Extension Package Research Articles

In-situ Full Field Out of Plane Displacement and Strain Measurements at the Micro-Scale in Single Reinforcement Composites under Transverse Load

Micromechanics damage models applied to composites predict stresses and strains in the matrix and fibers as a function of the microstructure, constituting phases mechanical properties and load histories. Material parameters, like interface properties, are identified through inverse methods based on macroscopic stress-strain curves. Predictions are also benchmarked against macroscopic measurements. This situation does not capture local phenomena and hinders the robustness of the indentification/validation process. The purpose of this work is to provide full displacement and strain fields at the scale of a single fibre embedded into a matrix to allow the modelling community to either develop and identify micromechanics damage models or to benchmark their own predictions. Such data is critically lacking in the community. To that end, we have investigated three single fibers having radically different bonding strength with epoxy in addition to a bundle of about a hundred carbon fibers that were used as reinforcements of standard “dogbone” epoxy specimens. A laser scanning confocal microscope (LSCM) is used for micro digital image correlation (μDIC) during in-situ quasi-static tests of single-reinforcement dogbone specimens. For all specimens, damage initiated with fiber debonding at the free surface along the tensile direction. The crack then propagates around the interface while slightly growing along the fiber. The interfacial crack is shown to grow faster for couples with weak interfacial bonding. Strong fiber / matrix bonding is shown to stop Mode II transverse interfacial debonding which significantly delays specimen failure. Analysis of the LSCM micrographs with μDIC is used to provide measurements of displacements, strains, and measure depth during each test. The importance of out of plane displacements in interfacial debonding is highlighted. Out of plane displacement is shown to play a role in interfacial crack opening and growth and ought to be considered when studying or modeling damage in FRCs. μDIC is shown to be a promising technique to provide a better understanding of the damage mechanisms at the fiber or bundle scales and to determine interfacial toughness of a specific fibre / matrix couple in order to perform accurate damage modeling in FRCs. Displacement, strain, and confidence field results for each pixel from each experiment and at each time step are also provided in an extensive data package for detailed comparison with simulation results.

Single-Cell RNA-Seq Identifies Potentially Pathogenic B Cell Populations That Uniquely Circulate in Patients with Chronic Gvhd

