High Potential Research Articles

«ОТКРЫТЫЕ ИННОВАЦИИ» - ПАРАДИГМА СОВРЕМЕННОГО ИННОВАЦИОННОГО МЕНЕДЖМЕНТА

High innovation potential in any country is the key to the development of the entire economy. To date, there has been a significant reduction in Russia's partnerships with Western European countries in most areas of activity, including cooperation in the field of innovation. The author believes that the most effective way to develop innovation management is the open innovation paradigm. The article analyzes the indicators of the practical application of open innovations at the corporate level. The main and most significant factors hindering the implementation of the open innovation model in Russian practice are identified, and promising directions for its development are outlined.

Screening approaches for lung cancer by blood-based biomarkers: Challenges and opportunities.

Lung cancer (LC) is one of the leading causes for cancer-related deaths in the world, accounting for 28% of all cancer deaths in Europe. Screening for lung cancer can enable earlier detection of LC and reduce lung cancer mortality as was demonstrated in several large image-based screening studies such as the NELSON and the NLST. Based on these studies, screening is recommended in the US and in the UK a targeted lung health check program was initiated. In Europe lung cancer screening (LCS) has not been implemented due to limited data on cost-effectiveness in the different health care systems and questions on for example the selection of high-risk individuals, adherence to screening, management of indeterminate nodules, and risk of overdiagnosis. Liquid biomarkers are considered to have a high potential to address these questions by supporting pre- and post- Low Dose CT (LDCT) risk-assessment thereby improving the overall efficacy of LCS. A wide variety of biomarkers, including cfDNA, miRNA, proteins and inflammatory markers have been studied in the context of LCS. Despite the available data, biomarkers are currently not implemented or evaluated in screening studies or screening programs. As a result, it remains an open question which biomarker will actually improve a LCS program and do this against acceptable costs. In this paper we discuss the current status of different promising biomarkers and the challenges and opportunities of blood-based biomarkers in the context of lung cancer screening.

Using simulations in project management education – impact on awareness and ability to navigate projects in a sustainable way

PurposeExisting literature points out that conventional educational modes are not sufficiently motivational for students. Concurrently, the contemporary society requires awareness of sustainability within project management. The purpose of this paper is to investigate how the use of simulations in project management education can positively impact students’ awareness of sustainability and enhance their ability to navigate projects in a sustainable way.Design/methodology/approachExperiment where 26 experienced professionals with different backgrounds engaged in three extensive project management simulations with sustainable aspects and participated in pre- and post-assessments.FindingsOur research shows that simulations have a high potential for enhancing learning on project management with sustainable aspects. We conclude that simulations can significantly contribute to enhancing student awareness of sustainability. This is through directly confronting them with three areas in which sustainability impacts project management, that is the management of environmental, social, and economic aspects; through handling opportunities, complexities, and adaptability; and by assuming responsibility for sustainable development in the simulation case.Practical implicationsWe have shown that simulations – as a part of project management education – are highly likely to augment students' capacity to navigate their projects in a sustainable way.Originality/valueThis paper offers results of an empirical study on simulations as a means to create awareness of ability to navigate projects in a sustainable way. The paper provides extensive qualitative statements from participants, and thereby gives the reader insights into the raw data leading to insightful conclusions for the field of project management education.

Possibility of using boric acid and glutinous rice flour as additive for producing silicon carbide ceramic via pressureless solid-state sintering

This research aimed to investigate the possibility of using the mixture of boric acid and glutinous rice flour as a cost-efficient alternative additive for producing silicon carbide (SiC) ceramic sintered at 1800℃ via pressureless solid-state sintering. The results indicated that the addition of boric acid- glutinous rice flour mixture (10 wt%) in an appropriate ratio (0.5 by molar ratio) into the SiC mixture (90 wt%) enhanced the densification and flexural strength of sintered SiC samples. However, increasing boric acid/glutinous rice flour ratio reduces density and flexural strength. The 5.45 wt% carbon content was sufficient to remove the oxide layer of the SiC surface and improve the properties of SiC ceramic. In summary, the boric acid-glutinous rice flour mixture has a high potential to be used as an additive for producing dense and porous SiC ceramics via pressureless solid-state sintering.

Purification, Molecular Docking and Cytotoxicity Evaluation of Bioactive Pentacyclic Polyhydroxylated Triterpenoids from Salvia urmiensis.

