Large Knowledge Research Articles

Do government-funded patents have higher quality than privately-funded patents?

ABSTRACT This paper examines whether there exists a quality difference between government-funded and privately-funded patents. Furthermore, to the extent that there is a quality difference, this paper investigates under what conditions such a difference is particularly more pronounced. Using a unique dataset of Korean manufacturing firms during the period of 2006-2010 that provides project-level information on public R&D subsidies, we find the following. First, for the pooled sample of patents, there exists a quality difference between government-funded and privately-funded patents. Overall, the quality of government-funded patents is higher than that of privately-funded ones. Second, within each firm, quality differences between government-funded and privately-funded patents are more likely to be positive for large firms than small ones. Third, within-firm quality differences between government-funded and privately-funded patents are more likely to be positive for firms with a large technological knowledge base, particularly when they perform more exploratory, rather than exploitative, R&D projects with public R&D subsidies.

Patrimonio ecclesiastico, rischio e pianificazione: un approccio a scala vasta alla cura e alla prevenzione

Religious architectural heritage is largely widespread on the Italian territory and it is subject to several kind of risks, particularly concentrated in Italy. Exposure to risks, worsened by underuse and lack of maintenance of these buildings lead to the necessary development of conservation, reuse and transformation strategies in order to preserve this heritage in a safety state. In this perspective, this contribution presents first results of a research project conducted by Politecnico di Torino, which developed a tool for vulnerability and risk rapid analysis of the ecclesiastical religious heritage. This method assumes large and systematic knowledge about the aforementioned heritage. It can be used for decision support and planning of interventions and activities by heritage managing bodies in order to optimize strategies by considering territorial, safety and architectural suitability. Although the proposed method can not be applied to the heritage of religious orders and congregations, due to the lack of an official census, this contribution allows to design new scenarios of research and reflections to be conducted in future studies in the field of reuse and transformation of religious heritage.

Burdens, resources, health and wellbeing of nurses working in general and specialised palliative care in Germany \u2013 results of a nationwide cross-sectional survey study

BackgroundPalliative care in Germany is divided into general (GPC) and specialised palliative care (SPC). Although palliative care will become more important in the care sector in future, there is a large knowledge gab, especially with regard to GPC. The aim of this study was to identify and compare the burdens, resources, health and wellbeing of nurses working in GPC and SPC. Such information will be helpful for developing prevention programs in order to reduce burdens and to strengthen resources of nurses.MethodsIn 2017, a nationwide cross-sectional survey was conducted. In total, 437 nurses in GPC and 1316 nurses in SPC completed a questionnaire containing parts of standardised instruments, which included parts of the Copenhagen Psychosocial Questionnaire (COPSOQ), the Patient Health Questionnaire (PHQ-2), the Resilience Scale (RS-13) Questionnaire, a single question about back pain from the health survey conducted by the Robert Koch Institute as well as self-developed questions. The differences in the variables between GPC and SPC nurses were compared.ResultsSPC nurses reported higher emotional demands as well as higher burdens due to nursing care and the care of relatives while GPC nurses stated higher quantitative demands, i.e. higher workload. SPC nurses more often reported organisational and social resources that were helpful in dealing with the demands of their work. Regarding health, GPC nurses stated a poorer health status and reported chronic back pain as well as a major depressive disorder more frequently than SPC nurses. Furthermore, GPC nurses reported a higher intention to leave the profession compared to SPC nurses.ConclusionsThe findings of the present study indicate that SPC could be reviewed as the best practice example for nursing care in Germany. The results may be used for developing target group specific prevention programs for improving health and wellbeing of nurses taking the differences between GPC and SPC into account. Finally, interventional and longitudinal studies should be conducted in future to determine causality in the relationship of burdens, resources, health and wellbeing.

Extended‐state‐observer‐based dynamic surface control of flexible‐joint robot systems with input saturation

SummaryThis article presents an extended‐state‐observer‐based dynamic surface control approach for flexible‐joint robot systems with asymmetric input saturation and large unknown dynamic knowledge. Traditional controllers for flexible‐joint robot systems usually use approximation technology to deal with unknown dynamics knowledge. Unlike the traditional control algorithm, this article utilizes an extended state observer to estimate the unknown dynamics. For the closed‐loop system, the delay strategy handles the time‐scale separation issue, the filtering system overcomes the “explosion of differentiation” caused by the repeated differentiation of auxiliary control signals, and the mean‐value‐theorem solves the input saturation problem of the actuator. The stability analysis implies that estimation errors of extended state observers (ESOs) and other state variables are semiglobally uniformly ultimately bounded. Compared with fuzzy control algorithms, the novel ESO‐based dynamic surface control approach not only omits online learning time but also uses only a few control parameters to obtain satisfactory tracking performance. Finally, a comparison simulation experiment is provided to illustrate the effectiveness of the gained conclusions.

