Improving the quality of agricultural products depends largely on production process. In the absence of data on farmers’ practices and the average quality of cashew nuts in C<span style="white-space:nowrap;&q...Improving the quality of agricultural products depends largely on production process. In the absence of data on farmers’ practices and the average quality of cashew nuts in C<span style="white-space:nowrap;">ô</span>te d’Ivoire, the present study aimed to provide a detailed description of the cashew nut production process. Thus, a survey was carried out in the zones of Mankono, Dabakala and Bondoukou among 386 cashew producers selected at random and interviewed using the face-to-face technique. The results revealed that intercropping was practiced in cashew cultivation (42% - 62% of the producers), modern cultivation technique (72% - 98% of the producers) but with rare use of selected seeds (8% - 20% of the producers), labour/ha during nut harvesting (2.6 - 12 workers/ha). Concerning the harvesting process, the time taken to pick the nuts varies from 1 to 14 days;the use of pesticides during harvesting (14% to 97% of the producers) and the absence of sorting of the nuts in 42% of the Mankono producers justify the probable conservation of defective and immature nuts in their production. For drying, the main dryers were the slatted table, the cemented surface and the tarpaulin, but other dryers were found such as the mosquito net, the propylene rice bag, the fertiliser bag and the black bag. Generally, the drying time of cashew nuts was very short: 2 days (43% - 77% of the producers interviewed) but surprisingly 1 day (7% - 27% of the producers interviewed). For Mankono, the use of chemicals was permanent during all stages of the cashew production process. Overall, the results suggest the need to assess the real impact of farmers’ practices on the quality of cashew nuts from C<span style="white-space:nowrap;">ô</span>te d’Ivoire.展开更多
<span style="font-family:Verdana;">The advent of technology has opened unprecedented opportunities in health care delivery system as the demand for intelligent and knowledge-based systems has increased...<span style="font-family:Verdana;">The advent of technology has opened unprecedented opportunities in health care delivery system as the demand for intelligent and knowledge-based systems has increased as modern medical practices become more knowledge-intensive. As a result of this, there is greater need to investigate the pervasiveness of software faults in Safety critical medical systems for proper diagnosis. The sheer volume of code in these systems creates significant concerns about the quality of the software. The rate of untimely deaths nowadays is alarming partly due to the medical device used to carry out the diagnosis process. A safety-critical medical (SCM) system is a complex system in which the malfunctioning of software could result in death, injury of the patient or damage to the environment. The malfunctioning of the software could be as a result of the inadequacy in software testing due to test suit problem or oracle problem. Testing a SCM system poses great challenges to software testers. One of these challenges is the need to generate a limited number of test cases of a given regression test suite in a manner that does not compromise its defect detection ability. This paper presents a novel five-stage fault-based testing procedure for SCM, a model-based approach to generate test cases for differential diagnosis of Tuberculosis. We used Prime Path Coverage and Edge-Pair Coverage as coverage criteria to ensure maximum coverage to identify feasible paths. We analyzed the proposed testing procedure with the help of three metrics consisting of Fault Detection Density, Fault Detection Effectiveness and Mutation Adequacy Score. We evaluated the effectiveness of our testing procedure by running the suggested test cases on a sample historical data of tuberculosis patients. The experimental results show that our developed testing procedure has some advantages such as creating mutant graphs and Fuzzy Cognitive Map Engine while resolving the problem of eliminating infeasible test cases for effective decision making.</span>展开更多
Combined Empirical Orthogonal Function Analysis of low-level atmospheric circulation after filtering the synoptic scale was performed for the period 1981-2006 over Central and Southern South America. Modes with 40 and...Combined Empirical Orthogonal Function Analysis of low-level atmospheric circulation after filtering the synoptic scale was performed for the period 1981-2006 over Central and Southern South America. Modes with 40 and near 70 days frequency associated with swings in longitude of the South Pacific and South Atlantic Ocean heights were identified. Their extreme values were related to drought and to high anomalous precipitation associated to floods in South East South America (SESA). These modes were independent of other sources of variability of the Southern Hemisphere atmosphere, namely MJO (Madden-Julian Oscillation), ENSO (El Nino Southern Oscillation) and AAO (Antarctic Oscillation). Mode one, which in its positive phase has a circulation similar to the mean winter, has a trend that explains part of the winter warming observed since 1980’s in Central and Eastern Argentina. Variance was calculated for the intra-annual variability, the one associated to the inter-annual variability including trends and jumps, and that of the annual cycle. The partition of the total variance was roughly 70%, 10% and 20% respectively. This partition implies that predictability of the regional climate is more critically dependent on the predictability of the intra-annual variability than of the inter-annual variability.展开更多
We search for the ψ（4S）state in the B±→ηJ/ψK± and e＋e-→η/Jψ processes based on the Belle measurements with the assumed mass M =（4230±8）MeV/C2 and width Г=（38±12）MeV. No significant s...We search for the ψ（4S）state in the B±→ηJ/ψK± and e＋e-→η/Jψ processes based on the Belle measurements with the assumed mass M =（4230±8）MeV/C2 and width Г=（38±12）MeV. No significant signal is observed in the in mass spectra. The 90% confidence level upper limit on the product branching fraction B（B±→（4S）→e＋e-to be 0.63 keV,a branching fraction limit B（ψ（4S）→ηJ/ψ）〈1.3% is obtained at the 90% confidence level in e＋e-→η/Jψ,which is consistent with the theoretical prediction.展开更多
