bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Function of HDAC6 Mediated Prx2 Acetylation in Neuronal Apoptosis Related Alzheimer's disease
Authors: Zhang Lijie , Hu Jinxia , Zhang Tao , Gao Huimin , Wu Xingrui , Zhang Conghui , Zhang Cheng , Chen Hao , Yang Minggang , Cao Xichuan , Cui Guiyun , Xiang Jie 
Published: May 2024

Abstract

The role of histone deacetylases 6 (HDAC6) in the treatment of neurodegenerative diseases, including Alzheimer's disease (AD), has been extensively studied. Inhibiting and reducing HDAC6 expression has been found to improve cognitive function in AD mice models. Peroxidase 2 (Prx2), an antioxidant enzyme and substrate of HDAC6, is known to provide protection against oxidative stress-induced cell death. This study aims to investigate the effect of the HDAC6-Prx2 signaling pathway on cognitive function and neuronal apoptosis in AD models both in vitro and in vivo. Our results show that the HDAC6-Prx2 association can reduce neuronal apoptosis in the hippocampus and thereby improve learning and memory function in AD mice models. Reduction in HDAC6 levels enhances the acetylated level of Prx2, leading to an increase in its antioxidant capacity. Additionally, acetylated Prx2-mediated reactive oxygen species (ROS) generation is closely linked to neuronal apoptosis. By increasing the acetylation levels of Prx2, ROS levels can be reduced, thereby reducing neuronal apoptosis due to HDAC6 inhibition. Our findings suggest that reduced acetylation levels of Prx2, regulated by HDAC6, may contribute to the neuronal apoptosis and cognitive impairments observed in AD. Therefore, reducing HDAC6 and enhancing the Prx2 acetylation level may be an effective treatment strategy for ameliorating cognitive function in AD mice models.
Metabolic syndrome prediction models using only lifestyle information based on nationwide survey data
Authors: Yu Seunghyeon , Lee Haeun , Yune Ilha , Jung Se Young , Hwang Hyungju 
Published: May 2024

Abstract

Introduction: Metabolic syndrome (MetS) is increasingly prevalent worldwide and under-addressed, with emerging interest in using mobile technology for health management. Effective interventions hinge on reliable prediction models. Objectives: This study aims to develop an algorithm to estimate MetS risk using only lifestyle factors and assess its impact on patient screening and quality of life enhancement. Methods: Utilizing data from the Korean National Health and Nutrition Examination Survey (2010–2018), we trained three non-invasive classifier models—artificial neural network (ANN), XGBoost, and LightGBM—for binary classification. We evaluated model performance using sensitivity, specificity, AUROC, and AUPRC metrics and explored quality-adjusted life years (QALYs) improvements. Results: Machine learning models demonstrated superiority over traditional logistic regression, with LightGBM achieving the highest AUROC and accuracy (AUROC 0.84; accuracy 0.74). Decision curve analysis highlighted significant differences in external datasets. MetS severity was strongly associated with QALYs (p < 0.0001), predicting substantial QALY gains across MetS categories. Conclusion: The developed model enhances MetS risk assessment accuracy and underscores the importance of incorporating gender-specific factors in predictive models.
A clinical study on pregnant women with anti-SSA and/or anti-SSB antibodies in China
Authors: Zhang Xiaoxin , Kou Xi , Zhou Renyi , Yu Daier , Zhao Aimin 
Published: May 2024

