Relevant bibliographies by topics / DSN normalization

Academic literature on the topic 'DSN normalization'

Author: Grafiati
Published: 11 March 2023

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Journal articles on the topic "DSN normalization"

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So, Chi Chiu, Tsz On Li, Chufang Wu, and Siu Pang Yung. "Differential Spectral Normalization (DSN) for PDE Discovery." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 11 (May 18, 2021): 9675–84. http://dx.doi.org/10.1609/aaai.v35i11.17164.

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Partial differential equations (PDEs) play a prominent role in many disciplines for describing the governing systems of interest. Traditionally, PDEs are derived based on first principles. In the era of big data, the needs of uncovering PDEs from massive data-set are emerging and become essential. One of the latest advance in PDE discovery models is PDE-Net, which has shown promising predictive power with its moment-constrained convolutional filters, but may suffer from noisy data and numerical instability intrinsic in numerical differentiation. We propose a novel and robust regularization method tailored for moment-constrained convolutional filters, namely, Differential Spectral Normalization (DSN), to allow accurate estimation of coefficient functions and stable prediction of dynamics in a long time horizon. We investigated the effectiveness of DSN against batch normalization, dropout, spectral normalization, weight decay, weight normalization, jacobian regularization and orthonormal regularization and supported with empirical evidence that DSN owns the highest effectiveness by learning the convolutional filters in a robust manner. Numerical experiments further reveal that with DSN there is a substantial potential to uncover the hidden PDEs in a scarce data setting and predict the dynamical behavior for a long time horizon, even in a noisy environment where all data samples are contaminated with noise.
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Greene, Clint, Matt Cieslak, and Scott T. Grafton. "Effect of different spatial normalization approaches on tractography and structural brain networks." Network Neuroscience 2, no. 3 (September 2018): 362–80. http://dx.doi.org/10.1162/netn_a_00035.

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To facilitate the comparison of white matter morphologic connectivity across target populations, it is invaluable to map the data to a standardized neuroanatomical space. Here, we evaluated direct streamline normalization (DSN), where the warping was applied directly to the streamlines, with two publically available approaches that spatially normalize the diffusion data and then reconstruct the streamlines. Prior work has shown that streamlines generated after normalization from reoriented diffusion data do not reliably match the streamlines generated in native space. To test the impact of these different normalization methods on quantitative tractography measures, we compared the reproducibility of the resulting normalized connectivity matrices and network metrics with those originally obtained in native space. The two methods that reconstruct streamlines after normalization led to significant differences in network metrics with large to huge standardized effect sizes, reflecting a dramatic alteration of the same subject’s native connectivity. In contrast, after normalizing with DSN we found no significant difference in network metrics compared with native space with only very small-to-small standardized effect sizes. DSN readily outperformed the other methods at preserving native space connectivity and introduced novel opportunities to define connectome networks without relying on gray matter parcellations.
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Blayney, Douglas W., Yuankai Shi, Igor Bondarenko, Stephan Ogenstad, Qingyuan Zhang, Lihua Du, Lan Huang, and Ramon Mohanlal. "Head-to-head comparison of single agent (SA) plinabulin (Plin) versus pegfilgrastim (Peg) for the prevention of chemotherapy-induced neutropenia (CIN) in the phase 3 trial PROTECTIVE-1." Journal of Clinical Oncology 39, no. 15_suppl (May 20, 2021): 547. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.547.

