bluuebunny/crossref_metadata_2025_split huggingface dataset:
Decreased β-cell volume and insulin secretion but preserved glucose tolerance in a growth hormone insensitive pig model
Authors: Laane Laeticia , Renner Simone , Kemter Elisabeth , Stirm Michael , Rathkolb Birgit , Blutke Andreas , Bidlingmaier Martin , de Angelis Martin Hrabĕ , Wolf Eckhard , Hinrichs Arne 
Published: July 2024

Abstract
Purpose
Growth hormone (GH) is a central regulator of β-cell proliferation, insulin secretion and sensitivity. Aim of this study was to investigate the effect of GH insensitivity on pancreatic β-cell histomorphology and consequences for metabolism in vivo.

Methods
Pancreata from pigs with growth hormone receptor deficiency (GHR-KO, n = 12) were analyzed by unbiased quantitative stereology in comparison to wild-type controls (WT, n = 12) at 3 and 7–8.5 months of age. In vivo secretion capacity for insulin and glucose tolerance were assessed by intravenous glucose tolerance tests (ivGTTs) in GHR-KO (n = 3) and WT (n = 3) pigs of the respective age groups.

Results
Unbiased quantitative stereological analyses revealed a significant reduction in total β-cell volume (83% and 73% reduction in young and adult GHR-KO vs. age-matched WT pigs; p < 0.0001) and volume density of β-cells in the pancreas of GHR-KO pigs (42% and 39% reduction in young and adult GHR-KO pigs; p = 0.0018). GHR-KO pigs displayed a significant, age-dependent increase in the proportion of isolated β-cells in the pancreas (28% in young and 97% in adult GHR-KO vs. age-matched WT pigs; p = 0.0009). Despite reduced insulin secretion in ivGTTs, GHR-KO pigs maintained normal glucose tolerance.

Conclusion
GH insensitivity in GHR-KO pigs leads to decreased β-cell volume and volume proportion of β-cells in the pancreas, causing a reduced insulin secretion capacity. The increased proportion of isolated β-cells in the pancreas of GHR-KO pigs highlights the dependency on GH stimulation for proper β-cell maturation. Preserved glucose tolerance accomplished with decreased insulin secretion indicates enhanced sensitivity for insulin in GH insensitivity.
Long-term effects of the COVID-19 pandemic for patients with cancer
Authors: Debie Yana , Palte Ziyad , Salman Haya , Verbruggen Lise , Vanhoutte Greetje , Chhajlani Siddharth , Raats Silke , Roelant Ella , Vandamme Timon , Peeters Marc , van Dam Peter A. 
Published: July 2024

Abstract
Introduction:
Long COVID is defined as the continuation of symptoms, unexplainable by alternative diagnosis, longer than four weeks after SARS-CoV-2 infection. These symptoms might hinder daily activities and overall well-being, ultimately impacting quality of life (QoL). Several studies have reported fatigue as the most common symptom, followed by dyspnoea, headache and myalgia. Although it is assumed that long COVID affects 10–20% of SARS-CoV-2 infected individuals, recently numbers up to 60% were described for patients with cancer. This study uncovers the impact of the COVID-19 pandemic on QoL of patients with cancer and how long COVID manifests in this cohort.

Methods:
A group of 96 patients with cancer was followed from March 2022 till March 2023. Online questionnaires assessing symptoms associated with long COVID, anxiety and depression (HADS), quality of life (EORTC-QLQ-C30) and cognitive functioning (CFQ) were sent every three months during this period. Furthermore, a semi-structured focus group was organised for qualitative data collection.

Results:
Overall, these patients reported a negative impact of the enforced COVID-19 restrictions on the emotional and psychological wellbeing. Forty nine patients with cancer (51.0%) were infected with SARS-CoV-2 over the course of the study, of which 39 (79.6%) reported long COVID symptoms. The most commonly reported symptoms were myalgia (46.2%), fatigue (38.5%) and disturbed sleep (35.9%) and it was observed that male sex is associated with poor long COVID outcomes.

