bluuebunny/crossref_metadata_2025 huggingface dataset:
A novel control chart scheme for online social network monitoring using multivariate nonparametric profile techniques
Authors: Karami Arya , Niaki Seyed Taghi Akhavan
Published: July 2024

Online social networks have become indispensable in modern life, facilitating knowledge sharing, social communication, and business marketing. To gain a deeper understanding of individuals' behavior within social networks, researchers have undertaken essential analytical tasks such as change point detection. Recently, nonparametric change point detection methods have attracted researchers' attention due to their generality and flexibility. However, existing methods exhibit limitations, including overlooking network structure, reliance on case-based network attributes, and neglecting the dynamic nature of data, which may have correlations in evolving social networks. In this study, we propose a novel multivariate mixed-effects nonparametric profile control (MENPC) algorithm to address these limitations. The advantage of MENPC relies on its unique point of view in approaching network data, where it incorporates the dynamic nature of data into the monitoring process without assuming internal independence of networks over time. Additionally, it takes into account the network structure by considering both nodal and network-level attributes. Furthermore, by introducing an updating trick formula, the proposed algorithm simplifies computations, effectively balancing memory and speed for online monitoring. We evaluate the effectiveness of MENPC through comprehensive numerical experiments using the degree correlated stochastic block model to simulate interactions in evolving online social networks. The results demonstrate MENPC's superior performance in terms of expected detection delay, showcasing its accuracy and efficiency in comparison to competing approaches including Wilson, and eigenvalue methods. Applying MENPC to the Enron email network dataset further confirms its significant progress in social network monitoring, expanding its potential for various applications.
Improved security of medical images using DWT–SVD watermarking mechanisms based on firefly Photinus search algorithm
Authors: Alomoush Waleed , Khashan Osama A. , Alrosan Ayat , Damseh Rafat , Alshinwan Mohammad , Abd-Alrazaq Alaa Ali , Deif Mohanad A.
Published: July 2024

Security is the primary concern in the transmission of medical images, as it involves sensitive patient information. This study introduces an optimized watermarking approach, constructed using discrete wavelet transform and singular value decomposition. The Low- level frequency bands (LL3) sub-band singular values of the host image were embedded with the singular values of a binary watermark using multiple scaling factors. These MSFs were optimized using a recently proposed firefly Photinus algorithm to balance robustness and imperceptibility. The proposed method was applied to various images, including computed tomography images, where the visual quality of the signed and attacked images was evaluated by peak signal-to-noise ratio (PSNR) and normalized cross-correlation. The performance of the proposed algorithm demonstrates significant improvements in the embedding and extraction processes, showing an enhancement in the balance between robustness and imperceptibility, with a PSNR above 79.28 dB, compared to other related works.
Mix design determination procedure for geopolymer concrete based on target strength method
Authors: Rathnayaka Madushan , Karunasingha Dulakshi , Gunasekara Chamila , Law David W. , Wijesundara Kushan , Lokuge Weena
Published: July 2024

This study presents the development and validation of a mix design determination procedure for geopolymer concrete to achieve the desired compressive strength. The procedure integrates artificial neural network (ANN) model developed based on a comprehensive data base from literature, data clustering, and parameter optimization techniques to enhance accuracy and reliability. Experimental validation is undertaken to demonstrate the mix design determination procedure’s capability to accurately predict mix designs for geopolymer concrete based on the target compressive strength, validating its efficacy for mix proportion determination. The integration of chemical oxide content in fly ash, curing time, curing temperature, and activator properties results in a 15.9% improvement in prediction accuracy for the training dataset and a 68.3% enhancement for the testing dataset, compared to the base ANN model that includes only the weight of fly ash and activator properties. Employing data clustering techniques enables the identification of prior estimates for the mix design parameters related to specific fly ash types and target compressive strength, streamlining the mix design process by analyzing pertinent data subsets. Parameter optimization ensures refined mix proportions, achieving the desired target strength economically while minimizing material waste and cost. The development of a user interface facilitates easy manipulation of mix designs, catering to users of varying expertise levels. Additional options for deeper insights into geopolymer concrete characteristics can be integrated into the mix design determination procedure. To assess the mix design determination procedure's ability to generalize effectively, a variety of fly ash samples with distinct chemical compositions were utilized, differing from those already present in the database. This approach allows for a thorough evaluation of the mix design determination procedure's performance when presented with fly ash compositions it has not encountered before. By doing so, this provides insights into the adaptability of the mix design determination procedure beyond the limitations of the training and testing datasets.
Social and built environmental factors associated with adult asthma hospital admission in the North Central Texas
Authors: Jahan Jinat , Li Jianling , Newcomb Patricia
Published: July 2024

