bluuebunny/crossref_metadata_2025_split huggingface dataset:
Crossover Boosted Grey Wolf Optimizer‐based framework for leader election and resource allocation in Intrusion Detection Systems for MANETs
Authors: Selvaraj Saravanan , Nanjappan Manikandan , Nagalingam Mythili , Balasubramanian Uma Maheswari 
Published: April 2024

AbstractMobile Ad hoc Networks (MANETs) is a self‐organizing networks without having a fixed infrastructure for making them susceptible to security threats. Intrusion Detection Systems (IDS) promotes security in MANETs by identifying malicious activities. Leader election is a fundamental aspect of IDS deployment, impacting resource allocation and system efficiency. This article presents a novel approach, the Crossover Boosted Grey Wolf Optimizer (CBGWO), for leader election and resource allocation in MANET‐based IDS. The proposed CBGWO algorithm integrates the Grey Wolf Optimizer (GWO) with innovative crossover operators that have an ability to enhance the capabilities of exploration and exploitation in the optimization process. The leader election problem is solved through applying multi‐objective optimization by considering energy consumption, reputation, and communication overhead. Objective functions are defined to maximize energy efficiency while maintaining a balanced distribution of leadership roles. Extensive simulations are conducted, varying network densities and the percentage of selfish nodes. Results demonstrate the effectiveness of the CBGWO‐based model in balancing energy consumption, prolonging network lifespan, and enhancing intrusion detection by comparing different state‐of‐the‐art models such as PCA‐FELM, CTAA‐MPSO, FLS‐RE, LEACH, DCAIDS, WOA‐GA, and VOELA. The proposed model achieved an energy consumption of 4.31 J, network lifetime of 560.482 ms, and average intrusion detection latency of 0.12 s, respectively. The proposed model outperforms than existing random and connectivity‐based leader election methods that is evaluated by taking main consideration of energy efficiency and network survivability. This research contributes to the field by introducing a robust algorithm for leader election in MANET‐based IDS, addressing challenges posed by network dynamics and resource constraints. The CBGWO‐based approach showcases its potential to achieve effective leader election and efficient resource allocation, thereby enhancing the security and sustainability of MANETs.
Landslides of China's Qinling
Authors: Feng Liye , Xu Chong , Tian Yingying , Li Lei , Sun Jingjing , Huang Yuandong , Wang Peng , Zhang Xuewei , Li Tao , Yang Wentao , Ma Siyuan , Shao Xiaoyi , Xu Jixiang , Chen Jingyu 
Published: April 2024

AbstractThe Qinling Mountains in China frequently experience geological disasters, with large‐scale landslides being particularly prominent, causing severe economic losses to the local area. To gain a comprehensive understanding of the geological disaters distribution in the region, we conducted extensive research on the entire Qinling Mountains, covering an area of approximately 380,000 km2. By employing methods such as literature review, data collection, and interpretation of remote sensing images, we have successfully created a database of landslides. The inventory of landslides includes a total of 169,888 large‐scale landslides, covering a combined area of approximately 1575 km2. The average size of these landslides is approximately 92,734 m2. The scale of these landslides varies widely, with the smallest individual landslide covering an area of 166.25 m2 and the largest reaching 12.9 km2. Upon examining areas with frequent landslides, it was observed that landslides are usually densely distributed along riverbanks or within valleys. Landslide development is also dense in areas prone to frequent historical earthquakes. This comprehensive database provides essential data to support the analysis of spatial distribution patterns of large‐scale landslides in the Qinling Mountains. It also facilitates landslide assessments and serves as a reference for the prevention and control of landslide disasters in the area.
Comprehensive analysis of synthetic learning applied to neonatal brain MRI segmentation
Authors: Valabregue R. , Girka F. , Pron A. , Rousseau F. , Auzias G. 
Published: April 2024

