bluuebunny/crossref_metadata_2025 huggingface dataset:
Synthesis and application of a phenazine class substrate for high-throughput screening of laccase activity
Authors: Babinskas Justinas , Sabotič Jerica , Matijošytė Inga
Published: January 2024

Biocatalysis is one of the greatest tools for implementing the 12 principles of Green chemistry. Biocatalysts are bio-based, highly efficient and selective, operate at moderate conditions, and can be reused multiple times. However, the wider application of biocatalysts is plagued by a plethora of drawbacks, such as poor stability at operating conditions, inadequate efficiency of catalytic systems, a small number of commercially available biocatalysts, and a lack of substrates or methods for their discovery and development. In this work, we address the lack of suitable substrates for high-throughput screening of laccase by synthesising and investigating a newly developed phenazine-type substrate – Ferbamine. Investigation of Ferbamine pH and thermal stability indicated that its long-term stability in an aqueous medium is superior to that of commercially available substrates and does not require organic solvents. Ferbamine displayed convincing performance in detecting laccase activity on Ferbamine-agar plates in commercial laccase products and the collection of extracts from wild terrestrial fungi (42 species, 65 extracts), of which 26 species have not been described to have laccase activity prior to this work. Incubation of microorganisms on Ferbamine-agar plates showed its compatibility with live colonies. Ferbamine proved to be an easy-to-use substrate, which could be a great addition to the toolbox of methods for the functional analysis of laccases.
Impact on cardiovascular outcome of coronary revascularization-induced changes in ischemic perfusion defect and myocardial flow reserve
Authors: Assante Roberta , Zampella Emilia , D’Antonio Adriana , Mannarino Teresa , Gaudieri Valeria , Nappi Carmela , Arumugam Parthiban , Panico Mariarosaria , Buongiorno Pietro , Petretta Mario , Cuocolo Alberto , Acampa Wanda
Published: January 2024

Purpose

We evaluated the impact on cardiovascular outcome of coronary revascularization-induced changes in ischemic total perfusion defect (ITPD) and myocardial flow reserve (MFR) as assessed by 82Rb positron emission tomography (PET)/computed tomography (CT) imaging.

Methods

The study included 102 patients referred to 82Rb PET/CT myocardial perfusion imaging before and after coronary revascularization. All patients were followed for the occurrence of cardiovascular events (cardiac death, nonfatal myocardial infarction, repeated revascularization, and heart failure) after the second imaging study.

Results

During a median follow-up of 20 months, 21 events occurred. The clinical characteristics were comparable between patients with and without events. In the overall study population, after revascularization, there was a significant reduction (P < 0.001) of ITPD, while hyperemic myocardial blood flow (MBF) (P < 0.01) and MFR (P < 0.05) significantly improved. Event rate was higher in patients with ITPD (P < 0.005) or MFR (P < 0.001) worsening compared to those with unchanged or improved ITPD or MFR. At Cox univariable analysis, ITPD and MFR worsening resulted in predictors of events (both P < 0.05). Patients with worsening of both ITPD and MFR had the worst event-free survival (log-rank 32.9, P for trend < 0.001).

Conclusions

In patients with stable CAD, worsening of ITPD and MFR after revascularization procedures is associated with higher risk of cardiovascular events. Follow-up MPI with 82Rb PET/CT may improve risk stratification in patients submitted to coronary revascularization.
Psychosoziales Wohlbefinden und mögliche Wechselwirkungen mit Nacken- und Schulterbeschwerden
Authors: Jedlicka F. C. , Guelen E. , Fehrmann E.
Published: January 2024

Nacken- und Schulterbeschwerden gehören zu den am meisten verbreiteten Schmerzen in der modernen Gesellschaft. Neben allgemeinen Risikofaktoren wie weibliches Geschlecht, Länge der täglichen Computer‑/Handynutzung, mangelnde Körperaktivität und Vorkommen von ähnlichen Schmerzen in der Vergangenheit spielen psychosoziale sowie emotionale Risikofaktoren eine große Rolle. Maladaptive Einstellungen, Glaubenssätze und Kognitionen bezüglich der Erwartungen von Schmerzempfinden, Katastrophisierungstendenzen, niedrige Selbstwirksamkeitserwartungen sowie Angst-Vermeidungsverhalten können das Vorkommen und die Chronifizierung von Nacken- und Schulterschmerzen negativ beeinflussen. Inadäquater Umgang mit Stress im Alltag und im Arbeitskontext sowie mangelnder sozialer Rückhalt können sich zudem als körperliche Schmerzsymptomatik in der Nacken- und Schulterregion manifestieren. Emotionale Faktoren wie Angst und Depressionen weisen hierbei wechselseitige Beeinflussungen auf das Schmerzempfinden auf und wirken schmerzauslösend und -aufrechterhaltend. Psychologische Therapien sollten dabei helfen, psychoemotionale Resilienzfaktoren zu stärken sowie vorhandene stress- und schmerzbezogene maladaptive Bewältigungsstrategien und Glaubenssätze zu verändern. Insbesondere das Implementieren von kognitiv-verhaltenstherapeutischen und achtsamkeitsbasierten Therapieansätzen in ein biopsychosoziales Konzept zur Behandlung von Schulter- und Nackenschmerzen könnte eine gezielte Verbesserung des psychosozialen Wohlbefindens fördern.
Novel lissencephaly-associated NDEL1 variant reveals distinct roles of NDE1 and NDEL1 in nucleokinesis and human cortical malformations
Authors: Tsai Meng-Han , Ke Hao-Chen , Lin Wan-Cian , Nian Fang-Shin , Huang Chia-Wei , Cheng Haw-Yuan , Hsu Chi-Sin , Granata Tiziana , Chang Chien-Hui , Castellotti Barbara , Lin Shin-Yi , Doniselli Fabio M. , Lu Cheng-Ju , Franceschetti Silvana , Ragona Francesca , Hou Pei-Shan , Canafoglia Laura , Tung Chien-Yi , Lee Mei-Hsuan , Wang Won-Jing , Tsai Jin-Wu
Published: January 2024