Conclusion:
While patients with cancer experience similar long COVID symptoms as healthy controls, the prevalence is remarkably higher possibly due to their compromised immune system and weakened physiological reserve.
ABCNN-IDS: Attention-Based Convolutional Neural Network for Intrusion Detection in IoT Networks
Authors: Momand Asadullah , Jan Sana Ullah , Ramzan Naeem 
Published: July 2024

AbstractThis paper proposes an attention-based convolutional neural network (ABCNN) for intrusion detection in the Internet of Things (IoT). The proposed ABCNN employs an attention mechanism that aids in the learning process for low-instance classes. On the other hand, the Convolutional Neural Network (CNN) employed in the ABCNN framework converges toward the most important parameters and effectively detects malicious activities. Furthermore, the mutual information technique is employed during the pre-processing stage to filter out the most significant features from the datasets, thereby improving the effectiveness of the ABCN model. To assess the effectiveness of the ABCNN approach, we utilized the Edge-IoTset, IoTID20, ToN_IoT, and CIC-IDS2017 datasets. The performance of the proposed architecture was assessed using various evaluation metrics, such as precision, recall, F1-score, and accuracy. Additionally, the performance of the proposed model was compared to multiple ML and DL methods to evaluate its effectiveness. The proposed model exhibited impressive performance on all the utilized datasets, achieving an average accuracy of 99.81%. Furthermore, it demonstrated excellent scores for other evaluation metrics, including 98.02% precision, 98.18% recall, and 98.08% F1-score, which outperformed other ML and DL models.
Cannabis Use from Early Adolescence to the Mid-Twenties in Children of Immigrant and Nonimmigrant Parents: Findings from a Prospective Longitudinal Cohort Study
Authors: Steinhoff Annekatrin , Bechtiger Laura , Birchler Kurt , Ribeaud Denis , Eisner Manuel , Quednow Boris B. , Shanahan Lilly 
Published: July 2024

AbstractThis study compares the developmental course of cannabis use in adolescents with versus without an immigrant background. Data came from a Swiss prospective-longitudinal cohort study (n = 1445) with nine assessments between ages 7 and 24. Parents reported their immigration history; adolescents self-reported their past-year cannabis use five times between ages 13 (in 2011) and 24 years (in 2022). Latent growth curve models revealed a curvilinear increase in cannabis use, with a peak at age 20. Adolescents whose parents had immigrated showed a less steep increase in cannabis use during adolescence and a lower cumulative prevalence of cannabis use by age 24. Specific cultural and religious backgrounds were linked with lower odds of cannabis use. Interventions in early adolescence need to consider immigration, cultural, and religious backgrounds.
Teacher education for mathematical modelling: exploring the experiences of secondary school teachers in two courses
Authors: Barquero Berta , Ferrando Irene 
Published: July 2024

AbstractThis paper focuses on in-service teacher education as a crucial agent in driving educational paradigm shifts for the teaching and learning of mathematical modelling. Our paper presents empirical research based on two case studies, examining training courses for in-service secondary school mathematics teachers. The first course integrates different modelling approaches, while the second one is based on the anthropological theory of the didactic and uses the proposal of the study and research paths for teacher education. Both experiences conclude with teachers working on the design of modelling tasks to be implemented in secondary schools. Both courses are analysed through the lenses of how teachers progress on the collective identification of conditions and constraints for modelling, when teachers deal with the design of modelling tasks and analyse their implementations. First, the results show the kind of modelling tasks teachers design and the level of disciplinary specificity at which they plan modelling to be implemented. Second, we analyse how teachers address the “ecological analysis”, that is, the identification of conditions and constraints that facilitate or hinder the integration of modelling in secondary school classrooms after their experiences.
Molecular pathway of anticancer effect of next-generation HSP90 inhibitors XL-888 and Debio0932 in neuroblastoma cell line
Authors: Kaplan Özlem , Gökşen Tosun Nazan 
Published: July 2024

