14,630 research outputs found

    astromatt42/digb_sfgs: Release for 10.21203/rs.3.rs-106679/v1

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    This release was used to compute the results in https://doi.org/10.21203/rs.3.rs-106679/v1 For any queries please contact the corresponding author

    #nowplaying-rs

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    <p>The nowplaying-rs dataset features context- and content features of listening events. It contains 11.6 million music listening events of 139K users and 346K tracks collected from Twitter. The dataset comes with a rich set of item content features and user context features, as well as timestamps of the listening events. Moreover, some of the user context features imply the cultural origin of the users, and some others - like hashtags - give clues to the emotional state of a user underlying a listening event.</p> <p>The dataset contains three files:</p> <ul> <li>user_track_hashtag_timestamp.csv contains basic information about each listening event. For each listening event, we provide an id, the user_id, track_id, hashtag, created_at </li> <li>context_content_features.csv: contains all context and content features. For each listening event, we provide the id of the event, user_id, track_id, artist_id, content features regarding the track mentioned in the event (instrumentalness, liveness, speechiness, danceability, valence, loudness, tempo, acousticness, energy, mode, key) and context features regarding the listening event (coordinates (as geoJSON), place (as geoJSON), geo (as geoJSON), tweet_language, created_at, user_lang, time_zone, entities contained in the tweet).</li> <li>sentiment_values.csv contains sentiment information for hashtags. It contains the hashtag itself and the sentiment values gathered via four different sentiment dictionaries: AFINN, Opinion Lexicon, Sentistrength Lexicon and vader. For each of these dictionaries we list the minimum, maximum, sum and average of all sentiments of the tokens of the hashtag (if available, else we list empty values). However, as most hashtags only consist of a single token, these values are equal in most cases. Please note that the lexica are rather diverse and therefore, are able to resolve very different terms against a score. Hence, the resulting csv is rather sparse. The file contains the following comma-separated values: <hashtag, vader_min, vader_max, vader_sum,vader_avg,  afinn_min, afinn_max, afinn_sum, afinn_avg, ol_min, ol_max, ol_sum, ol_avg, ss_min, ss_max, ss_sum, ss_avg >, where we abbreviate all scores gathered over the Opinion Lexicon with the prefix 'ol'. Similarly, 'ss' stands for SentiStrength. </li> </ul> <p>Please note that user_track_hashtag_timestamp.csv and context_content_features.csv partly provide the same features. We deliberately chose to do so to be able to provide useable files that do not have to be matched and joined with each other to perform e.g., simple recommendation tasks.</p> <p>Please also find the training and test-splits for the dataset in this repo. Also, Asmita provides prototypical implementations of a context-aware recommender system based on the dataset at https://github.com/asmitapoddar/nowplaying-RS-Music-Reco-FM.</p> <p><br> If you make use of this dataset, please cite the following paper where we describe and experiment with the dataset:</p> <p>@inproceedings{smc18,<br> title = {#nowplaying-RS: A New Benchmark Dataset for Building Context-Aware Music Recommender Systems},<br> author = {Asmita Poddar and Eva Zangerle and Yi-Hsuan Yang},<br> url = {http://mac.citi.sinica.edu.tw/~yang/pub/poddar18smc.pdf},<br> year = {2018},<br> date = {2018-07-04},<br> booktitle = {Proceedings of the 15th Sound & Music Computing Conference},<br> address = {Limassol, Cyprus},<br> note = {code at https://github.com/asmitapoddar/nowplaying-RS-Music-Reco-FM},<br> tppubtype = {inproceedings}<br> }</p&gt

    Characterization of Non-Specific Uptake and Retention Mechanisms of [177Lu]Lu-PSMA-617 in the Salivary Glands

