Offset Models Research Articles

Affordable Real-Time PPP—Combining Low-Cost GNSS Receivers with Galileo HAS Corrections in Static, Pseudo-Kinematic, and UAV Experiments

The Galileo High Accuracy Service (HAS) is a free of charge Global Navigation Satellite System (GNSS) augmentation service provided by the European Union. It is designed to enable real-time Precise Point Positioning (PPP) with a target accuracy (at the 95% confidence level) of 20 cm and 40 cm in the horizontal and vertical components, respectively, to be achieved within 300 s. The performance of the service has been confirmed with geodetic-grade receivers. However, mass market applications require low-cost GNSS receivers connected to low-cost antennae. This paper focuses on the performance of the real-time static and kinematic positioning achieved with Galileo HAS and low-cost GNSS receivers. The study is limited to GPS+Galileo dual-frequency positioning, thus exploiting the full potential of Galileo HAS SL1. We demonstrate that the target accuracy of Galileo HAS SL1 is reached with both geodetic-grade and low-cost receivers in dual-frequency static and kinematic applications in open-sky conditions. Precision of a few centimeters is reached for static positioning, while kinematic positioning results in subdecimeter precision. Vertical accuracy is limited by missing phase center offset models for low-cost antennas. In general, the performance of low-cost hardware using Galileo HAS for real-time PPP is comparable to that of geodetic-grade hardware. Therefore, combining low-cost GNSS receivers with Galileo HAS is feasible and justified.

Massive White Dwarfs in the 100 pc Sample: Magnetism, Rotation, Pulsations, and the Merger Fraction

We present a detailed model atmosphere analysis of massive white dwarfs with M > 0.9 M ⊙ and T eff ≥ 11,000 K in the Montreal White Dwarf Database 100 pc sample and the Pan-STARRS footprint. We obtained follow-up optical spectroscopy of 109 objects with no previous spectral classification in the literature. Our spectroscopic follow-up is now complete for all 204 objects in the sample. We find 118 normal DA white dwarfs, including 45 massive DAs near the ZZ Ceti instability strip. There are no normal massive DBs: the six DBs in the sample are strongly magnetic and/or rapidly rotating. There are 20 massive DQ white dwarfs in our sample, and all are found in the crystallization sequence. In addition, 66 targets are magnetic (32% of the sample). We use magnetic white dwarf atmosphere models to constrain the field strength and geometry using offset dipole models. We also use magnetism, kinematics, and rotation measurements to constrain the fraction of merger remnant candidates among this population. The merger fraction of this sample increases from 25% for 0.9–1 M ⊙ white dwarfs to 49% for 1.2–1.3 M ⊙. However, this fraction is as high as 78−7+4 % for 1.1–1.2 M ⊙ white dwarfs. Previous works have demonstrated that 5%–9% of high-mass white dwarfs stop cooling for ∼8 Gyr due to the 22Ne distillation process, which leads to an overdensity of Q-branch stars in the solar neighborhood. We demonstrate that the overabundance of the merger remnant candidates in our sample is likely due to the same process.

The accuracy of predicting maladaptation to new environments with genomic data.

Rapid environmental change poses unprecedented challenges to species persistence. To understand the extent that continued change could have, genomic offset methods have been used to forecast maladaptation of natural populations to future environmental change. However, while their use has become increasingly common, little is known regarding their predictive performance across a wide array of realistic and challenging scenarios. Here, we evaluate the performance of currently available offset methods (gradientForest, the Risk-Of-Non-Adaptedness, redundancy analysis with and without structure correction and LFMM2) using an extensive set of simulated data sets that vary demography, adaptive architecture and the number and spatial patterns of adaptive environments. For each data set, we train models using either all, adaptive or neutral marker sets and evaluate performance using in silico common gardens by correlating known fitness with projected offset. Using over 4,849,600 of such evaluations, we find that (1) method performance is largely due to the degree of local adaptation across the metapopulation (LA), (2) adaptive marker sets provide minimal performance advantages, (3) performance within the species range is variable across gardens and declines when offset models are trained using additional non-adaptive environments and (4) despite (1) performance declines more rapidly in globally novel climates (i.e. a climate without an analogue within the species range) for metapopulations with greater LA than lesser LA. We discuss the implications of these results for management, assisted gene flow and assisted migration.

