bluuebunny/crossref_metadata_2025 huggingface dataset:
Textile Collage as the Artistic Method to Comprehend Industrial Memory: the Analysis of the Project “Radiant City” by Elena Sharganova
Authors: Golman Evgeniya
Published: September 2024

The article is focused on the sociological analysis of the project “Radiant city” of Elena Sharganova, resident of the tenth season of Open Studios at the Center of Contemporary Art Winzavod (2023/24), that is devoted to the artist’s hometown — Nelidovo — and consists of a series of textile collages, made with mixed media techniques including photo printing, cyanotype, machine seam, hand embroidery. Sociological conceptualization of the project is made based on the interview with the artist, analysis of archive publications kindly provided by the artist, and researches on social memory and industrial cities. Based on the interpretation of collages as spaces of representation in terms of Henri Lefebvre that represent a zone of experience, in which images and symbols fill in physical space and knowledge about it, the article shows that the “Radiant city” is the artist’s reflections on Nelidovo’s unrealized development trajectories and destinies of small industrial cities in general. There are three key topics raised by the artist in this project: disappointment in communism and nostalgia for the past, the problem of small industrial cities’ development, interrelation of collective and individual memory. Elena Sharganova’s project significance is defined by experiments with art mediums and a research approach that brings together art and social issues.
Medium-term forecast of the dynamics of life attitudes of Russians
Authors: Sheregi Frants , Privedentseva Olga
Published: September 2024

The article presents a method for forecasting trends in changes in mass consciousness in terms of life attitudes, i.e. those values according to which people try to build their lives. Modern applied sociology successfully uses the forecast of electoral and consumer behaviour of citizens. The time lag of forecast reliability: for electoral behaviour - 4-5 weeks, for consumer behaviour - up to a year. Forecasting for 10-20 years is practiced mainly in demography. It is more difficult to forecast changes in mass consciousness based on value attitudes of citizens. If we assume that the development of the state is evolutionary, then the combination of heuristic and mathematical methods allows us to forecast trends in the attitudes of the population aged 40 and older, as basic for the economic and political functioning of the state. In methodological terms, the article proposes a procedure for forecasting trends only, without claiming high accuracy of numerical indicators, with mandatory consideration of weak variability of basic numerical indicators measured as of 2024. To forecast trends, there were used data from an all-Russian representative sociological study, accumulated in integral indices, as well as in verbal constructs using factor analysis. The combination of these methods allowed to make a generally stable 20-year forecast of trends in changes in the life attitudes of Russians. As a tool for a detailed forecast indices as integrated indicators of the intensity and direction of a trend were used, and for a generalised forecast - verbal constructs formed on the basis of factor analysis. The choice of the subject of the forecast is based on the hypothesis that the "catalyst" of life attitudes are three components of life activity: the life trajectory chosen by the individual, including the preferred types of life activity; the identification of the individual with reference groups as a contact environment, a mechanism of value communication and self-realisation; the choice of forms of social behaviour by the individual based on the basic moral principles of people's life activity. These three aspects of the population's life activity are not only socially (phylogenetically), but also to a large extent biologically (ontogenetically) determined, therefore they are highly stable, that allows us to talk about the stability of the medium-term forecast of trends in the interval of up to 20 years. Thus, the article proposes the tested in an applied sociological study combined method of medium-term forecast of social groups' attitudes in a situation where repeated studies are not conducted to build a dynamic series of empirical indicators. The forecast presented in the article operates with indicators that are important for consideration in the practice of medium-term planning of the state’s social policy.
Digital HRM and Electronic HRM: which relation? A conceptual clarification with insights into sustainability through the PRISMA protocol
Authors: Barghini Silvia , Bonti Mariacristina
Published: September 2024

The phenomenon of digitalization started a long time ago and in a short time it has entered companies by evolving their areas, including the HRM. Nowadays, there is more and more talk of the twin transition, i.e. how to become more digital and sustainable. Nevertheless, literature on the topic is in its infancy and suffers from some gaps. This article therefore aims to fill them by providing a systematization of the literature on HRM digitalization, identifying the relationship between d-HRM and e-HRM, and highlighting how this literature addresses the issue of corporate sustainability. Following the PRISMA protocol, a systematic literature review supported by some bibliometric analyses was developed to answer the research questions fully and exhaustively. This article aims to offer an interpretative framework to organizations and practitioners to better manage the digital transition and its links with sustainability. Some suggestions for future research are also provided.
Melanin Synthesis Gene Inhibition Effect through Inhibition of Tyrosinase and TRPs Expression of Coriandrum sativum-derived Exosome
Authors: Park Ha young , Lee Seon Young , Kang Min Ho , Park Jung Eun , Kim Jin Woo
Published: September 2024

Purpose: This study investigated the skin-whitening effects achieved through suppressing melanin synthesis using exosomes derived from Coriandrum sativum (C. sativum).Methods: We examined the characteristics of C. sativum exosomes (CSEs) using nanoparticle tracking analysis, which revealed an average size of 152.3 nm and a concentration of 3.0×1010 particles/mL. A cytotoxicity evaluation was conducted on B16F0 cells to assess cellular safety of CSEs. We investigated the skin-whitening effects of CSEs by quantifying melanin synthesis gene expression using RT-PCR.Results: CSE concentrations less than 1.5×108 particles/mL did not negatively affect cellular activity. Furthermore, CSE treatment significantly decreased the expression of key genes involved in melanin synthesis such as tyrosinase, TRP-1, and TRP-2 by 75.6%, 89.1%, and 88.7%, respectively.Conclusion: CSEs hold promise as functional cosmetic ingredients that promote skin whitening by inhibiting key genes involved in melanin production.
Anti-inflammatory Effect of Dictyopteis undulata in RAW 264.7 Cells
Authors: Shim Joong Hyun
Published: September 2024

