In Theory: Nine Degrees of Uncertainty in Negotiations

Joint decision-making processes such as negotiations play a vital role in diverse societal contexts spanning from business and politics to sustainability-related negotiations. One of the most prominent examples of how negotiations play an important role in overcoming societal challenges was the COVID-19 vaccine supply negotiations. These negotiations have put the spotlight on an aspect of joint decision-making that always has been of great interest to both negotiation researchers and practitioners yet remains empirically understudied- the effect of uncertainty. In the present article, we develop a framework of uncertainty in negotiation using the COVID-19 vaccine supply negotiations between the European Union and pharmaceutical companies as an example. More specifically, we categorize different kinds of uncertainty based both on mathematical considerations (i.e., differentiation between risk, ambiguity, and uncertainty) as well as on more circumstantial factors. To do so, we adapted the nine kinds of uncertainty in environmental governance proposed by Dewulf and Biesbroek to the more general context of negotiations. We first differentiate between three natures of uncertainty (i.e., lack of knowledge, unpredictability, and interpretations) and three objects of uncertainty (i.e., issue- based, strategy- based, and context- based). Second, we illustrate the psychological barriers that negotiators face when handling uncertainty, before concluding with proposals for practitioners on how to manage different kinds of uncertainty. Overall, we aim at stimulating investigations of the effects of uncertainty in mixed- motive decision- making while simultaneously helping negotiation teachers and practitioners better cope with the additional demands created by specific kinds of uncertainty.

Leveraging an essentials and extension assessment and evaluation model to differentiate in pandemic learning

Teachers at Riverview High School (RHS) in Anglophone East School District, New Brunswick in Canada, have worked as professional learning community teams to establish a new paradigm of assessment and evaluation during the pandemic outbreak. The Essentials and Extension Model of Assessment and Evaluation has successfully been adapted to courses across grades and disciplines to provide support to struggling students and personalized learning opportunities for all students. This model was well established at RHS when schools were closed for the remainder of the 2020 school year due to COVID-19. When teachers and students were required to transition to a remote learning environment, this model facilitated that transition at RHS. This chapter gives an overview of the literature behind the model, a description of the system, and the effects of the model on student learning. © Springer Nature Switzerland AG 2021. All rights reserved.

Demand on Digital Skills in Russia: Regional Differences

This paper examines regional differences in the demand for digital skills based on an analysis of 9 million vacancies posted on the Unified Digital Platform ‘Work in Russia' in 2018–2022. We examine approaches used in the literature to classify digital skills and using it develop our own classification. The paper studies the advantages and limitations of various indicators of the demand for digital skills. We suggest that the ratio between the share of vacancies requiring digital skills of a certain group in the region and the labor force population should be used as the most appropriate one. The results of the study show that in Russia there is still a significant regional differentiation in the employer's demand for all selected groups. Differentiation increased with the beginning of the COVID-19 pandemic, and decreased slightly in 2021–2022. We reveal that regions with a higher level of economic development have higher requirements for digital skills. Digital skills are more often required in regions specialized on primary production and less often in agricultural regions. Of the federal districts, a slightly higher level of demand for digital skills is observed in the Ural and Far Eastern federal districts, while a significantly lower level is observed in the North Caucasus federal district. © 2023 Spatial Economics. All rights reserved.

Trace Elements Zinc and Selenium: Their Significance in the Conditions of the Covid-19 Pandemic