The development of the cerebral cortex involves a series of dynamic events, including cell proliferation and migration, which rely on the motor protein dynein and its regulators NDE1 and NDEL1. While the loss of function in NDE1 leads to microcephaly-related malformations of cortical development (MCDs), NDEL1 variants have not been detected in MCD patients. Here, we identified two patients with pachygyria, with or without subcortical band heterotopia (SBH), carrying the same de novo somatic mosaic NDEL1 variant, p.Arg105Pro (p.R105P). Through single-cell RNA sequencing and spatial transcriptomic analysis, we observed complementary expression of Nde1/NDE1 and Ndel1/NDEL1 in neural progenitors and post-mitotic neurons, respectively. Ndel1 knockdown by in utero electroporation resulted in impaired neuronal migration, a phenotype that could not be rescued by p.R105P. Remarkably, p.R105P expression alone strongly disrupted neuronal migration, increased the length of the leading process, and impaired nucleus–centrosome coupling, suggesting a failure in nucleokinesis. Mechanistically, p.R105P disrupted NDEL1 binding to the dynein regulator LIS1. This study identifies the first lissencephaly-associated NDEL1 variant and sheds light on the distinct roles of NDE1 and NDEL1 in nucleokinesis and MCD pathogenesis.
Head-to-head study of diagnostic accuracy of plasma and cerebrospinal fluid p-tau217 versus p-tau181 and p-tau231 in a memory clinic cohort
Authors: Mendes Augusto J. , Ribaldi Federica , Lathuiliere Aurelien , Ashton Nicholas J. , Janelidze Shorena , Zetterberg Henrik , Scheffler Max , Assal Frédéric , Garibotto Valentina , Blennow Kaj , Hansson Oskar , Frisoni Giovanni B.
Published: January 2024

Background and objective

Phosphorylated tau (p-tau) 217 has recently received attention because it seems more reliable than other p-tau variants for identifying Alzheimer’s disease (AD) pathology. Thus, we aimed to compare the diagnostic accuracy of plasma and CSF p-tau217 with p-tau181 and p-tau231 in a memory clinic cohort.

Methods

The study included 114 participants (CU = 33; MCI = 67; Dementia = 14). The p-tau variants were correlated versus continuous measures of amyloid (A) and tau (T)-PET. The p-tau phospho-epitopes were assessed through: (i) effect sizes (δ) between diagnostic and A ± and T ± groups; (ii) receiver operating characteristic (ROC) analyses in A-PET and T-PET.

Results

The correlations between both plasma and CSF p-tau217 with A-PET and T-PET (r range 0.64–0.83) were stronger than those of p-tau181 (r range 0.44–0.79) and p-tau231 (r range 0.46–0.76). Plasma p-tau217 showed significantly higher diagnostic accuracy than p-tau181 and p-tau231 in (i) differences between diagnostic and biomarker groups (δrange: p-tau217 = 0.55–0.96; p-tau181 = 0.51–0.67; p-tau231 = 0.53–0.71); (ii) ROC curves to identify A-PET and T-PET positivity (AUCaverage: p-tau217 = 0.96; p-tau181 = 0.76; p-tau231 = 0.79). On the other hand, CSF p-tau217 (AUCaverage = 0.95) did not reveal significant differences in A-PET and T-PET AUC than p-tau181 (AUCaverage = 0.88) and p-tau231 (AUCaverage = 0.89).

Discussion

Plasma p-tau217 demonstrated better performance in the identification of AD pathology and clinical phenotypes in comparison with other variants of p-tau in a memory clinic cohort. Furthermore, p-tau217 had comparable performance in plasma and CSF. Our findings suggest the potential of plasma p-tau217 in the diagnosis and screening for AD, which could allow for a decreased use of invasive biomarkers in the future.
OsNAC103, an NAC transcription factor negatively regulates plant height in rice
Authors: Li Yan , Zhao Liming , Guo Chiming , Tang Ming , Lian Wenli , Chen Siyu , Pan Yuehan , Xu Xiaorong , Luo Chengke , Yi Yin , Cui Yuchao , Chen Liang
Published: January 2024

Main conclusion

OsNAC103 negatively regulates rice plant height by influencing the cell cycle and crosstalk of phytohormones.

