bluuebunny/crossref_metadata_2025_split huggingface dataset:
Health Care Team and Patient Perspectives to Peri-Discharge Care in COPD and OSA Overlap
Authors: Stewart Nancy H. , Koza Anya L. , Chen Maggie Y. , Press Valerie G. , Castro Mario , Hughes Dorothy 
Published: April 2023

Abstract
Background Chronic obstructive pulmonary disease (COPD) is highly prevalent with obstructive sleep apnea (OSA) (20–65%). Patients with combined COPD/OSA overlap are at higher risk for readmission and death compared to patients with COPD or OSA alone. COPD readmission reduction programs exist, yet optimal approaches exist. Current readmission programs for COPD rarely address co-morbid health conditions, such as OSA.Objective The aim of this study was to determine peri-discharge barriers in COPD/OSA overlap from the perspective of the acute health care team and patient.Methods Participants were recruited via word of mouth and by in-hospital acute care team members. Patient participants had diagnoses of COPD and OSA confirmed by chart review of pulmonary function studies and in-lab sleep polysomnogram by study team members. Patient consent was performed prior to hospital discharge, and study conducted 72 hours post-discharge via video-conference. Acute care team members were consented via video conference just prior to study participation. All participants were asked to comment on barriers and solutions concerning COPD/OSA acute care and peri-discharge experiences. Interviews were conducted at an urban academic medical center from November 2020 - February 2021.Results There were 35 participants, which included 27 acute care team members representing 6 practice areas, and 8 patients. Of the acute health care workers, most were < 50 years old (81.5%), female (74.1%), White (81.5%), and non-Hispanic (100%). The patient respondents were > 50 years old (100%), male (62.5%), White (62.5%), non-Hispanic (87.5%), and had an average number of Emergency Department (ED) visits in the 2020 calendar year of ~ 8, and ~ 8 hospitalizations. Emerging barrier themes included coordination and communication, efficiency, access and experience, increasing specialty knowledge, and team consensus and management.Conclusions The interprofessional healthcare team should recognize these areas as opportunities for improvement of knowledge and care. Given the medical complexity of patients with COPD and co-morbid conditions such as OSA, including frequency of readmissions, healthcare systems should value these acute care team insights as focus opportunities for change and improvement.
Research on dynamic characteristics of transient deployment mechanism with translational clearance joint under large eccentric load
Authors: Zhai Guangqing , Xiao Hong , Yang Guang , Guo Hongwei , Tao Jianguo , Liu Rongqiang , Deng Zongquan 
Published: April 2023

Abstract
In this paper, in order to obtain the influence of translational clearance joint on the dynamic characteristics transient of deployment mechanism underload large unbalance, the contact state and relative motion of slider and guide rail are firstly analyzed to illustrate the dynamics of slider and guide rail during the transient motion of the multi-output mechanism under eccentric load. The relative position change and the existing contact form; and based on the existing contact force model, an improved contact force model is proposed. The improved model is sensitive to the material recovery coefficient, the clearance size between the slider and the guide rail, and the initial collision velocity. A certain accuracy is still maintained when the contact collision speed is high; then, based on the improved contact force model, a dynamic model of a large eccentric load transient mechanism with translational clearance joint is established, and the dynamic characteristics are analyzed for it, compared with the ideal state, the transient output angular acceleration oscillates violently, the maximum value is 1.5 times of the ideal state. The transient impact contact force has a sudden increase, and the maximum value is 20 times of the ideal state; and then obtain the influence law of the transient motion speed, eccentric load, the clearance size and contact stiffness on the transient dynamic characteristics of transient deployment mechanism under large eccentric load through calculation. Finally, it is verified by experiments that under a certain gap size, the faster the transient motion speed, the more severe the output angular acceleration oscillation of the mechanism. The law is used to optimization design of similar transient mechanisms with moving pairs and partial load.
Characterizing Shear Modulus by Torsional Pendulum Test Based on Different Theoretical Torsional Rigidities
Authors: Wang Chih Hsing 
Published: April 2023

