bluuebunny/crossref_metadata_2025_split huggingface dataset:
Downregulation of AdipoR1 in the hippocampus impairs synaptic function and structure and causes depression-like behavior
Authors: Tang Yong , Zhu Peilin , Luo Yanmin , Li Yue , Tang Jing , Liu Li , Deng Yuhui , Li Jing , Jiang Lin , Yang Wenyu , xiao qian , Wang Shun , Zhou Yuning , Chao Fenglei , Zhang Lei , Zhou Chunnu , Liang Xin 
Published: August 2024

Abstract

Previous studies have indicated that impaired synaptic plasticity is a main pathological alteration in depression. However, the mechanism underlying this pathological change has not been clarified. Adiponectin, an adipokines, crosses the blood-brain barrier to function in special brain regions. Previous studies have suggested that the downregulation of adiponectin signaling is involved in the occurrence of depression. Adiponectin receptors (AdipoRs), AdipoR1 and AdipoR2, which serves as the main receptors for adiponectin in the central nervous system, mediate the downstream biological effects of this compound, which has been reported to have positive effects on synaptic plasticity. However, it is not clear whether alternations in adiponectin/AdipoRs signaling are associated with impaired synaptic plasticity in depression. Therefore, the aim of this study was to investigate whether changes in the adiponectin/AdipoRs pathway in the hippocampus during depression are involved in the regulation of synaptic plasticity damage. We detected reduced plasma concentrations of adiponectin and lower expression levels of AdipoR1 but not of AdipoR2 in the hippocampus in mice exposed to the chronic unpredictable stress. Then, an adeno-associated virus was used to knockdown hippocampal AdipoR1 to further verify the effects of decreased expression levels of this receptor on depressive-like behaviors and hippocampal synaptic plasticity. We found that the mice in which hippocampal AdipoR1 was knocked down presented with anhedonia and passive stress-coping behaviors as well as a decreased number of dendritic spines and density of excitatory and inhibitory synapses. Our results suggest that the downregulation of AdipoR1 expression might be an important factor that causes impaired synaptic plasticity in depression. These results may provide new insights into the pathogenesis of depression and new therapeutic targets or treating the disease.
Evaluation of UAV-based 3D modeling methods for landslides under different route plans
Authors: wang Yunchuan , Li Jia , Sun Long , Duan Ping , Wang Rui 
Published: August 2024

Abstract

Currently, aerial photographs are acquired by unmanned aerial vehicles (UAVs) along preplanned flight routes, and a 3D model is constructed to investigate and measure the features of geological disasters. This work studies and evaluates the effectiveness and quality of three kinds of UAV routes used for landslide investigations by surveying a landslide in Luquan County, Kunming city, Yunnan Province. The advantages and disadvantages of 3D models based on the "horizontal round-trip route (HRr)", "terrain follow route (TFr)" and "inclined route (Ir)" methods were studied and compared through quality evaluation of the final products. The results show that the 3D models based on HRr and TFr have different degrees of distortion and blurring, while the 3D model based on Ir has a finer surface resolution, offers the best performance among the three routes, and can more truly capture the true surface of the survey features. Correspondingly, the checkpoint accuracies of the HRr, TFr, and Ir methods are 0.155 m, 0.064 m and 0.033 m, respectively, of which the 3D model based on Ir is the most accurate. This research indicate that inclined routes have better applicability in the investigation and monitoring of landslides.
Kinetics and Isotherm Studies of Dyes Degradation from Aqueous Solution by Green Synthesized Silver Nanoparticles (AgNPs) from Smooth Pigweed (AmaranthuS hybridus)
Authors: Bamigbade Akeem Adesina , Oduntan Kayode D. , Bamgbose Janet Titilayo 
Published: August 2024