Within the conditions of the ongoing COVID-19 pandemic, when many questions regarding prevention and treatment strategies remain unsolved and the search for the best antiviral agents is underway, attention should be paid to the role of trace elements zinc and selenium in increasing the body's resistance to viral infections and their direct antiviral activity against SARS-CoV-2. Experimental data show that trace elements zinc and selenium not only actthrough regulating the immune response at all levels of humoral and cellular immunity, but also can play a significant role in adjuvant therapy for viral diseases. This is especially relevant in the case of COVID-19. Studies of the direct antiviral effect of these micro-elements testify to its 3 main ways to SARS-Cov-2: I - counteraction to virus replication and its transcription through: (i) their covalent binding to the SH-group of the cysteine of the main protease M(Pro) of the virus;(ii) inhibition of its RNA polymerase activity by zinc;II - preventing the penetration of the virus into cells due to blocking SH-groups of protein disulfide isomerase (RDI) of the protein of its spikes (peplomers);III - decreasing the adsorption capacity of the virus due to the blocking of the electrostatic interaction of SARS-CoV-2 peplomers and angiotensin-converting enzyme (ACE-2) in ultra-low, uncharacteristic oxidation states (Zn+1and Se-2). The intensity of the antiviral action of these trace elements may depend on their chemical form. It was found that zinc citrate (a five-membered complex of zinc with citric acid) and monoselenium citric acid obtained with the help of nanotechnology have a greater intensity of action and higher chemical purity. Taking into account the immunostimulating and direct antiviral effect of zinc and selenium, their use in the form of pharmaceuticals and dietary supplements should be considered as adjunctive therapy for SARS-CoV-2 in patients, or as a preventive strategy for uninfected people from risk groups during the spread of COVID-19.Copyright © Publisher PH <<Akademperiodyka>> of the NAS of Ukraine, 2023.

Exploration of potential mechanism of SARS-CoV-2 induced immune inflammatory response leading to progression of atherosclerosis and prediction of traditional Chinese medicine for preventing and treating based on bioinformatics.

Objective To explore the core targets and important pathways of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) induced atherosclerosis (AS) progression from the perspective of immune inflammation, so as to predict the potential prevention and treatment of traditional Chinese medicine (TCM). Methods Microarray data were obtained from the Gene Expression Omnibus (GEO) database for coronavirus disease 2019 (COVID-19) patients and AS patients, and the "limmar" and "Venn" packages were used to screen out the common differentially expressed genes (DEGs) genes in both diseases. The gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) analyses were performed on the common DEGs to annotate their functions and important pathways. The two gene sets were scored for immune cells and immune function to assess the level of immune cell infiltration. The protein-protein interaction (PPI) network was constructed by STRING database, and the CytoHubba plug-in of Cytoscape was used to identify the hub genes. Two external validation datasets were introduced to validate the hub genes and obtain the core genes. Immuno-infiltration analysis and gene set enrichment analysis (GSEA) were performed on the core genes respectively. Finally the potential TCM regulating the core genes were predicted by Coremine Medical database. Results A total of 7898 genes related to COVID-19, 471 genes related to AS progression;And 51 common DEGs, including 32 highly expressed genes and 19 low expressed genes were obtained. GO and KEGG analysis showed that common DEGs, which were mainly localized in cypermethrin-encapsulated vesicles, platelet alpha particles, phagocytic vesicle membranes and vesicles, were involved in many biological processes such as myeloid differentiation factor 88 (MyD88)-dependent Toll-like receptor signaling pathway transduction, interleukin-8 (IL-8) production and positive regulation, IL-6 production and positive regulation to play a role in regulating nicotinamide adenine dinucleotide phosphate oxidase activity, Toll-like receptor binding and lipopeptide and glycosaminoglycan binding through many biological pathways, including Toll-like receptor signaling pathways, neutrophil extracellular trap formation, complement and coagulation cascade reactions. The results of immune infiltration analysis demonstrated the state of immune microenvironment of COVID-19 and AS. A total of 5 hub genes were obtained after screening, among which Toll-like receptor 2 (TLR2), cluster of differentiation 163 (CD163) and complement C1q subcomponent subunit B (C1QB) genes passed external validation as core genes. The core genes showed strong correlation with immune process and inflammatory response in both immune infiltration analysis and GSEA enrichment analysis. A total of 35 TCMs, including Chuanxiong (Chuanxiong Rhizoma), Taoren (Persicae Semen), Danggui (Angelicae Sinensis Radix), Huangqin (Scutellariae Radix), Pugongying (Taraxaci Herba), Taizishen (Pseudostellariae Radix), Huangjing (Polygonati Rhizoma), could be used as potential therapeutic agents. Conclusion TLR2, CD163 and C1QB were the core molecules of SARS-CoV-2-mediated immune inflammatory response promoting AS progression, and targeting predicted herbs were potential drugs to slow down AS progression in COVID-19 patients.Copyright © 2023 Editorial Office of Chinese Traditional and Herbal Drugs. All rights reserved.

