fairdataihub/poster-sentry-training-data huggingface dataset:
Evelien.LootensStael@UGent.be tel: +32 9 264 68 38 gsm: +32 479 96 24 47 CONTACT 05 Evolution of recovery and desistance paths Challenges faced and solutions proposed by women POLICY INFLUENCE A green paper INFORM JUSTICE AND TREATMENT PROFESSIONALS Informative one-pagers Practice-oriented articles ACCESSIBLE DISSEMINATION Host an inspiration and information day Publish dissertation as a book for wider reach Launch a website providing resources SCIENTIFIC IMPACT SOCIETAL IMPACT 04 DOCTORAL DISSERTATION SCIENTIFIC ARTICLES GOALS RECOVE R Y D E SIST ANCE Further evolution recovery and desistance 12 MONTHS POST-RELEASE Early post-release period critical for relapse risk Discuss evolution recovery and desistance 3-6 MONTHS POST-RELEASE DESISTANCE RECOVERY PERSISTENCE PERSISTENCE ONSET ONSET CRIME DRUG USE DURING INCARCERATION LIFE STORY INTERVIEWS 03 1. How do female RECOVERY pathways evolve? 2. How do female DESISTANCE pathways evolve? 3. What is the RELATIONSHIP BETWEEN RECOVERY AND DESISTANCE in women? 4. What CHALLENGES do women face in their recovery and desistance pathways? 5. What SOLUTIONS do women propose to overcome obstacles in their recovery and desistance pathways? 02 QUESTIONS Greater stigma faced by women using drugs Different criminal trajectories compared to men UNIQUE CHALLENGES Women’s recovery from alcohol and illicit drug use Women’s desistance from crime KNOWLEDGE GAP INTRODUCTION 01 TURNING THE PAGE Women’s Narratives of Overcoming Crime and Addiction EVELIEN LOOTENS-STAEL - PROF. DR. CHARLOTTE COLMAN - PROF. DR. WOUTER VANDERPLASSCHEN
Unraveling Solar analogs from PLATO mission: Rotation and activity recovery from simulated light curves Eduardo Velloso1, Leandro de Almeida4, José Dias do Nascimento Jr1., Francys Anthony, Jefferson da Costa2, Reza Samadi3 Synthetic Sample: In order to assess our ability to recover information from PLATO light curves, we simulated a set of synthetic light curves with both astrophysical modulation and realistic instrumental artifacts. The noise-free light curves were modeled as a linear superposition of starspot rotation and evolution, planetary transits, granulation and oscillations. The simulation of short-timescale effects such as granulations and oscillations are performed via the PLATO Solar-like Light- curve Simulator (PSLS: Samadi et al. 2019). Common instrumental artifacts include data gaps between quarters as well as an exponential thermal settling at the beginning of each quarter. We included data gaps from 1% up to 5% of the 90-day quarter duration, in accordance with the desirable requirements for planet-finding during nominal science operations of PLATO. Methods: To recover the rotational modulation, we applied a series of steps to detrend and stitch the light curve throughout the quarters. Our method identified the discontinuities and separate then from possible transits in between the quarters. Once we have corrected light curves we separated the rotation modulation from the transit signal using the DT method (de Almeida et al. 2020). This method allows us to separate the apparent modulation caused by spots from the transit signal in low cadence light curves. We see that the determination of rotation periods takes place precisely at all levels of activity. From the stars with clear rotation determination (black dots in right figure), we conclude that 92% of the periods found by us are within the 10% confidence interval imposed by the gray region. (1)Departamento de Fisica Teorica e Experimental, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil; (2)Escola de Ciencias e Tecnologia, ECT, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil;(3)LESIA, Observatoire de Paris, Universite PSL, CNRS, Sorbonne Universite, Univ. Paris Diderot, Sorbonne Paris Cite, France; (4)Laboratório Nacional de Astrofísica, Rua Estados Unidos 154, 37504-364, Itajubá - MG, Brazil. References: Samadi, R. et al. 2019 https://doi.org/10.1051/0004-6361/201834822 de Almeida, L. et al. 2020 https://doi.org/10.1007/s10686-020-09664-x