Plant height is an important characteristic of rice farming and is directly related to agricultural yield. Although there has been great progress in research on plant growth regulation, numerous genes remain to be elucidated. NAC transcription factors are widespread in plants and have a vital function in plant growth. Here, we observed that the overexpression of OsNAC103 resulted in a dwarf phenotype, whereas RNA interference (RNAi) plants and osnac103 mutants showed no significant difference. Further investigation revealed that the cell length did not change, indicating that the dwarfing of plants was caused by a decrease in cell number due to cell cycle arrest. The content of the bioactive cytokinin N6-Δ2-isopentenyladenine (iP) decreased as a result of the cytokinin synthesis gene being downregulated and the enhanced degradation of cytokinin oxidase. OsNAC103 overexpression also inhibited cell cycle progression and regulated the activity of the cell cyclin OsCYCP2;1 to arrest the cell cycle. We propose that OsNAC103 may further influence rice development and gibberellin–cytokinin crosstalk by regulating the Oryza sativa homeobox 71 (OSH71). Collectively, these results offer novel perspectives on the role of OsNAC103 in controlling plant architecture.
Clustering the cortical laminae: in vivo parcellation
Authors: Shamir Ittai , Assaf Yaniv , Shamir Ron
Published: January 2024

The laminar microstructure of the cerebral cortex has distinct anatomical characteristics of the development, function, connectivity, and even various pathologies of the brain. In recent years, multiple neuroimaging studies have utilized magnetic resonance imaging (MRI) relaxometry to visualize and explore this intricate microstructure, successfully delineating the cortical laminar components. Despite this progress, T1 is still primarily considered a direct measure of myeloarchitecture (myelin content), rather than a probe of tissue cytoarchitecture (cellular composition). This study aims to offer a robust, whole-brain validation of T1 imaging as a practical and effective tool for exploring the laminar composition of the cortex. To do so, we cluster complex microstructural cortical datasets of both human (N = 30) and macaque (N = 1) brains using an adaptation of an algorithm for clustering cell omics profiles. The resulting cluster patterns are then compared to established atlases of cytoarchitectonic features, exhibiting significant correspondence in both species. Lastly, we demonstrate the expanded applicability of T1 imaging by exploring some of the cytoarchitectonic features behind various unique skillsets, such as musicality and athleticism.
Prognostic and diagnostic utility of interleukin-6 in pediatric pulmonary arterial hypertension — a case-control study
Authors: Megied Mohamed Abdallah Abd El , Abouelhassan Mohammed Ahmed , Hadwa Eman Saad Abd El Salam
Published: January 2024

Pulmonary arterial hypertension (PAH) in pediatrics is a progressive disease with significant vascular remodeling, right sided heart failure, and death if left untreated. Elevated interleukin-6 (IL-6) level in PAH patients is taken as an independent predictor of adverse outcome including mortality. The aim of this study was to investigate and compare serum levels of IL-6 in children with PAH and healthy matched controls, and correlate between IL-6 and degree of PAH, as well as mortality. IL-6 was measured by ELISA in serum samples in 40 children with PAH (age 1–12 years) and 40 age and sex-matched healthy controls. There was a statistically significant increase in IL-6 level among PAH cases compared with the controls (1.85 ng/L vs 1.30 ng/L, p-value = 0.004). IL-6 at cut off point 1.45 ng/L significantly predict pulmonary hypertension in children (AUC = 0.685, 75% sensitivity, and 65% specificity with p = 0.002). There was no statistically significant association between IL-6 level and degree of PAH (p = 0.218). There was no statistically significant association between IL-6 level and mortality (p = 0.662).

   Conclusion: IL-6 significantly predict PAH in pediatrics but there is no association between IL-6 level and degree of PAH or mortality. IL-6 may provide a less costly and less invasive method for disease detection.

What is Known:• Definitive diagnosis of PAH is made by right heart catheterization, while echocardiography is the gold standard for tracking the course of the disease.

What is New:• It was assumed that children with a diagnosis of PAH would have higher serum IL-6 levels than controls. Furthermore, an adverse relationship between the blood IL-6 level and PPAH was predicted.
NUDT21 interacts with NDUFS2 to activate the PI3K/AKT pathway and promotes pancreatic cancer pathogenesis
Authors: Huang Xiao-Dong , Chen Yong-Wei , Tian Lv , Du Li , Cheng Xiao-Chen , Lu Yu-Xin , Lin Dong-Dong , Xiao Feng-Jun
Published: January 2024

Background

NUDT21 (Nudix Hydrolase 21) has been shown to play an essential role in multiple biological processes. Pancreatic adenocarcinoma (PAAD) is one of the most fatal cancers in the world. However, the biological function of NUDT21 in PAAD remains rarely understood. The aim of this research was to identify the prediction value of NUDT21 in diagnosis, prognosis, immune infiltration, and signal pathway in PAAD.

Methods

Combined with the data in online databases, we analyzed the expression, immune infiltration, function enrichment, signal pathway, diagnosis, and prognosis of NUDT21 in PAAD. Then, the biological function of NUDT21 and its interacted protein in PAAD was identified through plasmid transduction system and protein mass spectrometry. Expression of NUDT21 was further verified in clinical specimens by immunofluorescence.

Results

We found that NUDT21 was upregulated in PAAD tissues and was significantly associated with the diagnosis and prognosis of pancreatic cancer through bioinformatic data analysis. We also found that overexpression of NUDT21 enhanced PAAD cells proliferation and migration, whereas knockdown NUDT21 restored the effects through in vitro experiment. Moreover, NDUFS2 was recognized as a potential target of NUDT21.We further verified that the expression of NDUFS2 was positively correlated with NUDT21 in PAAD clinical specimens. Mechanically, we found that NUDT21 stabilizes NDUFS2 and activates the PI3K-AKT signaling pathway.