Krisenspezifische Solidarität. Der Stellenwert wohlfahrtstaatlicher Solidarität in Krisenzeiten

In diesem Beitrag wird der krisenspezifische Einfluss der Covid-19-Pandemie auf wohlfahrtsstaatliche Solidarität während der ersten Infektionswelle und des ersten Lockdowns von März bis Mai 2020 untersucht. Wir verknüpfen dabei ein wohlfahrtsstaatssoziologisches Verständnis von Solidarität mit katastrophensoziologischen Überlegungen zu krisenspezifischer Solidarität und einer differenzierungstheoretischen Sichtweise auf Institutionenwandel. Mittels einer strukturierenden Inhaltsanalyse der Bundestagsplenarprotokolle wird ein innerparlamentarischer Solidarisierungsdruck nachgezeichnet, der zu einer krisenspezifischen Vergemeinschaftung führt. Durch die qualitative Analyse der Parlamentsdebatten verdeutlichen wir zudem die temporäre Begrenzung dieses Zusammenhangs, der nach erfolgreicher Rekonstitution einer gemeinsamen normativen Basis der Parlamentsmitglieder die Wiederaufnahme von parteipolitischen Solidaritätskonflikten erst ermöglichte. Auf einer weiteren Ebene arbeiten wir die Stabilisierungsfunktion von wohlfahrtsstaatlicher Solidarität als abstrakter normativer Leitidee heraus, die auch in konflikthaften Aushandlungen von sozialpolitischen Maßnahmen ihre Wirkung entfaltet.Alternate :This paper examines the crisis-specific impact of the Covid 19 pandemic on welfare state solidarity during the first wave of infection and the first lockdown from March to May 2020. We combine a sociological understanding of solidarity in the context of the welfare state with sociological reflections on crisis-specific solidarity and a differentiation-theoretical perspective on institutional change. By means of a structuring content analysis of the Bundestagsplenarprotokolle, an intra-parliamentary solidarity pressure is traced that leads to crisis-specific Vergemeinschaftung. Through the qualitative analysis of the parliamentary debates, we also clarify the temporary limitation of this connection, which made the resumption of party-political solidarity conflicts possible in the first place after the successful reconstitution of a common normative basis of the members of parliament. On a further level, we elaborate the stabilizing function of welfare state solidarity as an normative guiding idea (Leitidee), which also exerts its effect in conflictual negotiations of social policy measures.

The Effect of FOXP3+Regulatory T Cells on Infectious and Inflammatory Diseases

CD4+CD25+FOXP3+regulatory T cells (Tregs) contribute to the maintenance of immune homeostasis and tolerance in the body. The expression levels and functional stability of FOXP3 control the function and plasticity of Tregs. Tregs critically impact infectious diseases, especially by regulating the threshold of immune responses to pathogenic microorganisms. The functional regulatory mechanism and cell-specific surface markers of Tregs in different tissues and inflammatory microenvironments have been investigated in depth, which can provide novel ideas and strategies for immunotherapies targeting infectious diseases.Copyright © 2021. All rights reserved.

