Miracle-dz/UniFAR-FTUs huggingface dataset:
Intelligent Change Operators for Search Based Refactoring

—In this paper, we propose intelligent change operators and integrate them into an evolutionary multi-objective search algorithm to recommend valid refactorings that address conﬂicting quality objectives such as understandability and effectiveness. The proposed intelligent crossover and mutation operators incorporate refactoring dependencies to avoid creating invalid refactorings or invalidating existing refactorings. Further, the intelligent crossover operator is augmented to create offspring that improve solution quality by exchanging blocks of valid refactorings that improve a solution’s weakest objectives. We used our intelligent change operators to generate refactoring recommendations for four widely used open-source projects. The results show that our intelligent change operators improve the diversity of solutions. Diversity is important in genetic algorithms because crossing over a homogeneous population does not yield new solutions. Given the inherent nature of design trade-offs in software, giving developers choices that reﬂect these trade-offs is important. Higher diversity makes better use of developers time than lots of incredibly similar solutions. Our intelligent change operators also accelerate solution convergence to a feasible solution that optimizes the trade-off between the conﬂicting quality objectives. Finally, they reduce the number of invalid refactorings by up to 71.52% compared to existing search-based refactoring approaches, and increase the quality of the solutions. Our approach outperformed the state-of-the-art search-based refactoring approaches and an existing deterministic refactoring tool based on manual validation by developers with an average manual correctness, precision and recall of 0.89, 0.82, and 0.87.
A SURVEY ON THE ANALYSIS OF EMOTIONS IN SPAMS IN SOCIAL NETWORK

: Social media, such as Twitter, is a very popular way of expressing opinions and interacting with other people in the online world. When taken in aggregation, tweets can provide a reflection of public sentiment towards events. Also, Twitter spam has become a critical problem worldwide. In this paper, we provide a positive or negative sentiment on Twitter posts using a well-known machine learning method for text categorization. In addition, we use manually labelled (positive/negative) tweets to build a trained method to accomplish a task. The trained model is based on the Naive Bayes classification method. Our aim is to detect the spam tweets and the sentiment of the tweets.
AIS Transactions on Human-Computer Interaction AIS Transactions on Human-Computer Interaction

: Information system (IS) gamification has been successful in many contexts. Yet, research has shown gamification’s success to vary between individuals. In this paper, we compare personalized versus non-personalized gamification in a warehouse management setting. We devised a 26-participant within-subject experiment in which we programmed goal setting and feedback gamification elements into a wearable warehouse management system to evaluate the effectiveness of personalized gamification in terms of user performance. We examined the extent to which personalized gamification succeeded by categorizing participants into one of six user types through the HEXAD scale and then evaluating their performance time and errors across user types and conditions. We found that personalized gamification is more effective than non-personalized gamification. We present and discuss the motivational mechanisms through which personalized gamification can be more effective
Amphibian diversity, endemism and habitat associations within and outside the selected mining sites in Caraga Region, Philippines

Being archipelagic, the Philippines has been recognized as one of the centers of high amphibian diversity and endemism. However, the overlap of mining areas with the habitats of these critical environmental indicators has continuously challenged their existence. Thus, we conducted a study assessing the diversity, endemism, habitat associations, and survival envelopes of amphibian species within and outside of the selected mining sites in Caraga region, Philippines. We have documented thirty-four amphibian species, 15 of which are endemic to the country with four solely distributed species in Mindanao Faunal Region. Eleven species were found vulnerable and one near-threatened based on the IUCN classification. Endemism and species diversity were observed to be higher outside than inside of the mining area. It is argued that these results could be attributed to the loss of habitat and forest fragmentation within the mined area. The observed anuran species prefer forest habitat than in an open/disturbed area; however, some of these forest-associates extend their survival envelope at the forest and non-forest area interface. Survival envelopes or niche widths of forest and globally threatened species are narrow, explaining why their populations decline worldwide. The presence of endemic and globally threatened species in the area is inkling for some conservation efforts to be in place, especially for populations with low abundance in the area, such as P. poecilus, L. parvus, N. spinosus and P. acutirostris.
GENDER IDENTIFICATION USING FACE IMAGES

