bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of chronic F- exposure on ionotropic glutamate AMPA and NMDA receptors in rat hippocampus
Authors: Nadei Olga V. , Agalakova Natalia Ivanovna 
Published: July 2023

Abstract
Our previous study has shown that long-term consumption of excessive fluoride (F−) impaired spatial learning and formation of long-term memory of Wistar rats. The present study examined alterations in expression of a few subunits composing glutamate AMPA and NMDA receptors in hippocampal cells in response to F− poisoning at transcriptional and translational levels, as well as their subcellular distribution and phosphorylation state. The rats were given water with background 0.4 (control), 5, 20 and 50 ppm F− (as NaF) for 12 months. The expression of Gria1, Gria2 and Gria3 genes remained stable in the hippocampal tissues of F−-exposed animals. However, long-term F− intake resulted in translocation of GluA2 subunits of AMPA receptors from membranes to cytosol and opposite trafficking of GluA3 subunits, whereas subcellular distribution of GluA1 subunits was unaltered. These changes were accompanied by increased phosphorylation of GluA1 and GluA2 subunits in cytosol and/or membranes. The expression of Grin1 gene and GluN1 subunits of NMDARs were comparable in hippocampal cells of rats from all groups. In contrast, F− poisoning was accompanied by a rise in both Grin2a and Grin2b mRNA content and enhanced levels of total and phosphorylated forms of GluN2A and GluN2B subunits in/or cytosol and membranes. Such changes indicate the predominance of Ca2+-permeable AMPARs and altered ratio between different types of NMDARs subunits at membranes of hippocampal cells of F−-exposed rats, which may underly the disturbances in cognitive capacities of animals.
Short-term wind speed probability interval prediction based on secondary decomposition and multi-objective optimization combination model
Authors: Qiu Wenzhi , Zhang Wenyu , Wang Gang , Guo Zhenhai , Zhao Jing , Ma Keke 
Published: July 2023

Abstract
Reliable interval prediction can quantify the potential risk of wind speed, which is important for the planning and application of wind energy. In this paper, a new probabilistic prediction model, called QRCfC, is proposed for the first time by combining quantile regression and closed-form continuous-time neural network. A new combined model combining QRCfC, secondary decomposition, multi-objective optimization and dynamic weight combination strategy is proposed, which makes full use of the advantages of each single model to obtain reliable probabilistic interval prediction of wind speed. Firstly, a secondary decomposition method based on variational modal decomposition and singular spectrum analysis is constructed to decompose the original wind speed series into different subseries. Then, four base models are used to predict these subseries separately. After that, the predicted values of the four base models are input into QRCfC for training, where the hyperparameters of QRCfC are dynamically adjusted by a multi-objective ant lion optimization algorithm. Finally, to verify the effectiveness of the proposed models, experiments are conducted using data sets from three wind farms in Gansu, China. The simulation results indicate that the proposed model is significantly superior to other conventional models in the 1-step to 3-step interval prediction for the three sites.
Characterization of novel 3D-printed honeycomb bolus for radiotherapy
Authors: Zhang Te , Wang Zhongfei , Wang Xuemin , Sun Xiaohuan , Wang Wei , Chen Liting , Duan Jie , Lv Bo , Yao Xiaowei , Zhao Lina 
Published: July 2023

Abstract

Purpose
To characterize a novel 3D-printed honeycomb bolus design by evaluating the impact on dose distribution and testing its feasibility in skin surface dose modulation using volumetric-modulated arc therapy (VMAT) treatment plans.
Methods
Multiple honeycomb boluses were 3D-printed with different infill percentages of 10%, 30%, 50%, 70%, and 90%, respectively. CT scan was then performed for each bolus placed on an I’mRT phantom. The CT DICOM file was imported into the treatment planning system (TPS) Eclipse for dose calculation using a 6 MV photon beam. In parallel, a virtual bolus structure was defined in Eclipse as the analog. The CT number of the virtual bolus was manually adjusted until its depth dose curve matches the one calculated from the actual CT structures. Gafchromic EBT3 film was then used to validate the calculation. Finally, we tested the feasibility of applying the virtual bolus in making VMAT plans.
Result
Using the depth dose matching method, the equivalent CT number values were determined to be -475, -438, -274, -118, and − 4 for the infill percentage of 10–90%, respectively. The dose difference between the TPS calculation with a virtual bolus and film measurement was lower than 3% when the infill percentage was greater than 30%. When the infill percentage was greater than 50%, the dose-volume quantities indicated that the VMAT plans are clinically acceptable.
Conclusion
It is clinically feasible to use the novel 3D-printed honeycomb bolus and virtual bolus method in treatment planning for skin surface dose modulation.
Muscle Fatigue Analysis and Stress Detection from Surface EMG and ECG Using Deep Learning for Upper-Limb Trauma Rehabilitation
Authors: Kassaw Ewunate , Worassa Emnet , Fetene Kinde , Aboye Genet 
Published: July 2023

