bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fetal QRS Extraction from Single-channel Abdominal ECG Using Adaptive Improved Permutation Entropy
Authors: Azar Farah Torkamani , Mansourian Nastaran , Sarafan Sadaf , Ghirmai Tadesse , Cao Hung 
Published: July 2023

Abstract
The fetal electrocardiogram (fECG), extracted from the abdominal ECG (aECG) signal of an expectant mother, provides vital information about the fetal condition. There is an increased interest in continuous fECG monitoring during pregnancy to ensure the well-being and development of the fetus. The implementation of continuous fECG monitoring devices necessitates robust and efficient signal processing techniques for extracting the fECG from the aECG. However, existing fECG extraction algorithms are not suitable for wearables due to the requirement of multi-channel signals and/or their high computational cost. In this paper, we propose a novel algorithm for fetal QRS extraction from a single-channel aECG signal, which is robust and computationally less complex. The algorithm is based on a novel Permutation Entropy (PE) method we developed and referred to as the Adaptive Improved Permutation Entropy (AIPE) method. To evaluate the performance of the proposed algorithm, we utilized our own clinical data obtained from a pilot study with 10 subjects, each recording lasting 20 minutes, as well as data from the PhysioNet 2013 Challenge bank with labeled QRS complex annotations. The proposed methodology demonstrates an average positive predictive value (PPV) of 91.0227\%, sensitivity (SE) of 90.4726\%, and F1-score of 90.6525\% from the PhysioNet 2013 Challenge bank, outperforming other methods. These results indicate that our proposed algorithm is reliable and effective, making it suitable for deployment in wearable devices for continuous home-based monitoring of unborn babies.
Associations of marital quality and sexual satisfaction in women with early marriage in Iran: a descriptive-correlational study
Authors: Zolfaghary Fatemeh , Adib-Rad Hajar , Agajani-Delavar Mouolud , Bakouei Fatemeh , kazem-aslani Mahboobe 
Published: July 2023

Abstract
Background
Child marriage occurs partly in most regions of the world and has long been a public health concern all over the world. The current study has been designed to investigate the associations of sexual satisfaction and marital quality in women with early marriage
Methods
This descriptive-correlational study was done on 70 married women under 18–20 years. Sampling was non-random, and the sampling method was stratified multistage. The data collection tools included questionnaires on women's demographic-fertility characteristics, marital quality, sexual satisfaction, sexual self-efficacy and social support. A significance level of P < 0.05 was set for the analysis.
Results
The results of the study showed that individuals with very good sexual satisfaction and high sexual self-efficacy had a non-distress marital quality (p = < 0.001). Based on Pearson’s correlation coefficient, sexual self-efficacy, and social support were significantly and positively correlated with marital quality (r = 0.73, p < 0.001 and r = 0.55, p < 0.001, respectively), and sexual satisfaction was significantly and negatively correlated with marital quality (r=-0.65, p < 0.001).
Conclusion
The findings of the present study showed that women with early marriage, high marital quality does not always ensure their favorable sexual satisfaction. Moreover, high sexual self-efficacy and social support cause favorable marital quality.
An adolescent case of ASXL3-related disorder with delayed onset of feeding difficulty
Authors: Arai Yuto , Okanishi Tohru , Okazaki Tetsuya , Awano Hiroyuki , Seyama Rie , Uchiyama Yuri , Matsumoto Naomichi , Tamasaki Akiko , Maegaki Yoshihiro 
Published: July 2023

Abstract

Background: ASXL3-related disorder, first described in 2013, is a genetic disorder with an autosomal dominant inheritance that is caused by a heterozygous loss-of-function variant in ASXL3. The most characteristic feature is neurodevelopmental delay with consistently limited speech. Feeding difficulty is a main symptom observed in infancy. However, no adolescent case has been reported.
Case presentation: A 14-year-old girl with ASXL3-related syndrome was referred to our hospital with subacute onset of emotional liability. Limbic encephalitis was ruled out by examination; however, the patient gradually showed a lack of interest in eating, with decreased diet volume. Consequently, she experienced significant weight loss. She experienced no symptoms of bulimia, or food allergy; therefore, avoidant/restrictive food intake disorder (ARFID) was clinically suspected.
Conclusions: We reported the first case of ASXL3-related disorder with adolescent onset of feeding difficulty. ARFID was considered a cause of the feeding difficulty.
Neural network assisted high-spatial-resolution polarimetry with non-interleaved chiral metasurfaces
Authors: Li Tao , Chen Chen , Xiao Xingjian , Ye Xin , Sun Jiacheng , Ji Jitao , Yu Rongtao , Song Wange , Zhu Shining 
Published: July 2023

