bluuebunny/crossref_metadata_2025_split huggingface dataset:
Advanced set containment deep learned Rabin certificateless signcryption for secured transmission with big data in cloud
Authors: Sakthivel G. , Madhubala P. 
Published: September 2023

SummaryCloud computing is distributed type of technology to offers distant services by the internet to manage, access, and store data on their server. The cloud server manages and distributes large amounts of data. During large amounts of complex structured and unstructured data transactions, in order to protect the data and cloud resources from harmful activities by using the main task of the security system. Therefore, a novel intrusion detection system is required in cloud networks to detect malicious activity and improve secure data transmission. In this paper, a novel technique called advanced set containment deep learned Rabin certificateless signcryption (ADRES) technique is employed to secure data transmission for achieving better confidentiality, and integrity, in cloud computing. The ADRES technique includes three major phases namely Registration and key generation, signcryption, and unsigncryption. At the first phase, the user registers details to the cloud server using secure transmission in big data analytics. The cloud server generates the private and public keys for each registered user. In the second phase, the signcryption process is determined by cloud user that encrypts and generates the signature by using the Rabin cryptosystem. Then encrypted data is stored in a cloud server with minimum space complexity. Finally, the unsigncryption is performed by using signature verification and decryption. First, the signature verification is performed by applying an Advanced set containment Deep belief neural network for identifying the authorized or unauthorized user (i.e., attacker). The authorized user decrypts data using the Rabin cryptosystem to achieve the original data. Thus, secure data transmission is obtained through improved data confidentiality and integrity. Simulation of the proposed ADRES technique is performed with respect to data confidentiality level, data integrity rate, and computation time, space complexity with several numbers of data. Experimental results reported ADRES obtains the improved data transmission security with better confidentiality rate by 7%, integrity by 7%, and lesser time 16% and space complexity by 18% than the conventional methods.
Automated service monitoring in the deployment of ARCHER2
Authors: Leach Kieran , Cass Philip , Robson Steven , Kazakevicius Eimantas , Lafferty Martin , Turner Andrew , Simpson Alan 
Published: September 2023

SummaryThe ARCHER2 service, a CPU based HPE Cray EX system with 750,080 cores (5860 nodes), has been deployed throughout 2020 and 2021, going into full service in December of 2021. A key part of the work during this deployment was the integration of ARCHER2 into our local monitoring systems. As ARCHER2 was one of the very first large‐scale EX deployments, this involved close collaboration and development work with the HPE team through a global pandemic situation where collaboration and co‐working was significantly more challenging than usual. The deployment included the creation of automated checks and visual representations of system status which needed to be made available to external parties for diagnosis and interpretation. We will describe how these checks have been deployed and how data gathered played a key role in the deployment of ARCHER2, the commissioning of the plant infrastructure, the conduct of HPL runs for submission to the Top500 and contractual monitoring of the availability of the ARCHER2 service during its commissioning and early life.
An agent‐based model to evaluate agricultural vulnerability and risk facing climate change in strawberry production
Authors: Rodríguez‐Aguirre Edgar , Badillo‐Márquez Alina Evelyn , Aguilar‐Lasserre Alberto Alfonso , Flores‐Asis Rita 
Published: September 2023

AbstractHuman activity has created an environmental imbalance, which is reflected in climate change and resulting temperature variations, harmful levels of air quality, and more frequent and more intense meteorological phenomena, thus having significant consequences on the agricultural sector, for example, changes in soil, climate, and water characteristics as well as in available resources for agricultural production. This paper presents an agent‐based model (ABM) to evaluate the behavior of the strawberry's (Fragaria × ananassa) agricultural system in Veracruz, Mexico, to determine the degree of existing vulnerability through a dynamic assessment of agricultural risk. Development of the ABM allows the evaluation of variations in the active entities (critical variables of the model) to determine the factors that present a better crop yield. The research showed that temperature and precipitation are determining factors in strawberry quality, as they have a direct relationship with the growth and different phenological stages of the crop from an early age to a stage of greater maturity from the budding, flowering, and fruiting stages of the strawberry.
Design, optimisation and standardisation of a high‐dimensional spectral flow cytometry workflow assessing T‐cell immunophenotype in patients with melanoma
Authors: Edwards Jack M , Andrews Miles C , Burridge Hayley , Smith Robin , Owens Carole , Edinger Mark , Pilkington Katherine , Desfrancois Juliette , Shackleton Mark , Senthi Sashendra , van Zelm Menno C 
Published: September 2023

