Miracle-dz/UniFAR-FTUs huggingface dataset:
Extracting Concepts Emerging from Software Code, Documentation and Tests

Traceability in software engineering is the ability to connect different artifacts that have been built or designed at various points in time. Given the variety of tasks, tools and formats in the software lifecycle, an outstanding challenge for traceability studies is to deal with the heterogeneity of the artifacts, the links between them and the means to extract each. Using a unified approach for extracting keywords from textual information, this paper aims to compare the concepts extracted from three software artifacts: source code, documentation and tests from the same system. The objectives are to detect similarities in the concepts emerged, and to show the degree of alignment and synchronisation the artifacts possess. Using the components of three projects from the Apache Software Foundation, this paper extracts the concepts from ‘base’ source code, documentation, and tests (separated from the source code). The extraction is done based on the keywords present in each artifact: we then run multiple comparisons (through calculating cosine similarities on features extracted by word embeddings) in order to detect how the sets of concepts are similar or overlap. For similarities between code and tests, we discovered that using pre-trained language models (with increasing dimension and corpus size) correlates to the increase in magnitude, with higher averages and smaller ranges. FastText pre-trained embeddings scored the highest average of 97.33% with the lowest range of 21.8 across all projects. Also, our approach was able to quickly detect outliers, possibly indicating drifts in traceability within modules. For similarities involving documentation, there was a considerable drop in similarity score compared to between code and tests per module – down to below 5%.
Networked Answer to "Life, The Universe, and Everything"

In the last few years, Input/Output (I/O) bandwidth limitation of legacy computer architectures forced us to reconsider where and how to store and compute data across a large range of applications. This shift has been made possible with the concurrent development of both smartNICs and programmable switches with a common programming language (P4), and the advent of attached High Bandwidth Memory within smartNICs/FPGAs. Recently, proposals to use this kind of technology have emerged to tackle computer science related issues such as fast consensus algorithm in the network, network accelerated key-value stores, machine learning, or data-center data aggregation. In this paper, we introduce a novel architecture that leverages these advancements to potentially accelerate and improve the processing of radio-astronomy Digital Signal Processing (DSP), such as correlators or beamformers, at unprecedented continuous rates in what we have called the "Atomic COTS" design. We give an overview of this new type of architecture to accelerate digital signal processing, leveraging programmable switches and HBM capable FPGAs. We also discuss how to handle radio astronomy data streams to pre-process this stream of data for astronomy science products such as pulsar timing and search. Finally, we illustrate, using a proof of concept, how we can process emulated data from the Square Kilometer Array (SKA) project to time pulsars.
Invenio: Communication Affinity Computation for Low-Latency Microservices

Microservices enable rapid service deployment and scaling. Integrating poorly-understood microservice components into Service Function Chains (SFCs) or graphs limits a provider's control over service delivery latency, however. Orchestration frameworks currently instantiate and place myriads of microservice components without knowing the impact of placement decisions on latency. In this paper, we explore challenges that service providers encounter in managing complex SFCs, and propose Invenio to empower providers to effectively place microservices without prior knowledge of service functionality. Invenio correlates user actions with procedure messages in network traces, and computes procedural affinity of communication among microservices for each user action. The procedural affinity values can then be used to make placement decisions to meet latency constraints of individual user actions. Our experiments with two microservice-based cellular network implementations demonstrate that placement with Invenio-computed affinity values significantly reduces failures by bounding message processing latency, resulting in up to 21% performance gain compared to message count-based placement algorithms, and up to 51% gain over default placement.
Reactive Power Optimization of Mining Area Power Grid Based on Multi-Objective Chaotic Particle Swarm Algorithm

In order to improve the electrical energy quality of mining area power grid and reduce active power loss of power grid line,on the basis of basic model of reactive power optimization,combining the static stability of system voltage,a multi-objective reactive power optimization mathematical model was established.Aiming at the problems that the particle swarm optimization algorithm in evolution is easy to occur premature convergence,the chaotic particle swarm optimization algorithm was introduced.An IEEE 30 node system was taken as an example to verify the multi-objective chaotic particle swarm algorithm's feasibility.The algorithm was applied to the reactive power optimization of mining power grid,and the simulation results verified the algorithm's effectiveness.
Analysis of Shear Effects on Mixing and Reaction Layers in Premixed Turbulent Stratified Flames using LES coupled to Tabulated Chemistry

