Once You Replace Negative Thoughts with Positive Ones You'll Start Having Positive Results. , Creatif Daily Journal: Beautiful Notebook Whit Lined Interior. Independently Published, 2019.
Find full textPublishing, Simple Notebook. LIGHT YELLOW DOTTED Notebook : Positive Vibes Only. Once You Replace Negative Thoughts with Positive Ones You'll Start Having Positive Results. , Creatif Daily Journal: Beautiful Notebook Whit Lined Interior. Independently Published, 2019.
Find full textPublishing, Simple Notebook. YELLOW LEMON PIECES Notebook : Positive Vibes Only. Once You Replace Negative Thoughts with Positive Ones You'll Start Having Positive Results. , Creatif Daily Journal: Beautiful Notebook Whit Lined Interior. Independently Published, 2019.
Find full textBook chapters on the topic "Positive-only"
Wigner, E. P. "Relativistic Wave Equations Admitting Only Positive Energy." In Part I: Particles and Fields. Part II: Foundations of Quantum Mechanics, 321. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-662-09203-3_28.
Full textJha, Susmit, Ashish Tiwari, Sanjit A. Seshia, Tuhin Sahai, and Natarajan Shankar. "TeLEx: Passive STL Learning Using Only Positive Examples." In Runtime Verification, 208–24. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67531-2_13.
Full textAlxatib, Sam. "The Positive Morpheme and Its Interaction with Only." In Studies in Linguistics and Philosophy, 53–88. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37806-6_3.
Full textWang, Gang, Yong Yu, and Haiping Zhu. "PORE: Positive-Only Relation Extraction from Wikipedia Text." In The Semantic Web, 580–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-76298-0_42.
Full textBoström, Henrik. "Predicate invention and learning from positive examples only." In Machine Learning: ECML-98, 226–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0026693.
Full textRiabchenko, Ekaterina, Ke Chen, and Joni-Kristian Kämäräinen. "Progressive Visual Object Detection with Positive Training Examples Only." In Image Analysis, 388–99. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19665-7_32.
Full textHajizadeh, Siamak, Zili Li, Rolf P. B. J. Dollevoet, and David M. J. Tax. "Evaluating Classification Performance with only Positive and Unlabeled Samples." In Lecture Notes in Computer Science, 233–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44415-3_24.
Full textVinagre, João, Alípio Mário Jorge, and João Gama. "Fast Incremental Matrix Factorization for Recommendation with Positive-Only Feedback." In User Modeling, Adaptation, and Personalization, 459–70. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08786-3_41.
Full textWang, Xiaoling, Zhen Xu, Chaofeng Sha, Martin Ester, and Aoying Zhou. "Semi-supervised Learning from Only Positive and Unlabeled Data Using Entropy." In Web-Age Information Management, 668–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14246-8_64.
Full textHroza, Jiří, and Jan Žižka. "Selecting Interesting Articles Using Their Similarity Based Only on Positive Examples." In Computational Linguistics and Intelligent Text Processing, 608–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-30586-6_65.
Full textConference papers on the topic "Positive-only"
Wang, Zhigang, Zengshun Zhao, and Changshui Zhang. "Learning with only multiple instance positive bags." In 2016 International Joint Conference on Neural Networks (IJCNN). IEEE, 2016. http://dx.doi.org/10.1109/ijcnn.2016.7727217.
Full textZhu, Mingzhu, Wei Xiong, and Yi-Fang Brook Wu. "Learning to Rank with Only Positive Examples." In 2014 13th International Conference on Machine Learning and Applications (ICMLA). IEEE, 2014. http://dx.doi.org/10.1109/icmla.2014.19.
Full textHernandez Z., Antonio, Oscar Camacho N., Cornelio Yanez M., and Juan L. Diaz de Leon S. "Modeling control processes using only positive values." In Optics & Photonics 2005, edited by Jaakko T. Astola, Ioan Tabus, and Junior Barrera. SPIE, 2005. http://dx.doi.org/10.1117/12.621555.
Full textElkan, Charles, and Keith Noto. "Learning classifiers from only positive and unlabeled data." In the 14th ACM SIGKDD international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1401890.1401920.