AbstractBrain segmentation from neonatal MRI images is a very challenging task due to large changes in the shape of cerebral structures and variations in signal intensities reflecting the gestational process. In this context, there is a clear need for segmentation techniques that are robust to variations in image contrast and to the spatial configuration of anatomical structures. In this work, we evaluate the potential of synthetic learning, a contrast‐independent model trained using synthetic images generated from the ground truth labels of very few subjects. We base our experiments on the dataset released by the developmental Human Connectome Project, for which high‐quality images are available for more than 700 babies aged between 26 and 45 weeks postconception. First, we confirm the impressive performance of a standard UNet trained on a few volumes, but also confirm that such models learn intensity‐related features specific to the training domain. We then confirm the robustness of the synthetic learning approach to variations in image contrast. However, we observe a clear influence of the age of the baby on the predictions. We improve the performance of this model by enriching the synthetic training set with realistic motion artifacts and over‐segmentation of the white matter. Based on extensive visual assessment, we argue that the better performance of the model trained on real T2w data may be due to systematic errors in the ground truth. We propose an original experiment allowing us to show that learning from real data will reproduce any systematic bias affecting the training set, while synthetic models can avoid this limitation. Overall, our experiments confirm that synthetic learning is an effective solution for segmenting neonatal brain MRI. Our adapted synthetic learning approach combines key features that will be instrumental for large multisite studies and clinical applications.
Assessing social vulnerabilities of salivary gland cancer care, prognosis, and treatment in the United States
Authors: Bindra Govind S. , Fei‐Zhang David J. , Desai Atharva , Maddalozzo John , Smith Stephanie S. , Patel Urjeet A. , Chelius Daniel C. , D'Souza Jill N. , Rastatter Jeffrey C. , Gillespie M. Boyd , Sheyn Anthony M. 
Published: April 2024

AbstractBackgroundSalivary gland cancers (SGC)‐social determinants of health (SDoH) investigations are limited by narrow scopes of SGC‐types and SDoH. This Social Vulnerability Index (SVI)‐study hypothesized that socioeconomic status (SES) most contributed to SDoH‐associated SGC‐disparities.MethodsRetrospective cohort of 24 775 SGCs assessed SES, minority‐language status (ML), household composition (HH), housing‐transportation (HT), and composite‐SDoH measured by the SVI via regressions with surveillance and survival length, late‐staging presentation, and treatment (surgery, radio‐, chemotherapy) receipt.ResultsIncreasing social vulnerability showed decreases in surveillance/survival; increased odds of advanced‐presenting‐stage (OR: 1.12, 95% CI: 1.07, 1.17), chemotherapy receipt (OR: 1.13, 95% CI: 1.03, 1.23); decreased odds of primary surgery (0.89, 0.84, 0.94), radiotherapy (0.91, 0.85, 0.97, p = 0.003) for SGCs. Trends were differentially correlated with SES, ML, HH, and HT‐vulnerabilities.ConclusionsThrough quantifying SDoH‐derived SGC‐disparities, the SVI can guide targeted initiatives against SDoH that elicit the most detrimental associations for specific sociodemographics.
Assessing the risk of metabolic syndrome and diabetes in relation to Hookah smoking: Evidence from a cohort study in Southern Iran
Authors: Shahabi Nahid , Rafati Shideh , Kakhaki Hadi Eshaghi Sani , Soleimani Farshid , Zamaninasab Fatemeh , Saboohi Zahra , Nejatizadeh Azim , Dadipoor Sara 
Published: April 2024

AbstractBackgroundHookah smoking has pointedly increased worldwide and could have different harmful health effects. However, long term hookah smoking effects on chronic diseases has not been well studied. This study was aimed to investigate the relationship between hookah smoking with metabolic syndrome and diabetes.MethodsIn this prospective study, the baseline data from 3695 participant (35−70 years old) of Bandar‐e‐Kong cohort study in Hormozgan province, Iran were used. In this study, data were collected through the questionnaires designed in the Kong cohort study and 25 mm of blood sample. All analyses were performed using SPSS version 27.0 and the ggplot2 package in RStudio version 2023.06.1 + 524. p < 0.05 was considered a significant difference.ResultsThe prevalence of hookah smoking was 17.3% in total. Also, the prevalence of metabolic syndrome, diabetes, hypertension, and dyslipidemia were 35.6, 15.2, 31.2, and 78.0%, respectively. Our results showed that there were statistically significant relationship between hookah smoking and metabolic syndrome, hypertension and diabetes (p < 0.05). In the case of dyslipidemia, hookah smoking was also associated with increase in dyslipidemia (p < 0.05).ConclusionsMore evidence is needed to understand the mechanism of hookah smoking and these health effects. As well as, health education and increasing public awareness about the health effects of hookah smoking and implementation of smoking prohibition policies are highly recommended.
Upsurge of dengue outbreaks in several WHO regions: Public awareness, vector control activities, and international collaborations are key to prevent spread
Authors: Sarker Rapty , Roknuzzaman A. S. M. , Haque Md. Aminul , Islam Md. Rabiul , Kabir Eva Rahman 
Published: April 2024