While B cells are known to contribute to the pathogenesis of chronic graft-versus-host disease (cGVHD) in mice, it has been challenging to elucidate intrinsic mechanisms of tolerance loss in patients. To identify distinct and potentially targetable B-cell subsets in cGVHD, we employed single-cell RNA-Seq along with an unsupervised hierarchical clustering analysis, targeting 10,000 single B cells from each of eight patients who were >12 months post-allogeneic hematopoietic stem cell transplantation (HCT) and either had active cGVHD manifestations (n=4) or never developed cGVHD (n=4). Bioinformatics analysis of pooled cell data (using R with Seurat extension package) identified 6 major B cell clusters common to all patients (Figure 1A). "Intra-cluster" gene comparison (using R package DESeq2, false-discovery rate 0.05) revealed numerous differentially expressed genes between patient groups. The greatest number of differentially-expressed genes occurred in a cluster referred to herein as 'Cluster 6' (Figure 1A, in yellow with asterisk). Within Cluster 6, B cells from active cGVHD patients expressed significantly increased ITGAX (CD11c, Padj =0.007), TNFRSF13B (TACI, a receptor for BAFF, Padj =0.003), IGHG1 (IgG1, Padj =9.3e-06) and IGHG3 (IgG3, Padj =1.7e-12), along with 44 additional genes (to be discussed). Thus, Cluster 6 in cGVHD patients may represent a CD11cpos, BAFF-responsive B cell subset primed to undergo isotype switching in response to alloantigen. Flow cytometry analysis on PBMCs from an independent HCT patient cohort (n=10) confirmed that CD11cpos B cells were indeed significantly expanded in cGVHD (P < 0.01, Figure 1B), and revealed these B cells were also TACIpos, CD19high, forward scatter high (FSChigh) blast-like cells (Figure 1C). We found that these CD11cpos B cells had mixed expression of CD21, CD27, IgD and CD24 (Figure 1C). Remarkably, other recent studies on bulk patient B cells have suggested that similar CD11cposCD21negCD19highT-BETpos cells are critical drivers of humoral autoimmunity in diseases including systemic lupus erythematosus (SLE; Scharer et al. 2019; Rubtsova et al. 2017; Rubtsov et al. 2011). This subset now identified by single-cell RNA-Seq is consistent with a population of TACIhigh B cells that produced IgG in response to BAFF treatment ex vivo (Sarantopoulos 2009). Data suggest we have identified functionally distinct and potentially targetable B cell subpopulations. We are employing functional assays to determine whether the additional molecular pathways now elucidated account for our previous work showing greater ex vivo B cell survival rates and hyper-responsiveness to surrogate antigen (Allen et al. 2012, 2014), certain TLR agonists (Suthers et al. 2017), and NOTCH ligand (Poe et al. 2017). In addition to more deeply characterizing B-cell subsets in cGVHD, our single-cell RNA-Seq analyses identified several genes significantly altered across multiple B cell clusters in the cGVHD group, implicating more broad alterations of some genes in this disease. Among these is CKS2, a critical cell cycle regulator, which was significantly increased in cGVHD B cells (Padj 1.0e-10 to 0.018, depending on the cluster evaluated). Increased CKS2 expression was validated by qPCR analysis on B cells from a separate HCT patient cohort with or without cGVHD (P < 0.001, Figure 1D), suggesting that the majority of cGVHD B cells are primed to enter the cell cycle at multiple stages of differentiation when exposed to the proper stimuli. In summary, we used an unbiased approach to identify and further characterize an extrafollicular CD11cposTACIposCD19high B cell population in cGVHD patients that appears to be activated and undergoing active IgG isotype switching. This plasmablast-like B cell population is potentially amenable to therapeutic intervention to prevent pathogenic antibody production. Importantly, we also identify gene alterations across the cGVHD peripheral B cell compartment that potentially underpin promotion of hyperactivated B cells in this disease. Therapeutic strategies to target these pathways will also be discussed. This work was supported by a National Institutes of Health grant, R01HL129061. Disclosures Ho: Omeros Corporation: Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Research Funding; Jazz Pharmaceuticals: Consultancy. Horwitz:Abbvie Inc: Membership on an entity's Board of Directors or advisory committees. Rizzieri:Celgene, Gilead, Seattle Genetics, Stemline: Other: Speaker; AbbVie, Agios, AROG, Bayer, Celgene, Gilead, Jazz, Novartis, Pfizer, Sanofi, Seattle Genetics, Stemline, Teva: Other: Advisory Board; AROG, Bayer, Celgene, Celltron, Mustang, Pfizer, Seattle Genetics, Stemline: Consultancy; Stemline: Research Funding.

Determinants of preterm birth among mothers who gave birth at public hospitals in the Amhara region, Ethiopia: A case-control study.

