bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-origins of pathological theta oscillation from neuron to network inferred by a hybrid data and model study with cubature Kalman filter
Authors: Wang Jixuan , Deng Bin , Wang Jiang , Lei Xiang , Liu Chen 
Published: September 2023

Abstract
The brain rhythm is strongly associated with the brain function. Alzheimer’s disease (AD) is majorly reflected by the brain rhythm switching from the alpha band (9–12 Hz) to the theta band (4–8 Hz), accompanying with the loss of brain function. However, extracting the implicating intrinsic characteristic variations of the brain network by utilizing the Electroencephalogram (EEG) information is extremely difficult. Kaman observer, as an effective Bayesian technique, can provide a visualization service for probing the intrinsic characteristics underlying the pathological theta oscillations. This work first establishes an excitation-inhibitory neural network model and explores the role of the proportion of the inhibitory neurons and inhibitory synapses in the pathological theta oscillation. The results indicate that the apoptosis of inhibitory neurons and accompanied loss of inhibitory synaptic weight are the main neural bases of the frequency decrease of neural oscillation. Then, we further explore the intrinsic spiking characteristic by considering spike frequency adaptation (SFA) to the inhibitory neurons. The results show that the SFA reduces the firing rate of neurons, which facilitates the theta rhythm. The enhancement of SFA current by increasing time constant of its gating variable can further decrease the theta frequency from 7 Hz to 4 Hz. Finally, for this high-dimensional nonlinear excitation-inhibitory neural network model, cubature Kalman filter (CKF) is employed to estimate the above potential variations from the noisy EEG information. The observation results show that both the proportion of inhibitory neurons and the inhibitory SFA current present descending trends as the degree of AD increases. Collectively, the generation of AD state is speculated to rely on multi-origin inhibitory intrinsic characteristics: a significant attenuation on the proportion of inhibitory neurons, synaptic weight and SFA current. The observation result by CKF from EEG verifies the simulation results from the model. We investigate the parameter effects from both the forward model simulation and the inverse estimation process of network parameters using EEG data. This work enhances the understanding of the role of inhibitory intrinsic characteristics on pathological theta oscillation and provides an effective method to decode the dynamics underlying the neural activities.
Three-Dimensional Covalent Organic Frameworks Constructed from Irregular Polyhedral Building Blocks
Authors: Fang Qianrong , Chang Jianhong , Zhang Zeyue , Zheng Haorui , Li Hui , Suo Jinquan , Ji Chunqing , Chen Fenqian , Valtchev Valentin , Qiu Shilun , Sun Junliang 
Published: September 2023

Abstract

Developing three-dimensional (3D) covalent organic frameworks (COFs) has paramount significance across numerous applications. However, the conventional design approach that relies on regular building blocks significantly restricts the structural diversity of COFs. In this study, we successfully designed and synthesized two 3D COFs, named JUC-643 and JUC-644, employing a novel strategy based on irregular 8-connected (8-c) building blocks. By using a continuous rotation electron diffraction technique combined with powder X-ray diffraction patterns, their structures were solved and revealed a unique linkage with double helical structure, a phenomenon previously unreported in COFs. In order to precisely describe the topology, these structures should be deconstructed into the unprecedented [4+3(+2)]-c nets instead of the traditional [8(+2)]-c or [6(+2)]-c net. Furthermore, one of the materials (JUC-644) has demonstrated exceptional adsorption capability towards C3H8 and n-C4H10 (11.28 and 10.45 mmol g-1 at 298 K and 1 bar respectively), surpassing the adsorption performance of all known porous materials, and breakthrough experiments have also highlighted the remarkable C3H8/C2H6 and n-C4H10/C2H6 selectivity. This pioneering concept of incorporating irregular building blocks in 3D COFs introduces a promising avenue for designing intricate architectures while enhancing their potential application in the recovery of C2H6 from natural gas liquids.
Influence of the Magnetic Flux on the Dynamics of a self-sustained System: Analytical, numerical and analogical investigations
Authors: DANG-RA C. , chamgoue A. cheage , WOUAPI M.K. , FILATRELLA G. , YAMAPI R. 
Published: September 2023

Abstract
This paper investigates the nonlinear dynamics of a ferroelectric enzyme-substrate
reaction modeled by a bi-rhythmic Van der Pol oscillator coupled to a magnetic
flux. We derive the equilibrium points and study their stability,
analyze some bifurcation structures and the variation of the corresponding
Lyapunov exponents. The phenomena of symmetric attractors and the
anti-monotonicity are observed. An increasing the magnetic ﬂux stabilizes the equilibrium points,
tends to control chaotic regimes, and aﬀect regular and quasi-regular ones.
As the magnetic ﬂux increases, the amplitude of oscillations around the equilibrium
point decreases and the limit cycles at the hopf bifurcation tend to disappear. Further increases
the magnetic flux giving rise to chaotic dynamics.
The electrical circuit and analogical simulations are performed using PSpice software.
Analogical and numerical results agree.
Biographical Data : A Bibliometrics Study and Visualization Analysis via CiteSpace
Authors: Xu Xiaoqing , Song Guandong 
Published: September 2023