Abstract
The shear modulus of an isotropic material is usually calculated using Young’s modulus and Poisson’s ratio, which are normally obtained by the tension test. This work applies the torsional pendulum test with a much simpler process to characterize the shear modulus of rectangular bars. The periods of the torsional pendulum for the tested bars are measured to calculate their torsional rigidities using only a homemade fixture consisting of a pendulum weight and two cell phones. The shear moduli of each bar are calculated based on different theoretical torsional rigidities and compared with those calculated via Young’s modulus and Poisson’s ratio. The theoretical torsional rigidities include those proposed by Timoshenko, Tsai and Daniel, Tsai and Wang et al. and thin plate simplification.
Analysis of Climate Factors on Suicide Cases in East Java Province Indonesia in 2015-2018
Authors: Perwira Satria , Yudianto Ahmad 
Published: April 2023

Abstract
Background Suicide is a health problem in developing countries like Indonesia, especially in East Java Province. Some reports suggest that there is a link between suicide and climatic conditions. This implies evidence that climatic conditions tend to influence suicide rates. So far, little is known about the correlation between suicide and climatic conditions, especially in Indonesia, which has two seasons.Methods The research aims to determine the relationship between rainfall, air temperature, air humidity, and wind speed on the incidence of suicides in East Java Province. This study uses a time trend ecological study design where the unit of analysis is months and years for four years. Univariate analysis using the normality test, bivariate analysis using the Pearson correlation test. Data analysis using secondary data. Climate data uses data from the Central Statistics Agency for East Java Province, while data on suicide cases uses data from the General Hospital of Doctor Soetomo Surabaya and the Bhayangkara Hospital.Results There was a relationship between rainfall and suicide cases per month (p = 0.000) and a strong relationship (r = 0.846) with a positive pattern. There is a relationship between air humidity and suicide cases per month (p = 0.028) and a strong relationship (r = 0.634) with a positive pattern. Monthly air temperature, monthly wind speed, annual rainfall, annual air temperature, yearly air humidity, and annual wind speed are unrelated to suicide cases.Conclusions It is concluded that monthly precipitation and monthly air humidity are associated with monthly suicide cases. It needs the cooperation of the East Java Provincial Health Office, related agencies, and the community in utilizing climate data to prevent suicide cases in the future.
Similarities and difference of cardiac function, structure, myocardial deformation, myocardial fibrosis between symptomatic peripartum cardiomyopathy at different clinical stage and dilated cardiomyopathy
Authors: Fu Hang , Sun Ran , Zhang Heng , Xu Huayan , Wen Lingyi , Xu Hong , Xu Rong , Xie Linjun , Zhang Kun , Zhou Zhongqin , Zhang Lu , Xu Ke , Yang Zhigang , Zhao Lei , Zhao Shihua , Guo Yingkun 
Published: April 2023

Abstract

Background Similarities and differences in imaging phenotype between symptomatic peripartum cardiomyopathy(SPPCM) and dilated cardiomyopathy(DCM) haven’t been fully understood. This study aimed to compare cardiac structure, function, deformation, and myocardial fibrosis between SPPCM at different clinical stage and DCM, and to explore the uniformity of segmental deformation dysfunction furtherly.Methods In this study, 58 acute SPPCM patients(Cardiac Magnetic Resonance(CMR) performed within 6 months), 29 chronic SPPCM(CMR performed beyond 6 months), 45 female DCM patients were retrospectively enrolled parameters of cardiac function, structure, deformation, and fibrosis were compared among them.Results Left ventricle(LV) volume and structure were similar between acute SPPCM and female DCM(all p > 0.05). Chronic SPPCM had higher LV volume(all p < 0.05) and larger transverse LV diameter(70.0 ± 9.2 mm, p < 0.001) than acute SPPCM and female DCM despite LVEF was similar among the three groups. Additionally, female DCM had better right ventricle stroke volume(32.0 ± 10.5 ml/m2, p < 0.001) and ejection fraction(37.1 ± 20.6%, p = 0.006) compared with acute and chronic SPPCM. In terms of myocardial deformation, female DCM tended to had higher global strain indexes than acute and chronic SPPCM, and some segmental strain indexes in female DCM were significantly higher. Prevalence of LGE was significantly lower in acute SPPCM(25.9%) than chronic SPPCM(58.6%) and female DCM(51.1%), p = 0.004. After quantification of LGE, we found that global LGE extent tended to increase in acute PPCM, chronic PPCM, and female DCM gradually(p = 0.581). Female DCM had a more extensive LGE in AHA 9 segments than acute SPPCM. LGE mainly located in basal and middle part of left ventricle.Conclusion Acute SPPCM had similar LV structure and function with female DCM. Chronic SPPCM had a more dilated LV than acute SPPCM. RV systolic function in female DCM was better than acute and chronic SPPCM. Some segmental strain indexes in female DCM were significantly higher. Acute SPPCM patients have lower prevalence of LGE compared with chronic SPPCM and female DCM patients.
Humanin activates integrin αV-TGFβ axis and leads to glioblastoma progression
Authors: Jeong Yangsik , Hua Tuyen , Vo Vu , Om Jiyeon , Han Sangwon , Cha Seung-Kuy , Park Kyu-Sang , Ha Cuong 
Published: April 2023