BackgroundPreterm birth (PTB) is a public health issue worldwide. In developing nations, like Ethiopia, PTB is under reported and underestimated. However, it is the leading cause of neonatal and under-five mortality in Ethiopia. Besides, limited and non-comparative research studies to date has been conducted in the country to address the prevalence of PTB. Therefore, this study aims to determine predictors of PTB.MethodsHospital-based unmatched case control study was employed on a sample of 139 cases and 278 controls from October 2017 to December 2017 in the Amhara region, Ethiopia. The cases and controls were proportionally allocated in each hospital based on the last one-year case flows. As soon as a case was identified, the respective two controls were enrolled until the required sample size was satisfied. The outcome variable was measured by using either last menstrual period (LMP), early ultrasound result, or Ballard maturity examination. Face-to-face interviews were conducted using a standardized, structured, and pre-tested questionnaire to collect data. The collected data was entered into Epi-data and exported into SPSS for analysis. Independent variables with p-values < 0.25 in the bivariate analysis were entered into multivariable logistic regression models with forward logistic regressions method to control the influence of covariates. Ethical clearance was ensured.ResultsA total of 134 cases and 268 controls participated with a response rate of 96.4%. After adjusting for covariates, the following variables were associated with PTB: residing in rural areas [AOR = 2.99: 95% CI 1.19, 7.48], low maternal age [AOR = 3.47: 95% CI 1.11, 10.83], being illiterate [AOR = 4.56: 95% CI 1.11,8.62], short birth spacing [AOR = 2.48: 95% CI 1.07, 5.75], no antenatal care visits for this index pregnancy [AOR = 10.78: 95% CI 4.43, 26.25], having a history of previous adverse birth outcomes [AOR = 3.47: 95% CI 1.51, 8.02], and exposure to medical problems during pregnancy [AOR = 13.94: 95% CI 4.39, 24.27].ConclusionThe study revealed maternal sociodemographic factors, short birth space, lack of antenatal care, exposure to previous adverse birth outcomes and facing medical illnesses during pregnancy were the predictors of PTB. Therefore, inclusive preventive and control interventions should be developed at regional, zonal and district levels to reduce the burden of PTB among women resided in rural areas such as integrating antenatal care services into the existing health extension packages. Study results suggest increasing the awareness of PTB, contraceptive utilization and counseling to enhance birth spacing, antenatal care visits, and accessibility to services among women in Ethiopia should be given due attention. Health care providers should focus on mothers with previous adverse birth outcomes and those exposed to medical problems during pregnancy. Additional community based longitudinal studies supplemented with qualitative methods are recommended.

Interventions to improve disposal of child faeces for preventing diarrhoea and soil-transmitted helminth infection.

Interventions to improve disposal of child faeces for preventing diarrhoea and soil-transmitted helminth infection.

Impact of Lateral Terrestrial Water Flow on Land‐Atmosphere Interactions in the Heihe River Basin in China: Fully Coupled Modeling and Precipitation Recycling Analysis

AbstractLateral terrestrial water flow is usually not considered in regional climate modeling. This study focuses on the impact of increased hydrological model complexity for the description of the land‐atmosphere interactions in a complex terrain region. For this purpose, we apply the Weather Research and Forecasting (WRF) model with its hydrological modeling extension package WRF‐Hydro for the case of the Heihe River Basin in convection permitting atmospheric resolution (3 km). The Heihe River Basin (143,200 km2) is an arid‐semiarid inland river basin in Northwestern China. By comparing model simulations results with and without coupling for the period 2008–2010, the effect of lateral terrestrial water flow on land‐atmosphere interactions is evaluated with a joint atmospheric‐terrestrial water budget analysis, a regional precipitation recycling analysis and a fully three‐dimensional atmospheric moisture tracing method (evaporation tagging). The coupled modeling system WRF‐Hydro simulates near‐surface temperature and precipitation variability similar to the WRF model and demonstrates, in addition, its ability to reproduce daily streamflow. In the fully coupled mode, as a consequence of lateral terrestrial water flow description, the redistribution of infiltration excess in the mountainous area produces higher soil moisture content in the root zone, increases the terrestrial water storage and evapotranspiration, and decreases the total runoff. The resulting wetting and cooling in the near surface affects the regional climate by changing the regional water vapor transports and water vapor content, while, in turn, inducing precipitation differences. Overall, the fully coupled modeling increases the recycling rate, indicating that lateral terrestrial water flow influences regional climate in our study area.

FastJT: An R package for robust and efficient feature selection for machine learning and genome-wide association studies

