bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reinforcement design of radar pulse compression algorithm in space‐borne environment
Authors: Wang Shanshan , Zhang Jinning , Han Wenjun 
Published: July 2019

Realising radar high‐speed real‐time signal processing under the space‐borne environment is a worldwide research difficult point. Commercial Quartus devices required for high‐speed processing are hardened and consolidated in high radiation environments. This study realises high‐speed real‐time radar signal processing in space‐borne environment for doing the reinforced design of commercial Quartus chip for pulse compression algorithm. The article first analysed the failure modes of high‐performance FPGAs in a space‐borne environment in China: a highly efficient parallel pipeline architecture with 8‐8 K points is designed; control registers, state machine registers, on‐chip RAM, and other easy‐to‐flip positions have been fully reinforced for the pulse compression algorithm. The system realises 200 M real‐time processing capability after integration. Single‐event fault injection tests were performed on key signals such as system control, and the test results verified the effectiveness of the reinforcement. The fault tolerance of the system has been significantly improved to ensure the normal operation of the FPGA.
Resilienz bei langzeitüberlebenden Patienten mit einer
Krebserkrankung – Zusammenhänge mit psychischer Belastung und
soziodemografischen Merkmalen
Authors: Plitzko Lydia , Mehnert-Theuerkauf Anja , Götze Heide 
Published: July 2019

Zusammenfassung
Einleitung Resilienz gilt als persönliche Ressource bei der
Verarbeitung belastender und traumatischer Erfahrungen und findet in der
psychoonkologischen Forschung zunehmend Beachtung. Ziel dieser Studie ist
es, die Resilienz bei langzeitüberlebenden Krebspatienten in
Abhängigkeit von Depressivität, Angst sowie
soziodemografischen und krankheitsbezogenen Faktoren zu untersuchen und mit
der Allgemeinbevölkerung zu vergleichen.
Material und Methoden Es wurden 972 Krebspatienten (53%
männlich, im Mittel 67 Jahre, 25% Prostatakrebs, 22%
Brustkrebs) befragt, deren Diagnose 5 bzw. 10 Jahre zurücklag.
Erhoben wurden Resilienz (RS-11), Depressivität (PHQ-9) und Angst
(GAD-7). Die Rekrutierung erfolgte über das Regionale Klinische
Krebsregister Leipzig (RKKL).
Ergebnisse Die Resilienz unterschied sich nicht signifikant in den
beiden Kohorten (5 Jahre nach Diagnose: M=58,5 / 10 Jahre
nach Diagnose: M=59,0; p=0,631). Im Regressionsmodell
zeigten sich signifikante Zusammenhänge zwischen hoher Resilienz und
geringer Depressivität (Beta=0,307; p<0,001) sowie
den Variablen Familienstand (verheiratet, Beta=0,080;
p=0,016), höherer Bildung (Beta=0,101;
p=0,002) und Erwerbstätigkeit (Beta=0,087; 0,008).
20% der Varianz der Resilienz konnten durch die unabhängigen
Variablen erklärt werden.
Diskussion Die Befunde unterstützen die Theorie, dass es sich
bei der Resilienz um ein stabiles Personenmerkmal handelt, welches
Zusammenhänge zu bestimmten soziodemografischen Merkmalen oder
Merkmalskonstellationen aufweist. Eine niedrige Resilienz zeigte sich
insbesondere bei alleinstehenden Patienten, Patienten ohne Arbeit sowie
Patienten mit einem niedrigen sozioökonomischen Status. Patienten
mit Krebserkrankung und einer geringen psychischen
Widerstandsfähigkeit und dem damit verbundenen erhöhten
Risiko für psychische Belastungen können somit zu einem
frühen Zeitpunkt der Erkrankung ermittelt werden.
Schlussfolgerung Vor allem Patienten mit einer geringen Resilienz
benötigen langfristige Unterstützung bei der Verarbeitung
der Krebserkrankung und eine Einbindung in psychosoziale Nachsorge-Programme
(Cancer-Survivorship-Care-Pläne).
Phlebologische Funktionsdiagnostik: Praktische
Anwendung
Authors: Kahl S. , Bruning G. , Woitalla-Bruning J. 
Published: July 2019