ABSTRACT In this work, the effect of shear on turbulent lean premixed flames under stratified burning conditions including the flame TSF-A-r and TSF-D-r of the Darmstadt stratified burner, respectively, is numerically investigated. For this purpose, the large eddy simulation (LES) technique, coupled with tabulated chemistry and an artificially thickening approach, is applied. First, numerical predictions of time averaged data are compared with available experimental data in order to establish the prediction capability of the numerical approach. Then, the simulation results are exploited to analyze and characterize the stratified mixing layers and their interaction with the flame. In particular, coherent patterns in the mixing layers and their influence on the flame are pointed out. Finally, the onset and intensity of stratification of the two test cases are evaluated and compared in terms of equivalence ratio gradient, strength of the mixing and reaction layers, and scalar dissipation rates. It turns out that (1) a higher shear tends to attenuate the level of stratification, (2) the mixing and reaction layers correlate earlier and stronger with increasing turbulence, (3) a dominant premixed mode can rather be promoted with a stronger turbulence as can be observed from the ratio of the dissipation rate of the mixture fraction and that of the reaction progress variable.
Rethinking Radiation Dose-Fractionation in the Immuno-Oncology Era

Radiation therapy (RT) is a highly sophisticated and effective cancer treatment modality that is of central importance in modern oncology. It is estimated that RT contributes to 40% of all cancer cures and at least 1 in 2 cancer patients would benefit from RT during their course of illness [1,2]. An exciting development in radiation oncology is the appreciation that RT can also induce host immune responses that contribute to tumor control, beyond direct radiation-induced cytotoxicity. Underlying mechanisms include the induction of immunogenic cell death, generation of CD8+ T cell responses, increased immune infiltration of tumors, and modulation of tumor cell recognition and killing by immune cells [4-6]. Moreover, there is a growing body of work to suggest that RT and antibody-based immune checkpoint blockade (ICB) can act via non-overlapping and complementary mechanisms to promote anti-tumor immunity [5,6]. The early wave of single-arm studies testing the combination of RT and ICB promisingly reported abscopal responses (radiation-induced immune-mediated regression of tumor lesions distant to the irradiated site) at an increased frequency compared to historical controls of RT alone [7-10]. These data highlighted a beneficial interplay between the two modalities that can restore the ability of the patient’s immune system to control tumors. This was corroborated by the randomized PACIFIC, PEMBRO-RT and CA184-043 trials, which established superior survival in patients receiving RT and ICB compared to either modality alone [11-13]. Nonetheless as more clinical trials mature, an increasing number of studies are emerging that do not demonstrate a survival benefit with RT and ICB [14-16]. The seemingly contradicting data is a reflection of the major gap in our current understanding of the complex interplay between RT, tissue niche and the immune system [17]. Mechanistic insights to help guide the selection of radiation dose-fractionation schedules in combination with Abstract
The Critical Minimum Effort for Energy Poverty Challenge in India

The Socio-Economic and Caste Census of 2011 shows the extent of deprivations of rural India. Around 73.4 % of families are residing in rural India, where over 77 million households depend on kerosene for lighting; 1 million use wood and as many as 1.2 million households in India remain completely in the dark. Improvement in Access, Availability, Adequacy, and Quality of energy can contribute to poverty reduction from various aspects. From a policy-making perspective increasing access to modern energy services require, first, the integration of energy access into national development strategies, and then strong and sustainable financial, institutional, and technology frameworks must be set up. The restatement of the theory of critical minimum effort is to make a plan for the effort that needs to break the environment of inertia of energy poverty. This paper discusses the minimum effort necessary to achieve a steady secular supply of basic energy requirements for people in need. It is alarming fact that today billions of people lack access to the most basic energy services, electricity, and clean cooking facilities, and, worse, this situation is set to change very little over the next 20 years. This paper explains how to set the needed change in the orientation and execution for the service delivery mechanism of energy. Aims: The restatement of the theory of critical minimum effort as a plan to achieve a steady secular supply of basic energy requirements for people in need. Study Design: Descriptive analysis. Place and Duration of Study: Macro-level analysis on India based on Socio-Economic and caste census of 2011. Short Communication Shameem; SAJSSE, 12(4): 305-313, 2021; Article no.SAJSSE. 77148 306 Methodology: Review-driven theoretical analysis. Conclusion: Restates those large-scale actions are needed to take people out of the vicious circle of energy poverty.
Abusive Supervision and Social Capital: A Study of SMEs

ustaining a social network with synergy, mutual S and trust within a workplace is a precondition for SMEs sustainability. SMEs are facing challenges of negative individual characteristics of owner/managers, low patronage, and preservation of a synchronised workforce. This cross sectional study examines the effect of abusive supervision on social capital among 365 owner/managers, supervisors and employees of SMEs in the liquefied petroleum gas sub sector in Lagos State. Stratified proportionate sampling was used to select the respondents. The findings revealed that abusive supervision in form display of power, hostile attitude, intimidation, and public criticism predicted social capital. The study recommended that owner/managers should create social networking opportunities for employees through social support, effective communication among stakeholders, and exemplary leadership.
Millimeter Wave Wireless Communications Prentice Hall Communications Engineering And Emerging Technologies