BackgroundParametric feature selection methods for machine learning and association studies based on genetic data are not robust with respect to outliers or influential observations. While rank-based, distribution-free statistics offer a robust alternative to parametric methods, their practical utility can be limited, as they demand significant computational resources when analyzing high-dimensional data. For genetic studies that seek to identify variants, the hypothesis is constrained, since it is typically assumed that the effect of the genotype on the phenotype is monotone (e.g., an additive genetic effect). Similarly, predictors for machine learning applications may have natural ordering constraints. Cross-validation for feature selection in these high-dimensional contexts necessitates highly efficient computational algorithms for the robust evaluation of many features.ResultsWe have developed an R extension package, fastJT, for conducting genome-wide association studies and feature selection for machine learning using the Jonckheere-Terpstra statistic for constrained hypotheses. The kernel of the package features an efficient algorithm for calculating the statistics, replacing the pairwise comparison and counting processes with a data sorting and searching procedure, reducing computational complexity from O(n2) to O(n log(n)). The computational efficiency is demonstrated through extensive benchmarking, and example applications to real data are presented.ConclusionsfastJT is an open-source R extension package, applying the Jonckheere-Terpstra statistic for robust feature selection for machine learning and association studies. The package implements an efficient algorithm which leverages internal information among the samples to avoid unnecessary computations, and incorporates shared-memory parallel programming to further boost performance on multi-core machines.

Impact framework: A python package for writing data analysis workflows to interpret microbial physiology

Microorganisms can be genetically engineered to solve a range of challenges in diverse including health, environmental protection and sustainability. The natural complexity of biological systems makes this an iterative cycle, perturbing metabolism and making stepwise progress toward a desired phenotype through four major stages: design, build, test, and data interpretation. This cycle has been accelerated by advances in molecular biology (e.g. robust DNA synthesis and assembly techniques), liquid handling automation and scale-down characterization platforms, generating large heterogeneous data sets. Here, we present an extensible Python package for scientists and engineers working with large biological data sets to interpret, model, and visualize data: the IMPACT (Integrated Microbial Physiology: Analysis, Characterization and Translation) framework. Impact aims to ease the development of Python-based data analysis workflows for a range of stakeholders in the bioengineering process, offering open-source tools for data analysis, physiology characterization and translation to visualization. Using this framework, biologists and engineers can opt for reproducible and extensible programmatic data analysis workflows, mediating a bottleneck limiting the throughput of microbial engineering. The Impact framework is available at https://github.com/lmse/impact.

Predictors of neonatal mortality in Assosa zone, Western Ethiopia: a matched case control study

BackgroundBenshangul Gumuze region is one of the regional states in Ethiopia, with highest rate of neonatal mortality rate. The trend increased at alarming rate from 42/1000 live birth in 2005 to 62/ 1000 live birth in 2011. Hence, identifying predictors of neonatal death and implement evidence based interventions at community level is crucial to reduce the mortality. Therefore, the purpose of this study was to identify predictors of neonatal mortality in Assosa zone, Western Ethiopia.MethodsA community based matched case control study was conducted from February 1, until December 30, 2013. The study included 114 cases who died during the first 28 completed days after birth from September 1, 2010 till September 1, 2013. For each case, one alive control matched approximately by the same date of birth (−/+ 2 days) was identified from the preliminary data collected. Finally, multivariate conditional logistic regression analysis was performed; and goodness of fit of the final model was tested using likely hood ratio test. All analysis was done using EPI Info version 7 and SPSS version 16 statistical softwares.ResultsModel households in health extension packages [AmOR = 0.32; 95%CI:0.12–0.86], age at first pregnancy < 20 years old [AmOR = 4.3;95%CI: 1.13–16.27],pregnancy complication [AmOR = 4.59; 95%CI: 1.53–13.78], delivery complication [AmOR = 2.80; 95%CI: 1.06–7.39], antenatal care visit [AmOR = 0.34;95%CI: 0.12–0.94], primipara mothers [AmOR = 3.37; 95%CI:1.05–10.78], small size neonate at birth [AmOR = 3.40: 95%CI: 1.05–11.55], gestational age < 37 weeks [AmOR = 4.35;95%CI:1.16–16.28], and home delivery [AmOR = 2.84; 95%CI:1.07–7.55] were found statistically significantly associated with neonatal mortality.ConclusionsModel households in health extension package and antenatal care visit were associated with reducing risk of neonatal mortality. However, age at first pregnancy < 20 years old, primipara mothers, pregnancy complication, delivery complication, small size neonates, gestational age < 37 weeks, and home delivery were associated with increasing risk of neonatal death. Therefore, promotion of model household in health extension package, anti natal care visit, institutional delivery, family planning to prevent early age pregnancy; and improve access to basic emergency obstetric care and intensive newborn care centers are effective interventions to reduce risk of neonatal mortality at community level.

