bluuebunny/crossref_metadata_2025_split huggingface dataset:
Numerical study of flow control on an asymmetric beveled trailing edge
Authors: Mosallem M. M. , Ahmed Zienab A. 
Published: October 2023

Abstract
The current research aims to numerically study the flow past a beveled trailing edge of the plate in the presence of a control rod. The test model used in the current study is a sharp-faced 2D flat plate of thickness, H and having an asymmetric 60° beveled trailing edge. A control rod of diameter, \(d=0.2 H\) inserted at two different locations (Location (1); \(x/H=\) 0.18, \(y/H=1.0\)) and (Location (2); \(x/H=\) 0.28, \(y/H=0.9\)) behind the trailing edge. A two-dimensional unsteady numerical simulation was conducted at Reynolds number, \({{Re}}_{H}=1.09\times 1{0}^{5}\) based on the plate thickness. The numerical results revealed the vortex formation and vortex shedding mechanism in the wake downstream of the trailing edge with and without control rod. A drag reduction of 4.6% and 5.9% was obtained for location (1) and (2) respectively. The oscillations lift coefficient amplitude decreased for both rod locations in comparison with that for without rod. the CL (rms) value was decreased in around 87% for location (1) and 39.4% for location (2). in compared to the case without control rod. The results showed also that for location (1) the lift force tends to be symmetry on the two sides of the plate. Strouhal number values for the two locations of control rod are less than that for trailing edge without control rod.
A multi-sensor framework in Google Earth Engine for trend analysis of water quality parameters in Anzali lagoon
Authors: Navabian Maryam , Vazifedoust Majid , Varaki Mehdi Esmaeili 
Published: October 2023

Abstract

Monitoring of water quality parameters (WQP) in Anzali Lagoon is deemed a priority for protection and prevention of its degradation. The current study investigates the environmental condition of the wetland between 2014 to 2021 using remote sensing technology. A multi-sensor framework was developed in google earth engine for spatio-temporal trend analysis of water quality parameters in Anzali lagoon. The spatial distributions indicated that the critical points of the lagoon are changing from the Western to the center and Eastern parts. The comparison of the WQP parameters with the environmental standards confirmed that the lagoon condition is in critical stage, especially in terms of TSS. Nitrate values showed that 50% of the lagoon area exceeds the environmental standards, which indicates the nutritional status. The investigated WQP has had a significant positive trend in most areas, so the lagoon is under high environmental risk and unfriendly human activities should be controlled.
Investigating the Critical Characteristics of Pedestrian-Vehicle Game Modes at Unsignalized Crosswalks: Based on MCMC and BP Network
Authors: Yang Zhen , Xie Shikun , Yuan Fang , Qi Yani , Wang Mingxuan 
Published: October 2023

Abstract
There is weak traffic control at unsignalized crosswalks, and the operation of pedestrians and motor vehicles is based on their recognition of the surrounding road conditions, environment, and degree of danger. This is fundamentally a game process of mutual compliance and obstacles. Currently, there is still insufficient understanding of the characteristics and mechanisms of this game behavior. In this paper, a large number of human-vehicle interaction examples in the non-signaled pedestrian crossing are collected by UAV to analyze the pedestrian-vehicle interaction mode, and a comprehensive index called Pedestrian-Vehicle Game Index (PVGI) that depicts the pedestrian-vehicle game process considering the change of motion state is proposed. Then, the Markov-chain Monte Carlo (MCMC)has been used to identify the critical conditions for game modes. Additionally, a BN model based on the Gaussian Mixture Model (GMM) and the Expectation-Maximum algorithm (EM) algorithm is applied to model and analyze multiple games between pedestrians and vehicles. The results show that pedestrian-vehicle interaction includes 11 typical game modes in 3 categories, and there are significant differences in each interaction mode. MCMC identified the PVGI domain of the pedestrian-vehicle as [-4.0s, 2.0s]. In this game interval, the game mode will be divided into "pedestrian yield - vehicle dominant" and " vehicle yield - pedestrian dominant ", with corresponding game intervals of [-4.0, 0] and [0, 2.0]. The Naive Bayes (NB) model for second-round game recognition based on the EM algorithm and GMM model performs better, with a total accuracy of 83.78%.
ZSTK474 Targeting PIK3R3 Inhibits the Wilms' Tumor through G0 / G1 Phase Arrest
Authors: Li Maoxian , Liu Jiayan , Jin Liming , Mi Tao , Zhang Zhaoxia , Zhanghuang Chenghao , Li Mujie , Wang Jinkui , Wu Xin , Wang Zhaoying , Wang Zhang , He Dawei 
Published: October 2023