A NEW FLOW-BASED MODEL OF END-TO-END INTEGRATION IN PREMIUM PRODUCT SUPPLY CHAINS

Gedryf deur die totale koste van eienaarskap, handel en tegnologiemededinging tussen die Verenigde State van Amerika en China, en die COVID-19-pandemie, ondergaan wereldwye voorsieningskettings 'n groot herstrukturering wat binnekort die besigheid en ekonomie oor die hele wereld sal transformeer. Onlangs het voorsieningskettings met end-totend-integrasie vir premium landbouvoedselprodukte as 'n nuwe sakemodel na vore gekom. Hierdie artikel ondersoek hoe hulle moet funksioneer, en identifiseer die voorsieningskettingstruktuur / - produksie / - besigheids toestande wat nodig is vir hul ontwikkeling. Ons bestudeer 'n premium voorsieningsketting wat bestaan uit baie klein plase wat piesangs van topgehalte produseer, een integreerfirma en duisende kleinhandelwinkels. Ons gebruik industrie- en besigheidsdata om 'n meervoudige roete-vloei-gebaseerde model te kalibreer van plase tot integreerder tot kleinhandelaars/markte. Ons gebruik dan sensitiwiteitsanalise om die belanghebbendes se besluitgedrag te analiseer, en identifiseer en bespreek drie hoofbesluitkwessies: kontrakboerdery, kapasiteitstrategie en besigheidsrobuustheid. Vir kontrakspesifikasie is kontraktering op prys, eerder as hoeveelheid, bevorderlik om die belange van die belanghebbendes te koördineer. Vir die kapasiteitstrategie moet die integreerder rou produkte van baie klein plase verkry eerder as minder groot plase. Vir besigheid se robuustheid kan die integreerder steeds robuuste winste verseker deur sy produkaanbod te reguleer wanneer nuwe mededingers ontstaan of vraag verander. Hierdie resultate word onder verskeie scenario's getoets om die impak van insetparameters of voorsieningskettingstruktuur te bepaal, en word geverifieer met 'n bedryfspraktisyn wat ondervinding het met veelvuldige premium agri-voedselprodukte. Die resultate, tesame met die vloeimodel en sy berekeningsprosedure, kan deur voorsieningskettingbeplanners gebruik word om nuwe besighede te begin of om kleinhandelaars se premium produkaanbiedinge in mededingende besigheidsomgewings te onderskei.Alternate :Driven by the total cost of ownership, US-China trade and technology competition, and the COVID-19 pandemic, global supply chains are undergoing a major restructuring that will soon transform business and economics all over the world. Recently, supply chains with end-to-end integration for premium agri-food products have emerged as a new business model. This paper examines how they should function, and identifies the supply chain structure/production/business conditions necessary for their development. We study a premium supply chain consisting of many small farms that produce top-quality bananas, one integrator firm, and thousands of retail stores. We use industry and business data to calibrate a multiple-route flow-based model from farms to integrator to retailers/markets. We then use sensitivity analysis to illuminate the stakeholders' decision behaviour, and identify and discuss three main decision issues: contract farming, capacity strategy, and business robustness. For contract specification, contracting on price rather than quantity is conducive to coordinating the interests of the stakeholders. For the capacity strategy, the integrator should source raw products from many small farms rather than fewer large farms. For business robustness, the integrator could still ensure robust profits by regulating its product supply when new competitors arise or demand changes. These results are tested under various scenarios to determine the impact of input parameters or supply chain structure, and are verified with an industry practitioner who has experience with multiple premium agri-food products. The results, along with the flow model and its computation procedure, could be used by supply chain planners to start new businesses or to differentiate retailers' premium product offerings in competitive business environments.

Monocyte Differentiation and Heterogeneity: Inter-Subset and Interindividual Differences.

The three subsets of human monocytes, classical, intermediate, and nonclassical, show phenotypic heterogeneity, particularly in their expression of CD14 and CD16. This has enabled researchers to delve into the functions of each subset in the steady state as well as in disease. Studies have revealed that monocyte heterogeneity is multi-dimensional. In addition, that their phenotype and function differ between subsets is well established. However, it is becoming evident that heterogeneity also exists within each subset, between health and disease (current or past) states, and even between individuals. This realisation casts long shadows, impacting how we identify and classify the subsets, the functions we assign to them, and how they are examined for alterations in disease. Perhaps the most fascinating is evidence that, even in relative health, interindividual differences in monocyte subsets exist. It is proposed that the individual's microenvironment could cause long-lasting or irreversible changes to monocyte precursors that echo to monocytes and through to their derived macrophages. Here, we will discuss the types of heterogeneity recognised in monocytes, the implications of these for monocyte research, and most importantly, the relevance of this heterogeneity for health and disease.