ESPResSo 4.0 – an extensible software package for simulating soft matter systems

ESPResSo 4.0 is an extensible simulation package for research on soft matter. This versatile molecular dynamics program was originally developed for coarse-grained simulations of charged systems Limbach et al., Comput. Phys. Commun. 174, 704 (2006). The scope of the software has since broadened considerably: ESPResSo can now be used to simulate systems with length scales spanning from the molecular to the colloidal. Examples include, self-propelled particles in active matter, membranes in biological systems, and the aggregation of soot particles in process engineering. ESPResSo also includes solvers for hydrodynamic and electrokinetic problems, both on the continuum and on the explicit particle level. Since our last description of version 3.1 Arnold et al., Meshfree Methods for Partial Differential Equations VI, Lect. Notes Comput. Sci. Eng. 89, 1 (2013), the software has undergone considerable restructuring. The biggest change is the replacement of the Tcl scripting interface with a much more powerful Python interface. In addition, many new simulation methods have been implemented. In this article, we highlight the changes and improvements made to the interface and code, as well as the new simulation techniques that enable a user of ESPResSo 4.0 to simulate physics that is at the forefront of soft matter research.

Effect of agrochemical related illness on technical efficiency of lowland rice farmers in Niger and Ogun states Nigeria

This study assessed the effect of agrochemical related illness on technical efficiency of lowland rice farmers in Niger and Ogun States of Nigeria. Multi-stage sampling technique was used to obtain primary data from a cross section of 304 rice farmers in both states through the use of questionnaire/interview guide. Data were analyzed through the use of descriptive statistics, cost of illness (COI) estimation, data envelopment analysis (DEA) and Tobit regression. The study revealed that cough was the most (58.10%) prevalent health symptom associated with the use of agrochemicals in the study area and that 46.70% of the rice farmers relied on self-medication. Also, the COI estimation revealed that a total of N4,273 was expended per treatment. The results of the DEA showed that rice farmers in the study area were technically inefficient with a mean score of 0.54, and this was influenced by age (𝛼 - 0.002, p < 0.05), sex (𝛼 - 0.243, p < 0.01), distance from home to farm (𝛼 - 0.007, p < 0.10), number of farm plots (𝛼 - −0.007, p < 0.10), cost of illness due to agrochemicals use (𝛼 - 5.510 p < 0.10), location (𝛼 - −0.298, p < 0.01), farm size (𝛼 - 0.112, p < 0.01), and use of fertilizer (𝛼 - 0.308, p < 0.01). The study concluded that farmers in the study area were exposed to agrochemical related illnesses and that the exposure influenced their technical efficiency negatively. The study, therefore, recommends the inclusion/enforcement of safety and health information pertaining to agrochemical use on extension packages. Also, policies on land reforms should be tailored towards reducing land fragmentation. Key words : treatment, cost, tobit, economic, application

Urban health extension service utilization and associated factors in the community of Gullele sub-city administration, Addis Ababa, Ethiopia

Background: In Addis Ababa, the capital of Ethiopia, the urban health extension program was started in 2009. Its approach is based on the assumption that access to and quality of primary health care in urban communities can be improved through transfer of health knowledge and skills to households. The study was conducted to assess the status of urban health extension service utilization and associated factors.Methods: A community based cross–sectional study was conducted to collect data from 628 participants. Sample size was determined by using a single population proportion formula. Binary logistic regression was used for data analysis.Results: The proportion of community utilization of the urban health extension program was found to be 86%. Respondents’ odds of utilizing urban health extension services among those who participated in the planning of urban health extension program activities were 2.8 (AOR=2.8; 95% CI: 1.43-3.70) times the odds of those who did not participate. The household respondents who utilized toilet with hand washing facilities had odds of utilizing urban health extension services that are higher by 2.62 (AOR=2.62 with 95% CI: 1.70-9.77) compared to those not utilizing toilet with hand washing facilities.Conclusions: The study provided important information regarding to the status of community utilization of urban health extension services. Respondents who utilized toilet with hand washing facilities were higher among the respondents who utilized and implemented the urban health extension packages. Respondents who participated in the planning of urban health extension program activities were those who significantly utilized and implemented the urban health extension program.