Hybridization mediated range expansion and climate change resilience in two keystone tree species of boreal forests.

Current global climate change is expected to affect biodiversity negatively at all scales leading to mass biodiversity loss. Many studies have shown that the distribution of allele frequencies across a species' range is often influenced by specific genetic loci associated with local environmental variables. This association reflects local adaptation and allele changes at those loci could thereby contribute to the evolutionary response to climate change. However, predicting how species will adapt to climate change from this type of data alone remains challenging. In the present study, we combined exome capture sequences and environmental niche reconstruction, to test multiple methods for assessing local adaptation and climate resilience in two widely distributed conifers, Norway spruce and Siberian spruce. Both species are keystone species of the boreal forest and share a vast hybrid zone. We show that local adaptation in conifers can be detected through allele frequency variation, population-level ecological preferences, and historical niche movement. Moreover, we integrated genetic and ecological information into genetic offset predictive models to show that hybridization plays a central role in expanding the niche breadth of the two conifer species and may help both species to cope better with future changing climates. This joint genetic and ecological analysis also identified spruce populations that are at risk under current climate change.

The impact of increasing body mass index on in vitro fertilization treatment, obstetrical, and neonatal outcomes

BackgroundCiting the risks of administering anesthesia to patients with obesity, few fertility centers offer IVF as a treatment modality for patients with BMIs ≥ 40 kg/m2. Although previous studies have assessed clinical pregnancy and cumulative live birth rates in patients who spontaneously conceive with BMIs ≥ 50 kg/m2, there is a paucity of IVF, obstetric, and neonatal outcome data in patients with severe obesity who conceive after IVF. ObjectiveTo evaluate the impact of increasing BMI on IVF, obstetrical, and neonatal outcomes in patients with obesity undergoing IVF. Study DesignThis was a retrospective cohort study within an academic fertility center including 2,069 fresh IVF/ICSI and frozen embryo transfer cycles from January 1, 2012 to April 30, 2020: this cohort was utilized to determine IVF treatment outcomes. A second embedded cohort of 867 fresh IVF/ICSI and frozen embryo transfer cycles which resulted in ongoing clinical pregnancies and deliveries within a single tertiary hospital system was utilized to determine pregnancy, maternal, and neonatal outcomes. All patients with a BMI ≥ 40 kg/m2 underwent consultation with a maternal fetal medicine specialist prior to starting treatment and a preoperative evaluation with an anesthesiologist prior to oocyte retrieval. Cycles were grouped by body mass index at cycle start: BMI 30-34.9 kg/m2, BMI 35-39.9 kg/m2, BMI 40-44.9 kg/m2, BMI 45-49.9 kg/m2, and BMI > 50 kg/m2. Log-binomial Poisson regression and Poisson regression with an offset models were performed with BMI 30-34.9 kg/m2 as the reference group, adjusting for potential confounders including oocyte age, patient age, embryo quality, transfer type, and coexisting comorbidities. The primary outcome was live birth rate. Secondary outcomes included fertilization rate, blastulation rate, miscarriage rate, incidence of preeclampsia with severe features, gestational diabetes, labor induction, cesarean section, preterm delivery, and birth weight. ResultsThere were 2,069 fresh IVF/ICSI and frozen embryo transfer cycle starts from January 1, 2012 to April 30, 2020. Of these, 1008 cycles were in the BMI 30-34.9 kg/m2 group, 547 in the BMI 35-39.9 kg/m2 group, 277 in the BMI 40-44.9 kg/m2 group, 161 in the BMI 45-49.9 kg/m2 group, and 76 in the BMI > 50 kg/m2 group. Live birth rate was not significantly different between groups. The BMI > 50 kg/m2 group was significantly more likely to experience preeclampsia with severe features when compared to the BMI 30-34.9 kg/m2 group (aRR 2.75, 95% CI 1.13-6.67). Fertilization rate, blastulation rate, miscarriage rate, incidence of gestational diabetes, labor induction, cesarean section, preterm delivery, and neonatal birth weights were not significantly different between groups. Conclusion(s): Among patients with BMIs 30-60 kg/m2 who conceived via IVF and received comprehensive prenatal care at a tertiary care hospital, IVF, obstetrical, and neonatal outcomes were largely comparable. These data support a collaborative care approach with maternal fetal medicine specialists and skilled anesthesiologists, reinforcing the notion that IVF should not be withheld as a treatment modality from patients with obesity.