Positive feedbacks of whole rhizospheric microbial community inoculation on plant performance of three legume shrubs grown on barren quarry deposits. Mantakas G.1, Leventis G.2, Stathopoulou D.2, Petrakis G.3, Tsiknia M.2 Gonou Ζ.4, Ehaliotis C.2 1Hellenic Agricultural Organization “Demeter”, Institute of Mediterranean Forest Ecosystems, Athens, Greece 2Soil Science and Agricultural Chemistry Lab, Dept. of Natural Resources and Agricultural Engineering, Agricultural University of Athens, Athens, Greece 3Rehabilitation Manager, Imerys Industrial Minerals Greece S.A. 4Department of Ecology and Systematics, Faculty of Biology, National and Kapodistrian University of Athens, Greece contact e-mail: ehaliotis@aua.gr Αrid and semi-arid ecosystems of the Mediterranean basin are characterized by low nutrient availability and extended dry and hot periods which drive the community composition and structure of their biota. Dryland legume shrubs, mainly of the Garrigue (Phrygana) ecozone, constitute a critical component of their plant communities. Mutualistic associations between these plants and their rhizospheric microbial communities strengthen their tolerance to abiotic and biotic stresses and enhance water and nutrient use efficiency. It is therefore reasonable to assume, that rhizospheric microbial communities derived from the natural vegetation of conspecifics, would improve plant establishment and performance, and restoration of soil functions, in baren areas covered with quarry deposits in these regions. Here, we investigate the effects of plant inoculation with the whole rhizospheric microbial communities (crude inocula) derived from their naturally occurring conspecifics on early growth and on establishment of symbiosis with rhizobia and arbuscular mycorrhizal fungi (AMF) for three pioneer legume shrubs, in the island of Milos, Medicago arborea, Anthyllis hermanniae and Calicotome villosa. Three pioneer legume shrubs, indigenous to the island of Milos Seeds of each plant species were sown in pots filled either with quarry deposits material derived from quarrying operations at Milos Island – Greece (inorganic substrate) or with a typical propagation substrate, high in organic matter (organic substrate). Inoculation was performed twice, at sowing and two weeks later. Harvest carried out after 160 days. We determined: Total plant biomass Number of nodules per plant AMF root colonization Medicago arborea Anthyllis hermanniae Calicotome villosa Collection of fresh rhizospheric soil from each plant species to create crude inoculum – soil slurry (1:10 soil:H20 w/v) that contains the whole rhizospheric microbial communities Experimental set up
Results from 138.6 Days of Data Measuring Solar Neutrino Oscillations in the SNO+ Detector Daniel Cookman, on behalf of the SNO+ collaboration The SNO+ Experiment Detection of Solar Neutrinos in Scintillator ●A 780 tonne, multi-purpose liquid scintillator neutrino experiment 2km underground [1] Data & Method 8B solar neutrino survival probabilities, versus true neutrino energy for various solar neutrino oscillation parameters Solar Neutrino Production Matter oscillations in the Sun Vacuum oscillations Matter oscillations in the Earth Detection in SNO+ Combination with Reactor Analysis 8B solar neutrino flux global fit constraint [2]: References [1] Albanese, V. et al, “The SNO+ Experiment”, JINST (2021) [2] Bergström, J. et al, “Status of Direct Determination of Solar Neutrino Fluxes after Borexino”, JHEP (2024) [3] Esteban, I. et al, “The fate of hints: updated global analysis of three-flavor neutrino oscillations”, JHEP (2020); also NuFIT 5.2 (2022), www.nu-fit.org Detection via neutrino-electron elastic scattering: ●138.6 days of livetime (after cuts) of data with LAB + 2.2 g/L PPO scintillator cocktail ●Cuts applied to triggered events: ●Data & MC binned in 2D: reconstructed energy & radius ●MC fit to data using a binned maximum likelihood test statistic, via Markov-Chain Monte Carlo ●Fit floats θ12, Δm2 21, Φ8B, background rates, and energy scale systematic, according to various constraints 20 second muon & high-NHit veto; Data cleaning cuts Reconstructed energy & radius Removal of coincidences via in-window coincidence classifier and out-of-window tag (BiPo-212/214 and (𝛼,n)) External background