Asthma, one of the most common chronic diseases of adults and children, is an important public health concern. The cause of asthma is thought to be a combination of genetic and environmental factors, and a growing body of research has investigated the possible geographic and contextual factors that contribute to asthma prevalence. However, few studies have incorporated geographic and environmental variables into their designs, despite evidence that geography is associated with asthma exacerbation. Additionally, studies of asthma exacerbations among adults are limited. The situation regarding asthma is particularly concerning in North Central Texas (NCT) compared to the national context. In light of this, we analyzed the geographic variation of approximately 12,000 adult patients hospitalized for asthma in the North Central Texas Region, and their association with built environmental features such as land use types, dwelling characteristics, exposure to traffic parameters at the Census Block Group (CBG) level, and pollutant concentrations in the relevant counties for the year 2014. We applied the Hierarchical Linear Model (HLM), and our analysis indicates that there are significant health disparities in the region. We found that the adult asthma hospitalization rate is significantly higher in low-income, low-education neighborhoods with a significant Black population. Furthermore, factors such as increased travel distance to work and substandard dwelling conditions have been found to trigger an increase in hospital visits for asthma patients. Conversely, the presence of greenspace in the surrounding area has been found to help reduce the frequency of asthma-related hospital visits. It is worth noting that both indoor and outdoor environmental quality contribute to adult asthma hospitalizations. Overall, our study highlights the importance of considering geographic and environmental factors in understanding the prevalence and exacerbation of asthma. Our findings suggest that targeted interventions, such as improving indoor and outdoor environmental quality and increasing access to greenspace, may help reduce the burden of asthma in high-risk communities.
Exploring and modelling the hydro-morphological landscape of a Himalayan basin: a geospatial study of Nandakini Basin in Uttarakhand, India
Authors: Ganie Parvaiz Ahmad , Posti Ravindra , Pandey Pramod Kumar
Published: July 2024

This study comprehensively examines the hydro-morphological, topo-hydrological, and physiographic features of the Nandakini catchment in the north-western Himalayas. In the absence of extensive hydrological data, employing morphometric parameters proves to be a crucial and efficient approach for delineating geological structures and assessing hydrodynamic activity in the river basin. Utilizing SRTM DEM, SOI toposheets, and GIS, the study identified twenty watersheds within the catchment, estimating its total area at 540.98 km2. The analysis revealed a 6th-order catchment with a primarily sub-dendritic to dendritic drainage pattern, susceptible to flooding and gully erosion from slow surface runoff. The elongated shape and compactness coefficient indicated delayed peak runoff. Coarse drainage texture and high relief ratio suggested increased vulnerability to erosion. Physiographic indices indicated a later youth stage of basin development, while topo-hydrological indices highlighted significant topographic and spatial variability in water availability, emphasizing erosion potential. This study provides valuable insights for developing sustainable catchment management plans and informing decision-making in water resources management for the Nandakini catchment.
Assessing adherence to plant-rich dietary patterns using metabolic signatures of plant food metabolites
Authors: Li Y. , Xu Y. , Le Sayec M. , Spector T. D , Menni C. , Gibson R. , Rodriguez-Mateos A.
Published: July 2024

Diet is an important modifiable lifestyle factor for human health, and plant-rich dietary patterns are associated with lower risk of non-communicable diseases in numerous studies. However, objective assessment of plant-rich dietary exposure in nutritional epidemiology studies remains challenging. This study aimed to develop and evaluate metabolic signatures of the most widely used plant-rich dietary patterns using a targeted metabolomics method comprising of 108 plant food metabolites.

A total of 218 healthy participants from the POLYNTAKE cohort were included, aged 51.5 ± 17.7 years, with 24h urine samples measured using ultra-high-performance liquid chromatography–mass spectrometry. The validation dataset employed three sample types to test the robustness of the signature, including 24h urine (ABP cohort, n = 88), plasma (POLYNTAKE cohort, n = 195), and spot urine (TwinsUK cohort, n = 198). Adherence to the plant-rich diet was assessed using a priori plant- rich dietary patterns. A combination of metabolites that evaluates the adherence and metabolic response to a specific diet was identified as metabolic signature. We applied linear regression analysis to select the metabolites significantly associated with dietary patterns (adjusting energy intake), and ridge regression to estimate penalized weights of each candidate metabolite. The correlation between metabolic signature and the dietary pattern was assessed by Spearman analysis (FDR < 0.05).

The metabolic signatures consisting of 42, 22, 35, 15, 33, and 33 predictive metabolites across different subclasses were found to be associated with adherence to Amended Mediterranean Score (A-MED), Original MED (O-MED), Dietary Approaches to Stop Hypertension (DASH), Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND), healthy Plant-based Diet Index (hPDI) and unhealthy PDI (uDPI), respectively. The overlapping and distinct predictive metabolites across six dietary patterns predominantly consisted of phenolic acids (n = 38), including 14 cinnamic acids, 14 hydroxybenzoic acids, seven phenylacetic acids, and three hippuric acids. Six metabolites were included in all signatures, including two lignans: enterolactone-glucuronide, enterolactone-sulfate, and four phenolic acids: cinnamic acid, cinnamic acid-4'-sulfate, 2'- hydroxycinnamic acid, and 4-methoxybenzoic acid-3-sulfate. The established signatures were robustly correlated with dietary patterns in validation dataset (r = 0.13 - 0.40, FDR < 0.05).

