bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Software-Based Lifetime Prediction of Lithium Batteries Using Deep Learning for Wireless Networks
Authors: Hasanuzzaman Md. Sarkar 
Published: January 2022

Abstract
The operation of Wireless Sensor Networks (WSNs) is constrained by a number of factors, one of the most important of which is available energy. Electrochemical batteries are commonly used to power sensor nodes. The operating temperature and discharge current values have a significant impact on the stored energy in battery devices. As a result, estimating their voltage/charge behavior over time, which are important factors for the implementation of energy-conscious policies, becomes challenging. To this end, this paper proposes a RUL prediction model based wireless networks that integrates the three internal states of battery capacity, impedance and temperature, and introduces a two-way long and short-term memory network to learn the time correlation of the three state data. The goal of this research is to develop a software-based method for estimating the state of charge and voltage of batteries in WSN nodes using a temperature-dependent analytical battery model. The equivalence between dropout technology and Bayesian variational inference technology is used to quantify the uncertainty of RUL prediction results, and the 95% confidence interval and probability density distribution of the prediction results are obtained, and the influence of different dropout rates on the prediction uncertainty is analyzed. Impact. The experiment shows that the comparison experiment of four different deep learning model frameworks and two internal state input schemes verifies the effectiveness of the learning method based on the two-way long and short-term memory network.
Modulation of The Infrared Optical Properties of VO 2 Thin Film Fabricated By Ultrafast Pulsed Laser Deposition For Applications In Thermochromic Smart Windows
Authors: Barimah Eric Kumi , Boontan Artitsupa , Steenson David P. , Jose Gin 
Published: January 2022

Abstract
The authors have requested that this preprint be removed from Research Square.
Fast detection, a precise and sensitive diagnostic agent for breast cancer
Authors: Wu Qiong , Liu Ningzhi , Qian Jiayi , Shu Jing , Zeng Liang , Zhang Hao , Wang Xicheng , Mei Wenjie 
Published: January 2022

Abstract
Background

Breast cancer targeting diagnostic agent with effective imaging ability is important in guiding plan formulation, prediction, and curative effect evaluation of tumors in clinic. A tumor-targeting nanoprobe based on the functional and programmable Liquid-Liquid phase separation of AS1411 promoted by Ru(II) complex RuPEP may develop into a potential phosphorescence probe to detect breast cancer cells, where AS1411 act as a tumor-targeting guidance moiety to distinguish tumor cells from normal cells and RuPEP act as a light-emitting element to highlight breast cancer cells.
Methods

Here we designed and constructed a nanoprobe AS1411@RuPEP, and the physicochemical and biochemical properties were characterized by TEM, AFM and EDS. The breast cancer targeting diagnostic capacity was evaluated by normal/tumor cell co-culture assay, tumor cells targeting tracking in xenograft model and cancerous area selectively distinguishing in human patient tissue.
Results

Further studies indicated that the nanoprobe exhibits excellent tumor-targeting imaging ability in vitro and in vivo by effectively recognize the over-expressed nucleolin (NCL) on the breast cancer cells membrane. Intriguingly, we discovered that the selectively enrichment of nanoprobe particles in tumor cells is related to ATP-dependent NCL transport processes that rely on the AS1411 component of nanoprobe to recognize NCL. Furthermore, preferential accumulation of nanoprobe is clearly differentiating the human breast cancer tissue surrounding non-cancerous tissue in histological analysis.
Conclusion

This study produce a potent nanoprobe can be used as a convenient tool to highlight and distinguish tumor cells in vivo, and indicate the tumorous grading and staging in human breast cancer patient pathological section, which provides an effective way for breast cancer diagnostic imaging by targeting recognize NCL.
Coupled fibromodulin and SOX2 signaling as a critical regulator of distant metastasis initiation in melanoma
Authors: oria victor oginga , Zhang Hongyi , Zito Christopher R. , Rane Chetan K. , Ma Xian-Yong , Tran Thuy T. , Adeniran Adebowale , Kluger Yuval , Sznol Mario , Bosenberg Marcus W. , Kluger Harriet M. , Jilaveanu Lucia B. 
Published: January 2022

