bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cerebral consumption of lactate contributes to neurological injury after experimental cardiac arrest in rabbits
Authors: Faucher Estelle , Demelos Alexandra , Boissady Emilie , Abi-Zeid-Daou Yara , Lidouren Fanny , Vigué Bernard , Rodrigues Aurore , Ghaleh Bijan , Tissier Renaud , Kohlhauer Matthias 
Published: February 2024

Abstract

Background: During focal ischemia, neurons can use lactate as an alternative source of energy through its oxidation into pyruvate by the lactate dehydrogenase (LDH). After cardiac arrest, the neurological consequences of this phenomenon are unknown.
Methods: Rabbits were surgically instrumented and submitted to 10 min of ventricular fibrillation. After cardiopulmonary resuscitation, they were followed during 4 hours for the evaluation of the cerebral consumption and concentrations of several metabolites (n=6 / group) or during 48 hours for the evaluation of the neurological outcome (n=7 per group). In a first protocol, rabbits received either lactate, pyruvate or vehicle. In a second protocol, they received oxamate (LDH inhibitor), fluorocitrate (inhibitor of tricarboxylic acid cycle) or vehicle (Oxa, FC and Control groups). Finally, in a third protocol, they were submitted to rapid hypothermia induced by total liquid ventilation as an established neuroprotective approach, as compared to normothermia (TLV and Control groups).
Results: In the first protocol, lactate and pyruvate administration enhanced metabolic disorders and cerebral consumption of lactate after cardiac arrest. This was associated with increased neurological dysfunction (median score = 72% [64 – 100], 100% [80 – 100] and 53% [38 – 60] in Lactate, Pyruvate and Control group respectively) at 48 hours after cardiac arrest. In the second protocol, oxamate and FC inhibited lactate metabolism vs Control and subsequently improved neurological recovery (median score = 15% [0 – 45], 16% [0 – 55] and 62% [38 – 72],for Oxa, FC and Control groups, respectively). In the third protocol, rapid hypothermia by TLV both mitigated lactate metabolism and and improved the neurological recovery.
Conclusions: After cardiac arrest, cerebral oxidation of lactate into pyruvate by the neurons is deleterious. LDH inhibition might represent a promising therapeutic strategy for neuroprotection in this setting.
Analyzing the Structural Integrity and Efficiency of Silos: A Comparative Study of Plate Thickness Variations
Authors: Harle Shrikant M. , Bhagat Amol 
Published: February 2024

Abstract
This study investigates the influence of plate thickness on stress distribution within silo structures through a comparative analysis across various models. The analysis, conducted using STAAD-PRO software, explores stress components such as Principal top stress, Tresca top stress, membrane stress (SX), and shear stresses (SQX and SQY). Results demonstrate a consistent trend: as plate thickness increases from 0.1 meters to 0.5 meters, stress levels decrease across all components. Thicker plates exhibit enhanced structural robustness, reducing stress concentrations and improving overall stability. Additionally, maximum stress occurs at the top portions of the silo structure for thinner plates, while stress variations exist among different stress components across models. These findings emphasize the critical role of plate thickness in optimizing silo design for enhanced structural integrity and operational reliability. Understanding stress distributions is essential for informed decision-making in silo construction, ensuring safety and performance under operational conditions.
Primary large B-cell lymphoma of the adrenal gland has similar clinical, pathological, and genetic features to the primary large B-cell lymphoma of immune-privileged sites
Authors: Wang Chaofu , Deng Shijie , Li Anqi , Wang Zhongyu , Wang Xuejing , Ouyang Binshen , Zhu Lingyan , Yu Teng , Jiang Li , Fan Yue , Zhang Yuxiu , Shen Xia , Xu Hai-Min , Ruan Miao , Da Qian , Wang Jing , Dong Lei , Liu Zebing , Yi Hongmei 
Published: February 2024