Abstract
Purpose
Wilms' tumor (WT) is children's most common primary kidney malignancy. The prognosis of patients with anaplastic and recurrent nephroblastoma is still poor. Therefore, searching for a new potential medicinal agent for WT is urgent.
Methods
We used one-way Cox regression and Kaplan-Meier analysis to identify differentially expressed and prognostic-related genes (p < 0.05) based on the nephroblastoma dataset TARGET-WT in the TCGA database. We predicted ZSTK474, a PI3K inhibitor, as a potential therapeutic agent for WT by querying the Connectivity Map (CMap) database for prognosis-related genes. The inhibitory effect of ZSTK474 on WT was investigated by in vivo and in vitro experiments, and its inhibitory mechanism was explored.
Results
In vivo, ZSTK474 inhibited the growth of nephroblastoma in a dose-dependent manner, and no significant toxic side effects were observed. Western blot and immunofluorescence
Photodynamic Antibacterial Evaluation of Polydopamine - Nanoparticles optimized Curcumin Longa as a Root Canal Irrigant against Endodontic Biofilm.
Authors: Gunasekaran Gokul , Manavalan Madhana Madhubala , Mahalaxmi Sekar 
Published: October 2023

Abstract

Background:
Root canal infections are a common challenge in endodontics where traditional root canal irrigants have been accompanied with photodynamic therapy(PDT) to enhance the antibacterial eradication and prevention of reinfection. This study explores a novel approach for root canal disinfection using photodynamically activated photosensitiser Curcuma longa(Cur), an active compound found in turmeric, optimized with polydopamine nanoparticles (nPD) against Enterococcus faecalis(E. faecalis) as a root canal irrigant.
Methodology: Fifty three single-rooted human premolar teeth were decoronated, 2–3 mm from the cementoenamel junction was removed to obtain specimens of 10 mm length. The root canals were biomechanically prepared and the samples were rinsed in ultrasonic bath with 3% NaOCl and 17% EDTA and rinsed in distilled water. Then, specimens were autoclaved and were inoculated with 0.1mL E. faecalis in Brain Heart Infusion (BHI) broth and incubated at 37°Cfor four weeks. After E.faecalis growth, all the specimens were randomised into 5 groups (n=10); Group 1- Untreated specimens; 2. Group 2 - 2.5% NaOCl; Group 3 - PDT + Cur; Group 4 - PDT + nPD; Group 5 - PDT + nPD-Cur. Each specimen was then irrigated with respective experimental irrigation protocol followed by application of diode irradiation at wavelength of 808 nm and 405 nm simultaneously for 10 min. The samples were collected using sterile paper points immersed in root canal and cultured to determine the number of colony-forming units (CFU)/ml. Specimens were analysed under CLSM to determine the percentage of dead bacteria and SEM to evaluate biofilm disruption potential.
Results: CFU, dead bacteria percentage and bioflim disruption potential revealed to be highest for NaOCl group followed by PDT+nPD > PDT+Curcumin+nPD > PDT+Curcumin.
Conclusion: nPD were found to have good antibacterial properties than curcumin and nPD-Cur also proved to have enhance photodynamic antibacterial activity against endodontic biofilm.
Association between mechanical power normalized to compliance and prognosis of critically ill patients: A retrospective cohort study
Authors: Dong yukang , Fu jiangquan , Huang Rui , Yao Huan , Wang Jinni , Wang Ying , Shen Feng 
Published: October 2023

