Towards an automation of the traceability of bugs from development logs: A study based on open source software

Context: Information and tracking of defects can be severely incomplete in almost every Open Source project, resulting in a reduced traceability of defects into the development logs (i.e., version control commit logs). In particular, defect data often appears not in sync when considering what developers logged as their actions. Synchronizing or completing the missing data of the bug repositories, with the logs detailing the actions of developers, would benefit various branches of empirical software engineering research: prediction of software faults, software reliability, traceability, software quality, effort and cost estimation, bug prediction and bug fixing. Objective: To design a framework that automates the process of synchronizing and filling the gaps of the development logs and bug issue data for open source software projects. Method: We instantiate the framework with a sample of OSS projects from GitHub, and by parsing, linking and filling the gaps found in their bug issue data, and development logs. UML diagrams show the relevant modules that will be used to merge, link and connect the bug issue data with the development data. Results: Analysing a sample of over 300 OSS projects we observed that around 1/2 of bug-related data is present in either development logs or issue tracker logs: the rest of the data is missing from one or the other source. We designed an automated approach that fills the gaps of either source by making use of the available data, and we successfully mapped all the missing data of the analysed projects, when using one heuristics of annotating bugs. Other heuristics need to be investigated and implemented. Conclusion: In this paper a framework to synchronise the development logs and bug data used in empirical software engineering was designed to automatically fill the missing parts of development logs and bugs of issue data

An Effective Hybrid Approach Based on Machine Learning Techniques for Auto-Translation: Japanese to English

In recent years machine learning techniques have been able to perform tasks previously thought impossible or impractical such as image classification and natural language translation, as such this allows for the automation of tasks previously thought only possible by humans. This research work aims to test a naïve post processing grammar correction method using a Long Short Term Memory neural network to rearrange translated sentences from Subject Object Verb to Subject Verb Object. Here machine learning based techniques are used to successfully translate works in an automated fashion rather than manually and post processing translations to increase sentiment and grammar accuracy. The implementation of the proposed methodology uses a bounding box object detection model, optical character recognition model and a natural language processing model to fully translate manga without human intervention. The grammar correction experimentation tries to fix a common problem when machines translate between two natural languages that use different ordering, in this case from Japanese Subject Object Verb to English Subject Verb Object. For this experimentation 2 sequence to sequence Long Short Term Memory neural networks were developed, a character level and a word level model using word embedding to reorder English sentences from Subject Object Verb to Subject Verb Object. The results showed that the methodology works in practice and can automate the translation process successfully

Enzymatic pretreatment of grey cotion fabric for improving dye uptake, lustur and hand feel using fungal cellulase

Cellulase enzyme was extracted from pineapple peel substrate using Aspergiluss niger.  Because enzymes are sustainable alternatives to harsh toxic chemicals used in the Textile Industries. Cotton fabrics were treated with cellulase at variable concentrations at a pH of 5.5 and 55°C. Changes in various properties of the treated fabrics like weight loss, lusture, soft touch and overall dyeing properties were investigated. The results obtained show that cellulase have successfully removed staple fibres from the fabrics and thus, yield a glabrous appearance and soft touch of the treated fabrics; furthermore, it was established that percentage dye uptake and fastness properties of the fabrics were greatly improved as confirmed by the FTIR spectral analysis and UV- visible spectrophotometric analysis of the absorbance maximum of the dye liquor before and after dying.Key Words: Cellulase, Aspergillus niger, pre- treatment, cotton fabric and dye uptake

Anticonvulsant activity of methanol leaf extract of Celtis integrifolia Lam (Ulmaceae) in chicks and mice

