bluuebunny/crossref_metadata_2025 huggingface dataset:
A Novel DNA‐Based Dual‐Mode Data Storage System with Interrelated Concise and Detailed Data
Authors: Pei Ben , Zhou Yongsen , Yang Yu , Ma Jiaxiang , Cao Rangli , Huang Wen , Ouyang Liliang , Mi Shengli , Xiong Zhuo
Published: August 2024

DNA has emerged as a promising storage medium to meet the soaring need for archival data storage because of its exceptional storage density and stability. However, current DNA‐based data storage systems are incompetent of achieving high‐quality random multiplexed access and frequently accessed data storage, which impedes its practical applications. Here, a dual‐mode storage system is proposed that combines DNA‐based archival data and nanodot‐based active data. This novel data‐storage system is constructed by writing the active and archival data on the same substrate through a facile two‐step process involving scanning probe lithography (SPL), DNA synthesis, and chemical immobilization. The data files are categorized and stored orderly in different microregions of the substrate to achieve efficient random access. On each microregion, the nanodot array stores not only the concise information for the archival DNA data but also contains the corresponding primer sequence. Such interrelation between active and archival data allows for facilely data reading by efficient microscopic modalities and in situ polymerase chain reaction (PCR). Facilitated by the integration of nanodot and DNA, this novel dual‐mode storage system demonstrates efficient data access and the potential of excellent storing capacity, paving the way for the advancement of DNA‐based data storage.
High‐Load Core@Shell Nanocarriers with Irinotecan and 5‐Fluorouracil for Combination Chemotherapy in Colorectal Cancer
Authors: Notter Silke , Choezom Dolma , Griebel Titus , Ramos‐Gomes Fernanda , Möbius Wiebke , De Oliveira Tiago , Conradi Lena‐Christin , Alves Frauke , Feldmann Claus
Published: August 2024

Colorectal cancer (CRC) is the third most common cancer type and second leading cause of cancer‐related deaths worldwide, requiring novel drug‐delivery concepts. ITC@ZrO(TocP)/ZrO(FdUMP) core@shell nanocarriers (designated ITC‐FdUMP‐NC) with the clinically relevant chemotherapeutics irinotecan (ITC) and fluoro‐2′‐deoxyuridine‐5′‐phosphate (FdUMP) (active derivative of 5′‐fluorouracil/5‐FU) are a new type of nanocarrier with high drug payload (22 wt% of lipophilic ITC: particle core; 10 wt% of hydrophilic FdUMP: particle shell). The nanocarriers are tested in different CRC cell lines, a normal cell line, and rectal cancer patient‐derived organoids (PDOs). Fluorescence‐labeled nanocarriers show efficient uptake by all CRC cells and allow to distinctly track the intracellular trafficking toward endolysosomal compartments. Although free chemotherapeutic drugs exhibit a greater potency in 2D cell cultures, ITC‐FdUMP‐NC demonstrate equivalent cytotoxic efficacies as the freely dissolved drugs in the more complex 3D rectal cancer PDOs. The sustained drug‐release profile of the nanocarriers contrasts favorably with conventional free drugs, potentially enhancing the therapeutic outcome in vivo. With a chemotherapeutic cocktail comparable to the clinically applied FOLFIRI (ITC + 5‐FU), the ITC‐FdUMP‐NC represent a novel type of nanocarrier with high anti‐tumor effect and high drug payload, offering a promising strategy to circumvent chemoresistance and to improve therapy efficacy in vivo with less side effects.
Synergistically Photocatalytic Conversion of Two Greenhouse Gases to Liquid‐Phase Oxygenates under Anaerobic Conditions
Authors: Lin Haiting , Chen Anyi , Liu Tianren , Zhang Wensheng , Du Xinyv , Feng Junjie , Zeng Jiajun , Fan Yingying , Han Dongxue , Niu Li
Published: August 2024

Collaborative conversion of methane and carbon dioxide into sustainable chemicals is an appealing solution to simultaneously overcome both environmental problems and energy crisis. However, this reaction is limited to the preparation of syngas with the unfavorable feature for transportation and storage. Herein, liquid formaldehyde as product is fabricated by the collaborative conversion of methane and carbon dioxide using anatase phase titanium dioxide as photocatalyst. The productivity reaches 14.65 mmol g−1 with 88.32% selectivity. In situ diffuse reflectance Fourier transform infrared spectroscopy, isotope testes, and theoretical calculation clarify that the photoexcited holes and electrons engage into methane oxidation and carbon dioxide reduction over anatase using surface hydroxyl species and oxygen vacancy as active sites, respectively. The consumption of surface hydroxyl species on methane oxidation promotes the oxygen vacancy formation for carbon dioxide adsorption, mutually the carbon dioxide provides the oxygen atom for surface hydroxyl species facilitating methane oxidation. The consumption of photoelectrons and photoholes on carbon dioxide reduction and methane oxidation balances the number of photogenerated carriers and ensures the catalytic system stability. In this work, the avenue is broadened toward the co‐conversion of greenhouse gas into desirable chemical products in a sustainable way.
Analysis of policy measures and feedback effects on industry transformation towards carbon neutrality
Authors: Ahlfs Sören , Kieckhäfer Karsten
Published: August 2024