Abstract
The molecular mechanism of glioblastoma multiforme (GBM) spread in the brain remains poorly understood. Here, we investigated the mechanism underlying intracranial GBM progression. We found that the mitochondria-derived peptide, humanin, enhances GBM progression via intra-tumoral activation of the integrin alpha V (ITGAV)–TGF beta (TGFβ) signaling axis. In GBM tissues, humanin was significantly upregulated in the tumor area relative to the corresponding normal region. Multiple in vitro pharmacological and genetic approaches revealed that humanin activates the ITGAV pathway, inducing cellular attachment and filopodia formation, aiding the subsequent migration of attached glioblastoma cells via intracellular TGFβR signaling activation. Furthermore, our in vivo orthotopic GBM model supports the pro-tumoral function of humanin, showing a correlation between poor survival and aggressive invasiveness. Tumor protrusions and induced angiogenesis were noted in the humanin-treated group compared with the control. Public databases analysis revealed that genes in the ITGAV–TGFβR axis were significantly associated with poor prognosis in patients with GBM. Collectively, these findings provide evidence of humanin as a pro-tumoral factor, making it a novel biological target for treating GBM.
Radial shearing interferometry with in-built polarization phase shifting for three-dimensional imaging and quantitative phase analysis of transparent phase objects in macro and microscopic order
Authors: Sengupta Chandan , Bhattacharya Kallol 
Published: April 2023

Abstract
In this exploration, we present a compact and easy-to-set imaging system to analyze the quantitative phase information of macroscopic and microscopic transparent phase samples (TPS) using a Radial shearing interferometric (RSI) design. The proposed setup introduces a wire grid polarizer (WGP) as a beam-splitting optical element in a triangular cyclic configuration to render the two counter-propagating beams linearly polarized in orthogonal directions. These beams are made to pass through the samples in a counter direction. The focusing lens to image the sample is aligned in such a way that either the p-polarized beam illuminates the phase sample in a focused position with respect to the imaging lens position and the remaining s-polarized beam is far apart from its focal length or vice-versa. So polarization phase shifting (PPS) is implemented to generate a three-dimensional (3-D) phase pattern which is digitally captured in a charge-coupled device (CCD) camera to yield the sample phase. The proposed setup is robust, sufficiently tolerant to ambient vibrations, and shows encouraging experimental results using the minimum optics.
Talin1 promotes HCC progression by regulating NRG1/PI3K/AKT axis
Authors: Liu Jialong , Lu Yao , Zheng Bowen , Huang Deng , Song Juxian , Wang Baolin , Zheng Shuguo 
Published: April 2023