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547 Background: Peg is the current standard of care (SoC) for the prevention of CIN, with a low absolute neutrophil (N) count (ANC) week 1 after chemotherapy (chemo) with normalization in week 2. Breakthrough designation agent from FDA, Plin, a novel, non-G-CSF agent for the prevention of CIN, produces a normal ANC in week 1 of cycle (C) 1 by potentially protecting progenitor cells in bone marrow from chemo assault, and also has anticancer activity (Blayney, St Gallen 2019; ASCO 2019). Here we report data from a pre-specified interim analysis from PROTECTIVE-1 (Study 105; NCT03102606). Methods: Breast cancer (BC), lung (NSCLC) and prostate cancer (HRPC) pts with at least 1 risk factor as per NCCN, received docetaxel (Doc) 75 mg/m2 with either Peg 6mg (n=53) or Plin 40 mg (n=52) over 4 cycles, and had ANC blood draws on Day (D) 1, 2,6,7,8,9,10,15 in C1 (Covance Central Laboratory). Plin was given on D1, as a 30 min IV infusion, 30 min after Doc, and Peg, 24 hrs after Doc. Primary objective was to demonstrate non-inferiority (NI) of SA Plin vs SA Peg for duration of severe neutropenia (DSN) in C1. NI of Plin vs Peg would be declared if the upper limit of 95% confidence interval for the mean DSN difference between Plin and Peg would be <0.65 day. Other endpoints included C1 platelet count, C1 bone pain scores (validated questionnaire), C1-4 clinical sequelae of CIN through [febrile neutropenia (FN), infection, antibiotic and hospitalization rate, and Doc discontinuation (Discont) and delays], and safety (AEs, hematology and chemistry, vital signs) Results: Predefined DSN NI criterion between SA Plin and SA Peg was met. C1 Grade 4 toxicity was not different between Plin and Peg (p=NS). Clinical sequelae of CIN were comparable or slightly better for Plin vs Peg (see Table). Plin caused less bone pain (p=0.01) and less thrombocytopenia (p<0.0001 on D15) vs Peg. AE frequency and overall safety was comparable for SA Plin and SA Peg. Conclusions: SA Plin has efficacy for Doc CIN prevention non-inferior compared to SoC Peg, and accordingly has comparable (or numerically better) profile for clinical sequelae of CIN. Plin has an advantage for bone pain, platelet counts, convenience of use (same day vs next day dosing) over SoC Peg and has anticancer activity. Clinical trial information: NCT03102606. [Table: see text]
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Winaktu, George, Lalu Mulyadi, and Edi Hargono DP. "THE SCALE OF PRIORITY FOR THE CONSTRUCTION OF IRRIGATION CHANNELS FOR STAKEHOLDERS PERCEPTIONS OF THE IRRIGATION SERVICE IN SIDOARJO REGENCY." Journal Innovation of Civil Engineering (JICE) 1, no. 1 (November 2, 2020): 18. http://dx.doi.org/10.33474/jice.v1i1.9059.

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Sidoarjo Regency is one of the megapolitan Gerbang Kertosusilo. The planted area during the rainy season and dry season reaches 30,000 ha. The area of paddy fields continues to decline, namely 26,334 ha (2002), 22,460 ha (2010), and an estimated 13,544 ha (2009–2029). Sidoarjo Regency Irrigation Service as executor of irrigation management is of course inseparable from construction project activities. In the implementation of the construction of new irrigation networks as well as in rehabilitation and maintenance, it is necessary to implement project management. Before the project is implemented, it must first be submitted through proposals from the village level. In following up the proposal the writer used the Analytic Hierarchy Process (AHP) analysis method. With four aspects that affect the determination of the proposal: The results of the analysis obtained the weight of each criterion as follows: Service Area (ha) 0.3179, Cost 0.3159, Benefits 0.3217, and Network Conditions 0.0445. The results of the above analysis obtained priority ranking from the first to the last sequence as follows: Plengsengan Gedangrowo Channel, Normalization of Reform Channels, Installation of floodgates, Plengsengan ChannelsDs. Suwaluh, Rehabilitation of Ketawang Canal Kec. Sukodono, Rehabilitation of Candi Subdistrict Channel, Plengsengan Channel Ds. Suwaluh, Plengsengan Channels Purboyo II Ds. Popoh, Plengsengan Irrigation Channels Dsn. Kesimbuk, Plengsengan Channel Mangetan Kanal.
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Mittempergher, Lorenza, Iris de Rink, Marja Nieuwland, Ron M. Kerkhoven, Annuska Glas, Rene' Bernards, and Laura van't Veer. "High concordance for MammaPrint 70 genes by RNA next generation sequencing." Journal of Clinical Oncology 30, no. 15_suppl (May 20, 2012): 3065. http://dx.doi.org/10.1200/jco.2012.30.15_suppl.3065.