Conditional average treatment effect estimation with marginally constrained models

Abstract Treatment effect estimates are often available from randomized controlled trials as a single average treatment effect for a certain patient population. Estimates of the conditional average treatment effect (CATE) are more useful for individualized treatment decision-making, but randomized trials are often too small to estimate the CATE. Examples in medical literature make use of the relative treatment effect (e.g. an odds ratio) reported by randomized trials to estimate the CATE using large observational datasets. One approach to estimating these CATE models is by using the relative treatment effect as an offset, while estimating the covariate-specific untreated risk. We observe that the odds ratios reported in randomized controlled trials are not the odds ratios that are needed in offset models because trials often report the marginal odds ratio. We introduce a constraint or a regularizer to better use marginal odds ratios from randomized controlled trials and find that under the standard observational causal inference assumptions, this approach provides a consistent estimate of the CATE. Next, we show that the offset approach is not valid for CATE estimation in the presence of unobserved confounding. We study if the offset assumption and the marginal constraint lead to better approximations of the CATE relative to the alternative of using the average treatment effect estimate from the randomized trial. We empirically show that when the underlying CATE has sufficient variation, the constraint and offset approaches lead to closer approximations to the CATE.

Effect of offset on the precision of 3D-printed orthognathic surgical splints.

This study evaluated the effect of offset on the precision of three-dimensional (3D)-printed splints, proposing to optimize the splint design to compensate for systematic errors. 14 resin model sets were scanned and offset as a whole by given distances (0.05, 0.10, 0.15, 0.20, 0.25, 0.30, 0.35, and 0.40mm). Intermediate splints (ISs) and final splints (FSs) were generated from the non-offset and offset models and grouped correspondingly, named as splint type-offset value, IS-0.05, for instance. Dentitions occluded with the splint were scanned. Translational and rotational deviations of the lower dentition relative to the upper dentition were 3D measured. Deviations of ISs and FSs were more evident in the vertical and pitch dimensions, and were mostly acceptable in other dimensions. ISs with offset ≥ 0.05mm showed vertical deviations significantly below 1mm (P < 0.05) while ISs with 0.10- to 0.30-mm offsets had pitch rotations significantly lower than 1° (P < 0.05). The Pitch of IS-0.35 was significantly larger than ISs with 0.15- to 0.30-mm offsets (P < 0.05). Meanwhile, FSs fit better as the offset increased and FSs with offsets ≥ 0.15mm all had deviations significantly lower than 1mm (for translation) or 1° (for rotation) (P < 0.05). Offset affects the precision of 3D-printed splints. Moderate offset values of 0.10 to 0.30mm are recommendable for ISs. Offset values ≥ 0.15mm are recommended for FSs in cases with stable final occlusion. This study found the optimal offset ranges for 3D-printed ISs and FSs via a standardized protocol.

Long-term SARS-CoV-2 surveillance in wastewater and estimation of COVID-19 cases: An application of wastewater-based epidemiology