AbstractObjectivesDespite the success of immune checkpoint blockade, most metastatic melanoma patients fail to respond to therapy or experience severe toxicity. Assessment of biomarkers and immunophenotypes before or early into treatment will help to understand favourable responses and improve therapeutic outcomes.MethodsWe present a high‐dimensional approach for blood T‐cell profiling using three multi‐parameter cytometry panels: (1) a TruCount panel for absolute cell counts, (2) a 27‐colour spectral panel assessing T‐cell markers and (3) a 20‐colour spectral panel evaluating intracellular cytokine expression. Pre‐treatment blood mononuclear cells from patients and healthy controls were cryopreserved before staining across 11 batches. Batch effects were tracked using a single‐donor control and the suitability of normalisation was assessed. The data were analysed using manual gating and high‐dimensional strategies.ResultsBatch‐to‐batch variation was minimal, as demonstrated by the dimensionality reduction of batch‐control samples, and normalisation did not improve manual or high‐dimensional analysis. Application of the workflow demonstrated the capacity of the panels and showed that patients had fewer lymphocytes than controls (P = 0.0027), due to lower naive CD4+ (P = 0.015) and CD8+ (P = 0.011) T cells and follicular helper T cells (P = 0.00076). Patients showed trends for higher proportions of Ki67 and IL‐2‐expressing cells within CD4+ and CD8+ memory subsets, and increased CD57 and EOMES expression within TCRγδ+ T cells.ConclusionOur optimised high‐parameter spectral cytometry approach provided in‐depth profiling of blood T cells and found differences in patient immunophenotype at baseline. The robustness of our workflow, as demonstrated by minimal batch effects, makes this approach highly suitable for the longitudinal evaluation of immunotherapy effects.
A quantitative characterization of early neuron generation in the developing zebrafish telencephalon
Authors: Casas Gimeno Glòria , Dvorianinova Ekaterina , Lembke Carla‐Sophie , Dijkstra Emma S. C. , Abbas Hussam , Liu Yuanyuan , Paridaen Judith T. M. L. 
Published: September 2023

AbstractThe adult brain is made up of anatomically and functionally distinct regions with specific neuronal compositions. At the root of this neuronal diversity are neural stem and progenitor cells (NPCs) that produce many neurons throughout embryonic development. During development, NPCs switch from initial expanding divisions to neurogenic divisions, which marks the onset of neurogenesis. Here, we aimed to understand when NPCs switch division modes to generate the first neurons in the anterior‐most part of the zebrafish brain, the telencephalon. To this end, we used the deep learning‐based segmentation method Cellpose and clonal analysis of individual NPCs to assess the production of neurons by NPCs in the first 24 h of zebrafish telencephalon development. Our results provide a quantitative atlas detailing the production of telencephalic neurons and NPC division modes between 14 and 24 h postfertilization. We find that within this timeframe, the switch to neurogenesis is gradual, with considerable heterogeneity in individual NPC neurogenic potential and division rates. This quantitative characterization of initial neurogenesis in the zebrafish telencephalon establishes a basis for future studies aimed at illuminating the molecular mechanisms and regulators of early neurogenesis.
Prevalence of chronic pain and chronic widespread pain among subjects with heart failure in the general population: The HUNT study
Authors: Vikan K. K. , Landmark T. , Gjeilo K. H. 
Published: September 2023