Motivated by the urgent need to curb carbon emissions substantially over the next years and decades, we develop a qualitative system dynamics model to investigate the role of feedback effects on the transformation of the industry sector towards carbon neutrality. Through systems thinking, this research analyses the complex interactions between policy measures, investment decisions in different environmental measures to reduce CO2 emissions (e.g., use of electric and thermal energies from renewables and increase of energy efficiency), CO2 compliance, the pressure to take further climate action, the industry's economic success and the availability of investment funds. The study contributes to qualitatively identify and explore levers that policymakers can use to encourage industry to invest further in climate protection measures. Moreover, it provides an important basis for the development of quantitative modelling approaches.
Influence of Modified Cassava Starches on the Rheological and Structural Properties of a Fermented Soy Beverage During Storage
Authors: Rodriguez‐Ruiz Julián David , Rodriguez‐Sandoval Eduardo , Hernández María Soledad
Published: August 2024

Traditionally, intensive thermal treatments are applied to process soy beverages, negatively impacting product quality by reducing solubility, and viscosity, while promoting syneresis. Modified cassava starches can prevent these effects. This study evaluates the influence of adding modified cassava starches on syneresis, apparent viscosity, particle size, microstructure, and sensory acceptance of a fermented soy beverage. A commercial culture of starter microorganisms and probiotics is used in the fermentation. Four beverages are produced: one with native cassava starch, one with octenyl succinic anhydride (OSA)‐modified cassava starch, one with crosslinked acetylated distarch adipate (ADA), and one with crosslinked‐substituted cassava starch (mixed); the starch concentration is 1% in each beverage. Samples are stored for 3 weeks at 4 °C. Modified cassava starches significantly alters syneresis compared to the native starch beverage, with no difference among the other treatments. Viscosity shows significant differences among treatments. During storage, the native starch beverage shows an increase in syneresis and a reduction in viscosity, whereas the OSA‐modified starch beverage has higher viscosity but presents significant variation by the end of the 3‐week storage period. The mixed starch beverage has intermediate characteristics with high viscosity and stability during storage. In the sensory evaluation, the consumers prefer the OSA‐modified starch beverage.
Sasa veitchii extract alleviates phenobarbital‐induced cell proliferation inhibition by upregulating transforming growth factor‐beta 1
Authors: Yoshioka Hiroki , Tsukiboshi Yosuke , Horita Hanane , Kurita Hisaka , Ogata Aya , Ogata Kenichi , Horiguchi Hyogo
Published: August 2024

Aim

Cleft lip is a common congenital disease, accompanied by a complicated etiology. Medical exposure in women is one of the reasons leading to cleft lip. Phenobarbital is a major drug used for the treatment of epilepsy and has been reported to induce cleft lip, with or without cleft palate. This study aimed to explore the protective effects of Sasa veitchii extract (SE) against phenobarbital‐induced inhibition of human lip fibroblast (JCRB9103) cell proliferation.

Methods

We evaluated the cell viability of JCRB9103 cells after 48 h of phenobarbital treatment. We examined the rescue experiment using SE, sodium copper chlorophyllin, or recombinant transforming growth factor‐beta 1. Western blotting was performed to identify key proteins involved in lip formation in JCRB9103 cells.

Results

Phenobarbital treatment decreased the cell viability of JCRB9103 cells in a dose‐dependent manner. Cotreatment with SE or sodium copper chlorophyllin alleviated phenobarbital‐induced inhibition of cell viability in JCRB9103 cells. SE treatment upregulated the transforming growth factor‐beta 1 level, and transforming growth factor‐beta 1 protected against phenobarbital‐induced inhibition of cell proliferation.

Conclusions

These results suggest that phenobarbital‐induced inhibition of cell proliferation was restored by sodium copper chlorophyllin present in SE via the regulation of transforming growth factor‐beta 1.
A first de novo transcriptome assembly of feijoa (Acca sellowiana [Berg] Burret) reveals key genes involved in flavonoid biosynthesis
Authors: Oberti Hector , Gutierrez‐Gonzalez Juan , Pritsch Clara
Published: August 2024

Acca sellowiana [Berg] Burret, a cultivated fruit tree originating from South America, is gaining the attention of the nutraceutical and pharmaceutical industries due to their high content of flavonoids and other phenolic compounds in fruits, leaves, and flowers. Flavonoids are a diverse group of secondary metabolites with antioxidant, anti‐inflammatory, and antimicrobial properties. They also play a crucial role in plant immune response. Despite their importance, the lack of research on A. sellowiana genomics and transcriptomics hinders a deeper understanding of the molecular mechanisms behind flavonoid biosynthesis and its regulation. Here, we de novo assembled and benchmarked 11 A. sellowiana transcriptomes from leaves and floral tissues at three developmental stages using high‐throughput sequencing. We selected and annotated the best assembly according to commonly used metrics and databases. This reference transcriptome consisted of 221,649 nonredundant transcripts, of which 107,612 were functionally annotated. We then used this reference transcriptome to explore the expression profiling of key secondary metabolite genes. Transcripts from genes involved in the flavonoid and anthocyanin biosynthesis pathways were identified. We also identified 4068 putative transcription factors, with the most abundant families being bHLH, C2H2, NAC, MYB, and MYB‐related. Transcript expression profiling revealed distinct patterns of gene expression during flower development. Particularly, we found 71 differentially expressed transcripts representing 14 enzymes of the flavonoid pathway, suggesting major changes in flavonoid accumulation across floral stages. Our findings will contribute to understanding the genetic basis of flavonoids and provide a foundation for further research and exploitation of the economic potential of this species.
Radioactive elements in wastewater and potable water: Sources, effects, and methods of analysis and removal
Authors: Sharma Shubham , Sharma Vivek , Mittal Ankit , Das Dipak Kumar , Sethi Sonika , Yadav Suman , Vallamkonda Bhaskar , Vashistha Vinod Kumar
Published: August 2024