Talking health: trusted health messengers and effective ways of delivering health messages for rural mothers in Southwest Ethiopia

SummaryBackgroundAccess to trusted health information has contribution to improve maternal and child health outcomes. However, limited research to date has explored the perceptions of communities regarding credible messenger and messaging in rural Ethiopia. Therefore, this study aimed to explore sources of trusted maternal health information and preferences for the mode of delivery of health information in Jimma Zone, Ethiopia; to inform safe motherhood implementation research project interventions.MethodAn exploratory qualitative study was conducted in three districts of Jimma Zone, southwest of Ethiopia, in 2016. Twelve focus group discussions (FGDs) and twenty-four in-depth interviews (IDIs) were conducted among purposively selected study participants. FGDs and IDIs were conducted in the local language, and digital voice recordings were transcribed into English. All transcripts were read comprehensively, and a code book was developed to guide thematic analysis. Data were analyzed using Atlas.7.0.71 software.ResultStudy Participants identified as Health Extension Workers (HEWs) and Health Development Army (HDA) as trusted health messengers. Regarding communication channels, participants primarily favored face-to-face/interpersonal communication channels, followed by mass media and traditional approaches like community conversation, traditional songs and role play.In particular, the HEW home-to-home outreach program for health communication helped them to build trusting relationships with community members; However, HEWs felt the program was not adequately supported by the government.ConclusionHealth knowledge transfer success depends on trusted messengers and adaptable modes. The findings of this study suggest that HEWs are a credible messenger for health messaging in rural Ethiopia, especially when using an interpersonal message delivery approach. Therefore, government initiatives should strengthen the existing health extension packages by providing in-service and refresher training to health extension workers.

Brexit and the Future of UK Capitalism

Brexit and the Future of <scp>UK</scp> Capitalism

The applicability of pharmaceutical polymeric blends for the fused deposition modelling (FDM) 3D technique: Material considerations–printability–process modulation, with consecutive effects on in vitro release, stability and degradation

The three dimensional printing (3DP) in the pharmaceutical domain constitutes an alternative, innovative approach compared to the conventional production methods. Fused deposition modelling (FDM), is a simple, cost-effective 3DP technique, however the range of pharmaceutical excipients that can be applied for this methodology is restricted. The study set to define the requirements of the FDM printability, using as technical support custom made, pharmaceutical polymer based filaments and to evaluate if these new dosage forms can live up to the current GMP/GCP quality standards. Formulation rationale was assessed in accordance to the apparatus functionality. Blends were pre-screened based on the processability under the API (carvedilol) thermogravimetric analysis determined critical limit. The technological process implied the use of FDM coupled with hot melt extrusion (HME), while printability was defined by means of thermal, rheological and mechanical measurements. From the pharmaceutical standpoint, the consistency of the in vitro dissolution kinetics was monitored ‘at release’ and ‘in stability’, while the print process impact was evaluated based on the previously determined processability potential. Results showed that FDM printability is multifactorial, with brittleness and melt viscosity as primary limitation factors. The increase in shear-thinning and flexural modulus can enable broader processability intervals, which in turn proved to be essential in limiting degradation product formation. The 3DP tablets released the API in an extended rate, however the temperature and humidity along production and storage should be carefully considered as it may affect the final product quality in time. In conclusion, HME + FDM can be considered as an alternative production methodology, with prospects of applicability in the clinical sector, however for some formulations extensive packaging development will be necessary before confirming their suitability.