AbstractNeuroblastoma is a common nervous system tumor in childhood, and current treatments are not adequate. HSP90 is a molecular chaperone protein that plays a critical role in the regulation of cancer-related proteins. HSP90 inhibition may exert anticancer effects by targeting cancer-related processes such as tumor growth, cell proliferation, metastasis, and apoptosis. Therefore, HSP90 inhibition is a promising strategy in the treatment of various types of cancer, and the development of next-generation inhibitors could potentially lead to more effective and safer treatments. XL-888 and Debio0932 is a next-generation HSP90 inhibitor and can inhibit the correct folding and stabilization of client proteins that cancer-associated HSP90 helps to fold correctly. In this study, we aimed to investigate the comprehensive molecular pathways of the anticancer activity of XL-888 and Debio0932 in human neuroblastoma cells SH-SY5Y. The cytotoxic effects of XL-888 and Debio0932 on the neuroblastoma cell line SH-SY5Y cells were evaluated by MTT assay. Then, the effect of these HSP90 inhibitors on the expression of important genes in cancer was revealed by Quantitative Real Time Polymerase Chain Reaction (qRT-PCR) method. The qRT-PCR data were evaluated using Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) biological process tools. Finally, the effect of HSP90 inhibitors on HSP27, HSP70 and HSP90 protein expression was investigated by Western blotting analysis. The results revealed that XL-888 and Debio0932 had a role in regulating many cancer-related pathways such as migration, invasion, metastasis, angiogenesis, and apoptosis in SH-SY5Y cells. In conclusion, it shows that HSP90 inhibitors can be considered as a promising candidate in the treatment of neuroblastoma and resistance to chemotherapy.
Comparative responses of two maize genotypes with contrasting drought tolerance to biochar application
Authors: Ruan Renjie , Lambers Hans , Wang Yaosheng 
Published: July 2024

AbstractThe impact of biochar application on plant performance under drought stress necessitates a comprehensive understanding of biochar–soil interaction, root growth, and plant physiological processes. Therefore, pot experiments were conducted to assess the effects of biochar on plant responses to drought stress at the seedling stage. Two contrasting maize genotypes (drought-sensitive KN5585 vs. -tolerant Mo17) were subjected to biochar application under drought stress conditions. The results indicated that biochar application decreased soil exchangeable Na+ and Ca2+ contents while increased soil exchangeable K+ content (2.7-fold) and electrical conductivity (4.0-fold), resulting in an elevated leaf sap K+ concentration in both maize genotypes. The elevated K+ concentration with biochar application increased root apoplastic pH in the drought-sensitive KN5585, but not in the drought-tolerant Mo17, which stimulated the activation of H+-ATPase and H+ efflux in KN5585 roots. Apoplast alkalinization of the drought-sensitive KN5585 resulting from biochar application further inhibited root growth by 30.7%, contributing to an improvement in water potential, a reduction in levels of O2–, H2O2, T-AOC, SOD, and POD, as well as the down-regulation of genes associated with drought resistance in KN5585 roots. In contrast, biochar application increased leaf sap osmolality and provided osmotic protection for the drought-tolerant Mo17, which was associated with trehalose accumulation in Mo17 roots. Biochar application improved sucrose utilization and circadian rhythm of Mo17 roots, and increased fresh weight under drought stress. This study suggests that biochar application has the potential to enhance plant drought tolerance, which is achieved through the inhibition of root growth in sensitive plants and the enhancement of osmotic protection in tolerant plants, respectively.
Graphical Abstract
A Practical Approach to Tracking Estimation Using Object Trajectory Linearization
Authors: Yousefi Seyed Mohammad Mehdi , Mohseni Seyed Saleh , Dehbovid Hadi , Ghaderi Reza 
Published: July 2024