文摘Improving the quality of agricultural products depends largely on production process. In the absence of data on farmers’ practices and the average quality of cashew nuts in C<span style="white-space:nowrap;">ô</span>te d’Ivoire, the present study aimed to provide a detailed description of the cashew nut production process. Thus, a survey was carried out in the zones of Mankono, Dabakala and Bondoukou among 386 cashew producers selected at random and interviewed using the face-to-face technique. The results revealed that intercropping was practiced in cashew cultivation (42% - 62% of the producers), modern cultivation technique (72% - 98% of the producers) but with rare use of selected seeds (8% - 20% of the producers), labour/ha during nut harvesting (2.6 - 12 workers/ha). Concerning the harvesting process, the time taken to pick the nuts varies from 1 to 14 days;the use of pesticides during harvesting (14% to 97% of the producers) and the absence of sorting of the nuts in 42% of the Mankono producers justify the probable conservation of defective and immature nuts in their production. For drying, the main dryers were the slatted table, the cemented surface and the tarpaulin, but other dryers were found such as the mosquito net, the propylene rice bag, the fertiliser bag and the black bag. Generally, the drying time of cashew nuts was very short: 2 days (43% - 77% of the producers interviewed) but surprisingly 1 day (7% - 27% of the producers interviewed). For Mankono, the use of chemicals was permanent during all stages of the cashew production process. Overall, the results suggest the need to assess the real impact of farmers’ practices on the quality of cashew nuts from C<span style="white-space:nowrap;">ô</span>te d’Ivoire.
文摘<span style="font-family:Verdana;">The advent of technology has opened unprecedented opportunities in health care delivery system as the demand for intelligent and knowledge-based systems has increased as modern medical practices become more knowledge-intensive. As a result of this, there is greater need to investigate the pervasiveness of software faults in Safety critical medical systems for proper diagnosis. The sheer volume of code in these systems creates significant concerns about the quality of the software. The rate of untimely deaths nowadays is alarming partly due to the medical device used to carry out the diagnosis process. A safety-critical medical (SCM) system is a complex system in which the malfunctioning of software could result in death, injury of the patient or damage to the environment. The malfunctioning of the software could be as a result of the inadequacy in software testing due to test suit problem or oracle problem. Testing a SCM system poses great challenges to software testers. One of these challenges is the need to generate a limited number of test cases of a given regression test suite in a manner that does not compromise its defect detection ability. This paper presents a novel five-stage fault-based testing procedure for SCM, a model-based approach to generate test cases for differential diagnosis of Tuberculosis. We used Prime Path Coverage and Edge-Pair Coverage as coverage criteria to ensure maximum coverage to identify feasible paths. We analyzed the proposed testing procedure with the help of three metrics consisting of Fault Detection Density, Fault Detection Effectiveness and Mutation Adequacy Score. We evaluated the effectiveness of our testing procedure by running the suggested test cases on a sample historical data of tuberculosis patients. The experimental results show that our developed testing procedure has some advantages such as creating mutant graphs and Fuzzy Cognitive Map Engine while resolving the problem of eliminating infeasible test cases for effective decision making.</span>
文摘Combined Empirical Orthogonal Function Analysis of low-level atmospheric circulation after filtering the synoptic scale was performed for the period 1981-2006 over Central and Southern South America. Modes with 40 and near 70 days frequency associated with swings in longitude of the South Pacific and South Atlantic Ocean heights were identified. Their extreme values were related to drought and to high anomalous precipitation associated to floods in South East South America (SESA). These modes were independent of other sources of variability of the Southern Hemisphere atmosphere, namely MJO (Madden-Julian Oscillation), ENSO (El Nino Southern Oscillation) and AAO (Antarctic Oscillation). Mode one, which in its positive phase has a circulation similar to the mean winter, has a trend that explains part of the winter warming observed since 1980’s in Central and Eastern Argentina. Variance was calculated for the intra-annual variability, the one associated to the inter-annual variability including trends and jumps, and that of the annual cycle. The partition of the total variance was roughly 70%, 10% and 20% respectively. This partition implies that predictability of the regional climate is more critically dependent on the predictability of the intra-annual variability than of the inter-annual variability.
基金Supported by Fundamental Research Funds for the Central Universities(YWF-14-WLXY-013)National Natural Science Foundation of China(11575017)CAS Center for Excellence in Particle Physics(China)
文摘We search for the ψ（4S）state in the B±→ηJ/ψK± and e＋e-→η/Jψ processes based on the Belle measurements with the assumed mass M =（4230±8）MeV/C2 and width Г=（38±12）MeV. No significant signal is observed in the in mass spectra. The 90% confidence level upper limit on the product branching fraction B（B±→（4S）→e＋e-to be 0.63 keV,a branching fraction limit B（ψ（4S）→ηJ/ψ）〈1.3% is obtained at the 90% confidence level in e＋e-→η/Jψ,which is consistent with the theoretical prediction.