Background: Celtis integrifolia commonly known as (African Hackberry) and locally called Zuwo in Hausa, is a medicinal plant whose root, leaves and bark are used in northern Nigeria in the treatment epilepsy. Objective: The study evaluated the anticonvulsant activity of the methanol leaf extract of Celtis integrifolia in chicks and mice. Methodology: Preliminary phytochemical screening and acute toxicity studies were carried out. The anticonvulsant activity of methanol leaf extract of Celtis integrifolia (200, 400 and 800 mg/kg, intraperitoneally) was assessed using maximal electroshock seizure test in chicks, pentylenetetrazole, 4-aminopyridine and strychnine tests in mice. Results: Alkaloids, saponins, flavonoids, tannins and glycosides were detected in Celtis integrifolia, while the interperitoneal median lethal dose was estimated to be 2,154 mg/kg in mice. The methanol leaf extract of Celtis integrifolia significantly (p < 0.01) delayed onset of seizure induced by MES and provided 20.0% protection to chicks at 200 mg/kg dose. The onset of seizure behavior and latency to death was significantly (p < 0.01) increased by the extract, while 16.7 and 33.3% protection (200 and 400 mg/kg, respectively) was conferred to mice against pentylenetetrazole induced seizure. The extract at the dose of 200 mg/kg protected 50.0% of mice against 4-Aminopyridine induced seizure and significantly (p < 0.01) delayed onset of seizure behavior. The extract did not show any activity in the strychnine induced seizure model. Conclusion: The study shows that Celtis integrifolia methanol leaf extract possess anticonvulsant activity, thus lending credence to the ethnomedicinal claim for the use of the plant in the management of epilepsy. Keywords: Celtis integrifolia, anticonvulsant, maximal electroshock seizure, pentylenetetrazole, 4-aminopyridin

Towards an Automation of the Traceability of Bugs from Development Logs

Context: Information and tracking of defects can be severely incomplete in almost every Open Source project, resulting in a reduced traceability of defects into the development logs (i.e., version control commit logs). In particular, defect data often appears not in sync when considering what developers logged as their actions. Synchronizing or completing the missing data of the bug repositories, with the logs detailing the actions of developers, would benefit various branches of empirical software engineering research: prediction of software faults, software reliability, traceability, software quality, effort and cost estimation, bug prediction and bug fixing. Objective: To design a framework that automates the process of synchronizing and filling the gaps of the development logs and bug issue data for open source software projects. Method: We instantiate the framework with a sample of OSS projects from GitHub, and by parsing, linking and filling the gaps found in their bug issue data, and development logs. UML diagrams show the relevant modules that will be used to merge, link and connect the bug issue data with the development data. Results: Analysing a sample of over 300 OSS projects we observed that around 1/2 of bug-related data is present in either development logs or issue tracker logs: the rest of the data is missing from one or the other source. We designed an automated approach that fills the gaps of either source by making use of the available data, and we successfully mapped all the missing data of the analysed projects, when using one heuristics of annotating bugs. Other heuristics need to be investigated and implemented. Conclusion: In this paper a framework to synchronise the development logs and bug data used in empirical software engineering was designed to automatically fill the missing parts of development logs and bugs of issue data

Audit of Referral Pattern of Cancer Cases to the Radiotherapy and Oncology Unit of a Tertiary Hospital in Nigeria

Objectives: This study assessed the types of cancer cases referred to Radiotherapy and oncology unit of Ahmadu Bello University Teaching Hospital (ABUTH) Zaria, and determine the age, sex, and geopolitical zones distributions of cancer cases in ABUTH, Zaria.Methods: A retrospective study was conducted reviewing all cancer cases referred to the centre, for a period of 10 years (2004 – 2013). Ethical approval was obtained from the ethical committee of the hospital. Data capture sheet was used to collect information from the patient’s folder and this was analysed using statistical package for social sciences version 20.0Results: Three thousand nine hundred and thirty four (3934) patient’s records were reviewed. Patient’s age ranged from 0 -110 years, with a mean age of 42.4 years. Patients within the age range of 31 to 60 years had the highest cancer incidence. A total of 37 types of cancer were diagnosed with cervical cancer having the highest incidence of 1083 (27.5%). This was followed by head and neck 821 (20.9%). Intestinal cancer had the least incidence of 1 (0.02%). Female cancer cases predominated with a female to male ratio of 1.8:1. North-western Nigeria had the highest cancer incidence of 1656 (42.1%). Conclusion: This study found high incidence of cancer cases among adults age ranged 31 to 60 years with female to male ratio of 1.8:1. Cervical cancer had the highest incidence among the 37 cancer spectrum treated at the centre. The North-western Nigeria had the highest incidence of cancer cases

Countries experiences: review of district health management in developing and low developing countries