Abstract
Background: The mechanical power (MP) of a ventilator, which is the accumulated energy load of multiple respiratory cycles per unit time, can vary based on the physiological state of the ventilated lungs, leading to different effects on the respiratory system. Accordingly, it is most reasonable to normalize the mechanical power to accurately reflect the actual volume of air reaching the lungs. At present, the relationship between MP normalized to compliance (MPCRS) and prognosis in critically ill patients under ventilation is not clear.
Methods: This retrospective cohort study included a total of 3551 patients in the Medical Information Mart for Intensive Care (MIMIC) IV, with ICU mortality and in-hospital mortality as study outcomes. Multivariate regression analysis and subgroup analysis were used to explore the associations between MPCRS and prognosis in ventilator-supported critically ill patients. The results were illustrated using smoothing curves and forest plots.
Results: Participants' mean age was 61.3 ± 17.0 years and the median [IQR]baseline MPCRS was 0.4(0.2,0.6) J/min/mL/cmH2O. After adjusting for covariates, the ORs [95% confidence intervals (CIs)] for ICU mortality were 1.22 (95% CI: 0.94-1.59), 1.68 (95% CI: 1.29-2.19), and 2.93 (95% CI: 2.20-3.90), respectively, with quartile 1as reference. Similar results were found for hospital mortality. After correcting for all covariables, the smoothing curves revealed a consistent linear relationship between ICU and hospital mortality.
Conclusion: These results demonstrate that a higher MPCRS is associated with poor clinical outcomes in critically ill patients. Higher MPCRS can lead to a higher mortality among ICU and in-hospital patients.
Low back pain during pregnancy: Prevalence, pain characteristics, risk factors among pregnant women seen at Primary Health Care Centre in Damascus: a cross-sectional study.
Authors: alsaadi Aya , alkhalfah Lubna , Ataya Sham , Kudsi Maysoun 
Published: October 2023

Abstract

Background low back pain is one of the most common problems during pregency that can affect the quality of life of the mother. The recognition of LBP pain characteristics during pregnancy is important to establish effective management. Methods This cross-sectional study was conducted among Syrian pregnant women in the outpatient clinic of El-Zahrawi Hospital in Damascus City using convince sampling approach with face-to-face interviews. Pain severity was assessed using the numeric rating scale (NRS), using a 0–10 scale, with zero meaning “no pain” and 10 meaning “the worst pain imaginable. Results 330 pregnant women were recruited for this study. The end-up prevalence rate of LBP in the sample is 209 (63.3%). Multiple logistic regression revealed factors correlated to low back pain as follows: Obesity [AOR = 2.11, CI 95% (1.128–3.976)], overweight [AOR = 1.82, CI 95% (1.052–3.167)], history of LBP in previous pregnancy [AOR = 2.01, CI 95% (1.221–3.311)], history of LBP during menstrual cycle [AOR = 1.83, CI 95% (1.020–3.301)], and postgraduate on educational level [AOR = 2.2, CI 95% (1.148–4.216)]. The majority of women 144 (68.9%) have moderate pain, 73 (34.9%) have onset pain in the first semester, 126 (60.3%) have their daily activity affected, and 163 (78%) have sleep disturbance due to the pain. Long-standing was the most reported pain exacerbating factor (78%), followed by carrying weight (48.3%). Nearly 60% of women with LBP did not consult a doctor for their pain management. Muscle stretching was the most reported pain-relieving factor (71.8%), followed by resting from the movement that triggers the pain (35.9%) and back massage (33%). Conclusion Low back pain is prevalent among Syrian pregnant women, mostly with moderate severity with significant risk factors. Awareness should be raised about this common problem during pregnancy and seek a doctor's help to apply effective strategies and reduce the impacts of the pain on daily activity and quality of life.
Enhancing climate-resilient urban river restoration: predictive modeling of geomorphic changes
Authors: Jalaeifar Farzad , Sarang Amin , Abdoli Asghar , Niksokhan Mohammad Hosein 
Published: October 2023

Abstract

Urbanization and climate change are two potent forces shaping the contemporary environment. Urban rivers, integral to city life, are profoundly affected by these dynamics. While restoration efforts have yielded promising results, a persistent challenge lies in the inadequate consideration of geomorphic processes and climate change impacts in restoration planning. This study addresses this critical gap by proposing a novel approach for designing stable urban river geometries in ungauged basins. Leveraging the Soil Conservation Service (SCS) method in conjunction with General Circulation Model (GCM) data, our research focuses on determining design discharge and channel stability. Our principal finding, based on the incorporation of parameters related to precipitation, runoff, and effective discharge, indicates a projected 35% increase in the width of stable urban rivers in the future. These results underscore the urgency of integrating climate change considerations into urban river restoration initiatives. Neglecting this imperative aspect risks the failure of restoration projects, particularly in addressing geomorphic challenges intensified by climate change. This research offers a valuable framework for future restoration efforts, ultimately contributing to the resilience and sustainability of urban river ecosystems.
Psychosomatic Disorder: The Current Implications and Challenges
Authors: Chauhan Abhimanyu , Jain Chakresh Kumar 
Published: October 2023