— Gender classification is arguably one of the more important visual tasks for an extremely social animal like us humans— many social interactions critically depend on the correct gender perception of the parties involved. Many research studies have been conducted on face recognition to improve its accuracy since the first research. But face recognition still far from achieving accuracy that on par with human facial features and gender classification. However, all of them have still disadvantage such as not complete reflection about face structure or face texture. In general, gender classification in supervised learning setting requires extraction of features from face images, training classifiers using those features (eyes, nose and mouth) and finally performing classification of new faces. This work uses appearance-based approach with dimensionality reduction techniques for feature extraction. The features extracted from the training set are used for training KNN/SVM classifier. And finally images in the test set are classified using the classifier. Also we try to achieve much more accuracy than previous approaches. In this paper described two phases such as feature extraction phase and classification phase
Low input impedance trans-impedance type multifunction filter using only active elements

In this paper, a new trans-impedance mode single-input–three-output (SITO) filter using opamp compensation poles is presented. The proposed circuit is composed of two internally compensated operational amplifiers (OAs) and four single-output operational transconductance amplifiers (OTAs), without using any external passive elements. The proposed multifunction filter can realize lowpass, bandpass and highpass responses simultaneously all at low output impedances. No matching condition is required. The circuit is suitable for monolithic implementation either with complementary metal oxide semiconductor (CMOS) or bipolar technologies. All of active sensitivities are low. The performance of the circuit is tested using SPICE simulation program.
GSMMC-2021 Project-Water flow through plants and its impact on climate

Plant Hydraulics is an important part of understanding climate dynamics because it describes plants’ important key role as a link between the land and the atmosphere. In an Earth System Model (ESM), i.e., a model that is able to capture the complex dynamics of the Earth via the complex interactions between all its components (ocean, atmosphere, land and ice masses, etc), plants constitute what is referred to as the land biosphere. We seek to form a simple model that can be expanded upon and integrated into an ESM. This model looks at how plants, more specifically trees, absorb water through roots from the ground and use capillary effects to move water to their leaves where they can control water loss through controlling their stomata (tiny pores on leaves) aperture/closure mechanism. Transpiration is the loss of water from a plant in the form of water vapor. Water is absorbed by roots from the soil and transported as a liquid state to the leaves via the xylem, that is the plant vascular tissue that conveys water and dissolved minerals from the roots to the rest of the plant. In the leaves, small pores (stomata) allow water to escape as a vapor state, depending on the plant’s surrounding environment and available resources (stomatal openings try to maximize the difference between carbon
RAIN: A Vision Calibration Tool using Augmented Reality

Robots rely on noisy sensors to accomplish their tasks. For example, depth camera sensors output 3D data which are then interpreted by visual algorithms to segment objects of interest. Robots often need their sensor algorithms re-calibrated due to environmental changes, malfunctions, or periodic maintenance to continue operation which is only accomplished with expertise. In this work, we developed an Augmented Reality based calibration tool that enables users of all experiences to calibrate computer vision algorithms. We used common filtering and segmentation techniques for 3D data sets to adjust the rendered visual output. Finally, we describe the design of a study to evaluate four different visualization designs and their effect on user satisfaction and effectiveness.
SMART GLOW ASSISTANCE SYSTEM FOR ILL AND DUMB PEOPLE

this world so many of people facing the physically handicapped problems. In this situation they can’t do their own works and every time they need others help. To face this problem, we have tried to make a system, it helps for physically handicapped persons, also for ill people who can’t even walk in that period and dumb people. This paper presents a smart glove system that contains transmitter and receiver sections. We can fix the receiver part wherever we want in the home and it contains RF receiver, fan and bulb, speakers and raspberry pi controller. Transmitter part contains glove that can easily wearable to hand and it contains flex sensors, accelerometer and RF transmitter and Arduino microcontroller. It gives the voice output what they want to say, also gives the present location of patient and it can controls the devices like fan and bulb etc. In this we have used Zigbee for wireless communication, GPS module for getting location, Arduino controller for transmitter section and raspberry pi for receiver section. IndexTerms Flex sensor, Zigbee, RF transmitter and receiver, accelerometer, GPS module, Arduino and raspberry pi.
A Survey on Document Clustering Approach with Multi-Viewpoint based on different similarity measures

