High Cover Rate Research Articles

Valorization of Vigna radiata (l.) Wilczek. and Moringa oleifera to improve food recipes of 6-23-month-old children in northern Benin

Biodiversity valorization is one way to improve food choices and contribute to a diversified diet among households. This paper aimed to valorize Vigna radiata (l.) Wilczek. and Moringa oleifera to improve food recipes of 6-23-month-old children. Two local recipes (Zankpiti and Abobo) were formulated from these plant species. The formulation was done with Minitab software, version 18 using the mixing design. The optimized recipes were tested through a hedonic test by 62 children in three (03) communes. The nutritional densities of accepted recipes were then determined. The hedonic test showed that 83.33% and 82.69% of children respectively appreciated Abobo of mung bean with moringa leaves (AMM) and Zankpiti of mung bean (ZM). Regarding the nutritional densities, energy and vitamin A densities of the recipes were largely above the recommended standards (2.03 ± 0.02 kcal/g and 1085.18 ± 14.56 RE μg/100 kcal for ZM; 1.72 ± 0.08 kcal/g and 1028.8 ± 74.1 RE μg/100 kcal for AMM. The nutritional densities of iron, calcium and zinc did not meet the recommended standards. Regarding the cover rates of the daily children's needs, both recipes had very high cover rates in vitamin A and low levels in daily calcium requirements. ZM had covered interesting daily requirements rate up to 37.64 ± 25.56%, 15.82 ± 10.75%, 24.94 ± 16.94% and 919.43 ± 624.82% respectively for energy, zinc, iron and vitamin A while AMM recipe covered high rates up to 36.36 ± 30.73% for energy and 655.38 ± 537.07% for vitamin A. These two plant species in children's feeding can also contribute to a better coverage of children's daily requirements.

Use of Under-Vine Living Mulches to Control Noxious Weeds in Irrigated Mediterranean Vineyards.

This article assesses the use of under-vine living mulches in Mediterranean vineyards characterized by limited water resources, one of the reasons why this agronomic practice is currently unusual in these environments. The aim of the study was to test whether the use of this alternative method in Mediterranean vineyards could suppress noxious weeds without hindering optimal vineyard development. For this purpose, four native species were selected as living mulches: Festuca ovina, Pilosella officinarum, Plantago coronopus, and Plantago lanceolata. The variables measured during three years in two different experimental farms were: (a) living mulch cover, as a possible predictor of weed suppression success; (b) weed density and weed biomass, with special attention to noxious weed species; and (c) pruning weights, measured in the last year to analyze the cumulative effect of the treatments on the grapevine vegetative growth. Our results revealed that living mulches with high cover rates (average over 70%) also showed weed suppression of up to 95%, significantly controlling the occurrence of noxious weeds such as Erigeron canadensis. No significant effect of the different treatments on vine vegetative growth was found, although further studies would be necessary. Based on these findings, it can be concluded that under-vine living mulches could be an efficient and environmentally friendly method for weed control in Mediterranean vineyards where irrigation is available.

Assessing the Validity and Cover Rate of the National Swedish Hernia Register.

AimTo assess the validity and cover rate of the Swedish hernia register.Material and MethodsSince the start of the Swedish Hernia register an annual review of randomly selected hospitals has been carried out, and since 2013 in a more standardized form to allow a systematic data collection and evaluation. 10% of all clinics were randomly selected each year in a specific region of Sweden, ensuring a systematic validation of all regions from north to south. Data from 2013 to 2018 were analyzed regarding data quality and from 2014 to 2018 regarding cover rate. All operations registered at the validated clinics were compared with the Swedish Hernia Register to assess cover rate. Fifty operations were randomly selected at each clinic and data in the Swedish Hernia register were compared with the medical records to evaluate data quality.ResultsFifty-five clinics was evaluated and a total of 73,764 variables were compared with the medical records. Cover rate between 2014 and 2018 was 97%. The proportion of correct variables was 98% between 2013 and 2018. Most frequent errors were ASA score, date at which the patient was put on the waiting list and postoperative complications.ConclusionThis unique validation of a national hernia register shows a high cover rate and good quality of data. Efforts to maintain and improve national registers are of great importance. Research with data from the Swedish hernia register should be evaluated on the basis of the results presented in this study.