AbstractBackgroundPain in chronic heart failure (HF) is a significant but often unrecognized symptom. Characteristics of pain in subjects with HF are largely undescribed. The study aimed to address a knowledge gap in the relationship between HF and pain by investigating the prevalence of chronic pain and chronic widespread pain (CWP) among subjects with HF.MethodsPopulation data from the HUNT3 study in Norway (2006–2008, n = 50,802) was used. HF was measured by self‐report. CWP was defined as having pain in both sides of the body, pain in the upper and lower limbs, and axial pain for at least 3 months in the last year. Associations between HF and CWP and HF and moderate to high pain intensity were analysed with logistic regression.ResultsAmong subjects with HF in the general population, the prevalence of chronic pain was 67.8%, 20.7% had CWP, and 58.8% had moderate to high intensity pain. Compared to participants with cardiovascular disease but not HF, the odds of both CWP (OR = 1.6; 95% CI: 1.3–2.0) and moderate to high intensity pain (OR = 1.3; 95% CI: 1.3–1.8) were higher among participants with HF‐controlled for age, sex, body mass index, and comorbidity.ConclusionsOur study confirmed the high prevalence of pain among HF subjects. This pain could not be explained by comorbidity or sociodemographic factors, which are relevant for clinical and research purposes. Pain management should not be restricted to cardiac‐related pain but to chronic pain in general.SignificanceThis epidemiological study corroborates previous studies reporting a high prevalence of pain in the HF‐population. We found that the relationship between HF, CWP, and pain intensity could not be explained by comorbidity or sociodemographic factors, illustrating the burden of chronic pain related to HF. Our results expand the understanding of pain in HF and highlight the need to identify and manage chronic pain among individuals with HF, as widespread pain adds to the symptom burden in individuals with HF.
Evaluation of maternal serum vascular endothelial growth factor C and D levels in intrahepatic cholestasis of pregnancy
Authors: Farisoğullari Nihat , Tanaçan Atakan , Sakcak Bedri , Denizli Ramazan , Başaran Ezgi , Kara Özgür , Yazihan Nuray , Şahin Dilek 
Published: September 2023

AbstractObjectiveThis study aimed to investigate maternal serum vascular endothelial growth factor (VEGF) C and D levels in patients with intrahepatic cholestasis of pregnancy (ICP).MethodsA total of 83 patients, including 41 patients with ICP and 42 healthy pregnant women, were included in the study. We first compared the maternal serum VEGF‐C and VEGF‐D levels between the ICP and control groups and then examined the correlation between the serum VEGF‐C level and the bile acid level in patients with severe ICP.ResultsWe observed statistically significantly higher serum VEGF‐C levels and lower VEGF‐D levels in the ICP group compared with the healthy controls (P < 0.001 and P = 0.015, respectively). According to receiver operating characteristic analysis, the optimal cutoff value for ICP was 147 ng/mL in the determination of the VEGF‐C level (specificity and sensitivity: 76%). In patients with severe ICP, the serum VEGF‐C statistically significantly correlated with the bile acid level (P = 0.019).ConclusionThis study showed that the maternal serum VEGF‐C level was higher and the VEGF‐D level was lower in patients with ICP compared with healthy pregnant women. We also found that the VEGF‐C level was correlated with the serum bile acid level in patients with severe ICP. Serum VEGF‐C level can be used in the diagnosis and follow‐up of intrahepatic pregnancy cholestasis.
Fertility management of sheep and optimising flock returns
Authors: Hull Jenny , Neillans Claire , Canavan‐Hicks Emili 
Published: September 2023

Background: Sheep farming can have very small margins in terms of profitability and so any activity that improves the efficiency of the enterprise and optimises flock returns is of great importance. Fertility management is one such area that is crucial for an efficient flock, with improvements leading to increased numbers of lambs produced per ewe and reduced barren rates.Aim of the article: This article aims to outline to practitioners how to engage with sheep farmers to better manage fertility within their flocks for improved returns.
Correlation of extended Martin/Hopkins equation with a direct homogeneous assay in assessing low‐density lipoprotein cholesterol in patients with hypertriglyceridemia
Authors: Chung Soie 
Published: September 2023