The sense of taste: Development, regeneration, and dysfunction.

Gustation or the sense of taste is a primary sense, which functions as a gatekeeper for substances that enter the body. Animals, including humans, ingest foods that contain appetitive taste stimuli, including those that have sweet, moderately salty and umami (glutamate) components, and tend to avoid bitter-tasting items, as many bitter compounds are toxic. Taste is mediated by clusters of heterogeneous taste receptors cells (TRCs) organized as taste buds on the tongue, and these convey taste information from the oral cavity to higher order brain centers via the gustatory sensory neurons of the seventh and ninth cranial ganglia. One remarkable aspect of taste is that taste perception is mostly uninterrupted throughout life yet TRCs within buds are constantly renewed; every 1-2 months all taste cells have been steadily replaced. In the past decades we have learned a substantial amount about the cellular and molecular regulation of taste bud cell renewal, and how taste buds are initially established during embryogenesis. Here I review more recent findings pertaining to taste development and regeneration, as well as discuss potential mechanisms underlying taste dysfunction that often occurs with disease or its treatment. This article is categorized under: Infectious Diseases > Stem Cells and Development Cancer > Stem Cells and Development Neurological Diseases > Stem Cells and Development.

IgM Multiple Myeloma Presenting With Diarrhea

Introduction: IgM Multiple Myeloma (MM) is a rare subtype of MM consisting of <1% cases of MM. It is distinguished from Waldenstrom Macroglobinemia, which also produces IgM, by the absence of somatic mutation MYD88. We present a patient with a chief complaint of diarrhea which unknowingly led to his hematological diagnosis Case Description/Methods: A 64 year old male with RA-SLE overlap syndrome on steroids, and recent COVID19 pneumonia, had presented with 5 episodes of watery diarrhea every day and 40 Ib weight loss within 2 months. CT revealed small bowel enteritis and stool studies, including C. diff, cultures, ova and parasites were negative. Diarrhea persisted despite antibiotics, therefore an EGD and Colonoscopy were performed which showed duodenal lymphangiectasia and a normal colon. Duodenal biopsy revealed eosinophilic deposits in the villous lamina propria which stained for IgM and stained negative under congo red ruling out amyloidosis. SPEP and a bone marrow biopsy revealed monoclonal IgMspikes and plasma cells in the bone marrow suggesting MMalong with a co-existing population of CLL. Next-generation sequencing was negative forMYD88, supporting IgM MM instead of Waldenstrom. He developed a protein-losing enteropathy with dramatic hypoalbuminemia (albumin 0.9) and lower extremity edema and DVTs. He was started on chemotherapy and frequent albumin infusions. His diarrhea completely resolved, however not in time, as his other medical comorbidities lagged behind and he developed anasarca and continued to deteriorate. Discussion(s): Plasma cell dyscrasias such as IgM MM or more commonly Waldenstrom have rarely been reported to cause GI symptoms. GI involvement can include direct GI infiltration of plasma cells, IgM deposition, or the finding of a plasmacytoma. It has been speculated that IgM deposits can lead to interstitial viscosity and obstructive lymphangiectasia leading to diarrhea and a protein-losing enteropathy as in our patient. Protein loss has led him to have hypoalbuminemia and possibly loss of antithrombotic proteins that have caused DVTs. Few case reports have suggested that treating the underlying cause with chemotherapy stops diarrhea entirely. Although our patient's diarrhea ceased, we believe that it was not in time for him to entirely recover from the later complications of the disease. We hope that this case can help clinicians to attempt prompt treatment of patients when they find GI specimens showing IgM deposits and they suspect a plasma cell dyscrasia.