Abstract
Hepatocellular carcinoma (HCC) is the world's third leading cause of cancer death, with metastasis being the predominant cause of treatment failure. We aim to explore the role of Talin1 in HCC and its underlying mechanism. We conducted bioinformatic analysis, qRT-PCR, Immunohistochemical staining, and western blot to detect the mRNA and protein expression levels of Talin1 in HCC tissues and adjacent samples from databases and our clinical center. Cell viability assays (CCK8 assay), transwell assays, and Xenograft tumor models were used to assess the effect of Talin1 on HCC cell proliferation, invasion, and migration both in vitro and in vivo. We also investigated the NRG1 protein, which is known to activate the PI3K/AKT pathway, to further elucidate the mechanism. Our results indicate that Talin1 is substantially more expressed in HCC tissues than in tumor-adjacent tissues in terms of both mRNA and protein levels. High expression levels of Talin1 were linked to poorer prognosis in HCC patients. Downregulation of Talin1 inhibited HCC cell proliferation and metastasis both in vitro and in vivo. Further, we found that Talin1 regulates NRG1, which activates the downstream PI3K/AKT pathway to facilitate HCC progression. Our findings suggest that Talin1 is an oncogene that regulates NRG1/ PI3K/AKT pathway to promote HCC progression. These findings provide new insight into HCC development and may offer novel treatment strategies for HCC.
A CAR-T response prediction model for r/r B-NHL patients based on a T-cell subset nomogram
Authors: Zhang Xiaomei , Sun Rui , Zhao Yifan , Cao Xinping , Guo Ruiting , Zhang Yi , Zhao Mingfeng 
Published: April 2023

Abstract
Background
Chimeric antigen receptor-modified T-cells (CAR-T) have shown good clinical benefit in the treatment of patients with refractory or relapsed B-cell non-Hodgkin’s lymphoma (r/r B-NHL). However, the factors that influence the clinical response to CAR-T therapy are not fully understood. The aim of this study is to investigate the independent influencing factors of the efficacy of CAR-T cell infusion in the treatment of r/r B-NHL and to establish an early prediction model.
Methods
A total of 43 r/r B-NHL patients were enrolled in this retrospective study to develop and verify the accuracy of the predictive model for CAR-T treatment response. The patients’ pre-treatment baseline data, hematological indicators, T-cell collection baseline indicators, and other general data were recorded, and the patients’ treatment response was mainly observed. The independent factors of complete remission (CR) and partial remission (PR) were investigated by univariate and binary logistic regression analysis, and the prediction model of the probability of CR was constructed according to the determined independent factors. Receiver operating characteristic (ROC) curve and calibration plot were used to assess the discrimination and calibration of the established model.
Results
Univariate analysis and binary logistic regression analysis of 43 patients showed that the ratio of Tcm and Tn in Tc cells was an independent risk factor for response to CAR-T cell therapy in r/r B-NHL. The AUC of Tcm in Tc and Tn in Tc nomogram model was 0.914 (95%CI 0.832-0.996), the sensitivity was 83% and the specificity was 74.2%, which had excellent predictive value.
Conclusions
The ratio of central memory T cells (Tcm) and naïve T cells (Tn) in cytotoxic T cells (Tc) was found to be able to predict the treatment response of CAR-T cells in r/r B-NHL, we have established a nomogram model for the assessment of CD19 CAR-T therapy response which presented a high specificity and sensitivity.
Preoperative CT semantic features predict lymph node metastasis of part-solid nodules in non-small cell lung cancer: a multicenter retrospective study
Authors: Yang Yang , Wang Jian , Niu Zhongfeng , Mao Guoqun , Zhu Xiandi , Xu Zhihua , Yang Dengfa , Wang Hui , Xu Maosheng , Xie Zongyu 
Published: April 2023

Abstract
Background Lymph node metastasis (LNM) is the most common way of metastasis of lung cancer, and it is an independent risk factor for long-term survival and recurrence of non-small cell lung cancer (NSCLC) patients. The purpose of this study was to explore the value of preoperative computed tomography (CT) semantic features in differential diagnosis of LNM in part-solid nodules of NSCLC.Methods A total of 955 NSCLC patients confirmed by postoperative pathology were retrospectively enrolled from January 2019 to March 2023. The clinical, pathological data and preoperative CT images of these patients were investigated and statistically analyzed in order to explore the risk factors of LNM. Multivariate logistic regression was used to select independent risk factors and establish different prediction models. 10-fold cross-validation was used for model training and validation. The area under the curve (AUC) of receiver operating characteristic curve (ROC) was calculated and the Delong test was performed to compare the predictive performance between models.Results LNM occurred in 68 of 955 patients. After univariate analysis and adjustment for confounding factors, smoking history, pulmonary disease, solid component proportion, pleural contact type, and mean diameter were screened as independent risk factors for differential LNM. The image predictors model established by four independent factors of CT semantic features except smoking history showed a good diagnostic efficiency for LNM. Its AUC in the validation group was 0.857, and the sensitivity, specificity and accuracy of the model were all 77.6%.Conclusions Preoperative CT semantic features have good diagnostic value for LNM of NSCLC. The image predictors model based on pulmonary disease, solid component proportion, pleural contact type and mean diameter has excellent diagnostic efficacy, and can provide non-invasive evaluation for clinical practice.
Big Data Sports Fitness Detection based on Cloud Storage-Oriented Data System
Authors: Xu Jia 
Published: April 2023