removal via classifier Data vs MC comparison, using fit parameters with maximal-likelihood. Combined over all radial bins Bayesian 1σ Credible Interval: Current global fit value by NuFit 5.2 [3]: Results statistically-limited; analysis over increased exposure ongoing ●Likelihood from SNO+ reactor analysis added (see posters 483 & 525) to results of this solar analysis: Difference in cross-section between and , and correlation between and scattered energies, allows for measurement of solar neutrino oscillations daniel.cookman@kcl.ac.uk ●Reactor & solar analyses allow for complementary ways of measuring the same oscillation parameters in the same detector! Methods to further reduce backgrounds being investigated: see poster 255 Data vs MC comparison, for innermost radial slice. Zoomed into low energy region. ●Liquid scintillator held within 6m radius acrylic vessel, surrounded by ultra-pure water shielding ●Scintillation light generated by ionising radiation detected by ~9000 PMTs
What’s Causing That Wobble? Building a Model Comparison Framework for TTV Signals Background and Context Transit Timing Variations (TTVs): - There are hundreds of planet with transit timing variation (TTV) signals. - This number will only grow with TESS, CHEOPS, PLATO, Earth 2.0, etc. - There is no robust model selection framework for differentiating the possibly causes of TTV signals. Learning from exoplanet transit modeling: - BLENDER (Torres et al. 2004, 2011) and Vespa (Morton et al. 2016) take a light curve with a transit-like dip and returned a probabilistic framework for predicted the cause of the transit-like dip. de-wobbler ... an open-source package under development: - A model selection approach to disentangling wobbles caused by TTVs. How can TTVs help us differentiate between orbital architectures? Daniel A. Yahalomi1, David Kipping1, David Nesvorny2, Paul A. Dalba3 1: Columbia University, 2: Southwest Research Institute, Boulder, 3: UC Riverside Exoplanets IV, May 1-6, 2022. … daniel.yahalomi@columbia.edu Case Study... KOI-3678b, an exomoon corridor planet multiple planets near MMR super-period: - Steffen 2006 - Lithwick et al. 2016 chopping signal: - Nesvorny et al. 2013 - Deck and Agol 2015 photodynamical modeling: - SWIFT: Nesvorny et al. 2013 - TTVfast: Deck et al. 2014 Next steps for KOI-3678 analysis: - Compare results from SWIFT multi-planet model with follow-up radial velocity (RV) observations. - Include transit duration variation (TDV) modeling in the SWIFT and LUNA photodynamical models. BLENDER and/or Vespa stellar variability eclipsing binary transit time flux epoch TTV de-wobbler Torres et al. 2004 Torres et al. 2011 Morton et al. 2016 moon exomoon corridor: - Kipping 2020 - Teachey 2021 sinusoidal shape: - Kipping 2009 - Rodenbeck et al. 2020 photodynamical modeling: - Kipping 2011 hierarchical system - Agol et al. 2005 - Heller et al. 2019 stellar variability - Mazeh, Holczer, and Shporer 2015 - Holczer et al. 2015 KOI-3678b transit model: - Period = 160.884 days - Rb / R* = 0.079 KOI-3678 stellar parameters: - R* = 0.92 Rsun (TIC v8.2) - M* = 0.95 Msun (TIC v8.2) KOI-3678 LUNA MAP: - Ms / MP = 0.00496 - Rs / RP = 0.129 - as / RP = 67.4 KOI-3678 SWIFT MAP: - Mb / M* = 9.59 x 10-5 - Mc / M* = 1.99 x 10-4 - Pc = 844.56 days Why can’t these TTVs be caused by a hidden planet in near mean motion resonance? exomoon and multi-planet photodynamical fits epoch number TTVs [min]
Fatty Acids as PET Tracers for Imaging Cardiac Dysfunctions Alessandro Colombano1, Chad Elmore2, Jordi Llop3, Matteo Zanda1 1Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK; 2Early Chemical Development, Pharmaceutical Sciences, IMED Biotech Unit, AstraZeneca, Gothenburg, Sweden, 3Radiochemistry and Nuclear Imaging Group, CIC biomaGUNE, San Sebastián, Spain Email: r01ac16@abdn.ac.uk Heart Failure (HF) is a complex syndrome where the heart is unable to pump enough blood to meet the body’s needs. ATP is the cardiac chemical fuel for this purpose and it is synthesised through the Fatty Acids Oxidation (FAO) pathway: in the healthy heart up to 90% of cardiac energy is synthesised through this pathway!1 A metabolic switch between FAO and glycolysis has been reported