Triterpenoids, as one of the largest classes of naturally occurring secondary metabolites in higher plants, are of interest due to their high structural diversity and wide range of biological activities. In addition to several promising pharmacological activities such as antimicrobial, antiviral, antioxidant, anti-inflammatory and hepatoprotective effects, a large number of triterpenoids have revealed high potential for cancer therapy through their strong cytotoxicity on cancer cell lines and, also, low toxicity in normal cells. So, this study was aimed at discovering novel and potentially bioactive triterpenoids from the Salvia urmiensis species. For this, an ethyl acetate fraction of the acetone extract of the aerial parts of the plant was chromatographed to yield five novel polyhydroxylated triterpenoids (1: -5: ). Their structure was elucidated by extensive spectroscopic methods including 1D (1H, 13C, DEPT-Q) and 2D NMR (COSY, HSQC, HMBC, NOESY) experiments, as well as HRESIMS analysis. Cytotoxic activity of the purified compounds was also investigated by MTT assay against the MCF-7 cancer cell line. Furthermore, a molecular docking analysis was applied to evaluate the inhibition potential of the ligands against the nuclear factor kappa B (NF-κB) protein, which promotes tumor metastasis or affects gene expression in cancer disease. The 1β,11β,22α-trihydroxy-olean-12-ene-3-one (compound 4: ) indicated the best activity in both in vitro and in silico assays, with an IC50 value of 32 µM and a docking score value of - 3.976 kcal/mol, respectively.

The Good, the Bad, and the Narrative: How Youth Experience the ‘Gangsta’ in Rap Music

Rap is a music genre that is as dynamic and internationally successful as it is extensively discredited. This contribution begins here by focusing on the perception of young rap fans and asking what meaning they attach to rap specifically with regard to the criminality of gangstas. The empirical basis for the analyses is an ethnographic study with young rap fans in Germany. The results show that rappers as gangstas have a high identification potential for the young people – but not in every case. Rappers have to be authentic and show the young people possibilities to find ways out of disadvantaged and discriminating living conditions, if necessary with the help of crime. To appear credible in this respect, gangstas must rap about actual crimes and communicate experiences with which the young people, for their part, are familiar.

Grapevine and Horseradish Leaves as Natural, Sustainable Additives for Improvement of the Microbial, Sensory, and Antioxidant Properties of Traditionally Fermented Low-Salt Cucumbers

The agro-food industry produces large amounts of secondary by-products, which can act as a source of bio-active ingredients. These ingredients can be used as valuable additives to support the sustainable circular economy concept. This study aimed to analyze the potential application of horseradish and grapevine leaves in the fermentation process of low-salt pickled cucumbers to improve their sensory and functional properties. The pour plate technique, RT-qPCR, HPLC, and a nine-point hedonic scale test with penalty analysis were used to analyze the traditionally fermented product. The research showed that the addition of both horseradish and grapevine leaves did not negatively affect the kinetics of fermentation and had a positive effect on the overall desirability. Moreover, they contributed to an increase in the concentration of antioxidant compounds, namely gallic acid (grape leaves) and ellagic acid (grapevine and horseradish leaves). Bacterial metabiome analysis showed the positive effect of all analyzed additives on an increase in the relative expression of genes responsible for the synthesis of selected bacteriocins (plantaricin and acidocin). Research results indicated a high potential for sustainable use of by-products (horseradish and grapevine leaves) in the production of traditional low-salt fermented cucumbers with high health-promoting potential.

Enhanced performance of carbon dots and Mn3O4 composite by phosphate in peroxymonosulfate activation

A composite of nitrogen-doped carbon dots and Mn3O4 (CMO) was synthesized using a facile hydrothermal and precipitation method for peroxymonosulfate (PMS) activation. Surprisingly, high concentrations of H2PO4− (DP, above 20 mM) significantly enhanced the degradation efficiency of bisphenol A (BPA). The improvement was not attributed to the accelerated cleavage of PMS or pH variation. Instead, DP could directly form a complex with CMO, generating Mn(III)-DP with a high potential (0.64 V vs. SCE, 100 mM of DP). Simultaneously, it decreased the oxidative potential of BPA from 0.69 to 0.38 V vs. SCE. The degradation pathways of BPA differed in the CMO/PMS and CMO/DP systems. These findings inspire further exploration of carbon dots-based catalysts in persulfate activation and unveil the origin of enhanced performances by phosphate.