Radioactive effluents, originating from nuclear power plants, medical‐nuclear applications, and various extraction industries worldwide, present a significant and dangerous contamination challenge. The concentrations of radioactive substances in wastewater, surface water, and potable water vary widely depending on the source and location. For example, cesium‐137 levels in wastewater from nuclear facilities can range from 0.1 to 10 Bq/L, while tritium concentrations in surface water near nuclear plants can reach up to 100 Bq/L. Regulatory guidelines, like the maximum contaminant level of 0.185 Bq/L for combined radium‐226 and radium‐228 in drinking water, are critical for ensuring safety and environmental protection. Specifically, in Fukushima, Japan, cesium‐137 levels in surface water range from 0.1 to 10 Bq/L due to the nuclear accident. In contrast, regions with natural uranium deposits, like parts of the United States, have reported radium‐226 concentrations in potable water up to 1 Bq/L. These variations highlight the necessity for focused monitoring and evaluation to protect water quality and community health. Among various methods, Gamma spectrometry and inductively coupled plasma mass spectrometry are precise for radionuclide quantification, scintillation detectors, and ion exchange, and adsorption techniques efficiently remove radioactive substances from water. This critical review examines the sources, adverse effects, and analysis and remediation strategies for various radioactive elements in wastewater. By thoroughly evaluating the origins and potential dangers associated with radioactive effluents, this report emphasizes the urgent need for rigorous monitoring and effective treatment practices to maintain the integrity of water resources and ecosystems.

Practitioner Points

Comprehensive analysis of the radioactive elements frequently found in wastewater and drinking water.

Assess the negative effects of radioactive elements in water systems.

Examine the treatment methods used to eliminate radioactive pollutants from water sources.

Outline effective methods and tactics for addressing and controlling radioactive contamination occurrences.

Analyze the latest advancements in technology, regulatory enhancements, and optimal methods to guarantee the safety of drinking water and the sustainable handling of radioactive substances in wastewater.
Dangerous Memory in Johann Baptist Metz’s Political Theology
Authors: Merian Katharina
Published: August 2024

This chapter will introduce and discuss Johann Baptist Metz’s concept of dangerous memory. The first parts of the chapter offer an overview of important steps in the development of Metz’s thought. Section 2.3 and the ones that follow focus on the concept of dangerous memory, whose introduction in 1969 marks the beginning of Metz’s mature political theology. Since Metz elaborated the concept of dangerous memory only in a programmatic form, the following reconstruction will be concerned with developing the relations between dangerous memory and the three main categories of Metz’s theology—the subject, practice, and time—in a more systematic manner. The summary and critical remarks in Sect. 2.5 capture the most important issues and point to possible problems that might arise, among other aspects, when using Metz’s approach to analyze the memory of Marielle Franco.
Concluding Remarks
Authors: Merian Katharina
Published: August 2024

This study pursued two main objectives: it sought to contribute to a critical reappraisal of the memory of Marielle Franco and to further develop the concept of dangerous memory. In the following pages, I will summarize the most important results of these endeavors and give an outlook on possible future research. I want to emphasize here that the new understanding of dangerous memory elaborated in this study does not render Metz’s reflections obsolete; they remain fundamental to the theological debate on political, social, and cultural memory. However, as demonstrated in this study, Metz’s approach cannot simply be transferred from the European context to other cultural contexts and situations without creating complex problems concerning the representation of subjects and practices of solidarity.
From Sci-Fi to Reality in the New Space Economy: Unlocking the Potential of Sustainable Interplanetary Supply Chains
Authors: Cordova Miguel , Gonzalez-Perez Maria Alejandra
Published: August 2024