Abstract
Polarimetry plays an indispensable role in modern optics. Nevertheless, the current strategies generally suffer from bulky system volume or spatial multiplexing scheme, resulting in limited performances when dealing with inhomogeneous polarizations. Here, we propose a non-interleaved, interferometric method to analyze the polarizations based on a tri-channel chiral metasurface. A deep convolutional neural network is also incorporated to enable fast, robust and accurate polarimetry. Spatially uniform and non-uniform polarizations are both measured through the metasurface experimentally. Distinction between two semblable glasses are also demonstrated. Our strategy features the merits of compactness and high spatial resolution, and would inspire more intriguing design for detecting and sensing.
Modeling the population dynamics of Rift Valley fever virus mosquito vectors in the western Mediterranean Basin
Authors: Drouin Alex , Balenghien Thomas , Durand Benoit , Aranda Carles , Bennouna Amal , Bouattour Ali , Boubidi Said C , Conte Annamaria , Delacour Sarah , Goffredo Maria , Himmi Oumnia , L’Ambert Grégory , Schaffner Francis , Chevalier Véronique 
Published: July 2023

Abstract
Rift Valley fever (RVF) is a zoonotic vector-borne disease mainly transmitted by mosquitoes, and present in Africa, the Arabian Peninsula, and the Indian Ocean. The endemic situation in Mauritania, and the recent outbreaks in Libya have raised concerns about the potential spread of the virus in the Mediterranean Basin, where competent mosquitoes are present. Because vector abundance is one of the drivers of RVF virus (RVFV) transmission, knowledge on species distributions and population dynamics is needed to implement entomological surveillance and to assess the risk of viral circulation. Here, we adapted a modeling framework of mosquito population dynamics to five species considered as possible RVFV vectors in the western Mediterranean Basin (Aedes caspius, Aedes detritus, Aedes vexans, Culex pipiens and Culex theileri). The mechanistic model used a daily time step and a 0.1° x 0.1° spatial resolution and was based on meteorological data along with published vector distribution maps. We gathered mosquito trapping data from Spain, France, Italy and Morocco to calibrate the model and to evaluate its predictions. The temporal correlation between predicted abundance and observational data was satisfactory. Goodness-of-fit was better for Aedes species, thus offering the means to target the area of interest for the surveillance of Ae. caspius, a highly competent mosquito species.
Experimental Study on Failure Characteristics and Rheological Properties of Pillar-like Rock Samples with Different Shapes
Authors: GUO Wen-bing , WANG Bi-bi , TAN Yi , ZHAO Gao-bo , BAI Er-hu , GUO Ming-jie , WEN Peng , MA Zhi-bao , YANG Wei-qiang , Wu Dong-tao 
Published: July 2023

Abstract
The stability of coal pillar is extremely important to the control of rock strata movement and surface subsidence. It is of great significance for mining design to analyze the stability and failure characteristics of coal and rock pillars left after mining and to study the failure characteristics and rheological properties of coal and rock with different shapes. In this paper, based on uniaxial compression and rheological tests on rock samples, the rheological properties of rock samples with different shapes were discussed by using the nonlinear theoretical mechanics and damage theory, and the rheological mechanical characteristics of coarse yellow sandstone samples under the action of different free surface areas and the same loading contact area were investigated by means of experimental research, theoretical analysis and numerical simulation. The following conclusions were drawn: The failure characteristics and dynamic change process of rock samples with different shapes under the same loading contact area are obtained by uniaxial compression test and multi-stage rheological loading. The uniaxial compressive strengths of rock samples with the same loading contact surface area and different free surface areas are inversely proportional to their free surface areas. For the round sample, the stress level in the rheological test is obviously lower than the instantaneous peak uniaxial compression strength, while for the other samples, the stress level in the rheological test is close to the instantaneous peak uniaxial compression strength. For rock all these samples, both the ratio of steady-state rheological time to final failure time and the deformation degree decrease with the increase of free surface area.
Field Information Modeling (FIM)®: Beyond point cloud processing - The case of generative decision support for skeletal spatial structure systems
Authors: Maalek Reza , Maalek Shahrokh 
Published: July 2023

