Molecular Marker Linkage Map for Apple

Linkage maps for two apple clones, White Angel and Rome Beauty, were constructed using isozyme and DNA polymorphisms segregating in a population produced from a Rome Beauty × White Angel cross. The linkage map for White Angel consists of 253 markers arranged in 24 linkage groups and extends over 950 cM. The Rome Beauty map contains 156 markers on 21 linkage groups. The White Angel map was taken as the standard, and we were able to identify linkage groups in Rome Beauty homologous to 13 White Angel linkage groups. The location of several genes not segregating in the Rome Beauty × White Angel population could be determined on the basis of known linkages with segregating markers. Hence, the standard map for apple now contains about 360 markers, with most linkage groups saturated at 10-15 cM. The double pseudotestcross format of the mapping population permitted the comparison of recombination frequencies in male and female parents in certain regions of the genome where appropriate markers were available. The recombination frequencies observed for the approximately 170 cM that were comparable gave no indication that a sex-related difference in recombination rate was characteristic of appl

Accumulation of lead and zinc by plants colonizing a metal mining area in Central Iran

The Irankouh area, located in Central Iran, is a vast mountainous region with mineralized soils and several active zinc and lead mining and smelting sites. In this study plants and soils from 5 different sites in this area were collected and analyzed for Zn and Pb. Analysis of soils from different sites showed the expected high concentrations of Zn and Pb - up to 23,000 and 18,000 μg g-1 for total, 30 and 20 μg g-1 for exchangeable, 1 and 0.6 μg g-1 for water-soluble fractions, respectively. Plants collected from these sites total 67 species from 66 genera and 29 families. Most of these are annual herbs found also on non-metalliferous soils in this region. The concentrations of Zn and Pb in the leaf dry matter of plants were variable, with up to 4800 μg g-1 for Zn and 740 μg g-1 Pb in Matthiola chenopodiifolia and Pinus elderica, respectively. A significant positive correlation was detected between the concentrations of Zn and Pb in plant dry matter and those in soils. The concentrations of Zn and Pb in the leaves of most species collected were significantly higher than for other plants from non-metalliferous soils. Some accumulator plants found in this area could have potential for soil clean-up by phytoextraction

Web and mobile-based technologies for monitoring high-risk pregnancies?

Introduction High-risk pregnancy is an illness in which there are severe complications and problems that may cause fetal loss and requires continuous care. It seems that using telemedicine technology is helpful to provide wider access to prenatal care. The aim of this study was to compare the feasibility of using web-based and mobile-based technologies in caring for high-risk pregnancy. Materials and methods This was a cross-sectional study and the participants included midwives and gynaecologists who worked at teaching hospitals. The data were collected by using two five-point Likert scale questionnaires which were designed based on the literature review. The questionnaires included two main sections: demographic questions and questions related to five aspects of a feasibility study. Face and content validity of the questionnaires were confirmed by the experts and the reliability was checked by using the test-retest method. The data were analysed using descriptive and inferential statistics. Results In this study, 79 questionnaires were completed by 50 midwives (63.29) and 29 gynaecologists (36.71). Overall, midwives (p=0.001) and gynaecologists (p=0.003) believed that using mobile-based technologies was more feasible than using web-based technologies in caring for high-risk pregnancies. Conclusion It seems that planning for the future technological direction and providing mobile-based applications should be taken into account and prioritised to improve the quality of prenatal care and to increase access to healthcare services for high-risk pregnancies. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ

Health information technology, foresight and strategic decision making for Iran: A qualitative study

Given the importance of information technology in health sector, planning and identifying the prospect and a future road map is important in this area. For this purpose, applying a systematic approach to study the future of health information technology is essential. The key technology is one of the approaches used in the foresight studies and it is conducted by interviewing experts. The aim of this study was to use key technology approach to identify the most important health information technologies for Iran until 2025. This qualitative study was conducted in two phases. The first phase was related to developing a mind map of health information technologies based on the literature review and an expert panel results. In the second phase, semi-structured interviews were conducted with 13 experts to identify the key health information technologies for Iran until 2025. In the first phase, content analysis and in the second phase, framework analysis was used to analyze data. According to the results, the main themes were immediate, cheap, stable, and secure access to the maximum health records of the entire population, equitable access to resources and services of the health counter, development of knowledge management in medical and health sciences, development of governmental electronic services (backup) in health system, development of m-health, IT governance in health and development of national HIT infrastructure. In total, 19 key health information technologies were identified which were related to the main themes. The development of electronic health records, national health information network, data sharing, patient�s personal health record (PHR), m-health, clinical decision support systems and health information technology infrastructure were found to be the most important health information technologies for Iran until 2025. It seems that identifying key health information technologies can help to facilitate strategic and operational planning in this area and help to allocate resources realistically. © 2019 Iranian Research Institute for Scientific Information and Documentation. All Rights Reserved

