Simulating the Negative Jet Feedback Mechanism in Common Envelope Jet Supernovae

We use the stellar evolution code MESA to study the negative jet feedback mechanism in common envelope jet supernovae (CEJSNe), in which a neutron star (NS) launches jets in the envelope of a red supergiant (RSG). We find that the feedback reduces the mass accretion rate to be χ j ≃ 0.04–0.3 times the mass accretion rate without the operation of jets. We mimic the effect of the jets on the RSG envelope by depositing the energy that the jets carry into the envelope zones outside the NS orbit. The energy deposition inflates the envelope, therefore reducing the density in the NS vicinity, which in turn reduces the mass accretion rate in a negative feedback cycle. In calculating the above values for the negative jet feedback coefficient (the further reduction in the accretion rate) χ j, we adopt the canonical ratio of jet power to actual accretion power of 0.1, and the results of numerical simulations that show the actual mass accretion rate to be a fraction of 0.1–0.5 of the Bondi–Hoyle–Lyttleton mass accretion rate.

Evaluasi Neraca Massa Kolom Deethanizer di Unit Gas Plant

Gas Plant Unit in company X engaged in energy in Balikpapan has a design capacity of 560 tons/day. This unit serves to produce propane gas (C3H8) and butane (C4H10) to become LPG products. The Deethanizer column is a Light End fractionation unit that separates Ethane compounds from Propane and Butane at operating temperature resulting in LPG products that meet the specifications. The researcher's goal is to obtain the actual mass balance calculation and the flow rate of the process—the method used from retrieving data on operating conditions directly to the industry and performing calculations. The Deetanizer column is composed of 40 sieve trays, the entry feed of the 20th tray operates at the mass flow rate of the Deethanizer column feed of 5949,184 kg/hour, the flow rate of LPG products is 3428,334 kg/hour, and the mass flow rate of gas overhead is 150,186 kg/hour so that there is an actual % loss of 39,84%, this is because this unit should be time to be repaired. However, this does not affect the products produced, which can be seen from laboratory tests on LPG product samples.ABSTRAKGas Plant Unit diperusahaan X yang bergerak dibidang energi di Balikpapan mempunyai kapasitas desain 560 ton/hari. Unit ini berfungsi untuk memproduksi gas propane (C3H8) dan butana (C4H10) sehingga menjadi produk LPG. Kolom Deethanizer adalah unit fraksinasi Light Ends yang berfungsi untuk memisahkan senyawa Ethana dari Propana dan Butana dengan proses destilasi bertekananan sehingga menghasilkan produk LPG yang memenuhi spesifikasi. Tujuan peneliti untuk mendapatkan perhitungan neraca massa aktual serta laju alir proses. Metode yang digunakan dari pengambilan data kondisi operasi langsung ke industri serta melakukan perhitungan. Kolom Deetanizer tersusun dari 40 buah sieve tray, umpan masuk dari tray ke-20, beroperasi pada laju alir massa umpan kolom Deethanizer sebesar 5949,184 kg/jam, laju alir produk LPG sebesar 3428,334 kg/jam dan laju alir massa overhead gas sebesar 150,186 kg/jam sehingga diperoleh % yield aktual 57.62 dan % losses aktual sebesar 39,84%, hal ini disebabkan karena unit ini seharusnya sudah waktunya untuk di perbaiki. Namun hal ini tidak berpengaruh terhadap produk yang dihasilkan, hal ini dapat dilihat dari hasil uji Laboratorium mengenai Sampel Produk LPG.

Search for dormant black holes in ellipsoidal variables III. The OGLE BULGE short-period sample

This is the third of a series of papers that presents an algorithm to search for close binaries with massive, possibly compact, unseen secondaries. The detection of such a binary is based on identifying a star that displays a large ellipsoidal periodic modulation, induced by tidal interaction with its companion. In the second paper of the series we presented a simple approach to derive a robust modified minimum mass ratio (mMMR), based on the observed ellipsoidal amplitude, without knowing the primary mass and radius, assuming the primary fills its Roche lobe. The newly defined mMMR is always smaller than the actual mass ratio. Therefore, a binary with an mMMR larger than unity is a good candidate for having a massive secondary, which might be a black hole or a neutron star. This paper considers 10,956 OGLE short-period ellipsoidals observed towards the Galactic Bulge. We re-analyse their modulation and identify 136 main-sequence systems with mMMR significantly larger than unity as candidates for having compact-object secondaries, assuming their observed periodic modulations reflect indeed the ellipsoidal effect. Obviously, one needs follow-up observations to find out the true nature of these companions.