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3065 Background: The development of new biomarkers often requires fresh frozen (FF) samples. Recently we showed that microarray gene expression data generated from FFPE material are comparable to data extracted from the FF counterpart, including known signatures such as the 70-gene prognosis signature (Mittempergher L et al., 2011). As described by Luo et al (2010) RNA profiling using next generation sequencing (RNA-Seq) is now applicable to archival FFPE specimens. Methods: Technical performance and the comparison between the RNA-Seq 70-gene read-out and the MammaPrint test (Glas et al., 2006) is evaluated in a series of 15 patients (11/15 with matched FFPE/FF material). RNA-Seq was carried out using minor adjustments of the Illumina TruSeq RNA preparation method. RNA sequencing libraries were prepared starting from 100ng of total RNA. Next, the DSN (Duplex-Specific Nuclease) normalization process was used to remove ribosomal RNA and other abundant transcripts (Luo et al, 2010). The libraries were paired-end sequenced on the Illumina HiSeq 2000 instrument with multiplexing of 4 libraries per lane. The resulting sequences were mapped to the human reference genome (build 37) using TopHat 1.3.1(Trapnell et al., 2009). The HTSeq-count tool was used to generate the total number of uniquely mapped reads for each gene. Results: Between 14% and 45% of the total number of reads were assigned to protein-coding genes. The minimum coverage per 1000bp of CDS was 38 reads. The 70 MammaPrint genes were successfully mapped to the RNA-Seq transcripts. We calculated the Pearson correlation coefficient between the centroids of the original good prognosis template (van’t Veer et al., 2002) and the 70-gene read count determined by RNA-Seq of each sample. Predictions based on the 70-gene RNA-Seq data showed a high agreement with the actual MammaPrint test predictions (>90%), irrespective of whether the RNA-seq was performed on FF or FFPE tissue. Conclusions: New generation RNA-sequencing is a feasible technology to assess diagnostic signatures.
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Jing, Yongcheng, Xiao Liu, Yukang Ding, Xinchao Wang, Errui Ding, Mingli Song, and Shilei Wen. "Dynamic Instance Normalization for Arbitrary Style Transfer." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 4369–76. http://dx.doi.org/10.1609/aaai.v34i04.5862.

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Prior normalization methods rely on affine transformations to produce arbitrary image style transfers, of which the parameters are computed in a pre-defined way. Such manually-defined nature eventually results in the high-cost and shared encoders for both style and content encoding, making style transfer systems cumbersome to be deployed in resource-constrained environments like on the mobile-terminal side. In this paper, we propose a new and generalized normalization module, termed as Dynamic Instance Normalization (DIN), that allows for flexible and more efficient arbitrary style transfers. Comprising an instance normalization and a dynamic convolution, DIN encodes a style image into learnable convolution parameters, upon which the content image is stylized. Unlike conventional methods that use shared complex encoders to encode content and style, the proposed DIN introduces a sophisticated style encoder, yet comes with a compact and lightweight content encoder for fast inference. Experimental results demonstrate that the proposed approach yields very encouraging results on challenging style patterns and, to our best knowledge, for the first time enables an arbitrary style transfer using MobileNet-based lightweight architecture, leading to a reduction factor of more than twenty in computational cost as compared to existing approaches. Furthermore, the proposed DIN provides flexible support for state-of-the-art convolutional operations, and thus triggers novel functionalities, such as uniform-stroke placement for non-natural images and automatic spatial-stroke control.
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Saputri, Riska Nurul, Ichwana Ichwana, and Agus Arip Munawar. "Prediksi Kadar Salinitas, pH dan C-Organik Tanah Menggunakan Near Infrared Kecamatan Baitussalam Kabupaten Aceh Besar." Jurnal Ilmiah Mahasiswa Pertanian 4, no. 4 (March 31, 2020): 542–51. http://dx.doi.org/10.17969/jimfp.v4i4.12940.

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Abstrak. Akuisisi spektrum Near Infrared Reflectance Spectroscopy (NIRS) terkait kualitas dan kondisi tanah telah banyak dilakukan dalam berbagai penelitian. Pada penelitian ini menggunakan model prediksi Partileal Least Squares (PLS) dengan metode koreksi spektrum Mean Normalization (MN), Savitzky-Golay Smoothing, dan kombinasi Mean Normalization (MN) dan Savitzky-Golay Smoothing. Sampel tanah yang digunakan berasal dari Kecamatan Baitussalam Kabupaten Aceh Besar karena dianggap sesuai untuk prediksi kadar salinitas, pH dan C-Organik tanah. Hasil dari penelitian menunjukkan adanya korelasi antara prediksi Near Infrared Reflectance Spectroscopy (NIRS) dengan hasil aktual laboratorium setelah dilakukan pembangunan model prediksi Partileal Least Square (PLS) dan dievaluasi dengan parameter statistika; penggunaan pretreatment Mean Normalization (MN) merupakan metode terbaik atau pilihan, dimana dapat meningkatkan keakuratan hasil prediksi kadar salinitas, pH dan C-Organik tanah.Prediction of Salinity, pH and C-Organic Soils Level Using Near in Baitussalam Regency, Aceh Besar RegencyAbstract. Near Infrared Reflectance Spectroscopy (NIRS) spectrum acquisition related to soil quality and condition has been carried out in various studies. This study used prediction model Partileal Least Squares (PLS) with the spectrum correction methods used are Mean Normalization (MN), Savitzky-Golay Smoothing, and Combination of Mean Normalization (MN) and Savitzky-Golay Smoothing. The soil samples used were from Baitussalam regency, Aceh Besar regency because they were considered suitable for the prediction of salinity, pH and C-Organic soils. The results of this study showed a correlation between the prediction of Near Infrared Reflectance Spectroscopy (NIRS) with the actual results of the laboratory after the construction of the prediction model Partileal Least Square (PLS) and and evaluated with statistical parameters; the use of pretreatment Mean Normalization (MN) is the best or preferred spectrum correction method, which can improve the accuracy of the predicted results of salinity, pH and C-Organic soil.
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Pires, Ivan Miguel, Faisal Hussain, Nuno M. M. Garcia, Petre Lameski, and Eftim Zdravevski. "Homogeneous Data Normalization and Deep Learning: A Case Study in Human Activity Classification." Future Internet 12, no. 11 (November 10, 2020): 194. http://dx.doi.org/10.3390/fi12110194.

