A proposed java forward slicing approach

Many organization, programmers, and researchers need to debug, test and make maintenance for a segment of their source code to improve their system. Program slicing is one of the best techniques to do so. There are many slicing techniques available to solve such problems such as static slicing, dynamic slicing, and amorphous slicing. In our paper, we decided to develop a tool that supports many slicing techniques. Our proposed tool provides new flexible ways to process simple segments of Java code, and it generates needed slicing according to the user needs, our tool will provide the user with direct and indirect dependencies for each variable in the code segments. This tool can work under various operating systems and does not need particular environments. Thus, our tool is helpful in many aspects such as debugging, testing, education, and many other elements

Leveraging Data Collection and Unsupervised Learning for Code-switched Tunisian Arabic Automatic Speech Recognition

Crafting an effective Automatic Speech Recognition (ASR) solution for dialects demands innovative approaches that not only address the data scarcity issue but also navigate the intricacies of linguistic diversity. In this paper, we address the aforementioned ASR challenge, focusing on the Tunisian dialect. First, textual and audio data is collected and in some cases annotated. Second, we explore self-supervision, semi-supervision and few-shot code-switching approaches to push the state-of-the-art on different Tunisian test sets; covering different acoustic, linguistic and prosodic conditions. Finally, and given the absence of conventional spelling, we produce a human evaluation of our transcripts to avoid the noise coming from spelling inadequacies in our testing references. Our models, allowing to transcribe audio samples in a linguistic mix involving Tunisian Arabic, English and French, and all the data used during training and testing are released for public use and further improvements.Comment: 6 pages, submitted to ICASSP 202

Performance Improvement Techniques for Photovoltaic Systems in Qatar: Results of First year of Outdoor Exposure

AbstractThe state of Qatar has established firm renewable energy deployment targets for the next decade, using primarily solar photovoltaic technologies.Qatar, in the Arabian Peninsula, is in the MENA Region, where the solar resource is fairly abundant, but local environmental conditions are challenging, particularly, high ambient temperatures all-year round, a dusty atmosphere due to high aerosol content, and water scarcity, which impact negatively on PV system performance and reliability.The Solar Test Facility (STF) at the Qatar Science & Technology Park (QSTP) was founded in 2012 for the main purpose of contributing to the achievement of Qatar's sustainable energy technology deployment targets. STF provides scientific and technical capabilities for testing and evaluation of solar technologies under the specific local climate conditions.This paper presents the results of outdoor exposure of a specific model of multicrystalline silicon (mc-Si) photovoltaic (PV) modules after their first complete year of operation at STF. The impact of module cleaning frequency, use of commercial anti- soiling coatings and module mounting on either fixed, one-axis-tracking or two-axis-tracking systems was studied.These results give some indication of the next steps to be taken and the solutions that would eventually work for the improvement of both the energy yield and the durability of PV systems deployed in this region

Regression test selection model: a comparison between ReTSE and pythia

As software systems change and evolve over time regression tests have to be run to validate these changes. Regression testing is an expensive but essential activity in software maintenance. The purpose of this paper is to compare a new regression test selection model called ReTSE with Pythia. The ReTSE model uses decomposition slicing in order to identify the relevant regression tests. Decomposition slicing provides a technique that is capable of identifying the unchanged parts of a system. Pythia is a regression test selection technique based on textual differencing. Both techniques are compare using a Power program taken from Vokolos and Frankl’s paper. The analysis of this comparison has shown promising results in reducing the number of tests to be run after changes are introduced

A Review of Ball Lightning Models

Ball lightning is a natural phenomenon that occurs in the atmosphere. However due to its brevity and rarity, its occurrence is not well understood. Three models based on electromagnetic properties are discussed in this paper to explain the rare phenomenon of ball lightning. The first model incorporates the idea of electron bunching, electrons moving with different velocities. This creates a plasma bubble by recombining electrons with ionized gas to form plasma that is stabilized by a standing microwave. The second model explains the idea of streamers being tangled and linked in a magnetic field while stabilized by the conservation of helicity. The third model is a lab created skyrmion that when evaluated exhibits qualities similar to ball lightning

Social capital contributions to food security: A comprehensive literature review

Social capital creates a synergy that benefits all members of a community. This review examines how social capital contributes to the food security of communities. A systematic literature review, based on Prisma, is designed to provide a state of the art review on capacity social capital in this realm. The output of this method led to finding 39 related articles. Studying these articles illustrates that social capital improves food security through two mechanisms of knowledge sharing and product sharing (i.e., sharing food products). It reveals that social capital through improving the food security pillars (i.e., food availability, food accessibility, food utilization, and food system stability) affects food security. In other words, the interaction among the community members results in sharing food products and information among community members, which facilitates food availability and access to food. There are many shreds of evidence in the literature that sharing food and food products among the community member decreases household food security and provides healthy nutrition to vulnerable families, and improves the food utilization pillar of food security. It is also disclosed that belonging to the social networks increases the community members’ resilience and decreases the community’s vulnerability that subsequently strengthens the stability of a food system. This study contributes to the common literature on food security and social capital by providing a conceptual model based on the literature. In addition to researchers, policymakers can use this study’s findings to provide solutions to address food insecurity problems