AccuCor2 Isotope Natural Abundance Correction for Dual-Isotope Tracer Experiments

Stable isotope labeling techniques have been widely applied in the field of metabolomics and proteomics. Before the measured mass spectrum data can be used for quantitative analysis, it must be accurately corrected for isotope natural abundance and tracer isotopic impurity. Despite the increasing popularity of dual-isotope tracing strategy such as ¹³C-¹⁵N or ¹³C-²H, there is no accurate tool for correcting isotope natural abundance for such experiments. Here, we present AccuCor2 as an R-based tool to perform the correction for ¹³C-¹⁵N or ¹³C-²H labeling experiments. Our results show that the dual-isotope experiments often require a mass resolution that is high enough to resolve ¹³C and ¹⁵N or ¹³C and ²H.Otherwise the labeling pattern is not solvable. However, this mass resolution may not be sufficiently high to resolve other non-tracer elements such as oxygen or sulfur from the tracer elements. Therefore, we design AccuCor2 to perform the correction based on the actual mass resolution of the measurements. Using both simulated and experimental data, we show that AccuCor2 performs accurate and resolution dependent correction for dual-isotope tracer data.

AccuCor2 Isotope Natural Abundance Correction for Dual-Isotope Tracer Experiments

Stable isotope labeling techniques have been widely applied in the field of metabolomics and proteomics. Before the measured mass spectrum data can be used for quantitative analysis, it must be accurately corrected for isotope natural abundance and tracer isotopic impurity. Despite the increasing popularity of dual-isotope tracing strategy such as ¹³C-¹⁵N or ¹³C-²H, there is no accurate tool for correcting isotope natural abundance for such experiments. Here, we present AccuCor2 as an R-based tool to perform the correction for ¹³C-¹⁵N or ¹³C-²H labeling experiments. Our results show that the dual-isotope experiments often require a mass resolution that is high enough to resolve ¹³C and ¹⁵N or ¹³C and ²H.Otherwise the labeling pattern is not solvable. However, this mass resolution may not be sufficiently high to resolve other non-tracer elements such as oxygen or sulfur from the tracer elements. Therefore, we design AccuCor2 to perform the correction based on the actual mass resolution of the measurements. Using both simulated and experimental data, we show that AccuCor2 performs accurate and resolution dependent correction for dual-isotope tracer data.

Refined Calculation Assessment of Failure and Fault Tolerance of Sensitive Electronic Components with Actual Mass Protection

Nowadays rocket and space industry enterprises use a simplified method to evaluate failure and fault tolerance of the onboard equipment to single event effects (SEEs), when the calculation is performed for the minimum mass protection thickness (g/cm2 ) of potentially sensitive electronic components determined, as a rule, by the minimum wall thickness of the device under consideration. In this case, all structural elements of the onboard equipment, spacecraft, and neighboring devices are not included, which, in many cases, leads to a significant overestimation of the calculated SEEs frequency especially for large scale integration ICs. Neglecting the actual mass protection may require redundant measures to ensure failure and fault tolerance. The work proposes an improved approach of calculating failure and fault tolerance of sensitive electronic components and onboard equipment to the impact of heavy charged particles and high-energy protons that causes SEEs, which consists in using programs for calculating absorbed doses by the sectorization method in three-dimensional models, which makes possible to determine the minimum, maximum, and average mass protection of electronic components with the complete design of the onboard equipment and spacecraft.