ZusammenfassungTrotz der Dominanz der farbkodierten Duplexsonographie in der Diagnostik der
Phlebologie gibt es weiterhin Fragestellungen, bei denen klassische Verfahren
der phlebologischen Funktionsdiagnostik eine wichtige Rolle bei der
Therapieentscheidung spielen.Während die farbkodierte Duplexsonographie detallierten Aufschluss über die
Kaliber und die Refluxsituation des Venensysthems liefern kann, ist sie jedoch
nicht in der Lage, eine abschließende Aussage zur Hämodynamik zu treffen. Hierzu
dient die venöse Funktionsdiagnostik und als Referenzverfahren insbesondere die
invasive Phlebodynamometrie (PDM).Das Ziel dieses dreiteiligen Artikels besteht darin, die praktische Anwendung der
klassischen Verfahren zur phlebologischen Funktionsdiagnostik im klinischen
Rahmen zu demonstrieren und die Aussagekraft der entsprechend erhobenen Daten zu
erläutern. In diesem dritten Teil wird entsprechend die
Venenverschlussplethysmographie (VVP) beschrieben. Sie spielt aufgrund der
Möglichkeit der Bestimmung von venöser Kapazität, venösem Ausstrom und
arteriellem Einstrom eine Rolle in der Diagnostik der Varikosis, der tiefen
Beinvenenthrombose und der peripheren arteriellen Verschlusskrankheit. Direkte
Aussagen zur Hämodynamik können mit Hilfe dieser Methode jedoch nicht getroffen
werden.In vorherigen Ausgaben der „Phlebologie“ wurden bereits die digitale
Photoplethysmographie (D-PPG) und die PDM vorgestellt.Die praktische Anwendung der D-PPG, der PDM und der VVP ist prinzipiell nicht
schwer. Für die Durchführung wird jedoch geschultes Personal benötigt, um
Anwendungs- und Messfehler zu vermeiden.
Effects of Nitroglycerine on Renal Ischemia-Reperfusion Injury in Adult Male Rats
Authors: Ahmadi Fatemeh , Hajihashemi Saeed , Rahbari Ali , Ghanbari Fatemeh 
Published: July 2019

Abstract
Background Ischemia-reperfusion (I-R) leads to acute kidney injury (AKI). The present study investigated the effects of nitroglycerine (NG) on improving renal dysfunctions caused by I-R in rats.
Methodology Twenty-four rats were equally divided into four groups: (1) the control group, (2) the sham group, (3) the I-R group, and (4) NG-treated groups.NG (50 μg/kg) was injected intraperitoneally after induction of IR. I-R was induced through clamping of the bilateral renal artery and vein of both kidneys for 20 min followed by 24 h of reperfusion.
Results NG significantly increased the creatinine clearance levels and renal blood flow rate (which was reduced by I-R). NG also significantly improved serum electrolytes (sodium and potassium) that were disordered by I-R. In addition, NG significantly offset impaired antioxidant defense mechanism and inhibited lipid peroxidation.
Conclusions The results show NG has a protective effect on renal tissue against AKI caused by I-R. These protective effects mediated through antioxidant activity and decrease of lipid peroxidation.
Atypical Presentation of Takayasu's Arteritis—A Case Report
Authors: Rao V. Satish Kumar , Godhasiri Ponugoti 
Published: July 2019

AbstractTakayasu's arteritis, known as “pulseless disease,” is a chronic idiopathic inflammatory disease, which has a greater predilection for large vasculature in the body. Initially described in the1800s, this rare condition is more commonly seen in Asian women in 40 years age group. Herein, the authors report the case of a 36-year-old woman whose exertional claudication was the initial manifestation of active Takayasu's arteritis along with involvement of multiple peripheral arteries not involving ostial area of the vessels, instead affecting the proximal area and also presenting with thrombosis of right CIA (common iliac artery), which is an unusual presentation in case of Takayasu's arteritis without aneurysmal involvement.
Assessment of Airway in Patients with Acromegaly Undergoing Surgery: Predicting Successful Tracheal Intubation
Authors: Kapoor Indu , Mahajan Charu , Prabhakar Hemanshu 
Published: July 2019