Abstract
Background The repetitive nature of physical rehabilitation exercises may result in an excess of muscular fatigue, which can adversely impact an individual's motor function, leading to discomfort or even physical injury. Moreover, individuals who have undergone traumatic experiences tend to encounter difficulties with concentration, which can significantly impede their physical capabilities. Regrettably, existing therapy approaches do not appear to consider the potential mental exhaustion of their patients. Developing Bidirectional Long Short-Term Memory (Bi-LSTM) model for the assessment of Muscle fatigue stage and mental stress condition during physical rehabilitation of trauma injured patient was the aim of this study.Methods 188 EMG signal data and 223 ECG signal data were collected from Jimma University physiotherapy clinic and prepared for signal processing. Since 4th order Butterworth filter perform better than other, it was chosen to denoise the data. The data then split in to a ratio of 60:20:20 train, validate and test data. Finally, the developed Bi-LSTM model was deployed.Result The Bi-LSTM model achieved an accuracy of 95% for multiclass muscle fatigue classification and 97% accuracy was achieved during the binary classification of mental stress. The GUI provides a setting appropriate for routine model usage.Conclusion The obtained result indicates that monitoring the muscle condition and mental status of trauma injured patient can be performed in clinical setup for an effective physical rehabilitation.
Indole-3-methanol Reduces Apoptosis and Improves Neurological function after Cerebral Ischemia-reperfusion Injury by Modulating Microglia Inflammation
Authors: Peng Long , Zhu Xingjia , Wang Chenxing , Jiang Qiaoji , Yu Shian , Song Gaochao , Liu Qianqian , Gong Peipei 
Published: July 2023

Abstract
Indole-3-carbinol(I3C) is a tumor chemopreventive substance that can be extracted from cruciferous vegetables.Indole-3-methanol(I3C) has been shown to have antioxidant and anti-inflammatory effects. In this study, we investigated the cerebral protective effects of I3C in an in vivo rats model of middle cerebral artery occlusion(MCAO). 8–10 Week-Old male SD rat received I3C (150 mg/kg, once daily) for 3 days and underwent 3 h of middle cerebral artery occlusion (MCAO) followed by reperfusion. The results showed that I3C pretreatment (150 mg/kg, once daily) prevented CIRI-induced cerebral infarct size in rats. I3C pretreatment also decreased the mRNA expression levels of several apoptotic proteins, including Bax, caspase-3 and caspase-9, by increasing the mRNA expression levels of the anti-apoptotic protein Bcl-2. inhibited apoptosis in the brain cells of MCAO rats. In addition, we found that I3C pretreatment reduced neuronal loss, promoted neurological recovery after ischemia-reperfusion injury and increased seven-day survival in MCAO rats. I3C pretreatment also significantly reduced the expression of inducible nitric oxide synthase (INOS), interleukin-1β (IL-1β) and interleukin-6 (IL-6) mRNA in ischemic brain tissue; Increased expression of interleukin-4 (IL-4) and interleukin-10 (IL-10) mRNA. At the same time, I3C pretreatment significantly decreased the expression of the M1 microglial marker IBA1 after cerebral ischemia-reperfusion injury and increased the expression of these results in the M2 microglial marker CD206. I3C pretreatment also significantly decreased apoptosis and death of HAPI microglial cells after hypoxia induction, decreased interleukin-1β (IL-1β) and interleukin-6 (IL-6) mRNA The expression of interleukin-4 (IL-4) and interleukin-10 (IL-10) mRNAs was increased. These results suggest that I3C protects the brain from CIRI by regulating the anti-inflammatory and anti-apoptotic effects of microglia.
Growth of Organized Flow Coherent Motions within a Single-Stream Shear Layer: 4D-PTV Measurements
Authors: Gautam Ankit K , Livescu Daniel , Mejia-Alvarez Ricardo 
Published: July 2023