Purpose: This study aimed to analyze the anti-inflammatory effects of Dictyopteris undulata extract on skin using RAW 264.7 cells.Methods: Its anti-inflammatory effects on RAW 264.7 cells were evaluated by measuring the cell viability, gene expression levels (IL-1α/IL-1β/IL-6 and TNF-α), and nitric oxide (NO)/prostaglandin E2 (PGE2) production.Results: Quantitative real-time polymerase chain reaction showed that the D. undulata extract decreased the mRNA levels of IL-1α/IL-1β/IL-6 and TNF-α. Additionally, PGE2/NO detection revealed that D. undulata extract exhibited anti-inflammatory properties.Conclusion: D. undulata extract is a potential anti-inflammatory compound. Further study on the anti-inflammatory mechanisms of D. undulata extract would facilitate the development of cosmeceutics and pharmacological treatments.
Brainwave and Emotional Responses of Male and Females to Munsell’s Five Primary Colors
Authors: Kim Min-Kyung
Published: September 2024

Purpose: The goal is to use quantified EEG and emotional responses to objectively assess the effects of color using gender-specific EEG data, as well as to analyze emotional responses concerning the psychological effects of color modulation. This study intends to apply these findings in various fields. Through this, we hope to better understand how color stimuli affect cognitive responses, brain activity, and emotional regulation.Methods: In this study, we evaluated the EEG and emotional responses to five basic color stimuli in male and females in their 20s. EEG analysis was performed using the Coefficient of Variation for the Brainwaves (CVBs), which is the ratio of the relative brainwave power difference to the baseline brainwave. The five colors were specified using the Munsell notation and RGB values. Emotional responses were evaluated using 10 pairs of adjectives to calculate the preference index(PI), average preference index(API), and favorability. The EEG and emotional evaluations were statistically analyzed using repeated-measures ANOVA in SPSS 22.Results: The EEG responses to the five-color stimuli revealed that both male and female experienced increased concentration and arousal with the red (R) and purple (P) stimuli. Colors yellow (Y) and green (G) caused relaxation and comfort in both genders. While male and females had different emotional responses to each color, the reactions were generally similar. Both male and females preferred the color R, while Y and P were equally popular. Color R significantly activated β and γ waves associated with concentration and arousal in both genders. Warm colors were found to elicit arousal, while cool colors induced feelings of comfort, as evidenced by EEG and emotional responses. The findings showed that EEG and emotional responses to color stimuli were similar across genders and that color had a significant and meaningful impact on brainwaves and emotions.Conclusion: The quantified findings of color-based brainwaves and emotional responses can be applied to various fields that use colors. By leveraging these findings, color perception is expected to have a strong influence on human brain activity and emotional regulation.
Anti-inflammatory and Anti-angiogenic Effects of Bioconverted Picrasma quassioides Extract: A Comparative Study on NF-κB Signaling Pathway Inhibition and Angiogenesis Suppression
Authors: So Kyeong-Seok , Lee John Hwan , Oh Hanna , Kang Hee-Cheol , Seo Wonsang , Kim Yong-Woo , Bae Seunghee
Published: September 2024

Purpose: This study aimed to compare the anti-inflammatory and anti-angiogenic properties of bioconverted Picrasma quassioides extract (B-P.Q) with those of the non-bioconverted extract (P.Q) and peony root bark extract (BOT).Methods: The research utilized several experimental techniques, including cell viability assays on NIH 3T3 fibroblasts, measurement of NF-κB-related signaling protein activation, chorioallantoic membrane (CAM) assays, tube formation assays, and cell migration inhibition assays using human umbilical vein endothelial cells (HUVECs). These methods were employed to evaluate cytotoxicity, anti-inflammatory effects, and anti-angiogenic properties of the extracts.Results: B-P.Q demonstrated no cytotoxicity at the tested concentrations and significantly inhibited the activation of NF-κB-related signaling proteins (p-p38, p-Akt-1, p-SAPK/JNK, p-MEK1/2, and p-IκB) compared to P.Q and BOT. In angiogenesis experiments, B-P.Q showed superior inhibition of new blood vessel formation in CAM assays, effectively suppressed tube formation, and significantly inhibited HUVEC migration compared to controls and P.Q.Conclusion: The study found that bioconverted Picrasma quassioides extract (B-P.Q) has strong anti-inflammatory and anti-angiogenic properties, consistently outperforming non-bioconverted P.Q and BOT in various experimental models. These results suggest that B-P.Q holds significant promise as a therapeutic agent for chronic inflammatory conditions, particularly those involving excessive angiogenesis. The research underscores the effectiveness of bioconversion in enhancing the bioactive properties of natural extracts and opens up new possibilities for developing treatments for inflammatory skin problems.
Community Structure of Fishes the Association with Seagrasses at Bama Beach, Baluran National Park, Situbondo, East Java
Authors: Setyanto Arif , Andriani Dina , Sulkhani Yulianto Eko , Tumulyadi Agus , Bintoro Gatut , Djoko Lelono Tri , Adhihapsari Wirastika , Nur Hidayah Lisa , Isdianto Andik , Zakiyah Umi , Lanudia Fathah Aulia , Kurnia Wardana Novar , Mahardika Putri Berlania
Published: September 2024