Abstract
We aimed to study mechanisms controlling the transition from dormant to clinically relevant brain metastases, a critical process responsible for the majority of melanoma deaths. To this end, we developed in vivo models that accurately mimic this switch and identified novel molecular events that can be ascribed to their distinct phenotypes, latent or highly metastatic. Induction of a proliferative state at distant sites was associated with high levels of the stem-like/progenitor marker, SOX2, and required upregulation of FMOD, an extracellular matrix component, which modulates tumor-stroma interactions. Functional studies revealed a possible link between FMOD and SOX2; dual FMOD and SOX2 silencing nearly abolished brain metastasis and had a similar effect on distant metastasis to other sites. Our in vitro data suggests that FMOD and SOX2 cooperation plays an important role in tumor vasculogenic mimicry. Furthermore, we found that FMOD and SOX2 functional roles might converge at the activation of transcriptional co-factors YAP and TAZ, possibly via crosstalk with the tumor suppressor Hippo pathway. Finally, high expression of both genes in patient specimens predicted early development of brain metastasis. Thus, our study identifies FMOD and SOX2 cooperation as a novel regulatory mechanism that might be linked functionally to melanoma metastatic competence.
Effect of Pleasantness and Unpleasantness of Music on the Acceptable Noise Level
Authors: Nekoutabar Raha , Jalilvand Hamid , Mahdavi Mohammad Ebrahim , Ashayeri Hassan , Tabatabaee Mahdi 
Published: January 2022

Abstract
IntroductionMusic plays a major role in life—it can be a favorite, annoying, or even a distracting noise. Previous research has suggested that the processing of brain hemispheres is affected by the pleasantness/unpleasantness of music, which could be utilized as a signal or noise in auditory neuroscience. By using the acceptable noise level (ANL) test, which is the quantification of noise tolerance while listening to a running speech, we investigated whether pleasantness/unpleasantness of music affects the ANL results under monotic-listening and dichotic-listening conditions.DesignBased on the subjective scale scores, pleasant and unpleasant music (10 songs, three genres of classic, pop, and rock music) were selected as alternatives to babble noise or running speech for testing 50 subjects for seven monotic and dichotic listening conditions.ResultsWhile pleasant music changed the ANL significantly under monotic listening conditions, the higher level of babble noise was tolerated, and both characteristics of music pleasantness and unpleasantness changed ANL significantly for various dichotic conditions. The range of the ANL for dichotic conditions is wider than that for monotic conditions.ConclusionMusic can affect the ANL results in terms of pleasantness and unpleasantness for both monotic and dichotic listening conditions, with a greater effect on dichotic conditions, indicating the role of hemispheric specification in emotional music processing.
Elevated Circulating Levels of Phenylacetylglutamine in Stroke Patients With T2D Are Linked to Specific Gut Microbiota
Authors: Xia Jian , Wei Minping , Huang Qin , Yu Fang , Ying Yuanlin , Luo Yunfang , Feng Xianjing , Liao Di , Zhao Tingting , Huang Qing , Feng Jie 
Published: January 2022

Abstract
Background Type 2 diabetes (T2D) aggravates the injury of ischemic stroke (IS). The gut microbiota-related metabolite phenylacetylglutamine (PAGln) has been shown to elevate in plasma of patients with T2D and promote thrombosis. However, the alterations of gut microbiota and PAGln levels in stroke patients with T2D remain unclear. Therefore, our study aimed to explore the differences in gut microbiota and its metabolite PAGln between IS patients with and without T2D.Methods In our study, 35 IS with T2D (IS-T2D group), 50 IS patients without T2D (IS group), and 29 healthy controls (HC group) were recruited from December 2019 to December 2020. Fecal samples were collected and analyzed using 16S rRNA high throughput sequencing, and plasma samples were subjected to targeted metabolomics to detect metabolite PAGln. Plasma PAGln levels of rats with transplantation of fecal microbes from patients were assessed. Results Our results showed that compared with the IS group, the relative abundances of Proteobacteria, Verrucomicrobiota, Enterobacteriaceae, and Klebsiella were enriched in the IS-T2D group. The plasma PAGln levels in IS-T2D patients were significantly higher than those in IS patients. Correlation analysis showed that plasma PAGln levels were significantly correlated with Enterobacteriaceae, Verrucomicrobiota, and Klebsiella, which were enriched in IS-T2D patients. Further studies demonstrated that plasma PAGln levels were positively correlated with the concentration of NETs, and NETs levels were increased in a dose-dependent manner according to PAGln levels. In addition, the rats transplanted with fecal microbes from IS-T2D patients developed more severe brain injury and higher plasma PAGln levels compared to the rats transplanted with fecal microbes from IS patients. Moreover, a prediction model based on the differential relative abundances of microbiota, plasma PAGln levels, and NETs levels was constructed to discriminate IS-T2D from stroke patients. Conclusions Our results suggest that the gut microbiota is imbalanced and its metabolite PAGln levels are increased in stroke patients with T2D, and T2D potentially aggravates stroke injury via an inflammatory response, which is associated with gut microbiota and its metabolite PAGln modulation.
The Effect of Long-Haul COVID-19 Towards Domains of The Health Related Quality of Life Among Recovered Hospitalized Patients
Authors: Trihandini Indang , Muhtar Manendra , Sakti Dea Allan Karunia , Erlianti Chintya Putri 
Published: January 2022