SimInf: An R Package for Data-Driven Stochastic Disease Spread Simulations

We present the R package SimInf which provides an efficient and very flexible framework to conduct data-driven epidemiological modeling in realistic large scale disease spread simulations. The framework integrates infection dynamics in subpopulations as continuous-time Markov chains using the Gillespie stochastic simulation algorithm and incorporates available data such as births, deaths and movements as scheduled events at predefined time-points. Using C code for the numerical solvers and OpenMP to divide work over multiple processors ensures high performance when simulating a sample outcome. One of our design goal was to make SimInf extendable and enable usage of the numerical solvers from other R extension packages in order to facilitate complex epidemiological research. In this paper, we provide a technical description of the framework and demonstrate its use on some basic examples. We also discuss how to specify and extend the framework with user-defined models.

Modeling Biological Complexes Using Integrative Modeling Platform.

Integrative structure modeling provides 3D models of macromolecular systems that are based on information from multiple types of experiments, physical principles, statistical inferences, and prior structural models. Here, we provide a hands-on realistic example of integrative structure modeling of the quaternary structure of the actin, tropomyosin, and gelsolin protein assembly based on electron microscopy, solution X-ray scattering, and chemical crosslinking data for the complex as well as excluded volume, sequence connectivity, and rigid atomic X-ray structures of the individual subunits. We follow the general four-stage process for integrative modeling, including gathering the input information, converting the input information into a representation of the system and a scoring function, sampling alternative model configurations guided by the scoring function, and analyzing the results. The computational aspects of this approach are implemented in our open-source Integrative Modeling Platform (IMP), a comprehensive and extensible software package for integrative modeling ( https://integrativemodeling.org ). In particular, we rely on the Python Modeling Interface (PMI) module of IMP that provides facile mixing and matching of macromolecular representations, restraints based on different types of information, sampling algorithms, and analysis including validations of the input data and output models. Finally, we also outline how to deposit an integrative structure and corresponding experimental data into PDB-Dev, the nascent worldwide Protein Data Bank (wwPDB) resource for archiving and disseminating integrative structures ( https://pdb-dev.wwpdb.org ). The example application provides a starting point for a user interested in using IMP for integrative modeling of other biomolecular systems.

I hope that one day Ukraine will become part of the European Family where it rightfully belongs

The article describes the cooperation between Norway and Ukraine, particularly the activities of the Embassy of the Kingdom of Norway to Ukraine. It is mentioned that Norway established diplomatic relations with Ukraine on 5 February 1992, and in December 1992, the Embassy of Norway to Ukraine started its operation. Mention is made that Norway remains one of the consistent advocates of the sovereignty, independence, and territorial integrity of Ukraine. Norway has condemned the Russian aggression in the east of Ukraine, the occupation and annexation of the Crimean peninsula, which violated international legal norms. For the purposes of monitoring the course of the conflict via the OSCE Special Monitoring Mission, 15 Norwegians are involved, most of them engaged into operational activities near the contact line. Ukraine and Norway have forged close political contacts. Thus, the Prime Minister of Norway visited Kyiv in 2014, and the President of Ukraine reciprocated by visiting Oslo in October 2016. The article also considers an extensive aid package for Ukraine amounting to almost €20 million annually, a quarter of which has been allocated for humanitarian projects in the east of Ukraine, while the other 15 million have been spent for projects in the following realms: energy efficiency, rule of law, proper public management as well as the accomplishment of European integration and implementation of European standards. Besides, health protection will soon be added to this list. It is stated the volume of Norwegian export is experiencing a period of growth. Norwegian seafood and fish are in high demand among Ukrainians. Another equally important sphere of cooperation is culture. Mr Ambassador mentions that he has been in Ukraine for three years and has fallen deeply in love with it, not only because of beautiful landscapes but friendly, hospitable, smiling, and forward-looking people. Individualism is the feature that unites Norwegians and Ukrainians. The Ambassador expresses the hope to organise direct flights from Kyiv to Oslo to give impetus to tourism and streamline networking. His Excellency also dreams of the fulfillment of Ukraine’s aspirations and wishes that it took a rightful place among European nations, a fond wish of Ukrainians. Key words: Norway, cooperation, support package, exports, culture, diplomat’s experience.

