Szczegółowy Brief jest w załączniku. Temat: Witamina D Przygotowujemy opracowanie zawierające opisy suplementów diety. Poszukujemy osoby, która na bazie analizy publikacji naukowych napisze dla nas artykuł na temat Witaminy D. Zadanie: Opisanie tematu na podstawie przeglądu publikacji naukowych, którego wynikiem będzie zaawansowany tekst popularno-naukowy (dopuszcza się wykorzystanie słownictwa naukowego, które zostanie wytłumaczone w przypisach). Długość: Około 2000 słów tekstu nie wliczając referencji Referencje i bibliografia: Minimum 40 referencji i odniesień do artykułów naukowych (angielskich i polskich). Tutaj należy głównie skupiać się na badaniach na ludziach. Badania in vivo na zwierzętach lub invitro tylko w przypadku braku odpowiednich publikacji na ludziach.
hi, the project brief is to 3d digital model my cat. 3d model geometry to include ability to create contour moire lines for black & white moire animation & images. refer to moire examples. create 1x 10 second black & white moire cat walking animation. create 3x black & white moire cat images. refer to attached brief presentation. [url removed, login to view]
i have an existing [url removed, login to view] WebForms page that displays data from an SQL Datasource using a FormView, and I need an AMP version of the page made. Please only apply if you have done this before, and if you have, send an example.
I'm setting up a new consulting business aimed at the beauty industry. The business is called Online Brand Launch (OBL) and will be marketed to businesses in the cosmetic and dietary supplements industries, possibly later on also to beauty device manufacturers and fashion designers. The greatest selling point of the offer is that it's hands-off, we execute everything for the customers. Another important characteristic is that we implement a lot of smart technology to automate the online sales process. Finally, it's a high-end premium consulting offer that we present to C-suite executives so it needs to look professional and polished. You need to think how to incorporate these messages into the logo.
I am having some software written in QT to replace an old system written in VB6. I also have a dll (C#) which acts as a drawing viewer that needs to be integrated into the new software. I need someone to amend the existing dll (C#) to make it usable in Qt 5.7 C++. We need it to export the types as a COM object dll. What I mean is described here in this example [url removed, login to view] Thus, the dll must be readable for this utility [url removed, login to view] to create header file.
I need help to finish my translation. I have 10.000 words which need to be translated from English into German by tomorrow. Indicate your rate per word in your bid proposal. Only native speakers. Bids from other freelancers of companies will be hidden.
This is nuel, I need a 700 words article/blog post that is search engine optimized. I will need up to 7-10 articles to promote a webhosting company on my blog.
I want to finish my program. I need to reproduce the work of semeval 2014 Task 9 subtask B. Add this 3 steps to my Ipython code (CODE WILL BE PROVIDE): 1/ Handle negation : Sentiment analyses note : create separate tweet-specific sentiment lexicons for terms in affirmative contexts and in negated contexts : • automatically determine the average sentiment of a term when occurring in an affirmative context, • and separately the average sentiment of a term when occurring in a negated context. 2/ Lexicon features : I added lexicon but need to get polarity and connect it with our classifier.. These features are generated by using three manually constructed sentiment lexicons and two automatically constructed lexicons. The manually constructed lexicons : o the NRC Emotion Lexicon o the MPQA Lexicon o the Bing Liu Lexicon The two automatically constructed lexicons : o the Hashtag Sentiment Lexicon o the Sentiment140 Lexicon 3/ Text span With lexicons available, the following features were extracted for a text span. Here a text span can be a target term, its context, or an entire tweet, depending on the task. The lexicon features include: (1) the number of sentiment tokens in a text span; sentiment tokens are word tokens whose sentiment scores are not zero in a lexicon; (2) the total sentiment score of the text span: SenScore (w); (3) the maximal score : maxSenScore(w); (4) the total positive and negative sentiment scores of the text span; (5) the sentiment score of the last token in the text span. Note that all these features are generated, when applicable, by using each of the sentiment lexicons mentioned above. Goal : improve accuracy of this model
I am looking for 12 news articles to be written in English. The subject would be specific to cryptocurrencies like Bitcoin or Ethereum or NEO. Each news article will be no less than 600 words in length and individually unique. I will provide the subject for each article. There is a requirement for at least 2 articles/week after this project for ongoing work. Please bid for all 12 articles. Ongoing work to be negotiated seperately.