Supplemental Material: Ordovician–Silurian back-arc silicic magmatism in the southernmost Appalachians

Sample Preparation and Geochemical Analysis Methodology; Table S1: Major oxide percentages for metaigneous rocks of the Wedowee-Emuckfaw-Dahlonega basin; Table S2: Measured isotope ratios and normalized U-Pb ages calculated without 204Pb Correction; Table S3: Lu-Hf isotope analyses; Table S4: Latitude-longitude (WGS84), geologic unit, and age information for samples analyzed as part of this project.

Supplemental Material: Ordovician–Silurian back-arc silicic magmatism in the southernmost Appalachians

Sample Preparation and Geochemical Analysis Methodology; Table S1: Major oxide percentages for metaigneous rocks of the Wedowee-Emuckfaw-Dahlonega basin; Table S2: Measured isotope ratios and normalized U-Pb ages calculated without 204Pb Correction; Table S3: Lu-Hf isotope analyses; Table S4: Latitude-longitude (WGS84), geologic unit, and age information for samples analyzed as part of this project.

Supplemental Material: Ordovician–Silurian back-arc silicic magmatism in the southernmost Appalachians

Sample Preparation and Geochemical Analysis Methodology; Table S1: Major oxide percentages for metaigneous rocks of the Wedowee-Emuckfaw-Dahlonega basin; Table S2: Measured isotope ratios and normalized U-Pb ages calculated without 204Pb Correction; Table S3: Lu-Hf isotope analyses; Table S4: Latitude-longitude (WGS84), geologic unit, and age information for samples analyzed as part of this project.

Supplemental Material: Ordovician–Silurian back-arc silicic magmatism in the southernmost Appalachians

Sample Preparation and Geochemical Analysis Methodology; Table S1: Major oxide percentages for metaigneous rocks of the Wedowee-Emuckfaw-Dahlonega basin; Table S2: Measured isotope ratios and normalized U-Pb ages calculated without 204Pb Correction; Table S3: Lu-Hf isotope analyses; Table S4: Latitude-longitude (WGS84), geologic unit, and age information for samples analyzed as part of this project.

An Integrated Technique of Attention Improvement in Young Badminton Players (8-10 Years Old)

One of the critical aspects of athletes’ fitness for effective competitive performance is the development of special cognitive qualities, in particular attention deficits. The development and enhancement of attention is important for increasing the effectiveness of sporting activities, and above all as a tool for controlling what happens when playing sports. However, original techniques of attention improvement in children are, to date, insufficient. The age of 8-10 is known to be a sensitive period for attention development. In our opinion, these are all strong arguments for developing a comprehensive methodology for developing young badminton players’ attention. During the pedagogical experiment, standard tests were used: the application of Gorbov’s tables, ‘Pyramid-tunnel’, the application of a Correction table; pedagogical observation and mathematical processing of the results using Microsoft Office Excel 2007. The credibility of disparities was calculated against Student’s criteria at significance level р . 0.05. The main constituents of attention for being successful in badminton are the scope, capability for shifting and keeping focus. The proposed integrated technique of attention improvement in young badminton players at the age of 8-10 caused a substantial improvement of sports achievements in the test group compared to the reference group. This shows that our methodology has a positive trend in the development of attention functions and is effective for young athletes.

Error Analysis on Unindra Student’s Sentence Tenses Assignment

<p class="abstractcontent">Knowing the pattern of tenses is very important to the students, because it can help them to do a good sentence. If the students unknown the pattern of using tenses in sentences, the students are confused to make a good sentence. The teacher should try to correct their error by error analysis. Error analysis is really very important to students, because teachers know the mistaken students done in making a sentence by using in each tenses. In this study, the researcher used descriptive method which is the data was taken by student’s an assignment at the first students of UNINDRA. First, teachers asked students to make sentences based on eight tenses. They are Present Tense; Present Continuous Tense; Present Perfect Tense; Simple Future Tense; Past Tense; Past Continuous Tense; Past Continuous Tense; Past Perfect Tense; Future Perfect Tense. Second, After doing sentences in each tenses, the research done identify based on the pattern of sentences; Third, the last steps researcher analysis the assignment in make the table consist of table 1 the amount of error done; table 2 the error sentences students and correction; table 3 the reasons why sentences are difficulties to the students and easier. The results of these study 60 percentages students UNINDRA made good sentences in eight tenses; 40 percentages did not remember the pattern of tenses; 30 percentages made the error of changed verb; 30 percentages used time action to make sentence in each tenses.</p><p class="abstractcontent">Key words; Tenses, Assignment, Error, Analysis, Pattern</p>

