bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the Trend of UAV Communication Signal Indication System
Authors: Wang Wei 
Published: April 2021

Abstract
In recent years, with the application of high-definition video coding and decoding technology, high-precision satellite navigation technology, mobile base station positioning technology and wireless UAV wireless communication technology, the performance indicators and application scope of UA have been significantly improved. Whether it is industrial applications or specific applications, drones play an important role. With the continuous improvement of technical indicators, UAV wireless transmission technology needs further exploration and development. Although there is a lot of research on UAVs, there are still some shortcomings. Based on the AD9361 + ZYNQ7045 platform, this paper has completed the design and implementation of the UAV wireless transmission system. Although there are various integrated UAV wireless solutions on the market, the UAV communication frequency can be allocated to non-fixed frequency points that still do not meet the requirements, such as frequency band L, frequency band S or frequency band C. The design proposed in this paper is that the adjustable radio frequency range is 70MHz to 6GHz, which is sufficient to meet the application requirements of multiple communication frequency points. The UAV wireless transmission system proposed in this paper has strong scalability, wide application range and high integration, which has special reference significance for the design of UAV wireless transmission system. This article uses the flight control algorithm and PID control to analyze the signal range of the UAV communication signal indicating system and explore the future development trend. Through the method in this article, the UAV communication signal increased by 15%.
Application of Computer Intelligent Proofreading System in English Phrase Translation
Authors: Zou Yumei 
Published: April 2021

Abstract
To solve the problem of poor coherence, an intelligent proofreading system based on improved phrase translation model is proposed. Firstly, semantic ontology model is created by creating semantic ontology model and phrase translation combined translation algorithm. In addition, the overall design of the system. Through the overall architecture of the system, the software and hardware of the system are designed. The hardware design is mainly the search module, so as to improve the accuracy of the search. In the software module process, it mainly includes the system application framework, network topology, client, translator organization and management, online collaborative translation and other modules, and can support the translation and proofreading of multiple languages. Finally, the system is tested. The test results show that the system can meet the needs of users and improve the efficiency of proofreading.
Research on Enterprise Human Resource Management Innovation in Big Data Era
Authors: Wang Fang 
Published: April 2021

Abstract
With the rapid development of computer technology, the emergence of new media and intelligence has changed the traditional way of production and life. While bringing convenience to us, it also produces massive data. Therefore, big data technology emerges as the times require. Through the data integration and analysis ability of big data, it has an important impact on the development of enterprises, especially in the management of human resources, higher requirements. Therefore, this paper puts forward the research of human resource management innovation in the era of big data. This paper makes a detailed study on the traditional human resource management mode of enterprises, and finds that the existing management mode has obvious shortcomings such as incomplete overall planning and unreasonable performance appraisal. The big data technology can make up for these shortcomings. Based on big data technology, this paper puts forward an innovative attendance analysis algorithm. According to the actual needs of the existing enterprise human resource management, combined with the advantages of big data analysis, the algorithm solves the unreasonable problem of existing attendance analysis. In order to further verify the actual effect of big data human resource management mode, relevant investigation and evaluation are carried out. According to the survey results, the enterprise human resource management mode based on big data technology has been significantly improved in rationality, fairness, scientificity and so on, which can better meet the needs of enterprises for human resource management.
Computer Multimedia Technology in the Visual Psychology Experimental Teaching of Designing Color
Authors: Lv Shaohua 
Published: April 2021

Abstract
Designing color visual teaching is one of the most fundamental courses for students major in visual communication, and is a crucial course for student to master and control the color in a good way. Computer multimedia technology (CMT) is a prevailing teaching-aided way in recent years. This study is to explore the advantages of CMT in visual psychology experimental teaching of designing color. In this study, 87 teachers in visual communication teaching from 10 universities and colleges in Lanzhou City are selected as research objects, and they are interviewed with the purpose of knowing the current application of CMT in visual psychology experimental teaching of designing color. After interviewing, the summary and analysis on recorded information reveals that CMT can change the traditional teaching mode, enrich the current teaching content, reduce the writing pressure of teachers in blackboard, and enhance the innovation ability on color design of students. In addition, CMT can help students to display a work with current fashion colors, which can meet the market demand better. Finally, it can be concluded that CMT can be applied in visual psychology experimental teaching of designing color good, and even the whole field of education in a good way.
Design of Project Cost Information Management System Based on Intelligent Construction
Authors: Yang Min 
Published: April 2021

