INVESTIGATION OF THE EFFECT OF WET CUPPING APPLICATION ON CERTAIN PERFORMANCE AND BLOOD PARAMETERS OF ATHLETES

The aim of this study was to investigate how wet cupping effects performance and certain blood parameters of athletes. The athletes participating in the study (n=23) were divided into control group (CG, n=11) and experimental group (EG, n=12) by using random sample method. The athletes in sample group were selected in accordance with following criteria; age average: 20,36±1,286 year, average training age: 7,45±4,132 year, average stature: 177,82±6,585 cm, average body weight: 74,09±11,476 kg. The same criteria for the athletes in experimental group (EG) (n=11) were as follows; age average: 21,17±2,290 year, average training age: 9,08±3,825 year, average stature: 179,67±8,553 cm, average body weight: 71,25±10,314 kg. Leg force, acceleration, speed, vertical jump and standing long jump values of the participants were measured along with their blood parameters such as WBC, RBC, HGB, PLT and HCT levels. In statistical analyses of the study, arithmetic mean and standard deviation values were used as descriptive statistics, and Shapiro-Wilks was made in order to analyze the normality of distributions. Independent-Sample t-Test was made to determine the difference between the groups and Paired Sample t-Test to determine the difference within each group. Significance level was taken as p<0.05. Consequently, it can be said that wet cupping has a positive effect on leg force, acceleration, vertical jump and Yoyo-1 values of athlete

EFFECT OF POST ACTIVATION POTENTIAL AND PASSIVE STRETCHING MODEL WARM-UP ON JUMPING PERFORMANCE

The purpose of this study was to investigate the effect of different warm-up protocols (post activation potential model warm-up (PAP) and static stretching model warm-up) on jumping performance in male athletes. Forty-five male athletes (Age: 22.22±1.83 yrs; Height: 175.97±5.93 cm; Weight: 76.98±11.42 kg) volunteered to participate in this investigation. The athletes who participated in this study were randomly divided into three groups; Post activation potential group (PAPG) (n=14), static stretching group (SG) (n=14) and control group (CG) (n=17). Initial measurement values of jumping test for all athletes was made followed by 5 minutes passive rest after 5 minutes warm-up at 8 km/h on a treadmill. The second measurements of the athletes were performed 48 hours after the first measurements. In analyzing the data, a two-way repeated measure analysis of variance (ANOVA) was conducted. The results indicated that significant group x time interactions were observed for jumping test scores in the athletes subjected to different warm-up protocols. As a result; post activation potential warm-up method leads to an acute increase in squat jump and 10 reps repetitive vertical jumping height (p<0.05), while static warm-up method causes a significant decrease (p<0.05)

Reduced graphene oxide (rGO) as highly effective material for the ultrasound assisted boric acid extraction from ulexite ore

In this study, an investigation of the optimum conditions to extract boric acid from ulexite mineral was examined for the first time to explore the boric acid extraction yield by employing a new extraction process, ultrasound-assisted extraction (UAE) by the help of reduced graphene oxide (rGO). Moreover, the influence of rGO has been investigated on the extraction of boric acid from ulexite mineral. Besides, the amount of extraction of boric acid from ulexite depends on reaction conditions. For this reason, the impacts of various solvent/solid ratio, pH, extraction time, and extraction temperature on the yield were investigated by the conductometric method. Experiments with rGO were carried out using one-factor-at-a-time methodology. Several experimental situations (with or without rGO) were used in order to compare the boric acid yield. It was explored that the amount of the boric acid extraction was increased importantly in the presence of rGO. Also, thermo-gravimetric assay (TG-DTA), X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FTIR) analyses were utilized for the characterization of materials. Under optimum conditions, the yield was calculated as about 93–94% by the help of rGO, which is a greater value than the yields reported in the literature. © 2016 Institution of Chemical Engineers2014-05We thank to the personnel of the Mining Engineering Department of Dokuz Eylul University (Turkey) for their help in material grinding and sizing, mineral processing and enrichment. We also would like to acknowledge to UBAP ( 2013/MF 004 ) and DPU-BAP ( 2014-05 ) project for the financial support. Appendix

NFDI4Ing - the National Research Data Infrastructure for Engineering Sciences

NFDI4Ing brings together the engineering communities and fosters the management of engineering research data. The consortium represents engineers from all walks of the profession. It offers a unique method-oriented and user-centred approach in order to make engineering research data FAIR &ndash; findable, accessible, interoperable, and re-usable. NFDI4Ing has been founded in 2017. The consortium has actively engaged engineers across all five engineering research areas of the DFG classification. Leading figures have teamed up with experienced infrastructure providers. As one important step, NFDI4Ing has taken on the task of structuring the wealth of concrete needs in research data management. A broad consensus on typical methods and workflows in engineering research has been established: The archetypes. So far, seven archetypes are harmonising the methodological needs: Alex: bespoke experiments with high variability of setups, Betty: engineering research software, Caden: provenance tracking of physical samples & data samples, Doris: high performance measurement & computation, Ellen: extensive and heterogeneous data requirements, Frank: many participants & simultaneous devices, Golo: field data & distributed systems. A survey of the entire engineering research landscape in Germany confirms that the concept of engineering archetypes has been very well received. 95% of the research groups identify themselves with at least one of the NFDI4Ing archetypes. NFDI4Ing plans to further coordinate its engagement along the gateways provided by the DFG classification of engineering research areas. Consequently, NFDI4Ing will support five community clusters. In addition, an overarching task area will provide seven base services to be accessed by both the community clusters and the archetype task areas. Base services address quality assurance & metrics, research software development, terminologies & metadata, repositories & storage, data security & sovereignty, training, and data & knowledge discovery. With the archetype approach, NFDI4Ing&rsquo;s work programme is modular and distinctly method-oriented. With the community clusters and base services, NFDI4Ing&rsquo;s work programme remains firmly user-centred and highly integrated. NFDI4Ing has set in place an internal organisational structure that ensures viability, operational efficiency, and openness to new partners during the course of the consortium&rsquo;s development. NFDI4Ing&rsquo;s management team brings in the experience from two applicant institutions and from two years of actively engaging with the engineering communities. Eleven applicant institutions and over fifty participants have committed to carrying out NFDI4Ing&rsquo;s work programme. Moreover, NFDI4Ing&rsquo;s connectedness with consortia from nearby disciplinary fields is strong. Collaboration on cross-cutting topics is well prepared and foreseen. As a result, NFDI4Ing is ready to join the National Research Data Infrastructure.</p