Abstract

This study investigates the evolution of a Single-Stream Shear Layer (SSSL) originating from a wall boundary layer past a backward-facing step. Utilizing a time-resolved 3D-Particle Tracking Velocimetry (4D-PTV) technique, we track the trajectories of fluorescent particles to gain insight into the flow characteristics of the SSSL. A compact water-tunnel facility (Reτ = 1240) is fabricated to obtain an SSSL with a perpendicular slow entrainment stream past the separation edge. Spanwise-dominant coherent motion accompanied by finer flow scales is observed. The SSSL layer grows due to flow entrainment through "nibbling" actions of small-scale vortices, "engulfing" by large-scale vortices, and vortex-pairing events. Furthermore, the non-zero-speed stream edge grows considerably faster than the zero-speed stream edge, showing a strong asymmetry in mixing composition across a mixing layer. The SSSL reaches self-similarity around ≈ 60 θ0, where θ0 is the initial momentum thickness, a streamwise extent considerably shorter than suggested by previous studies. A turbulent kinetic energy (TKE) budget analysis reveals a negative production region immediately downstream of the separation edge attributed to a large positive streamwise gradient of streamwise velocity. In the self-similar region, the phase-averaged flow mapping demonstrates a larger concentration of turbulence production rate at the outer edges of spanwise vortices and the intersection of braids and vortices. Furthermore, a spatial separation exists in the regions of high production and dissipation rates within the vortex core region favoring dissipation. The braids exhibit a larger concentration of positive turbulence diffusion rates, indicating their function as a conduit for exchanging turbulence between neighboring coherent motions.
I think they should give primary health care a little more priority. The Primary Health Care in Caribbean SIDS: What can be said about adaptation to the changing climate? The case of Dominica. A qualitative study
Authors: Harris-Glenville Fiona , Cloos Patrick 
Published: July 2023

Abstract
Background
Climate change (CC) adaptation is considered a priority for Caribbean Small Islands Developing States (SIDS), as these territories and communities are considered particularly vulnerable to climate-related events. The primary health care (PHC) system is an important actor in contributing to climate change adaptation. However, knowledge on how PHC is prepared for CC in Caribbean SIDS is very limited. The objective of this paper is to discuss health adaptation to climate change focusing on the PHC system.
Methods
We explored the perspectives of PHC professionals in Dominica on climate change. Focus group discussions (FGDs) were conducted in each of the seven health districts in Dominica, a Caribbean SIDS, between November 2021 and January 2022. The semi-structured interview guide was based on the Essential Public Health Functions: assessment, access to health care services, policy development and resource allocation. Data coding was organized accordingly.
Results
Findings suggest that health care providers perceive climate change as contributing to an increase in NCDs and mental health problems. Climate-related events create barriers to care and exacerbate the chronic deficiencies within the health system, especially in the absence of high-level policy support. Healthcare providers need to take a holistic view of health and act accordingly in terms of disease prevention and health promotion, epidemiological surveillance, and ensuring the widest possible access to health care, with a particular focus on the ecological and social determinants of vulnerability.
Conclusion
The Primary Health Care system should be a key actor in designing and operationalizing adaptation and transformative resilience. The Essential Public Health Functions should integrate social and climate and ecological determinants of health to guide primary care activities to protect the health of communities. This indicates a need for improved research on the linkages between climate events and health outcomes, surveillance, and development of plans that are guided by contextual knowledge in the SIDS.
Targeting of H19/cell adhesion molecules circuitry by GSK-J4 epidrug inhibits metastatic progression in prostate cancer
Authors: Pecci Valeria , Troisi Fabiola , Aiello Aurora , De Martino Sara , Carlino Angela , Fiorentino Vincenzo , Ripoli Cristian , Rotili Dante , Pierconti Francesco , Martini Maurizio , Porru Manuela , Pinto Francesco , Mai Antonello , Bassi Pier Francesco , Grassi Claudio , Gaetano Carlo , Pontecorvi Alfredo , Strigari Lidia , Farsetti Antonella , Nanni Simona 
Published: July 2023