Abstract
With the rapid development of computer science and technology, artificial intelligence technology has penetrated into all disciplines and fields. In this paper, the application of artificial intelligence in the field of valuation is systematically studied. Taking the land price of a residential land sample as an example, the digital land price model based on Surfer is established, and further research ideas are put forward.
Research on Location Selection of Agricultural Products Logistics Distribution Center Based on Two-stage Combination Optimization Algorithm
Authors: Ma Li 
Published: April 2021

Abstract
The development of agricultural product logistics has a great impact on agricultural development. With the advancement of modern agriculture, agricultural product logistics is also facing important changes. On the basis of spatial analysis to determine the candidate address of the distribution center, this paper takes the lowest comprehensive cost as the objective function, establishes the distribution center location model, and solves it through the immune algorithm. On the basis of determining the distribution center, a distribution route optimization model with hard time windows for multiple distribution centers is established, and the tabu search method is used to solve the problem. According to the demand for time-sensitive fruit and vegetable agricultural products in a certain area and the actual circulation and distribution of fruit and vegetable agricultural products in newly developed enterprises, it is combined with the work done by the fruit and vegetable time-sensitive cold chain location planning model. Taking the grape distribution of Xinfadi Co., Ltd. in a certain area as an actual example of the model, using LINGO to solve and analyze the site selection model constructed in the paper, it verifies that the site selection plan for agricultural products that takes into account the characteristics of a complete cold chain and time-efficiency in this paper has a comprehensive low cost advantage.
Importance of WNT-dependent signaling for derivation and maintenance of primed pluripotent bovine embryonic stem cells
Authors: Xiao Yao , Amaral Thiago F , Ross Pablo J , Soto Delia A , Diffenderfer Kenneth E , Pankonin Aimee R , Jeensuk Surawich , Tríbulo Paula , Hansen Peter J 
Published: April 2021

Abstract
The WNT signaling system plays an important but paradoxical role in the regulation of pluripotency. In the cow, IWR-1, which inhibits canonical WNT activation and has WNT-independent actions, promotes the derivation of primed pluripotent embryonic stem cells from the blastocyst. Here, we describe a series of experiments to determine whether derivation of embryonic stem cells could be generated by replacing IWR-1 with other inhibitors of WNT signaling. Results confirm the importance of inhibition of canonical WNT signaling for the establishment of pluripotent embryonic stem cells in cattle and indicate that the actions of IWR-1 can be mimicked by the WNT secretion inhibitor IWP2 but not by the tankyrase inhibitor XAV939 or WNT inhibitory protein dickkopf 1. The role of Janus kinase-mediated signaling pathways for the maintenance of pluripotency of embryonic stem cells was also evaluated. Maintenance of pluripotency of embryonic stem cells lines was blocked by a broad inhibitor of Janus kinase, even though the cells did not express phosphorylated signal transducer and activator of transcription 3 (pSTAT3). Further studies with blastocysts indicated that IWR-1 blocks the activation of pSTAT3. A likely explanation is that IWR-1 blocks differentiation of embryonic stem cells into a pSTAT3+ lineage. In conclusion, results presented here indicate the importance of inhibition of WNT signaling for the derivation of pluripotent bovine embryonic stem cells, the role of Janus kinase signaling for maintenance of pluripotency, and the participation of IWR-1 in the inhibition of activation of STAT3.
Pattern recognition receptor-initiated innate immune responses in mouse prostatic epithelial cells
Authors: Yu Xiaoqin , Chen Ran , Wang Fei , Liu Weihua , Zhang Wenjing , Gong Maolei , Wu Han , Liu Aijie , Han Ruiqin , Chen Yongmei , Han Daishu 
Published: April 2021