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One class of applications for human activity recognition methods is found in mobile devices for monitoring older adults and people with special needs. Recently, many studies were performed to create intelligent methods for the recognition of human activities. However, the different mobile devices in the market acquire the data from sensors at different frequencies. This paper focuses on implementing four data normalization techniques, i.e., MaxAbsScaler, MinMaxScaler, RobustScaler, and Z-Score. Subsequently, we evaluate the impact of the normalization algorithms with deep neural networks (DNN) for the classification of the human activities. The impact of the data normalization was counterintuitive, resulting in a degradation of performance. Namely, when using the accelerometer data, the accuracy dropped from about 79% to only 53% for the best normalization approach. Similarly, for the gyroscope data, the accuracy without normalization was about 81.5%, whereas with the best normalization, it was only 60%. It can be concluded that data normalization techniques are not helpful in classification problems with homogeneous data.
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Imjidee, Nuchanad, and Soh Bee Kwee. "Normalization Techniques For Translating Cultural - Specific Expressions." LSP International Journal 7, no. 2 (November 30, 2020): 1–18. http://dx.doi.org/10.11113/lspi.v7.15264.

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For readability of audience in target culture (TC), cultural-specific expressions (CSEs) which have been embedded with specific characteristics, need specific techniques to transfer them into target language (TL). This study aims to identify normalization techniques (NTs) from domestication strategies to show that they are particularly necessary for CSE translation. Based on the previous studies of different scholars, the overlap between domestication and normalization is clarified, following by the clarification of the relation between normalization and the use of translator’s subjectivity, as well as the distinction between CSEs and universals for simple explanation on what normalization and CSE are. Last but not least, the overlapping NTs, classified from domestication strategies will be unified. Finally, illustration of normalization of CSEs, selected from Thai target text (TT) and its English source text (ST), The Da Vinci Code (DVC), a novel by Dan Brown, will give an overt explanation of how each NT is used to deal with CSEs in order to show relation between characteristics of CSEs and each NT. This will answer why NTs are necessary.
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Naumenko, S. V. "Questions of Orthography Normalization in «Tolkovyi slovar’ russkogo yazyka» after edition of D.N. Ushakov." Russian language at school 79, no. 9 (November 15, 2018): 67–74. http://dx.doi.org/10.30515/0131-6141-2018-79-9-67-74.

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The article is dedicated to otrthographical content of the first soviet standard «Tolkovyi slovar’ russkogo yazyka» after edition of D.N. Ushakov. The specific aspects of spelling are analyzed in the context of orthographic situation in postreformed period and D.N. Ushakov’s views. It is set the approaches to normalization of such controversial groups of writing as compound adjectives with the meaning of colour shade, stressed vowels о/е after hushings in nouns’ suffixes, н/нн in suffixes of adjectives and participles. The basic groups of orthographic variants in the dictionary are defended, their normative status is determined. It is defended the influence of the dictionary on the normalization postreform spelling.
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Dissertations / Theses on the topic "DSN normalization"

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Marson, Lorena. "Phage-display epitope library development for biomarkers identification in autoimmune diseases of the Central Nervous System." Doctoral thesis, Università degli studi di Trieste, 2012. http://hdl.handle.net/10077/7405.