AbstractIn the field of image processing and machine vision, object tracking is a significant and rapidly developing subfield. The numerous potential applications of object tracking have garnered much attention in recent years. The effectiveness of tracking and detecting moving targets is directly related to the quality of motion detection algorithms. This paper presents a new method for estimating the tracking of objects by linearizing their trajectories. Estimating the movement paths of objects in dynamic and complex environments is one of the fundamental challenges in various fields, such as surveillance systems, autonomous navigation, and robotics. Existing methods, such as the Kalman filter and particle filter, each have their strengths and weaknesses. The Kalman filter is suitable for linear systems but less efficient in nonlinear systems, while the particle filter can better handle system nonlinearity but requires more computations. The main goal of this research is to improve the accuracy and efficiency of estimating the movement paths of objects by combining path linearization techniques with existing advanced methods. In this method, the nonlinear model of the object's path is first transformed into a simpler linear model using linearization techniques. The Kalman filter is then used to estimate the states of the linearized system. This approach simplifies the calculations while increasing the estimation accuracy. In the subsequent step, a particle filter-based method is employed to manage noise and sudden changes in the object's trajectory. This combination of two different methods allows leveraging the advantages of both, resulting in a more accurate and robust estimate. Experimental results show that the proposed method performs better than traditional methods, achieving higher accuracy in various conditions, including those with high noise and sudden changes in the movement path. Specifically, the proposed approach improves movement forecasting accuracy by about 12% compared to existing methods. In conclusion, this research demonstrates that object trajectory linearization can be an effective tool for improving object tracking estimation. Combining this technique with existing advanced methods can enhance the accuracy and efficiency of tracking systems. Consequently, the results of this research can be applied to the development of advanced surveillance systems, self-driving cars, and other applications.
Low glycaemic index diet in pregnancy and child asthma and eczema: follow-up of the ROLO trial
Authors: Callanan S. , Talaei M. , Delahunt A. , Shaheen S.O , McAuliffe F.M 
Published: July 2024

Atopic diseases, including asthma and eczema, represent a substantial public health problem in children and adolescents globally; asthma is the commonest chronic disorder of childhood(1). Research suggests that the origins of childhood asthma lie in utero, and several components of the maternal diet during pregnancy have been investigated in relation to atopic outcomes in children. Epidemiological evidence suggests that a higher intake of sugar during pregnancy is associated with a higher risk of childhood asthma and atopy(2,3). However, randomised trial evidence supporting such a link is lacking.Aims 1.To examine whether a low glycaemic index (GI) dietary intervention during pregnancy decreases the risk of asthma and eczema in childhood.2.To assess observationally whether maternal intake of sugar during pregnancy is positively associated with asthma and eczema in childhood.This is a secondary analysis of children from the ROLO trial. Healthy women were randomised to receive an intervention of low GI dietary advice or routine antenatal care from early pregnancy. All women completed a 3-day food diary in each trimester of pregnancy. Estimates of maternal intake of sugar in each trimester were averaged to provide mean intakes during pregnancy. Mothers reported current doctor-diagnosed eczema in their children at 2-years of age (n=271), and current doctor-diagnosed asthma and eczema in their children at 5 (n=357) and 9-11 years (n=391) of age. Multivariable logistic regression models were used a) to test the effect of the intervention on child outcomes overall, and stratified by maternal education level (with, versus without, a complete tertiary level education), and b), in observational analyses, to analyse the relation between sugar and carbohydrate intake in pregnancy and child outcomes.There was weak evidence overall for a reduction in asthma at 5-years of age in children whose mothers received the low GI dietary intervention during pregnancy compared to usual care [adjusted odds ratio (OR) 0.43 (95% CI 0.18, 1.03); P=0.06]. However, in stratified analyses the intervention was associated with a marked reduction in risk of asthma at 5-years of age in children born to mothers with lower educational attainment [adjusted OR 0.16 (0.03, 0.85); P=0.032]. Intake of sugar during pregnancy was positively associated with the development of asthma at any time point in childhood [adjusted OR per quartile of mean sugar intake 1.40 (0.99, 1.97), P-trend=0.048] and at 5-years of age [adjusted OR per quartile 1.55 (1.00, 2.40), P-trend=0.046]. No associations with eczema outcomes were found.This novel study provides stronger evidence that higher sugar intake during pregnancy is associated with an increased risk of asthma among offspring. An intervention to reduce sugar intake in pregnancy may have potential as a primary prevention strategy, particularly amongst children born to mothers with lower educational attainment.
The association between selenium status and cognitive decline in very old adults: The Newcastle 85+ Study
Authors: Perri G. , Mathers J. C , Martin-Ruiz C. , Parker C. , Demircan K. , Chillon T. S. , Schomburg L. , Robinson L. , Stevenson E. J , Terrera G. , Sniehotta F. F , Ritchie C. , Adamson A. , Burns A. , Minihane A.M , Shannon O. , Hill T.R 
Published: July 2024