Abstract
Background: People with long-haul COVID-19 could experience various health problems, from mild to more severe ones. This research aimed to identify the effect of long-haul COVID-19, specifically on the Quality of Life domains, experienced by COVID-19 patients who have been discharged. Method: Data collection was carried out online, using data from DKI Jakarta hospitalized patients who have been confirmed with and recovered from SARS-CoV-2 infections. We selected patients who have a minimum of 28 days after being hospitalized for COVID-19 positive. Logistic regression technique was used to analyze the data. The questionnaire used in this research contained questions regarding long-haul COVID 19 symptoms and domains of Quality of Life, which were measured by WHOQOL-BREF. Prior to the data collection, we tested the questionnaire with 30 recovered patients who were hospitalized outside DKI Jakarta. Result: In total of 172 recovered inpatients who filled out the questionnaire correctly and aged 18 years and above, were selected by random sampling. Almost one-third (30.2%) of the recovered inpatients had long-haul COVID 19, with 23.8% experiencing one long-haul symptom and 6.4% experiencing more than one symptom. This research also showed that the long-haul effects of COVID-19 affected almost all domains of Quality of Life except the environmental one. Age, gender, and marital status were covariates for the association between long-haul COVID 19 and The Quality of Life. Conclusion: Continuing health services after the patient is discharged from the hospital, is an important program for COVID-19 survivors because it can prevent a decline in the Quality of Life among patients due to the long-haul COVID 19.
The burden of COPD in China and its provinces: Findings from the Global Burden of Disease Study 2019
Authors: Yin Peng , Wu Jiayuan , Wang Lijun , Luo Chaole , Liu Jiangmei , Liu Yunning , Qi Jinlei , zheng Weilin , Zhou Maigeng , Lai Tianwen 
Published: January 2022

Abstract
Background In China, chronic obstructive pulmonary disease (COPD) was accounted for a quarter of the global COPD population and has become a large economic burden. However, the comprehensive picture of the COPD burden, which could inform health policy, is not readily available for all of the provinces of China. Here, we aimed to describe the burden of COPD in China, providing an up-to-date and comprehensive analysis at the national and provincial levels, and time trends from 1990 to 2019.Methods Following the methodology framework and general analytical strategies used in the GBD 2019, we analyzed the incidence, prevalence, mortality, and disability-adjusted life years (DALYs) attributable to COPD across China and the corresponding time trends from 1990 to 2019, stratified by age and province. We also presented the contribution of risk factors (e.g., smoking, ambient particulate matter, and occupational risks) to COPD-related mortality and DALYs. The association between COPD burden and socio-demographic index (SDI) were also evaluated. Results From 1990 to 2019, the incidence and prevalence of COPD increased by 61.2% and 67.8%, respectively, whereas the number of deaths and DALYs owing to COPD decreased. The age-standardized rates (ASRs) of COPD burden continuously decreased from 1990 to 2019. The crude rates of COPD burden dramatically increased with age and reached a peak in the older than 95 years age group. In 2019, the leading risk factor for COPD mortality and DALYs was tobacco use in the whole population, but ambient particulate matter pollution was the most significant risk factor in females. At the provincial level, the ASRs of COPD burden was significantly associated with the SDIs, with the highest ASRs in the western provinces with low SDIs. ConclusionsAlthough the ASRs of COPD burden in China substantially decreased at the national and provincial levels from 1990 to 2019, absolute numbers of COPD incidence and prevalence are still rising, indicating that COPD remains an important public health problem in China. Geographically targeted considerations should be developed to enhance COPD health and reduce the COPD burden throughout China and in specific provinces.
Free-filed soil response to bidirectional horizontal non-uniform ground motion from multi-point shaking table tests
Authors: Han Junyan , Guo Zhike , Zhong Zilan , Naggar M. Hesham El , Miao Huiquan , Du Xiuli 
Published: January 2022

