The goal of the research was to monitor the quality of corn silage on farms in the period from 2017. to 2019th year, and to compare the quality of silage by years of research. The analysis of corn silage has been done at 20 farms in the municipality Kalesija. The following parameters of corn silage quality were determined: acidity (pH), crude protein (CP), crude fiber (SC) and moisture content (SV). The quality of corn silage varies much more in one year, by the farms, than by years of production, although the agro-climatic conditions for production were different in the years of production. The medium value of CP by years of research is in 2017 - 6.94 %, 2018 - 6.82 % and in 2019th was 6.31 %. The low level of protein indicates a bad choice of hybrids for sowing and storing silage at a later stage of corn development. The acidity (pH), the medium value by year of research is in 2017 - 3.81, in 2018 - 4.03 and in 2019 - 4.01. The acidity is in the limits of optimal values for corn silage. The medium value of SC by years of research is in 2017th 31.69 %, 2018 - 31.9 % and in 2019 - 33.99 %. The high content of cellulose is an indicator of storing corn silage in later stage of corn maturation. Moisture content, the medium value by years of the research is in 2017 - 68.48 %, 2018 - 68.75 % and in the 2019 - 68.43 %. The moisture content is within the optimum values for corn silage.

With the aim of increasing the efficiency of maintenance and fuel usage in airplanes, structural health monitoring (SHM) of critical composite structures is increasingly expected and required. The optimized usage of this concept is subject of intensive work in the framework of the EU COST Action CA18203 “Optimising Design for Inspection” (ODIN). In this context, a thorough review of a broad range of energy harvesting (EH) technologies to be potentially used as power sources for the acoustic emission and guided wave propagation sensors of the considered SHM systems, as well as for the respective data elaboration and wireless communication modules, is provided in this work. EH devices based on the usage of kinetic energy, thermal gradients, solar radiation, airflow, and other viable energy sources, proposed so far in the literature, are thus described with a critical review of the respective specific power levels, of their potential placement on airplanes, as well as the consequently necessary power management architectures. The guidelines provided for the selection of the most appropriate EH and power management technologies create the preconditions to develop a new class of autonomous sensor nodes for the in-process, non-destructive SHM of airplane components.

Freedom formula (FF) was derived very recently to assist in decision making by Heart Team in patients (Pts) with diabetes (DM) who are in need for myocardial revascularization (Percutaneous Coronary Intervention or Coronary artery bypass grafting (CABG)) due to complex ischemic Heart disease (but without left main steam disease (LM)). In external validation moderate C statistics values were obtained. To validate FF predictive value in Pts with DM and more complex patients (three vessel (3VD) and/or LM as well lower left ventricular ejection fraction (LVEF)) than in FREEDOM population. From our prospective data base of 2455 consecutive pts who had the first isolated CABG in the period 01/2012–12/2014 with 3VD and/or LM with 100% follow up of 4 years All-cause Mortality (Mt) we retrieved 925 pts with DM. DM was present in 925 Pts (Mt: 12.6%). On insulin were 318 (34.3%; Mt 14.5%). We analysed the predicative value of FF in the whole group (925) of pts with DM as well as in subgroups with LM (294) and without LM (631; most similar to original Freedom population), separately. Characteristics of pts, Freedom formula, predicating power by C Statistics, Calibration plots and Brier scores are presented in Picture 1. Our external validation of FF was almost identical as previous published one. Furthermore, the FF may be of value even in pts with LM disease and other vessels involved. Of note our pts as seen by combined LVEF, ClCr and LM were sicker than pts in FREEDOM. Picture 1 Type of funding source: Public grant(s) – National budget only. Main funding source(s): Ministry of education, science and technological development, Republic of Serbia

Controversies exist how to predict medium term mortality (Mt) in diabetics (DM) with 3 vessel (3VD) and/or left main (LM) disease undergoing myocardial revascularization ranging from Syntax Score II (SSII) where DM was not predicative variable up to FREEDOM formula which was derived, just from population with DM (without LM), having DM patients (Pts) requirement of insulin as one of predicative variable. To compare predicative power of SSII, FREEDOM and formula developed in our institution in Pts post first isolated CABG with 3VD and/or LM with DM. From our prospective data base of 2455 consecutive pts who had the first isolated CABG in the period 01/2012–12/2014 with complex Ischemic Heart Disease with 100% follow up of 4 years all-cause Mt we created by random sampling Training (1321; Mt:10.4%; DM 511; Mt:13.3%) and Validation (1134; Mt:10.0%; DM 414; Mt: 11.8%) sets. After deriving predicative formula (Cox regression) from training population we validated FREEDOM, SSII and Our Formula in 414 pts with DM from the Validation set. Characteristics of pts, our formula, predicating power by C Statistics, Calibration plots and Brier scores are presented in Picture 1. FREEDOM formula designed just for DM pts with complex Ischemic Heart Disease without LM had the smallest standard error in the estimate, but moderate C statistics as Syntax Score II and our formula which may be used for pts with and without DM and 3VD and/or LM. Picture 1 Type of funding source: Public grant(s) – National budget only. Main funding source(s): Ministry of education, science and technology development, Republic of Serbia