Conclusion

Our investigation reveals that NUDT21 is a previously unrecognized oncogenic factor in the diagnosis, prognosis, and treatment target of PAAD, and we suggest that NUDT21 might be a novel therapeutic target in PAAD.
Detection of tick-borne bacterial DNA (Rickettsia sp.) in reptile ticks Amblyomma moreliae from New South Wales, Australia
Authors: Kim Michelle Misong , Shea Glenn , Šlapeta Jan
Published: January 2024

Ticks are major arthropod vectors of disease, transmitting tick-borne pathogens during blood meal episodes. Rickettsia spp. and Borrelia spp. are two tick-borne pathogens of zoonotic concern previously identified in DNA isolates from the tick genera Amblyomma and Bothriocroton associated with reptilian hosts in Australia. Some reports suggest that these reptile ticks bite and attach to humans via accidental parasitism and transmit disease, with the tick Bothriocroton hydrosauri known to transmit Rickettsia honei or Flinders Island Spotted Fever Rickettsia to humans. This descriptive study aims to identify the ticks collected from wild reptiles submitted to veterinary clinics and captured by snake rescuers from New South Wales (NSW), Australia, and detect the presence of tick-borne bacterial DNA using quantitative polymerase chain reaction (qPCR) to detect Rickettsia spp. and Bartonella spp. and conventional nested-PCR to detect Borrelia spp. Morphological identification revealed ticks removed from one eastern blue-tongued lizard (Tiliqua scincoides scincoides) from North-Eastern NSW (Lismore), one eastern blue-tongued lizard from the Greater Sydney area (Canley Heights), one diamond python (Morelia spilota spilota) from the Greater Sydney area (Woronora Heights) and one red-bellied black snake (Pseudechis porphyriacus) from the Greater Sydney Area (Cronulla) in New South Wales were Amblyomma moreliae. No ticks were positive for Bartonella spp. and Borrelia spp. DNA using real-time PCR targeting ssrA gene and nested PCR targeting Borrelia-specific 16S rRNA gene, respectively. Real-time PCR targeting gltA, ompA, ompB and 17kDa gene of Rickettsia spp. revealed 14 out of 16 ticks were positive. The undescribed Rickettsia sp. DNA was identical to that previously recovered from reptile ticks in Australia and closely related to Rickettsia tamurae and Rickettsia monacensis, both of which are aetiologic pathogens of the Spotted Fever Group Rickettsiosis (SFGR). These results accentuate the ongoing need for increased study efforts to understand zoonotic potential of bacteria from reptile ticks and the tick-reptile-human relationship.
A general framework of high-performance machine learning algorithms: application in structural mechanics
Authors: Markou George , Bakas Nikolaos P. , Chatzichristofis Savvas A. , Papadrakakis Manolis
Published: January 2024

Data-driven models utilizing powerful artificial intelligence (AI) algorithms have been implemented over the past two decades in different fields of simulation-based engineering science. Most numerical procedures involve processing data sets developed from physical or numerical experiments to create closed-form formulae to predict the corresponding systems’ mechanical response. Efficient AI methodologies that will allow the development and use of accurate predictive models for solving computational intensive engineering problems remain an open issue. In this research work, high-performance machine learning (ML) algorithms are proposed for modeling structural mechanics-related problems, which are implemented in parallel and distributed computing environments to address extremely computationally demanding problems. Four machine learning algorithms are proposed in this work and their performance is investigated in three different structural engineering problems. According to the parametric investigation of the prediction accuracy, the extreme gradient boosting with extended hyper-parameter optimization (XGBoost-HYT-CV) was found to be more efficient regarding the generalization errors deriving a 4.54% residual error for all test cases considered. Furthermore, a comprehensive statistical analysis of the residual errors and a sensitivity analysis of the predictors concerning the target variable are reported. Overall, the proposed models were found to outperform the existing ML methods, where in one case the residual error was decreased by 3-fold. Furthermore, the proposed algorithms demonstrated the generic characteristic of the proposed ML framework for structural mechanics problems.
Comparative evaluation of performances of algae indices, pixel- and object-based machine learning algorithms in mapping floating algal blooms using Sentinel-2 imagery
Authors: Colkesen Ismail , Ozturk Muhammed Yusuf , Altuntas Osman Yavuz
Published: January 2024

One of the main threats to freshwater resources is pollution from anthropogenic activities such as rapid urbanization and excessive agricultural nutrient runoff. Remote sensing technologies have been effectively used in monitoring and mapping rapid changes in the marine environment and assessing the overall health of freshwater ecosystems. The main goal of this study is to comparatively evaluate the performance of index-based and classification-based approaches in mapping dense floating algal blooms observed in Lake Burdur using Sentinel-2 imagery. For index-based mapping, algae-specific indices, namely the Floating Algae Index (FAI), Adjusted Floating Algae Index, Surface Algal Blooms Index (SABI), and Algal Blooms Detection Index (ABDI), were used. At the same time, pixel- and object-based Random Forest (RF), eXtreme Gradient Boosting (XGBoost), and Long Short-Term Memory Network (LSTM) were utilized for classification-based algal mapping. For this purpose, seven Sentinel-2 images, selected through time series analysis performed on the Google Earth Engine platform, were used as the primary dataset in the application. The results show that high-density floating algae formations can be detected over 99% by both indices and classification-based approaches, whereas pixel-based classification is more successful in mapping low-density algal blooms. When two-class thematic maps representing water and floating algae classes were considered, the maps produced by index-based FAI using an appropriate threshold value and the classification-based RF algorithm reached an overall accuracy of over 99%. The highest algae density in the lake was observed on July 13, 2021, and was determined to be effective in ~ 45 km2 of the lake’s surface.
Multimodal fusion for audio-image and video action recognition
Authors: Shaikh Muhammad Bilal , Chai Douglas , Islam Syed Mohammed Shamsul , Akhtar Naveed
Published: January 2024