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    The radionuclide therapy [177Lu]Lu-PSMA-617 was recently FDA-approved for treatment of metastatic castration-resistant prostate cancer. Salivary gland toxicity is currently considered as the main dose-limiting side effect. However, its uptake and retention mechanisms in the salivary glands remain elusive. Therefore, our aim was to elucidate the uptake patterns of [177Lu]Lu-PSMA-617 in salivary gland tissue and cells by conducting cellular binding and autoradiography experiments. Briefly, A-253 and PC3-PIP cells, and mouse kidney and pig salivary gland tissue, were incubated with 5 nM [177Lu]Lu-PSMA-617 to characterize its binding. Additionally, [177Lu]Lu-PSMA-617 was co-incubated with monosodium glutamate, ionotropic or metabotropic glutamate receptor antagonists. Low, non-specific binding was observed in salivary gland cells and tissues. Monosodium glutamate was able to decrease [177Lu]Lu-PSMA-617 in PC3-PIP cells, mouse kidney and pig salivary gland tissue. Kynurenic acid (ionotropic antagonist) decreased the binding of [177Lu]Lu-PSMA-617 to 29.2 ± 20.6% and 63.4 ± 15.4%, respectively, with similar effects observed on tissues. (RS)-MCPG (metabotropic antagonist) was able to decrease the [177Lu]Lu-PSMA-617 binding on A-253 cells to 68.2 ± 16.8% and pig salivary gland tissue to 53.1 ± 36.8%. To conclude, we showed that the non-specific binding on [177Lu]Lu-PSMA-617 could be reduced by monosodium glutamate, kynurenic acid and (RS)-MCPG

    Comprehensive Physical Model of Dynamic Resistive Switching in an Oxide Memristor

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    Memristors have been proposed for a number of applications from nonvolatile memory to neuromorphic systems. Unlike conventional devices based solely on electron transport, memristors operate on the principle of resistive switching (RS) based on redistribution of ions. To date, a number of experimental and modeling studies have been reported to probe the RS mechanism; however, a complete physical picture that can quantitatively describe the dynamic RS behavior is still missing. Here, we present a quantitative and accurate dynamic switching model that not only fully accounts for the rich RS behaviors in memristors in a unified framework but also provides critical insight for continued device design, optimization, and applications. The proposed model reveals the roles of electric field, temperature, oxygen vacancy concentration gradient, and different material and device parameters on RS and allows accurate predictions of diverse set/reset, analog switching, and complementary RS behaviors using only material-dependent device parameters.

    Adaptabilidade e estabilidade de cultivares de soja no munic?pio de Cerro Largo - RS

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    Soybean (Glycine max L.) is the main crop in the Brazilian agricultural scenario, presenting variations in productivity by soil, climate, relief, latitude, photoperiod in the State of Rio Grande do Sul. Adaptability and stability aim to identify the best genotypes and relationship of Genotype x Environment behavior, based on this, the main objective of this study was to evaluate the adaptability and stability of different soybean cultivars implemented on different sowing dates in the municipality of Cerro Largo, RS. The cultivar test was conducted on three sowing dates, the first on November 6th, the second on November 23rd and the third on December 9th, with 10 soybean cultivars, using the factorial scheme (10 x 3) with 3 repetitions, evaluating the productive potential. The identification of genotypes with good adaptability and stability in relation to sowing dates was obtained by applying the Eberhart and Russell (1966) methodology. The analysis was carried out with the help of the Genes Program, where the interaction between the genotypes and the environment was sought for the analyzed variable. When evaluating the data obtained from each cultivar on each date, it was noted that the sowing dates 11/06/2022 and 11/23/2022 had great influences of water stress, with average productivity of 2136 kg ha-1 and 2119 kg ha-1, respectively, due to the La Ni?a phenomenon in the 2022/2023 harvest. The third sowing date of 11/09/2022 showed higher productivity with 2557 kg ha-1. As for the genotypes, TMG 7362 and BMX Trov?o stood out, showing that they have greater stability and adaptability.A soja (Glycine max L.) ? a principal cultura no cen?rio agr?cola brasileiro, apresentando varia??es de produtividade por solo, clima, relevo, latitude, fotoper?odo no Estado do Rio Grande do Sul. A adaptabilidade e estabilidade tem por objetivo identificar os melhores gen?tipos e rela??o do comportamento Gen?tipo x Ambiente, com base nisso, o presente trabalho tem por principal objetivo do presente estudo foi avaliar a adaptabilidade e estabilidade de diferentes cultivares de soja implantados em diferentes datas de semeadura no munic?pio de Cerro Largo, RS. O ensaio de cultivares foi conduzido em tr?s datas de semeadura, o primeiro dia 06 de novembro, segundo dia 23 de novembro e o terceiro dia 09 de dezembro, com 10 cultivares de soja, sendo utilizado o esquema fatorial (10 x 3) com 3 repeti??es, avaliando o potencial produtivo. A identifica??o dos gen?tipos com boa adaptabilidade e estabilidade em rela??o das datas de semeadura, foi obtida com a aplica??o da metodologia Eberhart e Russell (1966). A an?lise foi realizada com aux?lio do Programa Genes, onde se buscou a intera??o entre os gen?tipos e o ambiente para a vari?vel analisada. Ao avaliar os dados obtidos de cada cultivar em cada data, notou-se que as datas de semeadura 06/11/2022 e 23/11/2022 obtiveram grandes influ?ncias de estresse h?drico, com produtividade m?dia de 2136 kg ha-1 e 2119 kg ha-1, respectivamente, em decorr?ncia do fen?meno La Ni?a na safra 2022/2023. A terceira data de semeadura do dia 09/11/2022 apresentou maior produtividade com 2557 kg ha-1. Quanto aos gen?tipos se destacaram foram TMG 7362 E BMX Trov?o, mostrando que possuem maior estabilidade e adaptabilidade