Full textPlebani, Emanuele, Luigi Celona, Danilo Pau, Pegah Karimi, and Marco Marcon. "Training an object detector using only positive samples." In 2015 IEEE 1st International Workshop on Consumer Electronics - Novi Sad. IEEE, 2015. http://dx.doi.org/10.1109/cews.2015.7867139.
Full textAlegria, Ana V., Sofia Granadeiro, Alexandra Borba, Ivan Bravio, Luísa Semedo, Fernando Martelo, and João Cardoso. "Granulomas And A Positive Lowenstein Culture. Is It Only Tuberculosis?" In American Thoracic Society 2010 International Conference, May 14-19, 2010 • New Orleans. American Thoracic Society, 2010. http://dx.doi.org/10.1164/ajrccm-conference.2010.181.1_meetingabstracts.a2933.
Full textMollá, Diego, David Martinez, and Iman Amini. "Towards information retrieval evaluation with reduced and only positive judgements." In the 18th Australasian Document Computing Symposium. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2537734.2537748.
Full textQasemiZadeh, Behrang, and Laura Kallmeyer. "Random Positive-Only Projections: PPMI-Enabled Incremental Semantic Space Construction." In Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics. Stroudsburg, PA, USA: Association for Computational Linguistics, 2016. http://dx.doi.org/10.18653/v1/s16-2024.
Full textManevitz, Larry M., and Malik Yousef. "Document classification on neural networks using only positive examples (poster session)." In the 23rd annual international ACM SIGIR conference. New York, New York, USA: ACM Press, 2000. http://dx.doi.org/10.1145/345508.345608.
Full textLiu, Ying, Wen Yang, Xin Xu, and Hong Sun. "Urban area extraction from Polarimetric SAR imagery using only positive samples." In 2010 10th International Conference on Signal Processing (ICSP 2010). IEEE, 2010. http://dx.doi.org/10.1109/icosp.2010.5655181.
Full textReports on the topic "Positive-only"
Crespi, Gustavo, Lucas Figal Garone, Alessandro Maffioli, and Ernesto H. Stein. Research Insights: Does R&D Activity Stimulated by Chile’s FONDEF and FONTEC Programs Lead to Knowlege Spillovers? Inter-American Development Bank, August 2020. http://dx.doi.org/10.18235/0002928.
Full textCarlsson, Mikael, Julián Messina, and Oskar Nordström Skans. Firm-Level Shocks and Labor Flows. Inter-American Development Bank, January 2021. http://dx.doi.org/10.18235/0003002.
Full textCarlsson, Mikael, Julián Messina, and Oskar Nordström Skans. Firm-Level Shocks and Labor Flows. Inter-American Development Bank, January 2021. http://dx.doi.org/10.18235/0003002.
Full textDrabczyk, Maria, and Johan Oomen. COVID-19 as a Driver for Change in Audiovisual Archives. International Federation of Television Archives, March 2021. http://dx.doi.org/10.18146/coav2021.
Full textMcCauley, Ann P. Equitable access to HIV counseling and testing for youth in developing countries: A review of current practice. Population Council, 2004. http://dx.doi.org/10.31899/hiv15.1008.
Full textLópez Boo, Florencia, Jane Leer, and Akito Kamei. Community Monitoring Improves Public Service Provision at Scale: Experimental Evidence from a Child Development Program in Nicaragua. Inter-American Development Bank, November 2020. http://dx.doi.org/10.18235/0002869.
Full textSadowski, Dieter. Board-Level Codetermination in Germany - The Importance and Economic Impact of Fiduciary Duties. Association Inter-University Centre Dubrovnik, May 2021. http://dx.doi.org/10.53099/ntkd4304.
Full textSpoors, F., C. D. B. Leakey, and M. A. James. Coast to ocean: a Fife-eye view: ocean literacy in Fife, Scotland. Scottish Oceans Institute, 2021. http://dx.doi.org/10.15664/10023.23981.
Full textBosch, Mariano, Stephanie González, and María Teresa Silva Porto. Chasing Informality: Evidence from Increasing Enforcement in Large Firms in Peru. Inter-American Development Bank, March 2021. http://dx.doi.org/10.18235/0003128.
Full textNiconchuk, Michael. Whose Vulnerability? Trauma Recovery in the Reintegration of Former Violent Extremists. RESOLVE Network, June 2021. http://dx.doi.org/10.37805/pn2021.16.vedr.
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