Anaerobic co-digestion of oil refinery wastewater and chicken manure to produce biogas, and kinetic parameters determination in batch reactors

ArticleIn order to improve the anaerobic fermentation of oil refinery wastewater (ORWW) via an appropriate nutrients pool for microbial and buffer capacity growth, a study was carried out on related anaerobic co-digestion (AcoD) with a rich organic carbon source, namely chicken manure (CM). The kinetic parameters were investigated (including cumulative biogas production, bio-methane content, retention time, and soluble chemical oxygen demand stabilisation rate) of batch AcoD experiments related to six ORWW:CM-ratio treatments (5:0, 4:1, 3:2, 2:3, 1:4, and 0:5) under mesophilic conditions. The highest soluble chemical oxygen demand removal rate was obtained for the 4:1-ratio treatment. However, the highest biogas production and bio-methane contents were achieved for the 1:4-ratio treatment. When taking into consideration the highest oil refinery wastewater portion in the AcoD mixtures and the statistical test results (LSD0.05) for the kinetic parameters, it can be seen that the 4:1-ratio treatment provided the maximum biogas production levels

Future Research in Health Information Technology: A Review

INTRODUCTION: Currently, information technology is considered an important tool to improve healthcare services. To adopt the right technologies, policy makers should have adequate information about present and future advances. This study aimed to review and compare studies with a focus on the future of health information technology. METHOD: This review study was completed in 2015. The databases used were Scopus, Web of Science, ProQuest, Ovid Medline, and PubMed. Keyword searches were used to identify papers and materials published between 2000 and 2015. Initially, 407 papers were obtained, and they were reduced to 11 papers at the final stage. The selected papers were described and compared in terms of the country of origin, objective, methodology, and time horizon. RESULTS: The papers were divided into two groups: those forecasting the future of health information technology (seven papers) and those providing health information technology foresight (four papers). The results showed that papers related to forecasting the future of health information technology were mostly a literature review, and the time horizon was up to 10 years in most of these studies. In the health information technology foresight group, most of the studies used a combination of techniques, such as scenario building and Delphi methods, and had long-term objectives. CONCLUSION: To make the most of an investment and to improve planning and successful implementation of health information technology, a strategic plan for the future needs to be set. To achieve this aim, methods such as forecasting the future of health information technology and offering health information technology foresight can be applied. The forecasting method is used when the objectives are not very large, and the foresight approach is recommended when large-scale objectives are set to be achieved. In the field of health information technology, the results of foresight studies can help to establish realistic long-term expectations of the future of health information technology

Radar remote sensing for crop classification and canopy condition assessment: Ground-data documentation

A vegetation and soil-moisture experiment was conducted in order to examine the microwave emission and backscattering from vegetation canopies and soils. The data-acquisition methodology used in conjunction with the mobile radar scatterometer (MRS) systems is described and associated ground-truth data are documented. Test fields were located in the Kansas River floodplain north of Lawrence, Kansas. Ten fields each of wheat, corn, and soybeans were monitored over the greater part of their growing seasons. The tabulated data summarize measurements made by the sensor systems and represent target characteristics. Target parameters describing the vegetation and soil characteristics include plant moisture, density, height, and growth stage, as well as soil moisture and soil-bulk density. Complete listings of pertinent crop-canopy and soil measurements are given

Methylene tetrahydrofolate reductase, transforming growth factor-β1 and lymphotoxin-α genes polymorphisms and susceptibility to rheumatoid arthritis

AbstractBackgroundRheumatoid arthritis is a widely prevalent autoimmune disorder with suggested genetic predisposition.ObjectivesThe aim of this study is to detect the pattern of genetic polymorphism of methylene tetrahydrofolate reductase (MTHFR C677 T and A1298 C), transforming growth factor-β1 (TGF-β1 T869 C) and lymphotoxin-α (LT-α A252G) in patients having rheumatoid arthritis and correlate these patterns to disease activity and serum levels of tumor necrosis factor-alpha (TNF-α), B-Cell Activating Factor (BAFF), and osteopontin.MethodsA total of 194 subjects, 90 controls and 104 patients with rheumatoid arthritis were genotyped for MTHFR C677 T and A1298 C, TGF-β1 T869 C and LT-α A252G polymorphisms using a methodology based on PCR-RFLP. Also serum levels of TNF-α, osteopontin and BAFF were measured by ELISA kits.ResultsThe CT genotype and T allele of MTHFR C677 T and GG genotype and G allele of LT-α A252G are associated with the risk of RA and with higher levels of the pro-inflammatory cytokine, TNF-α in patients with rheumatoid arthritis.ConclusionOur findings suggest that there is association between MTHFR C677 T and LT-α A252G genes polymorphisms and increased risk of RA in this sample of Egyptian population