Seagrass bed has an important role for biota in waters. The existence of fish in seagrass is influenced by other ecosystems close to seagrass, such as mangroves and coral reefs. This study focuses on fish associated with seagrass in Bama Beach. The data include seagrass coverage and the number of fish for the Diversity, Uniformity, and Dominance. The study was carried out on March 15 to 20, 2018 using the Underwater Visual Census. Results show that seagrass cover was highest in seagrass stations near mangroves (62,66%), while at stations near coral reefs was 37,66. The composition of fish associated with seagrass near mangroves was 361 individuals, while near reefs was 1.454 individuals. The values of diversity, uniformity, and dominance of fish associated with seagrass near mangroves are 2,62; 0,88; and 0,09 respectively while those associated with coral reefs have values of 2,93; 0,85; and 0,06. Family Aulostomidae was dominant in the morning at the station near mangroves, and in the afternoon was dominated by Apogonidae. At the station near coral reefs, the Family Pomacentridae was dominant both in the morning and afternoon. The seagrass conditions in this study are in the healthy category with quite diverse fishes. The level of fish diversity in seagrass was influenced by habitats associated with seagrasses than seagrass cover levels. The condition of Bama Beach as a conservation area is quite good, but the activity of tourists around the coastline must be monitored to maintain the environment.
Plasma extracellular vesicle: a novel biomarker for neurodegenerative disease diagnosis
Authors: Zhao Xinrui , Huang Shenglin
Published: September 2024

Extracellular vesicles (EVs) are membrane-bound structures that carry proteins, lipids, RNA, and DNA, playing key roles in cell communication and material transport. Recent research highlights their potential as disease biomarkers due to their stability in bodily fluids. This study explores using tau and TDP-43 proteins in plasma EVs as diagnostic biomarkers for frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS). Analyzing plasma EVs from clinical cohorts, the study found that the 3R/4R tau ratio and TDP-43 levels effectively differentiate between diagnostic groups with high accuracy. Notably, plasma EV biomarkers demonstrate higher diagnostic accuracy and stability compared to direct plasma testing, providing new insights and approaches for future research and clinical practice. Further research is needed to validate these biomarkers in diverse populations and to establish standardized protocols. Future studies should continue to explore the potential of EV biomarkers in a broader range of neurodegenerative diseases and delve deeper into the mechanisms of EV secretion and sorting to enhance their diagnostic utility.
The Effect of Harvest Time of Sapu-Sapu Leaves (Baeckea frutescens L.) the Yield, Characteristics and Composition of Essential Oils Extached Using Steam-Hydro Distillation Method
Authors:   Department of Chemistry, Faculty of Science and Engineering, Bangka Belitung University, Bangka, Indonesia ,, Elicia Resta , Roanisca Occa , Asriza Ristika Oktavia
Published: September 2024

The sapu-sapu plant (Baeckea frutescens L.) is widespread in the Bangka Belitung Islands Province, thriving in sandy areas such as beaches and highlands with less fertile soil. This study aimed to determine the optimal harvest time for sapu-sapu leaves to obtain essential oils' highest yield and most desirable characteristics. The research focused on the duck-type sapu-sapu leaves, using five variations of harvest time (coded as A1, A2, A3, A4, and A5, representing leaves harvested at 1, 2, 3, 4, and 5 months of growth, respectively). Essential oil extraction was performed using the steam distillation method. The resulting oils were then analyzed using Gas Chromatography-Mass Spectrometry (GC-MS) to determine their chemical composition. The results showed that sample A1 (1-month growth) produced the highest essential oil yield at 0.74% (w/w). This sample also exhibited the most optimal essential oil characteristics: clear yellow color, characteristic sapu-sapu odor, warm bitter taste, solubility in 96% ethanol at 1:13, specific gravity of 0.8863 g/mL, optical rotation of (+) 10.28°, and refractive index of 1.474. GC-MS analysis revealed that the main compounds in the A1 sample were α-pinene (43.84%), β-pinene (13.56%), and 1,8-cineol (24.26%). The study concluded that while the variation in harvest time of sapu-sapu leaves did not significantly affect the yield, characteristics, or composition of the essential oils, there were slight differences in yield and color. Sample A1, representing the youngest leaves, produced the most optimal results.
Dynamics of Physicochemical Parameters as Indicator of Water Quality: A Study of Ogun River, Nigeria
Authors:   National Research Institute for Chemical Technology, Zaria, Nigeria, O. B Adestina , E. D. Paul , A. A. Nuhu , C.C Onoyima , F. G. Okibe
Published: September 2024