AbstractBackground In the field of anesthesia, acromegaly is considered a cause of difficult tracheal intubation and airway management. There is a high probability of unanticipated difficult intubation in acromegalic patients despite a lower percentage of patients being identified preoperatively as having a difficult airway. In this study, we carried out various airway assessment tests preoperatively and during induction of anesthesia to find out the predictors of easy tracheal intubation in patients with acromegaly.Methods All patients of either sex, diagnosed as a case of acromegaly and scheduled to undergo pituitary surgery were enrolled over a period of 3 years. Various airway assessment tests were performed prior to surgery, which included modified Mallampati (MP) classification (sitting and supine), mouth opening (MO), upper lip bite test (ULBT), neck movement (NM), thyromental (TM) distance, thyrohyoid (TH) distance, sternomental (SM) distance, hyomental (HM) distance, length of upper incisors (IL), receding mandible (RM), any history of obstructive sleep apnea (OSA), mask ventilation (MV), Cormack-Lehane (CL) III and IV, and external laryngeal manipulation (ELM). Results were reported as odds ratios (95% confidence interval [CI]). The p-value < 0.05 was considered statistically significant.Results A total of 42 patients were enrolled over a period of 3 years. The male-to-female ratio was 19:23 with a mean age of 37.95 years and mean weight of 72.7 kg. Out of 15 airway assessment parameters, only ULBT and CL grade showed significant results.Conclusion We conclude that ULBT and CL grading are reliable predictors of easy intubation in patients with acromegaly undergoing surgery.
Vascular Targets for the Treatment of Portal Hypertension
Authors: Brusilovskaya Ksenia , Königshofer Philipp , Schwabl Philipp , Reiberger Thomas 
Published: July 2019

AbstractPortal hypertension is the main driver for severe complications in patients with liver cirrhosis. With improved understanding of molecular pathways that promote hepatic vascular remodeling, vasoconstriction, and sinusoidal capillarization potential vascular targets for the treatment of portal hypertension have been identified. Inhibition of vascular endothelial and platelet-derived growth factors–driven angiogenesis has been shown to reduce portal pressure and decrease hepatic inflammation. Angiopoietin/Tie signaling represents additional promising vascular targets in liver disease. The eNOS-NO-sGC-cGMP pathway modulates sinusoidal vasoconstriction and capillarization. Nuclear farnesoid X receptor (FXR) agonists decrease intrahepatic vascular resistance by inhibition of fibrogenesis and sinusoidal remodeling. Statins ameliorate endothelial dysfunction, decrease portal pressure, and reduce fibrogenesis. Anticoagulation with low-molecular heparin or anti-Xa inhibitors improved portal hypertension by deactivation of hepatic stellate cells and potentially via reduction of sinusoidal microthrombosis. This review summarizes important vascular targets for treatment of portal hypertension that have shown promising results in experimental studies.
Development and Evaluation of a Clinical Decision Support System to Improve Medication Safety
Authors: Ibáñez-Garcia Sara , Rodriguez-Gonzalez Carmen , Escudero-Vilaplana Vicente , Martin-Barbero Maria Luisa , Marzal-Alfaro Belén , De la Rosa-Triviño Jose Luis , Iglesias-Peinado Irene , Herranz-Alonso Ana , Sanjurjo Saez Maria 
Published: July 2019

Background Clinical decision support systems (CDSSs) are a good strategy for preventing medication errors and reducing the incidence and severity of adverse drug events (ADEs). However, these systems are not very effective and are subject to multiple limitations that prevent their implementation in clinical practice.
Objectives The objective of this study was to evaluate the effectiveness of an advanced CDSS, HIGEA, which generates alerts based on predefined clinical rules to identify patients at risk of an ADE.
Methods A multidisciplinary team defined the system and the clinical rules focusing on medication errors commonly encountered in clinical practice. Four intervention programs were defined: (1) dose adjustment in renal impairment; (2) adjustment of anticoagulation/antiplatelet therapy; (3) detection of biochemical/hematologic toxicities; and (4) therapeutic drug monitoring. We performed a 6-month observational prospective study to analyze the effectiveness of these clinical rules by calculating the positive predictive value (PPV).
Results The team defined 211 clinical rules. During the study period, HIGEA generated 1,086 alerts (8.9 alerts per working day), which were reviewed by pharmacists. Fifty-one percent (554/1,086) of alerts generated an intervention to prevent a possible ADE; of these, 66% (368/554) required a documented modification to therapy owing to a real prescription error intercepted. The intervention program that induced the highest number of modifications to therapy was the dose adjustment in renal impairment program (PPV = 0.51), followed by the adjustment of anticoagulation/antiplatelet therapy program (PPV = 0.24). The percentage of accepted interventions was similar in surgical units (68%), medical units (67%), and critical care units (63%).
Conclusion Our study offers evidence that HIGEA is highly effective in preventing potential ADEs at the prescription stage.
The Relationship between Negative Trauma-Related Cognitions and Psychosocial Functioning in Veterans with Posttraumatic Stress Disorder and Alcohol use Disorder
Authors: Lyons Robert , Haller Moira , Curry Inga , Norman Sonya B. 
Published: July 2019