Anthelmintic resistance to cattle gastrointestinal nematodes in selected dairy farms of Mymensingh and Sirajganj districts of Bangladesh

Correction: Table 1 and Table 2 have were omitted from the PDF in error. They were added to page 89 on 17th May 2018.Anthelmintic resistance (AR) to commonly used dewormers is one of the major world-wide constrain in livestock production. The present study was investigated the status of AR in BAU dairy farm, Mymensingh and Talukder dairy farm, Sirajganj. Faecal egg count reduction test (FECRT) was applied to assess AR in cattle of two dairy farms during January to June 2017. The anthelmintics tested were Albendazole (ABZ), a benzimidazole anthelmintic (Almex®, Square Ltd.) and Ivermectin (IVM) (Vermic®, Techno drugs Ltd.), administered at the doses recommended by the manufacturers. In each farm, cattle were divided into treatment and control (not treated) group based on faecal egg counts (FEC), that is at least 200 eggs/g. At 14 days after treatment, faecal samples were collected for post-treatment FEC, which is compared between treatment and control group. Resistance was defined if there was <95% reduction, with lower 95% confidence limit (CL) <90% in the FEC. AR was present in both the dairy farms involved in this study. The FECRT using ABZ revealed 79.7% (95% CL 87.9, 65.8) reduction and 95.8% (95% CL 98.7, 87.1) reduction of FEC in BAU and Talukder dairy farms, respectively. Also, FECRT using IVM revealed 77.9% (95% CL 97.7, 85.5) and 94.2% (95% CL 97.7, 85.5) reduction of FEC in BAU and Talukder dairy farms, respectively. Our study suggest that AR is present in both selected dairy farms and further extensive studies are required to determine the extent of AR in different cattle farms of Bangladesh.Res. Agric., Livest. Fish.5(1): 87-92, April 2018

Comparison of Vaisala radiosondes RS41 and RS92 launched over the oceans from the Arctic to the tropics

To assess the differences between the RS92 radiosonde and its improved counterpart, the Vaisala RS41-SGP radiosonde version with a pressure sensor, 36 twin-radiosonde launches were made over the Arctic Ocean, Bering Sea, western North Pacific Ocean, and the tropical Indian Ocean during two cruises of R/V Mirai in 2015. The biases, standard deviations, and root mean squares (rms's) of the differences between the RS41 and RS92 data over all flights and altitudes were smaller than the nominal combined uncertainties of the RS41, except that the rms of the differences of pressure above 100 exceeded 0.6 hPa. A comparison between daytime and nighttime flights in the tropics revealed that the pressure difference was systematically larger during the day than at night above an altitude of 4.5 km, suggesting that there was some effect of solar heating on the pressure measurements, but the exact reason is unclear. The agreement between the RS41 and RS92 temperature measurements was better than the combined uncertainties. However, there were some noteworthy discrepancies presumably caused by the wet-bulbing effect on the RS92 radiosonde and the stagnation of the balloon. Although the median of the relative humidity differences was only a little more than 2 % of the relative humidity at all altitudes, the relative humidity of the RS92 was much lower than that of the RS41 at altitudes of about 17 km in the tropics. This dry bias might have been caused by the incomplete solar radiation correction of the RS92, and a correction table for the daytime RS92 humidity was calculated. This study showed that the RS41 measurements were consistent with the specifications of the manufacturer in most cases over both the tropical and polar oceans. However, further studies on the causes of the discrepancies are needed.