Environmental pollution is increasingly becoming a major global problem. Surface water pollution impacts human life and the ecosystem, emphasizing the need for water quality assessment and monitoring. In this study, water Samples were collected in Ogun River for two years (twice a year) and analyzed for the physicochemical parameters using standard methods. The results show that there was spatial and seasonal variation in the water quality of the river. The physical parameters Turbidity, EC, and TDS had significant positive correlations with each other but correlated negatively with DO and pH. A significant positive correlation also existed between pH and DO (0.918). Cluster analysis grouped the parameters into three clusters, while the PCA yielded 2-components, which explained 85.61 % of the total variance in the data set. Component 1 accounts for 69.26 % of the total variance and has strong positive loadings for Turbidity, EC, and TDS and strong negative loadings for pH and DO. Component 2 accounts for 16.35 % of the total variance, with strong positive loading for BOD. The results indicate that factors that increase the Turbidity, EC, and TDS levels will decrease the levels of pH and DO while exerting a less significant effect on BOD. This study provides valuable insight into the changes and interactions of parameters that affect the water quality, which is crucial for the sustainability and quality management of the water system.
Bioactive Compounds Investigation and Antioxidant Activities in Extracts and Fractions of Tamarindus Indica (Aradib) From Sudan
Authors:   Department of Chemistry, Faculty of Education, University of Khartoum, P.O.Box406, Khartoum, Sudan ,, Ahmed Mona Alhasien , Mohammed Abuelgasim Abbaker , Ishag Khogali Elnur
Published: September 2024

Tamarindus indica is commonly used interest in Sudan for edible plant and medicinal use. This study aimed to determine bioactive compounds, and antioxidant activities in extracts and fractions of Tamarindus indica pulp grown in Sudan. The powdered plant was extracted with ethanol, ethyl acetate, and acetone using an ultrasonic technique. The residue of the ethanol extract was fractionated using successive solvents. The extracts and fractions were determined for their phenolics, flavonoids, and tannins contents, and analyzed bioactive compounds by Gas Chromatography-Mass Spectrophotometer, and also evaluate their antioxidant activities using the 2, 2-diphenyl-1-picryl-hydrazyl, reducing power and hydrogen peroxide scavenging methods. The results show that the total phenolics, total flavonoids, and total tannins levels were significantly higher in the ethyl acetate fraction than in other extracts and fractions. GC-MS analyses of extracts and fractions showed a variety of bioactive compounds such as Hexadecanoic acid, Stigmasterol, Maltol, Sitosterol, Vitamin E, Allose, Tartaric acid, and Vaccenic acid. All the extracts and fractions exhibited good antioxidant activities. The extracts and fractions of Tamarindus indica pulp are sources of natural antioxidants and other bioactive compounds, which are beneficial effects on human health and the possibility of application in the pharmaceutical industry.
Beyond the Typology: Linking Composite Sustainability to Urban Fabrics to Assess Spatially-Disaggregate Patterns in Cuenca, Ecuador
Authors: Calderón Francisco , Orellana Daniel , Carrasco Maria Isabel , Astudillo Johnatan , Hermida M. Augusta
Published: September 2024

Understanding the relationship between urban fabrics and sustainability is critical for addressing contemporary urban challenges. Urban fabrics contain information that reveals the performance and spatial heterogeneity of urban systems. This study evaluates the variability and spatial patterns of sustainability indicators across different urban fabric typologies in Cuenca, Ecuador. Using a 150-radius hexagonal grid covering the study area, 30 sustainability indicators are assessed in this study, exploring their spatial patterns and relationships with urban fabrics trough spatial and statistical analyses and visualization techniques. Results reveal significant variability among urban fabrics, with built environment indicators playing a dominant role in overall sustainability. There is evidence of marked spatial heterogeneity, with inner-core areas showing higher sustainability, while fringe expansion areas lag, and transitional areas also identified. Spatial clusters of high or low sustainability fabrics tend to be homogeneous, whereas mid-range sustainability fabrics exhibit greater heterogeneity. This quantitative evidence highlights hidden patterns in urban morphology and sustainability, offering valuable insights to support and enhance evidence-based urban planning. The open-source data and tools reported are developed to allow for customisation as well as replication in other urban areas.
Bridging the Gap Between Black Box AI and Clinical Practice: Advancing Explainable AI for Trust, Ethics, and Personalized Healthcare Diagnostics
Authors: Tuan Dang Anh
Published: September 2024

Explainable AI (XAI) has emerged as a pivotal tool in healthcare diagnostics, offering much-needed transparency and interpretability in complex AI models. XAI techniques, such as SHAP, Grad-CAM, and LIME, enable clinicians to understand AI-driven decisions, fostering greater trust and collaboration between human and machine in clinical settings. This review explores the key benefits of XAI in enhancing diagnostic accuracy, personalizing patient care, and ensuring compliance with regulatory standards. However, despite its advantages, XAI faces significant challenges, including balancing model accuracy with interpretability, scaling for real-time clinical use, and mitigating biases inherent in medical data. Ethical concerns, particularly surrounding fairness and accountability, are also discussed in relation to AI's growing role in healthcare. The review emphasizes the importance of developing hybrid models that combine high accuracy with improved interpretability and suggests that future research should focus on explainable-by-design systems, reducing computational costs, and addressing ethical issues. As AI continues to integrate into healthcare, XAI will play an essential role in ensuring that AI systems are transparent, accountable, and aligned with the ethical standards required in clinical practice.
Intervention Model to Improve Community Knowledge, Attitudes, and Behavior on Ecotourism Accessibility for People with Disabilities
Authors: La Patilaiya Hairudin udin
Published: September 2024