We developed and evaluated a set of metabolic signatures that robustly reflected the adherence and metabolic response to plant-rich dietary patterns, suggesting the potential of these signatures to serve as an objective assessment of free-living eating habits.
Dietitians’ perspectives on clinical pathways and practice in relation to the dietary management of irritable bowel syndrome in the UK: A qualitative study
Authors: Belogianni K. , Khandige P. , Silverio S. , Windgassen S. , Moss-Morris R. , Lomer M.C.E
Published: July 2024

Irritable bowel syndrome (IBS) is a chronic and relapsing gastrointestinal condition which negatively impacts quality of life(1). Dietary triggers are common and dietary management is central to the IBS treatment pathway with dietitians being the main education providers for patients(2). The aim of this study was to explore the perceptions of dietitians towards current practices in IBS services in clinical settings across the UK.

Qualitative semi-structured interviews were undertaken to explore current practices, barriers, and facilitators to dietetic practice and expected treatment outcomes. Eligible participants were dietitians specialising in IBS and working in the National Health System (NHS) in the UK. Interviews were held virtually. Audio was recorded and transcribed following intelligent transcription. Data were analysed using template analysis (3).

Thirteen dietitians (n=12 female) specialising in gastroenterology consented to participate in the study. Dietitians were working in various NHS Trusts across the country (Southeast England n=3; Southwest England n=3; Northwest England n=2; Northeast England n=1; West Midlands n=1; Southwest Wales n=1 and Southcentral Scotland n=2). Ten out of 13 dietitians had more than five years of experience in IBS management. Three main themes emerged: 1) Dietetic services as part of IBS referral pathways; 2) Practices in relation to dietetic services and 3) Implications of services on patients’ expectations and feelings. Each main theme had subthemes to facilitate the description and interpretation of data. The increasing number of IBS referrals to dietitians and the need for accurate and timely IBS diagnosis and specialist IBS dietitians was reported, alongside the use of digital innovation to facilitate practice and access to dietetic care. The use of Internet as a source of (mis)information by patients and the limited time available for educating patients were identified as potential barriers to dietetic practice. Dietitians follow a patient-centred approach to dietary counselling and recognise the negative implications of perceived IBS-related stigma by patients on their feelings and treatment expectations.

The study identified areas and practices which can facilitate access to dietetic services and patient- centred care in IBS management as outlined in guidelines (4).
Characterising dietary protein intake in Irish adults on the island of Ireland
Authors: Griffin H. , Nugent A.P , McNulty B. A , Wright D. , Brennan L.
Published: July 2024

Shifting dietary protein intakes from animal to plant-based sources is suggested as a path to sustain the world’s food consumption and maintain planetary resources (1). However, to facilitate change, it is important to characterise baseline dietary protein patterns. This study aimed to examine dietary protein intakes on the island of Ireland in order to determine population characteristics and food sources influencing protein intake.

Analyses were performed on the Northern Ireland sub cohort of the UK National Dietary Nutrition Survey (NDNS 2016-2019) (2) and the Irish National Adult Nutrition Survey (2008-2010) (3). Both surveys used a four-day food diary and a final sample of 1484 adults, aged 18-64 years was extracted (NANS; n =1274 and NI NDNS; n=210). Mean daily intakes for protein (MDI; % total energy, TE) for the total population were calculated and the population was divided into three tertile groups based on low, medium and high protein intake (%TE). Differences in population characteristics, energy MDI, key nutrients (%TE or per 10MJ) and contributing food sources were examined across these tertiles, using chi-square and one-way ANOVA with covariates (age and BMI) and correcting for multiple comparisons as appropriate (P<0.005).

Overall, 17.1% of TE was obtained from protein and 77% of participants met their protein DRV based on EFSA recommendations of 0.83g/kg/body weight (4). The difference in protein intakes between the highest and lowest tertiles was 7.8% TE (21.2 % TE vs 13.4% TE) with high protein consumers reporting lower energy intakes (1734 ± 564kcal) compared to low consumers (2185 ± 661 kcal). High protein consumers were older (42.5 ± 12.8 years) and had a higher BMI (27.7 ± 6.0 kg/m2). They also had higher MDI of dietary fibre, calcium, zinc, sodium, iron, folate and vitamins A, C, D and B12 (per 10MJ) (p<0.001) and lower MDI of carbohydrates, fat, saturated fat (%TE) in comparison to low consumers (p<0.001). The % contribution of ‘chicken, turkey and dishes’ (18.3%), ‘beef, veal and dishes’ (12.8%) and ‘fish and fish products (7.0%) to protein intakes were significantly higher in the high versus the low consumption group (10%, 7.4%, 4.4% TE respectively; P<0.001). In contrast, those in the lowest protein intake group had a significantly higher intakes of protein coming from dietary sources including ‘burgers, sausages and meat products (9.9 vs 5.9%), ‘white bread and rolls’ (6.9 vs 3.9%), ‘potatoes (including chips)’ (4.1 vs 2.9 %) and ‘cakes, pastries, buns and fruit pies’ (1.7 vs 0.8%) compared to high consumers.