Abstract
This study investigated the application of point cloud processing using the Field Information Modeling (FIM)® framework for the generative redesign of existing skeletal space structure systems (SkS). Three new algorithms were proposed to (i) expand FIM® to include generative decision-support; (ii) generate as-built BIM for SkS; and (iii) modularize SkS designs with repeating patterns for optimal production and supply chain management. These algorithms incorporated a host of new AI-inspired methods, including support vector machine (SVM) for decision support; Bayesian optimization for neighborhood definition; Bayesian Gaussian mixture clustering for modularization; and Monte Carlo stochastic multi-criteria decision making (MCDM) for selection of the top Pareto front solutions obtained by the non-dominant sorting Genetic Algorithm (NSGA II). The algorithms were tested and validated on four real-world point cloud datasets to solve two generative modeling problems, namely, engineering design optimization and facility location optimization. It was observed that the proposed Bayesian neighborhood definition outperformed particle swarm and uniform sampling by 34% and 27%, respectively. The proposed SVM-based linear feature detection outperformed k-means and spectral clustering by 56% and 9%, respectively. Finally, the NSGA II algorithm combined with the stochastic MCDM produced diverse “top four” solutions based on project-specific criteria. The results indicate promise for future utilization of the framework to produce training datasets for generative adversarial networks that generate new designs based only on stakeholder requirements.
Clinicopathological and molecular features of non-small cell lung cancer that transform to small-cell lung cancer
Authors: Gao Qiqi , Xia Mengling , Chen Zhen , Zhang Lixin , Zhou Jie , Wu Shengjun , Chen Xinhua , Zheng Yulong 
Published: July 2023

Abstract
The resistance of epidermal growth factor receptor-mutated non-small cell lung cancer (NSCLC) to tyrosine kinase inhibitors has been confirmed to be partially mediated by histological transformation to small-cell lung cancer (SCLC). NSCLC in patients treated with immunotherapy and chemotherapy can also transform into SCLC. However, clinicopathological features and the molecular pathogenesis of patients with transformation from NSCLC to SCLC remains unclear. Here, we analysed 14 patients in whom NSCLC transformed to SCLC after treatment in our centre, reviewed the relevant literature, and further elaborated on its features. It is suggested that C > T decreased and C > A increased after transformation and transformed SCLC originate from the major clones of the initial NSCLC. The mutation rate of p53 and RB1 in transformed small cell carcinoma was lower than that in de novo SCLC.
Approach for determining micro-strength parameters of rock based on Particle Flow Code
Authors: Miao Luli , Liu Xinrong , Fu Yan 
Published: July 2023

Abstract
Discrete Element Method (DEM) has been successfully utilized to model rock behavior based on Particle Flow Code (PFC), which is extensively employed in solving various problems related to rock engineering and geomechanics. Therefore, a convenient method for selecting appropriate microparameters of PFC for model generation is necessary. The present study aims to develop a novel approach that calculates proper micro-strength parameters for the Contact Bond Model (CBM). Firstly, based on Plackett–Burman (PB) design, qualitative research is conducted and it is found that the main factors that influence the Brazilian tensile strength is microscopic tensile strength. We analyzed the stress conditions of a Brazilian disc's vertical diameter using both continuum models and DEM. From this analysis, we establish a theoretical relationship between rock tensile strength and micro-strength parameters. Subsequently, a large number of numerical Brazilian tests were conducted to obtain the statistical relationship between the geometric parameters of balls, micro-strength parameters and the Brazilian tension strength. The results of the numerical simulation were then used to refine the theoretical equation mentioned above, resulting in a modified equation for rock tensile strength and micro-strength parameters. Finally, after verification, we confirm the feasibility of the method in this paper.
From the detection of monitoring anomalies to the probabilistic forecast of the evolution of volcanic unrest: an entropy-based approach
Authors: Marzocchi Warner , Sandri Laura , Ferrara Salvatore , Selva Jacopo 
Published: July 2023