Abstract
Primary large B-cell lymphoma of immune-privileged sites (IP-LBCL) is a newly categorized disease entity in the 5th WHO Classification of Tumors. Through the analysis of 47 primary adrenal large B-cell lymphoma (PA-LBCL) cases, we unraveled the similarity to IP-LBCL in clinical presentation, pathological features, and genetic landscape. Our findings reveal a predominant immunophenotype of Bcl6 + CD10-Mum1 + in PA-LBCL, mirroring that observed in IP-LBCL, and a shared mutation spectrum characterized by the notable presence of PIM1, MYD88 L265P and CD79B mutations. Moreover, PA-LBCL emerges as a unique subset within the lymphoma spectrum, exhibiting a more favorable prognosis than DLBCL-NOS with secondary adrenal involvement, a revelation that challenges existing paradigms. The study not only calls for a reevaluation of PA-LBCL’s classification within the realm of large B-cell lymphomas but also opens new avenues for targeted therapeutic strategies and prognostic assessment. This research improves our understanding of lymphomas, particularly those arising in atypical locations, reshaping the landscape of lymphoma classification and management.
Elucidating the Role of Metabolic and Cardiovascular Risk Factors in Benign Adrenal Tumors
Authors: Chen Junhao , Li Xiangyun , Zuo Jieming , Dong Haonan , Shi Hongjin , Deng Cheng , Wang Haifeng , Fu Shi , Li Hongqiong 
Published: February 2024

Abstract

Objective: Cardiovascular and metabolic diseases, including both obesity and blood pressure, have been previously implicated in observational studies as having some association with the occurrence of adrenal tumors. This study aims to evaluate the causal relationships of these high-risk factors with the disease using a Mendelian randomization approach with two-sample data. Single nucleotide polymorphisms (SNPs) for blood pressure, BMI, blood glucose, and cardiovascular diseases were extracted from publicly available whole-genome databases. These were then compared separately with benign adrenal tumors. It was found that only BMI was associated with the occurrence of benign adrenal tumors, and this process may be mediated by C-reactive protein (CRP). We explore whether C-reactive protein (CRP) can mediate the causal relationship between body mass index (BMI) and benign adrenal tumors, further investigating the mechanism and the proportion of CRP involved in this process.
Methods: Utilizing a two-sample Mendelian randomization approach, comparisons were made between BMI, blood pressure, cardiovascular diseases, blood glucose, and the outcome. Subsequently, both two-sample Mendelian randomization and multivariable Mendelian randomization (MVMR) analyses were conducted to investigate whether CRP serves as a mediator in the causal relationship between BMI and benign adrenal tumors, while calculating the proportion of mediation involved.
Results: There was no causal relationship observed between blood pressure (OR=0.976, 95%CI=0.931-1.024, p=0.339), blood glucose (OR=0.960, 95%CI=0.648-1.422, p=0.840), cardiovascular diseases (OR=0.724, 95%CI=0.244-2.142, p=0.559), and benign adrenal tumors. However, a positive causal relationship was found between BMI and benign adrenal tumors (OR=1.20, 95%CI=1.06-1.35, p=0.003). There was also a positive causal relationship observed between BMI and CRP (OR=1.07, 95%CI=1.06-1.08, p<0.01), as well as between CRP and benign adrenal tumors (OR=1.401, 95%CI=1.017-1.929, p=0.038). After adjusting for CRP, the causal relationship between BMI and benign adrenal tumors diminished (OR=1.35, 95%CI=1.06-1.73, p=0.014). Even after controlling for BMI, a causal relationship between CRP and benign adrenal tumors persisted (OR=1.32, 95%CI=1.03-1.69, p=0.025). The proportion of mediation by CRP was calculated to be 10.4%.
Conclusion: Using Mendelian genetic research methods, this study provides evidence that elevated levels of C-reactive protein may serve as a crucial mediating factor in BMI-induced benign adrenal tumors. Therefore, clinicians should pay particular attention to monitoring and managing levels of C-reactive protein when dealing with obese patients, to more effectively prevent the development of adrenal tumors.
Integration of Multi-omics Data Revealed the Orphan CpG Islands and Enhancer-dominated Cis-regulatory Network in Glioma
Authors: yao jiawei , Yao Penglei , Li Yang , he ke , ma xinqi , Yang Qingsong , Jia Junming , Chen Zeren , Gu Shuqing , Li Weihua , Wang Guangzhi , Guo Mian 
Published: February 2024

