Question Answering on Linked Data: Challenges and Future Directions

Question Answering (QA) systems are becoming the inspiring model for the future of search engines. While recently, underlying datasets for QA systems have been promoted from unstructured datasets to structured datasets with highly semantic-enriched metadata, but still question answering systems involve serious challenges which cause to be far beyond desired expectations. In this paper, we raise the challenges for building a Question Answering (QA) system especially with the focus of employing structured data (i.e. knowledge graph). This paper provide an exhaustive insight of the known challenges, so far. Thus, it helps researchers to easily spot open rooms for the future research agenda.Comment: Submitted to Question Answering And Activity Analysis in Participatory Sites (Q4APS) 201

Etiologic Agents of Bacterial Sepsis and Their Antibiotic Susceptibility Patterns among Patients Living with Human Immunodeficiency Virus at Gondar University Teaching Hospital, Northwest Ethiopia

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.Background. Bacterial sepsis is amajor cause of illness in human immunodeficiency virus infected patients. There is scarce evidence about sepsis among HIV patients in Ethiopia. This study aimed to determine the etiologic agents of bacterial sepsis and their antibiotic susceptibility patterns among HIV infected patients. Methods. A cross-sectional study was carried out from March 1 to May 2, 2013. One hundred patients infected with HIV and suspected of having sepsis were included. Sociodemographic data were collected by interview and blood sample was aseptically collected from study participants. All blood cultures were incubated aerobically at 35∘C and inspected daily for 7 days.The positive blood cultures were identified following the standard procedures and antimicrobial susceptibility testing was performed using disk diffusion technique. Data was entered by Epi-info version 3.5.1 and analysis was done using SPSS version 20. Results. Of the study participants, 31 (31%) confirmed bacterial sepsis.The major isolates were 13 (13%) Staphylococcus aureus, 8 (8%) coagulates negative staphylococci, and 3 (3%) viridans streptococci. Majority of the isolates, 25 (80.6%), were multidrug resistant to two or more antimicrobial agents. Conclusions. Bacterial sepsis was a major cause of admission for HIV infected patients predominated by Staphylococcus aureus and coagulase negative staphylococci species and most of the isolates were multidrug resistant

Detection of KRAS, NRAS and BRAF by mass spectrometry - a sensitive, reliable, fast and cost-effective technique

Background: According to current clinical guidelines mutational analysis for KRAS and NRAS is recommended prior to EGFR-directed therapy of colorectal cancer (CRC) in the metastatic setting. Therefore, reliable, fast, sensitive and cost-effective methods for routine tissue based molecular diagnostics are required that allow the assessment of the CRC mutational status in a high throughput fashion. Methods: We have developed a custom designed assay for routine mass-spectrometric (MS) (MassARRAY®, Agena Bioscience) analysis to test the presence/absence of 18 KRAS, 14 NRAS and 4 BRAF mutations. We have applied this assay to 93 samples from patients with CRC and have compared the results with Sanger sequencing and a chip hybridization assay (KRAS LCD-array Kit, Chipron). In cases with discordant results, next-generation sequencing (NGS) was performed. Results: MS detected a KRAS mutation in 46/93 (49 %), a NRAS mutation in 2/93 (2 %) and a BRAF mutation in 1/93 (1 %) of the cases. MS results were in agreement with results obtained by combination of the two other methods in 92 (99 %) of 93 cases. In 1/93 (1 %) of the cases a G12V mutation has been detected by Sanger sequencing and MS, but not by the chip assay. In this case, NGS has confirmed the G12V mutation in KRAS. Conclusions: Mutational analysis by MS is a reliable method for routine diagnostic use, which can be easily extended for testing of additional mutations

Understanding the process of adaptation to climate change by small-holder farmers: The case of east Hararghe Zone, Ethiopia

This study examined smallholder farmers' level of perception about climate change, source of information on climate change, types of adaptation strategies, factors influencing adaptation choices and barriers to adaptation in Eastern Hararghe Zone, Ethiopia. The surveyed farm households in the study area perceived at least one aspect of climate change primarily through their life experience. Planting trees is the major adaptation measure and 89.1 percent of the farmers took this adaptation strategy. Most farmers (96 percent) believe that deforestation is the main cause of climate change and the choice of farmers to plant trees as an adaptation strategy may be partly a mitigation strategy. However, the majority (49.6 percent) of the households employed at least one adaptation response on top of tree planting. The other adaptation strategies include: early planting, terracing, irrigation and water harvesting. The main source of information for these adaptation strategies for 58.4 percent of the respondents is from extension advice. Results of a multinomial logit model showed that non-farm income, farmer- to-farmer extension, access to credit, distance to selling markets, distance to purchasing markets, and income affect the choice of adaptation strategies. Finally, the study identified lack of information as the most important barrier to climate change adaptation. The other barriers include: lack of farm inputs, shortage of land, lack of money, lack of water and shortage of labor

Isolation and characterization of multiple drug resistance bacterial pathogens from waste water in hospital and non-hospital environments, Northwest Ethiopia