In general, animal protein sources contributed more to total daily protein intakes than plant sources, however, the pattern of protein foods differed according to level of protein intake. These findings will aid in the development of strategies to diversify protein intakes on the Island of Ireland.
Effect of vitamin D2 supplementation on 25-hydroxyvitamin D3 status: a systematic review and meta-analysis of randomised controlled trials
Authors: Brown E.I.G. , Darling A.L. , Robertson T.M. , Hart K.H. , Lanham-New S.A. , Elliott R.M. , Warren M.J.
Published: July 2024

There are known differences in biological functionality between vitamin D2 and D3. It is suspected from randomised control trial (RCT) data that vitamin D2 supplementation causes a reduction in serum 25-hydroxyvitamin D3 (25(OH)D3) concentrations (1), but the size of the effect has yet to be fully assessed across multiple studies. The aim of this study was to undertake a systematic review and meta-analysis of the effect of vitamin D2 supplementation on serum 25(OH)D3 concentrations.

PUBMED was searched for publications from 1st January 1975 to 1st February 2023. Of the 182 papers retrieved, 29 were included in the systematic review, and of those, 18 were suitable for meta-analysis.

The meta-analysis found significant reductions in serum D3 after vitamin D2 supplementation compared with control, for both end of trial between groups data (weighted mean difference (WMD) (random) = −13.51 nmol/L; 95% CI: −20.14, −6.89; P < 0.0001) and absolute change over the trial (WMD (random) = −9.25 nmol/L; 95% CI: −14.40, −4.10; P = 0.0004). Similar results were found when D2 supplementation was compared to D3 supplementation, although as expected, the magnitude of the difference was larger, with WMD (random) = −46.20 nmol/L (95% CI: −60.80, −31.60; P < 0.00001) for end of trial data, and WMD (random) = −56.23 nmol/L (95% CI: -69.17, −43.28; P < 0.00001) for absolute change.

Overall, we found that vitamin D2 supplementation produces significant reductions in serum 25(OH)D3 concentrations, when compared to either control or vitamin D3 supplementation. An inverse relationship between vitamin D2 and D3 concentrations has been proposed in the literature (2). A regulatory mechanism that disposes of 25(OH)D after an increase in vitamin D concentrations could explain our results (3). Moreover, supplementation with vitamins D2 and D3 has differential effects on gene expression (4). However, longer-term research is needed to establish whether clinical advice should recommend vitamin D3 supplements over vitamin D2 supplements, where appropriate.
Towards a model of playful music learning for primary classrooms: recommendations based on a review of literature
Authors: Byrne Rachael , Murphy Regina , Ward Francis , McCabe Una
Published: July 2024

Playful practices have been linked to increased motivation, engagement, learning and skill development. However, limited research has explored what playful music learning might look like for primary schools, and how teachers might incorporate a range of playful music practices within their classrooms. Our conceptual model for playful music learning amalgamates and builds upon previous philosophy, theory and research in the education and music education spheres. In doing so, it extends musical play across a continuum of ownership as has been proposed by Zosh et al. (2017) in the realm of playful learning more generally. Playful elements associated with the work of music education pedagogues Kodály and Kokas and other researchers in the field are outlined. Examples of musical games-play and guided musical play for primary classrooms are illustrated, and some recommendations are provided to support teachers in facilitating increasingly playful music learning.
Sleep as a driver of pre- and postnatal brain development
Authors: de Groot Eline R. , Dudink Jeroen , Austin Topun
Published: July 2024

In 1966, Howard Roffwarg proposed the ontogenic sleep hypothesis, relating neural plasticity and development to rapid eye movement (REM) sleep, a hypothesis that current fetal and neonatal sleep research is still exploring. Recently, technological advances have enabled researchers to automatically quantify neonatal sleep architecture, which has caused a resurgence of research in this field as attempts are made to further elucidate the important role of sleep in pre- and postnatal brain development. This article will review our current understanding of the role of sleep as a driver of brain development and identify possible areas for future research.

Impact

The evidence to date suggests that Roffwarg’s ontogenesis hypothesis of sleep and brain development is correct.

A better understanding of the relationship between sleep and the development of functional connectivity is needed.

Reliable, non-invasive tools to assess sleep in the NICU and at home need to be tested in a real-world environment and the best way to promote healthy sleep needs to be understood before clinical trials promoting and optimizing sleep quality in neonates could be undertaken.
G protein-coupled receptor kinases in hypertension: physiology, pathogenesis, and therapeutic targets
Authors: Zhang Fuwei , Armando Ines , Jose Pedro A. , Zeng Chunyu , Yang Jian
Published: July 2024

G protein-coupled receptors (GPCRs) mediate cellular responses to a myriad of hormones and neurotransmitters that play vital roles in the regulation of physiological processes such as blood pressure. In organs such as the artery and kidney, hormones or neurotransmitters, such as angiotensin II (Ang II), dopamine, epinephrine, and norepinephrine exert their functions via their receptors, with the ultimate effect of keeping normal vascular reactivity, normal body sodium, and normal blood pressure. GPCR kinases (GRKs) exert their biological functions, by mediating the regulation of agonist-occupied GPCRs, non-GPCRs, or non-receptor substrates. In particular, increasing number of studies show that aberrant expression and activity of GRKs in the cardiovascular system and kidney inhibit or stimulate GPCRs (e.g., dopamine receptors, Ang II receptors, and α- and β-adrenergic receptors), resulting in hypertension. Current studies focus on the effect of selective GRK inhibitors in cardiovascular diseases, including hypertension. Moreover, genetic studies show that GRK gene variants are associated with essential hypertension, blood pressure response to antihypertensive medicines, and adverse cardiovascular outcomes of antihypertensive treatment. In this review, we present a comprehensive overview of GRK-mediated regulation of blood pressure, role of GRKs in the pathogenesis of hypertension, and highlight potential strategies for the treatment of hypertension.
Comparative analysis of F-18 FDG PET/CT images between scrub typhus and systemic lupus erythematosus
Authors: Han Yeon-Hee , Hwang Joo-Hee , Choi Yunjung , Lee Chang-Seop
Published: July 2024