Multimodal Human Action Recognition (MHAR) is an important research topic in computer vision and event recognition fields. In this work, we address the problem of MHAR by developing a novel audio-image and video fusion-based deep learning framework that we call Multimodal Audio-Image and Video Action Recognizer (MAiVAR). We extract temporal information using image representations of audio signals and spatial information from video modality with the help of Convolutional Neutral Networks (CNN)-based feature extractors and fuse these features to recognize respective action classes. We apply a high-level weights assignment algorithm for improving audio-visual interaction and convergence. This proposed fusion-based framework utilizes the influence of audio and video feature maps and uses them to classify an action. Compared with state-of-the-art audio-visual MHAR techniques, the proposed approach features a simpler yet more accurate and more generalizable architecture, one that performs better with different audio-image representations. The system achieves an accuracy 87.9% and 79.0% on UCF51 and Kinetics Sounds datasets, respectively. All code and models for this paper will be available at https://tinyurl.com/4ps2ux6n.
In situ Investigation of the Moisture Distribution and Deterioration of the Façade of Limestone Rock-Hewn Heritage
Authors: Wang Yinghong , Hao Zeqi , Zhang Hui
Published: January 2024

Water plays a vital role in deteriorating stone heritage, especially those carved into vertical rock slopes. Southeast China is home to numerous limestone rock-hewn heritages, many of which showcase diverse deterioration patterns on their facades. Nevertheless, due to the large scale of this heritage and the limitations imposed by the principle of minimal intervention in practices, there is still a lack of practical strategies for understanding moisture distribution. Therefore, this study aims to analyse the moisture distribution of limestone rock-hewn statues via in situ detection employing a portable hygrometer and laboratory calibration based on the gravimetric method and regression analysis. The in situ determination was conducted in the Ciyunling statues niche 1 (World Heritage Site), which was hewn in the Wuyue states (942 CE). Thirty-six measuring areas were evenly planned on the niche's façade, with 20 moisture readings obtained from each measuring area. Additionally, the surface hardness of the typical area of statues was examined using a non-invasive Leeb hardness tester and Kruskal–Wallis H test to assess the impact of moisture on deterioration. The findings reveal that the statues' moisture content is higher than the background wall between the statues, signalling a greater potential for deterioration on the surface of the limestone statue. The primary source of moisture appears to be gaseous water in the atmosphere, which accumulates in the micropores through capillary condensation. Furthermore, the statistically significant differences in surface hardness between the chest/shoulder of statues and the root of the façade highlight the softening effect of moisture on the foundation of the limestone statues. Hence, the methodology utilised in this study serves as a viable approach for examining moisture levels and the extent of deterioration in rock-hewn heritage structures.
Can delta neutrophil index values predict the success of periodontal treatment in patients with periodontitis?
Authors: Özdemir Eda Çetin , Bozkurt Esra , Yazar Fatih Mehmet , Bozan Mehmet Buğra
Published: January 2024

Objectives

The aim of this study was to evaluate the effect of delta neutrophil index (DNI) on non-surgical periodontal therapy (NSPT), whose role has been documented in the pathogenesis and follow-up of periodontal disease.

Methods and materials

The study included 35 patients with stage 3, grade A periodontitis (test group) and 35 patients without periodontal disease (control group). Initially, periodontal parameters were recorded and blood samples were taken from all patients. For patients with periodontitis, periodontal parameter measurements and blood sample analyses were repeated 3 months after NSPT.

Results

After NSPT, DNI, CRP (C-reactive protein), neutrophil count, WBC (white blood cell), and neutrophil–lymphocyte ratio (NLR) values decreased in the test group, but did not reach a statistically significant level (p > 0.05). When the inflammatory variables were examined, significantly higher CRP, IG (immature granulocytes), DNI, neutrophil count, and WBC were observed in the test group compared to the control group (p < 0.05). In the test group, periodontal parameters were lower 3 months after NSPT than at baseline (p < 0.05).

Conclusion

Consistent with previous findings in the literature, the patients with periodontitis were determined to have higher levels of DNI, CRP, neutrophils, and WBC, compared to the individuals without periodontitis. Although a decrease was seen in DNI after NSPT, this was not at a significant level.

Clinical relevance

DNI is a guide in the evaluation of inflammation at the onset of periodontal disease, but studies with a larger number of cases are needed to use these parameters in the evaluation of treatment success.

Trial registration

This study was retrospectively registered on December 27, 2022, with the number NCT05666622 at http://www.clinicaltrials.gov.
Carbon emissions mitigation methods for cement industry using a systems dynamics model
Authors: Ige Oluwafemi Ezekiel , Von Kallon Daramy Vandi , Desai Dawood
Published: January 2024