AbstractBackgroundDengue, the world's fastest‐growing vector‐borne disease, has skyrocketed in the 21st century. Dengue has harmed human health since its first known cases among Spanish soldiers in the Philippines to its 21st‐century outbreaks in Southeast Asia, the Pacific, and the Americas. In light of the current circumstances, it is imperative to investigate its origin and prevalence, enabling the implementation of effective interventions to curb the upsurge.MethodsOur study examines the history of dengue outbreaks, and evolving impact on public health, aiming to offer valuable insights for a more resilient public health response worldwide. In this comprehensive review, we incorporated data from renowned databases such as PubMed, Google Scholar, and Scopus to provide a thorough analysis of dengue outbreaks.ResultsRecent dengue outbreaks are associated with rapid urbanization, international travel, climatic change, and socioeconomic factors. Rapid urbanization and poor urban design and sanitation have created mosquito breeding places for dengue vectors. Also, international travel and trade have spread the pathogen. Climate change in the past two decades has favored mosquito habitats and outbreaks. Socioeconomic differences have also amplified the impact of dengue outbreaks on vulnerable communities. Dengue mitigation requires vector control, community engagement, healthcare strengthening, and international cooperation.ConclusionClimate change adaptation and urban planning are crucial. Although problems remain, a comprehensive vector control and community involvement plan may reduce dengue epidemics and improve public health in our interconnected world.
Split doses versus whole dose bowel preparation using polyethylene glycol for colonoscopy: A multicentric prospective Lebanese randomized trial between 2021 and 2023
Authors: Sara Blaybel , Ghinwa Hammoud , Layla Mourda , Mahmoud Hallal , Ali Khalil , Remy Mckey 
Published: April 2024

AbstractBackground and AimsBowel preparation is considered as major obstacle before colonoscopy, and it is often reported as the most feared part of the procedure. The aim of this study is to determine the difference in efficacy between a split dose of PEG and the previous day regimen in cleaning the colon, using Boston bowel preparation scale. In addition, also to evaluate patient satisfaction regarding the modality of preparation.MethodsThe study included 200 hospitalized patients undergoing colonoscopy at Beirut hospitals between 2021 and 2023. One of the two regimens will be prescribed randomly to the patients before colonoscopy: 98 (49%) in Group A (patients treated with PEG preparation as a split dose for 2 days), and 102 (51%) in Group B (patients taking PEG preparation as a whole dose). Data was analyzed using SPSS version 25.ResultsPatients were distributed between 105 (52.5%) males and 95 (47.5%) females. The top two indications for colonoscopy were bleeding (34%), change in bowel habits (constipation/diarrhea) (32%). Patients experienced adverse events noting cramps (48.5%), stomach ache (32%), headache (31%), vomiting (53%), nausea (53%), sleep disturbance (27%), bloating (26.5%), and malaise (26%). A statistically significant difference (p = 0.040) was detected in sleep disturbance: 20.4% of patients in group A and 33.3% of patients in group B. The average satisfaction score was 3.02 ± 1.03 over 4 (Group A) and 3.04 ± 0.99 over 4 (Group B) (p = 0.896). The average BBPS was 8.07 ± 1.14 (Group A) and 8.28 ± 1.0 (Group B) (p = 0.162).ConclusionThe two administrations were almost similar in term of satisfaction and BBPS. As multiple factors like age, sexe, comorbidities may contribute in altering how much a given drug is safe and efficace, more research is needed to choose the best 3regimen for each patient.
Radiative cooling: Experimental and numerical analysis for enhanced thermal management strategies in engineering systems
Authors: Güler Birkut 
Published: April 2024