Abstract

Backgroud: To investigate the relevance of anti-SSA and/or anti-SSB antibodies to pregnancy in Chinese patients.
Methods: This retrospective study proceeded at Ren Ji Hospital, Shanghai, China, from January 2018 to December 2020. 476 patients with anti-SSA and/or anti-SSB antibodies and 100 healthy donors were enrolled. The studying groups are divided into 5 subgroups: Ro 52 group, Ro 60 group, Ro 52 + Ro 60 group, SSB group, and SSA+ SSB group. The distribution characteristics of anti-SSA and anti-SSB antibodies as well as the relevance of anti-SSA and anti-SSB antibodies to adverse pregnancy history were recorded.
Results: There was no significant difference in age and BMI between the study groups and the control group, p＞0.05. Among 476 patients, 469 (98.5%) were anti-SSA antibody-positive including Ro 52 positive 20.4% (97/476), Ro 60 positive 34.9% (166/476), Ro 52+Ro 60 29.8% (142/476). 7 were anti-SSB antibody positive (1.5%). Both anti-SSA and anti-SSB positive was 13.4% (64/476). The most common adverse pregnancy history in the study groups was intrauterine death (>20 gw). Previous CHB all occurred in SSA + SSB group. SS is the most common diagnosis of anti-SSA and/or anti-SSB antibodies-positive patients; The rate of therapeutic abortion and preterm birth was higher than in the control group, while the gestational week of delivery and neonatal weight was significantly lower than the control group, p＜0.05.
Conclusion: Anti-SSA and/or anti-SSB antibodies increase the risks of obstetric complications and poor outcomes of pregnancy.
Context Aware Workflow for Modern Machines and It’s Environmental Safety With Aiot
Authors: Karthikeyan P , Geetha S , Shanmugam M , Vengadanathan M 
Published: May 2024

Abstract

Context-aware is a system or technology that is able to understand and respond to the current situation or environment. The current problem lies in the excessive absorption of productive resources, which has a negative impact on all productive processes. Such strong suction can damage the internal parts of the machine and reduce the quality of the final product. The production process affects the input properties of the material, which affects the damage to the internal components of the machine. As a result, the quality of manufactured products decreases due to damage caused by users. Industrial machinery breaks its internal components due to the strong absorption of manufacturing materials. In the field of industrial machines, it is important to solve problems due to the high energy of materials, production failures, internal damage, and lack of quality. To correct the damage to the internal components of industrial machines, it is important to focus on the use of high-performance components. The use of durable and strong materials greatly reduces the risk of damage to internal components. In general, by investing in advanced technologies, optimizing production processes, and focusing on the use of high-quality components, it is possible to recover from the problems caused by high-quality materials and avoid the operation of industrial machines, internal damage, and a lack of quality.
Combined Geophysical and Soil Test Analysis Methods for Soil Precision Mapping in The Delta State University CES Farm Abraka Nigeria
Authors: Ofomola Merrious Oviri , Abriku Ezekiel Onoriode , Utieyin Bright Saturday , Otheremu Precious Okeoghene , Anomohanran Ochuko 
Published: May 2024

Abstract

Geophysical methods and soil test analysis have been used to study soil properties in the farm of the Centre for Entrepreneurial Studies (CES), Delta State University Abraka Nigeria. Vertical electrical sounding (VES), borehole geophysics, electrical resistivity tomography (ERT) and geochemical methods were used for the study. Seven VES stations were occupied along five traverses used for ERT measurements. Samples of soil close to the VES stations were taken for soil testing and study of grain size to corroborate the results of VES and ERT. The low resistivity of the topsoil obtained from the VES agrees with the ERT and borehole log results and this ranges from fine grained silt topsoil to sandy clay. This is a product of partial decomposition of plants and animals forming organic matter, and ranges from 168–790 Ωm with mean value of 494 Ωm and average depth of 2.3 m. This depth covers the upper root region of some important crop and depict a high amount of moisture and mineral nutrients, and a fair degree of stoniness to aid adequate rooting of the crops. Also, the observed topsoil is high in porosity and water retention which are major suitable factors for the yield of tuber and stem plants. The soil test results gave pH: 6.13–7.16, organic matter: 6.48–8.66%, Nitrogen: 65.72–78.21%, Phosphorus: 53.32–67.43%, Copper: 14.16–22.61 mg/kg, Nickel: 1.16–3.11 mg/kg, Lead: 4.00-8.84 mg/kg, Arsenic: 0.08–0.1 mg/kg Iron: 96.33-151.63 mg/kg. These recorded concentrations are below the WHO standard for crop production.
A simulation-based analysis for the road freighttransport decarbonization: A case study of Colombia
Authors: Gil Cristiam , Rey-Ladino Andres , Wilmsmeier Gordon , Montes Ana Maria , Demir Emrah , Sanchez-Rodrigues Vasco , abouarghoub Wessam 
Published: May 2024