Abstract
Three major pathogenic states of the prostate, including benign prostatic hyperplasia, prostate cancer, and prostatitis, are related to the local inflammation. However, the mechanisms underlying the initiation of prostate inflammation remain largely unknown. Given that the innate immune responses of the tissue-specific cells to microbial infection or autoantigens contribute to local inflammation, this study focused on pattern recognition receptor (PRR)-initiated innate immune responses in mouse prostatic epithelial cells (PECs). Primary mouse PECs abundantly expressed Toll-like receptor 3 (TLR3), TLR4, TLR5, melanoma differentiation-associated protein 5 (MDA5), and IFN-inducible protein 16 (p204 in mouse). These PRRs can be activated by their respective ligands: lipopolysaccharide (LPS) and flagellin of Gram-negative bacteria for TLR4 and TLR5, polyinosinic-polycytidylic acid (poly(I:C)) for TLR3 and MDA5, and herpes simplex virus DNA analog (HSV60) for p204. LPS and flagellin predominantly induced the expression of inflammatory cytokines, including tumor necrosis factor alpha (TNFA), interleukin 6 (IL6), chemokines monocyte chemoattractant protein-1 (MCP1), and C-X-C motif chemokine 10 (CXCL10). Poly(I:C) and HSV60 predominantly induced the expression of type 1 interferons (IFNA and IFNB) and antiviral proteins: Mx GTPase 1, 2′,5′-oligoadenylate synthetase 1, and IFN-stimulated gene 15. The replication of mumps virus in PECs was inhibited by type 1 IFN signaling. These findings provide insights into the mechanisms underlying innate immune response in the prostate.
Gravity and depth of social media networks
Authors: Guha Pritha , Bansal Avijit , Guha Apratim , Chakrabarti Anindya S 
Published: April 2021

AbstractStructures of social media networks provide a composite view of dyadic connectivity across social actors, which reveals the spread of local and global influences of those actors in the network. Although social media network is a construct inferred from online activities, an underlying feature is that the actors also possess physical locational characteristics. Using a unique dataset from Facebook that provides a snapshot of the complete enumeration of county-to-county connectivity in the USA (in April 2016), we exploit these two dimensions viz. online connectivity and geographic distance between the counties, to establish a mapping between the two. We document two major results. First, social connectivity wanes as physical distance increases between county-pairs, signifying gravity-like behaviour found in economic activities like trade and migration. Two, a geometric projection of the network on a lower-dimensional space allows us to quantify depth of the nodes in the network with a well-defined metric. Clustering of this projected network reveals that the counties belonging to the same cluster tend to exhibit geographic proximity, a finding we quantify with regression-based analysis as well. Thus, our analysis of the social media networks demonstrates a unique relationship between physical spatial clustering and node connectivity-based clustering. Our work provides a novel characterization of geometric distance in the study of social network analysis, linking abstract network topology with its statistical properties.
New onset of atrial fibrillation in cardiogenic shock
Authors: Santos H , Vieira T , Fernandes J , Ferreira AR , Rios M , Honrado T 
Published: April 2021

Abstract

Funding Acknowledgements
Type of funding sources: None.

Introduction
The development of cardiogenic shock (CS) is associated with worse prognosis, and can produce several hemodynamic manifestations. Then, is not surprised the manifestation of new-onset atrial fibrillation (AF) in these patients.

Purpose
Evaluate the impact of cardiovascular previous history, clinical signs and diagnosis procedures at admission as predictors of new-onset of AF in CS.

Methods
Single-centre retrospective study, engaging patients hospitalized for CS between 1/01/2014-30/10/2018. 222 patients with CS are included, 40 of them presented new onset of AF. Chi-square test, T-student test and Mann-Whitney U test were used to compare categorical and continuous variables. Multiple linear regression analysis was performed to evaluate predictors of new-onset AF in CS patients.

Results
CS patients without AF had a mean age of 61.08 ± 13.77 years old, on the other hand new-onset of AF patients in the setting of CS had a mean age of 67.02 ± 14.21 years old (p = 0.016). Nevertheless, no differences between the two groups was detected regarding the sex cardiovascular history (namely arterial hypertension, diabetes, dyslipidemia, obesity, smoker status, alcohol intake, previous acute coronary syndrome, history of angina, previous cardiomyopathy), neoplasia history, cardiac arrest during the CS, clinical signs at admission (like heart rate, blood pressure, respiratory rate), blood results (hemoglobin, leukocytes, troponin, creatinine, C-Reactive protein), left ventricular ejection fraction and the culprit lesion. New-onset of AF in CS patient had not impact in mortality rates. Multiple logistic regression reveals that only age was a predictor of new onset of AF in CS patients (odds ratio 1.032, confident interval 1.004-1.060, p = 0.024).