This book comprises select proceedings of the International Conference on Smart Cities: Opportunities and Challenges (ICSC 2019). The book contains chapters based on urban planning and design, policies and financial management, environment, energy, transportation, smart materials, sustainable development, information technologies, data management and urban sociology reflecting the major themes of the conference. The contents focus on current research towards improved governance and efficient management of infrastructure such as water, energy, transportation and housing for sustainable development, economic growth, and improved quality of life, especially for developing nations. This book will be useful for academicians, researchers, and policy makers interested in designing, developing, planning, managing, and maintaining smart cities
Micro-machined vibrating ring gyroscope

To reduce the frequency split of the drive mode and the sense mode of a vibrating ring gyroscope to improve the performance of the gyroscope, a novel symmetrical structure with electromagnetic driving and detection is proposed in this paper. The Micro-machined Vibrating Ring Gyroscope (MVRG) is fabricated in centro-symmetric and mirror-symmetric micro structures by MEMS bulk silicon processing with (100) oriented single-crystal silicon, which is conductive to reducing the frequency split. A closed-loop control circuit consisting of a low noise front-end amplifier, a phase shifter and a Variable Gain Amplifier (VGA) is developed to track the drive mode resonant frequency and to stabilize the vibration amplitude of the drive mode. The test results show that the frequency split of drive mode and the sense mode is about 0.27 Hz, which means the frequencies have been matched well. The sensitivity of this gyroscope is 8.9 mV/(°/s), the resolution is 0.05°/s and nonlinearity is about 0.23% in the rotation rate ranges of±200°/s.
Framing of Christchurch Attacks in International Media: A Comparative Analysis of Muslim and Non-Muslim Press

Christchurch attacks of New Zealand were the Islamophobic attacks of 2019 which raised many questions for not only Muslim nations but also non-Muslim ones. After these attacks the whole international media got indulged into the coverage of these attacks. There were multiple discourses on the issue in the international media reflecting on the context and possible consequences of the attacks. Christ Church attacks gained the attention of the world and reactions from both Muslim and non-Muslim countries were observed. So the present study aimed to analyze the frames used by International Media to know the agenda regarding the representation of issue. The study also aimed to analyze the framing of Muslim narratives in international media by comparing the Muslim and non-Muslim media. Working under the agenda setting and framing theory through content analysis the study concluded that non-Muslim media more highlighted Christchurch attacks and their agenda remained focused to attacks as compare to nonMuslim press, while, Muslim press highlighted the narrative of Muslims in more positive way as compared to non-Muslim press. The non-Muslim press has not given attention to discuss the narratives of Muslims on the issue and was not found playing a part encountering Islamophobia. The frames used to represent the context of Christchurch attacks were pro Muslims and the coverage of these attacks was found in the favor of Muslims that tried to create a soft Image of Muslims by the selected press.
Comprehensive evaluation method study on MES implementation capability

Manufacturing Execution Systems (MES) play a key role in the informatization architecture of manufacturing firms.The studies on MES implementation are always important topics in this field.This paper proposes a comprehensive evaluation system of MES implementation capability,including comprehensive evaluation framework,multi-level evaluation indicator system,and evaluation method based on AHP and Fuzzy Set theory.In the end,an application example is presented as illustration.
Risk Quantification and Analysis for the Research-typed Projects Based on MCS Method

With standardization, informatization, scientificness, and rationalization are more and more popular in the research project management, the risk management becomes more and more important. In risk management, risks in research project should be ordered by their importance, and the influence of risks on project schedule and cost should be also analyzed. A Monte Carlo Simulation (MCS)-based method for quantifying the risk in research project is developed in order to analyze the importance, schedule as well as the cost of the project. Firstly, the method for risk data capturing and processing is developed on basis of the triangle distribution. Secondly, the circle and cost models are developed separately on basis of Earliest Start Time (EST), Earliest Finish Time (EFT) as well as the Cost Breakdown Structure (CBS). Thirdly, the sampling algorithm and flow based on MCS is defined, the analysis method for probabilistic risk error is also proposed. Finally, a leveled risk analysis method is also developed on basis of the risk quantification; the total risk is divided into the risk of project and risks of subprojects. A method for computing completion probability of appointive deadline constraint-oriented project is discussed; in the meantime, the method for analyzing subproject progress-oriented risks is developed by using the index of key targets which are Key Probability (KP) and Key Importance (KI).
Best Practices for Addressing Pedestrian Crashes on High Speed Roadways

