bluuebunny/crossref_metadata_2025_split huggingface dataset:
Strategy for treating MAFLD: Electroacupuncture alleviates hepatic steatosis and fibrosis by enhancing AMPK mediated glycolipid metabolism and autophagy in T2DM rats
Authors: DUAN Haoru , Song Shanshan , Li Rui , Hu Suqin , Zhuang Shuting , liu Shaoyang , Li Xiaolu , Gao Wei 
Published: June 2024

Abstract

Background:Recent studies havehighlighted type 2 diabetes (T2DM) as a significant risk factor for the development of metabolic dysfunction-associated fatty liver disease (MAFLD). This investigation aimed to assess electroacupuncture's (EA) impact on liver morphology and function in T2DM rats, furnishing experimental substantiation for its potential to stall MAFLD progression in T2DM.Methods:T2DM rats were induced by a high-fat diet and a single intraperitoneal injection of streptozotocin, and then randomly assigned to five groups: the T2DM group, the electroacupuncture group, the metformin group, combination group of electroacupuncture and metformin, combination group of electroacupuncture and Compound C. The control group received a standard diet alongside intraperitoneal citric acid - sodium citrate solution injections. After a 6-week intervention, the effects of each group on fasting blood glucose, lipids, liver function, morphology, lipid droplet infiltration, and fibrosis were evaluated. Techniques including Western blotting, qPCR, immunohistochemistry, and immunofluorescence were employed to gauge the expression of key molecules in AMPK-associated glycolipid metabolism, insulin signaling, autophagy, and fibrosis pathways. Additionally, transmission electron microscopy facilitated the observation of liver autophagy, lipid droplets, and fibrosis.Results:Our studies indicated that hyperglycemia, hyperlipidemia and IR promoted lipid accumulation, pathological and functional damage, and resulting in hepatic steatosis and fibrosis. Meanwhile, EA enhanced the activation of AMPK, which in turn improved glycolipid metabolism and autophagy through promoting the expression of PPARα/CPT1A and AMPK/mTOR pathway, inhibiting the expression of SREBP1c, PGC-1α/PCK2 and TGFβ1/Smad2/3 signaling pathway, ultimately exerting its effect on ameliorating hepatic steatosis and fibrosis in T2DM rats. The above effects of EA were consistent with metformin. The combination of EA and metformin had significant advantages in increasing hepatic AMPK expression, improving liver morphology, lipid droplet infiltration, fibrosis, and reducing serum ALT levels. In addition, the ameliorating effects of EA on the progression of MAFLD in T2DM rats were partly disrupted by Compound C, an inhibitor of AMPK.Conclusions:EA upregulated hepatic AMPK expression, curtailing gluconeogenesis and lipogenesis while boosting fatty acid oxidation and autophagy levels. Consequently, it mitigated blood glucose, lipids, and insulin resistance in T2DM rats, thus impeding liver steatosis and fibrosis progression and retarding MAFLD advancement.
MPC1 regulates endotoxin tolerance of macrophages through mitochondrial oxidative stress resistance
Authors: Liu Yan , Qi Feng , Zeng Hongrui , Huang Dandan , Zhang Wenfeng , Zhang Yifan , Zhou Yun , Gong Jianping , Xiang Lunjian , Yi Zhujun 
Published: June 2024

Abstract

Increasing evidence highlights the crucial role of endotoxin tolerance in the regulation of the sepsis, yet its underlying mechanisms remain poorly understood. Here, we provide evidence to support a novel role for the mitochondrial pyruvate carrier1 (MPC1)-mediated mitochondrial oxidative stress resistance in regulation of endotoxin tolerance in macrophages. We observed a decrease in MPC1 expression in both in vitro and in vivo sepsis models, while LPS-tolerant macrophages exhibited increased MPC1 levels. Overexpression of MPC1 significantly reduced LPS-induced inflammatory responses and oxidative stress, suggesting its anti-inflammatory properties. Intriguingly, we found that overexpression of MPC1 did not foster endotoxin tolerance in macrophages. Furthermore, we found that overexpression of MPC1 inhibited mitochondrial oxidative stress resistance mediated by mitochondrial reactive oxygen species (mtROS), which weakened the resistance of macrophages to LPS secondary stimulation, and then inhibited endotoxin tolerance. Despite mtROS typically acting as pro-inflammatory mediators, our findings indicate that mtROS production, regulated via the SIRT3/SOD2 pathway, is essential for MPC1's control over mitochondrial oxidative stress resistance and endotoxin tolerance. Collectively, these findings uncover novel mechanisms through which MPC1 modulates inflammation and induces endotoxin tolerance, underscoring the potential of targeting MPC1 in sepsis treatment.
The intricate mechanism through which UMODL1 accelerating tumor proliferation of Her-2 positive breast cancer as well as trastuzumab resistance
Authors: Yu Hao , Man Sitong , Zheng Ang , Zhang Xinyang , Dong Minghui , Mu Xingpeng , Jin Zining , Zhang Lei , Chen Bo 
Published: June 2024