This study aims to evaluate the impact of the Intervention Model on improving community knowledge, attitudes, and behavior related to ecotourism accessibility for people with disabilities in Ternate City, with a focus on addressing gaps in understanding and support through educational services and distribution of educational materials in the form of brochures with a participatory approach. The research design used a quasi-experiment involving 4,964 residents, where 287 participants were randomly selected through Cluster Random Sampling. Three tourist destinations were chosen as research locations, namely Sulamadaha Beach, Tolire Besar Lake, and Batu Angus Geotourism in Ternate City, North Maluku. The results showed that the intervention significantly improved community knowledge, attitudes, and behavior related to ecotourism accessibility, with a significance value (Sig. (2-tailed) of 0.000 <α = 0.05) indicating a significant difference between the experimental group and the control group after community-based interventions were carried out. In conclusion, this model has been proven effective in improving community knowledge, attitudes, and behavior towards ecotourism accessibility and can be used as a reference for similar programs in other locations to improve ecotourism accessibility globally.
Principles of Integration Science Its Content, Methods, and Significance
Authors: Yang Yingrui
Published: September 2024

Interdisciplinary research consists of many levels and pathways. One research level that has emerged since the early 21st century is called integration science. Specifically, we focus on a research pathway that structurally integrates social sciences with theoretical physics from perspectives of dynamic analysis. Building on nearly 20 years of prior work, this paper proposes a basic theory of integration science, laying the theoretical foundation for its subsequent development. The significance of integration science operates on three levels. First, identifying structural connections between different disciplines helps in our holistic understanding of natural and social phenomena. Second, generally speaking, the current level of conceptualization and modeling in natural sciences, especially physics, is ahead of social sciences. Integration science research can help elevate the level of conceptualization and modeling in social sciences. Third, the structural similarity across different disciplines reflects the shared thinking of scientists from various fields. Integration science is not simply a synthesis of knowledge from different disciplines. The standard of integration science is to enable social sciences and natural sciences to share the same mathematical structures, thereby possessing a unified mathematical language for description. The empirical basis of integration science is discussed, proposing a unified theory of interdisciplinary scientific observation. This includes concepts like the directionality of scientific observation and the orthogonal principle, the concept of observational disturbance and the diagonal law, defining low and high disturbance quadrants, and discussing why different disturbance quadrants follow their respective mathematical paths. The basic theory of integration science is proposed. The application of category theory in integration science is introduced, along with the necessary semantic supplements. The fundamental concepts of integration mathematics are proposed, defining concepts like integration points, lines, plans, and bulks, and discussing their algebraic and functional analysis methods, thereby laying the mathematical foundation for the integration science. The structural force hypothesis is proposed, along with an axiomatic system of structural forces, thereby laying the philosophical foundation for integrative science. Based on prior work, specific cases of integrative points, lines, plans, and bulks are provided.
Metabolic Periparturient Diseases in Small Ruminants: An Update
Authors: Simões João , Margatho Gisele
Published: September 2024

Metabolic diseases are major diseases affecting animal welfare, health and production of small ruminants´ flocks for dairy and meat purposes. In breeding females, they mainly occur from six to eight weeks before and after parturition, respectively. The pregnancy toxemia and lactational ketosis are manifestations of hyperketonemia, primarily due to energetic deficit. Hypocalcemia and hypomagnesemia are related to the metabolic availably of calcium and magnesium, respectively. This review aimed to identify and discuss the current and most relevant aspects related to individual and herd heath management of these interrelated metabolic diseases with impact in the sheep and goats´ farm sustainability. These diseases are primarily due to nutritional deficit, but homeostatic and homeorhetic disruptions are responsible for clinical signs and forms. Currently, their clinical diagnosis and monitoring are mainly supported by biochemistry from animal fluids, and bromatological evaluation of the feed. Epidemiological studies, measuring risks factors, also contributes for their prevention. Nevertheless, research on specific biomarkers and composite indexes related to these diseases, in a context of herd health management and precision medicine, are new pathways driven to a suitable and efficient animal production.
Current Management of Extensive Stage Small Cell Lung Cancer in Italy: A National Survey on Behalf of Italian Association of Radiotherapy and Clinical Oncology (AIRO)
Authors: Bruni Alessio , Scotti Vieri , Zerella Maria Alessia , Bertolini Federica , Imbrescia Jessica , Olmetto Emanuela , Bennati Chiara , Cuccia Francesco , Miele Marianna , Giaj-Levra Niccolò , Tiseo Marcello , Ciammella Patrizia , Vagge Stefano , Galaverni Marco , Pontoriero Antonio , Badellino Serena , Spoto Ruggero , Alì Emanuele , Borghetti Paolo
Published: September 2024