Trace-elemental and multi-isotopic (Sr-Nd-Pb) discrimination of jade in the circum-Caribbean: Implications for pre-colonial inter-island exchange networks

Dense and strong, hydrothermal-metasomatic jadeitite and jadeite-omphacite rocks were used as tools and adornments throughout the wider Caribbean since initial inhabitation. Regionally, rich sources of jadeitite and jadeite-omphacite jade are known only in Guatemala (north and south of the Motagua Fault Zone), eastern Cuba and the northern Dominican Republic, establishing that humans transported jadeitic material over vast distances. This study validates that geochemical fingerprinting is a viable provenance method for Caribbean pre-colonial jadeitic lithologies. An assemblage of 101 source rocks has been characterised for trace element and combined Sr-Nd-Pb isotope compositions. Four statistical approaches (Principal Component Analysis, t-Distributed Stochastic Neighbour Embedding, Decision Tree, and Multiclass Regression) were assessed, employing source-distinct trace element ratios. A multiclass regression technique based on trace element ratios of immobile high field strength, light to medium rare earth and fluid-mobile, large-ion-lithophile elements is shown to be most effective in discriminating the four source regions.Ninety-one % of the Guatemalan samples can be discriminated from the Dominican and Cuban sources using La/Th, Zr/Hf and Y/Th ratios. Jadeitic rocks cropping out in the Dominican Republic can be distinguished from Cuban jades employing Er/Yb, Nb/Ta and Ba/Rb ratios with 71% certainty. Furthermore, the two Guatemala sources, north and south of the Motagua Fault Zone, can be discriminated by using (among others) Zr/Hf, Ta/Th, La/Sm and Dy/Y ratios with an 89% success rate. This raises the possibility of determining, in detail, former trading and mobility networks between different islands and the Meso- and Central American mainland within the Greater Caribbean.The provenance technique was applied to 19 pre-colonial jade celts excavated from the Late Ceramic Age Playa Grande archaeological site in the northern Dominican Republic. Three artefacts are discriminated as derived from the Guatemalan source, indicating that, despite a source of jade within 25 km, material was traded from Guatemala. The presence of Guatemalan jade in the Playa Grande lithic assemblage provides further evidence of large scale (>3000 km), regional trading and indigenous knowledge transfer networks.

Unknown Oriented Programming: Mathematical Continuation

Natural language semantic engineering problems are faced with unknown input and intensive knowledge challenges. In order to adapt to the featuresof natural language semantic engineering, the AI programinglanguage needs to be expanded mathematically: 1) Using many ways to improve the spatial distribution and coverage of instances; 2) Keeping different abstract function versions running at the same time; 3) Providing a large numberof knowledge configuration files and supporting functions to deal with intensive knowledge problems; 4) Using the most possibilitypriority call to solve the problem of multiple running branchestraversal. This paper introduces the unknown oriented programming ideas, basic strategy formulation,language design and simulation running examples. It provides a new method for the incremental research and development of large-scale natural language semantic engineeringapplication. Finally, this paper summarizes the full text and puts forward the further research direction.

Computing how-provenance for SPARQL queries via query rewriting

Over the past few years, we have witnessed the emergence of large knowledge graphs built by extracting and combining information from multiple sources. This has propelled many advances in query processing over knowledge graphs, however the aspect of providing provenance explanations for query results has so far been mostly neglected. We therefore propose a novel method, SPARQLprov, based on query rewriting, to compute how-provenance polynomials for SPARQL queries over knowledge graphs. Contrary to existing works, SPARQLprov is system-agnostic and can be applied to standard and already deployed SPARQL engines without the need of customized extensions. We rely on spm-semirings to compute polynomial annotations that respect the property of commutation with homomorphisms on monotonic and non-monotonic SPARQL queries without aggregate functions. Our evaluation on real and synthetic data shows that SPARQLprov over standard engines incurs an acceptable runtime overhead w.r.t. the original query, competing with state-of-the-art solutions for how-provenance computation.