Human Protothecosis: Case Report of a Rare Algal Infection

Protothecosis: is a rare disease caused by opportunistic algae infection of the genus Prototheca. An 84-year-old female patient has presented with an erythematous, infiltrated, papulopustular plaque with areas of central atrophy on the left forearm for the past 10 months. Histopathology revealed structures similar to morulae, corresponding to algae, and culture was positive for Prototheca spp. Itraconazole 200 mg/day was prescribed, resulting in improvement of cutaneous lesions. Protothecosis has a high potential for underreporting and misdiagnosis due to its rarity and linical similarities with other dermatoses. The patient in this study presented a lesion in a typical area due to the ease of trauma and entry point, with a good therapeutic response to oral antifungal monotherapy.

Green Additives in Chitosan-based Bioplastic Films: Long-term Stability Assessment and Aging Effects.

Although biomass-based alternatives for the manufacturing of bioplastic films are an important aspect of a more sustainable future, their physicochemical properties need to be able to compete with the existing market to establish them as a viable alternative. One important factor that is often neglected is the long-term stability of renewables-based functional materials, as they should neither degrade after a day or week, nor last forever. One material showing high potential in this regard, also due to its intrinsic biodegradability and antibacterial properties, is chitosan, which can form stable, self-standing films. We previously showed that green additives introduce a broad tunability of the chitosan-based material properties. In this work, we investigate the long-term stability and related degradation processes of chitosan-based bioplastics by assessing their physicochemical properties over 400 days. It was found that the film properties change similarly for samples stored in the fridge (4 °C, dark) as at ambient conditions (20 °C, light/dark cycles of the day). Additives with high vapor pressure, such as glycerol, evaporate and degrade, causing both brittleness and discoloration. In contrast, films with the addition of crosslinking additives, such as citric acid, show high stability also over a long time, bearing great preconditions for practical applications. This knowledge serves as a stepping-stone to utilizing chitosan as an alternative material for renewable-resourced bioplastic products.

Do machine learning methods lead to similar individualized treatment rules? A comparison study on real data.

Identifying patients who benefit from a treatment is a key aspect of personalized medicine, which allows the development of individualized treatment rules (ITRs). Many machine learning methods have been proposed to create such rules. However, to what extent the methods lead to similar ITRs, that is, recommending the same treatment for the same individuals is unclear. In this work, we compared 22 of the most common approaches in two randomized control trials. Two classes of methods can be distinguished. The first class of methods relies on predicting individualized treatment effects from which an ITR is derived by recommending the treatment evaluated to the individuals with a predicted benefit. In the second class, methods directly estimate the ITR without estimating individualized treatment effects. For each trial, the performance of ITRs was assessed by various metrics, and the pairwise agreement between all ITRs was also calculated. Results showed that the ITRs obtained via the different methods generally had considerable disagreements regarding the patients to be treated. A better concordance was found among akin methods. Overall, when evaluating the performance of ITRs in a validation sample, all methods produced ITRs with limited performance, suggesting a high potential for optimism. For non-parametric methods, this optimism was likely due to overfitting. The different methods do not lead to similar ITRs and are therefore not interchangeable. The choice of the method strongly influences for which patients a certain treatment is recommended, drawing some concerns about their practical use.

Prediction of Metal-Organic Frameworks with Phase Transition via Machine Learning.

Metal-organic frameworks (MOFs) possess a virtually unlimited number of potential structures. Although the latter enables an efficient route to control the structure-related functional properties of MOFs, it still complicates the prediction and searching for an optimal structure for specific application. Next to prediction of the MOFs for gas sorption/separation and catalysis via machine learning (ML), we report on ML to find MOFs demonstrating a phase transition (PT). On the basis of an available QMOF database (7463 frameworks), we create and train the autoencoder followed by training the classifier of MOFs from a unique database with experimentally confirmed PT. This makes it possible to identify MOFs with a high potential for PT and evaluate the most likely stimulus for it (guest molecules or temperature/pressure). The formed list of available MOFs for PT allows us to discuss their structural features and opens an opportunity to search for phase change MOFs for diverse physical/chemical application.

Language Acquisition and Digital Media: State of the Art

Nowadays, digital media are already very present in childhood. Due to their language-based content and high attractiveness for children, they may offer a high potential for language promotion. However, in order for their effectiveness as language teachers, the content needs to be relevant for language promotion and to be attentively and repeatedly processed. This introduction sheds light on five criteria to evaluate the language-promoting potential of a digital medium and provides tips for accessibility and usage for children, families, and professionals.

Mechanistic Insights into Surfactant-Modulated Electrode-Electrolyte Interface for Steering H2O2 Electrosynthesis.