Abstract
Biographical data, a measure of individual tendency to future behavior based on their past life experiences, was often used in the fields of human resources and psychology, and had been expanding to other fields in recent years. A large number of literature on biographical data had been published internationally in the past decades. 464 literature was retrieved from the database of Web of Science core from 1951 to 2022 as the main, quantitatively visualized and analyzed the characteristics of literature, research hotspots, research process in this research field, pointed out the current problems to be solved with the help of CiteSpace. The study found that: Fluctuating upward trend in annual publication of biographical data literature, the authors, the regional scale of cooperation network had been initially formed, the overall view of Europe and the United States to pay more attention to the exploration of biographical data. The study of biographical data dimensions had always been a research hotspot. At present, biographical data still had problems such as information falsification, personal privacy leakage, quantification difficulties. Countries should strengthen academic cooperation to improve the current problems and promote the innovative development of biographical data in the future.
Automated Diagnosis of Schizophrenia based on EEG and Spatial–temporal Residual Graph Convolutional Network
Authors: Xu Xinyi , Zhu Geng , Li Bin , Lin Ping , Li Xiaoou , Wang Zhen 
Published: September 2023

Abstract

Schizophrenia (SZ), a psychiatric disorder for which there is no precise diagnosis, has had a serious impact on the quality of human life and social activities for many years. Therefore, an advanced approach for accurate treatment is required. In this study, we provide a classification approach for SZ patients based on a spatial-temporal residual graph convolutional neural network (STRGCN). The model primarily collects spatial frequency features and temporal frequency features by spatial graph convolution and single channel temporal convolution respectively and blends them both for the classification learning, in contrast to traditional approaches that only evaluate temporal frequency information in EEG and disregard spatial features across brain regions. The spatial frequency features are then obtained by single channel temporal convolution, and the processed matrix is flattened after multiple convolutions and input to the classification model. We conducted extensive experiments on the publicly available dataset Zenodo and our own collected dataset. The classification accuracy of the two datasets on our proposed method reached 96.32% and 85.44%, respectively. In the experiment, the dataset using delta has the best performance in the classification results in the sub-bands.
Hypotension Prediction Index for Prevention of Intraoperative Hypotension in Patients Undergoing General Anesthesia: A Randomized Controlled Trial
Authors: Lai Chih-Jun , Cheng Ya-Jung , Han Yin-Yi , Hsiao Po-Ni , Lin Pei-Lin , Chiu Ching-Tang , Lee Jang-Ming , Tien Yu-Wen , Chien Kuo-Liong 
Published: September 2023

Abstract

Background
Intraoperative hypotension is a common side effect of general anaesthesia. Here we examined whether the Hypotension Prediction Index, a novel warning system, reduce the severity and duration of intraoperative hypotension during general anaesthesia surgery.
Methods
This randomized controlled trial was conducted at the anesthesiology department of a tertiary referral hospital in Taipei, Taiwan. Sixty eligible patients were randomized 1:1 to hemodynamic management with Hypotension Prediction Index guidance (intervention group) or standard of care (control group). Intraoperative hypotension treatment was initiated at a Hypotension Prediction Index > 85 in the intervention and a mean arterial pressure < 65 mmHg in the control group. Primary outcome was the severity of hypotension, defined as a time-weighted average mean arterial pressure < 65mmHg. Secondary outcomes were postoperative complications and mortality within 30 postoperative days.
Results
The intervention group exhibited a significantly lower median time-weighted average mean arterial pressure < 65mmHg (0.02 [Q1, Q3: 0.003, 0.08] vs. 0.37 [0.20, 0.58], P < 0.001) and fewer postoperative gastrointestinal symptoms (6 vs. 14, P = 0.028). The median duration from alarm to first intraoperative hypotension treatment in the intervention group (42.78 [20.4, 79.0] s) was significantly shorter than that silent alarm to first treatment in the control group (200.16 [99.7, 261.8] s) group (P < 0.001).
Conclusions
Hypotension Prediction Index guidance appears to be effective in preventing intraoperative hypotension and reducing postoperative gastrointestinal symptoms.
Trial registration
ClinicalTrials.gov (NCT04966364); 202105065RINA; Date of registration: July 19, 2021; The recruitment date of the first patient: July 22, 2021
Nur77 Inhibit β-catenin Expression to Mediate Hepatoblastoma Progression and Therapeutic Effect of Cisplatin
Authors: Zhou Jianfeng , Liu Xingyu , Yin Hanjun , Zhou Yong , Xu Zhongya , Zhou Kai , Li Tao , Fang Yongjun , Shen Qiyang 
Published: September 2023

