Our Work

В последние годы наблюдается увеличение спроса на новые материалы на основе интерполиэлектролитных комплексов (ИПЭК), которые представляют особый класс полимеров, образующихся в результате кооперативн…

В последние годы наблюдается увеличение спроса на новые материалы на основе интерполиэлектролитных комплексов (ИПЭК), которые представляют особый класс полимеров, образующихся в результате кооперативных обратимых реакций взаимодействия противоположно заряженных макроионов [1-2].

La Teoria del Contenimento nei sistemi umani. Dalla teoria al framework applicativo propone una prospettiva funzionale per comprendere come i sistemi umani si confrontino con la complessità del…

La Teoria del Contenimento nei sistemi umani. Dalla teoria al framework applicativo propone una prospettiva funzionale per comprendere come i sistemi umani si confrontino con la complessità della propria esperienza e mantengano la propria continuità evolutiva. Il lavoro esplora il contenimento come fenomeno ricorrente attraverso diversi livelli dell’esperienza umana, dalle relazioni primarie e dall’esperienza individuale fino alle famiglie, ai gruppi, alle organizzazioni e ai sistemi sociali, preservando al contempo la specificità dei processi e delle discipline coinvolte. La prospettiva teorica è affiancata da un framework applicativo finalizzato a supportare l’analisi di sistemi umani concreti e la progressiva organizzazione della loro complessità, senza sostituirsi ai paradigmi specialistici e alle metodologie necessarie per comprendere fenomeni specifici e orientare l’intervento. Il volume costituisce la prima edizione italiana dell’opera unitaria già pubblicata in lingua inglese. Riunisce e sviluppa ulteriormente due lavori originariamente pubblicati in italiano nel corso del mese di agosto del 2026, integrandone le dimensioni teorica e applicativa e includendo le precisazioni teoriche e terminologiche introdotte nel lavoro di integrazione e revisione.

This dataset provides georeferenced vegetation-index raster products derived from UAV multispectral and RGB imagery acquired in July 2020 over the archaeological area of the Villa of Domitian at Sabau…

This dataset provides georeferenced vegetation-index raster products derived from UAV multispectral and RGB imagery acquired in July 2020 over the archaeological area of the Villa of Domitian at Sabaudia (Lazio, Italy).The survey was conducted using a SenseFly eBee fixed-wing UAV equipped with a Parrot Sequoia multispectral sensor and a SenseFly S.O.D.A. 3D RGB camera. The dataset forms part of an integrated remote-sensing investigation combining UAV LiDAR, multispectral and RGB imaging for the identification and interpretation of vegetation and topographic anomalies associated with the archaeological landscape of the Roman imperial villa.The repository contains two types of vegetation-index products. GNDVI, LCI, NDRE and NDVI are preserved as quantitative single-band 32-bit floating-point GeoTIFF rasters containing continuous index values. EXG, GLI, RBGI, TGI and VARI are preserved as rendered RGB(A) GeoTIFF products. MCARI, although derived from the multispectral workflow, also survives as a rendered RGB(A) product. The rendered products are intended primarily for visualisation, spatial comparison and qualitative interpretation, and should not be used as substitutes for the unavailable continuous numerical index rasters.All products are georeferenced in WGS 84 / UTM Zone 33N (EPSG:32633). The original processing projects and some intermediate products are no longer available; the repository therefore preserves the surviving processed raster products without attempting to reconstruct missing data.The acquisition and processing methodology, and the archaeological application of these data, are described in:  Ronchi, Limongiello and Barba (2020), “Correlation among Earthwork and Cropmark Anomalies within Archaeological Landscape Investigation by Using LiDAR and Multispectral Technologies from UAV”, Drones, 4(4), 72, DOI: 10.3390/drones4040072.This dataset complements the associated UAV LiDAR dataset: “UAV LiDAR Survey of the Villa of Domitian at Sabaudia (Italy): Point Cloud and Digital Terrain Model”, Zenodo, DOI: 10.5281/zenodo.23038654.The data support the archaeological analyses presented in the open-access monograph *La villa di Domiziano a Sabaudia. Una residenza imperiale sulle sponde del Lago di Paola* (Ronchi, ed., Costruire nel Mondo Antico, vol. 14, Quasar, 2026).