Electrocatalytic reactions taking place at the electrified electrode-electrolyte interface involve processes of proton-coupled electron transfer. Interfacial protons are delivered to the electrode surface via a H2O-dominated hydrogen-bond network. Less efforts are made to regulate the interfacial proton transfer from the perspective of interfacial hydrogen-bond network. Here, we present quaternary ammonium salt cationic surfactants as electrolyte additives for enhancing the H2O2 selectivity of the oxygen reduction reaction (ORR). Through in situ vibrational spectroscopy and molecular dynamics calculation, it is revealed that the surfactants are irreversibly adsorbed on the electrode surface in response to a given bias potential range, leading to the weakening of the interfacial hydrogen-bond network. This decreases interfacial proton transfer kinetics, particularly at high bias potentials, thus suppressing the 4-electron ORR pathway and achieving a highly selective 2-electron pathway toward H2O2. These results highlight the opportunity for steering H2O-involved electrochemical reactions via modulating the interfacial hydrogen-bond network.

Evaluation of genetic parameters of growth traits in G2 selected generation of Penaeus monodon

Fifteen whole sib families of the second-generation Penaeus monodon were constructed using artificial mating design in 2020. After labeling the families with fluorescent markers, the growth traits and genetic parameters were evaluated in a cement pond for 56 days. The results showed that the coefficient of variation of growth traits was 11.52-47.53%, indicating a high genetic variation. The heritability range of growth traits of the G2 population of P. monodon was 0.25±0.03-0.41±0.13, which belonged to medium and high heritability, and the statistical test results were significant (P<0.01). The heritability of body length and body weight were 0.38±0.11 and 0.41±0.13, respectively. The evaluation results of genetic correlation among growth traits were highly positive, and the statistical test results were significant (P<0.01). The genetic correlation between body weight and body length was the highest (0.99), and the genetic correlation between the width of the first carapace and the height of the first abdominal segment was the lowest (0.71). The phenotypic correlation between body weight and body length was the highest (0.93), and the lowest was head breastplate width and first abdominal segment height (0.53). These results showed that the G2 generation population of P. monodon has high genetic improvement potential, and the combination of family selection and individual selection achieved better genetic gain. The growth traits were highly positively correlated. Body length and body weight could be selected as the key traits for fast growth line selection, while the other growth traits could be indirectly selected through positive genetic correlation.

Heparanase interacting BCLAF1 to promote the development and drug resistance of ICC through the PERK/eIF2α pathway.

Intrahepatic cholangiocarcinoma (ICC) is a primary epithelial carcinoma known for its aggressive nature, high metastatic potential, frequent recurrence, and poor prognosis. Heparanase (HPSE) is the only known endogenous β-glucuronidase in mammals. In addition to its well-established enzymatic roles, HPSE critically exerts non-catalytic function in tumor biology. This study herein aimed to investigate the non-enzymatic roles of HPSE as well as relevant regulatory mechanisms in ICC. Our results demonstrated that HPSE was highly expressed in ICC and promoted the proliferation of ICC cells, with elevated HPSE levels implicating a poor overall survival of ICC patients. Notably, HPSE interacted with Bcl-2-associated factor 1 (BCLAF1) to upregulate the expression of Bcl-2, which subsequently activated the PERK/eIF2α-mediated endoplasmic reticulum (ER) stress pathway to promote anti-apoptotic effect of ICC. Moreover, our in vivo experiments revealed that concomitant administration of gemcitabine and the Bcl-2 inhibitor navitoclax enhanced the sensitivity of ICC cells with highly expressed HPSE to chemotherapy. In summary, our findings revealed that HPSE promoted the development and drug resistance of ICC via its non-enzymatic function. Bcl-2 may be considered as an effective target with therapeutic potential to overcome ICC chemotherapy resistance induced by HPSE, presenting valuable insights into the development of novel therapeutic strategies against ICC.

A DNA barcode library of Austrian geometridae (Lepidoptera) reveals high potential for DNA-based species identification.