Background: Extensive-stage SCLC (ES-SCLC) treatment has recently been revolutionized by the advent of immune checkpoint inhibitors. This survey was conducted to evaluate the current pattern of care among Italian clinicians, in particular about the integration with radiation therapy (RT). Methods: In June 2023, 225 Italian cancer care professionals were invited to 21-question web-based survey about the ES-SCLC management through personal contacts and the Italian Association for Radiotherapy and Clinical Oncology (AIRO) network. Results: We received 90 responses, the majority were radiation oncologists (89%) with more than 10 years of experience (51%). Preferred management of ES-SCLC in patients with a good performance status was concomitant chemo-immunotherapy (84%). Almost all respondents recommended prophylactic cranial irradiation (PCI) (85%), taking into account age and thoracic response; PCI was performed mainly between the end of chemotherapy before starting immunotherapy (37%), with three-dimensional conformal technique (46%). Furthermore, 83% of respondents choose to deliver thoracic RT in case of both intrathoracic and extrathoracic response with a RT schedule of 30 Gy/10 fractions. Stereotactic RT is increasingly being used in oligoprogressions. Conclusions: Our analysis showed the variability of real-world management of ES-SCLC. Future clinical trials and developments are needed to improve the multidisciplinary treatment of these patients.
miR-181a: Regulatory Roles, Cancer-Associated Signaling Pathway Disruptions, and Therapeutic Potential
Authors: McIntyre Grace , Jackson Zoe , Colina Jose , Sekhar Sreeja , DiFeo Analisa
Published: September 2024

Introduction: microRNA-181a (miR-181a) is a crucial post-transcriptional regulator of many mRNA transcripts and ncRNAs, influencing cell proliferation, cancer cell stemness, apoptosis, and immune responses. Its abnormal expression has been characterized in numerous cancers, making it a significant genomic vulnerability and biomarker in cancer research. Areas Covered: Here, we summarize miR-181a’s correlation with poor patient outcomes across numerous cancers, and the mechanisms governing miR-181a’s activity and processing. We comprehensively describe miR-181a’s involvement in multiple regulatory cancer signaling pathways, cellular processes, and the tumor microenvironment. We also discuss current therapeutic approaches to targeting miR-181a, highlighting their limitations and future potential. Expert Opinion: miR-181a is a clinically relevant pan-cancer biomarker with potential as a therapeutic target in cancer. Its regulatory control of tumorigenic signaling pathways and immune responses positions it as a promising candidate for more personalized treatments. The success of miR-181a as a target relies on the development of specific therapeutics platforms. Future research on miR-181a's role in the tumor microenvironment and the RNA binding proteins that regulate its stability will help uncover new techniques to targeting miR-181a. Further research into miR-181a serum levels in patients undergoing therapy will help to better stratify patients and enhance therapeutic success.
Wide Tumorectome and Sentinel Lymph-Node Removal under Local Anesthesia in Out-Patient Surgert: A Retrospective Study
Authors: Izzo Paolo , De Intinis Claudia , Lai Silvia , D'Urso Antonio , Sibio Simone , Di Cello Pierfrancesco , Polistena Andrea , Izzo Luciano , Molle Marcello , Izzo Sara
Published: September 2024

Aims: The aim of our work was to demonstrate the possibility, in carefully selected cases, to perform operations under local anesthesia with a benefit to the patient and savings for national health care.
Method: 123 patients with breast cancer underwent quadrantectomy or wide tumorectomy and sentinel lymph node removal under local anesthesia in out-patient surgery.
Results: Of the 123 patients, 9 had micro-metastases and 4 had macro-metastases and only three of this had metastasis in other lymph nodes.
Conclusions: Our results demonstrate that it is possible in selected cases to operate on breast cancer in out-patient surgery, with an advantage for the patient and savings for national health care.
Enhancing Prostate Cancer Staging: Association of 68Ga-PSMA PET/CT Imaging with Histopathological Grading in Treatment-Naive Patients
Authors: Pisotskyi Oleksii , Petrasz Piotr , Zorga Piotr , Gałęski Marcin , Szponar Pawel , Brzeźniakiewicz-Janus Katarzyna , Drewa Tomasz , Kaczmarek Krzysztof , Czarnogórski Michał Cezary , Adamowicz Jan
Published: September 2024

Objective: The study aims to evaluate the correlation between 68Ga-PSMA uptake in PSMA PET/CT in primary prostate cancer (PC) and its histopathological grading (Gleason Score and ISUP grade). Additionally, we compared preoperative biopsy histopathological findings with definitive pathology results in radical prostatectomy (RP) specimens.
Methods: We retrospectively analyzed 86 patients who underwent 68Ga-PSMA PET/CT for primary PC staging, of which 40 patients later underwent radical prostatectomy. PET/CT results, including SUVmax values, were correlated with GS and PSA concentrations. Histopathology reports were analyzed and compared between biopsy and final pathology results following RP.
Results: A significant positive correlation was observed between SUVmax and ISUP grades (Pearson's ρ = 0.34, p < 0.001), with higher SUVmax values associated with more advanced grades. A cut-off SUVmax value of 5.64 was determined to predict upstaging in patients, yielding a sensitivity of 76% and a specificity of 60% (AUC = 0.82, 95% CI: 0.70–0.94). Additionally, 57.5% of patients experienced a grade shift following RP, with a 35% upgrade and 22.5% downgrade in ISUP grades.
Conclusion: 68Ga-PSMA PET/CT demonstrated high sensitivity in detecting high-risk prostate cancer, particularly in patients with GS > 7 or PSA levels ≥ 10 ng/ml. The findings suggest that this imaging modality may be less effective for staging of patients with lower GS or PSA values, that is low-risk PCa. Further prospective studies are necessary to validate these results.
Integrated Analysis of Remdesivir and Paxlovid in COVID-19 Patients: A Personalized Approach to High-Risk Individuals for Severe Evolution
Authors: Fitero Andreea , Negrut Nicoleta , Popa Anca , John Harrie Toms , Ferician Anca , Manole Felicia , Marian Paula
Published: September 2024