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2010/2011
The principal aim of my PhD was the setting of a protocol for the creation of phage libraries to display cDNA fragments encoding real ORF sequences, that could correspond to potential epitopes. A similar phage display library contains all the potential ORF repertoire of a cell or tissue. This tool can be specially used in the study of autoimmune diseases to perform different kind of analysis, such as the identification of epitopes involved in pathological reaction, the comparison between healthy and pathological conditions, or between different pathological conditions. A complex protocol was developed. It provides for: cDNA normalization, cDNA fragmentation to obtain peptides with useful size, and ORF enrichment to obtain really coding fragments. With this system we have created a epitopes library from Human brain mRNA.
Il principale obiettivo del mio lavoro di ricerca è la messa a punto di un protocollo per la costruzione di librerie fagiche di frammenti di cDNA codificanti per frammenti ORF, e che quindi potrebbero corrispondere a potenziali epitopi. Questo tipo di librerie contengono, potenzialmente, tutto il repertorio ORF di una cellula o di un tessuto e possono quindi essere utilizzate nello studio di malattie autoimmuni al fine di identificare nuovi epitopi coinvolti nella risposta immunitaria, di fare un confronto tra lo stato patologico e quello sano o tra diverse condizioni patologiche. Abbiamo quindi messo a punto un complesso protocollo che prevede: la normalizzazione del cDNA, la sua frammentazione per ottenere peptidi di dimensioni opportune, e l'arricchimento in frammenti realmente codificanti. Con questo sistema abbiamo realizzato una libreria di epitopi a partire da mRNA di cervello umano.
XXIV Ciclo
1984
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Elmqvist, Lisa, and Sara Johnsson. "För varje gång tror man att det är den sista gången... : En kvalitativ studie av kvarhållande mekanismer i biografiska skildringar av kvinnors erfarenheter av mäns våld i nära relation." Thesis, Linnéuniversitetet, Institutionen för socialt arbete (SA), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-59853.

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This thesis analyses women’s stories and experiences of living in a relationship with domestic violence. The study is done in order to gain a deeper understanding of what the retaining mechanisms are that prevents women from leaving their partner. The research is carried out by the usage of qualitative textual analysis of autobiographical novels. With the support of the theories of shame and the normalization process it is possible to accentuate how women are staying in their relationships because of the mental degradation caused by the man. The retaining mechanisms are numerous and complex and both socio-economic and psychological factors contribute to that women stay in the relationship, which previous research also has concluded. This research concludes that the retaining mechanisms evolve and change throughout the relationship. The women’s reason for staying in the relationship is in the beginning their love for the man but later on in the relationship it evolves further into embracing the reality of the man and making the reasons for the violence legitimate
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Adolfsson, Tim, and Adam Eriksson. "Den mediala diskursordningen i förändring : En jämförande kritisk diskursanalys av medias framställning av Sverigedemokraterna." Thesis, Linköpings universitet, Statsvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157399.

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The Sweden democrats has for a long time been labelled as a racist party in swedish media. Due to the problems related to the members of the party in the 90s, where members were subject to criminal actions and racist scandals, the media had focus on the racist actions and labelled the party as a racist party therefore. How does the discourse present itself today? The purpose is to make a comparative study between the year 2014 and 2018/2019 and to research if the discourse surrounding the sweden democrats has changed during this time. Relevance for the study is how we discover, categorize and give the discourses names that helps us and also the reader to understand the process about how the media picture Sweden democrats. Our method is a comparative critical discourse analysis that we are going to use on articles published in the two largest newspapers in sweden, Aftonbladet and Expressen. We will locate the surrounding discourses from 2014 at first and then locate what kind of discourses is surrounding the party in 2018/2019. The main discourse from 2014 is the racist discourse, it´s present in nearly every article we analyse. With the racist discourse, the big difference is that the discourse is changing. When we look upon 2018/2019, new discourses take place, the new discourses we locate it’s the right populism-, scandal- and normalization discourse, the rasism discourse is still present but not so extensive as during 2014. During 2014 the racism discourse depends on the scandal discourse, this changes significant, the scandal discourse is no longer in 2018/2019 dependent on the racism discourse, but it acutally transforms into its own discourse. The focus on racism is almost gone and new scandals take place instead. In combination with the normalization discourse we can se that there has been a change, actually a big change in the media discourse surrounding the Sweden democrats.
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Jansson, Mari, and Molly Tally. "Är cannabis den nya folkölen? : Unga cannabisanvändares tal om cannabis." Thesis, Stockholms universitet, Institutionen för socialt arbete - Socialhögskolan, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-118085.