Lessons in Financial Governance from Bowen's Family Systems Model

All organizations are social systems. The family is the first social system to which each person belongs. A business organization is also such a system. Family theorists describe family relationships and use this understanding to help families to improve their functioning. These insights can also be applied to business organizations and their governance. The present paper uses Bowen's family systems theory to understand financial governance and governance relationships. Bowen's eight concepts of family systems are triangles, differentiation of self, nuclear family emotional process, family projection process, multigenerational transmission process, emotional cutoff, sibling position, and societal-emotional process. These concepts are discussed in light of how financial information is shared in a business, how board composition affects the oversight of financial operations, how leadership balances financial and operational demands, and how the social interactions within the business interplay with the macro social-industrial environment. For example, a well-functioning family helps a family member develop into an independent adult. Likewise, the effective business leader enables the financial department to develop autonomy, allowing that department to provide meaningful, objective information for business decisions. When this does not occur, problems can arise which affects family stability and business efficiency. Suggestions for further research are offered. In particular, the connection between family theories and agency and social models of governance is explored. The models also are relevant to notions of who are the business's stakeholders. The overlap between business systems and family systems which has become more evident during the COVID-19 pandemic speaks to the relevance of the concepts in this paper to future research and business planning. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Novice kindergarten and elementary teachers' lived experience with math content and instruction

Math proficiency in the elementary grades is one component to ensuring a highly qualified science, math, engineering, and technology workforce. The literature indicates that teachers of those early years greatly impact their students' future attitudes and abilities in the STEM fields. Therefore, it is critical that administrators, teacher education programs, and policymakers implement procedures to prepare and empower preservice teachers. This hermeneutic phenomenology focused on novice teachers' impressions of their preparedness regarding kindergarten and elementary math content and pedagogy. Ten teachers answered questions about their past educational experiences, their current teaching position, and strategies for addressing challenges. Unfamiliar curriculum and gaps in basic student knowledge were two of the difficulties that the teachers mentioned. They faced these issues through differentiation, collaboration, and self-reflection. Collaborating with a mentor or colleagues allowed these novice teachers to glean resources and strategies that helped them navigate elementary math content and pedagogy. In addition, this study revealed the influence that the teachers' resilience had on their ability to maneuver the difficulties inherent in the first two years as a classroom teacher. The impact of attending a faith-based university, the influence of middle-school math teachers, resilience in kindergarten through elementary teachers, and managing the consequences of Covid-19 restrictions in schools warrant further study as they relate to math content and instruction in kindergarten through fifth-grade mathematics. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Multi-scale Mechanisms of Maxing Shigantang in Treating Pneumonia Based on Transcriptomic Data.

Objective: Pneumonia is an infectious inflammation of the alveoli,distal airway,and interstitium caused by bacterial,viral,and other pathogens. Maxing Shigantang,originated from Treatise On Cold Damage Diseases,is a classic prescription for treating pneumonia,with significant clinical efficacy. However,its treatment mechanism is still elusive. Method(s): In that paper,the transcriptome-based multi-scale network pharmacology was used to reveal the overall pharmacological mechanism of Maxing Shigantang in treating pneumonia from six scales of tissue,cell,pathological process,biological process,signaling pathway, and target. Result(s):At the tissue level,Maxing Shigantang mainly acted on the focal tissue of pneumonia-lung and the main inflammatory immune tissues-blood and spleen. Analysis of cell,pathological process and biological process suggested that Maxing Shigantang could treat pneumonia by reversing inflammatory and immune functions and improving cardiopulmonary and vascular injury caused by pneumonia. Analysis of signaling pathway and target showed that Maxing Shigantang regulated inflammatory immune response pathways such as "coronavirus disease-COVID-19" and "Toll-like receptor signaling pathway",and related targets such as "MAPKAPK3" and "NRG1". Conclusion(s):This paper,from molecular to tissue levels,indicated Maxing Shigantang treated pneumonia mainly by regulating inflammatory immune response and improving cardiopulmonary and vascular injury.Copyright © 2023, China Academy of Chinese Medical Sciences Institute of Chinese Materia Medica. All rights reserved.