Conclusions
Age was the best predictor of new-onset AF in CS patients. The presence of this arrhythmia can have a hemodynamic impact, however, seems not influenced the final outcome.
Implantable loop recorder: experience of a center
Authors: Marques Pires C , Medeiros P , Oliveira C , Campos I , Flores M , Mane F , Arantes C , Magalhaes S , Rocha S , Rebelo A , Antunes N , Marques J 
Published: April 2021

Abstract

Funding Acknowledgements
Type of funding sources: None.

INTRODUCTION
Symptoms like syncope and palpitations are frequent and represent a diagnostic challenge. The implantable loop recorder (LR) is an important diagnostic tool, in selected cases.
AIM
To describe the main implantation indications of LR and to evaluate the diagnostic findings and therapeutic interventions.

METHODS
A retrospective study of patients (pts) that underwent LR implantation in our hospital from 2014 to 2019.
For each pt the indication for implantation, baseline characteristics, previous study, recorded tracing and interventions were evaluated.

RESULTS
A total of 52 pts were included, 56% women, with a mean age of 60 years old.
The implantation indications were recurrent syncope/ presyncope in 47 pts (90%) and palpitations in 5 pts (10%).
All pts had a baseline echocardiogram and electrocardiogram, with 90% in sinus rhythm. QRS complex and atrial-ventricular conduction was normal in 50% of the pts.
Previous to LR implantation, 46 pts (89%) had performed Holter, 19 (37%) carotid sinus massage, 14 (27%) Tilt table test, 29 (56%) stress test, 11(21%) ambulatory blood pressure monitoring and 9 (17%) electrophysiological study.
During the monitoring period, 27 pts (52%) had recurrence of the symptoms.
In this subgroup, we observed that 67% had a rhythmic cause capable of justified the symptoms, with a median of 5 months since implantation until diagnosis. In addition, the LR was useful in ruling out a rhythmic cause for symptoms in 33% of the cases.
In the 47 pts with syncope/presyncope: 6(13%) had sinus node dysfunction, 4 (9%) had atrioventricular conduction disturbance, 1(2%) had atrial fibrillation (AF) and 3 (6%) had ventricular dysrhythmias.
In the 5 pts with palpitations: 1(20%) had AF ad 3 (60%) had paroxysmal supraventricular tachycardia.
LR results led to cardiac device implantation in 13 pts (pacemaker-9, implantable cardioverter desfibrillator-4). In addition, 2 pts are waiting for electrophysiological study and eventual ablation and 3 pts initiated antiarrhythmic therapy, and those with new diagnosis of AF also initiated oral anticoagulants.

CONCLUSION
In this study, the implantation of LR was useful to clarify the cause of the symptomology in 52% of the pts.
In 35% of pts with symptom-rhythm correlation it ensured timely introduction of therapeutic approach with a positive impact on life quality.
In-hospital and long-term mortality in patients with arrhythmic storm
Authors: Garcia-Arribas D , Lopez De Sa E , Rosillo S , Caro J , Armada E , Carrion I , Ferrera C , Noriega FJ , Viana A 
Published: April 2021

Abstract

Funding Acknowledgements
Type of funding sources: Foundation. Main funding source(s): Beca para la Formación e Investigación en Cuidados Críticos Cardiológicos concedida por la Asociación de Cardiopatía Isquémica y Cuidados Críticos Cardiológicosde la SEC

Introduction
Available data on arrhythmic storm (AS) is usually obtained from retrospective observational studies based on series of patients (pts) with ICD or who undergo ablation. Therefore, selection bias limits the evidence regarding mortality and prognosis of this entity.
Purpose/ Methods
Describe in-hospital and long-term mortality of pts admitted between 2006 and 2020 for AS in the Acute Cardiac Care Unit (ACCU) of 2 tertiary hospitals in Spain.

Results
A total of 190 episodes of AS in 169 pts were retrospectively analysed. Baseline characteristics are depicted in Table 1. In-hospital mortality was 18.9%. Mortality in STEMI related AS was 44.2%, while in the rest of aetiologies was 6.1% (p &lt; 0.001). In-hospital cause of death was heart failure or cardiogenic shock (32.4%), refractory AS (20.6%), cardiac arrest due to pulseless activity (8.8%), severe postanoxic encephalopathy (14.7%), septic shock (8.8%), others (14.7%).
long-term follow-up was obtained in 154 pts. Among those patients who survived after the first episode of AS, median follow up was 2.85 years. Long term mortality was 49.7%. Long-term survival did not differ among STEMI related AS (8.30 years, 95% CI 5.62 to 10.98) and the rest of aetiologies (6.91 years, 95% CI 5.75 to 8.07), Log rank 0.33. Kapplan-Meier survival curves are presented in Figure 1.
Long-term cause of death was AS (8.3%), heart failure or cardiogenic shock (14.6%), cardiac arrest due to pulseless activity (4.2%), STEMI (2.1%), stroke (8.3%), cancer (10.4%), pneumonia and sepsis (22.9%) and unknown (29.2%).