Interplanetary supply chains (IPSCs) are transitioning from science fiction to reality, presenting unique challenges and opportunities. This chapter aims to discuss IPSCs from a business and management standpoint, focusing on sustainability. Challenges in outer space supply chains, including planetary positioning, outsourcing, and space logistics, are explored. Even though Artificial Intelligence (AI) promises to enhance IPSC resilience and efficiency by predicting risks, optimizing operations, and supporting financial services, trust in AI and Internet of Things remains a challenge too. Adapting Sustainable Development Goals (SDGs) for space activities is crucial, considering environmental, ethical, and resource-specific challenges. Consequently, regarding opportunities, AI can assist in resource management and environmental sustainability in space. Hence, socio-economic impacts and equitable resource distribution in space activities are discussed, emphasizing the need for robust and sustainable AI systems for space’s harsh environment. Also, international collaboration and governance are vital, while future sustainable IPSCs would need to incorporate blockchain integration, efficient modeling, and scalability tools. In conclusion, this chapter contributes to the evolving discussion of IPSCs, the potential for new SDGs, and the multifaceted challenges and opportunities of sustainability in interplanetary business. Also, it underscores the importance of responsible and sustainable space exploration for humanity’s future.
Haymaking complemented by moderate disturbances can sustain and restore species-rich alpine to subalpine grasslands
Authors: Boch Steffen , Blaser Stefan , Föhr Christine , Küchler Meinrad , Fischer Markus
Published: August 2024

The high plant diversity in alpine to subalpine grasslands is threatened by the abandonment of land use. In addition, changing environmental conditions might lead to vegetation shifts even when traditional land use is maintained, as observed in grasslands in Switzerland during the last decades. Maintaining and restoring the diversity of such grasslands might therefore require modified management methods. We conducted a six-year experiment to assess the responses of plant species richness, mean ecological indicator values, and vegetation composition to five management treatments, including scraping as additional management measure: haymaking (in autumn), haymaking complemented by scraping (i.e. manual raking) in autumn, haymaking complemented by scraping in spring, only scraping in spring, and abandonment of land use. We hypothesized that haymaking complemented by scraping in either season would remove additional biomass and increase species richness by creating open patches that can reduce inter-specific competition and promote species establishment. We found positive effects of haymaking complemented by scraping on plant species richness and habitat quality, indicated by the increased mean indicator value for light. Abandonment showed the opposite effects and increased mean indicator values for nutrients. Interestingly, haymaking combined with scraping in autumn promoted the development of the vegetation towards the composition similar to the resident vegetation type. Our findings show that extensive land use is essential to maintain species-rich alpine to subalpine grasslands. Further, they imply that modified land use can compensate for the negative developments such as reduced habitat quality and species richness caused by environmental changes and help restore the vegetation.
Transfers in climate action teams
Authors: Kerr Suzi , Lippert Steffen , Lou Edmund Y.
Published: August 2024

Resource transfers are integral parts of climate negotiations as they affect incentives to participate in climate agreements. Whether to use transfers contingent on observing low emissions or on investment in green compliance technology is an open question. Using a repeated-game model with investment in green technology and resource transfers, we find that, because investments take time to fully affect emission incentives, there is a tradeoff. Investment-based agreements, where transfers are provided before emissions are realized but after investments have been undertaken, maximize the scope of cooperation. Emissions-based agreements, however, minimize the size of transfers whenever they foster cooperation.
Primary cardiac synovial sarcoma originating from the atrial septum and associated pulmonary infarction: a case report
Authors: Xu Nie , Xie Kang , Xin Dong , liang Zhonglei , Zeng Yongjun
Published: August 2024

Background

Primary cardiac synovial sarcoma is a rare condition with limited treatment options for advanced stages. Surgery and chemotherapy are currently the mainstay treatments; however, survival rates remain low.

Case presentation

A 64-year-old woman presenting with symptoms of chest tightness and shortness of breath was found to have an obstructive right atrial mass, along with pulmonary infarction and metastasis. She was ultimately diagnosed with advanced primary cardiac synovial sarcoma. Following surgery, the patient’s symptoms improved, and she underwent chemotherapy and anti-angiogenic therapy, but unfortunately, her survival time was only 8 months.

Conclusion

 This case report aims to enhance clinicians' understanding of the diagnosis and treatment of primary cardiac synovial sarcoma. Enhancing both survival outcomes and quality of life in individuals with primary cardiac synovial sarcoma continues to present a significant challenge.
Diabetes compromises tight junction protein claudin 14 in the urinary bladder
Authors: Mohanty Soumitra , White John Kerr , Scheffschick Andrea , Fischer Berenice , Pathak Anuj , Tovi Jonas , Östenson Claes-Göran , Aspenström Pontus , Brauner Hanna , Brauner Annelie
Published: August 2024

Infections are common in patients with diabetes. Moreover, increasing incidence of antibiotic resistance impedes the complete bacterial clearance and calls for alternative treatment strategies. Along with antibacterial resistance, compromised host conditions create a favorable condition for the disease progression. In particular, cell junction proteins are of major importance as they contribute to a tight cell barrier, protecting against invading pathogens. However, the impact of high glucose on cell junction proteins has received little attention in the urinary bladder but merits closer investigation. Here, we report that during diabetes the expression of cell junction protein, claudin 14 is compromised in the human urine exfoliated cells and in the urinary bladder of type 2 diabetic mouse. Further in vitro analysis confirmed a direct correlation of lower intracellular calcium levels with claudin 14 expression in high glucose-treated human uroepithelial cells. Moreover, external calcium supplementation in high glucose-treated cells significantly affected the cell migration and restored the claudin 14 expression through focal adhesion and β-1 integrins. Strengthening the epithelial barrier is essential, especially in individuals with diabetes where basal calcium levels could contribute.
Comparative analysis of conventional and machine learning techniques for rainfall threshold evaluation under complex geological conditions
Authors: Dal Seno N. , Evangelista D. , Piccolomini E. , Berti M.
Published: August 2024