Two-dimensional (2-D) volumetric exercise stress echocardiography (ESE) provides an integrated view of preload reserve through end-diastolic volume (EDV) and left ventricular contractile reserve (LVCR) through end-systolic volume (ESV) changes. To assess the dependence of stroke volume (SV) and cardiac output (CO) upon LVCR EDV changes and heart rate (HR) during ESE. We prospectively performed semi-supine bicycle or treadmill ESE in 1,344 patients (age 59.8±11.4 years; 550 female; ejection fraction = 62.5±8%) referred for known or suspected coronary artery disease in 20 quality controlled laboratories of 16 countries from 2016 to 2019. SV was calculated at rest and peak stress from raw measurement of LV EDV and ESV by biplane Simpson rule, 2-D echo. LVCR was the stress-rest ratio of force (systolic blood pressure by cuff sphygmomanometer/ESV, abnormal values <2.0 identify a “weak” heart). Preload reserve was defined by an increase in LV EDV. Abnormal values (lack of EDV increase, peak EDV ≤ rest EDV) identify a “stiff” heart. Cardiac output was calculated as SV * HR (measured with standard EKG). HR reserve (stress/rest ratio) <1.85 identifies a “slow” heart with chronotropic incompetence. By selection, all patients had negative SE by wall motion criteria. Of the 1,344 patients included in the study, 448 belonged to the lowest tertile of CO increase. Of them 326 (73%) achieved HR reserve <1.85; 220 (49%) had a blunted LVCR and 374 (83%) a reduction of preload reserve, with 348 patients (78%) showing ≥2 abnormalities. The more the abnormal criteria, the worse the CO response, which was lowest in slow, stiff and weak hearts: see figure. Patients with normal CO reserve during exercise usually have a fast, compliant and strong heart. Abnormal CO reserve is associated with heterogeneous hemodynamic responses, with slow, stiff and/or weak hearts. The clarification of underlying hemodynamic heterogeneity is the prerequisite for a personalized treatment, and can be easily extracted from a standard 2-D volumetric SE. Hearts with normal CO are all alike; every heart with abnormal CO is abnormal in its own way. CO % changes in subsets (*p<0.001) Type of funding source: None

Dilatation and percutaneous coronary intervention in the presence of calcified lesions is particularly demanding and presents a challenge in the daily work of an interventional cardiologist. Coronary calcification is a marker of the progress of the atherosclerotic process. The existence of calcifying lesions predicts a poorer clinical outcome and is associated with increased mortality and the occurrence of postprocedural major adverse cardiovascular events (MACEs). A male patient who was 61 years old was admitted as a result of ST-elevation myocardial infarction (STEMI) complicated by cardiac arrest caused by in-stent thrombosis of a previously suboptimally expanded stent. The lesion did not respond to a dilation attempt with a noncompliant (NC) balloon; however, an optimal result was obtained with inflation from a super-high-pressure NC balloon (OPN NC) for ultra-high-pressure inflations. Resistant, calcified lesions require a careful and comprehensive approach. The OPN NC balloon has a place in the treatment of this type of lesion. An optimized therapeutic modality after the procedure is imperative to prevent a MACE.