Abstract

Malachite green adsorption from aqueous solution using silver nanoparticles (AgNPs) was investigated and is reported in this study. AgNPs prepared was characterized by Fourier transform Infra-red spectroscopy (FTIR), X-ray diffractometry (XRD), UV-visible spectrophotometer and Scanning electron microscopy (SEM). The crystalline nature of the AgNP was revealed with XRD. This was supported by the observed sharp four diffraction peaks with peaks intense appeared at 2θ = 38.09°, 44.15°, 64.67°, and 77.54°. However, the SEM micrograph of the synthesized AgNPs revealed the spherical shape of AgNPs with a non-uniform granular shape attributed to bio-mediated process. Whereas, FTIR spectra of AgNPs exhibits, 3407, 2956, 2834, 2725, 1660, 1358 and 1096 cm-1, which represent free OH molecules, stretching C-H modes, stretching alkenes C = O bonds, carbonyl group stretching C-OH band, stretching C-O alcohols and ethers, respectively. The adsorption study was carried out under different conditions such as, pH, adsorbent dosage, contact time, temperature and initial concentration of dye to determine the ideal conditions and the maximum adsorption capacities. The results indicated that increase in temperature had very minimal effect on the adsorption process. The silver nanoparticle was effective in the removal of malachite green in acidic medium. Langmuir, Freundlich and Tempkin model gave a better fit to adsorption isotherms while Dubinin Radushkevich model is not appropriate for the adsorption process. Adsorption kinetics of malachite green onto AgNPs adsorbents followed both the pseudo-first-order and pseudo-second-order rate. The results indicate that AgNPs could be utilized as effective adsorbents for the removal of dyes from aqueous solution.
The six-minute walk test in community-dwelling older adult women: influence of physical activity levels and age-related factors.
Authors: Peña Rocío Cogollos de la , Espí-López Gemma Victoria , Fuentes-Aparicio Laura , Monzani Lucas , Pavlu Dagmar , Arnal-Gómez Anna 
Published: August 2024

Abstract

Background and objectives
This study aimed to analyze cardiorespiratory variations in the six-minute walk test (6MWT) in older adult women based on their level of physical activity and age-related variables such as pain, sarcopenia, frailty, or motivation to exercise.
Methods
A total of 163 older adult women without cardiac or respiratory pathology and with musculoskeletal pain were included. They were classified according to their physical activity: high (HPA), moderate (MPA) and low (LPA). They performed the 6MWT test and their heart rate (HR), dyspnoea, and oxygen saturation (SaO2) were monitored. Their musculoskeletal pain, sarcopenia, frailty, and motivation to exercise were also assessed. A multivariate analysis of (co)variance with repeated measures (RM-MANCOVA) was performed.
Results
The results showed differences depending on their level of physical activity on HR, conditioned by sarcopenia (p < .05) and walked distance (p < .001), and in dyspnoea conditioned by pain perception (p < .01) and social (p < .001) and psychological motivation to exercise (p < .05). There were also differences in SaO2 depending on their level of physical activity (p < .0001). Differences were between HPA with both the MPA and LPA who had higher HR, higher dyspnoea, and lower SaO2 when conducting the 6MWT test.
Conclusions
When interpreting the results of a 6MWT in older adult women there are other factors that can interfere, and must be considered, in addition to their level of physical activity, such as pain, sarcopenia, and motivation to exercise, thus, influencing their cardiorespiratory outcomes.
Heart rate variability, a potential assessment tool for identifying anxiety, depression, and sleep disorders in elderly individuals
Authors: Liu Wenna , Wang Shutong , Gu Hanyang , Li Rong 
Published: August 2024