Abstract
Background
About 30% of Prostate cancer (PCa) patients progress to metastatic PCa that remains largely incurable. This evidence underlines the need for the development of innovative therapies. In this direction, the potential research focus might be on long non-coding RNAs (lncRNAs) like H19, which serve critical biological functions and show significant dysregulation in cancer. Previously, it has been shown that the long noncoding RNA H19 acts as transcriptional repressor of cell adhesion molecules affecting the PCa metastatic potential. Here, we investigated the role of H19/cell adhesion molecules circuitry on in vivo PCa experimental tumor growth and metastatic dissemination models.
Methods
H19 was silenced in luciferase-positive PC-3 and 22Rv1 cells and in vitro effect was evaluated by gene expression, proliferation, invasion and colony formation assays before and after treatment with the histone lysine demethylase inhibitor, GSK-J4. In vivo tumor growth and metastasis dissemination, in the presence or absence of GSK-J4, were analyzed in two models of human tumor in immunodeficient mice by in vivo bioluminescent imaging and immunohistochemistry (IHC) on explanted tissues. Organotypic Slice Cultures (OSCs) from fresh PCa-explant were used as ex vivo model to test GSK-J4 effects. Analysis of H19/cell adhesion molecules circuitry on PCa biopsies was conducted by IHC and droplet digital PCR on Formalin-Fixed Paraffin-Embedded tissues.
Results
H19 silencing in both PC-3 and 22Rv1 cells increased: i) E-cadherin and β4 integrin expression as well as invasion and colony formation, ii) in vivo tumor growth, and iii) metastasis formation at bone, lung, and liver. Of note, treatment with GSK-J4 reduced lesions. In parallel, GSK-J4 efficiently induced cell death in PCa-derived OSCs. Lastly, we investigated the potential of early predicting disease progression of the H19/cell adhesion molecules circuitry evaluated at the time of biopsy.
Conclusions
Our findings underscore the potential of the H19/cell adhesion molecules circuitry as a targeted approach in PCa treatment. Modulating this interaction has proven effective in inhibiting tumor growth and metastasis, presenting a logical foundation for targeted therapy. Additionally, the predictive potential of the H19/cell adhesion molecules circuitry suggests the possibility of an early application in PCa management.
The role of tumor-associated macrophages in the radioresistance of esophageal cancer cells via regulation of the VEGF-mediated angiogenic pathway
Authors: Sun Fei , Lian Yingying , Zhou Mengyun , Luo Judong , Hu Lijun , Wang Jianlin , Zhiqiang Sun , Yu Jingping 
Published: July 2023

Abstract

Tumor-associated macrophages (TAMs) are known to promote tumor growth, invasion, metastasis, and protumor angiogenesis, but the role of TAMs in the radiotherapy of esophagus cancer remains unclear. In this study, we first induced TAMs from human monocytes (THP-1) and identified using immunofluorescence and Western blotting assays. We then co-cultured them with human esophageal cancer cell lines. CCK-8, colony formation, Transwell, scratch test, and TUNEL assays showed that TAMs could promote proliferation, survival rate, invasion, migration, and radio-resistance and could inhibit apoptosis of the esophageal squamous carcinoma cell lines KYSE-150 and TE-1 before and after radiotherapy both in vivo and in vitro. Using LV-VEGFA-RNAi lentiviral vectors, we also found that TAMs could increase the expression of VEGFA and that inhibition of VEGFA could inhibit the biological function caused by TAMs. Finally, a Western blotting assay was used to evaluate the expression of various factors underlying the mechanism of TAMs. VEGFA, MAPK, P-MAPK, BCL-2, and Snail proteins were found to be overexpressed in co-cultured groups, whereas after VEGFA inhibition, MAPK, P-MAPK, BCL-2, and Snail proteins were found to be significantly down-regulated in the radiotherapy group. These study results offer important information regarding the mechanism of radio-resistance in esophageal cancer.
AQP3 influences the development of recurrent spontaneous abortion by regulating trophoblast proliferation and migration via the AQP3/IGF2BP1/PI3K/AKT signaling pathway
Authors: Nong Yingqi , Wei Jiahui , Liu Wenjuan , Wang Fang , Li Zitao , Liu Dun , Wang Zhaoyi , Liang Xiangping , Zhang Xiqian , Liu Fenghua 
Published: July 2023