    German Multicenter Study Investigating 177 Lu-PSMA-617 Radioligand Therapy in Advanced Prostate Cancer Patients

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    Lu-177-labeled PSMA-617 is a promising new therapeutic agent for radioligand therapy (RLT) of patients with metastatic castration resistant prostate cancer (mCRPC). Initiated by the German Society of Nuclear Medicine, a retrospective multicenter data analysis was started in 2015 to evaluate efficacy and safety of Lu-177-PSMA-617 in a large cohort of patients. Methods: One hundred forty-five patients (median age, 73 y; range, 43-88 y) with mCRPC were treated with Lu-177-PSMA-617 in 12 therapy centers between February 2014 and July 2015 with 1-4 therapy cycles and an activity range of 2-8 GBq per cycle. Toxicity was categorized by the common toxicity criteria for adverse events (version 4.0) on the basis of serial blood tests and the attending physician's report. The primary endpoint for efficacy was biochemical response as defined by a prostate-specific antigen decline 50% from baseline to at least 2 wk after the start of RLT. Results: A total of 248 therapy cycles were performed in 145 patients. Data for biochemical response in 99 patients as well as data for physician-reported and laboratory-based toxicity in 145 and 121 patients, respectively, were available. The median follow-up was 16 wk (range, 2-30 wk). Nineteen patients died during the observation period. Grade 3-4 hematotoxicity occurred in 18 patients: 10%, 4%, and 3% of the patients experienced anemia, thrombocytopenia, and leukopenia, respectively. Xerostomia occurred in 8%. The overall biochemical response rate was 45% after all therapy cycles, whereas 40% of patients already responded after a single cycle. Elevated alkaline phosphatase and the presence of visceral metastases were negative predictors and the total number of therapy cycles positive predictors of biochemical response. Conclusion: The present retrospective multicenter study of Lu-177-PSMA-617 RLT demonstrates favorable safety and high efficacy exceeding those of other third-line systemic therapies in mCRPC patients. Future phase II/III studies are warranted to elucidate the survival benefit of this new therapy in patients with mCRPC

    Converter USB/RS 485

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    This thesis is describing problematic of realisation of converter from USB type media into the universal RS-485 bus which is mainly used for the industrial applications (author is using frequently as a device in order to enable communication between server and RFID devices). This thesis contains theoretical information, realisation of the device itself and assesment of reached targets
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