Abstract
Background: The complex transcriptional regulatory network leads to the poor prognosis of glioma. The role of orphan CpG islands (oCGIs) in the transcriptional regulatory network has been overlooked. Establishing a sophisticated transcriptional regulatory system is paramount.Methods: We constructed different cis-regulatory models through mutual information and Bayesian networks. We utilized eleven machine learning algorithms to develop classifiers that could effectively integrate multi-omics datasets. we utilized single-cell multi-omics data construct a higher-resolution cis-regulatory network. To investigate the binding interaction between oCGIs and transcription factors, we utilized chromatin immunoprecipitation assay and qRT-PCR. Furthermore, we assessed the proliferative status of various glioma subtypes using the MTT assay and immunohistochemistry.Results: The cis-regulatory network dominated by oCGIs and enhancers was significantly active in the glioma subtypes, mainly characterized by glioblastoma (Cluster 2). Direct regulation of target genes by oCGIs or enhancers is of great importance in the cis-regulatory network. Furthermore, based on single-cell multi-omics data, we found that the highly activated cis-regulatory network in Cluster 2 sustains the high proliferative potential of glioma cells. The upregulation of oCGIs and enhancers related genes in Cluster 2 results in glioma patients exhibiting resistance to radiotherapy and chemotherapy. These findings were further validated through glioma cell line related experiments.Conclusion: Our study systematically elucidated the cis-regulatory role of oCGIs for the first time. The comprehensive characterization of the multi-omics features of the oCGIs- and enhancers-dominated cis-regulatory network offers a novel insight into the pathogenesis of glioma and provides new strategies to treat this challenging disease.
Range expansion risk for a newly established invasive duckweed species in Europe and Canada
Authors: Andrade-Pereira Debora , Cuddington Kim 
Published: February 2024

Abstract

Landoltia punctata is an invasive aquatic plant that has spread across the United States. Unlike native duckweeds, this species has developed herbicide resistance. As a result, invasion can lead to high management costs and the loss of recreational areas and natural habitats. The species has been recently found in Europe, and is also approaching the northern US border with Canada. We predicted the potential distribution of L. punctata in western Europe and Canada using presence-only data from the Global Biodiversity Information Facility as well as other literature records. We fit predictive models to this data using a Maxent approach. Since climate data based on surface lake water conditions are often more relevant to macrophytes than air temperature metrics, our models included both water and air temperature bioclimatic variables related to the life history of the species. Model comparisons confirmed a superior fit of lake temperatures to duckweed distribution records. The best fit model suggests a high habitat suitability for the species in most Western European countries and Western Canada. A moderate emission scenario suggests that in 2070 currently compatible areas will still be suitable, and that the Great Lakes region will become suitable. Preventive measures to avoid future spread of L. punctata are recommended in these locations to avoid impacts associated with this and similar duckweed species in Europe and the US.
The prevalence of allergic diseases is associated with clinical outcomes in ulcerative colitis
Authors: Yamamoto Yasunori , Furukawa Shinya , Yoshida Osamu , Miyake Teruki , Shiraishi Kana , Hashimoto Yu , Tange Kazuhiro , Kitahata Shogo , Ninomiya Tomoyuki , Yagi Sen , Masakazu Hanayama , Suzuki Seiyuu , Shibata Naozumi , Murakami Hidehiro , Ohashi Katsuhisa , Tomida Hideomi , Takeshita Eiji , Ikeda Yoshio , Hiasa Yoichi 
Published: February 2024

Abstract
Background: No evidence regarding the association between the prevalence of allergic diseases and the clinical activity of ulcerative colitis (UC) exists, although several studies have shown the positive association between allergic diseases and onset of UC. Aim: This study aimed to investigate this issue in patients with UC.
Methods: We studied 289 Japanese patients with UC. Information regarding allergic diseases (asthma, atopic dermatitis, pollen allergy, food allergy, and drug allergy) diagnosed by a medical doctor, lifestyle, and medical history were collected using a self-administered questionnaire. The definition of mucosal healing (MH) was Mayo Endoscopic Score 0. The association between each allergic disease and its multimorbidity with MH was evaluated using multivariate logistic regression analyses.
Results: Pollen allergy was the most common allergic disease (36.3%). Pollen allergy and food allergy were independently positively associated with MH (pollen allergy adjusted odds ratio (OR): 1.82 [95% confidence interval (CI): 1.01–3.26]; food allergy adjusted OR: 3.47 [95% CI: 1.26–9.68]). The rate of MH for 0, 1, 2, and 3 or more allergic diseases was 22.6%, 21.3%, 29.7%, and 59.3%, respectively. After adjustment, 3 or more allergic diseases was independently and positively associated with MH (adjusted OR for 3 or more diseases: 8.13 [95% CI: 2.17–34.04], p for trend = 0.020).
Conclusions.: In patients with UC, pollen allergy and food allergy were independently positively associated with MH, respectively. Additionally, allergic multimorbidity was independently positively associated with MH.
Solving Integer Linear plus Linear Fractional Programs
Authors: CHERFAOUI Yasmine , FALI Fatima , Abid Saber 
Published: February 2024