The role of wastewater-based epidemiology (WBE), a powerful tool to complement clinical surveillance, has increased as many grassroots-level facilities, such as municipalities and cities, are actively involved in wastewater monitoring, and the clinical testing of coronavirus disease 2019 (COVID-19) is downscaled widely. This study aimed to conduct long-term wastewater surveillance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Yamanashi Prefecture, Japan, using one-step reverse transcription-quantitative polymerase chain reaction (RT-qPCR) assay and estimate COVID-19 cases using a cubic regression model that is simple to implement. Influent wastewater samples (n = 132) from a wastewater treatment plant were collected normally once weekly between September 2020 and January 2022 and twice weekly between February and August 2022. Viruses in wastewater samples (40 mL) were concentrated by the polyethylene glycol precipitation method, followed by RNA extraction and RT-qPCR. The K-6-fold cross-validation method was used to select the appropriate data type (SARS-CoV-2 RNA concentration and COVID-19 cases) suitable for the final model run. SARS-CoV-2 RNA was successfully detected in 67 % (88 of 132) of the samples tested during the whole surveillance period, 37 % (24 of 65) and 96 % (64 of 67) of the samples collected before and during 2022, respectively, with concentrations ranging from 3.5 to 6.3 log10 copies/L. This study applied a nonnormalized SARS-CoV-2 RNA concentration and nonstandardized data for running the final 14-day (1 to 14 days) offset models to estimate weekly average COVID-19 cases. Comparing the parameters used for a model evaluation, the best model showed that COVID-19 cases lagged 3 days behind the SARS-CoV-2 RNA concentration in wastewater samples during the Omicron variant phase (year 2022). Finally, 3- and 7-day offset models successfully predicted the trend of COVID-19 cases from September 2022 until February 2023, indicating the applicability of WBE as an early warning tool.

Signs of binary evolution in seven magnetic DA white dwarfs

ABSTRACT We present our findings on the spectral analysis of seven magnetic white dwarfs that were presumed to be double degenerates. We obtained time-resolved spectroscopy at the Gemini Observatory to look for evidence of binarity or fast rotation. We find three of our targets have rotation periods of less than an hour based on the shifting positions of the Zeeman-split H α components: 13, 35, and 39 min, and we find one more target with a approximately an hour long period that is currently unconstrained. We use offset dipole models to determine the inclination, magnetic field strength, and dipole offset of each target. The average surface field strengths of our fast rotators vary by 1–2 MG between different spectra. In all cases, the observed absorption features are too shallow compared to our models. This could be due to extra flux from a companion for our three low-mass targets, but the majority of our sample likely requires an inhomogeneous surface composition. Including an additional magnetic white dwarf with similar properties presented in the literature, we find that five of the eight targets in this sample show field variations on minute/hour time-scales. A crystallization driven dynamo can potentially explain the magnetic fields in three of our targets with masses above 0.7 M⊙, but another mechanism is still needed to explain their rapid rotation. We suggest that rapid rotation or low-masses point to binary evolution as the likely source of magnetism in seven of these eight targets.

Systematic comparison of head mounted display colorimetric performance using various color characterization models

The advancement of virtual reality in recent times has seen unprecedented applications in the scientific sphere. This work focuses on the colorimetric characterization of head mounted displays for psychophysical experiments for the study of color perception. Using a head mounted display to present stimuli to observers requires a full characterization of the display to ensure that the correct color is presented. In this paper, a simulation is done to mimic a practical display with color channel interactions and characterization of simulated data is done using the following models: gain offset gamma model, gain offset gamma offset model, gain gamma offset model, piecewise linear assuming chromaticity constancy model, piecewise linear model assuming variation in chromaticity, look-up table model, polynomial regression model, and an artificial neural network model. an analysis showed that the polynomial regression, artificial neural network, and look-up table models were substantially better than other models in predicting a set of rgb values, which can be passed as input to a head mounted display to output desired target xyz values. both the look-up table and polynomial regression models could achieve a just noticeable difference between the actual input and predicted output color of less than 1. the gain offset gamma, gain offset gamma offset, and gain gamma offset models were not effective in colorimetric characterization, performing badly for simulations as they do not incorporate color channel interactions. the gain offset gamma model was the best among these three models and the lowest just noticeable difference it could achieve was over 13, clearly too high for color science experiments.

In Memoriam : Edward O. Wilson (1929-2021): It All Started with Ants.

In Memoriam : Edward O. Wilson (1929-2021): It All Started with Ants.