AbstractBackgroundThe Friedewald or Martin/Hopkins equation is widely used to estimate low‐density lipoprotein cholesterol (LDL‐C) at triglyceride (TG) levels <400 mg/dL. In this study, we aimed to validate the recently developed Sampson and extended Martin/Hopkins equations intended for use in patients with TG levels up to 800 mg/dL by comparing them to a direct homogenous assay.MethodsIn total, 8676 participants with serum TG levels <800 mg/dL were enrolled in this study. LDL‐C was directly measured using Abbott homogeneous assay (DLDL) and estimated using the Friedewald (FLDL), Martin/Hopkins (MLDL), extended Martin/Hopkins (EMLDL), and Sampson equations (SLDL). The overall concordance between the DLDL and LDL‐C estimates was calculated. The performance of the four equations was also compared using Bland–Altman plots and mean absolute difference (MAD).ResultsThe EMLDL was more accurate than other LDL‐C equations particularly for patients with TG≥400 mg/dL (MAD = 10.43; vs. FLDL: MAD = 21.1; vs. SLDL: MAD 11.62). The overall concordance of FLDL, MLDL, EMLDL, and SLDL with DLDL in TG values ranging from 200 to 799 mg/dL were 52.2, 70.5, 71.6, and 65.7%, respectively (p < 0.001), demonstrating the EMLDL as the most optimal estimation method, particularly for high TG levels (≥200 mg/dL).ConclusionBoth the original and extended Martin/Hopkins method are optimal in estimating LDL‐C levels in clinical laboratories using the Abbott analyzer in patients with TG levels of 200–399 and 400–799 mg/dL, respectively. Meanwhile, caution is need that considerable underestimation of Friedewald and Sampson equation could lead to undertreatment in hypertriglyceridemia.
Leptin excites basolateral amygdala principal neurons and reduces food intake by LepRb‐JAK2‐PI3K‐dependent depression of GIRK channels
Authors: Boyle Cody A. , Kola Phani K. , Oraegbuna Chidiebele S. , Lei Saobo 
Published: September 2023

AbstractLeptin is an adipocyte‐derived hormone that modulates food intake, energy balance, neuroendocrine status, thermogenesis, and cognition. Whereas a high density of leptin receptors has been detected in the basolateral amygdala (BLA) neurons, the physiological functions of leptin in the BLA have not been determined yet. We found that application of leptin excited BLA principal neurons by activation of the long form leptin receptor, LepRb. The LepRb‐elicited excitation of BLA neurons was mediated by depression of the G protein‐activated inwardly rectifying potassium (GIRK) channels. Janus Kinase 2 (JAK2) and phosphoinositide 3‐kinase (PI3K) were required for leptin‐induced excitation of BLA neurons and depression of GIRK channels. Microinjection of leptin into the BLA reduced food intake via activation of LepRb, JAK2, and PI3K. Our results may provide a cellular and molecular mechanism to explain the physiological roles of leptin in vivo.
Mature B‐cell lymphomas in adolescents and young adults
Authors: El‐Mallawany Nader Kim , Giulino‐Roth Lisa , Burke John M. , Hermiston Michelle , Allen Carl E. 
Published: September 2023

AbstractPediatric non‐Hodgkin lymphoma includes over 30 histologies (many with subtypes), with approximately 800 cases per year in the US, compared to >60,000 cases of adult NHL annually. Improvements in survival in pediatric and adolescent mature B cell NHL over the past 5 decades align with the overall success of the cooperative trial model with dramatic improvements in outcomes through dose escalation of chemotherapy and, more recently, targeted therapy with rituximab. Pediatric dose‐intense strategies carry risks of long‐term consequences, but treatment failure is nearly universally fatal. By comparison, adult mature B cell lymphoma is typically less aggressive and treated with less intense chemotherapy. Optimizing therapy for adolescents and young adults remains a major challenge that requires creative solutions, including engineering study groups to combine biologically comparable adult and pediatric populations and developing effective salvage strategies that will ultimately be required for investigations of front‐line dose reduction. In this review, we discuss challenges and opportunities for improving outcomes for adolescents and young adults with high‐grade mature B cell lymphomas, diffuse large B cell lymphoma, and primary mediastinal B cell lymphoma.
A novel method for continuous measurements of clinical practice guideline adherence
Authors: Ebben Kees C.W.J. , de Kroon Cornelis D. , Schmeink Channa E. , van der Hel Olga L. , van Vegchel Thijs , Moncada‐Torres Arturo , de Hingh Ignace H.J.T. , van der Werf Jurrian 
Published: September 2023