Conclusion
In-hospital mortality in patients with AS requiring admission to an ACCU differs depending on the aetiology being worst in STEMI related AS. Long term mortality remains high and do not depend on the ethiology. Baseline CharacteristicsAge (SD) years66.5 (13.3)Male gender (%)141 (83.4)Previous VT ablation38 (22.4)Previous LVEF (SD)37.9 (13.1)Previous coronary artery disease (%)77 (45.5)Hypertrophic myocardiopathy (%)4 (23.7)Dilated myocardiopathy (%)24 (14.2)Previous Myocarditis (%)1 (0.6)Ventricular dysplasia (%)2 (1.2)Canalopathy (%)3 (1.8)ICD carrier (%)95 (55.6)Abstract Figure 1
Predictors of diuresis response to levosimendan administration in patients with acute heart failure
Authors: Plonka J , Bugajski J , Plonka M , Tycinska A , Gierlotka M 
Published: April 2021

Abstract

Funding Acknowledgements
Type of funding sources: None.
Levosimendan, a calcium sensitizer and potassium channel-opener, is appreciated for its effects on systemic and pulmonary hemodynamic and for the relief of symptoms in acute heart failure (AHF). Positive effects of levosimendan on renal function have been also described. The aim of the present analysis was to assess the predictors of the diuresis response to levosimendan administration in high risk acute heart failure patients.

Methods
We analysed 34 consecutive patients admitted with high risk AHF to one centre and treated in intensive cardiac care unit. Levosimendan was administered on top of other treatment as a 24-hour infusion of 12.5 mg total dose except for 7 patients (1 patient - terminated earlier due to intolerance, 5 patients – 48h infusion, 1 patient - 72h infusion). Decision of levosimendan administration was based on clinical status and left to attending physician. Diuresis and diuretic dosage before (24 hours) and after levosimendan infusion (48 hours) were taken into account for the present study.

Results
The AHF was primary of cardiac origin in all patients. In 6 (18%) it was due to recent acute myocardial infarction. In-hospital mortality was 24%. Median length of hospitalization was 26 days (range 6 to 107 days). Mean age of the patients was 66 ± 12 years, 25 (74%) were men. Mean INTERMACS score was 3.4 ± 1.4 with wet-cold clinical profile present in 13 (38%) of patients. Mean left ventricle ejection fraction (LVEF) was 27 ± 13%, mean NTproBNP was 17176 ± 12464 pg/ml, and mean eGFR 48 ± 22 ml/min/1.73m2. At the time of levosimendan administration patients had background treatment with catecholamines (mean number per patient 1.4 ± 1.1, range 0-3) and with diuretics (mean dosage of furosemide 167 ± 102 mg/24h, range 20-500).
48-hours diuresis after levosimendan administration varies from 950 to 11300 ml (mean 4307 ± 2418 ml). It was significantly lower in patients with cold-wet profile (2646 ± 1335 vs. 5335 ± 2381 ml in other clinical profiles, p = 0.0002). Additionally, 48-hour diuresis was negatively correlated with age (r=-0.46, p = 0.0062) and the number of background catecholamines (r=-0.47, p = 0.0047), and not significantly with the furosemide dosage (r=-0.28, p = 0.10) – figure. No association with diuresis was found for LVEF, NTproBNP, and eGFR. In multiple regression analysis (model R2 = 0.63, p = 0.0085) both older age (p = 0.026) and cold-wet profile (p = 0.0074) were significant predictors of poor diuresis after levosimendan administration.

Conclusion
Older age and cold-wet profile were significant predictors of poor diuresis response to levosimendan administration in high risk acute heart failure patients. Although concomitant catecholamines and high diuretic dosage use cloud also be markers of non-responders to levosimendan in terms of diuresis. Abstract Figure