Abstract

Abstr act： Human epidermal growth factor receptor 2 positive breast cancer is characterized by the overexpression of the Her-2 receptor, rapid tumor growth, strong invasion ability, and high resistance to chemotherapy. Targeted drug therapies for this subtype include trastuzumab and pertuzumab; however, some patients still show resistance to these treatments. The Uromodulin-1-like (UMODL1) gene, also known as Olfactorin, has been identified as a prognostic indicator for survival in patients with esophageal squamous cell carcinoma, lung adenocarcinoma, and colorectal cancer. UMODL1 expression is increased in both Her-2 positive breast cancer cell lines and trastuzumab-resistant cell lines. Elevated UMODL1 promotes the proliferation and migration of breast cancer cells while reducing apoptosis; on the contrary, suppressed UMODL1 has opposite effects. UMODL1 upregulates the expression of Her-2 and binds with Her-2 heterodimers to activate downstream signaling pathways associated with Her-2 activation. This mechanism contributes to the development and progression of Her-2-positive breast cancer while also affecting trastuzumab resistance. In summary, these findings indicate that UMODL1 can serve as a prognostic indicator of survival in patients with Her-2 positive breast cancer while providing guidance on the use of trastuzumab.
Localization algorithm based on deep neural network and improved COA optimization
Authors: yu xiuwu , ye lai , liu yong , xiao lin 
Published: June 2024

Abstract

To improve the positioning accuracy of range-independent positioning algorithms in wireless sensor networks, a DV-Hop localization algorithm (DDCO) based on deep learning and improved crayfish optimization was proposed. Firstly, the dual communication radius subdivision of the minimum number of hops is introduced to reduce the error due to the number of hops; then the trained deep neural network model is used to correct the estimated distance to reduce the distance estimation error; finally, the random center of gravity inverse learning and the improved crayfish algorithm with nonlinear function are introduced to calculate the coordinates of the unknown nodes, and the global optimization capability of the intelligent algorithm is used to reduce the error generated by the DNN. The simulation results show that the positioning error of the DDCO algorithm is reduced by 54.4%, 23.4%, and 10.5%, respectively, compared with DV-Hop and other comparison algorithms under different communication radii. Under different beacon node densities, the error decreases by 46.2%, 24.2%, and 10.6%, respectively. Under different node densities, the error decreases by 49.6%, 30.3%, and 17.3%, respectively.
Advancing AI-Based Biometric Authentication in Multi-Criteria Decision Approach Using Complex Circular Intuitionistic Fuzzy Logic and Dombi Operators
Authors: Amin Munazza , Ullah Kifayat , Akram Maria , Imran Raiha , Nazeer Muhammad Safdar 
Published: June 2024

Abstract

In the realm of biometric authentication systems, the challenge of optimal selection underlies the necessity for a sophisticated decision-making framework capable of handling the inherent uncertainty and complexity. This paper introduces an advanced Multi-Criteria Decision-Making (MCDM) methodology that leverages Artificial Intelligence (AI) and Machine Learning (ML) principles, contained within the realms of Complex Circular Intuitionistic Fuzzy Set (C-CIFS) and Dombi Aggregation (DA) Operators. By synthesizing C-CIFS with Dombi operators, we propose a novel aggregation approach characterized by its capability to properly navigate through and aggregate the complicated criteria associated with biometric authentication systems. Our method, the Complex Circular Intuitionistic Fuzzy Dombi Weighted Average (C-CIFDWA) and the Complex Circular Intuitionistic Fuzzy Dombi Weighted Geometric (C-CIFDWG) operators are designed to enhance decision accuracy by effectively managing the nuances of circular intuitionistic fuzzy information. Through a series of comparative studies, including the exploration of radius and complex term impacts, our findings illustrate the superior performance and flexibility of our proposed operators against traditional models. The implementation of our approach within an AI-based framework not only paves the way for more secure and reliable biometric authentication systems but also sets a new standard for decision-making processes in uncertain and imprecise environments.
Extension of Tomato Shelf Life via Nitric Oxide Treatment Using Air Plasma
Authors: Park Joo Young , Lee Hyungyu , Baek Ki Ho , Song Jong-Seok , Park Seungil , Jee Sung Hoon , Jung Sunghoon , Lee Seunghoon , Park Sanghoo 
Published: June 2024

