APIRecX: Cross-Library API Recommendation via Pre-Trained Language Model

For programmers, learning the usage of APIs (Application Programming Interfaces) of a software library is important yet difficult. API recommendation tools can help developers use APIs by recommending which APIs to be used next given the APIs that have been written. Traditionally, language models such as N-gram are applied to API recommendation. However, because the software libraries keep changing and new libraries keep emerging, new APIs are common. These new APIs can be seen as OOV (out of vocabulary) words and cannot be handled well by existing API recommendation approaches due to the lack of training data. In this paper, we propose APIRecX, the first cross-library API recommendation approach, which uses BPE to split each API call in each API sequence and pre-trains a GPT based language model. It then recommends APIs by fine-tuning the pre-trained model. APIRecX can migrate the knowledge of existing libraries to a new library, and can recommend APIs that are previously regarded as OOV. We evaluate APIRecX on six libraries and the results confirm its effectiveness by comparing with two typical API recommendation approaches.

vINUS VOICE ASSISTANT FOR IoT PLATFORM THINGER.IO

Internet of Things plays a key role in our lives today from managing airport passenger traffic, smart houses and cities to taking care of the elderly, it aims to improve life in all areas, and the technological development we are seeing has contributed to a wide spread in many domains. Platforms are the supporting software that connects everything within the Internet of things system. The platform facilitates communication, data flow, device management, and application functionality. The Thinger.io platform is an easy-to-use platform that provides a variety of services to users. The platform enables communication of various types of devices and chipsets. The idea was to create a personal assistant that works via voice commands to control devices connected to the Thinger.io platform remotely over the Internet in real time, The aim of adding this possibility to the platform is to make it simpler to allow anyone of any age or experience to use it to facilitate their life the way they choose, whereas The Vinus Assistant - as we called it - has the flexibility, reliability and functionality to deal with any application.

Comparative btween traditional and modern methods that using in classification Saccharomyces cerevisiae which isolated from apple juice concentrate

This research was conducted at the Department of Food Science, Faculty of Agriculture and National commission for posterity energy. Twenty kg of apple juice concentrate (70%) were tooked from company of Natural Aljabal Juice from AL-suidaa Governorate and prarerd two concentarate (15% and 35%) by using distilled –sterlization water according to pirson .

Develop a Software Library to Test Big Data Applications in a Simulated Hadoop Environment

Through our study, the HadoopOperationTesting software library has been developed to provide Big Data applications labs with a mechanism to test their applications in a simulated environment for the Hadoop environment with a similar mechanism to test traditional applications using the JUnit library.

Detection of Listeria in red meat

The aim of this research was detection Listeria in chopped prepared to consumption beef. (100) samples were collected randomly from Damascus and its countryside, Kenitra and Sweida stores and slaughterhouses, from February (2015) to February (2016).

تحديد هوية بكتيريا Lactococcus Lactis في جبن الغنم السوري باستخدام تقنيتي الـ FTIR و PCR

أجريت الدراسة في مخابر كلية الزراعة قسم علوم الاغذية ومخابر الميكروبيولوجيا والمناعيات بقسم البيولوجيا الجزيئية والتقانة الحيوية بهيئة الطاقة الذرية.

استخدام الأحماض الدهنية في تصنيف بعض أنواع البكتريا والخمائر المعزولة محلياً من الأغذية

صنفت 1165 عزلة من البكتيريا والخمائر من عينات غذائية مختلفة باستخدام تقانة API ,شملت 342 عزلة من بكتيريا سالبة غرام

Epizootic bacterial of house fly (Musca domestica) in animal farms

Livestock is an important source of national income, but it is always vulnerable to various diseases and epidemics that lead to massive economic losses. These losses amount to hundreds of millions of Syrian pounds

Identification of Salmonella spp. isolated from white cheese (processed from sheep milk) by using API and PCR techniques

The objective of this investigation was the Identification of Salmonella spp. isolated from white cheese (traditional processed from sheep milk) and classify it by using API 20E and PCR techniques. 80 samples of white cheese (traditional processed from sheep milk) were collected from different locations in Syria. According to PCR technique, 17 samples gave positive result for salmonella meaning that 21.25 % did not match the levels of the Syrian Standardization and Metrology (S.S.M.). According to API 20E technique, the dominat type of Salmonella was Salmonella Arizona (47%), followed by Salmonella typhim (23.61 %), Salmonella paratyphi (17.6 %) and Salmonella spp. (11.76 %). Results showed that samples from local cheese positive for Salmonella were much more than samples from Akkawi cheese. The results showed that the PCR technique is fast and accurate and can be used to Identify Salmonella in cheese.

Isolation of Staphylococcus aureus Bacteria From Ice Cream and Its Identification According To The API and PCR Techniques

This study was conducted in the years 2008-2009-2010, it has analyzed for Staph. aureus and isolated from 100 samples of traditional ice cream sold to customers it has had collected from different regions parts of Damascus and his countryside. The study has been found that there was no violation of the Syrian standard for Staph. aureus. And the results were also diagnosed using the techniques of API Staph and PCR equal.