Abstract

This study introduces a simulation-based analysis of the decarbonization options for the road freight transport sector. It focuses on exploring the impact of operational and management measures on fleet renewal strategies aimed at achieving net zero goals by 2050. The proposed approach integrates current and planned future policy changes, operational practices, and technology renewal into the modeling process to offer a macro-level perspective on the decarbonization challenge. Specifically, the proposed modeling approach takes into account the reduction of empty trips, the optimization of cargo consolidation, and the promotion of eco-driving practices based on national freight transport data (i.e., covering more than 7.99 million trips). The proposed approach examines the effect of introducing contemporary vehicle technologies, such as new diesel vehicles (EURO VI or higher), new natural gas vehicles (EURO VI or higher), electric vehicles and hydrogen vehicles, as feasible replacements for aging vehicles powered by conventional fossil fuels. The adoption of these cleaner and newer technologies demonstrates the potential for emissions reductions of up to 13% (2,070,000 tons CO2e) by 2030 and 47% (13,232,000 tons CO2e) by 2050. In addition, the results obtained from this research can serve as an exemplary case study for other emerging economies.
Risk Assessment of As, Cd, Cr, and Pb via the Consumption of Seafood in Haikou
Authors: Lin Huimin , Luo Xinru , Yu De’e , He Changhua , Cao Wenting , He Limin , Liang Zhennuan , Zhou Jing , Fang Guihong 
Published: May 2024

Abstract

In order to mitigate the risk of excessive heavy metal intake, a study was conducted to assess the levels of arsenic (As), cadmium (Cd), chromium (Cr), and lead (Pb) contamination in 23 edible seafood species obtained from markets in Haikou. The findings were analyzed to evaluate the potential health hazards posed to the local population through consumption. The metals were detected via inductively coupled plasma mass spectrometry (ICP-MS) for quantification. The non-carcinogenic and carcinogenic health risks in humans were assessed via target hazard quotient (THQ), combined target hazard quotient (CTHQ), and target cancer risk (TR). The results indicated that the rank order based on the median metal concentration was As > Cd > Cr > Pb. THQ and CTHQ showed that nine seafood species posed a non-carcinogenic risk regarding from As and Cd consumption separately, or the four targeted metals ingestion together. TR assessment indicated that the inorganic arsenic (InAs) in all the species presented a carcinogenic risk to coastal residents. The Cd content in bivalves, algae, and several crustacean(Mantis Shrimp, Orchid Crab, Redspot Swimming Crab) and fish species(Japanese Scad, Pacific Saury), and Cr levels in most bivalve species(Razor Clams,White Clams, Fan Shells, Oysters, Blood Clams) presented a carcinogenic risk. The As, Cd, Pb, and Cr levels of seafood in Haikou were assessed species presented a potential health risk. Necessitating stricter risk should be management and detection capability and monitoring will be improved.
Classification of Phonocardiogram Signals Using the Wavelet Scattering Transform and Equilibrium Optimization Approach
Authors: Ismael Mustafa R. , Abd Haider J. , Homod Raad Z. 
Published: May 2024

Abstract

Heartbeat sounds serve as biological signals that aid in the early identification of cardiovascular conditions. Phonocardiograms (PCG), which are recordings of digital heartbeat sounds, are employed for the identification and automated categorization of potential heart ailments. This research presents a technique for categorizing heart sounds by combining WST (Wavelet Scattering Transform) & EO (Equilibrium Optimization). The signal of cardiac sound can be divided into 2 main kinds, abnormal & normal, concerning the signal of PCG. This work analyzes the characteristics of the phonocardiogram signal and subsequently employs machine learning methods to classify these features. During the feature-extracting process, we employed wavelet scattering in conjunction with the equilibrium optimizer method. We utilized the K-Nearest Neighbor (KNN) classifier for the purposes of learning and categorization. The experiments aimed to assess the impact of the optimization technique on the algorithm's performance, demonstrating its effectiveness. The findings revealed that our method achieved an accuracy of 99.5% when applied to the PCG dataset in distinguishing abnormal heart sounds from normal ones, surpassing the performance of all previous methods.
Rapid growth of acquired UBA1 mutations predisposes male patients to low-risk MDS
Authors: Li Peng , Fnu Alnoor , Xie Wei , Williams Margaret , Feusier Julie Feusier , Ding Yi , Zhao Xiangrong , Zheng Gang , Zhao Chen , Zieski Arthur , Zu Youli , Raess Philipp , Tantravahi Srinivas , Osman Afaf , Patel Ami , Tashi Tsewang , Patel Jay , Matynia Anna , Menon Madhu , Miles Rodney , Jacobsen Jeffrey , George Tracy , Sborov Douglas , Szankasi Philippe , Rindler Paul , Close Devin , Ohgami Robert 
Published: May 2024