Abstract

Nitric oxide (NO) generation-enhanced atmospheric-pressure plasma technology has been investigated as a nonthermal intervention technology for prolonging the ripening period of tomatoes. UV-irradiated dielectric barrier discharge plasma reaches the NO-enhanced mode earlier, and NO is rapidly involved in the inhibition of tomato respiration. With as little as 26 W of power in total, the NO-processing of tomatoes using plasma technology helps control the postripening of tomatoes. The NO-enrichment mechanism was analyzed through numerical calculations, which revealed that the photolysis of ozone (O3) and nitrous acid (HONO) occurred during UV irradiation. The measured amount of CO2 emitted from plasma-treated tomatoes was ~ 300 ppm lower than that emitted from nontreated tomatoes, indicating that metabolism and respiration were inhibited. In addition, the NO-enhanced plasma treatment of tomatoes is considered to be more effective because the so-treated tomatoes emitted 100 ppm less CO2 than the plasma-treated tomatoes. The delay of respiration through plasma treatment can help prevent color changes or decreases in the firmness of tomatoes.
Can smart city construction reduce environmental pollution? Evidence from smart city pilot policy in China
Authors: Wang Shanyong , Lai Yancheng , Zhang Rongwei 
Published: June 2024

Abstract

The rapid development of digital technology has brought great changes to the whole society, and cities are therefore moving towards smart cities. The role of smart city construction on economic development is obvious. However, the environmental impact of smart city construction is still controversial and under-explored. To narrow the research gap, this research takes smart city pilot policy (SCP) as a quasi-natural experiment to explore the effect of smart city construction on environmental pollution, and a multi-period DID based on panel data of 236 prefecture-level cities in China from 2006 to 2020 has been considered. It is found that SCP reduces environmental pollution by 2.2% on average, and the results remain reliable after a series of robustness tests. The mechanism analysis indicates that SCP reduces environmental pollution through the synergistic management of the triple approach of promoting green innovation, optimizing industrial structure, and encouraging public participation. The heterogeneity analysis suggests that the environmental pollution reduction effect of SCP is more pronounced in eastern region and in regions with high administrative hierarchy, high level of human capital and information infrastructure. The spatial spillover effect analysis further shows that the environment in the cities surrounding the pilots can also benefit from SCP.
Suppression of CGRP and TRPV1 Expression in Dorsal Root Ganglia of Knee Osteoarthritis Rats by Huojing Decoction via TrkA/MKK3/6/p38 Pathway
Authors: Jiang Xinchao , Guo Yinyin , Fang Mei , Wang Xin , Zhang Biao , Song Yi , Qian Jianxue 
Published: June 2024

Abstract

Background
Knee osteoarthritis (KOA) is a chronic condition characterized by persistent pain that can lead to severe disability. In this study, we primarily investigated the analgesic effect of Huojing decoction on MIA-induced knee arthritis.
Methods
MIA was injected to induce KOA pain in rats. Huojing decoction was then administered once daily via intragastric administration for 14 days. Pain level was assessed by measuring the paw withdrawal threshold (PWT) and paw withdrawal latency (PWL). ELISA determined serum levels of TNF-α, IL-1β, and IL-6. The Dorsal Root Ganglia (DRG) of L4 and L5 were collected from rats. TRPV1 and CGRP were detected through immunohistochemistry and immunofluorescence. The protein expression of TrkA, MKK3/6, and p38 was assessed by Western blot, and q-PCR measured the mRNA expression of TNF-α, IL-1β, and IL-6.
Results
Mechanical allodynia and thermal hyperalgesia were observed in KOA rats. The expression levels of inflammatory cytokines IL-1β, IL-6, and TNF-α were significantly decreased after Huojing decoction administration of KOA rats. Furthermore, administration of Huojing decoction in rats significantly decreased the mRNA expression levels of IL-1β, IL-6, and TNF-α in DRG. TRPV1 and CGRP levels were reduced with treatment. Conversely, the protein expressions of TrkA, MKK3/6, and p38 in the DRG of rats were significantly decreased.
Conclusion
Our data suggested that Huojing decoction can alleviate inflammation in KOA pain rats. Additionally, it can inhibit the expression of TrKA, MKK3/6, and p38 signaling pathways, indicating its analgesic effect on KOA pain rats.
Spatial variations of soil seed banks in Shanghai’s urban wasteland: A gradient analysis of urbanization effects
Authors: XIA Siyi , ZHANG Shumeng , CUI Yichong , GAO Zhiwen , SONG Kun , Da Liangjun 
Published: June 2024