Situated in the Eastern section of the European Alps, Austria encompasses a great diversity of different habitat types, ranging from alpine to lowland Pannonian ecosystems, and a correspondingly high level of species diversity, some of which has been addressed in various DNA barcoding projects. Here, we report a DNA barcode library of all the 476 species of Geometridae (Lepidoptera) that have been recorded in Austria. As far as possible, species were sampled from different Austrian regions in order to capture intraspecific genetic variation. In total, 2500 DNA barcode sequences, representing 438 species, were generated in this study. For complete coverage of Austrian geometrid species in the subsequent analyses, the dataset was supplemented with DNA barcodes from specimens of non-Austrian origin. Species delimitations by ASAP, BIN and bPTP methods yielded 465, 510 and 948 molecular operational taxonomic units, respectively. Congruency of BIN and ASAP partitions with morphospecies assignments was reasonably high (85% of morphospecies in unique partitions), whereas bPTP appeared to overestimate the number of taxonomic units. The study furthermore identified taxonomically relevant cases of morphospecies splitting and sharing in the molecular partitions. We conclude that DNA barcoding and sequence analysis revealed a high potential for accurate DNA-based identification of the Austrian Geometridae species. Additionally, the study provides an updated checklist of the geometrid moths of Austria.

Synergistic Effect of Co-Mo Pinning in Lay-Structured Oxide Cathode for Enhancing Stability toward Potassium-Ion Batteries.

Owing to the high economic efficiency and energy density potential, manganese-based layer-structured oxides have attracted great interests as cathode materials for potassium ion batteries. In order to alleviate the continuous phase transition and K+ re-embedding from Jahn-Teller distortion, the [Mn-Co-Mo]O6 octahedra are introduced into P3-K0.45MnO2 herein to optimize the local electron structure. Based on the experimental and computational results, the octahedral center metal molybdenum in [MoO6] octahedra proposes a smaller ionic radius and higher oxidation state to induce second-order JTE (pseudo-JTE) distortion in the adjacent [MnO6] octahedra. This distortion compresses the [MnO6] octahedra along the c-axis, leading to an increased interlayer spacing in the K+ layer. Meanwhile, the Mn3+/Mn4+ is balanced by [CoO6] octahedra and the K+ diffusion pathway is optimized as well. The proposed P3-K0.45Mn0.9Co0.05Mo0.05O2 cathode material shows an enhanced cycling stability and rate performance. It demonstrates a high capacity of 80.2mAhg-1 at 100mAhg-1 and 77.3mAhg-1 at 500mAhg-1. Furthermore, it showcases a 2000 cycles stability with a 59.6% capacity retention. This work presents a promising solution to the challenges faced by manganese-based layered oxide cathodes and offers a deep mechanism understanding and improved electrochemical performance.

1H Spin-Lattice Relaxation Processes in Solutions of H2N-Fe3O4 Nanoparticles: Insights from NMR Relaxometry.

1H spin-lattice relaxation experiments have been performed for water and glycerol/water solutions of H2N-Fe3O4 superparamagnetic nanoparticles (NPs) of about 7 nm diameter. The experiments encompass a broad frequency range covering 3 orders of magnitude, from 10 kHz to 10 MHz (referring to 1H resonance frequency), and have been performed in the temperature range from 298 to 313 K, varying the concentration of the superparamagnetic species. This extensive dataset has been used for twofold purposes. The first one is to serve as a challenge for thorough tests of theoretical models describing nuclear relaxation in solutions of superparamagnetic NPs, depending on their magnetic properties and dynamics of the solvent molecules. The challenge is posed by the wish to reproduce the data in a broad range of magnetic fields (not only at high fields) and by the need to explain the differences in the relaxation scenarios for water and glycerol/water solutions by varying only the solvent parameters. The second purpose is to get insights into the magnetic properties (electronic relaxation properties) of the nanoparticles due to their high applicational potential.

What if GPT4 Became Autonomous: The Auto-GPT Project and Use Cases

Auto-GPT is a product of an experimental project that makes the use of GPT-4 autonomous. Notably, Auto-GPT emerged and spread rapidly, while the echo of OpenAI's ChatGPT continues. However, there are insufficient studies on this new application in related literature. The purpose of this exploratory case study was to explore the different use cases and experiences of Auto-GPT users. For this purpose, 16 users with an Auto-GPT experience on the GitHub platform were interviewed. Thematic content analysis was performed on the qualitative data. AutoGPT experiences of users can be characterized by learning programs, autonomous applications, conducting research, and writing reports. The results of this study showed that content creation is the most important purpose of using Auto-GPT. As independent research functions of Auto-GPT, users also emphasize data summarization and information organization. However, the participants also pointed out the token limit (inefficiency), forgetting generated tools, and iteration as some prominent limitations of Auto-GPT. It is possible to say that Auto-GPT has a high potential to use in also in educational purpose, but it is still in the development stage.