Miracle-dz/UniFAR-FTUs huggingface dataset:
Using Machine Learning Methods for Automatic Bug Assignment to Developers

Background and Objectives: It is generally accepted that the highest cost in software development is associated with the software maintenance phase. In corrective maintenance, the main task is correcting the bugs found by the users. These bugs are submitted by the users to a Bug Tracking System (BTS). The bugs are evaluated by the bug triager and assigned to the developers to correct them. To find a related developer to correct the bug, recent developers’ activities and previous bug fixes must be examined. This paper presents an automated method to assign bugs to developers by identifying similarity between new bugs and previously reported bug reports. Methods: For automatic bug assignment, four clustering techniques (i.e. Expectation-Maximization (EM), Farthest First, Hierarchical Clustering, and Simple Kmeans) are used where a tag is created for each cluster that indicates an associated developer for bug correction. To evaluate the quality of the proposed methods, the clusters generated by the methods are compared with the labels suggested by an expert triager. Results: To evaluate the performance of the proposed method, we use real-world data of a large scale web-based system which is stored in the BTS of a software company. To select the appropriate algorithm for the clustering, the outputs of each clustering algorithm are compared to the labels suggested by the expert triager. The algorithm with closer output to the expert opinion is selected as the best algorithm. The results showed that EM and FarthestFirst clustering algorithms with 3% similarity error have the most similarity with the expert opinion. Conclusion: the results obtained by the algorithms show that we can successfully apply them for bug assignment in real-world software development environments. ======================================================================================================Copyrights©2020 The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers. ======================================================================================================
The Effect Spirituality in the Workplace on Organizational Performance with Job Satisfactionas a Moderating Variable In South Sulawesi’s Hospital

This study aims to determine the impact of the spirituality in workplace on organizational performance with job satisfaction as a moderating variable. This study used a survey method. The research data were analyzed using the Moderating Regression Analaysis (MRA) method. This study provides results that (1) Workplace spirituality (sense of community and meaning at work) has positive and significant impact on the organizational performance, while inner life does not affect organizational performance; (2) job satisfaction does not affect organizational performance; and (3) job satisfaction is able to moderate effect between spirituality in the workplace and organizational performance. The implications of this research expected to provide service organizations, especially in hospitals, to consider conducting training related to spirituality and provide a work environment that can support the spirituality of employees, so the employees can create a comfortable and friendly environment for each others in the organization.
Application of cellulase preparation to guava mash treatment in juice processing: optimization of treatment conditions by RSM

The objective of this study was to use cellulase preparation in guava mash treatment for improvement in juice yield and quality. Firstly, the effect of enzyme concentration and biocatalytic time on the juice yield was investigated. Response surface methodology was then employed to select enzyme dosage and treatment time for maximizing juice yield. The results showed that optimal concentration of cellulase preparation and treatment time were 0.13% (w/w) and 93 minutes, respectively. Under these conditions, the extraction yield, total sugars and phenolics level in the obtained juice increased 22.3%, 20.0% and 11.5%, respectively in comparison with those in the control sample. Although cellulolytic treatment decreased the content of ascorbic acid in guava juice, the antioxidant activity of the product was increased 21.8% in comparison with that in the control sample.
Prescribing pattern of dipeptidyl peptidase 4 inhibitors and level of HBA1C target achievements among outpatients with type 2 diabetes mellitus in a Malaysian university teaching hospital

Background and Aims: Oral antidiabetic drugs, including Dipeptidyl Peptidase 4 Inhibitors (DPP4i), are the mainstay for therapeutic management of type 2 diabetes mellitus (T2DM). We aimed to describe the prescribing pattern of DPP4i agents and to assess the achievement of the target HbA1c levels among current DPP4i users at a Malaysian University teaching hospital. Material and Method: A retrospective cross-sectional study was conducted in the outpatient diabetes clinic of a university teaching hospital in Pahang, Malaysia. The data included adults with T2DM who received DPP4i prescriptions at least three months before December 2019 and reported data of HbA1c after at least three months from the index date. Evaluation of the DPP4i prescribing patterns referred to the national clinical practice guidelines. Results: 140 cases were included. Sitagliptin 50 mg is the most commonly prescribed DPP4i regimen (72.1%), and its combination therapy with metformin contributed to 67.1% of the total DPP4i prescriptions. About 35% of patients achieved their target HbA1c levels after at least three months on DPP-4 inhibitors therapy. There was no significant association between the type of DPP4i and the target HbA1c achievement (p=0.205). Conclusions: DPP4i medications were more prescribed as combination therapy with metformin, compared to monotherapy except for vildagliptin. Gliclazide was the most common co-prescribed OAD with vildagliptin. Barriers to achieving optimal glycemic control for patients on OAD, particularly DPP4i, need further investigations.
CONCEPTUAL METAPHORS OF SPRING IN ENGLISH AND VIETNAMESE SONG LYRICS