during disease progression: in HF early stages the FAO/glycolysis relative rates are unchanged, while in the advances ones there is a FAO downregulation strongly linked with disease progression and severity.2 Hence FAO is a candidate PET biomarker whose assessment would improve early HF diagnosis, patients monitoring and therapy effectiveness. Metabolically trapped probes are particularly interesting because they undergo the FAO generating a radioactive metabolite trapped in the mitochondria reflecting the oxidation rate.3 Background 18F Labelling Tritium labelled tracer synthesis Development and pre-clinical evaluation of modified fatty acids as metabolically trapped FAO PET Tracer Synthesis and in vitro evaluation of tritium labelled tracer Fluorine labelling precursor synthesis 18F radiolabelling Pre clinical imaging Aim Positron emitter Metabolic trapping group expected trapped radioactive metabolite Acyl-CoA- Dehydrogenase Enoyl-CoA- Hydratase Hydroxyacyl-CoA- Dehydrogenase Thiolase Pharmacology and Therapeutics 182 (2018) 95–114 References 1Stanley, W. C, Physiol. Rev. 2005, 85 (3), 1093–1129. 2Dávila-Román, J. Am. Coll. Cardiol. 2002, 40 (2), 271–277. 3Pochapsky, Bioconjugate Chem., Vol. 1, No. 4, 1990; Mather, K. J.; DeGrado, T. R. Biochim. Biophys. Acta BBA - Mol. Cell Biol. Lipids 2016, 1861 (10), 1535–1543. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska–Curie grant agreement No 675417 Summary A New Fatty Acid Oxidation PET candidate has been designed Developed a multistep synthetic route to prepare the labelling precursors Tritium Labelled tracer has been synthesised In vitro evaluation is in progress Future work β-oxidation inhibition in vitro test Tritiated tracer metabolic profiling in cardiomyocytes [18F] tracer radiosynthesis optimization In vivo preclinical imaging in rodent models of cardiac dysfunctions
SISTEMA PARA AVALIAÇÃO DA FUNÇÃO AUTONÔMICA UTILIZANDO A VARIABILIDADE DA FREQUÊNCIA CARDÍACA Thiago G. Terra, Marcus V. B. Franco, Lucas B. Lopes, Mariana Ucker, Jefferson L. B. Marques Instituto de Engenharia Biomédica, Universidade Federal de Santa Catarina, Florianópolis, Brasil 1. INTRODUÇÃO A variabilidade da frequência cardíaca (VFC) é uma técnica considerada importante para avaliação do sistema nervoso autônomo (SNA) pois descreve as oscilações dos intervalos entre batimentos cardíacos consecutivos [1, 2]. Portanto, o presente estudo tem como objetivo desenvolver um sistema baseado em técnicas de processamento de sinais para gerenciamento de pacientes e aquisição do sinal de eletrocardiograma (ECG) no intuito de utilizar tal indicador para o estudo da relação deste com a atividade do SNA. 2. MATERIAS E MÉTODOS O sistema desenvolvido é composto por um concentrador (software) e o módulo de aquisição que, atuando em conjunto, são capazes de coletar dados via serial e armazenar e analisar os dados coletados. O software desenvolvido é composto por uma interface que possibilita ao usuário realizar o cadastro e gerenciamento de pacientes, coleta dos dados dos módulos de aquisição, armazenamento e análise dos dados coletados (Figura 1). Figura 1. Diagrama de funcionamento do sistema desenvolvido. Figura 3. Software desenvolvido: análises no (a) domínio do tempo, (b) frequência e (c) não-linear. 4. DISCUSSÃO E CONCLUSÃO O sistema proposto pode ser aplicado para auxiliar na detecção precoce da neuropatia autonômica diabética e como ferramenta para realizar o screening da população uma vez que o sistema permite o cadastro e gerenciamento de pessoas e dados coletados e a análise da VFC [1]. 3. RESULTADOS Figura 2. Software desenvolvido: (a) acesso, (b) gerenciamento de pacientes, (c) aquisição de sinais e (d) resultados do exame. REFERÊNCIAS [1] A. da Silva, M. Barbosa, F. Vanderlei, D. Christofaro, L. Vanderlei, “Application of heart rate variability in diagnosis and prognosis of individuals with diabetes mellitus: systematic review,” Ann. Noninvasive Electrocardiol, vol. 21, n. 3, pp. 223–235, 2016. [2] L. Vanderlei, C. Pastre, R. Hoshi, T. Carvalho, M. Godoy, “Noções básicas de variabilidade da frequência cardíaca e sua aplicabilidade clínica,” Rev. Bras. Cir. Cardiovasc., v. 24, n. 2, pp. 205–217, jun. 2009.