Abstract
This paper assesses the dynamic nonlinear free-field soil response under bidirectional horizontal non-uniform excitation through a series of multi-point 1g shaking table tests. The soil bed was enclosed in an innovative soil box supported by an array of three shake tables and was subjected to uniform and non-uniform ground motions in one and two horizontal directions. The soil response to bidirectional and unidirectional excitations, both uniform and non-uniform, were compared and discussed in terms of acceleration time history and Fourier spectra, acceleration amplification factor and soil settlement, as well as shear stress-shear strain behavior. The comparison of soil responses to bidirectional and unidirectional shakings demonstrated that the trends of peak acceleration amplification factors are similar along soil depth, but the response to bidirectional shaking is increasingly higher along the soil profile towards the ground surface, especially for uniform excitation. The variations of soil settlement, shear stress-strain and damping curves under bidirectional excitation were similar to that under the longitudinal excitation; however, they were much different than those observed under the transverse excitation. The soil damping in Y-direction under non-uniform excitation was larger than that under uniform excitation. These different site response characteristics under bidirectional non-uniform excitation should be properly considered in the seismic design of extended infrastructure.
The mitochondria-associated membrane protein PACS2 promotes mitophagy and energy metabolism to maintain right cardiac function in hypobaric hypoxia exposure
Authors: Yang Jie , Sun Mengjia , Chen Renzheng , Liu Chuan , Zhang Jihang , Gao Xubin , Yang Yuanqi , Ding Xiaohan , Cheng Ran , He Chunyan , Bian Shizhu , Yuanfang Zhengyuan , Ye Xiaowei , Wu Boji , Huang Lan 
Published: January 2022

Abstract
Hypobaric hypoxia (HH) is the primary challenge at high altitude. Prolonged HH exposure impairs right cardiac function. Mitochondria-associated membrane (MAM) plays a principal role in regulating mitochondrial function under hypoxic conditions, but the mechanism remains poorly understood. In this study, proteomics analysis identified that PACS2, a key protein in MAM, and mitophagy were down-regulated in HH conditions. Metabolomics analysis indicated suppression of aerobic oxidation of glucose and fatty acids. Cardiomyocyte Pacs2 deficiency disrupted MAM formation and endoplasmic reticulum (ER)-mitochondria calcium flux further inhibiting mitophagy and mitochondrial energy metabolism during HH exposure. Overexpression of Pacs2 reversed these effects. Cardiac-specific knockout of Pacs2 exacerbated mitophagy inhibition, cardiomyocyte injury and right cardiac dysfunction induced by HH. Knock-in of Pacs2 recovered HH-induced RV structural and functional impairment. Thus, PACS2 is essential for protecting cardiomyocytes through mechanisms of ER-mitochondria calcium flux, mitophagy, and mitochondrial energy metabolism, thereby maintaining right cardiac function at high altitude.
Logistics Distribution for Path Optimization Using Artificial Neural Network and Decision Support System
Authors: Yu Xu 
Published: January 2022

Abstract
Deep learning techniques are developing rapidly and are promising solutions for various problems. The rapidity of society has led to a common problem faced by companies in the logistics market: real-time logistics and distribution path optimization. This paper establishes a model for the logistics distribution path optimization problem, which aims to improve the traditional algorithm's optimization capability under complex urban road conditions. A detailed introduction is made to each part of the model, introducing weight updates to the ant algorithm for optimization, solving the unreasonable problem of the ant algorithm's setting of road parameters, and proposing the DBNTFPO algorithm. Relevant applications of deep learning technology are analysed to explore the relationship between deep learning technology and the real-time distribution of vehicle paths as an optimization problem. Finally, the challenges issued by the real-time logistics distribution path optimization problem to deep learning are drawn out using a decision support system. Finally, the effectiveness and feasibility of this paper's algorithm in practical logistics distribution are demonstrated through example analysis.
The Noninvasive Positive Airway Pressure Ventilation Therapy System: Modeling and MATLAB-based Investigating
Authors: Yuan YueYang , XIE Lixin , ZHOU Li , HU Xingshuo , LIU Wei , DAI Zheng 
Published: January 2022