Abstract

Background
This study investigates how anxiety, depression, and sleep disorders impact heart rate variability (HRV) in the elderly, exploring the clinical implications of HRV changes.
Methods
We examined 355 patients (163 men, 192 women) at Xijing Hospital from July 2021 to December 2022 during health check-ups. Demographics were recorded, and emotional status was assessed using the Hamilton Anxiety Scale (HAMA) and the Hamilton Depression Scale (HAMD). The Pittsburgh Sleep Quality Scale (PSQI) evaluated sleep quality. Patients were categorized into groups A-G based on the presence of emotional states and sleep disorders. HRV indices—SDNN, SDANN, RMSSD, PNN50, LF/HF, LF, and HF—were analyzed using ANOVA and multivariate logistic regression.
Results
No statistically significant differences were observed in demographic, clinical, and lifestyle factors across the eight groups. Variables assessed included age, sex, body mass index (BMI), fasting blood glucose, glycated hemoglobin (HbA1c), blood lipids, blood pressure, heart rate, and histories of smoking and alcohol consumption. Additionally, the presence of hypertension, diabetes, coronary heart disease, marital status, income, and education level were evaluated, with all showing equivalence (P > 0.05). Significant differences in HRV indices were observed across groups, particularly in group G (patients with anxiety, depression and sleep disorders), which showed decreased HRV parameters except LF/HF, and group H (control group), which showed increased parameters, also except LF/HF (P < 0.01). Anxiety was an independent risk factor for reduced SDNN, SDANN, and LF (P ≤ 0.01), and increased LF/HF ratio (P < 0.01). Depression was linked to decreased SDNN, RMSSD, PNN50, and HF (P < 0.05). Sleep disorders independently predicted reduced PNN50 and SDANN (P < 0.01).
Conclusion
HRV indices of individuals with varying emotional states and sleep disorders exhibited varying degrees of decrease. Anxiety, depression, and sleep disorders presented a superimposed effect on HRV. Among these factors, sleep disorders have the least impact on HRV.
PerFedHypID: A Personalized Federated Hypernetworks based aggregation approach for Intrusion Detection Systems
Authors: Abhijit Chunduru , Jerusha Y Annie , P Syed Ibrahim S , Varadharajan Vijay 
Published: August 2024

Abstract

Traditional Network Intrusion Detection Systems (NIDS) face scalability challenges due to the vast amount of data generated by Internet of Things (IoT) devices, coupled with growing privacy concerns. Federated Learning (FL) emerges as a distributed, privacy-preserving learning paradigm that trains deep learning models locally, mitigating privacy risks associated with centralized data processing. However, conventional FL strategies entail limitations. First, they require all clients to use the same model architectures. This makes personalized learning harder, especially when there is non-IID (independent and identically distributed) heterogeneous data. Secondly, the weight aggregation process in FL introduces communication overhead, potentially slowing down aggregation. Also, even though there are encryption methods like homomorphic encryption and differential privacy, encrypted weights take more time to process and can be hacked to see how the data is distributed. This is especially true in dynamic IoT environments where attack types cause data distributions to change all the time. To address these challenges, we propose PerFedHypID: A Personalized Federated Hypernetworks-based aggregation strategy for Intrusion Detection Systems. Our approach incorporates embedding vectors instead of weights, which are lighter and offer enhanced personalization capabilities. PerFedHypID leverages personalized layers and hypernetwork aggregation for efficient and personalized model aggregation. We extensively evaluated our proposed system on the CSE-CICIDS-2018 dataset under various non-IID heterogeneous settings. Our results demonstrate robust performance compared to state-of-the-art personalized federated learning algorithms.
Comparative study of surgical management for medication-related osteonecrosis of the jaws
Authors: Curra Cláudia , Curi Marcos Martins , Koga Daniel Henrique , Almeida Gustavo de Paula , Silva Julia França da , Cardoso Camila Lopes 
Published: August 2024

Abstract

Purpose
The aim of the trial was to assess whether the use of platelet-rich plasma (PRP) improves surgical outcomes for medication-related osteonecrosis of the jaw (MRONJ) compared with treatment without PRP.
Methods
We evaluated the clinical outcomes of two surgical treatment modalities for MRONJ. Group 1 (15 patients/18 sites with MRONJ) underwent bone resection with platelet-rich plasma (PRP). Group 2 (16 patients/18 sites with MRONJ) underwent bone resection without the use of PRP. We analyzed the medical records of patients in both groups. The following information was collected: Patient age and sex, primary tumour/disease, type and duration of bisphosphonate, clinical staging of MRONJ, outcome of surgical treatment.
Results
There was no significant difference in treatment success between the groups (p = 0.221). No significant differences were found for other variables (duration of drug use, gender, clinical stage).
Conclusion
These results definitively show that the use of PRP at the surgical site is not a critical factor in the successful treatment of MRONJ.
An updated report of Phlebotomine sand fly fauna from Kousseri, visceral Leishmaniasis focus in Northern Cameroon
Authors: aime Tateng Ngouateu , Rostand Tebo Nzesseu Thierry , Bebe Ngouateu Omer , Cedrick Yamssi , Emmanuel Elanga N'dille , Cyrille Ndo , Michel Lontsi-Demano , Vincent Khan Payne , Andreas Krueger , Blaise Dondji 
Published: August 2024