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The aim of this study was to examine young adult cannabis users’ attitudes towards cannabis and their perception of the normalization of cannabis. The purpose was also to explore how their views of cannabis correspond with norms regarding cannabis. This study is based on interviews with five young adult cannabis users. The theoretical framework is based on Parker’s normalization thesis, Goffman’s notion of stigma, Becker’s definition of outsiders and the definition of social identity developed by Stone. The theory of cognitive dissonance was also used to analyze the empirics. The result shows that the interviewees experience a normalization of cannabis, although a process of stigmatization cannot be disregarded. The result also indicates that the respondent’s views of cannabis do not conform to society. The main conclusions are that cannabis is normalized in certain groups, which creates a discrepancy between the attitudes of cannabis users and Swedish society. The reasons for using cannabis are individual and one recurrent explanation is that the respondents experience less negative consequences of cannabis, compared to the effects of alcohol. These findings are supported by earlier research. In order to develop a constructive dialogue about cannabis, the understanding of these attitudes is important for social work.
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Fjällström, Oscar. "Användningen av narkotika bland ungdomar: Är den beroende av hur mycket alkohol de konsumerar?" Thesis, Mälardalens högskola, Akademin för hälsa, vård och välfärd, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-36122.

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Bakgrund: Konsumtionen av alkohol har i stort minskat i hela västvärlden, denna nedåtgående trend är extra tydlig bland ungdomar. Fler och fler ungdomar konsumerar mindre och många väljer att helt avstå från att konsumera alkohol. Denna trend är förstås positiv på många sätt men väcker även frågor om hur och varför denna trend uppkommit. Samtidigt som konsumtionen av alkohol har minskat har studier visats att vissa former av narkotika blir vanligare och har därmed skapat teorin om ett eventuellt samband. Syfte: Syftet med denna studie är att analysera ungdomars minskade alkoholkonsumtion och koppla detta till eventuell ökning eller minskning i brukandet av narkotika bland de som inte konsumerar, konsumerar måttligt samt de som konsumerar mycket alkohol. Metod: Studiepopulationen består av 71 852 ungdomar i åldern 15-16 år från hela Sverige. Studien är en upprepad tvärsnittsstudie med data från åren 2001 till 2014. Den insamlade data analyseras med hjälp av flera logistiska regressioner. Resultat: Resultatet visar att de ungdomar som inte konsumerar alkohol inte använder narkotika eller cannabis i större utsträckning, de som konsumerar måttligt och konsumerar mycket använder dock narkotika och cannabis i större utsträckning. Slutsats: Sambandet mellan narkotika- och cannabisanvändandet och de ungdomar som konsumerar måttligt och mycket kan stärkas. Normalitetsprincipens hypotes att vid tider med låg totalkonsumtion av alkohol är det de som konsumerar mycket som använder narkotika och cannabis stärks av resultatet.
Background: Consumption of alcohol has declined substantially throughout the western world, this downward trend is extra clear among adolescents. More and more adolescents drink less and many choose to completely refrain from consuming alcohol. This trend is of course positive in many ways but also raises questions about how and why this trend has arisen. While alcohol consumption has decreased, studies have shown that certain forms of drugs are common and have thus created the theory of a possible connection. Aims: The purpose of this study is to analyze adolescents reduced alcohol consumption and link this to any increase or decrease in the use of narcotics among those who do not drink, drink moderately, and those who drink a lot. Methods: The study population consists of 71 852 adolescents aged 15-16 years from all over Sweden. The study is a repeated cross-sectional study with data from 2001 to 2014. The collected data is analyzed using multiple logistic regressions as well as an interaction regression. Results: The results show that the non-drinking adolescents do not use drugs or cannabis to a greater extent, but those who drink moderately and drink a lot, use narcotics as well as cannabis in greater extent. Conclusions: The relationship between narcotics/cannabis use and the adolescents who drink moderately and heavy can be strengthened. The results are consistent with the principle of normality which shows that at times with low total consumption of alcohol the heavy consumers of alcohol use more narcotics and cannabis.
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Koláčková, Terezie. "Pro šťastný a spokojený život? Mezinárodní den žen, první den školního roku a Závody míru v období normalizace jako příklady ideologické praxe." Master's thesis, 2015. http://www.nusl.cz/ntk/nusl-334668.

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The topic of this thesis is analysis of the International Women's Day, Peace Race and first day of a school year as normalization rituals. The aim of these rituals was to mediate and consolidate the official state ideology and transform the whole society. Each of these events is analysed in three steps - in the first step is described the ideological content, in the second step is probed the way of projecting this ideology into the rituals and in the third step are analysed the actors themselves. If they adopted the ideological practise and what were their motivation to participate in these rituals.
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Book chapters on the topic "DSN normalization"

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Zheng, Huilin, Syed Waseem Abbas Sherazi, Sang Hyeok Son, and Jong Yun Lee. "A Deep Neural Network Model for the Prediction of Major Adverse Cardiovascular Event Occurrences in Patients with non-ST-Elevation Myocardial Infarction." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2021. http://dx.doi.org/10.3233/faia210172.