Abstract
Owing to the current lack of plausible and exhaustive physical pre-eruptive models, often volcanologists rely on the observation of monitoring anomalies to track the evolution of volcanic unrest episodes. Taking advantage from the work made in the development of Bayesian Event Trees (BET), here we formalize an entropy-based model to translate the observation of anomalies into probability of a specific volcanic event of interest. The model is quite general and it could be used as a stand-alone eruption forecasting tool, or to set up conditional probabilities for methodologies like the BET and of the Bayesian Belief Network (BBN). The proposed model has some important features worth being remarked: i) it is rooted in a coherent logic, which gives a physical sense to the heuristic information of volcanologists in terms of entropy; ii) it is fully transparent and can be established in advance of a crisis, making the results reproducible and revisable, providing a transparent audit trail that reduces the overall degree of subjectivity in communication with civil authorities; iii) it can be embedded in a unified probabilistic framework, which provides an univocal taxonomy of different kinds of uncertainty affecting the forecast and handles these uncertainties in a formal way. Finally, for the sake of example, we apply the procedure to track the evolution of the 1982-1984 phase of unrest at Campi Flegrei.
A Lightweight Hybrid Vision Transformer Network for Radar-based Human Activity Recognition
Authors: Huan Sha , Wang Zhaoyue , Wang Xiaoqiang , Wu Limei , Yang Xiaoxuan , Huang Hongming , Dai GanE. 
Published: July 2023

Abstract
Radar-based human activity recognition (HAR) offers a non-contact technique with privacy protection and lighting robustness for many advanced applications. The introduction of artificial intelligence (AI) technology encouraged the effort to develop deep learning (DL) for radar-based HAR. These methods employ the micro-Doppler signal because of its unique correspondence with human activity characteristics. Traditional methods give insufficient consideration of the HAR network's lightweight while focusing on recognition accuracy. In this paper, an efficient network based on a lightweight hybrid Vision Transformer (LH-ViT) is proposed to address the HAR accuracy and network lightweight simultaneously. Feature Pyramid architecture is applied for the multi-scale feature extraction for the micro-Doppler map. Feature enhancement is executed by the stacked Radar-ViT subsequently, in which the fold and unfold operations are added to lower the computational load of the attention mechanism. The convolution operator in the LH-ViT is replaced by the RES-SE block, an efficient structure that combines the residual learning framework with the Squeeze-and-Excitation network. Experiments based on two human activity datasets indicate our method's advantages in terms of expressiveness and computing efficiency over traditional methods.
Effects of physical exercise interventions on cognitive function in Parkinson’s disease: an updated systematic review and meta-analysis of randomized controlled trials
Authors: Kim Ryul , Kang Nyeonju , Lee Tae Lee , Lee Hanall , Ko Do Kyung , Lee Joon Ho , Shin Heehyun , Lim Dabin , Jun Jin-Sun , Byun Kyeongho , Park Kiwon , Jeon Beom 
Published: July 2023

Abstract
It remains unclear whether and how physical exercise affects cognitive function in patients with Parkinson’s disease (PD). Here, we aimed to determine whether physical exercise interventions can improve cognitive function, including overall performance and specific domains, in these patients and to provide potential evidence on how cognitive benefits can be optimized by exercise prescriptions. This systematic review and meta-analysis included 761 patients from 21 randomized controlled trials. Physical exercise interventions showed positive effects on global cognitive function (standardized mean difference [SMD] = 0.69; 95% confidence interval [CI] = 0.31 to 1.06; P < 0.001) and, to a lesser extent, executive function (SMD = 0.94; 95% CI = 0.05 to 1.83; P = 0.039). Combined exercise type, exercise interventions of light-to-moderate intensity with at least 60 min in duration, and of any frequency or period, were beneficial to the global cognitive function. These findings suggest clear cognitive benefits of physical exercise in patients with PD. At least 60 min a day of combined exercise programs on as many days of the week as feasible may be recommended as the non-pharmacological therapeutic option to improve cognitive function.
Spatial distribution, risk assessment and sources of heavy metals in roadside soils exposed to the Zhengzhou-Kaifeng intercity railway in Huanghuai Plain, China
Authors: Duan Haijing , Peng Chaoyue , Liu Yanhong , Guo Chen , Wang Yangyang , Wang Yulong 
Published: July 2023