Polimorfismos dos genes metilenotetrahidrofolato redutase, fator de crescimento transformador β1 e linfotoxina‐α e susceptibilidade à artrite reumatoide

ResumoAntecedentesA artrite reumatoide é uma doença autoimune amplamente prevalente com sugerida predisposição genética.ObjetivosDetectar o padrão de polimorfismo dos genes metilenotetrahidrofolato redutase (MTHFR C677T e A1298C), fator de crescimento transformador β1 (TGF‐β1 T869C) e linfotoxina‐α (LT‐α A252G) em pacientes com artrite reumatoide e correlacionar esses padrões com a atividade da doença e os níveis séricos de fator de necrose tumoral alfa (TNF‐α), fator ativador de linfócitos B (BAFF) e osteopontina.MétodosForam genotipados 194 indivíduos – 90 controles e 104 com artrite reumatoide – à procura de polimorfismos dos genes MTHFR C677T e A1298C, TGF‐β1 T869C e LT‐α A252G com uma metodologia baseada na PCR‐RFLP. Mensuraram‐se também os níveis séricos de TNF‐α, osteopontina e BAFF com kits de Elisa.ResultadosO genótipo CT e o alelo T do MTHFR C677T e o genótipo GG e alelo G do LT‐α A252G estão associados ao risco de AR e a níveis mais elevados da citocina pró‐inflamatória TNF‐α em pacientes com artrite reumatoide.ConclusãoOs achados do presente estudo sugerem que há associação entre os polimorfismos dos genes MTHFR C677T e LT‐α A252G e um risco aumentado de AR nessa amostra da população egípcia.AbstractBackgroundRheumatoid arthritis is a widely prevalent autoimmune disorder with suggested genetic predisposition.ObjectivesThe aim of this study is to detect the pattern of genetic polymorphism of methylene tetrahydrofolate reductase (MTHFR C677T and A1298C), transforming growth factor‐β1 (TGF‐β1 T869C) and lymphotoxin‐α (LT‐α A252G) in patients having rheumatoid arthritis and correlate these patterns to disease activity and serum levels of tumor necrosis factor‐alpha (TNF‐α), B‐Cell Activating Factor (BAFF), and osteopontin.MethodsA total of 194 subjects, 90 controls and 104 patients with rheumatoid arthritis were genotyped for MTHFR C677T and A1298C, TGF‐β1 T869C and LT‐α A252G polymorphisms using a methodology based on PCR‐RFLP. Also serum levels of TNF‐α, osteopontin and BAFF were measured by ELISA kits.ResultsThe CT genotype and T allele of MTHFR C677T and GG genotype and G allele of LT‐α A252G are associated with the risk of RA and with higher levels of the pro‐inflammatory cytokine, TNF‐α in patients with rheumatoid arthritis.ConclusionOur findings suggest that there is association between MTHFR C677T and LT‐α A252G genes polymorphisms and increased risk of RA in this sample of Egyptian population

Future Research in Health Information Technology: A Review

INTRODUCTION: Currently, information technology is considered an important tool to improve healthcare services. To adopt the right technologies, policy makers should have adequate information about present and future advances. This study aimed to review and compare studies with a focus on the future of health information technology. METHOD: This review study was completed in 2015. The databases used were Scopus, Web of Science, ProQuest, Ovid Medline, and PubMed. Keyword searches were used to identify papers and materials published between 2000 and 2015. Initially, 407 papers were obtained, and they were reduced to 11 papers at the final stage. The selected papers were described and compared in terms of the country of origin, objective, methodology, and time horizon. RESULTS: The papers were divided into two groups: those forecasting the future of health information technology (seven papers) and those providing health information technology foresight (four papers). The results showed that papers related to forecasting the future of health information technology were mostly a literature review, and the time horizon was up to 10 years in most of these studies. In the health information technology foresight group, most of the studies used a combination of techniques, such as scenario building and Delphi methods, and had long-term objectives. CONCLUSION: To make the most of an investment and to improve planning and successful implementation of health information technology, a strategic plan for the future needs to be set. To achieve this aim, methods such as forecasting the future of health information technology and offering health information technology foresight can be applied. The forecasting method is used when the objectives are not very large, and the foresight approach is recommended when large-scale objectives are set to be achieved. In the field of health information technology, the results of foresight studies can help to establish realistic long-term expectations of the future of health information technology