This study evaluated the use of F-18 fluorodeoxyglucose (FDG) PET/CT imaging to differentiate between scrub typhus and systemic lupus erythematosus (SLE) in patients presenting with lymphadenopathy. We carried out a retrospective analysis of 18 scrub typhus patients and seven SLE patients, using various imaging parameters, including lymph node size, spleen and liver lengths, the distance between the two farthest lesions (Dmax), and assessments of glucose metabolism. On FDG PET images, we measured the maximum standardized uptake value (SUVmax) of the lymph nodes, spleen, and liver and the mean standardized uptake value (SUVmean) of the liver and spleen. The Dmax values of scrub typhus patients were significantly longer than those of SLE patients, indicating that lymphadenopathy is more generalized in the patients with scrub typhus. The SUVmax values for the lymph node, spleen, and liver were also higher in patients with scrub typhus, while the SUVmean of the liver and spleen did not differ between the two groups. This study is the first to compare FDG PET/CT images between these two conditions, suggesting the potential of this imaging modality to provide critical diagnostic distinctions.
Dynamic examination of closed cylindrical shells utilizing the differential transform method
Authors: Khosravi Amir Esmaeel , Shahabian Farzad , Aftabi Sani Ahmad
Published: July 2024

This article presents an innovative approach using the Differential Transform Method (DTM) to analyze the vibration characteristics of cylindrical shells, integrating Taylor's series with Sander's classical theory. It demonstrates DTM's efficiency, accuracy, and potential as an alternative method. The study introduces a novel application of the DTM in exploring the free vibration of cylindrical shells, detailing a technique to address challenges such as normalization, linear solution methodologies, and parameter derivative modifications. A dimensionless parameter analysis evaluates the impact of length, radius, thickness, and modulus of elasticity. Comparative analysis with Hybrid Finite Element Method (FEM) data and validation against existing literature highlights DTM's precision and reliability. In conclusion, DTM offers a robust solution for the eigenvalue problem in coupled differential equations, providing accurate vibration parameters. Additionally, an important relationship between the modulus of elasticity and frequency in the dimensionless state was obtained.
Data-driven prediction on critical mechanical properties of engineered cementitious composites based on machine learning
Authors: Qing Shuangquan , Li Chuanxi
Published: July 2024

The present study introduces a novel approach utilizing machine learning techniques to predict the crucial mechanical properties of engineered cementitious composites (ECCs), spanning from typical to exceptionally high strength levels. These properties, including compressive strength, flexural strength, tensile strength, and tensile strain capacity, can not only be predicted but also precisely estimated. The investigation encompassed a meticulous compilation and examination of 1532 datasets sourced from pertinent research. Four machine learning algorithms, linear regression (LR), K nearest neighbors (KNN), random forest (RF), and extreme gradient boosting (XGB), were used to establish the prediction model of ECC mechanical properties and determine the optimal model. The optimal model was utilized to employ SHapley Additive exPlanations (SHAP) for scrutinizing feature importance and conducting an in-depth parametric analysis. Subsequently, a comprehensive control strategy was devised for ECC mechanical properties. This strategy can provide actionable guidance for ECC design, equipping engineers and professionals in civil engineering and material science to make informed decisions throughout their design endeavors. The results show that the RF model demonstrated the highest prediction accuracy for compressive strength and flexural strength, with R2 values of 0.92 and 0.91 on the test set. The XGB model outperformed in predicting tensile strength and tensile strain capacity, with R2 values of 0.87 and 0.80 on the test set, respectively. The prediction of tensile strain capacity was the least accurate. Meanwhile, the MAE of the tensile strain capacity was a mere 0.84%, smaller than the variability (1.77%) of the test results in previous research. Compressive strength and tensile strength demonstrated high sensitivity to variations in both water-cement ratio (W) and water reducer (WR). In contrast, flexural strength exhibited high sensitivity solely to changes in W. Conversely, the sensitivity of tensile strain capacity to input features was moderate and consistent. The mechanical attributes of ECC emerged from the combined effects of multiple positive and negative features. Notably, WR exerted the most significant influence on compressive strength among all features, whereas polyethylene (PE) fiber emerged as the primary driver affecting flexural strength, tensile strength, and tensile strain capacity.
Biparatopic anti-PCSK9 antibody enhances the LDL-uptake in HepG2 cells
Authors: Li Xinyang , Zhang Wei , Shu Yu , Huo Rui , Zheng Chengyang , Qi Qi , Fu Pengfei , Sun Jie , Wang Yuhuan , Wang Yan , Lu Juxu , Zhao Xiangjie , Yin Guoyou , Wang Qingqing , Hong Jun
Published: July 2024