A strong healthcare system is characterized by efficient health service delivery, adequate manpower and resource generation, a sustainable financing system and good governance. District healthcare system is the one closest to the people and its performance in relation to resource allocation impacts directly on the community health status. Over the years, many of the developed nations have learned to prioritize it mainly because it remains the most ideal way of improving population health through activities of general health promotion, disease prevention and provision of basic medical care. In the developing countries, achievement of district health system is not uniform and even among countries with comparable income per capita, wide variations exist. While some have attained a commendable population health status by strengthening their district healthcare systems by redoubling government’s commitment, enhancing resource production, encouraging fairness in healthcare financing and adopting development-oriented health policies, many others are facing healthcare challenges from lack of political will, limited resource allocation and shortage of both manpower and service infrastructure. For these countries, there is an urgent need to transform the district health system so that new and existing health problems can be dealt with decisively and more efficiently. This will require a renewed commitment from the state governments, reprioritizing and readjustment of present health programs, an inter-sectorial collaboration that involves all relevant stakeholders including the communities, and a renewed investment in sustainable health policies that deliver maximum impact at minimal cost

Distribution and abundance of freshwater snails in Warwade Dam, Dutse, Northern Nigeria

Preliminary investigation in August, 2017 reported the presence of Lymnaea natalensis, Bellamya unicolor, Melanoides tuberculata and Bulinus globosus in order of increasing abundance and distribution in Warwade dam, Dutse, Jigawa State, Nigeria. A follow up study was carried out from April to October, 2019 to reveal further details on the abundance and distribution of freshwater snails in relation to some physiochemical factors of the dam. Four sampling sites; human activity, vegetation cover, lentic and lotic were selected for the study along the bank of the dam. Freshwater snails were collected using long handled scoop net with mesh 0.2mm complemented by hand picking methods in the four sampling sites. Water samples from the sampling sites were analyzed in the laboratory using standard procedures. A total of 2,027 of freshwater snails belonging to ten species were identified. Bulinus globosus 12(0.6%) and Lymnaea natalensis 12(0.6%) had the lowest abundance and distribution while Melanoides tuberculata 1553(76.6%) had the highest. Snail abundance was highest in site characterized by human activities (670) followed by vegetation (482), lotic (442) and lentic (433) waters. Most of the physico-chemical factors measured appeared to favour the growth and survival of fresh water snails. pH (p = 0.01), water current (p = <0.01) and magnesium ion concentration (p = < 0.01) varied significantly across the four sites. Only calcium ion concentration was significantly associated with snail abundance (p = 0.04). Snail abundance showed weak positive relationship with water temperature, color, turbidity and concentration of magnesium ion. The dam habours about ten species of freshwater snails in different abundance and distribution with M. tuberculata being the most abundant throughout the period of investigation. The dominance of M. tuberculata over other species particularly those of medical and veterinary importance could have positive implication for their control in the dam

Therapeutic efficacy of β-sitosterol treatment on Trypanosoma congolense infection, anemia development, and trans-sialidase (TconTS1) gene expression

BackgroundAfrican animal trypanosomiasis hinders sustainable livestock productivity in sub-Saharan Africa. About 17 million infected cattle are treated with trypanocides annually but most of the drugs are associated with drawbacks, necessitating the search for a promising chemotherapeutic agent.ObjectivesIn this study, the effects of β-sitosterol on Trypanosoma congolense infection were investigated along with its effect on the trans-sialidase gene expressions.ResultsOral treatment with β-sitosterol at 15 and 30 mg/kg body weight (BW) for 14 days significantly (p < 0.05) reduced parasitemia and ameliorated the parasite-induced anemia. Also, the parasite-induced increase in serum urea level and renal histopathological damage scores in addition to renal hypertrophy was significantly (p < 0.05) reverted following treatment with 30 mg/kg BW β-sitosterol. The compound also significantly (p < 0.05) down-regulated the expression of TconTS1 but not TconTS2, TconTS3, and TconTS4. Correlation analysis between free serum sialic acid with the TconTS1 and TconTS2 gene variants revealed negative correlations in the β-sitosterol-treated groups although they were non-significant (p > 0.05) in the group treated with 15 mg/kg BW β-sitosterol. Similarly, a non-significant negative (p > 0.05) correlation between the biomolecule and the TconTS3 and TconTS4 gene variants was observed in the β-sitosterol-treated groups while positive correlations were observed in the infected untreated control group.ConclusionThe observed effect of β-sitosterol on T. congolense infection could make the compound a possible template for the design of novel trypanocides