Ten-year trends in vertical distribution of radiocesium in Fukushima forest soils, Japan

To elucidate interannual changes in the vertical distribution of 137Cs in forest ecosystems contaminated by the Fukushima Dai-ichi Nuclear Power Plant accident, we investigated 137Cs inventories in forest soils (both organic and mineral soil horizons) at 10 sampling plots with different 137Cs deposition levels and dominant species for up to 10 years after the accident. We examined the temporal variation of the 137Cs inventories by depth with exponential regression models (assuming that the transition and partitioning of 137Cs are still active) and exponential offset regression models (assuming a shift to a stable 137Cs distribution, defined as the “quasi-equilibrium steady-state” in the Chernobyl accident). In the organic horizon, the 137Cs inventories were exponentially decreasing, and it might take more time to converge in the quasi-equilibrium steady-state at most plots. In the mineral soil horizon, most of 137Cs was found in the surface layer of the mineral soil horizon (0–5 cm). In this layer, the inventories first increased and then become relatively constant, and the exponential offset model was selected at most plots, suggesting entry into the quasi-equilibrium steady-state over the observation period. Although we also observed exponentially increasing trends in a lower layer (5–10 cm) of the mineral soil horizon, there was no clear increasing or decreasing trend of 137Cs inventory in the deeper mineral soil layers (10–15 and 15–20 cm). Our calculation of the relaxation depth and migration center revealed that downward migration of 137Cs is not significant in terms of the overall 137Cs distribution in the mineral soil horizon over 10 years.

TEMPORAL AND SPATIAL ANALYSIS OF CLASSIFICATION TREE FOR IMPERVIOUS SURFACE MAPPING FROM SENTINEL-2 MSI DATA

Abstract. For studies of urban development, it is an important method for obtaining the distribution of impervious surface (IS) areas and their dynamic change from remote sensing data. The dilemma of the same spectrum for different features and different spectrums for the same features, posed by the complexity of the IS objects, is the fundamental obstacle encountered in the extraction of urban IS areas. In this study, an automatic extraction method for urban IS areas is proposed and analyzed, based on classification and regression tree (CART) and ensemble learning strategies. The Sentinel-2 MSI data of 30 cities in China from 2018 to 2020 were selected for IS extraction experiments. We perform temporal and spatial modeling of the splitting threshold offset in the classification model to explore the effect of time and space on IS extraction. The obtained offset models show that the temporal variation is not significant, while the spatial offsets have more obvious linear relationships.

Experimental measurements and mathematical modeling of cold plate for aviation thermal management

This study, which has been motivated by the recent applications of the cold plate device in aviation thermal management, reports on physics-based mathematical models derived from the conservation laws of mass, momentum, and energy, and empiricism-based models. One of the objectives of the present work is to report on an elaborate and successful experimental work carried out on an additively manufactured device for the purpose of rigorously validating the numerical predictions. The excellent agreement between the numerical predictions and measured performance provides much needed confidence in the implementation, in the software package, of the offset-strip fin passage correlations, as well as in the software implementation of user-defined wavy fin correlations for aerospace heat exchangers and cold plates operating with ram air at Reynolds numbers below 8000. The contributions of this work can also be found in the development of a new and accurate thermal-hydraulic analysis procedure, referred to in this paper as plate-fin analogy. Results from this procedure are compared with those from thermal resistance network. The comparative study in this paper of the bulk and discrete enthalpy flux method is also new, as is the relative assessment of four off-set strip fin thermal-hydraulic models.

Evolution of the Late Cretaceous Nanaimo Basin, British Columbia, Canada: Definitive provenance links to northern latitudes