: There is a fast-growing large amount of available electronic information such as online newspapers, journals, conference proceedings, Web sites, e-mails, etc. Using all this electronic information controlling, indexing or searching is not possible for human and for search engines also. Thus, automatic document organization is a critical issue. By using document clustering methods, we can understand data distribution or we can pre-process data for other applications. For an example, if a search engine uses clustered documents to search an item or data, it can produce results more effectively and efficiently. Document clustering is an approach of automatic clustering operation of text documents so that related documents are presented in same cluster, unrelated documents are presented in different clusters. Document Clustering is a technique of an unsupervised learning to group related documents into a cluster, each cluster consist of documents that are related to one another within the same clusters and are unrelated to documents belonging to other cluster. Before applying any clustering methods, a similarity (related)/distance measures must be determined. The similarity(related) measure reflects the degree of closeness of the target objects. In this paper, we introduce document clustering on Multiview point based similarity measure and two related clustering methods. The existing traditional dissimilarity/similarity based document clustering measure uses only a single viewpoint. This is the origin, while ours usesmany other different viewpoints.
The impact of political stability on economic performance in Africa: Evidence from 40 African countries L'impact de la stabilité politique sur la performance économique en Afrique : Évidence provenant de 40 pays africains

The economy, like all other human activities, would not be properly exercised in a place where there is a societal unsteadiness. Indeed, governments place the maintenance of political stability at the center of their interests. So, what is the impact of maintaining this stability upon the economic performance? To provide an answer to this question, we have studied this dynamic on the most unstable continent on the planet, Africa. This paper attempts
Improvement the work effectivenes of static var compensators by using of two-input adaptive controllers

Improvement the work effectivenes of static var compensators by using of two-input adaptive controllers In the paper is suggested a two-input adaptive controller for control of static var compensator (SVC). The controlling system of adaptive controller is identifying in real time of the basis for estimated parameters and variables of identification model and after that controlling signal is created for the compensator. As result of this controlling is improving vastly damping of power system like all performances as in transient processes as in steady state mode are improved.
Interactive comment on “A rainfall design method for spatial flood risk assessment: considering multiple flood sources” by X. Jiang and H. Tatano

This paper deals with the problem of flood risk assessment in urban area, by combining a classical design approach based on rainfall IDF curves and a copula method enabling to combine different durations. By doing that, author indicates that this new method makes it possible to combine risks from multi-sources, ie : from “coastal flooding, flooding from river channels and inundation caused by insufficient drainage capacity”.
Unimaginable Problems and the Knowledge Creation Process Associated with Innovation in a Technology-Based Company

The present article is based in a recent research conducted by the Author. After conducting it in a multinational company that holds a strong position in different sectors of the economy, the research identified a corporate strategic dimension, with the main objective of creating a stimulating environment for initiatives related to innovation. The research also identified eight operational dimensions typical of research in innovative product development environments. One of these operational dimensions is about the problems that may arise during the development of the product, specifically unimaginable problems, impossible to be predicted in the structuring stage of the project. This article focuses on understanding this dimension and its relevance in the context of the development of innovative products.
J ul 2 01 2 Supersymmetry on Curved Spaces and Holography

We study superconformal and supersymmetric theories on Euclidean fourand threemanifolds with a view toward holographic applications. Preserved supersymmetry for asymptotically locally AdS solutions implies the existence of a (charged) “conformal Killing spinor” on the boundary. We study the geometry behind the existence of such spinors. We show in particular that, in dimension four, they exist on any complex manifold. This implies that a superconformal theory has at least one supercharge on any such space, if we allow for a background field (in general complex) for the R-symmetry. We also show that this is actually true for any supersymmetric theory with an R-symmetry. We also analyze the three-dimensional case and provide examples of supersymmetric theories on Sasaki spaces.
Team Communication with and without Aids for Transmitting Remote Information

The introduction of unmanned vehicles (UVs) and real-time electronic information presentation to military teams is intended to keep Soldiers safe and enable more effective performance. Two game-based experiments were conducted in which teams conducted a time-limited “Black Hawk Down” rescue mission with and without UV-provided information. When UV information was available, it was relayed between team members in face-to-face communication or remotely, with or without electronic maps, and with or without video images from the UV. Three types of analyses were performed. The communication content of the verbal protocol was analyzed and the use of information display technologies and employment of strategies was tabulated. The verbal protocol analyses revealed the push/pull of team communication and common confusions. Results of the technology use and strategy assessment form the basis for recommendations for display design and recommended practice for the use of such technologies in the field.
Vane-Turbine as an Energy Conversion in the Propeller Slipstream of Single Screw Ship