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23080514. The research question is relevant and important, p…

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23080514. The research question is relevant and important, particularly because clinical AI tools can directly influence patient care and healthcare decision-making. The study addresses whether a structured rubric can practically and reproducibly assess ethical issues in clinical AI tools before and after deployment. Strengths 1. The rubric provides a concise and practical framework that could be useful for clinicians and other healthcare professionals who are not AI specialists. 2. The five domains—Evaluation Population, Accessibility, Clinical Bias, User Control, and Monitoring and Updates—cover several important ethical dimensions. 3. Using publicly available information makes the assessment more realistic for hospital procurement boards and clinical departments that may not have access to proprietary AI-development data. 4. The study has a multidisciplinary perspective involving clinical and AI expertise. 5. The tables provide a relatively clear presentation of the scoring framework. Scoring methodology 1. A major concern is the use of an unweighted linear composite score. 2. High scores in some domains could potentially compensate for a serious weakness in Clinical Bias or another high-risk domain. 3. The authors should consider explaining why all domains receive equal weight and whether some ethical risks should have greater influence on the overall assessment. Inter-rater reliability 1. The rubric-development process would be stronger if the authors reported measures of inter-rater reliability, such as Cohen's kappa or another appropriate statistic. 2. This is particularly important because reproducibility is one of the stated purposes of the rubric. Publicly available information 1. Restricting the assessment to publicly available information is understandable and has practical value, but it may also result in incomplete assessment of AI tools. 2. The manuscript should clearly acknowledge how missing or unavailable information affects the scoring. Selection of AI tools 1. Only three AI tools were evaluated. 2. The authors should provide clearer criteria for why these three tools were selected and acknowledge that the small sample limits the generalizability of the findings. Validation 1. The current study demonstrates the application of the rubric but does not constitute full validation. 2. Further testing with a larger and more diverse set of AI tools and independent reviewers would strengthen evidence for the rubric's reliability and validity. Reproducibility and thresholds 1. Table 2 makes the scoring framework relatively clear, but the manuscript does not appear to establish explicit thresholds for what constitutes acceptable, concerning, or unacceptable ethical risk. 2. Defining such thresholds could make the rubric more actionable for healthcare organizations. Comparison of AI tools 1. The numerical scores (Abridge 8/10, UTICalc 6/10, and Medihub Prostate 3/10) are useful for illustrating the rubric. 2. A visual comparison, such as a bar chart, could make the differences between the tools easier to interpret. Conclusions The conclusions generally follow from the findings. However, statements suggesting that the rubric will improve patient trust, clinical practice, or patient outcomes should be presented as potential benefits rather than established effects, because these outcomes were not directly evaluated in the study. Limitations The authors should emphasize the limitations associated with: the small number of AI tools assessed; reliance on publicly available information; absence of full validation; and the focus on clinical AI tools rather than potentially broader applications. Readability Some sections could be simplified to improve accessibility, particularly for researchers and reviewers whose first language is not English. Future research 1. Future studies could test the rubric across a larger and more diverse range of clinical AI tools and healthcare settings. 2. Further research could also examine how the rubric performs when incorporated into actual health-system governance and procurement processes. Overall assessment 1. The rubric addresses a meaningful gap by providing a structured approach to evaluating ethical considerations in clinical AI tools. 2. Its practical value is promising, but additional validation, clearer risk thresholds, reliability testing, and broader application would strengthen the methodology and support wider adoption. 3. These comments are based directly on the reviewers' notes in the uploaded Live Review document. Feedback for Authors: Abeer Abdoon: This study addresses an important and timely issue by providing a practical framework for assessing ethical considerations in clinical AI tools. The five-domain rubric is clearly structured and has potential value for clinicians and healthcare organizations, particularly when detailed information about proprietary AI systems is not readily available. The multidisciplinary approach and practical application to clinical AI tools are also strengths. The manuscript could be strengthened by providing additional justification for the equal weighting of the five domains and by reporting inter-rater reliability to support the reproducibility of the rubric. It would also be helpful to clarify how missing publicly available information affects scoring, provide clearer criteria for selecting the evaluated AI tools, and define thresholds for interpreting overall ethical risk. The authors should be cautious about presenting potential effects on patient trust, clinical practice, or outcomes as established benefits, since these were not directly evaluated. Overall, broader testing with more AI tools and independent reviewers would provide stronger evidence for the rubric's reliability, validity, and applicability. Nusiba Dafalla This preprint aims to study the matter of healthcare organizations conducting a systematic, quantitative, and reproducible assessment of the ethical implications of clinical AI tools at pre- and post-deployment phases due to the expanded usage of AI in healthcare field and that is the main contribution of this study. The clinical AI's influence on patient care and healthcare decisions is critical, that's why the main goal of this preprint is to create a scoring system that health care healthcare organizations use to identify and evaluate ethical issues related with AI tools both before and after their deployment. This is important because these clinical AI can affect patients, and healthcare decisions if not been dealt with carefully, and that is an excellent contribution to the clinical field. What is more fascinating is that trial of the effective usage of publicly available information reflects the constraints faced by hospital procurement boards and clinical departments that may not have access to vendors' own algorithms. This standard also complements existing clinical reporting guidelines by providing a quantitative approach to ethical governance, and giving each of the AI tools they used a number from 1 to 10. One of the greatest features of this study is including even the researchers who are not familiar with AI usage of knowing how to use it, and also represents a practical checklist that enables non-AI-specialist clinicians to conduct standardized ethical screening. also the details provided in the preprint were enough information to understand the main method and how the rubric was applied. I would recommend for the author to figure a way to include researchers who are not related to the medical field to use it also, and to deal with the unweighted linear scoring permits strong scores in bureaucratic sections (like Accessibility) to conceal grave risks in essential safety domains (such as Clinical Bias), thus showing a bias towards clinical usage exclusively. Also as for the graphs used (tables) i think it would have been easier if the Authors used bar charts for the comparison. Regardless of that it provides a clear, actionable checklist guidance matrix. Although the approach used is appropriate for developing and demonstrating a rubric; but has some major issues such as not being sufficient yet for full validation, also the development process relied on expert consensus, but no inter-rater agreement metrics (e.g., Cohen's kappa) were measured across independent scorers, Summing scores across domains assumes equal ethical weight. A tool with known clinical bias (-1) could still receive an overall positive score (4/10) if other domains score well, also the study relied only on publicly available data this creates limitations. Nasteha Abubakar With the Increase use of AI in clinical setting their ethical Implications has to be considered and since these tools influence patient-care,Clinical decision-making its important to have structured approach to identify potential ethical risks before and after their deployment. The study developed a structured scoring rubric designed to assess ethical issues associate with these tools,the rubric provided a framework that can be used to examine different ethical dimensions,the authors later tested this rubric using three AI tools that are currently used in clinical settings. Overall the proposed scoring system can support healthcare organizations identify and evaluate ethical concerns both before and after the deployment of these AI tools. Competing interests The authors declare that they have no competing interests. Use of Artificial Intelligence (AI) The authors declare that they did not use generative AI to come up with new ideas for their review.