This paper summarily reports the results of a study which attempts to identify conceptual metaphors of spring through their representations called metaphorical expressions in English and Vietnamese song lyrics from cognitive perspective based on the theory of conceptual metaphors initiated by Lakoff and Johnson, with the work Metaphors We Live by (1980a). The data collected from 205 English and Vietnamese songs (98 and 107 songs respectively) from the 20 century to the present consist of 736 metaphorical expressions. By employing description as the main method with the assistance of comparative method, and utilizing the procedure of conceptual metaphor identification (Steen, 1999, p. 73), the study unveils the similarities and differences of conceptual metaphors of spring in English and Vietnamese songs. The results reveal that English and Vietnamese share 12 conceptual metaphors of spring (out of 20 ones in total). Moreover, the explanations are given to elaborate on these results in terms of culture, including people’s living experiences and environment.
Identification of Volatile Organic Compounds from Trichoderma virens (6011) by GC-MS and Separation of a Bioactive Compound via Nanotechnology

Fungal volatile organic compounds (VOCs) have the potential of being used as biocontrol agents for biotechnological applications in agriculture, industry and medicine. In this research, different VOCs from secondary metabolites of biocontrol fungus Trichoderma virens (6011) KP671477 were separated using n-hexane, n-butanol and methanol solvents and identified by gas chromatography–mass spectrometry (GC-MS) device. According to mass spectra library searching, more than 200 volatile compounds (with spectral match factor higher than 80%) such as alkanes, alkenes, alcohols, organic acids, aromatic compounds, aldehyde, etheric, esteric, phenolic, kenotic derivatives and, sulfur and nitrogen compounds, have been detected. Some of the VOCs such as di-butyl phthalate (DBP) had antifungal activity. The antifungal effect of DBP as a case study was checked and confirmed in in-vitro conditions. DBP as a bioactive compound was separated from secondary metabolites using Molecularly Imprinted Polymers (MIPs) as a solid sorbent. Two kinds of the MIPs were synthesized via bulk polymerization and precipitation polymerization. Nanoporous MIPs for DBP, with binding capacity ca.462 mg.g-1 and the specific surface area 479m2.g-1 were synthesized via bulk polymerization method while the synthesized MIPs via precipitation technique had the binding capacity ca.830 mg.g-1 with specific surface area 690 m2.g-1. The synthesized MIPs were evaluated by scan electron microscopy (SEM) device and Brunner Emmett-Teller (BET) analysis. Results showed that, the MIPs nanotechnology can be suggested as a suitable alternative method for separation of the chemical toxins. This study introduces a simple method under laboratory conditions to separate the bioactive compounds from fungal secondary metabolites.
Morphological rearrangement of the metabolic link of the microcirculatory bed of guinea pigs lungs after sensitization with ovalbumin

Materials and methods. We have studied the lungs of 48 guinea pigs, using histological and morphometric methods, under conditions of experimental ovalbumin-induced allergic inflammation, simulated by three-time subcutaneous sensitization and subsequent 8-day intranasal inhalation of ovalbumin. To estimate the structural and functional state of capillaries, the inner diameter of the vessels was determined.
LONG TERM RESULTS OF DISTAL CAPITATES SHORTENING WITH CAPITOMETACARPAL ARTHRODESIS FOR TREATMENT OF EARLY STAGES OF KIENBÖCK’S DISEASE