:
In recent years, there has been increasing global concern about the rising prevalence
and rapid progression of psychosomatic disorders (PD). This surge can be attributed to irregular
biological conditions and the increasingly stressful lifestyles that individuals lead, ultimately
resulting in functional impairments of vital organs. PD arises from intricate interactions involving
the central nervous, endocrine, and immune systems. Notably, the hypothalamic-pituitaryadrenal
(HPA) axis plays an essential role, as its dysregulation is influenced by prolonged stress
and psychological distress. Consequently, stress hormones, including cortisol, exert detrimental
effects on immunological function, inflammation, and homeostatic equilibrium. It emerges as
physical symptoms influenced by psychological factors, such as persistent pain, gastrointestinal
disturbances, or respiratory complications, and is pertinent to highlight that excessive and chronic
stress, anxiety, or emotional distress may engender the onset or exacerbation of cardiovascular
disorders, namely hypertension and heart disease. Although several therapeutic strategies have
been proposed so far, the precise etiology of PD remains elusive due to the intricate nature of disease
progression and the underlying modalities of action. This comprehensive review seeks to elucidate
the diverse classifications of psychosomatic disorders, explicate their intricate mechanisms,
and shed light on their impact on the human body, which may act as catalysts for the development
of various other diseases. Additionally, it explores the inherent medico-clinical challenges posed by
PD and also explores the cutting-edge technologies, tools, and data analytics pipelines that are being
applied in the contemporary era to effectively analyze psychosomatic data.
Reflexões acerca de método indiciário e seu uso em programas de pós-graduação em história e educação no Brasil
Authors: Carlos Nara Lidiana Silva Dias , Silva Joelma Tito da , Silva Lenina Lopes Soares , Medeiros Neta Olívia Morais de 
Published: October 2023

Desde tempos imemoriais, o homem busca compreender e agir sobre o mundo que o cerca. Para tanto, utiliza diversas formas de explorar o meio em que vive, buscando explicação para os fenômenos, sejam eles naturais ou não. Uma dessas maneiras tem por base a atenção a elementos que podem parecer insignificantes, irrelevantes, mas que carregam informações essenciais. Esses elementos são chamados de indícios, isto é, rastros que podem ser fiados para construção da história. Este artigo tem por objetivo analisar a conceituação e a historicização do chamado método indiciário tendo como suporte reflexivo o texto: “Sinais: raízes de um paradigma indiciário”, de Ginzburg (1989), ao mesmo tempo em que inventaria a produção acadêmica que utiliza o método indiciário em história da educação nos programas de pós-graduação em História e em Educação, buscando compreender se esse é um paradigma teórico-metodológico viável ao historiador da educação. A busca pela produção aconteceu no Portal Oasisbr com o uso do descritor “método indiciário”. Trata-se, assim, de um estudo de revisão bibliográfica e análise documental. Os resultados indicam que a maioria das pesquisas realizadas com procedimentos do método indiciário são oriundas de programas de pós-graduação em Educação. Outro aspecto importante diz respeito às possibilidades de diversificação das temáticas das pesquisas, as quais problematizam o corpo, a mulher, as práticas pedagógicas e as políticas educacionais com uso de fontes oficiais.
Bentuk Penyajian Tari Sempaya dalam Kesenian Gamad Pada Pesta Perkawinan di Desa Ujung Padang
Authors: Laily Wulan Rahmawati  , Herlinda Mansyur  
Published: October 2023

Penelitian ini bertujuan untuk mendeskripsikan bentuk penyajian Tari Sempaya dalam Kesenian Gamad pada Pesta Perkawinan di Desa Ujung Padang Kecamatan Kota Mukomuko Kabupaten Mukomuko. Jenis penelitian ini kualitatif dengan metode deskriptif analisis. Instrumen yang digunakan adalah peneliti sendiri dengan memakai alat bantu seperti handphone, kamera digital dan alat tulis. Teknik pengumpulan data dilakukan dengan cara studi pustaka, observasi, wawancara, dokumentasi. Langkah-langkah menganalisis data adalah pengumpulan data, reduksi data, penyajian data dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa Tari Sempaya merupakan salah satu tari tradisional yang menjadi icon dan budaya di Kabupaten Mukomuko dengan bentuk penyajian simbolis representasional dan berfungsi sebagai sarana adat dan hiburan. Elemen-elemen dari bentuk penyajian Tari Sempaya sebagai berikut: (1) Terdiri dari Gerak Pembuka, Gerak Inti , Gerak Penutup , (2) Menggunakan 4 desain lantai : horizontal, Lingkaran Besar, Lingkaran Kecil, dan segiempat, (3) Musik tradisional ketipuang (gendang), Kecaping ( kecapi), (4) Rias (cantik) kostum baju kebaya, rok dan kerudung (5) Penari harus genap tidak boleh ganjil karena tari ini berpasangan, (6) Properti tari yaitu Sapu tangan (7) Tempat pertunjukan di depan pelaminan dan juga bisa di atas panggung.
Application of improved genetic algorithm in the optimal design of seismic parameters of rail vehicle
Authors: Zhang Wei 
Published: October 2023

