Characterizing Frequency Stability Measurements having Multiple Data Gaps

Describes a method of imputing data into gaps in a time series.

Characterizing Frequency Stability Measurements having Multiple Data Gaps

Describes a method of imputing data into gaps in a time series.

Mega-Environment Analysis and Identify Stable and High-Yielding of New Promising Black Soybean Lines in Indonesia

Stable and high-yielding are the major goals of black soybean breeding. Testing new lines in a mega-environment is one of the development processes in black soybean breeding. The aims of the research were (i) to identify the effects of genotype, environment, and GEIs on the grain yield of soybean lines in Java Island; (ii) to select stable and high yielding soybean lines; and (iii) to determine the discriminative environments, and (iv) to determine the concept of stability measurements on black soybean grain yields. Field trials of 10 new F8 promising lines and three check varieties were conducted under eight different environments during four years (2016–2019). The measurement results showed that the grain yield was influenced by genotype (8.35%), environment (59.49%), and GEIs (32.16%). Grain yield stability measurements showed that the four newly lines was identified had high yields and stable in eight environments, they were A-5A-PSJ (S2), DB-96-CTY (S5), UP 161 (S6), and UP 162 (S7). The Ngawi (2017) followed by Bogor (2019) and Banyuwangi (2016) has the strongest interactive capabilities, and was suitable for used as a trial environments. Grain yield (Y) was identified as having a positive and significant correlation (p < 0.05) with S(3), S(6), NP(2), NP(3), NP(4), KR, and YSI stability measurements, which indicated that they were included in the concept of dynamic stability measurement.

Timing and conditions modify the effect of structure liming on clay soil

Two dates (early, normal) for application and incorporation of structure lime to clay soil were examined at four field sites, to test whether early liming had more favourable effects on aggregate stability. Aggregate size distribution measurements revealed a finer tilth at the early liming date (20 August) than the normal date (14 September). Aggregate stability estimated one year later, using as a proxy turbidity in leachate from 2–5 mm aggregates subjected to two simulated rainfall events, was significantly improved (11% lower turbidity) with early compared with normal liming date. Three years after structure liming, soil structural stability measurements on lysimeters (15 cm high, inner diameter 18 cm) subjected to repeated simulated rainfall events showed no significant differences in turbidity in leachate between the early and normal liming dates. However, there was a strong interaction between liming date and site indicating different reactions at different sites. Our results suggest that early spreading and incorporation can improve the success of structure liming, but only if soil conditions are favourable.

A talajok aggregátum-stabilitásának vizsgálati lehetőségei I. Makroaggregátum-stabilitás

A makroaggregátumok stabilitásának meghatározására számos mérési módszer és értékelési lehetőség létezik. Ezek önállóan eredményesen alkalmazhatók az aggregátumok stabilitásának vizsgálatára (valamilyen romboló hatást megpróbálnak szimulálni, valamilyen körülményt megpróbálnak standardizálni stb.), ám ezek a módszerek egymással nehezen összevethetők. Az évek során jogosan merült fel a szabványosítás igénye, ám a kialakult nemzetközi szabvány módszertana igen bonyolult, éppen ezért csak kevesen kívánják azt alkalmazni. Hasonló a helyzet a különféle stabilitási mutatók esetében is: sokféle mutató használatos, ezek különkülön jól jellemezhetik a talajok aggregátum-stabilitását, de a mutatók párhuzamos használata több esetben eltérő stabilitási sorrendet eredményez a különféle talajoknál. Megfelelő megoldás lehetne, ha definiálni tudnánk, hogy mely módszer és mely mutató pontosan mit is fejez ki és mikor, milyen probléma vizsgálatakor, mely mutatót és mely módszert kívánatos alkalmazni. Kutatásainkat a továbbiakban ilyen irányban is folytatni kívánjuk.There are several measurement and evaluation methods for determining the stability of macro-aggregates. These can be used effectively independently to test the stability of aggregates (attempting to simulate some destructive effect, attempting to standardise some condition, etc.), but they are difficult to compare to each other. Over the years, the need for standardization has rightly arisen, but the standard method developed is very complicated, which is why few people want to apply it.Similarly, many different indicators are used, each of which can give a good characterisation of the aggregate stability of soils, but the parallel use of indicators often results in different stability rankings for different soils. An appropriate solution should be defined which method and which indicator expresses what exactly and when, and which indicator and which method should be used for which problem. We intend to continue our research in this direction.In this manuscript we summarized the main macro-aggregate stability measurements and indices, reviewed the international and Hungarian scientific literature.