Background/Objectives: COVID-19 led to a pandemic that has brought misery to millions of people but more so to those with pre-existing conditions. For this infection, several antiviral drugs were employed, including remdesivir (R) and paxlovid [nirmatrelvir/ritonavir (NR)]; Methods: The current study compared the effectiveness of remdesivir and paxlovid treatment for COVID-19 patients with comorbid conditions. Data from a cohort of 151 adult patients with COVID-19 who also had associated comorbidities were used in this study. These patients were treated with antivirals according to local guidelines. The subjects included 78 case-patients assigned to group R and 73 to group NR; Results: In group NR, a considerable improvement in oxygen saturation was seen in the first 24 hours of treatment (p=0.010), but the levels were significantly higher from the second day of treatment (p <0.001) in group R of patients. At the end of the 5 days of treatment, the oxygen saturation improved statistically significantly compared to the admission day, but only in the R group (95.11±1.80; 91.76±1.80; p<0.001); Conclusions: Both drugs can be considered a breakthrough in the current treatment approach to the COVID-19 disease since they provide readily available options that can alleviate the severity of the disease and, hence, the prognosis of patients. That is why their effectiveness relies on the correct administration time and choosing the patient with suitable characteristics regarding the presence of comorbidities and the likelihood of the critical further development of the process.
The Extract of Larrea tridentata Promotes the Synthesis of Silver Nanoparticles and Stimulates Immune Responses in Penaeus vannamei against Vibrio spp, Causing Acute Hepatopancreatic Necrosis Disease
Authors: León-Valdez Germán , Valenzuela-Quiñonez Wenceslao , Álvarez-Ruiz Píndaro , Soto-Robles C. A. , Nava-Perez Eusebio , López-Cervantes Gabriela , Montoya-Mejía Magnolia
Published: September 2024

Specific strains of Vibrio parahaemolyticus can cause acute hepatopancreatic necrosis disease (AHPND), a critical issue in shrimp aquaculture despite the application of several control strate-gies. The use of antibiotics is now restricted due to increasing bacterial resistance and overuse. Silver nanoparticles (AgNPs) have shown potential in shrimp aquaculture, with applications in boosting immunity against certain types of pathogens, promoting growth, and improving sur-vival rates. However, an economically viable solution that protect the organisms has not been found, which is why the search for nanoparticles synthesized with plant extracts is necessary to generate environmentally friendly control strategies. In this study, we synthesized AgNPs from Larrea tridentata extract and administered them orally with feed over a 35-day period. Shrimps fed with AgNPs-enriched diets showed a significant increase (p < 0.05) in mRNA expression of immune-related genes (CTL-5, MNK, SR, and GILT), particularly within the first 24–48 hours. No significant differences were observed in growth rates, but survival rates in a challenge against V. parahaemolyticus exceeded 85%, higher than the control group. Based on our findings and previ-ous literature, L. tridentata can effectively promote the synthesis of AgNPs and shows potential as an antimicrobial agent, without affecting the growth or survival of treated shrimp.
Cartographic Visualisation of Light Pollution Measurements
Authors: Kunz Mieczysław , Daab Dominika
Published: September 2024

Light pollution of the night sky is a phenomenon increasingly observed around the world and reported in the form of thematic maps. The major contributor to light pollution is ill-adjusted or inappropriately designed artificial lighting by outdoor light sources. The phenomenon occurs mainly over urban areas, but affects both the urban environment and the areas adjacent to it. The problem of excessive artificial light emission at night and the negative effects it causes has already become so serious and global in its impact that effective and comprehensible methods of cartographic presentation of this phenomenon have been explored. The literature on the subject provides examples of how to present the results of measurements of light pollution of the night sky, but these have been developed using different colour scales, often in discretionary ranges and units of measurement. This paper presents an overview of the measurement scales and units found in the literature to describe the phenomenon of light pollution that obscures the night sky. A proposal of the author’s color scale for the presentation of the phenomenon was proposed and shown by example. The differences between measurement scales and how they affect interpretation of results are discussed. Furthermore, a recommendation is made for a standardised method of cartographic visualisation of the spatial distribution and presentation of light smog measurement results.
Endomelanconiopsis endophytica Lipase Immobilized in Calcium Alginate for Production of Biodiesel from Waste Cooking Oil
Authors: Rodrigues Juliana Gisele Corrêa , Cardoso Fernanda Veras , Junior Sergio Duvoisin , Machado Nélio Teixeira , Albuquerque Patrícia Melchionna
Published: September 2024