BACKGROUND: The importance of bacterial isolates from waste water environment as a reservoir of antibiotic resistance and a potential source of novel resistance genes to clinical pathogens is underestimated. This study is aimed at to isolate and characterize public health important bacteria from waste water in hospital and non- hospital environments and evaluate the distribution of multiple drug resistance bacteria in the study area. METHODS: A cross-sectional study was conducted at Gondar from January-June 2012. The hospital waste water was taken from different sections of the Gondar University Teaching Hospital. Non- hospital environment samples were taken at different sites of the university campuses, Gondar College of Teachers education, and soft drink factory in Gondar. Samples were aseptically collected, transported and processed with in two hours following standard procedure. Identified organisms were assessed for different antibiotics following Kirby-Bauer disk diffusion method. All data was registered and entered in to SPSS version 16 computer program. P-values less than 0.05 were taken as statistically significant. RESULT: A total of 60 waste water samples were processed for the presence of drug resistance pathogens. Among the total samples 113 bacterial isolates were recovered and of these 65 (57.5%) were from hospital environment and 48 (42.5%) were from non-hospital environment. The most frequently identified bacterium was Klebsiella spp. 30 (26.6%) followed by Pseudomonas spp. 19(16.8%), E. coli (11.5%) and Citrobacter spp (11.5%), and Staphylococcus aureus (8.2%). The over all prevalence of multiple drug resistance (MDR) in this study was 79/113 (69.9%). MDR in hospital environment was found to be 53/68 (81.5%) while in non hospital environment was found to be 26/48 (54.2%). CONCLUSIONS: Multiple drug resistance to the commonly used antibiotics is high in the study area. The contamination of waste water by antibiotics or other pollutants lead to the rise of resistance due to selection pressure. The presence of antibiotic resistance organisms in this waste water should not be overlooked. Since this organisms may be vital to the safety and well-being of patients who are hospitalized and individual susceptible to infection. Therefore, proper waste water treatment plant should be established and improved sanitary measure should be practice

Ioncopy: an R Shiny app to call copy number alterations in targeted NGS data

Background: Somatic copy number alterations (CNAs) contribute to the clinically targetable aberrations in the tumor genome. For both routine diagnostics and biomarkers research, CNA analysis in a single assay together with somatic mutations is highly desirable. Results: Ioncopy is a validated method and easy-to-use software for CNA calling from targeted NGS data. Copy number and significance of CNA are estimated for each gene in each sample. Copy number gains and losses are called after multiple testing corrections controlling FWER or FDR. Conclusions: Ioncopy facilitates calling of CNAs in a cohort of tumors tissues with or without using normal (germline) DNA controls

Engineering and Design Best Practices in New Product Development: an Empirical Research

Nowadays companies are subject to pressuring and challenging calls for innovation. New Product Development (NPD) becomes a crucial function for competitiveness, survival and prosperity. In order to deliver products successfully, companies can choose between a vast amount of best practices to apply in their innovation processes. This paper proposes a classification framework of prevalent NPD best practices obtained through literature investigation and focus groups with experts. Moreover, this study presents a research conducted in 2012 and 2013 across 103 companies based in Italy, with the aim to understand the level of implementation of the proposed framework of NPD best practices. Finally, starting from the analysis of the collected data, the paper contributes to the ongoing debate about the contingency of best practices: since one size doesn’t fit all, is it correct to talk about best practices in general or should we start considering them context dependent? Data demonstrates that moving research towards this direction makes definitely sense

The impacts of Triple-A supply chain on supply chain performance in Ethiopian textile share company

Purpose: This work aimed to investigate the impact of triple-A supply chain (SC) on SC performance in Bahir Dar & Kombolcha textile Share Company, Ethiopia. Research Methodology: The study used survey questionnaires as a data collection instrument. Statistical package for social science to purify measurement items & Partial least square structural equation model used to test whether SC agility, SC adaptability, and SC alignment have individual or joint effects on SC performance. Results: The finding indicates that SC adaptability, SC alignment, and SC agility have a significant effect on SC performance. The result also indicates that the joint triple-A SC had a strong impact on SC performance. Limitations: The study focused on two Ethiopian textile share companies and it does not include other companies in the country. Contribution: This study allows us to understand the joint triple-A SC, SC agility, adaptability, and SC alignment-SC performance relationships at a dimensional level and helps to develop a comprehensive research model

Determination of Optimum Harvesting Age for the Existing Sugarcane Varieties at Amibara/Middle Awash Agricultural Development Enterprise, Ethiopia

A field experiment was conducted at Amibara/Middle Awash Agricultural Development Enterprise farm in factorial combination of two sugarcane varieties and five harvesting ages in RCBD with five replication to determine the optimum harvesting age for the existing sugarcane varieties on heavy and light soils. The combined analysis over soil types proved significant differences for all parameters considered. Significant variation was observed by main and interaction effect of harvesting age and sugarcane varieties on cane yield, sugar yield, brix percent juice , pol percent and recoverable sugar on both light and heavy soils. The maximum sugar yield ton ha-1 month-1 (1.49) and  (1.60) were obtained from the variety B52298 at the harvesting age of 14 months on both light and heavy soils, respectively. since no significant variation is observed among the 14 and 15 months of  harvesting ages and attractive benefit cost ration was observed on light soils there is a possibility of harvesting both B52298 and Nco334 varieties at the age of 14 and 15 months while on heavy soils, there is a tendency to harvest at the range of 14 to 16 months for the variety B52298 and at 15 and 16 months for the variety Nco334 at Amibara situation. Keywords: harvesting age, sugarcane varieties and soil type