Keithkaplan3966

The dataset complements an original article entitled " Preference and Willingness to Pay for Small Ruminant Market Facilities in the Central Highlands of Ethiopia " and will be useful in replicating results for academic purposes and or employing the data for further development of choice behavior models.Low-cost Inertial Navigation Sensors (INS) can be exploited for a reliable solution for tracking autonomous vehicles in the absence of GPS signals. However, position errors grow exponentially over time due to noises in the sensor measurements. The lack of a public and robust benchmark dataset has however hindered the advancement in the research, comparison and adoption of recent machine learning techniques such as deep learning techniques to learn the error in the INS for a more accurate positioning of the vehicle. In order to facilitate the benchmarking, fast development and evaluation of positioning algorithms, we therefore present the first of its kind large-scale and information-rich inertial and odometry focused public dataset called IO-VNBD (Inertial Odometry Vehicle Navigation Benchmark Dataset). The vehicle tracking dataset was recorded using a research vehicle equipped with ego-motion sensors on public roads in the United Kingdom, Nigeria, and France. The sensors include a GPS receiver, inertial navigation sensors, wheel-speed sensors amongst other sensors found in the car, as well as the inertial navigation sensors and GPS receiver in an Android smart phone sampling at 10 Hz. A diverse number of driving scenarios were captured such as traffic congestion, round-abouts, hard-braking, etc. on different road types (e.g. country roads, motorways, etc.) and with varying driving patterns. The dataset consists of a total driving time of about 40 h over 1,300 km for the vehicle extracted data and about 58 h over 4,400 km for the smartphone recorded data. We hope that this dataset will prove valuable in furthering research on the correlation between vehicle dynamics and dependable positioning estimation based on vehicle ego-motion sensors, as well as other related studies.The regulation of myeloid-derived suppressor cells (MDSCs) function is key for effective tumor immunotherapy. Neratinib cost Recent lipidomics data revealed that MDSCs accumulate lipid species thereby promote their immunosuppressive activity on T cells. However, genetic manipulation of fatty acid transport protein 2 in mice reduced lipid accumulation in polymorphonuclear MDSCs. Herein we present for the first time lipidome of splenic MDSCs from B16F10 melanoma-bearing mice treated with FATP2 inhibitor - lipofermata compared to the control group. B16F10 were subcutaneously injected into the left flank of wild-type C57BL/6 mice, either lipofermata or vehicle was administered to the mice every day starting from day 7 post-tumor injection for 2 weeks. CD11b+Gr1+ cells from the spleen referred to as MDSCs were sorted on a flow cytometer machine for lipid extraction. Lipid was extracted using methyl‑tert‑butyl ether as previously described with slight modification, followed by liquid chromatography-mass spectrophotometry lipid profiling using a Q-Exactive instrument coupled with HPLC. The raw scans were identified and quantified with LipidSearch while raw data for various lipid species available on the Mendeley Data repository [1]. The lipid profiles reveal change in lipid species following blockade of FATP2 expression in MDSCs compared to the control. These data were collected in connection to a co-submitted paper [2].Datasets of measured viscosity of Polyalpha-Olefin- boron nitride (PAO/hBN) nanofluids are reported. An AR-G2 rheometer (from TA Instruments) experimental setup is used for measuring the rheological property of PAO/hBN nanofluids, which is a combined motor and transducer (CMT) instrument. The test fluid sample size is approximately 1.5 ml and the tests were conducted over a temperature range of the tested fluids from - 20 °C to 70 °C by a water circulator chamber. The dataset includes measured viscosities as a function of the BN volumetric concentration (ϕ) of 0, 0.6 and 1%. Two sets of viscosity measurements are conducted insuring the thermal equilibrium conditions are reached for all experiments. In set (1), the viscosity is measured at intervals of 10 °C by fixing the temperature at each interval (at -20, -10, 0, 10, 20, 30, 40, 50, 60 and 70 °C), while the shear stress and shear rate are varied. In set (2), the temperature is varied from -20 °C to 70 °C at intervals of 0.5 °C, while the shear stress is fixed and the shear rate is varied accordingly. Set (1) is designed to verify whether the fluids are Newtonian or not and set (2) is designed to derive correlations for the viscosity as a function of temperature. Several characteristics data are recorded including rotational speed of the spindle (RPM), torque, viscosity (Pa- s), shear stress (Pa), shear strain rate (1/s) and temperature (°C). The reuse potential of the dataset includes calculating Reynolds number for further flow studies; heat transfer performance studies of nanofluids; lubrication and lubricants' development studies and characteristics of Newtonian and non-Newtonian fluids. The dataset reported here were used (but not published) in the article published by the author in [1] (https//doi.org/10.1016/j.csite.2020.100776).Modern automotive press shops are reaching their process limits due to increasing demands on car body shapes. At the same time, transmission of information and readjustment in the event of quality losses because of process errors is still largely controlled manually. The survey presented here, deals with better connected processes as well as data acquisition, and track and trace applications in press shops. The survey was directed to experts from the automotive industry and is to determine how automated and connected the processes in press shops already are. The survey was conducted from March till April 2020. With a total of 24 questions, an