Background: The aim of surgical management of Kienbock’s disease has been proposed to slow the progressive osteonecrosis and secondary carpal damage. Objective: To evaluate the effect of distal capitate shortening and arthrodesis to the base of the third metacarpal bone for treatment of the early stages of Kienbock’s disease with neutral ulnar variance. Patients and Methods: This Retrospective study was conducted on 20 patients managed at the hand surgery unit of Al-Azhar University Hospitals. Patients were divided into 2 groups by disease stage: Stage II (n=14) and stage IIIA (n=6). There were 13 male and 7 female, with an average age of 26.8 years. Parameters measured before and after surgery were visual analogue scale (VAS) for pain evaluation, grip strength, range of motion (ROM), ulnar variance, carpal height index, lunate height index, and the scapholunate and scaphocapitate angles. The patients were evaluated in accordance to Modified Mayo Wrist Score (MMWS). Results: The average follow-up period was 7.13 years (range, 6.8 -7.9 years). The stage II group showed significant improvements in the mean VAS (58-5), ROM (57% to 73%), grip strength (54% to 75%), and MMWS (51-78). Patients in the stage IIIA group showed non-significant changes in mean VAS score (64-42.5), ROM (52.5%to 55.5%), grip strength (46.5%to57.5%), and MMWS (36-50.5). Significant decreases in the carpal height index and scaphocapitate angle, and an increase in scapholunate angle in all stage IIIA patients were observed. Conclusions: Distal capitate shortening with capitometacarpal arthrodesis can decrease pain and improve ROM and grip strength in patients with stage II Kienbock’s disease, but not in those with stage IIIA. Also, it cannot prevent carpal collapse, especially in stage IIIA of the disease. So, this is not recommended for treating stage IIIA patients.
Optimal Location and Determination of Fault Current Limiters in the Presence of Distributed Generation Sources Using a Hybrid Genetic Algorithm

Nowadays, the presence of distributed generation (DG) units in the distribution network is increasing due to their advantages. Due to the increasing need for electricity, the use of distributed generation sources in the power system is expanding rapidly. On the other hand, in order to respond to the growth of load demand, the network becomes wider and more interconnected. These factors increase the level of fault current in the power system. Sometimes this increase causes the fault current level to exceed the ability to disconnect the protective devices, which can cause serious damage to the equipment in the power system. Using fault current limiters (FCLs) in power system is very promising solution in suppressing short circuit current and leads use of protective equipment with low capacities in the network. In this paper, in order to solve the problem of increasing the fault current, first using sensitivity analysis, network candidate lines are selected to install the fault current limiter, which helps to reduce the time and search space to solve the problem. Simultaneously finding the optimal number, location and amount of impedance for the installation of a resistive superconductor limiter is solved using the multi-objective Nondominated genetic algorithm with non-dominated sorting (NSGA-II). The method presented in a 20 kV ring sample network, simulated in PSCAD software, is evaluated in the presence of distributed generation sources and its efficiency is shown.
Developing Web-Based Online Advertisement Targeting System for 3D Models

– The paper presents a strategy for implementing a hybrid recommender system to a 3D online marketplace to realize a more efficient funneling of 3D models recommendations. The 3D models’ marketplace is an ever-growing medium which supplies to movies, commercial or video games, production quality finished assets ready to be included in their project. A robust targeted advertising mechanism leads to a better browsing experience for the end user and a more efficient monetization campaign. The following research also reveals a strategy for elevating the user experience for visualizing 3D models in an online marketplace. The targeted approach proposes the implementation of a web-based engine which allows full interaction with the 3D model, rather than browsing a series of renders or scrolling a through a 360 animation, the standard approach used by current marketplaces. The system will contain an extra layer of recommendations targeting the vendors, and presents a strategy to dynamically adjust the prices of the 3D models existing in the online marketplace based on prediction algorithms.
-ATPase Isoform Impairs Sucrose Translocation, Stomatal Opening, Plant Growth, and Male Fertility

The plasma membrane H 1 -ATPase builds up a pH and potential gradient across the plasma membrane, thus activating a series of secondary ion and metabolite transporters. pma4 (for plasma membrane H 1 -ATPase 4), the most widely expressed H 1 -ATPase isogene in Nicotiana plumbaginifolia , was overexpressed in tobacco. Plants that overexpressed PMA4 showed no major changes in plant growth under normal conditions. However, two transformants were identified by their stunted growth, slow leaf initiation, delayed stem bolting and flowering, and male sterility. Protein gel blot analysis showed that expression of the endogenous and transgenic pma4 was cosuppressed. Cosuppression was developmentally regulated because PMA4 was still present in developing leaves but was not detected in mature leaves. The glucose and fructose content increased threefold, whereas the sucrose content remained unchanged. The rate of sucrose exudation from mature leaves was reduced threefold and the sugar content of apical buds was reduced twofold, suggesting failure of sucrose loading and translocation to the sink tissues. Cosuppression of PMA4 also affected the guard cells, stomatal opening, and photosynthesis in mature leaves. These results show that a single H 1 -ATPase isoform plays a major role in several transport-dependent physiological processes.
Context-Based Expert Finding in Online Communities Using Ant Colony
 Algorithm