Cement production contributes significantly to anthropogenic greenhouse gas emissions (GHG), a major contributor to global carbon emissions. The environmental impacts of cement production have grown in recent years and it is urgent to reduce its carbon footprint. Systems dynamics (SD) is a simulation method used to understand the nonlinear behavior of complex systems over time. It is commonly used in various sectors to predict emissions and conduct policy experiments. Due to the poor implementation of carbon mitigation strategies within the cement industry, enhancing policymaking by employing more advanced decision-support tools is necessary. This paper reviews previous studies that use the SD approach to assess and compare different mitigation strategies proposed and implemented to reduce carbon emissions in the cement industry. These strategies encompass technological advancements and process improvements, including using alternative fuels and raw materials (adopting low-carbon cementitious materials), energy efficiency improvements, carbon capture and storage and waste heat recovery. The review examines the papers' scope, model descriptions, validation method and mitigation methods highlighted in each study, providing valuable insights for decision makers in the cement industry. Furthermore, the paper discusses the limitations and gaps related to SD modeling, highlighting important factors such as stakeholder engagement in designing effective carbon mitigation strategies. The reviewed studies constantly emphasized technical strategies for mitigating carbon emissions from the cement industry, as stated by the International Energy Agency (IEA) classification. Innovative and emerging technologies, such as WHR, depends on adequate funding, motivation and research and development. However, they frequently neglected to address the barriers hindering their implementation or provide detailed policy measures to overcome them using SD. Additional research is required to assess the practicality and costs of implementing these strategies.

Graphical abstract

Navigating the way to sustainability in the cement industry: Exploring mitigation strategies through systems dynamics model
Cost-effectiveness of two online interventions supporting self-care for eczema for parents/carers and young people
Authors: Sach Tracey H. , Onoja Mary , Clarke Holly , Santer Miriam , Muller Ingrid , Becque Taeko , Stuart Beth , Hooper Julie , Steele Mary , Wilczynska Sylvia , Ridd Matthew J. , Roberts Amanda , Ahmed Amina , Yardley Lucy , Little Paul , Greenwell Kate , Sivyer Katy , Nuttall Jacqui , Griffiths Gareth , Lawton Sandra , Langan Sinéad M. , Howells Laura , Leighton Paul , Williams Hywel C. , Thomas Kim S.
Published: January 2024

Objective

To estimate the cost-effectiveness of online behavioral interventions (EczemaCareOnline.org.uk) designed to support eczema self-care management for parents/carers and young people from an NHS perspective.

Methods

Two within-trial economic evaluations, using regression-based approaches, adjusting for baseline and pre-specified confounder variables, were undertaken alongside two independent, pragmatic, parallel group, unmasked randomized controlled trials, recruiting through primary care. Trial 1 recruited 340 parents/carers of children aged 0–12 years and Trial 2 337 young people aged 13–25 years with eczema scored ≥ 5 on Patient-Oriented Eczema Measure (POEM). Participants were randomized (1:1) to online intervention plus usual care or usual care alone. Resource use, collected via medical notes review, was valued using published unit costs in UK £Sterling 2021. Quality-of-life was elicited using proxy CHU-9D in Trial 1 and self-report EQ-5D-5L in Trial 2.

Results

The intervention was dominant (cost saving and more effective) with a high probability of cost-effectiveness (> 68%) in most analyses. The exception was the complete case cost–utility analysis for Trial 1 (omitting participants with children aged < 2), with adjusted incremental cost savings of -£34.15 (95% CI  – 104.54 to 36.24) and incremental QALYs of – 0.003 (95% CI  – 0.021 to 0.015) producing an incremental cost per QALY of £12,466. In the secondary combined (Trials 1 and 2) cost-effectiveness analysis, the adjusted incremental cost was -£20.35 (95% CI  – 55.41 to 14.70) with incremental success (≥ 2-point change on POEM) of 10.3% (95% CI 2.3–18.1%).

Conclusion

The free at point of use online eczema self-management intervention was low cost to run and cost-effective.

Trial registration

This trial was registered prospectively with the ISRCTN registry (ISRCTN79282252). URL www.EczemaCareOnline.org.uk.
A deep learning approach based on multi-view consensus for SQL injection detection
Authors: Kakisim Arzu Gorgulu
Published: January 2024

SQL injection (SQLi) attacks are one of the oldest and most serious security threats, consistently ranking among the top ten critical web security risks. Traditional defense mechanisms against SQL injection predominantly use blacklists to disallow common injection characters or terms. However, the major challenge for these systems is to create a comprehensive list of potential SQLi characters, terms, and multi-terms that encompass various types of SQLi attacks (time-based, error-based, etc.), taking into account various SQL datasets (such as MySQL, Oracle, and NoSQL). Recently, some research studies have concentrated on feature learning from SQL queries by applying some well-known deep architectures to detect SQLi attacks. Motivated by a similar objective, this research introduces a novel deep learning-based SQLi detection system named “Bidirectional LSTM-CNN based on Multi-View Consensus” (MVC-BiCNN). The proposed method implements a pre-processing step that generates multiple views from SQL data by semantically encoding SQL statements into their corresponding SQL tags. By utilizing two different main layers, which are bidirectional long short-term memory (LSTM) and convolutional neural network (CNN), the proposed method learns a joint latent space from multi-view representations. In the detection phase, the proposed method yields separate predictions for each representation and assesses whether the query constitutes an SQLi attack based on a consensus function’s output. Moreover, Interpretable Model-Agnostic Annotations (LIME), one of the methods of Explainable Artificial Intelligence (XAI), is employed for the purpose of interpreting the model’s results and analyzing the SQL injection (SQLi) inputs. The experimental results demonstrate that MVC-BiCNN outperforms the baseline methods, yielding 99.96% detection rate.
Integrated Automatic Examination Assignment Reduces Radiologist Interruptions: A 2-Year Cohort Study of 232,022 Examinations
Authors: Law Wyanne , Terzic Admir , Chaim Joshua , Erinjeri Joseph P. , Hricak Hedvig , Vargas Hebert Alberto , Becker Anton S.
Published: January 2024