IIntroduction. In the context of increasing territorial unevenness in economic development, the search for eff ective mechanisms for aligning scientifi c and educational potential with regional g…

IIntroduction. In the context of increasing territorial unevenness in economic development, the search for eff ective mechanisms for aligning scientifi c and educational potential with regional growth strategies is becoming increasingly important. The relevance of this study stems from the need to bridge the gap between universities' contribution to the global scientifi c agenda and their ability to stimulate local economic renewal, especially in less developed regions. The presence of a university does not automatically guarantee regional renewal; the effects depend on the territory's ability to absorb and utilize knowledge. The aim of this study is to identify the conditions under which the activities of universities and higher education institutions become drivers of regional development, using three cases from the Czech Republic: Ústínad Labem University (J. E. Purkyně University), Vysočina Region (Jihlava Polytechnic College),and Olomouc Region (Palacký University in Olomouc). Materials and Methods. A qualitative comparative study was conducted at the meso-level (region). The unit of analysis was the “university – region” confi guration. Cases were selected using purposive sampling with maximum variation: they represent various territorial structures (post-industrial, rural production, and internally divided regions) and different types of universities (comprehensive, applied polytechnic, research). Data sources included official indicators from the Czech Statistical Office (GDP per capita, unemployment rate, student enrollment) and third-party studies. The analytical procedure included structured comparison, pattern matching, and analytical synthesis. Results. It is shown that universities and colleges face strategic overload: local stakeholders expect them to solve practical regional problems, while national funding systems reward prestige, publication activity, and globally signifi cant research results. A comparison of three cases demonstrates that a university's infl uence on regional development is conditional: it increases with demand for qualifi ed personnel, innovative firms, institutional intermediaries, and coordination between the university, government, and business. In regions with weak absorptive capacity, knowledge and graduates are redirected outward. Conclusion. The conclusion is that less developed regions benefi t most not from simply expanding higher education off erings, but from integrating universities into a broad development coalition capable of transforming knowledge into locally rooted economic and social renewal. The results are useful for regional authorities, municipalities, university administrators, relevant ministries, and innovation agencies in developing territorially differentiated strategies. 