Abstract
Background: The noninvasive positive airway pressure ventilation (NPPV) has been widely applied in therapy for the respiratory patient in acute respiratory distress syndrome (ARDS) and chronic obstructive pulmonary disease (COPD), etc. Objective: In order to help clinician to investigate the technologies and measures of NPPV, a therapy system model included the respirator, breathing circuit and patient was designed. Methods: Consequently, the mathematical sub-models of respirator, breathing circuit and mask, and respiratory airway were developed. With these sub-models, the ventilation system model of NPPV was prepared. The MATLAB-Based simulation experimental platform of NPPV system was set up to conduct the simulation experiments. In addition, by using the active servo lung ASL5000, a physical experiment platform was designed for comparative tests. Both of simulated experiments and physical experiments were operated with the simulated patient in ARDS, COPD and patient without spontaneous breathing. Results: The simulated experimental outputs are coincident with the physical experimental outputs (P ≥ 0.31 with TTEST, R ≥ 0.92 with CORREL). Conclusions: The experimental results substantiated that the therapy system model of NPPV is operational and workable. With this system model, it will benefit clinicians and researchers to conveniently promote the development of NPPV.
Construction of Potential miRNA-mRNA Regulatory Network in AMI Plasma by Bioinformatics Analysis
Authors: Yang Fuyu , Gao Shihao , Meng Guoxin , Zhang Wei , Zhou Tao 
Published: January 2022

Abstract
Background: Acute myocardial infarction (AMI) has become the main cause of incidence rate and mortality worldwide. More and more evidences indicate that abnormally expressed microRNAs (miRNAs) are involved in the pathogenesis of AMI. However, comprehensive studies on miRNA-mRNA regulatory networks in AMI plasma are still lacking.Results: In the above three datasets, a total of 5 DEMs with downregulated expression were screened. Sp1 and EGR1 may regulate most down regulated DEM. 1074 downstream target genes were predicted. The predicted target genes of DEM were mainly enriched in PI3K/Akt signal pathway, mTOR signal pathway, Hippo signal pathway, AMPK signal pathway and HIF-1 signal pathway. By constructing DEM-hub gene network, it was found that most hub genes may be regulated by miR-142-3p, miR-375 and miR-190b. Among the top 10 hub genes, the expression of STAT3 and PTEN was consistent with that in GSE66360 dataset.Conclusion: This study constructed a potential miRNA-mRNA regulatory network in the blood of AMI for the first time, which provides a new perspective for the Pathogenesis and treatment of AMI.
Correlation between anxiety symptoms and perception of quality of life in women with more than 24 months after undergoing bariatric surgery
Authors: Kikuchi Jeane Lorena Dias , Carvalhal Manuela Maria de Lima , Costa Ana Paula da Silva , Brígida Jairisson Augusto Santa , Paracampo Carla Cristina Paiva , Gomes Daniela Lopes 
Published: January 2022

Abstract

Purpose
To analyze the correlation between anxiety symptoms and perceived quality of life in women with more than 24 months after undergoing bariatric surgery.
Methods
Cross-sectional, descriptive and analytical study, carried out with women who underwent bariatric surgery after at least 24 months. To assess the level of anxiety symptoms, the Beck Inventory was used and to assess the perception of quality of life, the Item Short Form Healthy Survey was applied.
Results
Of the 50 participants, 36.0% had reports indicative of moderate symptoms and 64.0% had severe symptoms of anxiety. The domains of quality of life with better perception were in the aspect of functional capacity and limitation due to physical aspects (p<0.000). In linear regression, a significant inverse correlation was found between the general emotional component of quality of life and anxiety score (β = -0.546; CI -1.419; -0.559; p=0.000) and between the general physical component of quality of life and anxiety score (β = -0.339; CI -0.899; -0.131; p= 0.010), both independent of weight regain and surgery time.
Conclusion
It was observed that moderate to severe anxiety symptoms seem to interfere with the perception of quality of life, regardless of weight regain and surgery time.