AbstractThis study aims to fully evaluate the radiation effect in existing cooling systems. The research, a combination of experimental analysis and numerical simulations using ANSYS Fluent, examines the complexity of radiative cooling processes and their impact on thermal management in various engineering applications. The experiments began by carefully placing a 112.5 W heater into the thermal channel. Next, temperature measurements were made under various conditions. In particular, the use of black cotton fabric as the inner duct lining applied in the thermal channel stands out as an innovation that aims to optimize heat absorption by increasing radiative properties. The findings highlight the significant impact of radiation on cooling performance. A temperature drop of 2–3°C was observed in cooling under the effect of radiation. Additionally, numerical simulations reveal the feasibility of radiative cooling systems by providing valuable information about the flow dynamics and heat transfer mechanisms within the channel. The novelty of this work is its detailed examination of radiative cooling effects and its focus on its potential to optimize thermal management strategies in various engineering applications. Explaining the role of radiation in heat transfer and providing practical information to improve cooling efficiency demonstrates that this research brings important insight and lays the foundation for future advances in the field. Considering the urgent need for energy‐efficient cooling solutions and the increasing demand for sustainable engineering practices, the findings of this study will provide important insights for researchers and practitioners. This study provides innovative perspectives and solutions to address the increasing challenges of heat transfer and energy conservation in engineering systems. It makes a significant contribution to the field of thermal management by offering methodologies.
Association between serum 25‐hydroxyvitamin D level and inflammatory markers in hemodialysis‐treated patients
Authors: Luo Chunlei , Bian Xueyan , Bao Lingling , Xu Qingqing , Ji Chunyang 
Published: April 2024

AbstractObjectiveTo investigate the relationship between serum 25‐hydroxyvitamin D (25(OH)D) level with novel inflammatory markers in hemodialysis‐treated patients.MethodsA total of 167 maintenance hemodialysis‐treated patients were enrolled in this cross‐sectional study. The patients were divided into vitamin D deficiency (a serum 25(OH)D level <20 ng/mL) and nondeficiency (a serum 25(OH)D level ≥20 ng/mL) groups. The neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and monocyte to lymphocyte ratio (MLR) were calculated by the complete blood cell count. The relationship between 25(OH)D level with other parameters was assessed by bivariate correlation analysis and linear regression analysis.ResultsThere were significant differences between the two groups in terms of age, diabetes, levels of albumin, creatinine, high‐density lipoprotein cholesterol (HDL‐C) and low‐density lipoprotein cholesterol (LDL‐C) as well as NLR and MLR (p = .004, p = .031, p < .001, p = .043, p = .008, p = .006, p = .002, and p < .001, respectively). There exist negative correlations between serum 25(OH)D level with age, diabetes, alkaline phosphatase level, NLR, PLR, and MLR (p = .002, p = .002, p = .037, p = .001, p = .041, and p < .001, respectively) and positive correlations between serum 25(OH)D level with albumin level, creatinine level, phosphorus level, HDL‐C, and LDL‐C (p < .001, p < .001, p = .013, p = .02, p = .002, respectively). Multiple analysis results showed that sex, diabetes, albumin level and NLR were independently associated with serum 25(OH)D level (p = .021, p = .015, p = .033, and p = .041, respectively). High values of NLR and MLR were associated with patients with serum 25(OH)D deficiency. There were negative interplays between serum 25(OH) D level with NLR, PLR, and MLR and also an independent association between serum 25(OH) D level with NLR.ConclusionCollectively, serum 25(OH)D level has a negative correlation with inflammatory markers.
Study on the mechanism of miRNAs on liver injury in the condition of Protoscocephalus alveolarus transhepatic portal vein infection
Authors: Zhu Yazhou , Li Ming , Li Zihua , Song Jiahui , Zhao Wei 
Published: April 2024