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Cardiovascular disease (CVD) is one of the major causes of death all over the world and the mortality rate is higher than other causes. Hence, we propose a novel deep neural network (DNN)-based prediction model for the major adverse cardiovascular event (MACE) occurrences in patients with non-ST-Elevation myocardial infarction (NSTEMI) to improve the prediction accuracy of CVD. The research contents are described as follows. First, for the experiment, we use the Korean Acute Myocardial Infarction Registry (KAMIR-NIH) dataset with 2 years follow-ups and then preprocess the extracted data, such as processing the missing values, solving the imbalance problem, and applying the normalization meth to scale all the datasets in the same range for the experiment. Then we design a DNN-based prognosis model for the occurrences of MACE in NSTEMI patients. Finally, we evaluate the proposed model’s performance and compare it with several applied machine learning algorithms, such as logistic regression, K-Nearest Neighbors, decision tree, and support vector machine. The result shows that the performance of our proposed method outperformed other machine learning-based prediction models.
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Trimble, Michael R., Kousuke Kanemoto, and Dale C. Hesdorffer. "Epilepsy and psychosis." In Psychotic Disorders, edited by Peter Buckley and Brian Miller, 85–92. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780190653279.003.0011.

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This chapter reviews the important place that epilepsy has had in developing concepts of psychosis in general and for understanding some of the basic biological issues of schizophrenia and bipolar disorder. It starts out by offering a historical introduction noting important observations stemming from the nineteenth century. It reviews the complexity of classification in this area, highlighting in particular problems with Diagnostic and Statistical Manual, 5th edition (DSM-5). Epidemiology is followed by brief discussions of the relationship between seizures and psychosis, commenting on some paradoxes revealing why postictal psychoses are underdiagnosed, and the pitfalls of missing forced normalization, a concept that relates to the worsening of behavior with the cessation of seizures in people with intractable epilepsy. Finally, the chapter provides some guides to management of patients with epilepsy who have comorbid psychiatric disorders.
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Singh, Mahesh K., D. Lavanya, Ch Asha Madhuri, P. Ramesh, and V. Satyanarayana. "Improving Speech Quality Using Deep Neural Network-Based Manipulation of Cepstral Excitation." In Advances in Transdisciplinary Engineering. IOS Press, 2023. http://dx.doi.org/10.3233/atde221279.

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The source-filter paradigm, which is used in human speech development, would be used in this proposal to increase speech quality. Excitation signals in the cepstral domain are amplified using a sophisticated neural network (DNN). As a result, they compared the effects of normalization on two different types of goals. Using the cepstral excitation manipulation approach (CEM) instead of traditional signal processing-based cepstral excitation, we were able to reduce noise by 1.5 dB. Studying various combinations of data demonstrates that envelope and excitation enhancement are also present. When adopting a low signal-to-noise ratio, good speech intelligibility can be achieved even with a lot of noise attenuation. It can be shown that a traditional pure stats system can attenuate noise better than its modern counterpart because it is older and has a larger sample size. Older classic pure stats systems use less processing power, hence they’re more efficient. We’ve created a new a priori method for measuring SNR for voice-enhancement apps. The cepstral domain spectral envelope is estimated using a DNN. We can improve the quality of low-order noise models while also providing listeners with a natural and pleasurable background noise experience using our CEM approach.
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Wittmann, Rebecca. "The Normalization of Nazi Crime in Postwar West German Trials / Die Normalisierung von NS-Kriegsverbrechen in den Nachkriegs-Prozessen der Bundesrepublik Deutschland." In The Nuremberg Trials: International Criminal Law Since 1945 / Die Nürnberger Prozesse: Völkerstrafrecht seit 1945, edited by Herbert R. Reginbogin and Christoph Safferling. Berlin, Boston: DE GRUYTER SAUR, 2006. http://dx.doi.org/10.1515/9783110944846.209.

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Conference papers on the topic "DSN normalization"

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Kim, Mijung, and K. Selçuk Candan. "Decomposition-by-normalization (DBN)." In the 21st ACM international conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2396761.2396809.

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Chen, Hao, Zhanfeng Mo, Zhouwang Yang, and Xiao Wang. "Theoretical Investigation of Generalization Bound for Residual Networks." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/288.