Online communities are the most popular interactive environments on the Internet, which provide users with a platform to share their knowledge and expertise. The most important use of online communities in cyberspace is sharing knowledge. These communities are a great place to ask questions and find answers. The important challenges of these communities are the large volume of information and the lack of a method to determine their validity as well as expert finding which attracted a lot of attention in both industry and academia in. Therefore, identifying persons with relevant knowledge on a given topic and ranking them according to their expertise score can help to calculate the accuracy of the comments submitted on the internet. In this research, a model for finding experts and determining their domain expertise level by the aid of statistical calculations and the ant colony algorithm in the MetaFilter online community was presented. The WordNet Dictionary was used to determine the relevance of the user’s questions with the intended domain. The proposed algorithm determines the level of people’s expertise in the intended field by using the pheromone section of the Ant colony algorithm, which is based on the similarity of the questions sent by the users and the shared knowledge of the users from their interactions in the online community
COVID-19-Related Mortality across the Gulf Cooperation Council Countries: Based on Countries’ Available Data Up to November, 2020

Background: The world has endured a high burden of mortality and morbidity due to Covid-19 over the last year. There may be factors that account for differences in mortality rates. The Gulf Corporation Council (GCC) countries share similar cultural identities, socioeconomic conditions, population structure and display similar health-status composition of their population. There is a Original Research Article Ahmad et al.; AJMAH, 18(11): 159-166, 2020; Article no.AJMAH. 64093 160 demand for data on the differentials of the COVID-19 pandemic across all countries. This statistical analysis primarily compared the crude mortality rates, and estimates the relative risk of COVID-19 death rates across the GCC countries using longitudinal study design. Methods: This statistical analysis used downloaded data from Our World in Data, which was last updated on November 19, 2020. We computed COVID-19 crude mortality rates for the GCC countries individually. We estimated COVID-19 death rates for the GCC countries and compared them to the reference largest country Saudi Arabia. To adjust for most relevant confounding factors for COVID-19 deaths, a Poisson mixed effect regression model was fitted with COVID-19 new cases and the number test per case as fixed effect predictors of COVID-19 deaths. Results: The estimated relative risk of COVID-19 deaths rates for UAE and Qatar was 0.352 (95% CI: 0.220-0.564, p-value <0.001) and 0.467 (95% CI: 0.287-0.762, p-value = 0.002), respectively, showing 64.8% and 53.3% fewer COVID-19 death rates compared to Saudi Arabia, individually. No statistically significant difference was found between Bahrain, Kuwait and Oman as compared with Saudi Arabia. Conclusion: The UAE has the lowest COVID-19 death rate among any other GCC countries, followed by Qatar. In addition, the number of tests per case were negatively associated with the number of Covid-19 deaths. Besides, the number of new COCID-19 infections relative to the number of patients correlates with the number of patient deaths.
Utilize smartphone as a novel detector for enzymatic urea hydrolysis in microfluidic system

In this work, PMMA(Poly methyl methacrylate) microfluidic system was used as a micro-reactor for urea hydrolysis by urease enzyme with use conductivity principle and utilize sound level meter(SLM) App in smartphone as a novel detector by considering the peak height in the App as an indicate for urea concentration. the advantage of use small volume and how the reaction carried on in the microfluidic system with simple and low cost are discussed, and the results were analyzed and statically determine. The linearity, detection limit (3×noise )and Correlation Coefficient, 62.5-500 ppm, 31.25 ppm and 0.992 respectively also, recovery studied were between(98.5-100.13%).
Using the Periapical Index to evaluate the healing of periapical lesions after root canal treatment

Aim: Root canal treatment is aimed at curing or preventing periapical periodontitis. This study aimed to radiographically evaluate the remission of periapical lesions after root canal treatment. Materials and Methods: An observational, longitudinal, ambispective (retrospective and prospective) and comparative (before and after) study at the endodontic clinic of the Autonomous University of State of Mexico was realized. Nineteen patients were included who met the inclusion and exclusion criteria. A periapical x-ray of follow-up and evolution was performed in the period February–June 2017 and compared with the initial radiograph. The periapical root status was evaluated using the periapical index (PAI) described by Orstavik et al., in 1986. Results: 36.8% were male and 63.2% female. The mean age was 40.31±12.75 years. The mean number of days elapsed between the initial radiograph and the control radiograph was 618.42±102.38. The comparison of the initial and final periapical state of all teeth was favorable; in all, a positive change in the periapical lesion was observed (p=0.0001). Conclusions: The root canal treatment in the sample studied reduces apical periodontitis with a high rate of success, allowing the periradicular tissues of the dental organs to recover their state of health. In developing countries, like Mexico, root canal treatment is a procedure that demonstrates effectiveness at 2 years after it is done. This kind of treatments is recommended to preserve the teeth in the Mexican population.