Adherence to Home-Based Swallowing Therapy Using a Mobile System in Head and Neck Cancer Survivors.

Purpose A large knowledge gap related to dysphagia treatment adherence was identified by a recent systematic review: Few existing studies report on adherence, and current adherence tracking relies heavily on patient self-report. This study aimed to report weekly adherence and dysphagia-specific quality of life following home-based swallowing therapy in head and neck cancer (HNC). Method This was a quasi-experimental pretest-posttest design. Patients who were at least 3 months post-HNC treatment were enrolled in swallowing therapy using a mobile health (mHealth) swallowing system equipped with surface electromyography (sEMG) biofeedback. Participants completed a home dysphagia exercise program across 6 weeks, with a target of 72 swallows per day split between three different exercise types. Adherence was calculated as percent trials completed of trials prescribed. The M. D. Anderson Dysphagia Inventory (MDADI) was administered before and after therapy. Results Twenty participants (75% male), with an average age of 61.9 years (SD = 8.5), completed the study. The majority had surgery ± adjuvant (chemo)radiation therapy for oral (10%), oropharyngeal (80%), or other (10%) cancers. Using an intention-to-treat analysis, adherence to the exercise regimen remained high from 84% in Week 1 to 72% in Week 6. Radiation therapy, time since cancer treatment, medical difficulties, and technical difficulties were all found to be predictive of poorer adherence at Week 6. A statistically significant improvement was found for composite, emotional, and physical MDADI subscales. Conclusions When using an mHealth system with sEMG biofeedback, adherence rates to home-based swallowing exercise remained at or above 72% over a 6-week treatment period. Dysphagia-specific quality of life improved following this 6-week treatment program.

Microplastics interaction with terrestrial plants and their impacts on agriculture.

Microplastics (MPs) are widespread in natural ecosystems and have attracted considerable attention from scientists all over the world because they are believed to threaten every life form. In addition to their potential physical and chemical effects on organisms, MPs may act as a carrier for many micropollutants, including antibiotics, heavy metals, and others. Over the last 10-15 yr, extensive research has been carried out on MPs in marine environments regarding their sources, fate, and toxicity. However, studies concerning their accumulation in the soil ecosystem, uptake, internalization, and impacts on photosynthetic components of the terrestrial ecosystem and risk assessments have been scanty. Thus, there is a large knowledge gap on the extent to which terrestrial environments, especially agroecosystems, are affected by MPs and their subsequent risks to human health. This review summarizes up-to-date findings about MPs on terrestrial environments and provides guidelines for future studies regarding the phytotoxic effects of MPs on plants; the mechanism of uptake and translocation in plant tissues; detection tools for MPs in plants; impacts on plant growth, plant development, and agricultural productivity; and, most important, the future prospects of MPs interaction and accumulation in plants.

Consciousness: Just Another Technique?

This note is intended as a contribution to the discussion whether artificial systems can have consciousness. Based on the notion of Tononi’s Information Integration Theory we will argue, that AI systems that have to reason with large knowledge bases need such techniques in order to handle them efficiently. We furthermore discuss mind-wandering and creativity on this basis.

Days out of Institution after Tracheostomy and Gastrostomy Placement in Critically Ill Older Adults.

Rationale: Tracheostomy and gastrostomy tubes are frequently placed during critical illness for long-term life support, with most placed in older adults. Large knowledge gaps exist regarding outcomes expressed as most important to patients. Objectives: To determine the number of days alive and out of institution (DAOIs) and mortality after tracheostomy and gastrostomy placement during critical illness and to evaluate associations between health states before critical illness and outcomes. Methods: In this retrospective cohort study of Medicare beneficiaries admitted to an intensive care unit (ICU) who received a tracheostomy, gastrostomy, or both, we determined the number of DAOIs after procedure date; 90-day, 6-month, and 1-year mortality; hospital discharge destination; and hospital length of stay. We used claims from the year before admission to define eight mutually exclusive pre-ICU health states (permutations of one or more of cancer, chronic organ failure, frail, and robust) and assessed their association with DAOIs in 90 days and 1-year mortality. Results: Among 3,365 patients who received a tracheostomy, 6,709 patients who received a gastrostomy tube, and 3,540 patients who received both procedures, the median number of DAOIs in the first 90 days after placement was 3 (interquartile range, 0-46), 12 (0-61), and 0 (0-37), respectively. Over half died within 180 days. One-year mortality was 62%, 60%, and 64%, respectively. When compared with the robust state, all other pre-ICU health states were associated with loss of DAOIs and increased 1-year mortality; however, between the seven non-robust pre-ICU health states, there were no differences in outcomes. Conclusions: Medicare beneficiaries with prior comorbidity who received tracheostomy, gastrostomy tube, or both during critical illness spent few DAOIs and had high short- and long-term mortality.