Abstract
Background
Reduced trophoblast migration and invasion contributes markedly to recurrent spontaneous abortion (RSA). Aquaporin 3 (AQP3) is a key protein necessary for trophoblast migration and invasion in the fetal–maternal crosstalk during early pregnancy. However, the involvement of AQP3 in RSA remains unknown. Here, the molecular mechanisms acting upstream and downstream of AQP3 and modulatory effects on trophoblast migration and invasion were examined.
Methods
AQP3 expression was detected in the villi of patients with RSA. The molecular mechanisms whereby AQP3 regulates the migration and invasion of human extravillous trophoblasts (HTR-8/SVneo cells), including the role of the PI3K/AKT signaling pathway and insulin-like growth factor 2 mRNA-binding protein 1 (IGF2BP1), were investigated.
Results
AQP3 expression was lower in the villi of patients with RSA than in the controls. Key PI3K/AKT signaling pathway kinase expression levels were elevated after AQP3 overexpression (OE); the opposite effects occurred after AQP3 knockdown. PI3K/AKT signaling inhibition by LY294002 partially reversed trophoblast migration and invasion and AQP3 OE-mediated PI3K/AKT activation. IGF2BP1 knockdown reduced AQP3 mRNA stability and impaired trophoblast migration and invasion; IGF2BP1 OE exerted the opposite effects. AQP3 mRNA bound to the IGF2BP1 protein, and the m6A-modified AQP3 was significantly enriched in HTR-8/SVneo cells.
Conclusions
IGF2BP1 detects and binds to AQP3 mRNA, enhancing its stability and activating the PI3K/AKT pathway, thereby affecting the migration and invasion of HTR-8/SVneo cells. These findings indicate a new fundamental mechanism for treating RSA.
Synthesis, anticancer, antioxidant activities and in silico studies of novel benzhydrylpiperazine bearing Δ 2 -1,2,3-triazoline hydrides
Authors: Al-Masoudi Najim A. , Jihad Raad S. , Abdul-Rida Nabeel A. , Al-Shamari Amer M. J. , Saeed Bahjat , Al-Masoudi Wasfi A. 
Published: July 2023

Abstract
To investigate the antiproliferative activity associated with the piperazine framework, a series of benzhydryl piperazine derivatives 8–18 were synthesized and characterized both spectroscopically and structurally. The antiproliferative activity of these compounds against eight human tumor cell lines was assessed. Among the tested compounds, compound 11 exhibited the highest potency, effectively inhibiting the proliferation of three selected human cancer cell lines, HL-60, Z138, and DND-41 with IC50 values of 16.80, 18.50 and 19.20 µM, respectively. Compound 10 displayed IC50 values of 19.90, 18.00 and 18.50 µM against the cell lines HL-60, Z138 and DND-41, whereas compound 13 showed IC50 value of 19.90 µM against cell line DND-41. However, all compounds exhibited IC50 values ranging from 22.95 and 58.45 µM against other tested cancer cell lines. These finding suggest that derivative 11 would be a promising potential lead compound for the development of novel antiproliferative agents. Further compounds 8–18 were evaluated for their antioxidant activity. Additionally, predictive docking studies were performed on the three-dimensional structures of acute myeloid leukemia (CDK2/cyclin A2, PDB: 7B7S, and protein kinase Akt1 PKB alpha, PDB: 4GV1).
Autonomous Vehicle Detection and Tracking Based on Improved Yolov5 and Gmmpf in Harsh Weather Conditions
Authors: Vellaidurai Arthi , Rathinam Murugeswari 
Published: July 2023

Abstract

Autonomous vehicles (AVs) rely on various sensory data to accurately understand their surroundings and guarantee a safe voyage. In AVs, and intelligent transportation systems, vehicle detection and tracking (VDT) are crucial. A camera's ability to perform is dangerously restricted by adverse or challenging weather conditions (CWC) like fog, rain, snow, sandstorms or dust, which all compromise driving safety by lowering visibility. These limitations affect how well the identification and tracking models used in traffic surveillance systems as well as applications for AVs function. This paper proposes autonomous VDT system using Improved You Look Only Once Version 5 (IYOLOV5) and Particle Filter based on a Gaussian Mixture Model (GMMPF) in harsh weather conditions. This paper consists of four steps: image collection, image deweathering, vehicle detection, and vehicle tracking (VT). First, the multiple roadside vehicles are collected from the datasets. Next, image deweathering is performed based on the Adaptive Automatic White balance (AAWB) method, which improves the quality of the images and preserves the edge details. Next, the IYOLOV5 algorithm is used to detect the vehicle, and finally, the vehicles are tracked using the GMMPF concept. The suggested method is evaluated and contrasted with the current methods on the DAWN and COCO datasets. The outcomes have confirmed the usefulness of the suggested solution, which outperforms cutting-edge vehicle recognition and tracking techniques in inclement weather.