Abstract

VEXAS (vacuoles, E1-ubiquitin-like modifier activating enzyme, X-linked, autoinflammatory, somatic) syndrome is a recently described autoinflammatory disorder caused by acquired UBA1 mutations in hematopoietic precursor cells. The prevalence, clinical significance, and genomic landscape of UBA1variants in patients with hematologic malignancies (HM) remains unexplored. We analyzed the genomic profiles of 86 patients carrying 17 different UBA1variants amongst an unbiased cohort of 8,976 HM patients. Specific genetic and clinical features seen more frequently in patients with UBA1 pathogenic variants (PV) versus those with variants of uncertain significance (VUS) included: marked male predominance (98% versus 80%, P=0.002), macrocytic anemia (MCV 105 ± 1.4 fl versus 96 ± 1.4 fl, p=0.01), frequent dominant clones without concurrent somatic variants (53% versus 15%, p=0.004), and association with molecularly distinct low-risk myelodysplastic syndrome (MDS; 13%) with superior overall survival (OS). Interestingly, while the genetic profiles of UBA1 PV patients resemble patients with clonal cytopenia of unknown significance (CCUS), rapid UBA1 clonal expansion predispose patients to convert to low-grade MDS with a notably hastened progression compared to UBA1 wild-type CCUS. This “clone surge to clinical stability” (CS) is a mechanism that emphasizes the unique pathobiology of UBA1mutations in VEXAS and supports it as a distinct entity.
Using continuous soil and plant water status sensors calibrated against stem water potential for irrigation scheduling – nectarine as a test case
Authors: Nevo Eyal , Rotbart Nativ , Slutsky Alexander , Wallach Rony , Gal Yoni , Naor Amos , Cohen Shabtai 
Published: May 2024

Abstract

This study investigated the use of on-site calibrated soil and plant based sensors for irrigation control in a nectarine (Prunus persica), orchard on heavy clay soil. Irrigation was applied according to predetermined mid-day stem water potential (SWP) thresholds for each of the three phenological stages of fruit development. Calibration of sensors relative to SWP was done in a drying and wetting plot in a separate part of the orchard. Irrigation was withheld in that plot for several periods of time during two seasons, allowing SWP of six nectarine trees to reach values of moderate water stress. The readings of continuous tensiometers, soil volumetric water content sensors and dendrometers were regressed on those of SWP at that time. Water stress thresholds were then calculated from the regressions and subsequently used for irrigation scheduling. The irrigation aimed to keep non-limiting conditions in stages Ⅰ and Ⅲ by keeping SWP at ~-0.9 MPa, and moderate water stress in stage Ⅱ by keeping SWP at ~-1.5 MPa. Adjustments were made weekly in five treatment plots for each sensor type, according to the thresholds. Results showed that tensiometers could be used for stages Ⅰ and Ⅲ, as they were highly sensitive to small changes in soil wetness. However, when stress was applied soil water tension exceeded the range of the tensiometer sensors at 30 cm depth.
Marine debris spectroradiometric analyses: an indoor laboratory experiment to drive future standard protocols
Authors: Corbari Laura , Minacapilli Mario , Ciraolo Giuseppe , Capodici Fulvio 
Published: May 2024