Abstract
This paper first considers the seismic parameter model of rail vehicles with rail constraints and investigates the mechanism of beam-rail interaction under earthquake action. The computational parameters of rails, main girders, and piers are optimized using analytical and finite element methods during earthquake action. Finally, the NSGA-II genetic algorithm is improved and applied to optimize the seismic parameters of rail vehicles, and seismic damage indexes evaluate the damage to rails and vehicles. The results show that by optimizing the seismic parameters of rail vehicles, the track damage is lower than the median value of μ [μ
1 = 1.03404, μ
2= 1.2013] under the same earthquake intensity, and the probability of lateral damage to vehicles is reduced by 0.15. Applying the improved genetic algorithm proposed in this paper can effectively improve the seismic performance of rail vehicles and provide some theoretical support for the design and safety of rail vehicles.
The construction of a psychological support system for college students’ innovation and entrepreneurship incorporating a nonlinear stochastic model
Authors: Chen Qi , Huang Rong , Lou Chunyi , Lu Liang 
Published: October 2023

Abstract
In this paper, a non-linear stochastic model was constructed to introduce psychological capital as a random disturbance and predict students’ entrepreneurial intentions. Then, we conducted a differential analysis of students’ psychological capital on indicators of gender, family economic status and parents’ attitudes toward their children’s entrepreneurship, and also tested the mediating effects of innovation efficacy and perceived behavioral control to reveal the inner mechanism of the psychological capital of college students’ innovation and entrepreneurship. Finally, a psychological support system for college students’ entrepreneurship was constructed, including three dimensions a positive organizational system, positive emotional experience, and positive personality traits. The study showed that the direct effect of psychological capital on entrepreneurial intention was significant, β = 0.15, t = 3.19, p < 0.01, and overall significant. Innovative efficacy significantly and positively predicted perceived behavioral control β=0.48, t=12.67, p<0.001 and entrepreneurial intention β=0.09, t=2.15, p<0.05. This study has important implications for improving the quality of entrepreneurial activities and optimizing the entrepreneurial environment of college students.
Kinect-based gesture interaction design method for smart terminal APP interface
Authors: Wang Hui , Cao Fucun , Gao Jiaji , Li Bo 
Published: October 2023

Abstract
In this paper, a static gesture classification model based on a convolutional neural network is proposed to achieve the goal of efficient interaction control and fast response time for gesture recognition, and hand feature extraction is achieved by using alternating convolution and pooling. In the convolutional neural network, image data is obtained by preprocessing operations such as adaptive thresholding and functions such as Gaussian filtering to provide data for the convolutional neural network structure to build the recognition model, which is used to quantify the edge characteristics of the image and construct the image edges with gradient amplitude to build the static gesture recognition algorithm for Kinect. In the accuracy rate for gesture interaction, the average recognition rate for slow movement is 96.5%, while when the interactive gesture is recognized at an accelerated speed, its recognition rate slips to 93.1%, and the total average recognition rate reaches 95.2%.
The Construction of Satisfaction Evaluation System of Urban Tourism Scenic Area Management Based on Multiple Data Fusion
Authors: Xu Gang 
Published: October 2023

Abstract
In this paper, we apply FCM to data fusion and continuously iterate to create a data fusion model that achieves classification and fusion. The model has been improved to form the ARFCM data fusion model. Then, we select the evaluation indexes of urban tourism scenic spot management satisfaction and build the evaluation system of urban tourism scenic spot management satisfaction based on multiple data fusions. Finally, gender differences, age differences, importance, and other indicators of tourist satisfaction are selected to evaluate the management level of urban tourism scenic spots. The p-value of the t-test on staff service satisfaction is 0.008, the p-value of the t-test on scenic spot price satisfaction is 0.01, and the p-value of the t-test on scenic spot comprehensive service satisfaction is 0.03. This paper’s research provides strong support and a scientific basis for improving the management level of urban tourism scenic spots.