O20 ASSESSING THE VALIDITY AND COVER RATE OF NATIONAL HERNIA REGISTERS

Abstract Aim To assess the validity and cover rate of the Swedish hernia register. Material and Methods Annual validation of the Swedish Hernia Register has been carried out since the start in 1992 and since 2013 in a more standardized way to allow a systematic data collection and evaluation. 10% of all participating units are randomly selected each year in a specific region of Sweden, ensuring a systematic validation of all regions from North to South. Data from 2013 to 2018 was analyzed regarding data quality and from 2014 to 2018 regarding cover rate. All operations registered at the validated clinics was checked against the Swedish Hernia Register to assess cover rate. 50 operations were randomly selected at each clinic and data in the Swedish Hernia register was compared to the medical records to evaluate data quality. Results In total 55 participating units were evaluated and 73764 variables compared to medical records. Cover rate between 2014 to 2018 was 97% and proportion of correct variables was 98%. Most frequent errors where ASA-grade, date at which the patient was put on the waiting list and postoperative complications. Conclusions This unique validation of a national hernia register show a high cover rate and good quality of data. Efforts to maintain and improve national registers are of great importance. Research with data from the Swedish hernia register should be evaluated on the basis of the results presented in this study.

Modification of Surface and Subsurface Properties of AA1050 Alloy by Shot Peening.

AA1050 Al alloy samples were shot-peened using stainless-steel shots at shot peening (SP) pressures of 0.1 and 0.5 MPa and surface cover rates of 100% and 1000% using a custom-designed SP system. The hardness of shot-peened samples was around twice that of unpeened samples. Hardness increased with peening pressure, whereas the higher cover rate did not lead to hardness improvement. Micro-crack formation and embedment of shots occurred by SP, while average surface roughness increased up to 9 µm at the higher peening pressure and cover rate, indicating surface deterioration. The areal coverage of the embedded shots ranged from 1% to 5% depending on the peening parameters, and the number and the mean size of the embedded shots increased at the higher SP pressure and cover rate. As evidenced and discussed through the surface and cross-sectional SEM images, the main deformation mechanisms during SP were schematically described as crater formation, folding, micro-crack formation, and material removal. Overall, shot-peened samples demonstrated improved mechanical properties, whereas sample surface integrity only deteriorated notably during SP at the higher pressure, suggesting that selecting optimal peening parameters is key to the safe use of SP. The implemented methodology can be used to modify similar soft alloys within confined compromises in surface features.

Effectiveness of native wood strand mulches for land rehabilitation in Iran under experimental conditions

AbstractWood‐based mulches are a preferred erosion control material for rehabilitation of degraded lands because they can be made from native wood materials; however, research is needed to verify the effectiveness of new products prior to application. The present study aims to assess the effectiveness of two types of native wood strand mulches from Iran (waste byproducts of Alnus glutinosa and Fagus orientalis working) in reducing runoff, soil loss, and sediment concentration under laboratory conditions. Toward this goal, rainfall simulations were conducted 27 times using a 50 mm hr−1 rainfall during 20‐min experiments on erosion plots with treatments of different cover percentages (bare, 30 and 70%) and strand dimensions (16 and 4 cm in length; 1.5 cm wide). The results showed that all strand applications reduced runoff (>12%), soil loss (>47%), and sediment concentration (>44%) compared to the bare plots. The most effective application treatment was a 70% coverage of the 4‐cm strands of either material (p value < .002). The shorter strands were most effective for all hydrological and erosion variables reductions because they maintained more contact with the soil surface during simulated rainfall and then increased the soil retention potential, whereas the longer strands realigned in the direction of flow, thereby limiting their ability to retard flowing water. The small strands also facilitated the creation of microdams that blocked flow and promoted infiltration. Both materials were deemed effective native erosion control products in degraded sites in the Hyrcanian forests of Iran, particularly when small strands were applied at high cover rates.