On the role of innovation and market structure on trade performance: is Schumpeter right?

PurposeThe goal of the paper is to examine the dynamics between innovation, market structure and trade performance. Firstly, the author first investigates the effects of innovation on trade performance. Secondly, the author then examines how market structure affect trade by classifying industries based on their innovation intensity.Design/methodology/approachThe author uses a detailed level data set of eight OECD countries in a panel of 17 industries from the STAN and ANBERD Database. The author employs both a pooled regression and a two-stage quantile regression analysis. The author first investigates the effects of innovation at the aggregate level, and then the author assesses the effects at the disaggregated or firm level.FindingsThe author finds that at the aggregate level, innovation and market size have a positive and significant effect on competitivity in most of the specifications. However, innovation is negatively associated with trade performance in the case of bilateral trade between Spain and the Netherlands. Also, the sectoral analysis provides evidence that the innovation-trade nexus depends on technological classification. The author shows that: (1) the effect of innovation activity on trade performance economic performance is lower for the high technology and high concentration (HTHC) market compared to the low technology (LT) market;(2) the impact of innovation on economic performance is ambiguous for firms in the high technology and low concentration (HTLC) market.Research limitations/implicationsAlthough the database provides a rich data set on industrial data, it fails to provide innovation output such as patent data which may underestimate the innovation activities of firms that do not have a separate R&D records. In the current context of subdue economic growth these research results have important policy implications. Firstly, the positive impact of innovation on trade performance strengthens its role for sustainable development. The negative coefficient on innovation is an indication that research intensity in some cases has not been able to create a new demand capable to boost economic performance.Practical implicationsThe market classification analysis provides new evidence that innovation in the LT market has the potential to enhance competition. Secondly, market size supports industries that are competing in the international market. Policy makers must therefore put in place incentives to encourage firms to grow in size if they want to remain globally competitive.Social implicationsSustainable development can be supported through investment in research and development in the low technology sector.Originality/valueThe study is the first as far as the author knows, to examine the impact of innovation on bilateral trade performance using industry level data from OECD countries. Secondly, the author complements the existing literature by examining how innovation activities (classified as high technological intensive or low technological intensive) affect trade performance.

Robust, efficient workflow to establish, culture, and functionally assess primary-isolated airway epithelial cells

Background: Air-liquid interface (ALI) and organoid culture are key techniques for differentiating human airway epithelial cells (HAECs). The efficiency and robustness of these assays often depends on the quality of primary-isolated cells, but primary cell isolation workflows, with which the user controls the choice of isolation method, cell culture medium, and culture format, may reduce reproducibility. Therefore, an optimized, standardized workflow can enhance and support isolation of epithelial cells from diseased donors with potentially rare cystic fibrosis (CF) mutations or particularly sensitive cell populations. We have developed a standardized workflow for isolation and culture of freshly derived airway epithelial cells. Method(s): Briefly, HAECs isolated from primary tissue were expanded in PneumaCult-Ex Plus Medium for 1 week and then seeded into Corning Transwell inserts and expanded until confluency. The cells were then differentiated in PneumaCult-ALI Medium for at least 4 weeks. To assess differentiation efficiency in ALI culture, the cells were immunostained to detect Muc5AC, acetylated tubulin, and ZO-1 to identify goblet cells, ciliated cells, and apical tight junctions, respectively, aswell as SARS-CoV-2 cell entry targets angiotensin-converting enzyme 2 and transmembrane serine protease 2. Ion transport and barrier function of the ALI culturesand response to CF transmembrane conductance regulator (CFTR) correctors were also measured. In addition, freshly derived HAECs were seeded into Corning Matrigel domes in the presence of PneumaCult Airway Organoid Seeding Medium. Oneweek later, the mediumwas changed to PneumaCult Airway Organoid Differentiation Medium and maintained for an additional 3 weeks to promote cell differentiation. These airway organoids were then treated with CFTR corrector VX-809 for 24 hours, followed by 6-hour treatment with amiloride, forskolin, and genistein to induce organoid swelling. Result(s): Our results demonstrate that ALI cultures derived from CF donors displayed partial rescue of CFTR across multiple passages after treatment with VX-809. Airway organoids were found to express functional CFTR, as evidenced by forskolin treatment, which induced a 64 +/- 14% (n = 1 donor) greater organoid area than in vehicle control-treated airway organoids. Airway organoids derived from CF donors displayed a loss of forskolininduced swelling, which could be partially re-established with VX-809 treatment (29 +/- 9%, n = 3). Conclusion(s): In summary, the PneumaCult workflow supports robust, efficient culture of primary-airway epithelial cells that can be used as physiologically relevant models suitable for CF research, CFTR corrector screening, and studying airway biology.Copyright © 2022, European Cystic Fibrosis Society. All rights reserved