Seaweed Growth Detection in Aquaculture Environment Using Simple Linear Iterative Clustering Method

Estimating the total biomass of cultivates in aquaculture plantations (fisheries, mussel plants, seaweed farms and compound sites) remains to be an issue for the industry and the researchers alike. There has been a diverse array of approaches towards this issue, like using markers, manually stapling the leaflets, weighting the actual mass of the organism and calculating the total mass by extrapolation. Seaweed growth detection is a subset of this problem. Our goal is to introduce a solution by automatically detecting the ratio of the target object in images of seaweed taken from an underwater environment. Researchers/operators then can evaluate the total mass of seaweed. This study aimed to function as a decision support system. The system is built based on an image segmentation algorithm named Simple Linear Iterative Clustering (SLIC) which is a kind of superpixel segmentation. This paper conveys the results obtained from our approach towards the seaweed growth detection, elaborates on the usage and feasibility of our solution in seaweed sites and showcase the economic impact in the industry. Other dimensions of the growth detection methods in current practice for seaweed growth is also discussed, such as lack of automation in the current best-practices while focusing on the difficulties accompanying this status-quo.

Monitoring and traceability of genetically modified soya bean event GTS 40-3-2 during soya bean protein concentrate and isolate preparation

To evaluate DNA fragmentation and GMO quantification during soya bean protein concentrate and isolate preparation, genetically modified soya bean event GTS 40-3-2 (Roundup Ready TM soya bean, RRS) was blended with conventional soya beans at mass percentages of 0.9%, 2%, 3%, 5% and 10%. Qualitative PCR and real-time PCR were used to monitor the taxon-specific lectin and exogenous cp4 epsps target levels in all of the main products and by-products, which has practical significance for RRS labelling threshold and traceability. Along the preparation chain, the majority of DNA was distributed in main products, and the DNA degradation was noticed. From a holistic perspective, the lectin target degraded more than cp4 epsps target during both of the two soya bean proteins preparations. Therefore, the transgenic contents in the final protein products were higher than the actual mass percentages of RRS in raw materials. Our results are beneficial to the improvement of GMO labelling legislation and the protection of consumer rights.

THE ALGORITHM OF COMPLEX DIAGNOSTICS OF TECHNICAL CONDITION OF BUILDING STRUCTURES ON THERMOGRAMS ANALYSIS

the algorithm of complex diagnostics of a technical condition of building constructions and structures on the analysis of thermograms is offered. An attempt is made to systematize and logically build a sequence of stages of energy inspection of heat-consuming and heat-generating construction projects and their structural elements. The presented algorithm includes the main stages performed in such surveys. It differs from the known technologies of energy monitoring of buildings and structures by the presence of two additional stages, which are an integral part of any energy survey: determination of the relative surface humidity of building structures and the actual mass flow of coolant through the heating device for the analysis of thermal images. The implementation of energy (thermal imaging) and technical inspections according to the presented structural scheme requires not only the presence of appropriate instrumentation and measurement base, but also the involvement of highly qualified specialists (civil engineers, thermal power engineers, thermal physicists, operators-thermographers, etc.).

Rapid Peptides Generator: fast and efficient in silico protein digestion

Recent developments in mass spectrometry techniques used in proteomics and proteogenomics have led to a constantly increasing interest in proteases. These proteases are used in different mass spectrometry analyses requiring protein digestions. To perform such digestions, one or multiple proteases are used. Few software exist that predict cleavage sites of proteases and simulate in silico digestions. In this work, Rapid Peptides Generator (RPG), a new software developed in order to predict proteases-induced cleavage sites on sequences, is presented. RPG offers extra features and overcomes most issues of existing software in different ways. First, for each generated peptide, RPG gives its sequence, length and estimation of mass, measurements already provided by other software, as well as the peptide’s isoelectric point. Moreover, contrary to existing software that limit the option of proteases to be used to a predefined list, users of RPG are able to easily define new proteases using a simple yet powerful grammar. This feature allows users to stay up-to-date to new or more specific proteases available on the market and optimizes time and effort before the actual mass spectrometry experiment. RPG is freely available through the well established package management system ‘pip’ and follows the standards for software development.