Abstract
Nowadays, there are more and more motor vehicles in cities, and with the deteriorating world environment and depletion of resources, low-carbon travel has become a new trend, and green fitness has become a link of sustainable and healthy development. Information data has increased rapidly, and the application of cloud storage has become more widespread. However, current cloud storage still has various problems, especially user information security issues. Therefore, in order to protect users' confidential information and data, information can be stored in the cloud in the form of cipher text. So if you want users to be able to retrieve the information they want in a large amount of data, you need to design a full-text ciphertext retrieval program. Another important function of cloud storage services is that each user can safely share data, which requires the existence of a safe and effective access control scheme. The current national fitness boom symbolizes that the people's pursuit of health is already a fashion, and outdoor hiking is a healthy, low-carbon and environmentally friendly fitness method. Walking in the city can not only promote the improvement of urban public facilities and the further optimization of the urban environment, but also promote the development of urban characteristic culture. Because hiking in the city has the dual effects of national fitness and environmental protection, it is very important for the rationalization and humanization of urban hiking. This paper selects and recognizes the open and shared city data, takes the path data of the hikers' movement as the research basis and research object, and organizes and analyzes the relevant data on the Google Earth data sharing platform.
Simulation of regional financial behavior patterns based on recommendation algorithm and machine learning
Authors: Han Yu , Zhang Yu 
Published: April 2023

Abstract
The rapid growth of regional economy can effectively solve the financial difficulties of some large enterprises, and can also provide important guarantees for the sustainable economic development of some regions. In modern financial regional entities, commercial banks, conglomerates, and third-party technology companies are the main modules. Financial development issues in different regions need to be addressed through the design of solutions. In the cross domain and even cross border activities of regional economy, it is necessary to integrate some existing financial tools, as well as financial services such as big data and digital technology, to integrate. In the construction of a new regional financial model, regional financial health is a major development issue, and it is necessary to take dredging regional financial development as an important field to promote the rapid development of the real economy. In recent years, learning in natural language processing has achieved cross era development. With the growth of the complexity and dynamics of network information, computer algorithms have become an important key issue in solving network information. Although high-quality recommendation algorithms have been widely used, in order to solve problems that traditional algorithms cannot solve, this paper proposes a machine learning based algorithm based on the needs of financial entities. At the same time, in order to enable the rapid development of finance, there is a new development model that conducts behavioral simulation calculations based on economic development in order to achieve coordinated economic development.
Performance Analysis of Mining Pool with Power-saving, Fault and Mining Competition
Authors: Cao Jian 
Published: April 2023

Abstract
Blockchain has emerged as a disruptive technology with potential applications in various industries. Although the proof-of-work (PoW) blockchain systems have worked so successfully, the mining pools in PoW-based blockchain systems have certain drawbacks: high power expenditure, mining competition and fault. It is essential to implement the power saving and evaluate the performance of the mining pool with these characteristics in PoW-based blockchain systems. In this paper, we consider a queueing system with sleep-wakeup, working breakdown and impatient strategies, that are suitable to {express well} power saving, fault and mining competition in the mining process. For our proposed system, by using a z-Transform approach, the closed-form expressions about various performance measures like the mean number of blocks and the mean confirmation time of block are obtained. Furthermore, we construct the power consumption function and the power-saving rate function to analyze the improvement of power-saving. In order to mitigate the negative effect which stems from the mining competition, we formulate the Nash bargaining game and obtain the Nash solution, which implies the optimal control of the computation power.