Postmenopausal osteoporosis (OP) represents one of the most significant geriatric challenges in contemporary medicine due to progressive skeletal fragility and a substantial risk of low-energy fractur…

Postmenopausal osteoporosis (OP) represents one of the most significant geriatric challenges in contemporary medicine due to progressive skeletal fragility and a substantial risk of low-energy fractures. Under conditions of estrogen deficiency, a marked acceleration of bone resorption occurs, leading to an imbalance between osteoblastic bone formation and osteoclastic degradation. Monitoring specific biochemical markers of bone remodeling and assessing vitamin D status allow for an in-depth characterization of the intensity of metabolic disorders directly at the systemic skeletal level. 

Solanum nigrum L. (Manathakkali), a member of the family Solanaceae, is a small herbaceous plant that has long occupied a place in folk and traditional medicine on account of its reported antioxidant,…

Solanum nigrum L. (Manathakkali), a member of the family Solanaceae, is a small herbaceous plant that has long occupied a place in folk and traditional medicine on account of its reported antioxidant, anti-inflammatory and mucosal-protective properties. In the present investigation, a churnam (fine herbal powder) was prepared from the leaves of S. nigrum and subjected to a systematic pharmacognostical and physicochemical standardization protocol, followed by preliminary screening for anti-inflammatory and antioxidant activity. The dried leaf powder was characterized through organoleptic and powder-microscopic examination, and its physicochemical constants — loss on drying, total ash, acid-insoluble ash, water-soluble ash, extractive values in chloroform, methanol, acetone and water, foaming index and swelling index — were determined and compared against acceptable pharmacopoeial ranges. Qualitative phytochemical screening of the ethanolic leaf extract confirmed the presence of carbohydrates, proteins, alkaloids, glycosides, flavonoids, tannins and saponins. The bovine serum albumin (BSA) protein-denaturation-inhibition assay was employed to gauge anti-inflammatory potential, while the DPPH free-radical-scavenging assay was used to estimate antioxidant capacity, both assays being run in parallel with aspirin and ascorbic acid, respectively, as reference standards. A clear, concentration-dependent response was recorded for the test churnam in both assays: 74.70% inhibition of protein denaturation and 65.57% radical-scavenging activity were achieved at the highest concentration tested (50 µl), corresponding to roughly 85% and 80% of the respective standard drug responses. These findings lend preliminary scientific credibility to the ethnomedicinal use of S. nigrum in inflammatory and ulcer-related gastric conditions and support its candidacy as a low-cost, plant-derived adjunct or alternative to conventional anti-ulcer therapy. The standardization parameters generated in this work may additionally serve as quality-control benchmarks for future formulation and regulatory work involving this drug. Confirmation of an actual gastroprotective effect, however, will require follow-up in vivo investigation using established ulcer models such as pylorus ligation or ethanol-induced gastric injury.

This deposit contains the analysis scripts and processed result tables for a study of the temporal representativeness of single-sample stool metagenomic detection of the colibactin pks genomic island.…

This deposit contains the analysis scripts and processed result tables for a study of the temporal representativeness of single-sample stool metagenomic detection of the colibactin pks genomic island. The work is a secondary analysis of the publicly available longitudinal UMB cohort (Worby et al., Nature Microbiology 2022), comprising 371 biological stool samples from 31 women followed for approximately one year. Shotgun sequencing data are available from NCBI BioProject PRJNA400628. Contents: mapping and statistical analysis scripts; run-to-biological-stool manifests; detection-aware per-sample tables; downstream result tables covering depth-aware detection limits, within-participant temporal agreement, repeated-sampling detection yield, study-group and antibiotic sensitivity analyses, E. coli abundance analyses and sequence-level quality control; and reproduction logs with separate records of the original and reproduction software environments. Not included: raw sequencing reads, alignment files, the local reference FASTA, and third-party UMB-study metadata and MetaPhlAn2 profiles. The third-party files required for full downstream regeneration are retrieved directly from the original authors' repository by scripts/fetch_umb_inputs.sh and are not redistributed here. Reproduction: running scripts/fetch_umb_inputs.sh followed by run_downstream.sh regenerates the downstream result tables. Bootstrap analyses use participant-level resampling with 100,000 replicates and a fixed seed (20260929). Original analysis environment: fastp 1.3.7, Bowtie2 2.5.5, SAMtools 1.24, Python 3.11.16, NumPy 2.4.6, pandas 3.0.5. License: MIT for the original scripts, documentation and result tables in this deposit. Third-party source data are neither relicensed nor redistributed.

Historical questionnaire/s  1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und…

Historical questionnaire/s  1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen] Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).