Abstract

Marine pollution is a growing global issue, impacting both marine ecosystem and human health. High quantities of debris, mainly composed by plastic items, have been identified both in the coastal area and in the sea environment. The difficulties to perform intensive in situ monitoring campaigns, especially in remote areas, could be overcome by the application of remote sensing techniques which can be effectively driven if the spectral signatures of the marine debris are known.
In this framework, harvested marine debris (plastic items especially) were collected from two sandy beaches and were spectrally characterized by implementing two indoor laboratory experiments. Due to lack of a scientific protocol concerning the spectral data acquisition, two illumination conditions were tested. The data acquired, employing the two setups, were compared and the spectral angle mapper index (evaluated among each sample and sand) allowed evaluating the influences of the illumination conditions on the possible outdoor detection using remote sensors. Outcomes evidenced that for around 20% of the samples, the setup played a role in the detection of the harvested debris. For the majority of the samples green, blue, red-edge and some infrared bands are suitable for the detection with the WorldView-3 resulting the more promising nowadays operating satellite platform.
Robust State Agreement in Switching Networks of Nonlinear Agents with Measurement Disturbances and Communication Delays
Authors: Wang Zhanxiu , Jin Zhenghong , Xu Jingwei , Bao Adiya , Li Hua 
Published: May 2024

Abstract

This paper deals with a class of nonlinear multi-agent system with communication delays and measurement disturbances under directed switching topologies. Based on the comparison principle and input-to-state stability (ISS), a novel methodology is provided to ensure that the robust state agreement problem can be solved in a fully distributed manner. With the union of the interconnection digraphs satisfying a mild connectivity assumption, we show that the global result for robust state agreement is obtained if the interaction functions are sector bounded and radially unbounded. If the condition on the interaction functions is relaxed, a local result for robust state agreement is developed. In addition, an asymptotic state agreement result is also proposed for the special case of multi-agent system with only communication delays. The effectiveness of the proposed theoretical results is validated by some numerical examples.
Burden and Disparities of Digestive Diseases in Sub-Saharan Africa
Authors: Ta’ani Omar Al , Al-Ajlouni Yazan , Tanashat Mohammad , Njei Basile 
Published: May 2024

Abstract

Introduction Digestive diseases (DD), such as cirrhosis, upper digestive diseases, inflammatory bowel disease, and pancreatitis, present a significant public health challenge in Sub-Saharan Africa (SSA). The prevalence and impact of these conditions vary widely, highlighting the challenges in managing DD within diverse health systems and sociocultural contexts. Despite their severe impact on morbidity and mortality, they have not garnered as much attention as diseases like HIV/AIDS or malaria. This study utilizes the Global Burden of Disease (GBD) dataset to provide a comprehensive epidemiological overview of DD in SSA, aiming to address gaps in current research and inform effective health policies and interventions.Methods Our study utilized data from the GBD dataset spanning 1990 to 2019, which offers extensive data on mortality, incidence, and disability-adjusted life years (DALYs) across 204 countries. We analyzed trends in the prevalence, deaths, and DALYs of DD, calculating percentage changes and estimated annual percentage changes (EAPCs) in age-standardized rates. Linear regression was employed to compute EAPCs, while Pearson correlation analyses were used to assess the relationships between EAPCs and socio-demographic indices.Results Our study documented a marked increase in total cases of digestive diseases from 1990 to 2019, with prevalence rising by 95.7% for males and 103.5% for females. However, age-standardized prevalence rates per 100,000 individuals declined by 6.9% for males and 7.2% for females. Age-standardized DALY rates for all digestive diseases decreased by 23.7%, and age-standardized death rates reduced by 20.6% for males and 22.1% for females. Specific conditions, such as cirrhosis, experienced significant declines in both DALY and death rates, with reductions of 25.9% and 30.7% for DALYs and 25.6% and 27.6% for death rates in males and females, respectively. The analysis revealed a significant correlation between the EAPCs of DALYs and the Universal Health Coverage (UHC) effective coverage index, with Pearson's r of -0.38 (p-value: 0.008).Conclusion Our study identified significant shifts in the prevalence of digestive diseases in Sub-Saharan Africa, with declines in conditions like cirrhosis and rises in inflammatory bowel disease, influenced by risk factors such as high BMI and drug use. These insights underscore the urgent need for tailored health policies and interventions that address both decreasing and newly emerging health challenges, enhancing public health strategies and ultimately improving health outcomes in the region.