Proprotein convertase subtilisin/kexin type 9 (PCSK9) has emerged as a promising therapeutic target to reduce lipids. In 2020, we reported a chimeric camelid-human heavy chain antibody VHH-B11-Fc targeting PCSK9. Recently, it was verified that VHH-B11 binds one linear epitope in the PCSK9 hinge region. To enhance its druggability, we have developed a novel biparatopic B11-H2-Fc Ab herein. Thereinto, surface plasmon resonance (SPR) confirmed the epitope differences in binding-PCSK9 among VHH-B11, VHH-H2 and the approved Repatha. Additionally, SPR revealed the B11-H2-Fc exhibits an avidity of approximately 0.036 nM for PCSK9, representing a considerable increase compared to VHH-B11-Fc (~ 0.69 nM). Moreover, we found the Repatha and B11-H2-Fc exhibited > 95% PCSK9 inhibition efficiency compared to approximately 48% for the VHH-Fc at 7.4 nM (P < 0.0005). Further, we verified its biological activity using the human hepatoma cells G2 model, where the B11-H2-Fc exhibited almost 100% efficiency in PCSK9 inhibition at only 0.75 μM. The immunoblotting results of low-density lipoprotein cholesterol (LDL-c) uptake assay also demonstrated the excellent performance of B11-H2-Fc on recovering the LDL-c receptor (LDLR), as strong as the Repatha (P > 0.05). These findings provide the first evidence of the efficacy of a novel Ab targeting PCSK9 in the field of lipid-lowering drugs.
Risk factors and predictive models for frozen shoulder
Authors: Sun Guanjun , Li Qingshan , Yin Yi , Fu Weili , He Ke , Pen Xu
Published: July 2024

This study aims to explore the risk factors associated with frozen shoulder (FS) and develop a predictive model for diagnosing FS, in order to facilitate early detection of the condition. A total of 103 patients diagnosed with FS and admitted to the Department of Joint Surgery at Suining Central Hospital between October 2021 and October 2023 were consecutively included in the study. Additionally, 309 individuals without shoulder joint diseases, matched for age and gender, who visited the department during the same time, were included as the control group.The complete recording of clinical data for all patients was followed by the utilization of statistical tests such as the Mann–Whitney U test, sample t test, and chi-square test to compare different groups. Additionally, multivariate binary logistic regression analysis was employed to identify risk factors associated with the occurrence of FS in patients, leading to the establishment of a prediction model and derivation of a simplified equation. The diagnostic effectiveness of individual indicators and prediction models was assessed through the use of receiver operating characteristic (ROC) curve analysis. In the sample of 103 individuals, 35 were identified as male and 68 as female, with an average age range of 40–70 years (mean age: 54.20 ± 6.82 years). The analysis conducted between different groups revealed that individuals with a low body mass index (BMI), in conjunction with other factors such as diabetes, cervical spondylosis, atherosclerosis, and hyperlipidemia, were more susceptible to developing FS. Logistic regression analysis further indicated that low BMI, diabetes, cervical spondylosis, and hyperlipidemia were significant risk factors for the occurrence of FS. These variables were subsequently incorporated into a predictive model, resulting in the creation of a simplified equation.The ROC curve demonstrated that the combined indicators in the predictive model exhibited superior diagnostic efficacy compared to single indicators, as evidenced by an area under the curve of 0.787, sensitivity of 62.1%, and specificity of 82.2%. Low BMI, diabetes, cervical spondylosis, and hyperlipidemia are significant risk factors associated with the occurrence of FS. Moreover, the utilization of a prediction model has demonstrated superior capability in forecasting the likelihood of FS compared to relying solely on individual indicators. This finding holds potential in offering valuable insights for the early diagnosis of FS.
Ligand exchange induced crystal structure and morphology evolution of copper–tin–sulfur binary and ternary compounds
Authors: Chen Suqin , Xu Ying , Weng Yangyang , Lou Pengfei , Zhang Xiaoyan , Bao Ningzhong
Published: July 2024

Crystal structure and morphology evolution from Cu1.94S/Cu4SnS4 to Cu7S4/Cu3SnS4 has been observed via a ligand exchange process.
Anti-bacterial, anti-biofilm and synergistic effects of phenazine-based ruthenium(ii) complexes
Authors: Martins Patrícia H. R. , Romo Adolfo I. B. , Gouveia Jr. Florêncio S. , Paz Iury A. , Nascimento Nilberto R. F. , Andrade Alexandre L. , Rodríguez-López Joaquín , de Vasconcelos Mayron A. , Teixeira Edson Holanda , Moraes Carlos André Ferreira , Lopes Luiz G. F. , Sousa Eduardo Henrique Silva de
Published: July 2024

A ruthenium complex with DNA-binding capacity and a nitrosyl ligand showed strong antimicrobial activities including anti-biofilm and synergistic effects with antibiotics.
Strategic design and development of a siderophore mimic: pioneering anticancer therapy via ROS generation and ferroptosis
Authors: Panwar Abhishek , Lye Anushree , Musib Dulal , Upadhyay Aarti , Karankumar Irungbam , Devi Paonam Bebika , Pal Maynak , Maity Biswanath , Roy Mithun
Published: July 2024