Abstract
The optimization of integer linear plus linear fractional programs (ILLFPs) presents significant challenges in the research field. This study introduces two innovative methods designed to efficiently address the non-convex and non-linear characteristics of ILLFPs. The first method proposed is an implicit exploration or branch and cut approach, which systematically explores the problem domain until the optimal solution is attained. The second method is a parametric approach that employs a linear integer program, adjusting parameter values until the solution matches the optimal solution of the ILLFP. Computational experiments were conducted using randomly generated instances to evaluate the effectiveness of these methods. The results indicate that the parametric approach outperforms the branch and cut method.
The Potential of Vehicle-to-Home Integration for Residential Prosumers: A Case Study
Authors: Brennenstuhl Marcus , Otto Robert , Elangowan Pawan , Eicker Ursula 
Published: February 2024

Abstract

The transition of the transport sector to e-mobility poses various challenges, but also provides great flexible load and supply potential and thus enables a stronger coupling of the transport sector with other sectors. If emerging opportunities such as bidirectional charging in the context of Vehicle-to-Home and Vehicle-to-Grid applications are utilised, a previously unimagined load management and storage potential can be tapped. This can transform e-mobility from an additional burden to the grid to a grid-supporting factor that enables greater integration of renewable energies and reduces additional investments in infrastructure like grid expansion and stationary storage systems. In order to investigate this potential, within this work we examine simulation based various Vehicle-to-Home (PV self-consumption, load shifting due to flexible electricity tariff) and Vehicle-to-Grid (secondary reserve) scenarios for different driving profiles for a residential building with heat pump, PV system and optionally with small wind turbine. In addition, a charge load optimisation is carried out using a genetic algorithm. The energy quantities, saving potential and the additional number of battery cycles are quantified. The results show that, despite additional battery degradation, significant financial incentives can be achieved.
The effect of the compound slope spillway on air entrainment and total kinetic energy using computational fluid dynamics
Authors: Jahad Udai A. , A. Alabas Mohammed , Mahmoud Ammar Shaker , Al-Ameri Riyadh , Das Subrat 
Published: February 2024

Abstract

The spillway is a hydraulic structure used for managing discharge, dissipating energy, and aeration purposes. The objective of this CFD analysis was to compare the ways in which water moved over various slanted spillways. Both the turbulence and the air–water interface were located using the volume of fluid (VOF) technique and a realizable k-model. Five different spillway models with varying slopes (normal = 30°, compound1 = 20° and 39°, and compound2 = 39° and 20°) were modelled and simulated in ANSYS Fluent. Computational data have been compared to the experimental results, and the findings were astonishing – the CFD model precisely captured the all-important flow facets. The numerical model pinpointed the inception point that occurred due to changes in slope and structure. In comparison to the normal slopes of (30°) and the compound slopes of (39°/20°), the surge in the location of the inception point was around 58%. The results of the research indicate a significant increase in turbulent kinetic energy as a result of the introduction of the compound slope. The study conducted has effectively achieved a crucial objective of the project, which is to enhance the operational efficiency and reliability of the spillway under diverse flow conditions.
Machine Learning-based Deep Analysis of Human Blood using NIR
Spectrophotometry Signatures
Authors: Kumar Yogesh , Dogra Ayush , Dhiman Varun , Singh Vishavpreet , Kaushik Ajeet , Kumar Sanjeev 
Published: February 2024

Background:
Non-invasive bio-diagnostics are essential for providing patients with safer treatment. In this subject, significant growth is attained for noninvasive
anaemia detection in terms of Hb concentration by means of spectroscopic and image analysis. The lower satisfaction rate is found due to
inconsistent results in various patient settings.