Development and Preliminary Evaluation of a Patient-facing Educational Video About Live Kidney Donor Surgical Complications.

Background.Living kidney donation (LKD) improves transplant access; however, its use is compromised, in part, by individuals’ unaddressed concerns about perioperative complications.Methods.We developed an animated, patient-centered educational video about LKD surgical complications, with input from experts in transplantation, communication, and anthropology, 35 patients/care partners (5 LKD candidates, 5 prior LKDs, 10 kidney transplant recipients, 10 kidney transplant candidates, 5 care partners), and 1 community advocate. We then conducted an online pre-post study with 24 potential kidney donors and recipients to measure the video’s acceptability and feasibility to improve donation complication knowledge and concerns.Results.Knowledge of LKD surgical complications increased 23% (mean 5.7 to 7.0, P < 0.01) from pre- to post- animation viewing. Large knowledge effect size increases were observed for different levels of age, race, health literacy, and technology access. The frequency of positive responses about donation safety increased from 88% preanimation to 96% postanimation. Concerns about surgical complications remained at 17% before and after exposure. After viewing the animation, over 90% indicated positive ratings on ease of watching, understanding, and engaging.Conclusions.An animated educational video about LKD surgical complications was developed in collaboration with multiple stakeholders. The video was well received and promised to positively impact individuals’ knowledge and concerns.

Is Bigger Better? A Deeper Look on Size and Innovation Performance of Multi-actor R&amp;D Projects

This paper deals with collaborative R&D projects, with a considerable number of organizational actors, which generate both new knowledge and innovations, market upstream. It is generally assumed that a large knowledge base is beneficial for knowledge generation due to more possibilities for recombination. But, under the pressure of project constraints, are bigger multi-actor projects indeed ‘better’, in terms of their innovation performance, measured by the number of their research and innovation outputs? The extant literature is contradictory on this topic. This paper sheds light on the relationship between the size of the projects and their research and innovation outputs, using an exploratory inductive multi-case study of multi-actor R&D projects funded by the latest European Union’s Research and Innovation Programmes. We provide evidence that over 95% of 185 research and innovation outputs in the studied projects were developed in small stable groups, or individually, independent of the project size: large knowledge base can be beneficial after the project but was not within the project. Nevertheless, the generation of meta-knowledge, a non-conventional project output not identified in the literature, may be a benefit of a larger project size in specific settings.

High salinity gradients and intermediate spatial scales shaped similar biogeographical and co-occurrence patterns of microeukaryotes in a tropical freshwater-saltwater ecosystem.

Microeukaryotes play key ecological roles in the microbial web of aquatic ecosystems. However, large knowledge gaps urgently need to be filled regarding the biogeography with associated shaping mechanisms and co-occurrence patterns of microeukaryotes under freshwater-saltwater gradients, especially true in tropical regions. Here, we investigated microeukaryotes of six mixed freshwater-saltwater regions in the Pearl River Estuary and surrounding coasts in southern China, with salinity ranging 0.1-32.0% and distances spanned up to 500 km, using molecular ecological methods. Results indicate that the biogeography of abundant and rare microeukaryotic communities was similar, both their co-occurrence patterns and biogeographical patterns were driven by deterministic and stochastic processes. The environmental factors with higher selective pressure than dispersal limitation meant that the role of deterministic process in structuring communities was more significant than that of stochastic process, and salinity played important role in structuring both microeukaryotic communities and networks. The abundant communities had stronger influence on entire microeukaryotic communities and seemed to be more sensitive to environmental changes than their rare counterparts, while rare ones had stronger interspecific relationships. Finally, the geographic scale and environmental gradients of study regions should firstly be clarified in future research on the ecological processes of microeukaryotes before conclusions are drawn.