Abstract

Data on the species composition of sand flies of Kousseri is out of date and there is no information on their role in disease transmission. In this context, a one-year survey, from September 2020 to August 2021 was conducted to update the species composition and detect Leishmania sp. infection in sand fly specimens. The checklist and distribution map of sand fly species from Cameroon are also mentioned. Sand fly specimens were collected monthly in five selected sites across Kousseri town using Centre for Disease Control and Prevention (CDC) miniature light traps. Only female specimens were morphologically identified to the species level based on valid diagnostic keys and tested for Leishmania donovani infection by polymerase chain reaction (PCR) targeting ITS1 at 350 bp using species-specific primers. A total of 2150 females were caught. Of these, eleven species belonging to three genera were identified: the genus Sergentomyia constituted 81.44% of collected sand flies versus 17.49% and 1.07% for the genera Grassomyia and Phlebotomus, respectively. To the best of our knowledge, this is the first report of Gr. inermis in Cameroon. Furthermore, five species including Se. clydei, Se. adleri, Se. schwetzi, Se. affinis vorax, and Gr. squamipleuris are herein listed for the first time in Kousseri. None of the female specimens tested for ITS-1 PCR were positive for Leishmania donovani infection. Further investigations are needed for a better assessment of the ecology of these sand fly species in order to provide reliable data for leishmaniases control and prevention in northern Cameroon.
National-Scale Analysis of Transit-Oriented Development Levels at High-Speed Rail Stations in China
Authors: Deng Jialin , Cheng Long , Wu Chuanlong , Jin Tanhua , Witlox Frank 
Published: August 2024

Abstract

Transit-Oriented Development (TOD), a sustainable urban development strategy emphasizing integration between transportation and land-use planning centered around public transportation hubs, is increasingly employed around High-Speed Rail (HSR) stations. Despite this trend, there is a lack of quantitative evaluation on factors affecting TOD levels around HSR stations, and quantitative assessment on TOD levels around HSR stations at a national scale remains limited. This study investigates TOD around HSR stations in 31 Chinese provincial capital cities. Utilizing open-source data and linear regression analysis, we measure TOD levels and identify key influencing factors, specifically focusing on economic, policy, and resident population variables. Results show higher TOD levels in eastern coastal regions compared to central and western inland regions, with a disparity between inner-city and suburban HSR stations. Inner-city TOD is influenced by provincial economic structure, while suburban TOD is primarily impacted by HSR-supportive policies. Given the trend of constructing HSR stations in suburban areas, the study highlights the potential for improving TOD around suburban HSR stations through flexible policy guidance, emphasizing the need for aligned policies to harness HSR stations for urban expansion and multi-polar urban development.
Temporal Dependency Modeling in Lane- Changing Decisions Using Long Short-Term Memory Networks
Authors: Parthasarathy Kavya Murali 
Published: August 2024

Abstract

Decision-making is a multifaceted event because the action sequences inherent in human decision-making are shaped by complex cognitive processes, including but not limited to beliefs, desires, intentions, and the ability to infer the mental states of others (theory of mind) Lin et al. (2022). These situations introduce substantial obstacles to accurately forecasting human decisions, especially when fundamental psychological mechanisms are not considered. Addressing this, this study explores the temporal evolution of lane-changing decisions among drivers through the application of sequence models. By examining how decision-making patterns develop when drivers encounter a series of scenarios or familiarise themselves with the task, this study provides insights into time-sensitive decision-making. This study presents an LSTM-based model for predicting lane-changing decisions in road scenarios. Utilising the strength of LSTMs in capturing temporal dependencies, our model demonstrates high accuracy in training and validation phases, suggesting robust generalisation and potential for real-world Advanced Driver Assistance Systems (ADAS)
The Mechanism of Cistanche Yishen Granules in Treating Parkinson's Disease Based on Network Pharmacology and Molecular Docking
Authors: Bao Wanwan , Lin Ming , Cao Mei , Cheng Jielong , Tu Huaijun 
Published: August 2024