The article reports a remarkable anticancer activity through iron(iii) chelation and ferroptosis by a newly developed catecholate-based siderophore mimic.
High photocatalytic yield in the non-oxidative coupling of methane using a Pd–TiO2 nanomembrane gas flow-through reactor
Authors: Longo Victor , De Pasquale Luana , Tavella Francesco , Barawi Mariam , Gomez-Mendoza Miguel , de la Peña O’Shea Víctor , Ampelli Claudio , Perathoner Siglinda , Centi Gabriele , Genovese Chiara
Published: July 2024

Ultrafine Pd nanoclusters were deposited on TiO2 to achieve high efficiency in gas flow-through non-oxidative photo-catalytic methane coupling.
Tetrahydrocannabinol (THC)-modified screen-printed carbon electrodes (SPCEs): insights into stability
Authors: Grewal Rehmat , Ortega Greter A. , Viltres Herlys , Srinivasan Seshasai , Rajabzadeh Amin Reza
Published: July 2024

Stability of THCi-based sensors to detect ultra-low concentrations of THC by controlling the principal factors contributing to THC oxidation: temperature, humidity, airflow, and light, to extend the shelf-life and improve electrochemical signals.
Silylene acetals from cheap reagents: synthesis and regioselective opening
Authors: Zimmermann Morten Lang , Feldballe Daniel Marquard , Pedersen Christian Marcus
Published: July 2024

In this communication, a practical method for using cheap and easily available silylene chlorides for diol protection is presented. The obtained silylene acetals can be opened to silyl ethers using Grignard reagents.
Chemoselective one-pot cleavage and oxidation of silyl ethers to corresponding carbonyl compounds using IBX and acid catalysts
Authors: Kamo Shogo , Hori Kazuki , Sugita Kazuyuki
Published: July 2024

The chemoselective one-pot cleavage and oxidation of alkyl silyl ethers using TsOH·H2O and IBX in DMSOafforded the corresponding carbonyl compounds in 46–94% yields, in the presence of aryl TBS and MOMethers, as well as N-Boc and acetonide groups.
Copper-catalyzed asymmetric 1,2-arylboration of enamines: access to chiral borate-containing 3,3′-disubstituted isoindolinones
Authors: Xie Jia-Qi , Wang Bing-Xia , Liang Ren-Xiao , Jia Yi-Xia
Published: July 2024

An enantioselective Cu-catalyzed 1,2-arylboration reaction of N-(o-iodobenzoyl)enamines with bis(pinacolato)diboron (B2pin2) is developed to access chiral borate-containing 3,3′-disubstituted isoindolinones.
Trifunctionalization of CC bonds in vinyl azides to access densely functionalized phenanthridines enabled by the NCS/AgNO2 system
Authors: Ren Shaobo , Zhu Jian , Liu Yunkui
Published: July 2024

The NCS/AgNO2 system enables an unprecedented trifunctionalization of CC bonds in vinyl azides to access densely functionalized phenanthridines in a one-pot manner.
A reinforcement learning method for two‐layer shipboard real‐time energy management considering battery state estimation
Authors: Zhang Huayue , Wen Shuli , Gu Mingchang , Zhu Miao , Ye Huili
Published: July 2024

Increasing global environmental concerns encourage a continuous reduction in carbon emissions from the shipping industry. It has become an irreversible trend to replace traditional fossil fuels with advanced energy storage technology. However, an improper energy management leads to not only energy waste but also undesired costs and emissions. Accordingly, the authors develop a two‐layer shipboard energy management framework. In the initial stage, a shipboard navigation planning problem is formulated that considers battery state estimation and is subsequently solved using particle swarm optimisation to obtain an optimal speed trajectory. To track the scheduled speed, a reinforcement learning method based on a deep Q‐Network is proposed in the second stage to realise real‐time energy management of the diesel generator and energy storage system. This approach ensures that the state of charge remains within a safe range and that the performance is improved, avoiding excessive discharge from the energy storage systems and further enhancing the efficiency. The numerical results demonstrate the necessity and effectiveness of the proposed method.
A search for Galactic post-asymptotic giant branch stars in Gaia DR3
Authors: González-Santamaría I. , Manteiga M. , Manchado A. , Villaver E. , Ulla A. , Dafonte C.
Published: July 2024

Context. When low- and intermediate-mass stars leave the asymptotic giant branch (AGB) phase, and before they reach the planetary nebula stage, they enter a very brief and rather puzzling stellar evolutionary stage called post-AGB stage. The post-AGB phase lasts very briefly, about a few thousand years at most. The number of objects that are confirmed in this phase therefore is really small, and our understanding of this elusive stellar evolutionary stage is accordingly very limited.

Aims. We provide a reliable catalogue of Galactic post-AGB stars together with their physical and evolutionary properties obtained through Gaia DR3 astrometry and photometry. As an added product, we provide information for a sample of other types of stellar objects, whose observational properties mimic those of post-AGB stars.