Open proﬁling of chemical knowledge What is Wikidata? • the edit button of the semantic web • collaboratively curated Linked Open Data • one of the largest public knowledge graphs (over 11 billion triples about over 90 million entries) • growing quickly, yet far from complete • supported by contributions from 20k users a month • available under CC0, i.e. in the public domain • multilingual and cross-disciplinary • FAIR: Findable, Accessible, Interoperable, Reusable • part of the Wikimedia ecosystem • integrated with thousands of other databases • used by major search engines & many other tools How is chemistry covered? There are over a million entries for which Wikidata knows an InChiKey. This is one of the 8k proper- ties available for describing Wikidata entities. About 100 of these are mainly for chemistry, and there is a demo of a Wikidata-powered periodic table. Data modeling and curation for chemistry-related content is overseen by WikiProject Chemistry. How does Scholia work? Scholia is a Flask-based webservice that renders the results of templated SPARQL queries to the Wiki- data Query Service, which provides dynamic access to Wikidata content. The concept to be proﬁled – given via its Wikidata ID or some other identiﬁer – is a parameter to the query, and the kind of proﬁle can be user-deﬁned. The Scholia source code is available on GitHub, under the GPL3 license. Daniel Mietchen (@EvoMRI) ORCID: 0000-0001-9488-1870 School of Data Science, University of Virginia Try Scholia for exploring chemistry-related Linked Open Data that is collaboratively curated through Wikidata: https://scholia.toolforge.org This poster is a contribution to the Beilstein Open Science Symposium 2020 and available under CC BY-SA 4.0 via https://doi.org/10.5281/zenodo.4095649. Scholia is supported by •the WikiCite community & WikiProject Scholia •the Alfred P. Sloan Foundation under grant number G-2019-11458. Chemical compound Prize Journal Chemical class Researcher Biological pathway Protein Research topic Powered by Credits: BetterPoster LATEXTemplate by Rafael Bailo under GPL3, based on Mike Morrison’s BetterPoster.
教員養成系⼤学⽣を対象とした STEM教育に関する授業実践の試み Practical Study on STEM Education for School Teacher Training Course Students 丸山雅貴（早稲田大学）・長濱澄（東京工業大学）・北澤武（東京学芸大学） 瀬戸崎典夫（長崎大学）・森田裕介（早稲田大学） 教員として， STEM教育を どう指導するか？ 科目 東京都内の教員養成系大学 「ITを活用した授業づくり」 期間 2019年6月～7月 対象 学部生11名（2年以上） 問題の所在 研究の方法 結果 3.11 1.33 2.00 1.78 4.11 2.22 2.44 2.56 1 2 3 4 5 事前調査 事後調査 ** * * ** 事前・事後調査 **：p < .01, *：p < .05 項目 STEM関連のコースを 履修するのは楽しい STEMに関連した 授業の指導案を作成できる STEM関連を児童・生徒に 教える教員になる自信がある STEMの担当教員として 一人前にやっていける自信がない （逆転項目） 9. 12. 14. 15. 学習指導要領改訂 「探究的な学び」の重視 教科・科目の独立性 教科横断型の難しさ 謝辞 本研究の⼀部は，JSPS科研費JP17H02003の助成を受けたものである． 授業の概要 課題レポート ワークシート 各自で設計図を作成 ダンボールカーの製作 振り返り 事前調査 イメージの記述 事後調査 イメージの記述 毎回繰り返す )-#              $0                           *!/' 1*!(    "., &%                   !+    &%           9GL? AO -3 0 KM     @K#:J" CB  $6  'CB P5$6  ++E)N (    @K#:J" CB ! $6  'CB !P5$6  + +E)N (   STEM教育の実践に関する動画を 視聴させ，4問の問いに取り組ませた後， STEM教育に対する イメージを図示・記述 課題レポート 考察 STEM教育に関する調査 Value-Expectancy STEM Assessment Scale （Appianing・Van Eck，2018） 教員養成系⼤学⽣向けに改良 22項⽬▶15項⽬ 「ロイロノート・スクール」 を用い，探究のプロセスを記録 「STEM教育」の観点から， 後半ミッションにおける 学習活動を振り返ってください （800字程度） LMSを⽤いて提出 平均値 グループで競争意識を 楽しませることが 探究のプロセスの体験に 有用となる可能性 21世紀型教育などと 結びつけての検討により， 学校教員になった際に 活用する志向 ❶ ❷ N = 9 特徴的な 単語の抽出 学生の記述例（抜粋） グループ 個人ではなくグループで行うことで， 一人では思いつかなかった 新しい可能性に気づいた ロイロノート 「ロイロノート」を活用しながら 試行錯誤を繰り返しながら 改善していった 教壇 自分が教壇に立つ際には， 今回学習した内容を活かした 授業をしていけたらと思う 競争 競争する要素も含んでいることで， 生徒達の学習意欲も高まることが 予想される