Radiology departments face challenges in delivering timely and accurate imaging reports, especially in high-volume, subspecialized settings. In this retrospective cohort study at a tertiary cancer center, we assessed the efficacy of an Automatic Assignment System (AAS) in improving radiology workflow efficiency by analyzing 232,022 CT examinations over a 12-month period post-implementation and compared it to a historical control period. The AAS was integrated with the hospital-wide scheduling system and set up to automatically prioritize and distribute unreported CT examinations to available radiologists based on upcoming patient appointments, coupled with an email notification system. Following this AAS implementation, despite a 9% rise in CT volume, coupled with a concurrent 8% increase in the number of available radiologists, the mean daily urgent radiology report requests (URR) significantly decreased by 60% (25 ± 12 to 10 ± 5, t = -17.6, p < 0.001), and URR during peak days (95th quantile) was reduced by 52.2% from 46 to 22 requests. Additionally, the mean turnaround time (TAT) for reporting was significantly reduced by 440 min for patients without immediate appointments and by 86 min for those with same-day appointments. Lastly, patient waiting time sampled in one of the outpatient clinics was not negatively affected. These results demonstrate that AAS can substantially decrease workflow interruptions and improve reporting efficiency.
First-year Preservice Teachers’ Understanding of Digital Technologies and Their Digital Literacy, Efficacy, Attitude, and Online Learning Engagement: Implication for Course Design
Authors: Getenet Seyum , Haeusler Carole , Redmond Petrea , Cantle Robert , Crouch Vanessa
Published: January 2024

Ensuring quality education for all students requires teachers to possess knowledge and skills in utilising digital technologies effectively for teaching and learning. This study explored how pre-service teachers (PSTs) perceive their digital attitude, efficacy, literacy, engagement, and understanding of digital technologies in an online learning environment. The study employed a mixed-methods research approach. A survey comprising Likert Scale questions and demographic information was administered to 110 PSTs from a regional university. Descriptive statistics were employed to investigate the relationship between PSTs’ understanding of digital technologies and their attitude, literacy, self-efficacy, and learning engagement in online learning. To illustrate the frequently used words in participants’ definitions of digital technologies, a ‘word cloud’ representation was utilised, accompanied by quantitative weightings of key terms. The study revealed significant connections between PST self-efficacy and their attitudes toward digital technologies, digital literacies, and learner engagement. Notably, most of the PSTs exhibited narrower definitions of digital technologies than anticipated. The implications of these findings for course design are discussed, emphasising the need to address PSTs’ perceptions of digital technologies, foster their self-efficacy, and enhance their digital literacy and engagement in online learning environments. Understanding these factors can lead to more effective integration of digital technologies in teacher education program courses, ultimately preparing future teachers for digital-age classrooms.
Towards a Model-Based Interpretation of Measurements of Mineralogical and Chemical Compositions
Authors: Hauser Juerg , Miron George D. , Kyas Svetlana , Leal Allan M. M. , Gunning James
Published: January 2024

We introduce a new methodology for inference of fluid composition from measurements of mineralogical or chemical compositions, expanding upon the use of reactive transport models to understand hydrothermal alteration processes. The reactive transport models are used to impute a latent variable explanatory mechanism in the formation of hydrothermal alteration zones and mineral deposits. An expectation maximisation algorithm is then employed to solve the joint problem of identifying alteration zones in the measured data and estimating the fluid composition, based on the fit between the mineral abundances in the measured and predicted alteration zones. Using the hydrothermal alteration of granite as a test case (greisenisation), a range of synthetic tests is presented to illustrate how the methodology enables objective inference of the mineralising fluid. For field data from the East Kemptville tin deposit in Nova Scotia, the technique generates inferences for the fluid composition which compare favourably with previous independent estimates, demonstrating the feasibility of the proposed calibration methodology.
Ideological cleavages beyond the nation-state: The emergence of transnational political groups in international parliaments
Authors: Gurova Siyana
Published: January 2024

Territorial divisions are commonly believed to dominate the international realm, supposedly leaving no room for ideological distinctions to take shape. However, the formation of over fifty transnational political groups (TPGs) across thirteen international parliaments challenges this assumption, calling into question the previously accepted insignificance of ideology beyond the boundaries of the nation-state. Previously unexplored in comparative perspective, this paper investigates TPGs’ puzzling existence and delineates the conditions for their emergence within international parliaments. The theoretical argument is that homogeneity across the member states of the international parliament along three dimensions – political systems, economic development levels and geographical proximity – fosters the creation of transnational political groups. Results from regression analysis on time series cross-sectional data lend support to the theory. With the rise of international parliamentary institutions and their increased involvement in supranational decision-making over time, it becomes highly important to understand how they organize as well as the implications of their institutional designs.
Can urban forests provide acoustic refuges for birds? Investigating the influence of vegetation structure and anthropogenic noise on bird sound diversity
Authors: Hao Zezhou , Zhang Chengyun , Li Le , Sun Bing , Luo Shuixing , Liao Juyang , Wang Qingfei , Wu Ruichen , Xu Xinhui , Lepczyk Christopher A. , Pei Nancai
Published: January 2024