The trace element selenium is known to protect against oxidative damage which is known to contribute to cognitive impairment with ageing (1,2). The aim of this study was to explore the association between selenium status (serum selenium and selenoprotein P (SELENOP)) and global cognitive performance at baseline and after 5 years in 85-year-olds living in the Northeast of England.Serum selenium and SELENOP concentrations were measured at baseline by total reflection X-ray fluorescence (TXRF) and enzyme-linked immunosorbent assay (ELISA), respectively, in 757 participants from the Newcastle 85+ study. Global cognitive performance was assessed using the Standardized Mini-Mental State Examination (SMMSE) where scores ≤25 out of 30 indicated cognitive impairment. Logistic regressions explored the associations between selenium status and global cognition at baseline. Linear mixed models explored associations between selenium status and global cognition prospectively after 5 years. Covariates included sex, body mass index, physical activity, high sensitivity C-reactive protein, alcohol intake, self-rated health, medications and smoking status.At baseline, in fully adjusted models, there was no increase in odds of cognitive impairment with serum selenium (OR 1.004, 95% CI 0.993-1.015, p = 0.512) or between SELENOP (OR 1.006, 95% CI 0.881-1.149, p = 0.930). Likewise, over 5 years, in fully adjusted models there was no association between serum selenium and cognitive impairment (β 7.20E-4 ± 5.57E-4, p = 0.197), or between SELENOP and cognitive impairment (β 3.50E-3 ± 6.85E-3, p = 0.610).In this UK cohort of very old adults, serum selenium or SELENOP was not associated with cognitive impairment at baseline and 5 years. This was an unexpected finding despite SELENOP’s key role in the brain and the observed associations in other studies. Further research is needed to explore the effect of selenium on global cognition in very old adults.
Beans, peas and pulses for improved public and planetary health: Changing UK consumption patterns
Authors: Lane L. , Wells R. , Reynolds C. 
Published: July 2024

Beans, peas and pulses offer significant nutritional, health and environmental benefits (1,2,3, 4) and the FAO states that including pulses in agrifood systems is key to achieving the Sustainable Development Goals(5). Recommended intakes vary across national food-based dietary guidelines(6), but higher intakes are associated with benefits including increased satiety, reduced blood pressure, lower risk of cardiovascular disease and improved gut microbiota composition and activity(7). Worldwide, the average consumption of pulses is 21g per person per day(8) but published analysis of UK intakes is scarce. The aim of this review was to analyse consumption trends using two UK government datasets.The Family Food module of the Living Costs and Food Survey details food and drink purchases from approximately 5000 households per year(9). The ‘UK – household purchases’ data include the average (mean) quantities purchased per person per week. Categories relating to beans, peas and pulses were identified, and data were presented as graphs of purchasing trends (1974–2021).The National Diet and Nutrition Survey (NDNS)(10) assesses the nutritional status of 1000 participants (1.5 years and over) annually. Personal-level dietary data (2008-2019) were evaluated for subgroups ‘baked beans’ and ‘beans and pulses including ready meal and homemade dishes’, including fresh, frozen and canned beans and pulses, and recipes containing them. Peas/ green beans were excluded because of the nature of the data aggregation. Food-level dietary data (2018-19) were assessed for the frequency of consumption of different types of peas, beans and pulses.Our analysis of the Family Food datasets shows that, at 28g per person per day, the current average (mean) consumption of beans, peas and pulses in the UK is suboptimal. Our parallel analysis of NDNS data showed that more than 40% of participants were not eating any beans and pulses (excluding peas).Dietary trends are shifting. The overall consumption of beans, peas and pulses has been falling steadily since the late 1980s. This is mostly due to the drop in consumption of peas and baked beans, though these are still the most frequently consumed legume categories in the UK diet. Canned pea purchases fell from 88g per person per week in 1974 to 14g per person per week in 2020-21. Baked bean purchases peaked at 133g per person per week in 1986, dropping to 78g in 2020-21.Purchases of other canned beans and pulses (excluding baked beans) have increased noticeably in the last decade, from 17g per person per week 2015-16 to 32g in 2020-21. Purchases of dried pulses have remained consistent, averaging 11g per person per week in 2020-21.This analysis indicates significant scope to deliver affordable, accessible health and environmental benefits through increased consumption of beans, peas and pulses in the UK.