AbstractObjectiveTo explore the role of miRNA in liver damage caused by Echinococcus multilocularis infection.MethodsSix female C57BL mice were randomly divided into two groups, the control group and the infection group. Mice in the control group were injected with 100 μL PBS through the hepatic portal vein, and mice in the infection group were infected with E. multilocularis via the hepatic portal vein to establish a mouse model of infection. Small RNA sequencing was performed for detecting the expression of miRNAs in the liver of mice infected with 2000 E. multilocularis after 3 months of infection, screen out miRNAs related to liver damage, and verify by RT‐PCR.ResultsSeventy‐one differentially expressed miRNAs were found in the liver in comparison with control, and a total of 36 mouse miRNAs with |FC| >0.585 were screened out, respectively. In addition, Targetscan (V5.0) and miRanda (v3.3a) software were used to predict differential miRNAs target genes and functional enrichment of target genes. Functional annotation showed that “cytokine‐cytokine interaction,” “positive regulation of cytokine production,” “inflammatory response,” and “leukocyte activation” were enriched in the liver of E. multilocularis‐infected mice. Moreover, the pathways “human cytomegalovirus infection,” “cysteine and methionine metabolism,” “Notch signaling pathway,” and “ferroptosis” were involved in liver disease. Furthermore, four miRNAs (mmu‐miR‐30e‐3p, mmu‐miR‐203‐3p, mmu‐miR‐125b‐5p, and mmu‐miR‐30c‐2‐3p) related to liver injury were screened and verified.ConclusionThis study revealed that the expression profiling of miRNAs in the livers was changed after E. multilocularis infection, and improved our understanding of the transcriptomic landscape of hepatic echinococcosis in mice.
Natural killer cell subsets and their functional molecules in peripheral blood of the patients with breast cancer
Authors: Darvishvand Reza , Rezaeifard Somayeh , Kiani Razie , Tahmasebi Sedigheh , Faghih Zahra , Erfani Nasrollah 
Published: April 2024

AbstractBackgroundNatural killer (NK) cells, CD3− lymphocytes, are critical players in cancer immune surveillance. This study aimed to assess two types of CD3− NK cell classifications (subsets), that is, convectional subsets (based on CD56 and CD16 expression) and new subsets (based on CD56, CD27, and CD11b expression), and their functional molecules in the peripheral blood of patients with breast cancer (BC) in comparison with healthy donors (HDs).MethodsThirty untreated females with BC and 20 age‐matched healthy women were enrolled. Peripheral blood samples were collected and directly incubated with fluorochrome‐conjugated antibodies against CD3, CD56, CD16, CD27, CD11b, CD96, NKG2C, NKG2D, NKp44, CXCR3, perforin, and granzyme B. Red blood cells were then lysed using lysing solution, and the stained cells were acquired on four‐color flow cytometer.ResultOur results indicated 15% of lymphocytes in peripheral blood of patients with BC and HDs had NK cells phenotype. However, the frequency of total NK cells (CD3−CD56+), and NK subsets (based on conventional and new classifications) was not significantly different between patients and HDs. We observed mean fluorescent intensity (MFI) of CXCR3 in total NK cells (p = .02) and the conventional cytotoxic (CD3−CD56dim CD16+) NK cells (p = .03) were significantly elevated in the patients with BC compared to HDs. Despite this, the MFI of granzyme B expression in conventional regulatory (CD3−CD56brightCD16−/+) NK cells and CD3−CD56−CD16+ NK cells (p = .03 and p = .004, respectively) in the patients was lower than healthy subjects.ConclusionThe higher expression of chemokine receptor CXCR3 on total NK cells in patients with BC may be associated with increased chemotaxis‐related NK cell infiltration. However, lower expression of granzyme B in conventional regulatory NK cells and CD3−CD56−CD16+ NK cells in the patients compared to HDs suggests reduced cytotoxic activity of the NK cells in BC. These results might demonstrate accumulating NK subsets with a dysfunctional phenotype in the peripheral blood of patients with BC.