42nd Scientific Meeting of the German Society for Magnesium Research

The proceedings contain 23 papers. The topics discussed include: Mg and skeletal system: a link to osteoporosis and osteoarthritis;a putative impact of IL-6 on the expression of magnesiotropic genes through the activation of the JAK/STAT3 pathway;magnesium in pain therapy - historical notes and current aspects;Alzheimer's-associated variant rs708727 might be connected to dementia in Parkinson's disease;effect of magnesium citrate supplementation on the brain tissue of patients with Miyoshi dysferlinopathy measured by 31P magnetic resonance spectroscopy;clinical status of magnesium implants;Ionized magnesium: update 2022;magnesium in the treatment of selected types of muscular dystrophy;magnesium speciation analysis in blood serum;epigenetically-induced modulation of the HPA axis might improve resilience to chronic stress;magnesium status in patients with fibromyalgia syndrome;and post-covid-syndrome and transient microvascular pathology in pulse-wave-analysis - association with Mg/Ca ratio and magnesium therapy-options.

Apropos of menstrual changes and abnormal uterine bleeding after COVID-19 vaccination.

It is news of 28 October 2022 that the Pharmacovigilance Risk Assessment Committee of the European Medicines Agency has recommended to add heavy menstrual bleeding among the side effects of unknown frequency inside the package insert of nucleoside-modified messenger ribonucleic acid vaccines to prevent coronavirus disease 2019 (COVID-19). The decision has been made in the light of the numerous reports of unexpected menstrual changes or abnormal uterine bleeding following COVID-19 vaccination. Here we advance a possible involvement of the particular adenohypophyseal microcirculation in these strange and still unexplained events.

The YODO algorithm: An efficient computational framework for sensitivity analysis in Bayesian networks

Sensitivity analysis measures the influence of a Bayesian network's parameters on a quantity of interest defined by the network, such as the probability of a variable taking a specific value. In the literature, this influence is often measured by computing the partial derivative with respect to the network parameters. However, this can become computationally expensive in large networks with thousands of parameters. We propose an algorithm combining automatic differentiation and exact inference to calculate the sensitivity measures in a single pass efficiently. It first marginalizes the whole network once, using e.g. variable elimination, and then backpropagates this operation to obtain the gradient with respect to all input parameters. Our method can be used for one-way and multi-way sensitivity analysis and the derivation of admissible regions. Simulation studies highlight the efficiency of our algorithm by scaling it to massive networks with up to 100,000 parameters and investigate the feasibility of generic multi-way analyses. Our routines are also showcased over two medium-sized Bayesian networks: the first modeling the country risks of a humanitarian crisis, the second studying the relationship between the use of technology and the psychological effects of forced social isolation during the COVID-19 pandemic. An implementation of the methods using the popular machine learning library PyTorch is freely available.