Identity Today and the Critical Task of Semioethics

The critical task of semioethics implies recognition of the common condition of dialogical interrelation and the capacity for listening, where dialogue does not imply a relation we choose to concede thanks to a sense of generosity towards the other, but on the contrary is no less than structural to life itself, a necessary condition for life to flourish, an inevitable imposition. With specific reference to anthroposemiosis, semioethics focuses on the concrete singularity of the human individual and the inevitability of intercorporeal interconnection with others. The singularity, uniqueness of each one of us implies otherness and dialogism. Semioethics assumes that whatever the object of study and however specialized the analysis, human individuals in their concrete singularity cannot ignore the inevitable condition of involvement in the destiny of others, that is, involvement without alibis. From this point of view, the symptoms studied from a semioethical perspective are not only specified in their singularity, on the basis of a unique relationship with the other, the world, self, but are above all social symptoms. Any idea, wish, sentiment, value, interest, need, evil or good examined by semioethics as a symptom is expressed in the word, the unique word, the embodied word, in the voice which arises in the dialectic and dialogical interrelation between singularity and sociality.

Robust Burst Detection Algorithm for Distributed Unique Word TDMA Signal

In recent years, distributed unique word (DUW) has been widely used in satellite single carrier TDMA signals, such as very small aperture terminal (VSAT) satellite systems. Different from the centralized structure of traditional unique word, DUW is uniformly dispersed in a burst signal, where the traditional unique word detection methods are not applicable anymore. For this, we propose a robust burst detection algorithm based on DUW. Firstly, we allocated the sliding detection windows with the same structures as DUW in order to effectively detect it. Secondly, we adopt the method of time delay conjugate multiplication to eliminate the influence of frequency offset on detection performance. Due to the uniform dispersion of DUW, it naturally has two different kinds of time delays, namely the delay within the group and the delay between the two groups. So, we divide the traditional dual correlation formula into two parts to calculate them separately and obtain a dual correlation detection algorithm, which is suitable for DUW. Simulation and experimental results demonstrate that when the distribution structure of DUW changes, detection probability of the proposed algorithm fluctuates little, and its variance is 1.56×10−5, which is 99.83% lower than the existing DUW detection algorithms. In addition, its signal to noise ratio (SNR) threshold is about 1 dB lower than the existing algorithms under the same circumstance of the missed detection probability.

Pengembangan Ekonomi Kreatif Berbasis Bahasa dan Sastra Indonesia Melalui Produk Sablon Berdesain Olah Kata Bermuatan Kearifan Lokal Jember

Screen printing business is one of the businesses that can apply the creative economy based on Indonesian language and literature. Screen printing products with unique word processing designs have the potential to attract consumer interest and can be used as a means to socialize the values ​​of language and literature in them. Especially by adding designs containing local wisdom to the screen printing products. The purpose of this service activity is to help one of the screen printing SMEs (Partners) overcome obstacles in their business. The implementation method used is the lecture method with a participatory learning approach. This activity begins with providing an understanding to Partners about the creative industry based on Indonesian Language and Literature. Followed by discussions with partners to develop a screen printing product with a word processing design that emphasizes Jember local wisdom along with an effective marketing strategy through online media. In addition, it also introduces PSAK EMKM as a guide for Partners in preparing their business financial reports.

Growth in eligibility criteria content and failure to accrue among National Cancer Institute (NCI)-affiliated clinical trials.

1515 Background: Cancer clinical trial accrual across diverse socioeconomic and demographic groups is a national priority, yet up to 20% of trials fail due to poor accrual. Eligibility criteria content may contribute to poor accrual, but effects are challenging to measure. We sought to evaluate growth of eligibility criteria within NCI-affiliated cancer trials and the impact on trial accrual over the past decade. Methods: We conducted a retrospective study with the Aggregate Analysis of ClinicalTrials.gov (AACT) (abstracted: 02/02/2021). We included NCI-affiliated, interventional Phase II or III trials that initiated between 01/01/2008 and 12/13/2018. We excluded active and recruiting trials that lacked accrual data on the Cancer Trials Support Unit website. Trials whose status was “Withdrawn”, “Terminated”, or “Suspended” due to low accrual, or had less than 50% target accrual after two years active were deemed accrual failures. Eligibility criteria were extracted from inclusion and exclusion criteria and complexity was estimated by the number of unique content words, calculated by removing duplicates and stop words from the word count. Association of unique word count with accrual failure was evaluated by univariable and multivariable logistic regressions, adjusting for other predictors of low accrual identified in earlier research. Results: Of 1197 trials included, 231 (19.3%) failed due to low accrual. Eligibility criteria increased in length from a median of 214 (IQR [23, 282]) unique content words in 2008 to 417 (IQR [289, 514]) in 2018. The rate of trial accrual failure increased with unique word count decile from 11.8% in the first decile (12 to 112 words) to 29.4% in the tenth decile (445 to 750 words) (P = 0.004). On multivariable analysis, unique word count remained independently associated with low accrual (OR: 1.07 per decile, 95%CI [1.01-1.13], P = 0.02), as did Phase III and metastatic disease settings (Table). Conclusions: Eligibility criteria content has increased dramatically in the last decade in NCI-affiliated trials. Increasing eligibility criteria content associates strongly with accrual failure, even after adjusting for multiple known predictors of accrual. These findings underscore the need for efforts to simplify eligibility criteria to improve trial accrual. Further investigation is ongoing to determine specific criteria qualities that portend accrual failure.[Table: see text]