This research focuses on the essential task of defining rainfall thresholds in regions with complex geological features, specifically at a regional scale. It examines a variety of methodologies, from traditional empirical-statistical methods to cutting-edge machine learning (ML) techniques, for establishing these thresholds. The Emilia-Romagna region in Italy, known for its intricate geological structure and prevalence of weak rocks that often lead to large and deep-seated landslides, serves as the study area. The region’s complex interplay between rainfall and landslide incidences poses a significant challenge in accurately determining rainfall thresholds. The effectiveness of ML methods is compared against conventional empirical-statistical approaches, evaluating factors such as prediction accuracy, model complexity, and the interpretability of results for use by regional landslide warning system operators. The findings indicate that machine learning techniques have an edge over traditional methods, yielding higher performance scores and fewer false positives. Nevertheless, these advancements are modest when considering the increased complexity of ML methods and the incorporation of additional rainfall parameters. This underlines the continued need for improvements in data quality and volume. The study stresses the importance of enhancing data collection and analysis techniques, especially in an era where advanced AI tools are increasingly available, to improve the accuracy of predicting rainfall thresholds for effective landslide warning systems.
Off the conservation radar: the hidden story of Europe's tiny pea clams (Bivalvia: Sphaeriidae)
Authors: Halabowski Dariusz , Sousa Ronaldo , Lopes-Lima Manuel , Killeen Ian , Aldridge David C , Zając Katarzyna , Mageroy Jon Hamner , Cossey Daniel Alan , Urbańska Maria , Österling Martin , Prié Vincent
Published: August 2024

This study highlights the conservation problems faced by the tiny freshwater bivalves of the family Sphaeriidae, also known as pea, pill, or fingernail clams (or mussels) in Europe. Despite their global distribution, assumed ecological importance, and potential uses, basic knowledge about their taxonomy, biology, and ecology is very limited and much lower than for the larger freshwater bivalve taxa. Immediate scientific priorities are required to fill knowledge gaps regarding their taxonomy, genetic diversity, distribution, reproductive cycle, ecosystem functions, and population trends. Such fundamental knowledge is necessary to identify specific threats and develop appropriate conservation actions. Deploying environmental DNA analysis at a large scale could be a valuable way to fill gaps in distribution and strengthen monitoring in areas where local taxonomic knowledge is lacking. Until taxon-specific management plans can be developed, we recommend that efforts concentrate on the general protection and restoration of wetland habitats, implementing pollution control measures, and managing invasive species. These actions should be complemented by community engagement through citizen science initiatives. Additionally, prioritising data collection to fill existing knowledge gaps and updating conservation statuses (Red Lists) based on comprehensive assessments will be crucial. Implementing these actions will provide a starting point for the broader protection of freshwater ecosystems, thus benefiting pea clams and other interconnected species within these habitats.
Multiple myeloma: clinical characteristics, current therapies and emerging innovative treatments targeting ribosome biogenesis dynamics
Authors: Elbahoty Mohamed H. , Papineni Bhavyasree , Samant Rajeev S.
Published: August 2024

Multiple myeloma (MM) is a clinical disorder characterized by aberrant plasma cell growth in the bone marrow microenvironment. Globally, the prevalence of MM has been steadily increasing at an alarming rate. In the United States, more than 30,000 cases will be diagnosed in 2024 and it accounts for about 2% of cancer diagnoses and more than 2% of cancer deaths, more than double the worldwide figure. Both symptomatic and active MM are distinguished by uncontrolled plasma cell growth, which results in severe renal impairment, anemia, hypercalcemia, and bone loss. Multiple drugs have been approved by the FDA and are now widely used in clinical practice for MM. Although triplet and quadruplet induction regimens, autologous stem cell transplantation (ASCT), and maintenance treatment are used, MM continues to be an incurable illness characterized by relapses that may occur at various phases of its progression. MM patients with frailty, extramedullary disease, plasma cell leukemia, central nervous system recurrence, functional high risk, and the elderly are among those with the greatest current unmet needs. The high cost of care is an additional challenge. MM cells are highly protein secretary cells and thus are dependent on the activation of certain translation pathways. MM also has a high chance of altering ribosomal protein-encoding genes like MYC mutation. In this article we discuss the importance of ribosome biogenesis in promoting MM and RNA polymerase I inhibition as an upcoming treatment with potential promise for MM patients.