Evaluation of SLAKES, a smartphone application for quantifying aggregate stability, in soils with contrasting managements

&lt;p&gt;The measurement of aggregate stability is an important indicator of soil quality and is widely used for monitoring soil condition. The SLAKES mobile app is an alternative tool to laboratory-based methods to measure soil aggregate stability. It provides aggregate stability measurements through Slaking Index (SI) with SI close to 0 suggesting high stability and values above 7 suggesting minimum stability. As the duration of this low-cost experiment is only 10 minutes, SLAKES is very attractive for scientists and no-scientists. SLAKES was implemented in Australia and has proven its efficiency in several studies.&lt;/p&gt;&lt;p&gt;This study was conducted to determine whether the SLAKES mobile app could be adapted to French soils and then could be an alternative to the Mean Weight Diameter (MWD) method, normalized in France (ISO 10390). More specifically, the three main objectives were: (i) determining whether the aggregate stability measurements depend on the phones used for the experiment, (ii) estimating the number of measurements necessary to get reliable results, (iii) determining whether the app has the ability to detect the effect of contrasting soil managements previously shown using the MWD method.&lt;/p&gt;&lt;p&gt;The study was performed on silty loam soils from EFELE (Effluents d&amp;#8217;Elevage et Environnement) experimental site at le Rheu (Brittany, France) which is part of the French &amp;#8220;Organic Residues&amp;#8221; research observatory (SOERE PRO). The experimental design combines two different tillage practices (conventional tillage and shallow tillage) with two fertilizer treatments (mineral and organic (cattle manure)) randomly replicated three times. Soil samples were collected in March 2017 at both 0-15 cm and 15-25 cm depth from the 12 plots.&amp;#160;&lt;/p&gt;&lt;p&gt;The SI was measured on three aggregates simultaneously and this measurement was repeated 15 times for each sample which provided 45 SI per sample. Outliers above SI=11 were removed before statistical treatments. Four different phones of the same brand and generation were used to measure SI.&lt;/p&gt;&lt;p&gt;An analysis of variance showed that the effect of the smartphone on SI measurements was not significant (p-value = 0.73, 0.88, 0.067 for 3 different samples).&amp;#160;The SLAKES results showed comparable significant separation of means (p &lt; 0.0001) between each soil management than the MWD method. According to the results of an analysis of variance, SI was significantly lower in reduced tillage than in conventional tillage condition (p-value = 2.10&lt;sup&gt;-16&lt;/sup&gt;). These results indicate a higher soil stability in reduced tillage. Yet, the analysis of variance did not underline any effect of fertilization on the SI (p-value = 0.28), as previously found with the MWD method.&lt;/p&gt;&lt;p&gt;This study proved that a relatively simple mobile app can detect the effect of soil management practices on aggregate stability with a similar performance than the MWD method. This conclusion was reinforced by the existing correlation between the SI and the MWD index (p-value = 0.00059, R&lt;sup&gt;2&lt;/sup&gt; = 0.39). We recommend to perform similar experiments on other sampling campaigns or in other pedological and soil management contexts taking at least 15 measures per sample.&lt;/p&gt;

1D Perovskitoid as Absorbing Material for Stable Solar Cells

The instabilities of perovskite solar cells hinder their commercialisation. To resolve this problem, a one-dimensional (1D) perovskitoid, PyPbI3, was fabricated, and its structure and photovoltaic performance were investigated in this work. XPS and FTIR results suggest hydrogen bonds existed in the 1D hexagonal PyPbI3. Stability measurements indicate that 1D perovskitoid is much more stable than the commonly employed FA-based perovskite. In addition, solar cells adopting PyPbI3 as an absorbing layer led to a device lifetime of one month. Our results suggest that 1D perovskitoid has great potential to be employed in solar cells.