Implementation of an IoT- and Cloud-based Digital Twin for Real-Time Decision Support in Port Operations

Seaborne trade volumes are growing and the resulting traffic load on the road infrastructure in port areas calls for new solutions to improve handling and coordination of vehicles and shipments. In this contribution, a digital twin for truck dispatching operator assistance is presented, which enables the determination of optimal dispatching policies using simulation-based performance forecasts. Proprietary simulation software with limited interfaces, the application deployment in demanding industrial environments, and the integration of real-time sensor information represent three major challenges when realizing digital twin applications for logistics systems. This implementation, therefore, uses an extensible open-source simulation package and it is coupled with an IoT-platform for easy integration of real-time information. The digital twin is deployed as a cloud-based service, allowing for simple deployment and scalability.

Method of adaptive current protection against earth faults in 6–10 kV cable networks with an insulated neutral

Simple and reliable zero sequence overcurrent protection in distribution 6–10 kV cable networks with an insulated neutral is most widely used for protection against single phase earth faults. However, protection of this type in many cases does not provide the required sensitivity to internal (inside the protected zone) faults as it must be tuned to the response current from surge transients during external faults through an intermittent arc. It is possible to increase the sensitivity if adaptive current protection is applied. However, the known methods for its implementation are only effective for stable faults through transient resistance but do not provide high dynamic stability of operation in transient conditions in case of arc intermittent earth faults that are the most dangerous for the network. Therefore, an urgent problem to be solved now is improving the principles of adaptive current protection against earth faults. To compare the efficiency of the known and proposed principles of adaptive current protection implementation taking into account the complexity of transients during earth faults through an intermittent arc in 6–10 kV cable networks, we used Matlab simulation with the SimPowerSystem and Simulink extension packages. The research into the operation algorithms of adaptive current protection against earth faults was carried out on simulation models of 6–10 kV cable networks with an insulated neutral and with neutral grounding through a high-value resistor. The studies on the simulation models have shown that the known methods of implementation of adaptive current protection against earth faults based on the use of full zero sequence currents and voltage are ineffective during intermittent arc earth faults. The authors propose a method of adaptive current protection against earth faults in 6–10 kV cable networks with an insulated neutral and with neutral grounding through a high-value resistor that provides a significant increase in dynamic stability of transient operation with arc ground faults and allows using only zero sequence current and voltage components of the operating frequency of 50 Hz as the actuating quantities. The proposed method of implementing adaptive current protection against earth faults in 6–10 kV cable networks with an insulated neutral and with neutral grounding through a high-value resistor does not only increase the sensitivity of this protection type to earth faults through transient resistence and dynamic stability of operation in transient condiitons in case of arc intermittent earth faults but also broadens the range of its possible applications

Simulation Modelling of an Algorithm for Protection from Skidding and Wheel Locking of Wheel Pairs of Electric Rolling Stock

Modern electric rolling stock is equipped with a microprocessor control system of the traction electric drive and smooth contactless voltage regulation on traction motors. It allows implementing a flexible skidding (wheel locking) algorithm of protection. Untimely detection and location of skidding (wheel locking) processes leads to a decrease of the traction (braking) forces, damage to the wheel motor unit, and increased wear of wheels and rails. The simulation model of the electric rolling stock with the rotational-motor electric drive and smooth zone-phase voltage regulation on the traction electric motor was developed. Analysis of the algorithms for protection from skidding and wheel locking in the mode of traction and regenerative braking was made with the help of the above model. The model contains blocks of the MATLAB system and Simulink extension package: traction transformer blocks, traction motor blocks, digital automatic control system of the traction electric drive, current and voltage sensors, and an output module of the modelling results. Skidding (wheel locking) algorithms for protection from skidding (wheel locking) were considered. Their location is a result of the reduction of the armature current of the traction motors with the skidding (wheel–locking) wheel set. In the traction mode, the reduction of the armature current takes place due to the impact on the armature current regulator of the traction electrical motors, and in the mode of the regenerative braking on the exiting current regulator of the traction motors group with the wheel locking wheel set. The considered protective algorithms enable effective localization of the skidding (wheel locking) processes with a minimum loss of the traction (braking) forces.