Abstract
Hepatoblastoma (HB) is the most common malignant tumor in children under 5 years old, but its pathogenesis remains unclear. Nur77 has been reported to be an important regulator for cancer progression in various cancer types. This study found that Nur77 was downregulated in HB tumors, compared with paracancer tissue. Knockout or overexpression of Nur77 in HB tumor cell line HepG2 and HuH6 could significantly enhance or inhibit the proliferation, migration and invasion of tumor cells both in vitro and in vivo. Further studies illustrated that Nur77 regulated the proliferation of tumor cells by affecting the expression of β-catenin. Nur77 agonist Cns-A effectively enhanced the therapeutic effect of cisplatin on HB tumors both in vitro and in vivo. This study proved that Nur77 could act as a tumor suppressor gene in HB tumors, providing a new direction for improving the clinical responses of HB.
Extruding transcription elongation loops observed in high-resolution single-cell 3D genomes
Authors: Xie Xiaoliang , Wu Honggui , Zhang Jiankun , Tan Longzhi 
Published: September 2023

Abstract
Inside human nuclei, genes are transcribed within a highly packed genome, whose organization is facilitated by cohesin-mediated loop extrusion. However, how cohesin folds transcribed genes and affects transcription remain unclear. Here we report that highly expressed long genes form a “stripe-like” structure termed transcription elongation loop (TEL), which aligns between the transcription start site (TSS) and the transcription termination site (TTS). We proved that TELs formation results from the joint interactions between cohesin-mediated loop extrusion, RNA polymerase II (RNAPII) and topoisomerases. By improving the spatial resolution of single-cell 3D genome mapping to 5 kb with micrococcal nuclease (MNase) in our new single-cell Micro-C (scMicro-C) method, we directly observed the loop expansion of TELs. Furthermore, we demonstrated that TEL-associated genes have higher transcriptional burst frequency and cohesin modulates transcriptional bursting by facilitating the release of RNAPII pausing. Thus, our results demonstrated the fundamental role of cohesin in transcription regulation.
Development and validation of artificial intelligence-based analysis software to support screening system of cervical intraepithelial neoplasia
Authors: Ouh Yung-Taek , Kim Tae Jin , Ju Woong , Kim Sang Wun , Jeon Seob , Kim Soo-Nyung , Kim Kwang Gi , Lee Jae-Kwan 
Published: September 2023

Abstract
Cervical cancer, the fourth most common cancer among women worldwide, often proves fatal and stems from precursor lesions caused by high-risk human papillomavirus (HR-HPV) infection. Accurate and early diagnosis is crucial for effective treatment. Current screening methods, such as the Pap test, liquid-based cytology (LBC), visual inspection with acetic acid (VIA), and HPV DNA testing, have limitations, requiring confirmation through colposcopy. This study introduces CerviCARE® AI, an artificial intelligence (AI) analysis software, to address colposcopy challenges. It automatically analyzes Tele-cervicography images, distinguishing between low-grade and high-grade lesions. In a multicenter retrospective study, CerviCARE® AI achieved a remarkable sensitivity of 98% for high-risk groups (P2, P3, HSIL or higher, CIN2 or higher) and a specificity of 95.5%. These findings underscore CerviCARE® AI's potential as a valuable diagnostic tool for highly accurate identification of cervical precancerous lesions. Its integration into clinical practice could enhance early detection and reduce screening disparities, especially in regions with limited access to skilled colposcopists. While further prospective research is needed to validate its clinical utility, this AI system holds promise for improving cervical cancer screening and lessening the burden of this deadly disease.
Effect of substitutional metallic impurities on the optical absorption properties of TiO2
Authors: Cisternas Eduardo , Aguilera–del–Toro R.H. , Aguilera-Granja F. , Vogel E. 
Published: September 2023

Abstract

(TiO2) is both a natural and artificial compound which is transparent to visible and nearinfrared light. However, it could be prepared with other metals substituting for Ti thus changing its properties. In this article we present density-functional calculations for Ti(1− x )AxO2, where A stands for any of the 8 following substitutional impurities Fe, Ni, Co, Pd, Pt, Cu, Ag and Au, based on the rutile structure of pristine TiO2. We use a fully unconstrained version of the densityfunctional method with the generalized gradient approximation plus the U exchange and correlation as implemented in the QuantumEspresso free distribution. Within the limitations of a finite size cell approximation we report the band structure, energy gaps and absorption spectra for all these cases. Rather than stressing precise values we point to report two general features: location of the impurity levels and general trends of the optical properties through the eight different systems. Our results show that all these substitutional atoms lead to the presence of electronic levels within the pristine gap, and that all of them produce absorptions in the visible and near-infrared ranges of the electromagnetic radiation. Such results make these systems of interest for the fabrications of solar cells. Among the variety of results, Ni and Ag are apparently the most promising substitutional impurities to achieve the better performance to capture the solar radiation at the planet’s surface.
Effect of an Educational Program about Mentorship Competencies on Nurse Mentors' Performance at Port Said Healthcare Authority Hospitals: An intervention study design (pre-test and post-test one group)
Authors: Hagrass Heba Moussa , Ibrahim Sanaa Abd El-Azim , Anany Rasha Ibrahim , El-Gazar Heba Emad 
Published: September 2023