Graphical abstract
External facilitators’ practical work for school improvement: de-professionalising or developing improvement capacity?
Authors: Nehez Jaana , Håkansson Lindqvist Marcia
Published: August 2024

This article explores external facilitation for school improvement; more specifically, it examines the practical work of external facilitators. It is based on a Swedish case in which facilitators at the Swedish National Agency for Education support low-performing schools. The article aims to develop knowledge about how external facilitators in their practical work both promote and prevent developed understanding and improvement capacity. Based on observations and documents, facilitators’ endeavours and critical situations in their work to support school improvement are identified. The findings show five different endeavours to promote development of understanding and improvement capacity. However, they also show how taking ownership, simplification, and model focus, three of five identified recurring critical situations, prevent such development. The conclusion is that there are several aspects for external facilitators to balance to promote school improvement and turn around low-performing schools. When planning for external facilitation, it is important to consider how the facilitators’ practical work can be adapted to the local contexts of those who are facilitated in order to promote their ownership of the processes. Without balance and adaptation, external facilitation can lead to deprofessionalisation instead of development of improvement capacity.
Error Estimates and Adaptivity of the Space-Time Discontinuous Galerkin Method for Solving the Richards Equation
Authors: Dolejší Vít , Shin Hyun-Geun , Vlasák Miloslav
Published: August 2024

We present a higher-order space-time adaptive method for the numerical solution of the Richards equation that describes a flow motion through variably saturated media. The discretization is based on the space-time discontinuous Galerkin method, which provides high stability and accuracy and can naturally handle varying meshes. We derive reliable and efficient a posteriori error estimates in the residual-based norm. The estimates use well-balanced spatial and temporal flux reconstructions which are constructed locally over space-time elements or space-time patches. The accuracy of the estimates is verified by numerical experiments. Moreover, we develop the hp-adaptive method and demonstrate its efficiency and usefulness on a practically relevant example.
Sonochemical Facile Synthesis of Bismuth Oxide Nanoparticles Using Citrus Lemon Extract and Its Catalytic Activity on Azo Dye Degradation
Authors: Dinesh G. Kumaravel , Saranya R.
Published: August 2024

The synthesis of bismuth oxide nanoparticles through sono-cavitation using citrus lemon extract as a simple, eco-friendly and cost-efficient method was evaluated. The aqueous extract of citrus lemon acted as a bio-reducing and capping/stabilizing agent in the single-step biosynthesis of bismuth oxide nanoparticles. Different instrumental techniques have been used to characterize the biosynthesized bismuth oxide nanoparticles, including UV–vis spectroscopy, scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray powder diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), Raman spectroscopy, X-ray photoelectron spectroscopy and energy-dispersive X-ray spectroscopy (EDS). UV–vis spectroscopy revealed the formation of stable bismuth oxide nanoparticles at λmax of 400 nm with a surface plasmon resonance (SPR) band. TEM revealed that the biosynthesized bismuth oxide nanoparticles were rod shaped with a particle size of 26 nm. A potential mechanism for the formation of bismuth oxide nanoparticles with the influence of sono-cavitation has been suggested based on the observed findings. These catalytic capabilities of the bio-synthesized bismuth oxide nanoparticles were then evaluated by degradation of toxic azo dyes under different laboratory conditions. The azo dye Congo red (CR) was effectively degraded to 86% within 30 min under optimum experimental conditions using 0.12 g/mL catalyst. Thus, the phytochemical citrus lemon offers a cheap and eco-friendly solution for the synthesis of catalytic nanoparticles to degrade highly toxic organic compounds such as azo dyes.

Graphical Abstract
Performance of two different artificial intelligence (AI) methods for assessing carpal bone age compared to the standard Greulich and Pyle method
Authors: Alaimo Davide , Terranova Maria Chiara , Palizzolo Ettore , De Angelis Manfredi , Avella Vittorio , Paviglianiti Giuseppe , Lo Re Giuseppe , Matranga Domenica , Salerno Sergio
Published: August 2024

Purpose

Evaluate the agreement between bone age assessments conducted by two distinct machine learning system and standard Greulich and Pyle method.

Materials and methods

Carpal radiographs of 225 patients (mean age 8 years and 10 months, SD = 3 years and 1 month) were retrospectively analysed at two separate institutions (October 2018 and May 2022) by both expert radiologists and radiologists in training as well as by two distinct AI software programmes, 16-bit AItm and BoneXpert® in a blinded manner.

Results

The bone age range estimated by the 16-bit AItm system in our sample varied between 1 year and 1 month and 15 years and 8 months (mean bone age 9 years and 5 months SD = 3 years and 3 months). BoneXpert® estimated bone age ranged between 8 months and 15 years and 7 months (mean bone age 8 years and 11 months SD = 3 years and 3 months). The average bone age estimated by the Greulich and Pyle method was between 11 months and 14 years, 9 months (mean bone age 8 years and 4 months SD = 3 years and 3 months). Radiologists’ assessments using the Greulich and Pyle method were significantly correlated (Pearson’s r > 0.80, p < 0.001). There was no statistical difference between BoneXpert® and 16-bit AItm (mean difference = − 0.19, 95%CI = (− 0.45; 0.08)), and the agreement between two measurements varies between − 3.45 (95%CI = (− 3.95; − 3.03) and 3.07 (95%CI − 3.03; 3.57).

Conclusions

Both AI methods and GP provide correlated results, although the measurements made by AI were closer to each other compared to the GP method.
An investigation into General Practitioners’ experience with Long Covid
Authors: Farrell Aisling , O’Flynn James , Jennings Aisling
Published: August 2024

Background

Long Covid (LC) is the continuation or development of new symptoms after initial COVID-19 infection. Little is known about General Practitioners’ (GP) experience of managing patients with LC.

Aims

The aim of this study is to establish GP experiences with LC.