Abstract

Urbanization greatly impacts both the diversity of soil seed banks and the spatial dynamics of species. These seed banks, which hold seeds from current and past vegetation, are vital in shaping future plant diversity. They also serve as a window into the ecological history and potential for recovery in urban wastelands, which are continually evolving due to urbanization. In this study, we focused on the soil seed bank of wasteland in Shanghai China, by selecting 24 plots along urban-rural gradients. Soil samples were collected from each plot for seed bank germination experiment in both spring and autumn. We tested whether the seed density, species diversity, and composition of soil seed banks in wasteland varied along an urban-rural gradient. The results showed that seed density was higher in autumn than that in spring and no significant difference was found along urban-rural gradients. A total of 75 species, belonging to 26 families and 69 genera, was recorded in soil seed banks, in which annuals were the dominant life form and autochory was the dominant dispersal model. The proportion of exotic species was nearly 40%. There is no significant difference along urban-rural gradients for functional composition (i.e. the proportion of annual plant species, small growth type species, exotic species, and dispersal modes), species diversity (i.e. richness and Shannon-Wiener index), and species composition, excepting that marginal significant for autumn species composition among urban-rural gradients. The relative homogeneity in the seed bank across urban-rural gradients may primarily be due to the young age of the wastelands.
WITHDRAWN: Seismic Modelling of Complex Hydrocarbon Traps in Shot Domain and Data Processing to Obtain Stack-Migration Sections
Authors: Boğazkesen Şerife , Karslı Hakan 
Published: June 2024

Abstract

In this study, it is aimed to model the seismic reflection responses of structural and stratigraphic origin channel, anticlinal, normal fault, granite wash and bioherm type hydrocarbon traps, which are important in terms of hydrocarbon exploration, in a shot domain and to obtain stacking/migration sections. The calculation of the model data was carried out with the two-dimensional acoustic finite difference method due to its practicality of use, economic computational cost advantage and the possibility and convenience of selecting different trap models on arbitrary. For the trap models, artificial seismic reflection data of the shot domain were calculated and zero-offset sections were obtained by applying appropriate data processing techniques to these data. Thus, the effects of the geometry and discontinuities of the trap structure on the reflection waves were examined, the extent to which data processing applications contributed to the noise problems were tested, the initial geological model and zero-offset sections were compared, and the causes of the problems were discussed. In particular, scattering wave interference was found to adversely affect the choice of velocity in velocity analysis. In solving these problems, the advantages and disadvantages of pre-stack and post-stack migration processes were evaluated. Consequently, the modeling of pre-stack shot data instead of post-stack shot data, especially before a hydrocarbon exploration field study in complex geological environments, will increase the consistency of seismic section interpretations with the real geological structure and thus the reliability of the interpretation in the development of data processing workflows containing the most appropriate processing parameters.
Single/ Multi Beam Antenna Using Genus Holographic Surface for MIMO Applications
Authors: Eltersy Nermeen A. , Malhat Hend A. , Deen Saber Zainud 
Published: June 2024