Objective::
This observational study aims to present an adaptable point-of-care Near-Infrared (NIR) spectrophotometric approach with a constructive Machine
Learning (ML) algorithm for monitoring Haemoglobin (Hb) concentration by considering dominating influencing factors into account.

Methods::
To accomplish this objective, 121 subjects (19.2-55.4 years) were enrolled in the study, having a wide range of Hb concentrations (8.2-17.4 g/dL)
obtained from two standard Laboratory analyzers. To inspect the performance, the unique dimensionality reduction approaches are applied with
numerous regression models using 5-fold cross-validation.

Results::
The optimum accuracy is found using support vector regression (SVR) and mutual information having 3 independent features i.e. Pearson
correlation (r)= 0.79, standard deviation (SD)= 1.07 g/dL, bias=-0.13 g/dL and limits of agreement (LoA)=-2.22 to 1.97 g/dL. Additionally,
comparability between two standard laboratory analyzers is found as; r=0.97, SD=0.50 g/dL, bias=0.21 g/dL, and LoA= -0.77 to 1.19 g/dL.

Conclusion::
The precision of ±1 g/dL in 5-fold cross-validation ensures the same performance irrespective of different age groups, gender, BMI, smoking level,
drinking level, and skin type. The outcomes with the offered NIR sensing system and an exclusive ML algorithm can accelerate its’ requirement at
remote locative rural areas and critical care units where continuous Hb monitoring is compulsory.
Exploring the Therapeutic Potential: Phytochemistry and Pharmacology of Bryophyllum pinnatum
Authors: Dhumane Saurabh , Naik Tejas , Shelke Mahesh , Dukare Kiran , Dhongade Krushna 
Published: February 2024

Bryophyllum pinnatum, a renowned medicinal plant with a rich history in various traditional medical practices, has been utilized for treating a range of ailments such as fever, smallpox, otitis, cough, asthma, headache, convulsion, and general debility. The plant's diverse secondary metabolites, including steroids, flavonoids, terpenoids, fatty acids, bufadienolides, proteins, peptides, vitamins, and polysaccharides, have been identified. Over the past thirty years, extensive research has unveiled the plant's pharmacological effects both in vivo and in vitro, demonstrating its antimicrobial, anti-ulcer, antihypertensive, antileishmanial, anti-cancer, antidiabetic, and immunomodulatory properties.
This comprehensive review aims to provide a consolidated overview of Bryophyllum pinnatum, encompassing its traditional uses, phytochemistry, and pharmacological studies. By presenting a wealth of information, this paper seeks to inspire further exploration into the potential beneficial applications of the plant. Additionally, it sheds light on the clinical uses and prospects of Bryophyllum pinnatum, offering valuable insights for future research endeavors.
Keywords: Bryophyllum pinnatum, Chemical Constituent, Biological activities, antioxidant effect, Therapeutic potential
DNA tetrahedron as nanoparticulated delivery system in combating diseases
Authors: Mandal Ardhendu Kumar 
Published: February 2024

Many diseases suffer from drug resistance and nucleic acid cargo delivery. To optimize pharmaceutics and to enhance their efficiency of cellular uptake, DNA nanomaterial tetrahedrons, owing to their precise control in size, shape, excellent biocompatibility and cellular permeability, reduced cytotoxicity, good stability, ease synthesis and multiple sites for targeting design, have attracted attention for targeting cargos delivery. Their nanostructural binding efficiency with many cargos depends on their electrostatic attractions among free electrons of phosphate oxygen, sugar and base nitrogen. Self-assembled DNA tetrahedrons (DTs) alone also can regulate cellular processes to some extent, especially, on migration, differentiation, proliferation and autophagy, and their modifications with the attachment of aptamers, peptides, nucleic acids, antibodies, different low-molecular-weight drugs and other components, make them a novel targeted delivery system as effective nanomedicine. This review demonstrates the current progress of DTs towards their synthesis, characterization, biomedical applications, biodistribution, elimination and toxicity as possible nanoparticulated delivery system.
Keywords: Diseases; Drug resistance; DNA tetrahedron; nanoparticulated delivery system; Nanomedicine