Abstract
Background: Mentorship is a vital part of the nursing profession to improve role transition, job satisfaction, and job retention while facilitating socialization, emotional well-being, and the acquisition of new skills.
Aim: The present study aimed to evaluate the effect of an educational program about mentorship competencies on nurse mentors' performance at Port Said Healthcare Authority hospitals.
Methods: An intervention study design (pre-test and post-test one group) was used to conduct the study at seven Healthcare Authority hospitals in Port Said Governorate, Egypt. The study subjects were consisted of a purposive sample of 30 nurse mentors and 60 intern nursing students. Data were collected using three tools consisted of the Mentor Knowledge Questionnaire, Mentor Competencies Instrument (MCI), and Nurse Mentor Performance Assessment.
Results: the post-test scores of mentorship competencies and performance after implementation of the educational program significantly improved in the studied nurse mentors 56.1 ±13.2, 60.5 ±4.9 compared with pre-test scores with 37.1 ±4.1, 49.7 ±6.9 (P<0.001). As determined by Cohen’s d test, the effect size of an educational program is quite large on the nurse mentors’ performance.
Conclusion: The educational program about mentorship competencies was significantly improve mentorship performance of the studied nurse mentors.
Trial Registration Number (TRN)
The study protocol was approved by the Research Ethics Committee of the Faculty of Nursing, Port Said University (code number: NUR 13/2/2022) (10).
Optimal placement of distributed diesel generators for enhancing the performance of the Iraq distribution network
Authors: Khalaf Saad , Cipcigan Liana , Muhssin Mazin T. 
Published: September 2023

Abstract
The optimal integration of distributed generators such as diesel generators into the Iraq power systems is significant in providing flexibility in localized areas and may support to reduce the number of blackouts. The optimal location and sizing of the diesel generators is a suitable way for improving the operation of distribution networks and increase the generation supply. This paper presents a methodology to obtain the suitable size of diesel generators at the suitable bus locations in the power distribution network of Ziyounah district in the Baghdad area. An optimization tool based GA with an objective of improving the network performance, and reducing the real power losses, stabilizing the grid voltage has been presented. This optimization technique also contributes to reducing acoustic noise level from existing generators that are integrated at the neighbourhood area. Results showed that the selection of capacities and locations of generators based on the highest value of Network Performance Index (NPI) helps to overall system improvement such as voltage profile improvement, and real loss reduction. The result also showed that the obtaining of the suitable locations for connection the diesel generators with the help of NPI leads to savings in electricity due to reduction in the real power loss of the distribution network.
Lifestyle and fruit consumption: an investigation of university students in Uganda
Authors: Kiggwe Musa , Ntayi Joseph , Nabatanzi-Muyimba Annet K. , Byarugaba Jotham , Timothy Esemu , Munene John C. 
Published: September 2023

Abstract

Purpose
Healthy food consumption involves regular fruit intake. Inadequate fruit consumption is associated with disease burdens such as cancer, hypertension, stroke, and diabetes. As such, an individual may choose to avoid health repercussions by adjusting his/her lifestyle. Individuals with long-term healthy lifestyle habits are likely high fruit consumers. However, few studies seem to have focused on the relationship certain aggregated lifestyle factors i.e. screen time; physical exercise; work, and sleep have with fruit consumption. Thus, the study sought to investigate the relationship between these aggregated lifestyle factors and fruit consumption of university students in Uganda.
Methods
The study used a correlational survey that was quantitative in nature. The study population covered 59,998 university students. We sampled 403 students using proportionate stratified random sampling. We collected data through face-to-face interviews using a questionnaire. We analyzed the data using SPSS (V23) and AMOS (V23) software for correlational and Confirmatory factor tests.
Results
The results revealed that a university student’s lifestyle significantly influenced his/her fruit consumption (β = 5.470, t-value = 5.481, p-value = 0.000). The squared Multiple Correlation is 0.176.
Conclusion
Considering the health benefits of fruit consumption and basing on the study results, health educators need to encourage the fruit consumption through adjusting one’s lifestyle (exercises, screen time, work life and sleep time).