attempt is made to gain a comprehensive picture of the current status and the existing potential regarding smart press shops. In addition to questions on the marking and tracking of pressed parts, the objective is to find out which process data is already being recorded today and what conclusions can be drawn from it regarding the expected part quality. The evaluation of the survey is intended to build the basis for research activities on smart, connected press shops.There are over 70 types of mineral species in desert soils. Previous data have focused on major mineral contents and thus, the identification of minor mineral species is lacking. The diversity of minor mineral species was investigated in 19 surficial sediments from deserts in China and Mongolia. A modern scanning electron microscope (SEM)-based in-situ mineral mapping technique was used to determine the minor mineral species concentrations. For further analysis and interpretation, the identified species were grouped into felsic, mica, carbonate, heavy, rare earth, and salt-type minerals. The data in this article demonstrate that the concentrations of felsic, mica, and carbonate minerals are higher than those of the other mineral groups, and thus can be used to provide evidence of sediment provenance. The obtained mineral concentrations were converted from the relative area percentage for each mineral species using standard mineral density data. Mineral mapping was performed using the mineral liberation analysis platform, and on average, approximately 40,000 single particles per sample were analyzed to achieve an accurate quantification of the mineral concentrations. For each of the analyzed single particles, the particle shape parameters, such as particle length and width, were stored and can be used to trace the sediment transport process. For a deeper interpretation of the data presented herein, please see the related research article "Provenance of Fe in Chinese Deserts Evidence from the geochemistry and mineralogy of soil particles" [1].The most investigated conducting polymer (CP) is polyaniline (PANI)), a promising polymer due to its excellent environmental stability, simplicity of synthesis, and high electrical conductivity [1], [2], [3], [4]. In corrosion protection applications, the PANI film has shown promising potential in protecting active metals such as iron by acting as physical barrier coatings, as a primer layer and as component in a multi-layer coating system [5]. The PANI has an excellent potential to replace the toxic metal, such as chromates, in corrosion protection and is considered a green anti-corrosion candidate [5], [6], [7]. The electrochemical synthesis of PANI coatings on active metals is accomplished by the dissolution of the metal at a potential lower than the monomer oxidation potential [8], [9]. Therefore, electrochemical synthesis of PANI coatings on active metal requires a proper choice of the electrolyte and solvent that should strongly passivate the metal without hindering the electropolymerization process [10], [11]. The data reported here are obtained while the anodic polarization of mild steel (MS) is carried out in succinic acid, sulphanilic acid, sodium orthophosphate, sodium potassium tartrate (Na-K tartrate), and benzoic acid in 31 alcohol-water (BAW) solutions [11]. However, the results of electrolytes sodium-potassium tartrate (Na-K tartrate) and benzoic acid in alcohol-water (BAW) are reported for the polymerization of aniline onto MS [11]. The SEM image of MS sample polarized in 0.3 M oxalic acid solution and 0.1 M aniline in 0.3 M oxalic acid is reported as a dataset or a supplementary material of the main manuscript 'The Effect of Electrolytes on the Coating of Polyaniline on Mild Steel by Electrochemical Methods and Its Corrosion Behaviour [11].'These data present the 141 intracranial arterial branches' visibilities near the 72 cerebral aneurysms in postoperative 58 patients treated with titanium or cobalt-chromium-nickel-molybdenum (CCNM) alloy clips. The visibilities were evaluated using time-of-flight magnetic resonance angiography (TOF-MRA), pointwise encoding time reduction with radial acquisition (PETRA)-MRA, which uses MRA with ultrashort echo time (UTE-MRA) and subtraction technique between saturated and non-saturated images, and three-dimensional computed tomography angiography (3DCTA). We retrospectively acquired the data from the medical records of Suwa Red Cross Hospital. Each method's appearance was compared, and associations between visibility on PETRA-MRA, arterial diameter, clip numbers, clip shapes, clip materials, and amounts of hematoma were summarized. Our article on PETRA-MRA's usefulness for proximal and branched arteries evaluation after cerebral aneurysm clipping [1] was based on these data. This dataset would be useful for reference value for other neurosurgeons or radiologists for further analysis on PETRA-MRA and another UTE-MRA like SILENT-MRA after cerebral aneurysm clipping.The Notch signaling pathway is an important conserved pathway for normal homeostasis during development. However, targeted deletion of Notch4 (Notch4d1 ) or Notch3 (Notch3d1 ) in mice is not lethal. In fact, both Notch4d1 and Notch3d1 mice develop normally and are fertile. Here we present RNA seq analysis of differential gene expression in the kidneys of Notch4d1 mice versus the Notch3 d1 mice, all on FVB background. Kidneys were collected from Notch4d1 and Notch3 d1 littermates at 3 months of age. RNA sequencing was carried out. The raw data were analyzed for differential gene expression using a negative binomial generalized linear model in the DeSeq2 software package. We used P-value ≤0.05 and an absolute fold change of 1.5 or greater to identify top upregulated and downregulated genes in Notch4 d1 mice compared to Notch3 d1 mice. The data provided will indentify targets of Notch3 and Notch4 signaling, specifically in kidney diseases where Notch3 or Notch4 are abberantly or redundantly expressed.