The increasing global demand for biodiesel is due to the urgent need to replace mineral diesel with a fuel based on renewable energy sources. In this scenario, biocatalysis stands out as an efficient and environmentally friendly alternative to chemical catalysis. When associated with the use of immobilized enzymes, which allow their reuse in the process of obtaining biofuel, this approach makes production sustainable and reduces costs. In this sense, we investigated the use of the lipase produced by an Amazonian endophytic fungus in immobilized form as a biocatalyst in the transesterification of waste cooking oil for biodiesel production. The fungus Endomelanconiopsis endophytica QAT_7AC demonstrated high production of lipase. The lipolytic extract was precipitated in ethanol, which increased the specific enzyme activity by 28%. The lipolytic extract and the precipitated lipolytic extract were immobilized in calcium alginate beads. Immobilization efficiency was over 89%. The immobilized biocatalysts showed thermal stability (30-50 °C) and were used in the production of biodiesel using waste cooking oil and ethanol. It was possible to reuse them for up to four reaction cycles, with yields greater than 70%. These results prove the efficiency of immobilized biocatalysts in the production of ethyl esters from waste oils.
Redesigning of Flexible Learning Itinerary Configurator (FLIC) for the Design of Learning Situations in Compulsory Education (FLIC-IPAFLEX)
Authors: Munar-Garau Jacoba , Moreno-Garcia Juan , De-Benito-Crosetti Barbara , Salinas Jesus
Published: September 2024

This paper presents the redesign process of FLIC, a web application developed for creating personal learning pathways in higher education, now adapted for primary and secondary education as FLIC-IPAFLEX. This redesign addresses the need to personalise learning through flexible pathways and supports teachers in designing learning situations (LS) in accordance with the criteria established by the new Education Law (LOMLOE). The SCRUM model, integrated into Design-Based Research (DBR), was employed, implementing several iterative cycles involving teachers to validate the tool's utility. The platform facilitates the creation, publication, and reuse of LS by enabling the filtering of competencies, evaluation criteria, and basic knowledge, as well as integrating with Google Classroom, an application widely used by teachers. The results show a positive user evaluation, highlighting its ease of use and capacity to foster collaboration among teachers, thereby promoting the co-design of flexible and adaptive LS. FLIC-IPAFLEX aims to contribute to the field of learning design technologies, aligning with the demands of compulsory education and supporting collaborative processes within the educational environment.
Records of Wild Mammals Run Over on a Road in Osijek-Baranja County, Croatia
Authors: Krčmar Stjepan , Pezzi Marco
Published: September 2024

No data on wild mammals run over along the roads in Osijek-Baranja County, in the north-eastern part of Croatia, have been available so far. Mammals run over from 2016 to 2024 on the Zmajevac-Osijek road, 33.4-km long, were recorded using the road sampling method while travelling back and forth from Zmajevac to Osijek. A total of 86 run-over specimens of wild mammals, classified into eight species and one subspecies, were recorded. The northern white-breasted hedgehog, Erinaceus roumanicus, topped the list with 38 individuals, followed by the European badger, Meles meles, with 23 individuals. Together, these two species amounted to 70.93% of the run-over mammal fauna. Other species and subspecies were recorded in lower numbers. The number of wild mammals run over per kilometer of the observed road section was on the rise from 0.09 to 0.20 in the period from 2016 to 2022, while in 2023 it increased to 0.77 and in 2024 to 0.86. The high proportion of run over wildlife per kilometer is likely due to the high volume of traffic, which disrupts wildlife activities during both day and night.
AI-Assisted Pilot Fatigue Risk Assessment: Integrating Facial Recognition and Physiological Signal Analysis
Authors: Jin Weibo , Liu Haoxing , Shen Fangzhou
Published: September 2024

This study explores the use of Generative Artificial Intelligence (GAI) in assessing pilot fatigue risk by integrating facial recognition and physiological signals with Inertial Measurement Units (IMUs). By leveraging IMU technology's precise, real-time data on movement and combining it with GAI's advanced data analysis capabilities, the study aims to enhance the accuracy of fatigue prediction models. The analysis reveals that while traditional classifiers like Extreme Random Trees and Random Forests offer modest performance, advanced models such as Support Vector Machines and Naive Bayes demonstrate superior recall rates, highlighting their potential to identify true positives. This integration of AI and IMUs offers a promising approach to developing comprehensive, real-time fatigue monitoring systems, improving safety and efficiency in aviation by providing actionable insights and facilitating more effective fatigue management.
Impact of Optimization Variables on Fuel Consumption in Large Four-Stroke Diesel Marine Engines with Electrically Divided Turbochargers
Authors: Aguillon Salazar Anibal , Salameh Georges , Chesse Pascal , Bulot Nicolas , Thevenoux Yoann
Published: September 2024

This study investigates the effect of different variables in the optimization of a hybrid air charging systems for marine diesel engines, exploring the potential for energy recovery and assistance using electric machines. The optimization parameters include turbine speed, compressor power, start of injection, turbomachine size, and valve timing. At low engine speeds, the larger improvements come from increasing compressor power, which increases air-to-fuel ratio compared with the baseline turbocharging. As free-floating turbocharged engines are known to have low air-to-fuel ratio at low engine speeds, the relative improvement of the hybrid architecture is large at low engine speeds, being near to 10% less BSFC. At high engine speeds, the largest influence is marked by the SOI, an early injection obtains a faster combustion, which improves gross efficiency. However, the relative improvement compared with baseline turbocharger is less than 1% at high engine speeds. Due to the distribution of relative improvement of BSFC, this architecture has a deeper impact on fuel consumption in vessel operating cycles that focus on low engine speeds and loads, such as those of tugboats.