Fecal multi-omics analysis reveals diverse molecular alterations of gut ecosystem in COVID-19 patients

Gut ecosystem has profound effects on host physiology and health. Gastrointestinal (GI) symptoms were frequently observed in patients with COVID-19. Compared with other organs, gut antiviral response can result in more complicated immune responses because of the interactions between the gut microbiota and host immunity. However, there are still large knowledge gaps in the impact of COVID-19 on gut molecular profiles and commensal microbiome, hindering our comprehensive understanding of the pathogenesis of SARS-CoV-2 and the treatment of COVID-19. We performed longitudinal stool multi-omics profiling to systemically investigate the molecular phenomics alterations of gut ecosystem in COVID-19. Gut proteomes of COVID-19 were characterized by disturbed immune, proteolysis and redox homeostasis. The expression and glycosylation of proteins involved in neutrophil degranulation and migration were suppressed, while those of proteases were upregulated. The variable domains of Ig heavy chains were downregulated and the overall glycosylation of IgA heavy chain constant regions, IgGFc-binding protein, and J chain were suppressed with glycan-specific variations. There was a reduction of beneficial gut bacteria and an enrichment of bacteria derived deleterious metabolites potentially associated with multiple types of diseases (such as ethyl glucuronide). The reduction of Ig heave chain variable domains may contribute to the increase of some Bacteroidetes species. Many bacteria ceramide lipids with a C17-sphingoid based were downregulated in COVID-19. In many cases, the gut phenome did not restore two months after symptom onset. Our study indicates widely disturbed gut molecular profiles which may play a role in the development of symptoms in COVID-19. Our findings also emphasis the need for ongoing investigation of the long-term gut molecular and microbial alterations during COVID-19 recovery process. Considering the gut ecosystem as a potential target could offer a valuable approach in managing the disease.

Critical In-Water Habitats for Post-Nesting Sea Turtles from the Southern Gulf of Mexico

Marine turtles are globally endangered species that spend more than 95% of their life cycle in in-water habitats. Nevertheless, most of the conservation, recovery and research efforts have targeted the on-land habitats, due to their easier access, where adult females lay their eggs. Targeting the large knowledge gaps on the in-water critical habitats of turtles, particularly in the Large Marine Ecosystem Gulf of Mexico, is crucial for their conservation and recovery in the long term. We used satellite telemetry to track 85 nesting females from their beaches after they nested to identify their feeding and residency habitats, their migratory corridors and to describe the context for those areas. We delimited major migratory corridors in the southern Gulf of Mexico and West Caribbean and described physical features of internesting and feeding home ranges located mainly around the Yucatan Peninsula and Veracruz, Mexico. We also contributed by describing general aggregation and movement patterns for the four marine turtle species in the Atlantic, expanding the knowledge of the studied species. Several tracked individuals emigrated from the Gulf of Mexico to as far as Nicaragua, Honduras, and the Bahamas. This information is critical for identifying gaps in marine protection and for deciphering the spatial connectivity in large ocean basins, and it provides an opportunity to assess potential impacts on marine turtle populations and their habitats.

Diversity and Similarity Gomphocerinae (Orthoptera: Acrididae) Communities in the Brazilian Amazon

Inventories of Amazon invertebrates are relatively incipient and fragmented. The state of Amapá is one of the Amazonian states with a large knowledge gap regarding invertebrate biodiversity. Also, there is no record in the literature of systematic studies that focus mainly on the Acridofauna. Therefore the goal of this study was to understand the diversity and abundance of grasshoppers (Gomphocerinae) of the Environmental Protection Area of the Curiaú river, Macapá - AP. Twelve samples were collected from October 2011 to September 2012 using the active search technique with sweep nets. A total of 508 Gomphocerinae individuals were sampled and classified into five genera and twelve species. The floristic composition of sites A1 and A3, and sites A5 and A6, are considered more similar since the locusts are closely related to the vegetation. This is the first study assessing the diversity of orthopteroides in the state of Amapá. However, this pioneering study is expected to be the basis of future studies.

Current Status of Baricitinib as a Repurposed Therapy for COVID-19.