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This paper presents a framework for norm-based capacity control with respect to an lp,q-norm in weight-normalized Residual Neural Networks (ResNets). We first formulate the representation of each residual block. For the regression problem, we analyze the Rademacher Complexity of the ResNets family. We also establish a tighter generalization upper bound for weight-normalized ResNets. in a more general sight. Using the lp,q-norm weight normalization in which 1/p+1/q >=1, we discuss the properties of a width-independent capacity control, which only relies on the depth according to a square root term. Several comparisons suggest that our result is tighter than previous work. Parallel results for Deep Neural Networks (DNN) and Convolutional Neural Networks (CNN) are included by introducing the lp,q-norm weight normalization for DNN and the lp,q-norm kernel normalization for CNN. Numerical experiments also verify that ResNet structures contribute to better generalization properties.
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Plank, Barbara, Kristian Nørgaard Jensen, and Rob van der Goot. "DaN+: Danish Nested Named Entities and Lexical Normalization." In Proceedings of the 28th International Conference on Computational Linguistics. Stroudsburg, PA, USA: International Committee on Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.coling-main.583.

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Plank, Barbara, Kristian Nørgaard Jensen, and Rob van der Goot. "DaN+: Danish Nested Named Entities and Lexical Normalization." In Proceedings of the 28th International Conference on Computational Linguistics. Stroudsburg, PA, USA: International Committee on Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.coling-main.583.

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Shaoze Lei and Changshui Zhang. "Solve JIGSAW puzzle problems with Co-Normalization." In 2011 17th International Conference on Digital Signal Processing (DSP). IEEE, 2011. http://dx.doi.org/10.1109/icdsp.2011.6004872.

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Cruz-Guerrero, Ines A., Raquel Leon, Liliana Granados-Castro, Himar Fabelo, Samuel Ortega, Daniel U. Campos-Delgado, and Gustavo Marrero Callico. "Reflectance Calibration with Normalization Correction in Hyperspectral Imaging." In 2022 25th Euromicro Conference on Digital System Design (DSD). IEEE, 2022. http://dx.doi.org/10.1109/dsd57027.2022.00120.

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Chichyang Chen, Rui-Lin Chen, and Ming-Hwa Sheu. "A fast additive normalization method for exponential computation." In Proceedings. Euromicro Symposium on Digital System Design. IEEE, 2003. http://dx.doi.org/10.1109/dsd.2003.1231955.

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Ning, Hongke, Y. X. Zou, and Xuyan Hu. "A new score normalization for text-independent speaker verification." In 2014 International Conference on Digital Signal Processing (DSP). IEEE, 2014. http://dx.doi.org/10.1109/icdsp.2014.6900743.

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Liao, Qisheng, Xu Wu, Xiaqing Xie, Jingchen Wu, Lirong Qiu, and Lijuan Sun. "Adversarial Residual Variational Graph Autoencoder with Batch Normalization." In 2021 IEEE Sixth International Conference on Data Science in Cyberspace (DSC). IEEE, 2021. http://dx.doi.org/10.1109/dsc53577.2021.00013.

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Lei, Baiying, and Man-Wai Mak. "Sound-event partitioning and feature normalization for robust sound-event detection." In 2014 International Conference on Digital Signal Processing (DSP). IEEE, 2014. http://dx.doi.org/10.1109/icdsp.2014.6900692.

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Reports on the topic "DSN normalization"

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Tayeb, Shahab. Taming the Data in the Internet of Vehicles. Mineta Transportation Institute, January 2022. http://dx.doi.org/10.31979/mti.2022.2014.

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As an emerging field, the Internet of Vehicles (IoV) has a myriad of security vulnerabilities that must be addressed to protect system integrity. To stay ahead of novel attacks, cybersecurity professionals are developing new software and systems using machine learning techniques. Neural network architectures improve such systems, including Intrusion Detection System (IDSs), by implementing anomaly detection, which differentiates benign data packets from malicious ones. For an IDS to best predict anomalies, the model is trained on data that is typically pre-processed through normalization and feature selection/reduction. These pre-processing techniques play an important role in training a neural network to optimize its performance. This research studies the impact of applying normalization techniques as a pre-processing step to learning, as used by the IDSs. The impacts of pre-processing techniques play an important role in training neural networks to optimize its performance. This report proposes a Deep Neural Network (DNN) model with two hidden layers for IDS architecture and compares two commonly used normalization pre-processing techniques. Our findings are evaluated using accuracy, Area Under Curve (AUC), Receiver Operator Characteristic (ROC), F-1 Score, and loss. The experimentations demonstrate that Z-Score outperforms no-normalization and the use of Min-Max normalization.
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