Abstract

Single, and multi-beam genus hologram antennas are investigated using the high-impedance surfaces properties. The antenna consists of hexagonal patches of varying sizes arranged in a periodic pattern according to the required beams direction. The patches periodicity controls the direction and number of radiated beams from the array. Tapered microstrip transmission line is used to excite the antenna at its end. The proposed antenna has the ability of beam scanning from 33o to 64o at frequencies 13 to 17 GHz with peak gain of 20.6 dBi and high efficiency of 87%. Dual beam antenna at different angles of (θ1 = 30o, θ2 = 40o), (θ1 = 60o, θ2=-60o) are obtained at f = 15 GHz. Antenna with four beams at 120o, 60o, -60o, -120o is designed using a two layers genus structure with gain of 15.2 dBi at 16 GHz. The proposed hologram antenna is applied in MIMO structure with compact spacing between two antennas of 4.7 mm. Parasatic elements are used to reduce mutual coupling between MIMO antennas. The hologram antenna is studied in two conformal cases of longitudinal and transverse.
Does physical activity increase the smoking prevalence? Finding from URBAN-HEART2
Authors: Khamene Sima Shamshiri , MohammadKhawajah Izat , Karimi Keyvan , Danandeh Khashayar , Memari Amirhossein 
Published: June 2024

Abstract

Introduction
Unhealthy behaviors like smoking can be influenced by many socioeconomic factors. As they play an important role in social and individual health matters, it is important to identify the important risk factors of smoking and the relationship with physical activity (PA) to improve them. The aim of this study was evaluation of the relationship between different domains of PA and smoking with the moderators of sex, family income satisfaction, housing status and violence.
Method
This study was a comprehensive survey with a cross-sectional study in 22 districts and 368 neighborhoods of Tehran from 2011-2021. Data was analyzed by Stata 17. We evaluated the relationship between different type of PA (work-time, leisure-time and travel-time) and smoking with moderators mentioned above.
Result
Out of 7388 participants, the majority of them were male (83.75%) and married (77.6%). There was a significant relationship between smoking and gender, age, family income satisfaction, unemployment, family violence, education, housing status (P-value<0.001), and sufficient PA (P-value<0.005) in the specific analysis. Also, higher education was associated with more PA (P-value<0.001).
Conclusion
Sufficient work-time PA, being male, married, having an intermediate level of education, family violence, low family income satisfaction, not owning a house status and generally lower socioeconomic status (SES) can increase the smoking rate.
ECoDe: A Sample-Efficient Method for Co-Design of Robotic Agents
Authors: Nagiredla Kishan Reddy , V Arun Kumar A , Karimpanal Thommen George , Semage Buddhika Laknath , Rana Santu 
Published: June 2024

Abstract

Co-design involves simultaneously optimizing thecontroller and the agent’s physical design. Its inherent bi-level optimization formulation necessitates an outer loop designoptimization driven by an inner loop control optimization. Thiscan be challenging when the design space is large and eachdesign evaluation involves a data-intensive reinforcement learningprocess for control optimization. To improve sample efficiencywe propose a multi-fidelity-based design exploration strategy inwhich we tie the controllers learned across the design spacesthrough a universal policy learner for warm-starting subsequentcontroller learning problems. Experiments performed on a widerange of agent design problems demonstrate the superiority ofour method compared to the baselines. Additionally, analysisof the optimized designs shows interesting design alterationsincluding design simplifications and non-intuitive alterations thathave emerged in the biological world.
Securing Cloud Data for Efficient Keyword-Based Retrieval and Enhanced Privacy using Hybrid Encryption and DMBWO Optimization
Authors: Chaudhary Aakash 
Published: June 2024

Abstract

Recently, there has been an increasing reliance on cloud computing for storing and processing data, along with the need to ensure strong security and privacy measures. Current methods face difficulties in efficiently optimizing keyword generation, securing cryptographic keys, and improving data retrieval efficiency in cloud environments. Therefore, this paper introduces a methodology for securing and retrieving sensitive data in cloud computing. It starts with Keyword extraction from file using the Rapid Automatic Keyword Extraction (RAKE) algorithm, which ranks phrases based on their significance to select relevant keywords. Then, the Optimal Key Generation uses the Directional Mutated Beluga Whale Optimization (DMBWO) Algorithm to improve key generation and enhance cryptographic security. The Encryption phase employs the Hybrid Serpent Blowfish (HSB) Algorithm for robust data protection. For data retrieval, K-means clustering is used in the Upload phase to facilitate faster searches through organized data clusters, while a Lookup Table mechanism enhances search efficiency by associating keywords with encrypted data and creating trapdoors for secure user requests. Finally, in the Decryption phase, the HSB algorithm reverses encryption securely to ensure accessibility of data.