Research on improved privacy publishing algorithm based on set cover

With the invention of big data era, data releasing is becoming a hot topic in database community. Meanwhile, data privacy also raises the attention of users. As far as the privacy protection models that have been proposed, the differential privacy model is widely utilized because of its many advantages over other models. However, for the private releasing of multi-dimensional data sets, the existing algorithms are publishing data usually with low availability. The reason is that the noise in the released data is rapidly grown as the increasing of the dimensions. In view of this issue, we propose algorithms based on regular and irregular marginal tables of frequent item sets to protect privacy and promote availability. The main idea is to reduce the dimension of the data set, and to achieve differential privacy protection with Laplace noise. First, we propose a marginal table cover algorithm based on frequent items by considering the effectiveness of query cover combination, and then obtain a regular marginal table cover set with smaller size but higher data availability. Then, a differential privacy model with irregular marginal table is proposed in the application scenario with low data availability and high cover rate. Next, we obtain the approximate optimal marginal table cover algorithm by our analysis to get the query cover set which satisfies the multi-level query policy constraint. Thus, the balance between privacy protection and data availability is achieved. Finally, extensive experiments have been done on synthetic and real databases, demonstrating that the proposed method preforms better than state-of-the-art methods in most cases.

Software behaviour analysis method based on behaviour template

This paper proposes a software behaviours analysis method based on behaviour template (SABT), which according to the context of source code, builds a behaviour template to detect software malicious behaviour based on function transfer map and minimum function blocks. In the present research, many methods used state transfer diagram to build software behaviour model. Our method is based on the corresponding relationship between the functions and system call sequence, which ensures the accuracy of the malicious behaviour detection. Compared with traditional methods, such as N-gram, FSA, and Var-gram, SABT can get higher cover rate of code and detect abnormal behaviour more effectively and efficiently.

林火烟雾图像识别技术研究

森林对于人类的生存和发展有着深远的影响，但森林火灾是森林防护的最大威胁，它不仅可以毁灭森林甚至可以威胁到生命安全，因此如何对森林火灾的发生尽早作出检测和警报，已成为各国研究的重要课题，尤其是森林覆盖率高的国家。本文结合统计理论的思想，提出了基于时间序列分析的森林火灾烟雾图像识别的方法，以时间轴为标尺，对森林火灾产生的烟雾进行记录，作出烟雾扩散曲线，该曲线记录了森林火灾烟雾从无到有再到消失的全过程，将此曲线作为烟雾识别的特征。实验证明，该方法易于掌握，计算工作量小，易于应用推广。 Forest has a profound impact on human survival and development, but the forest fire is the greatest threat to forest protection, which can not only destroy forest, but also threaten life safety. Therefore how to make an early detection and alert when forest fires happen, has become the important topic of various countries’ research, especially the countries with the forest of high cover rate. According to the statistical theory of thought, forest fire smoke image recognition method is proposed based on time series analysis, which with the time axis as the ruler, records the forest fire smoke, and makes smoke diffusion curve. The curve records the whole process of forest fire smoke from beginning to the disappearance, as the smoke recognition feature. Experimental results show that this method is easy to be applied and popularized due to easy grasp and the less work in calculation.

Classification of Mobility of Cellular Phone Using Linear Classification and k-Clustering

Road traffic data is a fundamental element of intelligent traffic system. However, due to the high investment of the road sensor, the availability of the traffic data is so limited that it can’t satisfy the requirement of current situation. Using cellular phone information as road traffic data becomes an attractive alternative because of its low cost, widespread and high cover rate. Until now, there are several algorithms to process the cellular phone information and most of them present promising conclusion. However, in order to get the satisfying conclusion, nearly all of these methods depend on a high amount of sample, in which way will detract the real-time performance of the traffic regulation and control. This is we don’t want to see. In this paper, we proposed a process to collect the information of cellular phone based on the simulation of working mode of the real base station, i.e., putting an appropriate instrument on the side of the road to detect the cellular phone passing by. Using the data we got, then we proposed a method to classify the mobility of the cellular phone, which is the critical problem of the analysis of the cellular phone information. Two key attributes are the average vehicle velocity and the variance of the vehicle velocity.