OQPSK Synchronization Parameter Estimation Based on Burst Signal Detection

The fast estimation of synchronization parameters plays an extremely important role in the demodulation of burst signals. In order to solve the problem of high computational complexity in the implementation of traditional algorithms, a synchronization parameter (frequency offset, phase offset, and timing error) estimation algorithm based on Offset Quadrature Phase Shift Keying (OQPSK) burst signal detection is proposed in this article. We first use the Data-Aided (DA) method to detect where the burst signal begins by taking the segment correlation between the receiving signals and the known local Unique Word (UW). In the sequel, the above results are adopted directly to estimate the synchronization parameters, which is obviously different from the conventional algorithms. In this way, the complexity of the proposed algorithm is greatly reduced, and it is more convenient for hardware implementation. The simulation results show that the proposed algorithm has high accuracy and can track the Modified Cramer–Rao Bound (MCRB) closely.

Characterizing English Variation across Social Media Communities with BERT

Much previous work characterizing language variation across Internet social groups has focused on the types of words used by these groups. We extend this type of study by employing BERT to characterize variation in the senses of words as well, analyzing two months of English comments in 474 Reddit communities. The specificity of different sense clusters to a community, combined with the specificity of a community’s unique word types, is used to identify cases where a social group’s language deviates from the norm. We validate our metrics using user-created glossaries and draw on sociolinguistic theories to connect language variation with trends in community behavior. We find that communities with highly distinctive language are medium-sized, and their loyal and highly engaged users interact in dense networks.

A SEMIOTIC ANALYSIS ON ELDORADO POEM BY EDGAR ALLAN POEM

The research is entitled “A Semiotic Analysis on Eldorado poem by Edgar Allan Poe”. This study is aimed to know the meaning of the symbols of Gallant knight, Eldorado, shadow, a pilgrim shadow, shade, over the mountains related to the socio-historical issue. This study is also used in the qualitative method and library research. Starting from the writers’ interest in the poem and think that, the poem has a unique word inside it. In this research, the knight who do the long journey to search for “Eldorado”. This study focuses on semiotic analysis, which uses the semiotic approach. Charles Sanders Pierce is the theory that the writers use to analyze “Eldorado” poem by Edgar Allan Poe. The use of semiotic analysis is to find a symbol of Eldorado poem. This study also used the socio-historical approach that correlates with the Eldorado poem.The symbols of Eldorado poem, a gallant knight, Eldorado, shadow, a pilgrim shadow, shade, and over the mountains represent the meaning, where Eldorado is true of a wealthy city made of gold. However, Eldorado is not a place but a person. The whole journey of Europeans to find a golden city is in vain. Eldorado's poem is related to the symbol of time in 1849 in California, where the attitude of the Muisca tribe is different from the people of Europe who see gold as a symbol of wealth, as well as power. Furthermore, the minds of Europeans who heard the story were only fascinated by how much gold was thrown into the lake or buried in shrines throughout Colombia. Not the meaning of gold itself. That is why Poe revealed a poem entitled Eldorado which means that Eldorado itself was a rich king who had covered his entire body with gold.

A Grouping of Song-Lyric Themes Using K-Means Clustering

One of the automatic way of theme grouping that can be used is K-Means Clustering. In this research, the song theme is taken from the text of song lyrics. The aim of this study is developing a system that can automatically group the song lyric theme and know the accuracy level of the grouping. The process stage is started with the data processing or text processing called as text mining. In text mining, there are some processes. First, the text operation. The text operation consists of tokenizing, stopword, steeming, and word weighting then can be processed using K-Means clustering. In clustering process, it consists of initial centroid initialization uses Variance Initialization, next counts the centroid distance on the data using Euclidean distance until get the proper grouping accurately. The accuracy counting uses confusion matrix. The next step to see the suitability system that has been made, new data is added which then is processed by a system. After that, it can decide the new data is classified into one specific theme. From the research that has been conducted as case study in Masdha Radio Yogyakarta, total data available 400 and divided into four clusters. The clusters consist of love cluster, friendship cluster, religion cluster, and fighting cluster. The result of research song lyric grouping based on the theme works well with 93.25% accuracy for the unique word frequency numbers 121 maximum and unique word 0 minimum.

PENGAYAAN BAHASA INDONESIA MELALUI ISTILAH BARU TERKAIT COVID-19

The present study aims to analyze new word formations in Indonesian related to COVID-19 and identify its function in online newspapers. This research uses a descriptive qualitative approach by adapting generative morphological theories as the framework. The research objects are 32 new word formations found in various texts in online newspapers in Indonesia collected between April 2020 to August 2020. The data were analyzed using the top-down technique distribution method. This method uses a determinant in the language element itself, namely the data selection technique based on specific categories in terms of grammarism in accordance with the natural characteristics of the research data. The study shows that the new word formation in modern Indonesian related to COVID-19 can be obtained by coining roots, compounding, abbreviation, and acronym. Those unique word formations are originated primarily from Indonesian and English. The function of its usage is mainly referential (abbreviation and acronym) and expressive (roots and compounding). We create new words to fulfill the designation needs of new issues that appear in society. Furthermore, the development in society, especially in coping with global health issues, has also contributed to the enrichment of Indonesian vocabulary.