AbstractIntroductionClinical practice guidelines (hereafter ‘guidelines’) are crucial in providing evidence‐based recommendations for physicians and multidisciplinary teams to make informed decisions regarding diagnostics and treatment in various diseases, including cancer. While guideline implementation has been shown to reduce (unwanted) variability and improve outcome of care, monitoring of adherence to guidelines remains challenging. Real‐world data collected from cancer registries can provide a continuous source for monitoring adherence levels. In this work, we describe a novel structured approach to guideline evaluation using real‐world data that enables continuous monitoring. This method was applied to endometrial cancer patients in the Netherlands and implemented through a prototype web‐based dashboard that enables interactive usage and supports various analyses.MethodThe guideline under study was parsed into clinical decision trees (CDTs) and an information standard was drawn up. A dataset from the Netherlands Cancer Registry (NCR) was used and data items from both instruments were mapped. By comparing guideline recommendations with real‐world data an adherence classification was determined. The developed prototype can be used to identify and prioritize potential topics for guideline updates.ResultsCDTs revealed 68 data items for recording in an information standard. Thirty‐two data items from the NCR were mapped onto information standard data items. Four CDTs could sufficiently be populated with NCR data.ConclusionThe developed methodology can evaluate a guideline to identify potential improvements in recommendations and the success of the implementation strategy. In addition, it is able to identify patient and disease characteristics that influence decision‐making in clinical practice. The method supports a cyclical process of developing, implementing and evaluating guidelines and can be scaled to other diseases and settings. It contributes to a learning healthcare cycle that integrates real‐world data with external knowledge.
An Injectable Composite Hydrogel of Verteporfin‐Bonded Carboxymethyl Chitosan and Oxidized Sodium Alginate Facilitates Scarless Full‐Thickness Skin Regeneration
Authors: Yang Jiang‐Tao , Wu Dingwei , Li Jianping , Zhao Chenchen , Zhu Lian , Xu Chengchen , Xu Na 
Published: September 2023

AbstractFull‐thickness skin defect has always been a major challenge in clinics due to fibrous hyperplasia in the repair process. Hydrogel composite dressings loaded with anti‐fibrotic drugs have been considered as a promising strategy for scarless skin regeneration. In this work, a hydrogel composite (VP‐CMCS‐OSA) of carboxymethyl chitosan (CMCS) and oxidized sodium alginate (OSA), with loading anti‐fibrotic drug verteporfin (VP), is developed based on two‐step chemical reactions. Verteporfin is bonded with carboxymethyl chitosan through EDC/NHS treatment to form VP‐CMCS, and then VP‐CMCS is crosslinked with oxidized sodium alginate by Schiff base reaction to form VP‐CMCS‐OSA hydrogel. The characterization by SEM, FTIR, and UV–Vis shows the microstructure and chemical bonding of VP‐CMCS‐OSA. VP‐CMCS‐OSA hydrogel demonstrates the properties of high tissue adhesion, strong self‐healing, and tensile ability. In the full‐thickness skin defect model, the VP‐CMCS‐OSA composite hydrogels hasten wound healing due to the synergistic effects of hydrogels and verteporfin administration. The histological examination reveals the regular collagen arrangement and more skin appendages after VP‐CMCS‐OSA composite hydrogel treatment, indicating the full‐thickness skin regeneration without potential scar formation. The outcomes suggest that the verteporfin‐loaded composite hydrogel could be a potential method for scarless skin regeneration.
Sodium Alginate Hydrogel Carrier with Calcium Carbonate as Calcium Source for Ibuprofen Release
Authors: Lin Xiuling , Shi Jiali , Meng Ge , Yu Chen 
Published: September 2023

AbstractSodium alginate (SA) hydrogels crosslinked by calcium carbonate (CaCO3) and gluconolactone (GDL) are prepared and characterized by X‐ray diffraction (XRD) analysis and Fourier transform infrared (FTIR) spectrometry. The morphologies of the gel are observed with scanning electron microscopy (SEM). The SA hydrogels are used as carriers of the anti‐inflammatory drug ibuprofen (IBU). The effects of GDL content, pH value, and temperature on IBU release behavior are investigated and associated kinetic analysis is performed. The results show that the cumulative release of IBU shows a trend of increasing and then decreasing with increased GDL content. The maximum cumulative release is observed when the molar ratio of calcium ions (Ca2+) in CaCO3 to GDL is 0.6. The release behavior of IBU is observed to be influenced by pH levels, and it exhibits an optimal release trend at a pH value of 7.4. The impact of temperature on the release behavior of IBU is relatively insignificant compared to other factors. The Korsmeyer–Peppas release kinetic model is well fitted and suitable to explain the release behavior of IBU from the sodium alginate hydrogel.