The emergence of the COVID-19 pandemic has mandated the instant (re)search for potential drug candidates. In response to the unprecedented situation, it was recognized early that repurposing of available drugs in the market could timely save lives, by skipping the lengthy phases of preclinical and initial safety studies. BenevolentAI’s large knowledge graph repository of structured medical information suggested baricitinib, a Janus-associated kinase inhibitor, as a potential repurposed medicine with a dual mechanism; hindering SARS-CoV2 entry and combatting the cytokine storm; the leading cause of mortality in COVID-19. However, the recently-published Adaptive COVID-19 Treatment Trial-2 (ACTT-2) positioned baricitinib only in combination with remdesivir for treatment of a specific category of COVID-19 patients, whereas the drug is not recommended to be used alone except in clinical trials. The increased pace of data output in all life sciences fields has changed our understanding of data processing and manipulation. For the purpose of drug design, development, or repurposing, the integration of different disciplines of life sciences is highly recommended to achieve the ultimate benefit of using new technologies to mine BIG data, however, the final say remains to be concluded after the drug is used in clinical practice. This review demonstrates different bioinformatics, chemical, pharmacological, and clinical aspects of baricitinib to highlight the repurposing journey of the drug and evaluates its placement in the current guidelines for COVID-19 treatment.

Contrasting Resource Dynamics in Mast Years for European Beech and Oak—A Continental Scale Analysis

Resource allocation to different plant tissues is likely to be affected by high investment into fruit production during mast years. However, there is a large knowledge gap concerning species-specific differences in resource dynamics. We investigated the influence of mast years on stem growth, leaf production, and leaf carbon (C), nitrogen (N), and phosphorus (P) concentrations and contents in Fagus sylvatica, Quercus petraea, and Q. robur at continental and climate region scales using long-term data from the International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests (ICP Forests) and similar datasets. We discussed the results in the light of opposing resource dynamics hypotheses: (i) resource accumulation before mast years and exhaustion after mast years (resource storage hypothesis), (ii) shifting resources from vegetative to generative compartments (resource switching hypothesis), and (iii) investing resources concurrently in both vegetative and generative compartments (resource matching hypothesis). Linear mixed-effects modelling (LMM) showed that both stem growth and leaf production were negatively influenced by weather conditions which simultaneously lead to high fruit production. Thus, the impact of generative on vegetative growth is intermixed with effects of environmental factors. Superposed epoch analyses and LMM showed that for mast behaviour in F. sylvatica, there are indicators supporting the resource storage and the resource switching hypotheses. Before mast years, resources were accumulated, while during mast years resources switched from vegetative to generative tissues with reduced stem and leaf growth. For the Quercus species, stem growth was reduced after mast years, which supports the resource storage hypothesis. LMM showed that leaf C concentrations did not change with increasing fruit production in neither species. Leaf N and P concentrations increased in F. sylvatica, but not in Quercus species. Leaf N and P contents decreased with increasing fruit production in all species, as did leaf C content in F. sylvatica. Overall, our findings suggest different resource dynamics strategies in F. sylvatica and Quercus species, which might lead to differences in their adaptive capacity to a changing climate.

The Pivotal Player: Components of NF-κB Pathway as Promising Biomarkers in Colorectal Cancer.

Over the last several decades, colorectal cancer (CRC) has been one of the most prevalent cancers. While significant progress has been made in both diagnostic screening and therapeutic approaches, a large knowledge gap still remains regarding the early identification and treatment of CRC. Specifically, identification of CRC biomarkers that can help with the creation of targeted therapies as well as increasing the ability for clinicians to predict the biological response of a patient to therapeutics, is of particular importance. This review provides an overview of CRC and its progression stages, as well as the basic types of CRC biomarkers. We then lay out the synopsis of signaling pathways related to CRC, and further highlight the pivotal and multifaceted role of nuclear factor (NF) κB signaling in CRC. Particularly, we bring forth knowledge regarding the tumor microenvironment (TME) in CRC, and its complex interaction with cancer cells. We also provide examples of NF-κB signaling-related CRC biomarkers, and ongoing efforts made at targeting NF-κB signaling in CRC treatment. We conclude and anticipate that with more emerging novel regulators of the NF-κB pathway being discovered, together with their in-depth characterization and the integration of large groups of genomic, transcriptomic and proteomic data, the day of successful development of more ideal NF-κB inhibitors is fast approaching.