Methods

A survey was designed and piloted in three training practices prior to distribution. The survey was completed by doctors working in GP training scheme practices in Cork, Ireland.

Results

Fifty-three of one hundred and sixty invited GPs completed the survey, indicating a 33% response rate. 8% (4/53) of participants agreed and 0% (0/53) strongly agreed with the statement they were “confident in diagnosing Long Covid”. 81% (43/53) were not confident in treating patients with LC. 70% (37/53) were unaware of indications for referral to secondary care. 38% (20/53) were aware of the referral pathways to local LC clinics. 93% (49/53) agreed there were educational deficits regarding LC.

Conclusions

There was a lack of confidence in the diagnosis and management of LC, and in the interface with secondary care. There is demand for educational interventions to assist GPs with their care of patients with this emerging condition.
Composite coatings from polycarbosilane derived SiC and Al/SiC cermet active fillers as protective barriers against steel corrosion
Authors: Valerio-Rodríguez María F. , González Luis A. , Mata-Padilla José M. , López-Honorato Eddie
Published: August 2024

Stainless steel is used throughout the world as a structural material. However, it undergoes corrosion damage when exposed to extremely corrosive media, such as the marine environment. An alternative to solve this problem lies in the development of coatings that can withstand extreme conditions but also be easily deposited with inherently corrosion-resistant materials such as silicon carbide (SiC). The present study shows a simple method to produce Al/SiC cermet powders by attrition milling. The resulting cermet powders with a metallic matrix and hemispherical morphology, were employed as fillers in polycarbosilane (PCS) solutions that were sprayed on A304 stainless steel substrates. Al/SiC composite coatings were produced after heating the sprayed suspensions at 700 °C for 1 h in Ar atmosphere. The resulting composite coatings exhibited low surface energies (< 35 mN/m), water contact angles of 53°, and adhesion strength of up to 30 MPa. Finally, corrosion tests were performed in a cyclic corrosion test chamber, showing that these coatings effectively reduced the corrosion rate of stainless steel by 87%, reaching corrosion rate values of 0.007 g/cm2 year.
Multiomics and machine learning-based analysis of pancancer pseudouridine modifications
Authors: Zhang Jiheng , Xu Lei , Yan Xiuwei , Hu Jiahe , Gao Xin , Zhao Hongtao , Geng Mo , Wang Nan , Hu Shaoshan
Published: August 2024

Pseudouridine widely affects the stability and function of RNA. However, our knowledge of pseudouridine properties in tumors is incomplete. We systematically analyzed pseudouridine synthases (PUSs) expression, genomic aberrations, and prognostic features in 10907 samples from 33 tumors. We found that the pseudouridine-associated pathway was abnormal in tumors and affected patient prognosis. Dysregulation of the PUSs expression pattern may arise from copy number variation (CNV) mutations and aberrant DNA methylation. Functional enrichment analyses determined that the PUSs expression was closely associated with the MYC, E2F, and MTORC1 signaling pathways. In addition, PUSs are involved in the remodeling of the tumor microenvironment (TME) in solid tumors, such as kidney and lung cancers. Particularly in lung cancer, increased expression of PUSs is accompanied by increased immune checkpoint expression and Treg infiltration. The best signature model based on more than 112 machine learning combinations had good prognostic ability in ACC, DLBC, GBM, KICH, MESO, THYM, TGCT, and PRAD tumors, and is expected to guide immunotherapy for 19 tumor types. The model was also effective in identifying patients with tumors amenable to etoposide, camptothecin, cisplatin, or bexarotene treatment. In conclusion, our work highlights the dysregulated features of PUSs and their role in the TME and patient prognosis, providing an initial molecular basis for future exploration of pseudouridine. Studies targeting pseudouridine are expected to lead to the development of potential diagnostic strategies and the evaluation and improvement of antitumor therapies.
Othering and Marginalizing the “Queer” in Rwanda: Findings from Public Perceptions and Lived Experiences of LGBT People
Authors: Stojanovski K. , Igonya E. K. , Gutabarwa L. T , Otukpa E. , Mutuku E. , Ushie B. A.
Published: August 2024

Introduction

The multidimensionality of stigma that LGBT people experience globally necessitates research to explore the processes at work. The study aimed to quantify the level of othering and explore the process of LGBT othering in Rwanda.

Methods

We conducted a sequential cross-sectional mixed-methods study of LGBT lived experiences in Rwanda. We recruited 499 participants to complete the LGBT-specific survey and 1254 for the non-LGBT survey. We conducted 16 in-depth interviews (IDIs) with non-LGBT participants. For LGBT participants, we completed six focus groups with 59 participants, six in-depth interviews, and three digital storytelling interviews. For the quantitative surveys, we conducted multivariable linear regressions and reported beta coefficients and 95% confidence interval estimates examining LGBT discrimination (LGBT survey) and attitudes toward LGBT (non-LGBT survey). We used deductive and inductive thematic and narrative analysis to analyze the qualitative data.