The screw propeller of a ship generates thrust to make it moving. As a propeller rotates, it draws fluid into itself from the surrounding area (slipstream). The propeller produces two types of flow behind it, accelerated and circulated flows. Some of the energy from the ship engine is lost in the accelerated flow behind ship as a jet wash.The kinetic energy losses in the slipstream propeller captured by a turbine called the propeller-turbine system. This composed screw propeller of a vessel (the main propeller) and a vane turbine that is the area of vanes located inside the wake of the main propeller. It recovers the energy generated by the main propeller pushing water back out (which would be otherwise wasted behind the main propeller) and hopefully enhancing the efficiency of the main propeller.The influence of vane turbine on the performance breakdown of single screw ships were analyzed by using 5 (five) ships . Ship powering was calculated by using DESP Code 10 software. Thrust and power of vane turbine were calculated by applying actuator disc theory. Although the vane turbine affected speed loss of the ship, the power efficiency gained to be found always positive. Vane turbine is suitable as an energy saving device of the single screw ship.
Numerical electromagnetic field analysis on measuring methods of tower surge impedance

The dependence of the tower surge impedance on the measuring methods is studied with the help of NEC-2. The tower surge impedance measured by the direct method varies dependent on the arrangement of the current lead wire. The arrangement of a vertical current lead wire and a horizontal voltage measuring wire gives about 20% higher value than that measured with a horizontal current lead wire in extension to a voltage measuring wire. The former gives about 150 /spl Omega/ for a typical double-circuit transmission tower and it is almost equal to the value given by the estimating method recommended by the IEEE Working Group. The tower surge impedance evaluated from the current splitting ratio at the tower top is more than 20% higher than that characterized by the direct method when the current is injected into the connecting point from a simulated vertical lightning stroke. On the other hand, the tower surge impedance evaluated by the refraction method is about 10% lower than that characterized by the direct method.
Factors affecting talent management in Parastatals in Kenya

The greatest asset for any Country in general and Organization in particular is it's human capital. In the recent past the ability to retain talented employees is becoming a challenge in public service resulting to loss of employees to other organizations including brain drain to other countries. This is great loss in terms of skills, talents , resources and erosion of Institutional memory. Talent management is therefore crucial and indispensible for any organization's management practice. The study was to investigate factors affecting talent Management in State Parastatals in Kenya. More specifically the study sought to evaluate the influence of recruitment strategies, talent development, talent retention and performance management on talent management. The study will concentrate on the factors: recruitment strategies, talent development, talent retention and performance management. Descriptive research was used in the research. The target population was 147 State Parastatals in Kenya, while the study population was a Human Resource Practitioner of a state Parastatal. 30% of Kenyan State Parastatals was studied, the Parastatal was randomly picked. The sample size was 44 Human Resource practitioners. Primary data was oollected using a questionnaire. A pilot test was conducted to establish the validity and reliability of the questionnaire. Regression analysis was used to establish to what extent each variable affects the dependant variable.
Strategies to decrease COVID-19 vaccine hesitancy for children

Abstract Objectives This study aims to understand acceptable strategies to enhance the COVID-19 vaccine uptake among mothers who have no intention to vaccinate their children. Methods In a cross-sectional study, using an online survey in March 2021, we evaluated the variables within the Health Belief Model (severity, susceptibility, benefits, barriers and cues to action) along with parents’ sociodemographic characteristics, previous COVID-19 infection, job loss due to COVID-19 pandemic and the presence of healthcare workers among the household. Total number of children in the household and their chronic health conditions were also assessed. Multivariable logistic regression was performed to evaluate the intention to vaccinate children against the COVID-19 and associations with other variables. Key findings The survey response rate was 32.30% (595/1842). Most of the participants were White (72.1%), 31–40 years old (55.46%) and married or in a cohabiting relationship (90.25). Out of 595 mothers with 3–15 years old children, 38.32% had no intention to vaccinate their children. Top factors associated with intention were perceived susceptibility (P = 0.002), benefits (P < 0.001), barriers (P < 0.001), cues to action (P < 0.001) and the presence of healthcare workers in the household (P = 0.032). The main barriers were concerns about vaccine safety, efficacy and side effects. The strongest cue to action was enough information being provided followed by doctors’ recommendations. Conclusions Strategies to increase vaccination for children lie in the process of convincing parents with providing reliable information on the vaccine safety, efficacy and side effects by paediatricians and other healthcare providers.