Methods. Post-AGB stars are characterised by their infrared excesses and high luminosities. The publication of precise parallaxes in Gaia DR3 made it possible to calculate accurate distances and to revise the derivation of luminosities for post-AGB candidates, so that objects outside the expected luminosity range can be discarded. We started by identifying post-AGB stars or possible candidates from the bibliography, and we then searched for their Gaia DR3 counterpart sources. Using the available photometry, interstellar extinction, spectroscopically derived temperatures or spectral types and parallax-derived distances from the literature, we fitted their spectral energy distributions and estimated their luminosities and circumstellar extinctions. By a comparison to models, the luminosity values allowed us to determine which objects are likely post-AGB stars from other target types. Their position in the Hertzsprung-Russell diagram allows a direct comparison with updated post-AGB evolutionary tracks and an estimation of their masses and evolutionary ages.

Results. We obtained a sample of 69 reliable post-AGB candidates that meet our classification criteria, which provide their coordinates, distances, effective temperature, interstellar and circumstellar extinction, luminosity, mass, and evolutionary age. In addition, we provide similar data for other stellar objects in our initial compilation, such as supergiant stars and young stellar objects. Our identifications and parameters are compared with others found in the recent literature for the subject.

Conclusions. We selected the data with the best precision in parallax and distance to obtain more accurate luminosities, which allowed us to confidently classify the objects of the sample in different stellar phases. In turn, this allowed us to provide a small but reliable sample of post-AGB objects. The derived mean evolutionary time and average mass values agree with theoretical expectations and with the mean mass value obtained in a previous work for the subsequent evolutionary stage, the planetary nebula stage.
Magnetic field and kinetic helicity evolution in simulations of interacting disk galaxies
Authors: Selg S. , Schmidt W.
Published: July 2024

Context. There are indications that the magnetic field evolution in galaxies is influenced by tidal interactions and mergers between galaxies.

Aims. We carried out a parameter study of interacting disk galaxies with impact parameters ranging from central collisions to weakly interacting scenarios. The orientations of the disks were also varied. In particular, we investigated how magnetic field amplification depends on these parameters.

Methods. We used magnetohydrodynamics for gas disks in combination with live dark-matter halos in adaptive mesh refinement simulations. The disks were initialized using a setup for isolated disks in hydrostatic equilibrium. Since we focused on the impact of tidal forces on magnetic field evolution, adiabatic physics was applied. Small-scale filtering of the velocity and magnetic field allowed us to estimate the turbulent electromotive force (EMF) and kinetic helicity.

Results. Time series of the average magnetic field in central and outer disk regions show pronounced peaks during close encounters and mergers. This agrees with observed magnetic fields at different interaction stages. The central field strength exceeds 10 μG (corresponding to an amplification factor of 2–3) for small impact parameters. As the disks are increasingly disrupted and turbulence is produced by tidal forces, the small-scale EMF reaches a significant fraction of the total EMF. The small-scale kinetic helicity is initially antisymmetric across the disk plane. Though its evolution is sensitive to both the impact parameter and inclinations of the rotation axes with respect to the relative motion of the disks, antisymmetry is generally broken through interactions and the merger remnant loses most of the initial helicity. The EMF and the magnetic field also decay rapidly after coalescence.

Conclusions. The strong amplification during close encounters of the interacting galaxies is mostly driven by helical flows and a mean-field dynamo. The small-scale dynamo contributes significantly in post-interaction phases. However, the amplification of the magnetic field cannot be sustained.
RETRACTED: Improving the methodology for monitoring vegetation cover based on type segmentation
Authors: Polevschvhikova Iuliia , Svoikin Fedor , Bozhbov Vladimir , Borozna Anatoly , Taraban Maria , Sitnikov Sergey , Kaigorodova Vera
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Laser monitoring of stress conditions of plants
Authors: Ernazarov Shamsiddin , Mukhamedov Abdushukur , Isayev Fazliddin
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Theoretical justification of the parameters of the improved transport corridor of the cotton harvester apparatus
Authors: Yakubov Khushnud , Ravutov Shavkat , Atakhanov Islam , Radjabov Rashid
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Integument morphology of assassin bugs of the genus Platymeris
Authors: Shakirov Seraphim , Mkrtchan Manya , Grinyuk Ekaterina , Taimusova Elmira , Kaidalova Olga
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Structura of ripe seed of wild diploid representatives of Gossypium L.
Authors: Tutushkina N.V.
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: The main indicators of body thickness, branch growth of intensive apple trees
Authors: Yunusov Rustam , Mavlonov Zavqiddin
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Dependence of varieties, plant thickness and resource-saving technology small apples productivity
Authors: Yunusov Rustam , Ganiyeva Feruza
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Development of a lyophilized preparation enriched with hepatocyte growth factor
Authors: Inozemcev P.O. , Grigoriev G.E. , Lepekhova S.A.
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Economic assessment of ecological damage to surface waters as a result of emergency situation
Authors: Kligunov E.S.
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: An ontological approach to the methodology of vintage analysis in the diagnosis of sustainable development of the region
Authors: Mushketova Natalia , Zudina Elena , Skiter Natalia , Boriskina Tatyana
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Predictive modelling of post-monsoon groundwater quality in Telangana using machine learning techniques
Authors: Olentsova Julia , Kukartsev Vladislav , Orlov Vasiliy , Semenova Evgenia , Pinchuk Ivan
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Environmental factors of sustainable development in China and Hong Kong
Authors: Niyazbekova Shakizada , Shirinkina Elena , Varzin Vasiliy , Berstembayeva Rysty
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001