Texas ranks as the worst state in the nation for interstate pedestrian fatalities. Almost 600 pedestrians died on interstate roadways during the 5-year period between 2007 and 2011. Texas is the fourth-highest state in terms of interstate pedestrian fatalities per 100 million interstate vehicle miles traveled. Few studies have been conducted to investigate the causes and factors that contribute to pedestrian fatalities on very high-speed roadways. For this study, the research team conducted a survey of 20 states to find out what they are doing or have done in terms of engineering, education, enforcement, and evaluation to address pedestrian safety on controlled or limited access urban interstate, freeway, and expressway main lanes where posted speed limits are 55 mph or higher. The design of the survey was based on a literature review that identified factors that correlated with pedestrian fatality rates, motivations for pedestrians entering high-speed roadways, and countermeasures that had been implemented to reduce fatalities or protect pedestrians. Survey respondents reported being aware of pedestrian safety concerns on the main lanes of high-speed, controlled-access highways. Eighty percent responded that there is a law or policy that prohibits pedestrian access on the controlled-access highways in their states. Policies and practices aimed at unintended pedestrians were more frequently cited than those addressing intentional pedestrians. The survey respondents highlighted existing practices such as the construction of overpasses/underpasses, installation of fences along rights of way or medians, and use of roadside assistance programs. In the end, researchers discussed best practices, opportunities for future research, and recommendations for increasing pedestrian safety on high-speed, controlled-access roadways.
REVEALING THE HIDDEN DETAILS OF VIDEO USING MOTION AND COLOUR MAGNIFICATION

: The real-world videos contain subtle yet informative signals which are difficult to perceive through naked eyes such as tiny motions or small color changes. We have proposed a non-contact, visualization tool that allows the determination of these temporal variations in position and colour. The proposed motion detection technique that amplifies the colour with low amplitude revealing small or invisible signals in a video using Eulerian motion magnification algorithm. The algorithm takes a video as input and magnifies the temporal colour changes and imperceptible motions using spatial-temporal processing. The proposed method was also used to estimate the heart rate of a person by combining the extracted localized time series of colour values with the onset time differences.
Research of a cluster strategy for Holter waveform

The paper presents a new cluster strategy for dynamic electrocardiogram(Holter) waveform,which is mainly faced with the huge amount of waveforms and distinct individual differences in Holter data.The strategy combines self-organized feature map(SOM) neural network,agglomerative clustering algorithm,k-means clustering algorithm together to reach the target that clusters the most similar waveforms in several kinds.The result shows that the strategy can get better clustering effect and higher clustering precision.
Effect of circuit training on physical fitness variables of Kabaddi players

The purpose of the present investigation was to determine the effects of circuit training on physical fitness variable of Kabaddi players. To achieve this sixty physically active male Kabaddi players (N = 60) were selected as subjects and their age group ranged between 18 and 25 years. The researcher gave the 8 weeks circuit training to the experimental group and tests the pre and post results from the same group. Both experimental groups underwent their respective experimental treatment for eight weeks, five days a week and one session on daily. Circuit training was comprised into ten stations. The collected data was analysed using t-test at . 05 level of significance. The result of the study revealed that there were significant improvement in physical fitness level of Kabaddi players after eight weeks circuit training.
WEB PAGE CLASSIFICATION USING TERM FREQUENCY

: World Wide Web contains a lot of web pages. Web pages contain the various types of information. Based on web page information we have to classify the web page. Web page classification is area of web mining. Web mining is the integration of information gathered by traditional data mining methodologies and techniques with information gathered over the World Wide Web. Web Page Classification can done based on different feature selection methods like term occurrence number, term frequency, Document frequency etc. This research paper is focuses on the Web Page Classification using the term frequency.
Understanding entrepreneurship: growth and its determinants

Entrepreneurship is varied and diverse kinds of entrepreneurial actions or measure that donate differently to the growth of financial system. On the other hand, growth is a managerial result that is caused by the amalgamation of organization-oriented assets, potential and practices. The growth of entrepreneurship or a particular organization is unsure. Moreover, environmental circumstances for example competition and market strategies always act as barriers in achieving desired goals. Thus it is necessary to observe the determinants of entrepreneurial growth in an innovative manner, and to discover the most significant determinants of organizational growth.