Abstract

To evaluate the potential pharmacological effects of bioactive components in Citanche Yishen Granules (CYSG) on Parkinson's disease (PD) using network pharmacology methods.
Method: The effective active ingredients in CYSG were retrieved using the TCMSP database, and the potential gene targets of these active ingredients were predicted using the Swiss Target Prediction database. The PD gene was obtained from three databases. Then, we intersect the targets of CYSG active ingredients with PD targets. At the same time, these common targets were subjected to Drug-active ingredient-common target network construction, protein-protein interaction (PPI) analysis, gene ontology (GO) analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Finally, molecular docking studies further confirmed the results of these analyses.
Result: CYSG has 68 active ingredients that meet the screening criteria. These 68 active ingredients have a total of 799 potential gene targets, of which 635 are shared with PD. The biological process (BP) in GO enrichment analysis of these common targets includes protein autophotography, peptide tyrosine pharmacology, and peptide tyrosine modification. The Cellular Component (CC) mainly includes the membrane raft, membrane microdomain, and membrane region. The molecular function (MF) mainly includes protein tyrosine kinase activity, protein serine/threonine kinase activity, and neuron receptor activity. The KEGG pathway mainly includes related pathways such as Neuroactive light receiver interaction, Calcium signaling pathway, Lipid and atherosclerosis and Apoptosis. The molecular docking results showed that the top three active components of CYSG had good binding activity with four core targets. In summary, this study provides a deep understanding of the potential pharmacological effects of the active components of CYSG on PD, supporting it as the most promising treatment method for this disease.
Mitigating Self Echo in Public Cellular AccessNetworks Using Counter Propagating Light wave Interferometry
Authors: Chandrasenan Archa , Zacharias Joseph 
Published: August 2024

Abstract

Public Cellular Access Networks based on Radio over Fiber technology (PCN-RoF) seamlessly integrate connections among individuals, devices, and servicesacross diverse sectors. The proposed PCN-RoF, using in-band full duplex technol-ogy (IBFD), allows simultaneous signal transmission and reception between userstations (US) and central office stations (COS) within the same frequency band.However, a drawback of IBFD-based PCN-RoF systems is the self-echo (SE)interference caused by simultaneous transmission and reception. To address this,we propose a self-echo cancellation (SEC) system based on Counter-PropagatingLight wave Interferometry (CPLI). The system employs a dual parallel Mach-Zehnder modulator (DPMZM) for SEC, with a frequency downconverting systemusing an electrical local oscillator (ELO) and an FBG-based sensor to mitigatedispersion effects. Achieving cancellation depths of 52.99 dB to 56.74 dB andconversion efficiency from 23.55 dB to 27.70 dB, this SEC technique can enhancesmart city implementations by enabling efficient communication among diversedevices, infrastructure, and sensors.
Study on Liquid-Liquid Equilibrium Experiments and Correlation of Cyclohexane +Toluene + Imidazole Ionic Liquids Systems at several temperatures
Authors: Li Xia , Liu Shuyan , Yin Yahui , Zhang Weilian , Sun Chenglong , Xu Xianzhen 
Published: August 2024

Abstract

In today's increasingly strong concept of sustainable development and environmental protection, it is of great significance to seek more environmentally friendly and safe separation technology. Toluene and cyclohexane are important organic solvents, and their separation and purification play important role in chemical industry, environmental protection, food, drug preparation and other fields. In this work, two ionic liquids (ILs) 1-butyl-3-methylimidazolium hexafluorophosphate ([BMIM][PF6]) and 1-Hexyl-3-methylimidazolium hexafluorophosphate ([HMIM][PF6]) were screened as extractants by COSMOthermX 2021 to separate toluene from cyclohexane. The liquid-liquid equilibrium (LLE) data of the ternary system for cyclohexane + toluene + [BMIM][PF6]/[HMIM][PF6] were measured at T = 298.15, 308.15 and 318.15 K, and the effect of the alkyl chain length on LLE was revealed. To assess the separation efficiency, we calculated the distribution coefficient (D) and selectivity (S) at different temperatures. Additionally, the Othmer-Tobias equation was used to test the reliability of the experimental data. The nonrandom two-liquid (NRTL) model is used to correlate the LLE data, and the model parameters were obtained using Matlab tools, and root-mean-square deviation (RMSD) values less than 0.018, indicating that experimental data agree with the regressed by the NRTL model.