As a crucial component of terrestrial ecosystems, urban forests play a pivotal role in protecting urban biodiversity by providing suitable habitats for acoustic spaces. Previous studies note that vegetation structure is a key factor influencing bird sounds in urban forests; hence, adjusting the frequency composition may be a strategy for birds to avoid anthropogenic noise to mask their songs. However, it is unknown whether the response mechanisms of bird vocalizations to vegetation structure remain consistent despite being impacted by anthropogenic noise. It was hypothesized that anthropogenic noise in urban forests occupies the low-frequency space of bird songs, leading to a possible reshaping of the acoustic niches of forests, and the vegetation structure of urban forests is the critical factor that shapes the acoustic space for bird vocalization. Passive acoustic monitoring in various urban forests was used to monitor natural and anthropogenic noises, and sounds were classified into three acoustic scenes (bird sounds, human sounds, and bird-human sounds) to determine interconnections between bird sounds, anthropogenic noise, and vegetation structure. Anthropogenic noise altered the acoustic niche of urban forests by intruding into the low-frequency space used by birds, and vegetation structures related to volume (trunk volume and branch volume) and density (number of branches and leaf area index) significantly impact the diversity of bird sounds. Our findings indicate that the response to low and high frequency signals to vegetation structure is distinct. By clarifying this relationship, our results contribute to understanding of how vegetation structure influences bird sounds in urban forests impacted by anthropogenic noise.
Malaria Prevalence in Asymptomatic and Symptomatic Children Living in Rural, Semi-Urban and Urban Areas in Eastern Gabon
Authors: Kouna Lady Charlène , Oyegue-Liabagui Sandrine Lydie , Voumbo-Matoumona Dominique Fatima , Lekana-Douki Jean Bernard
Published: January 2024

Background

Malaria remains a major public health issue in the world despite a decline in the disease burden. However, though symptomatic malaria is diagnosed and treated, asymptomatic infections remain poorly known and support transmission. This study assessed the prevalence of symptomatic and asymptomatic Plasmodium spp. infections in three areas in Gabon to monitor and evaluate the impact of malaria.

Methods and Results

A cross-sectional study was conducted in three areas of Gabon. Febrile and afebrile children aged 6 months to 15 years were included in this study. Malaria prevalence was determined by microscopy of and using rapid diagnostic test (RDT). Plasmodium spp. species were identified by PCR according to the Snounou method. The data were recorded in Excel, and the statistical analyses were performed using the software R version R 64 × 3.5.0. A total of 2381(333 asymptomatic and 107 symptomatic) children were included. The overall prevalence of malaria was 40% (952/2381), with the majority (77% symptomatic and 98% asymptomatic) of infections caused by Plasmodium falciparum. A high prevalence of malaria was found in infected children in rural and semi-rural areas. In these two areas, a higher prevalence of Plasmodium malariae was observed in asymptomatic. Furthermore, mixed infections were more prevalent in asymptomatic children than in symptomatic.

Conclusion

This study showed that the prevalence of Plasmodium spp. infection varied according to the regions. The main species was Plasmodium falciparum, but in asymptomatic children the prevalence of Plasmodium malariae was high in rural areas. To help fight malaria more effectively asymptomatic infections should be taken into account and treated.
The Role of Target Melting in Particle Impact Ignition with Inert Particulate
Authors: Taylor Spencer V. , Eswarappa Prameela Suhas , Tylka Jonathan M. , Ochoa Ngozi C. , Charpagne Marie A. , Cordero Zachary C.
Published: January 2024

The high gas temperatures and oxygen pressures in the turbine of oxygen-rich turbomachinery put conventional engineering alloys such as IN718 at risk of particle impact ignition, i.e., metal fires initiated when particulate strikes a solid surface. The standard model of particle impact ignition assumes that the impacting particle must first ignite in order to kindle to the target material. Here, we invalidate this belief through particle impact ignition experiments which show that IN718 can ignite when struck by inert Al2O3 particles with supersonic impact velocities. Through post-mortem analysis of non-ignited samples, we find that subsonic particle impact causes minimal crater damage whereas supersonic particle impact leaves extensive crater plasticity and pileup, with evidence of molten ejecta near the impact site. Complementary finite element simulations of supersonic impact events confirm extreme adiabatic heating and localized melting. These findings demonstrate that particle impact can drive target ignition even in the absence of particle burning provided the thermal excursion at impact exceeds the melting point of the target material.
Integrative Oncology Approaches to Supporting Immune Checkpoint Inhibitor Treatment of Solid Tumours
Authors: Fuller-Shavel Nina , Krell Jonathan
Published: January 2024

Purpose of Review

The goal of this review was to examine the role and practical applications of integrative oncology strategies in supporting immune checkpoint inhibitor (ICI) treatment of adult solid tumours.

Recent Findings

Beyond tumour-intrinsic factors, several patient-associated factors affect ICI response, including germline genetics, systemic inflammation, the gut microbiota, and diet. Current promising supportive interventions include a Mediterranean-style diet with over 20 g of fibre, regular exercise, use of live biotherapeutics, minimisation of PPI and antibiotic use, and ensuring vitamin D repletion, with many other integrative oncology approaches under study. Caution around medical cannabis use in patients on ICIs is advised due to previously documented adverse impact on overall survival, while VAE (Viscum album extract) therapy studies have not highlighted any safety concerns so far.

With expanding ICI use, it is important to investigate and apply low-cost integrative oncology strategies to support better treatment outcomes and minimise adverse events. Further research may lead to pre-treatment assessment of both tumour and patient-associated biomarkers and personalised multimodal prehabilitation care plans, as well as on-treatment support with targeted nutrition, physical activity, and supplementation regimes, including both systemic inflammation and gut microbiome modulating strategies. Given the emerging understanding of chronic stress impact on ICI treatment outcomes, mind-body approaches require further investigation.