Non-binary turbo codes (NB-TC): new design and low-complexity decoding KLAIMI Rami ABDEL NOUR Charbel DOUILLARD Catherine FARAH Joumana NB-CC structure Conclusion New design of NB-TCs is proposed with excellent high and low SNR performance Reasonable complexity-increase thanks to the proposed simplified decoder Better performance than existing binary and non-binary codes Introduction Turbo codes over GF(q), q>2 Design steps: • Define NB-CCs • Study the interleaving and puncturing techniques • Design a low-complexiy decoder RSC over GF(q) RSC over GF(q) RSC over GF(q) RSC over GF(q) π Motivations: • Capacity gains of CM vs BICM • Resistance to burst errors • Lower correlation in decoding • Good perf/complexity tradeoff 2 3 4 5 6 7 8 9 10 1 0 Eb/N0(dB) 100 10-1 10-2 10-3 10-4 10-5 10-6 10-7 BER Binary code 64-QAM GF(64) 64-QAM Binary code BPSK GF(64) BPSK Binary 64-states convolutional code Non-binary CCs over GF(64) Performance comparison with binary CCs of similar complexity Interleaving and puncturing Maximize spread and correlation girth values Maximize the number of non-punctured systematic and parity symbols within a cycle Puncture less reliable bits in constellation symbols Low-complexity decoder Simplified algorithm based on a modified bubble sorter Avoids computing unreliable trellis states NB-TCs perform beyond BICM capacity Performance comparisons NB-TC vs NB-LDPC code [1] and 5G polar code for short and moderate frame sizes NB-TC vs binary and non-binary [2] LDPC codes mapped to 64-QAM constellations 2 1.5 1 0.5 0 -0.5 -1 -1.5 Es/N0(dB) 100 10-1 10-2 10-3 10-4 10-5 BLER NB-TC over GF(64) 5G-Polar code-CA_SCL (L=32) NB-LDPC over GF(64) 5G-Polar code-CA_SCL (L=8) Kb=60 bits; Nb=180 bits QPSK constellation 6.5 6.75 7 7.25 7.5 7.75 8 8.25 8.5 8.75 Es/N0(dB) 100 10-1 10-2 10-3 10-4 10-5 10-6 10-7 BLER NB-TC over GF(64) 5G-Polar code-CA_SCL (L=32) 5G-Polar code-CA_SCL (L=8) NB-TC over GF(64) Kb=972 bits; Nb=1080 bits QPSK constellation 13 13.2 13.4 13.6 13.8 14 14.2 14.4 Es/N0(dB) 100 10-1 10-2 10-3 10-4 BLER NB-LDPC over GF(64) NB-TC over GF(64) Kb=1536 bits, R=2/3 64-QAM constellation 6 6.25 6.5 6.75 7 7.25 7.5 7.75 8 8.25 8.5 Es/N0(dB) 100 10-1 10-2 10-3 10-4 10-5 10-6 10-7 10-8 BLER NB-TC over GF(64) LDPC DVB-T2 NB-TC over GF(64) Ks=900, 64-QAM Symbols Kb=5400 bits,R=1/3 Effect of the decoder simplification 5.75 6 6.25 6.5 6.75 7 7.25 7.5 Es/N0(dB) 10-3 10-2 10-1 100 10-4 BLER Min-Log Conf1-R10-nm16 Conf2-R4-nm8 Conf3-R2-nm4 Conf3-R2-nm4-6It Binary16States Binary64States NB-TC over GF(64) Ks=900, 64-QAM Symbols Kb=5400 bits,R=1/3 10 -3 10 -2 10 -1 10 0 10 -4 BLER 20 40 60 80 100 120 140 160 180 ACS*10 6/Frame Min-Log Conf1-R10-nm16 Conf2-R4-nm8 Conf3-R2-nm4 Conf3-R2-nm4-6It Binary16States Binary64States Authors Contact: rami.klaimi@imt-atlantique.fr 25% gain in minimum distance  [1] http://www-labsticc.univ-ubs.fr/nb_ldpc/ [2] Gutierrez, I., Bacci, G., Bas, J., Bourdoux, A., Gierszal, H., Mourad, A., & Pleftschinger, S. “Davinci non- binary LDPC codes: Performance and complexity assessment.” IEEE Future Network & Mobile Summit. Florence, Italy, June, 2010, pp. 1-8. Grant agreement No. 760150