Results

In adjusted analyses of the non-LGBT survey, as compared to those who knew zero LGBT persons, persons who knew more than five had lower negative attitude scores (β =  − 1.3, 95% CI − 2.2, − 0.5), while the score was lower for those that knew one to five (− 0.2), it was not significant (95% CI − 0.8, 0.5). In the LGBT survey, adjusted analyses indicated that there was no significant difference found in discrimination between bisexual, gay, or lesbian participants. However, as compared to cisgender participants, transgender participants had discrimination scores that were 2.1 points higher (95% CI 1.1, 3.0), and gender non-confirming individuals had scores that were one point higher (95% CI 0.2, 1.9). The qualitative findings showcased how societal “othering” occurs in the everyday life of LGBT Rwandans, with large ramifications in creating feelings of isolation and hampering one’s capacity to live authentically and with dignity.

Conclusion

The findings from our study indicate a high level of othering of the LGBT community across multiple domains, including housing, employment, healthcare, education, religion, and family within Rwanda.

Policy Implications

The findings highlight the importance of social education campaigns about LGBT people, particularly among vital societal role-holders, including healthcare providers and educators. Integrating the rich historical and indigenous culture related to LGBT could be successful in combating anti-West rhetoric.
Investigating corrosion-induced deterioration in bolted steel plate joints using guided wave ultrasonic inspection
Authors: Shah Jay Kumar , Majhi Subhra , Mukherjee Abhijit , Wang Hao
Published: August 2024

Bolted steel plate joints encounter challenges posed by joint corrosion, which impact the quality of interfacial contact among the bolted components. Unfortunately, no correlation between corrosion-induced joint damage and preload, nor an existing numerical model capable of capturing such effects, has been identified. This study aims to utilize guided wave ultrasonic investigation to examine the deterioration of interfacial contact caused by corrosion in bolted joints. Additionally, a contact modification-based numerical approach is presented to capture the effects of changing interfacial stress during joint corrosion. Guided wave mode selection was conducted with some preliminary experiments supplemented with the theory of wave mode dispersion, hence leading to the selection of S0 and A0 mode existing at 300 kHz. The joint was then corroded in a controlled manner using an electrochemical process while simultaneous ultrasonic measurements were taken. The experimental observations highlighted the progressive dispersion in the transmitted A0 mode across the bolted joint, potentially due to changing interfacial stress boundaries between the plates. A damage parameter, termed the dispersion index, was developed based on the energy ratio of different signal sections. A linear change in the dispersion index was observed with the increase in corrosion-induced mass loss. The insight was further established through a numerical investigation by studying the effect of changing bolt preload and the corresponding interfacial stress distribution. The findings revealed that monitoring the changes in the stress distribution at the bolted interface can provide insight into interfacial corrosion. Eventually, destructive tension test results confirmed the effect of joint corrosion on the load-bearing capacity of the joint. The change in failure mode of the pristine and corroded specimen is observed. The reported approach establishes the potential of ultrasonic inspection to investigate the interfacial health of a bolted joint in corroding conditions.
Young children’s computational thinking: educator pedagogy fostering children’s play and learning with a tangible coding device
Authors: Murcia Karen , Cross Emma , Lowe Geoffrey
Published: August 2024

The importance of incorporating digital technologies into early childhood education is now widely accepted to help position children as creative producers and not just consumers of technology. Early childhood educators in turn have a key role to play in developing technology-related skills and competencies such as coding and computational thinking (CT). In response, internationally a range of tangible coding technologies (TCTs), or digital toys, have been created to foster the development of young children’s coding and CT skills. However, to what extent are children’s developing skills and knowledge encouraged by the design of the TCT itself, and the educators’ pedagogy? This article reports on a study into the impact of one TCT, Cubetto, on the CT of a group of young children in an Early Years Learning Centre in Australia, and how educators encouraged coding and CT using Cubetto. The study revealed that Cubetto not only promoted children’s understanding of the nature of digital technologies but encouraged CT skills such as sequencing, cause-and-effect, and foundational numeracy in a collaborative, constructivist way. This was mediated in turn by the educators’ ability to utilise Cubetto effectively in an inquiry-based STEM learning context. Accordingly, this study notes that the incorporation of TCTs can be beneficial but need careful consideration as to their educational purpose and should be supported by developmentally appropriate pedagogical practices to maximise their potential in developing coding skills and CT in young children.
Harnessing the power of Arctium lappa root: a review of its pharmacological properties and therapeutic applications
Authors: Shyam Mukul , Sabina Evan Prince
Published: August 2024

Arctium lappa, widely recognized as burdock, is a perennial plant that is employed in the realm of traditional Chinese medicine for a wide range of medicinal applications. The herb is rich in bioactive metabolites with therapeutic potential, encompassing polyphenolic antioxidants in its leaves, and flavonoids and fructo-oligosaccharides in its underground parts. Nutraceuticals originating from botanical sources such as Arctium lappa provide supplementary health advantages alongside their nutritional content and have demonstrated effectiveness in the prevention and management of specific ailments. The utilization of Arctium lappa root extract has exhibited encouraging outcomes in addressing hepatotoxicity induced by cadmium, lead, chromium, and acetaminophen, ameliorating liver damage and oxidative stress. Additionally, the root extract displays properties such as antidiabetic, hypolipidemic, aphrodisiac, anti-rheumatic, anti-Alzheimer, and various other pharmacological actions.

Graphical abstract