It is unclear to what extent the 2019 European Society of Cardiology (ESC), 2018 American College of Cardiology/ American Heart Association (ACC/AHA), 2016 US Preventive Services Task Force (USPSTF), and 2016 Canadian Cardiovascular Society (CCS) guidelines differ in assigning levels of evidence and classes of recommendations (LOE/class) to lipid-lowering treatment recommendations in primary prevention of cardiovascular disease (CVD). To compare LOE/class from four commonly used guidelines at population level. A total of 7262 participants, aged 45–75 years of age and without history of CVD, from the prospective population-based Rotterdam Study were included. Per guideline, proportions of the population recommended statin therapy by LOE/class, sensitivity and specificity, and numbers needed to treat at 10 years (NNT10y) were calculated. Mean age was 61.1 (SD 6.9) years, and 58.2% were women. ESC, ACC/AHA, USPSTF and CCS strongly recommended statin use for a respective 33.8%, 48.1%, and 40.2% and 73.0% of the eligible population based on high-quality evidence, while in an additional 55.3%, 7.1%, 8.4% and 9.2% of participants statins use could or should be considered based on varying LOE/class. The sensitivity for treatment recommendations supported with strong, high quality evidence was 61.6% for ESC (“IA”), 74.6% for ACC/AHA (“IA or IB”), 69.4% for USPSTF (“USPSTF-B”) and 92.5% for CCS (“strong”). Specificity was highest for the ACC/AHA at 46.8% and lowest for ESC at 11.4%. Estimated NNT10y for those with the strongest LOE/class were comparable across all guidelines, ranging from 18 to 26 for moderate-intensity statin use, and 11 to 16 for high-intensity statin use. NNT10y reflective of recommendations supported with moderate strength of LOE/class varied substantially among guidelines for both moderate-intensity and high-intensity statin use, ranging from 33 for ESC and USPSTF to 91 for CCS. Assigned LOE/class varied greatly among four clinical practice guidelines for primary prevention of CVD. Efforts for harmonized and comparable evidence grading system for clinical practice guidelines in primary prevention of CVD may reduce ambiguity, and reinforce updated evidence-based recommendations for appropriate treatment of populations for whom clear evidence for benefit of statin use is available. Type of funding source: None

The role of autonomous cooperative vehicles will undoubtedly be important in Intelligent Transportation Systems (ITS) to increase both the safety and the overall efficiency of a high traffic network system. An autonomous platooning provides one promising strategy for decreasing total fuel consumption of a fleet of vehicles and potential risk of accidents, especially during long-distance transportation. In this work, we provide a proof-of-concept for a simulation framework in which it is possible to simulate platoon and other multi-vehicle systems using realistic vehicle models within different traffic scenarios, which is based on ROS, Gazebo and SUMO. The framework enables an easy-to-use perception and control modules of the autonomous driving stack for a realistic vehicle models, while preserving a convenient setup of different high traffic platooning scenarios. Consequently, it provides a platooning design step for conducting reliable development analyses and a platform for comparisons of different platooning strategies. We illustrate the effectiveness of the proposed platooning framework through three typical scenarios using a distributed model predictive control scheme with a platoon consisted of Toyota Prius car models.

Gate-tunable spin-dependent properties could be induced in graphene at room temperature through the magnetic proximity effect by placing it in contact with a metallic ferromagnet. Because strong chemical bonding with the metallic substrate makes gating ineffective, an intervening passivation layer is needed. Previously considered passivation layers result in a large shift of the Dirac point away from the Fermi level, so that unrealistically large gate fields are required to tune the spin polarization in graphene (Gr). We show that a monolayer of Au or Pt used as the passivation layer between Co and graphene brings the Dirac point closer to the Fermi level. In the $\text{Co}/\text{Pt}/\text{Gr}$ system the proximity-induced spin polarization in graphene and its gate control are strongly enhanced by the presence of a surface band near the Fermi level. Furthermore, the shift of the Dirac point could be eliminated entirely by selecting submonolayer coverage in the passivation layer. Our findings open a path towards experimental realization of an optimized two-dimensional system with gate-tunable spin-dependent properties.

The long‐wavelength geoid is sensitive to Earth's mantle density structure as well as radial variations in mantle viscosity. We present a suite of inversions for the radial viscosity profile using whole‐mantle models that jointly constrain the variations in density, shear‐ and compressional‐wavespeeds using full‐spectrum tomography. We use a Bayesian approach to identify a collection of viscosity profiles compatible with the geoid, while enabling uncertainties to be quantified. Depending on tomographic model parameterization and data weighting, it is possible to obtain models with either positive‐ or negative‐buoyancy in the large low shear velocity provinces. We demonstrate that whole‐mantle density models in which density and VS variations are correlated imply an increase in viscosity below the transition zone, often near 1,000 km. Many solutions also contain a low‐viscosity channel below 650 km. Alternatively, models in which density is less‐correlated with VS—which better fit normal mode data—require a reduced viscosity region in the lower mantle. This feature appears in solutions because it reduces the sensitivity of the geoid to buoyancy variations in the lowermost mantle. The variability among the viscosity profiles obtained using different density models is indicative of the strong nonlinearities in modeling the geoid and the limited resolving power of the geoid kernels. We demonstrate that linearized analyses of model resolution do not adequately capture the posterior uncertainty on viscosity. Joint and iterative inversions of viscosity, wavespeeds, and density using seismic and geodynamic observations are required to reduce bias from prior assumptions on viscosity variation and scalings between material properties.