Abstract
Heavy metal accumulation in soil can seriously harm human health, and it is necessary to identify the accumulation status and access the potential risks for local pollution control and sustainable economic development. This study evaluated the pollution level, spatial distribution, potential risk and sources of soil heavy metals including As, Co, Cr, Cu, Zn, Pb, Ni, and Cd along the Zhengzhou-Kaifeng intercity railway and compared pollution characteristics in north side soils with south side soils of the railway. A total of 260 soil samples were collected from a section along the railway, and the average concentrations of As, Co, Cr, Cu, Zn, Pb, Ni, and Cd were 5.54, 10.58, 63.38, 24.40, 97.85, 60.63, 26.01, and 0.36 mg∙kg−1, respectively. In practice, only the average Zn and Pb contents in soils were slightly higher than their corresponding risk screening values. The heavy metal enrichment in the north side soils was marginally lower than that in the south side soils. The spatial distribution of soil heavy metals except Pb could be mainly influenced by the different land use types. The geoaccumulation index and potential ecological risk of a single heavy metal indicated that Cd was the major contaminant with moderate pollution and high ecological risks in the south side soils and none to moderate pollution and moderate ecological risks in the north side soils. However, the mean multimetal potential ecological risk values suggested that the north side soils were at low ecological risks and the south side soils were at moderate ecological risks. The comprehensive non-carcinogenic risks and total carcinogenic risks for adults were low and acceptable, respectively. Combined Pearson correlation analysis, PCA, and APCS-MLR analyses identified that the contributions of natural sources, mixed sources of industrial and traffic activities, agricultural activities, and other sources were 57.49%, 21.44%, 12.67% and 8.40%, respectively, and the major soil pollution Cd was mainly related to mixed sources of industrial and traffic activities. Therefore, continuous soil heavy metal monitoring is essential to elucidate the long-term railway operation effect on soil heavy metal accumulation.
Encapsulated Papillary Carcinoma of the Breast Clinicopathological Features and Management: Could Sentinel Lymph Node Biopsy Be Exempted?
Authors: Ozcan Cumhur , Dag Ahmet , Benli Sami , Tuncel Ferah 
Published: July 2023

Abstract

Background
Any papillary lesion in the breast presents a diagnostic and therapeutic challenge. Encapsulated papillary carcinoma (ECP) is one of the rare types of breast cancer. Evidence-based guidelines are sparse. For this reason, there is no complete clarity in the diagnosis and treatment management, and there are not enough studies in the literature. This study aims to examine the necessity of sentinel lymph node sampling in the management of ECP in line with the patients' clinicopathological data.
Methods
We retrospectively screened with EPC in our clinic between January 2012 and March 2022. We recorded and statistically evaluated the patients' demographic, clinical, radiological, pathological, and treatment management.
Results
Sixty four EPC patients were identified. The final pathologic evaluation revealed that 19 patients (18.7%) had pure EPC, 27 patients (43.7%) had EPC with associated DCIS, and 18 patients (37.5%) had EPC associated with invasion. The mean age was 61, and 2 patients were male. Breast-conserving surgery was performed in 62 patients, and simple mastectomy was performed in 2. SLNB was found to be positive in only 1 of the patients. Sixty-three patients with EPC were hormone receptor-positive, one patient was triple negative, and they were associated with invasion. No death was in any patient; one had local recurrence, and a mastectomy was performed.
Conclusions
The overall prognosis and long-term survival of EPC is excellent. Our study and current literature indicate routine SLNB is overtreatment since surgical excision with negative margins is sufficient in EPC cases, and lymph node metastasis is rare, even with an invasive component.