AbstractAccurate reconstruction of the Late Cretaceous paleogeography and tectonic evolution of the western North American Cordilleran margin is required to resolve the long-standing debate over proposed large-scale, orogen-parallel terrane translation. The Nanaimo Basin (British Columbia, Canada) contains a high-fidelity record of orogenic exhumation and basin subsidence in the southwestern Canadian Cordillera that constrains the tectonic evolution of the region. Integration of detrital zircon U-Pb geochronology, conglomerate clast U-Pb geochronology, detrital muscovite 40Ar/39Ar thermochronology, and Lu-Hf isotopic analysis of detrital zircon defines a multidisciplinary provenance signature that provides a definitive linkage with sediment source regions north of the Sierra Nevada arc system (western United States).Analysis of spatial and temporal provenance variations within Nanaimo Group strata documents a bimodal sediment supply with a local source derived from the adjacent magmatic arc in the southern Coast Mountains batholith and an extra-regional source from the Mesoproterozoic Belt Supergroup and the Late Cretaceous Atlanta lobe of the Idaho batholith. Particularly robust linkages include: (1) juvenile (εHf &amp;gt;+10) Late Cretaceous zircon derived from the southern Coast Mountains batholith; (2) a bimodal Proterozoic detrital zircon signature consistent with derivation from Belt Supergroup (1700–1720 Ma) and ca. 1380 Ma plutonic rocks intruding the Lemhi subbasin of central Idaho (northwestern United States); (3) quartzite clasts that are statistical matches for Mesoproterozoic and Cambrian strata in Montana and Idaho (northwestern United States) and southern British Columbia; and (4) syndepositional evolved (εHf &amp;gt;−10) Late Cretaceous zircon and muscovite derived from the Atlanta lobe of the Idaho batholith. These provenance constraints support a tectonic restoration of the Nanaimo Basin, the southern Coast Mountains batholith, and Wrangellia to a position outboard of the Idaho batholith in Late Cretaceous time, consistent with proposed minimal- fault- offset models (&amp;lt;~1000 km).

On Satellite-Borne GPS Data Quality and Reduced-Dynamic Precise Orbit Determination of HY-2C: A Case of Orbit Validation with Onboard DORIS Data

Haiyang-2C (HY-2C) is a dynamic, marine-monitoring satellite that was launched by China and is equipped with an onboard dual-frequency GPS receiver named HY2_Receiver, which was independently developed in China. HY-2C was successfully launched on 21 September 2020. Its precise orbit is an important factor for scientific research applications, especially for marine altimetry missions. The performance of the HY2_Receiver is assessed based on indicators such as the multipath effect, ionospheric delay, cycle slip and data utilization, and assessments have suggested that the receiver can be used in precise orbit determination (POD) missions involving low-Earth-orbit (LEO) satellites. In this study, satellite-borne GPS data are used for POD with a reduced-dynamic (RD) method. Phase centre offset (PCO) and phase centre variation (PCV) models of the GPS antenna are established during POD, and their influence on the accuracy of orbit determination is analysed. After using the PCO and PCV models in POD, the root mean square (RMS) of the carrier-phase residuals is around 0.008 m and the orbit overlap validation accuracy in each direction reaches approximately 0.01 m. Compared with the precise science orbit (PSO) provided by the Centre National d’Etudes Spatiales (CNES), the RD orbit accuracy of HY-2C in the radial (R) direction reaches 0.01 m. The accuracy of satellite laser ranging (SLR) range validation is better than 0.03 m. Additionally, a new method is proposed to verify the accuracy of the RD orbit of HY-2C by using space-borne Doppler orbitography and radiopositioning integrated by satellite (DORIS) data directly. DORIS data are directly compared to the result calculated using the accurate coordinates of beacons and the RD orbit, and the results indicate that the external validation of HY-2C RD orbit has a range rate accuracy of within 0.0063 m/s.

Double π-Extended Helicene Derivatives Containing Pentagonal Rings: Synthesis, Crystal Analyses, and Photophysics.

Two novel double π-extended [n]helicene (n = 5, 6) derivatives (7b and 9) including pentagonal rings have been synthesized and characterized. Both of them have three isomers containing two enantiomers (P6), (M6), and a diastereoisomer in a meso form (P,M). X-ray single crystal analyses suggest that molecules 7b and 9 exhibit offset packing models of (P6,P5)- and (M6,M5)-isomers. Optical resolution of the resultant compound 7b was finished, and their chiroptical properties, as well as the DFT calculations, were also examined.

Adapting smartwatch interfaces to hand gestures during movements: offset models and the C-shaped pattern of tapping

Interacting with smartwatches is fairly common when users are moving. Although novel interaction gestures like flick of the wrist are implemented, basic touch gestures such as tapping and swiping still dominate. Using these gestures during a variety of movements could be challenging, and it is still not clear how the interface of smartwatches should tailor to users’ gestures during movements and how the usage of smartwatches influences the pattern of users’ movements. Therefore, this study investigates the interrelationship among users’ interaction gestures, movements, and gait features. An experiment was conducted among 47 participants, who used smartwatches through tapping, swiping, and wrist flicking to complete daily tasks in stand, strolling, normal walking, rushing, and jogging. They were tracked through built-in accelerometer and angle sensors. Four findings were derived from the experiment. First, rushing and jogging significantly decrease the effectiveness and efficiency of tapping. To reduce the tapping deviation, offset models were proposed and tested. Second, there is a C-shaped pattern on the round screen where tapping targets achieves higher accuracy than other areas. Third, the tapping performance could be improved by setting target sizes. Target sizes at 0.7 cm in stand, 1.1 cm in strolling, and 1.1 cm in walking achieve a high level of accuracy (95%), while target sizes at 1.5 cm in rushing and jogging achieve a middle level of accuracy (90%). Finally, tapping, swiping, and wrist flicking when users are moving significantly reduce their gait symmetry and step length. They do not imply significant influence on gait intensity, regularity, and overall stability.

Bi-objective optimization of biomass supply chains considering carbon pricing policies

Bi-objective optimization models considering carbon pricing policies are developed in this paper to obtain the trade-off between cost and emissions of biomass supply chain models, which is important for decision making. Solving bi-objective optimization models to obtain the set of trade-off solutions can be time consuming. To avoid the computational effort, in this paper, a new algorithm is developed to obtain the solutions for the bi-objective models with carbon pricing policies using the solutions of the bi-objective model without carbon pricing. The algorithm is based on mathematical properties of optimum solutions of bi-objective models with and without carbon pricing policies. These properties are proved mathematically. The developed algorithm is applied to a case study of a biomass-fed district heating system. Results indicate that the number of optimum solutions to the bi-objective models decrease when emissions are priced compared to when emissions are not priced. The increase in total cost for mitigating a given quantity of emission is more for the carbon offset model compared to the carbon tax and the carbon cap-and-trade models. Pair-wise comparison of the models indicates that the carbon tax model has more cost than the carbon cap-and-trade and the carbon offset models. The algorithm and results of this study are independent of the case study; therefore, they can be applied to other cases and industries.

Research of the influence of humanomics on the economic effect of compensation agreements

The object of research is the humanitarian context of offset policy, which is studied using the collection of evidence in the field of study-in the defense industry of Europe. One of the most problematic places in the sphere of trade in military goods is the humanitarian factor of economic relations, namely the influence of non-economic factors on the economic effect. The humanitarian aspect of economic relations led to a study of the foundations of the so-called «humanitarian economy» or «humanomics» as a moral and ethical category of economic relations, and military-technical cooperation, as a purely rational category of relations between producers, suppliers and importers of military products. The concept of «humanomics» is formed not so long ago, therefore this topic is not sufficiently disclosed in the literature, making research promising. During the study, the key concepts of the traditional and humanitarian economics, their dialectic unity, interpenetration and interconnection were revealed. In addition to studying the impact of compensation transactions on business processes in small and medium-sized enterprises, a special business model, the so-called compensation transaction model, is developed in this research. The model is based on a three-stage systematic approach: at the first stage, problems associated with compensation agreements at small and medium enterprises are identified, and at the second stage, empirical data are analyzed. At the latter, a theoretical model is proposed that is specially developed for practicing specialists and is tested using practically two specific cases. Thanks to the use of the proposed model, it is possible to support the implementation of compensation agreements at all levels of management, including planning, implementation of tasks and control. For the military-trade cooperation of Ukraine with other weapons-importing countries, offset models will contribute to deepening economic cooperation in the competition on the global arms and military equipment markets. Therefore, it is extremely important, while strengthening the humanitarian aspects of offset policy, at the same time actively developing and implementing mechanisms of competitive counteraction.