Background The comorbidity of posttraumatic stress disorder (PTSD) and alcohol use disorder (AUD) is highly prevalent and associated with especially poor psychosocial functioning. Negative trauma-related cognitions are theoretically proposed to be associated with poor psychosocial functioning in PTSD, but few studies have examined the association between negative trauma-related cognitions and psychosocial functioning in PTSD/AUD. Evaluating this association may provide evidence of a potential treatment target for improving psychosocial functioning in PTSD/AUD. We hypothesized that negative trauma-related cognitions, including cognitions about the self, world, and self-blame, would be independently associated with poor psychosocial functioning in the following domains: vitality, psychosocial well-being, role limitations due to emotional distress, and social functioning. Methods We examined the relationship between negative trauma-related cognitions and psychosocial functioning in 145 treatment-seeking veterans with PTSD/AUD using multiple linear regression analyses while controlling for PTSD and alcohol abuse and dependence severity. Results Our hypotheses were partially supported. We found that negative trauma-related cognitions were uniquely associated with greater psychosocial functional impairment, independent of PTSD and alcohol abuse and dependence severity. Specifically, negative trauma-related cognitions about the self were associated with greater psychosocial functional impairment across all domains, cognitions about the world were associated with worse social functioning and psychological well-being, and self-blame was associated with impaired psychological well-being. Conclusions Given that improvements in negative trauma-related cognitions are a mechanism of trauma-focused treatment, future studies should examine whether changes in negative trauma-related cognitions through trauma-focused treatment are associated with improved psychosocial functioning.
A Novel Approach to Improve the Collaborative Representation for Face Recognition
Authors: Jia YuJie , Deng JiaLu , Zhang Xu , Wang Qiong , Yan Shi 
Published: July 2019

Abstract
Collaborative representation based classification (CRC) codes a test sample as a linear combination of all the training samples. However, the recognition rate of CRC is not ideal when available training samples are insufficient, as the test sample cannot be accurately represented by limited training samples. In order to address this issue, we propose a novel idea of training samples fragmentation. First, all training samples are divided into two new training sample sets according to the similarity among them. Next, the test sample simultaneously uses the two new training sample sets to perform CRC, which ultimately uses 2M “nearest neighbors” from the two training sample sets to represent and classify the test sample. In addition, this method also takes advantages of a new fusion classification mechanism based on histogram similarity and Euclidean distance, which has been proven to perform better than Euclidean distance classification. The experimental results reveal that the proposed method performs better in face recognition compared with the most representation based classification methods.
Medical Data Sharing Model Based on Blockchain
Authors: Chen Wanghu , Mu Yuxiang , Liang Xiaoyan , Gao Yaqiong 
Published: July 2019

Abstract
In the traditional medical system, individual medical data is managed by hospitals rather than individual patients. It is difficult to exchange effectively with fragmented storage, and large amounts of data are difficult to realize their potential value. With the rapid development of medical informatization, centralized storage of fragmented medical data has been unable to meet the relevant needs of the medical industry. To solve the difficulty of sharing and the complexity of confirming rights in the medical system, this paper proposes a medical data sharing model based on blockchain. The model provides reliable storage with IPFS file system, uses Proxy re-encryption to realize data sharing and ensure data proprietary rights, and uses Token economic system to measure the contribution in the sharing process, which stimulates the enthusiasm of sharing. At last, based on the existing sharing problem of medical data, the paper shows the potential solution.
sEMG-based Endpoint Stiffness Estimation of Human Arm using Gene Expression Programming
Authors: Zainan Jiang , Fan Yang , Chongyang Li , Daxiang Liu , Chenliang Wang , Tianhui Li , Hong Liu 
Published: July 2019

Abstract
The endpoint stiffness of the human arm has been long recognized as a key factor in the smooth contact between humans and environment. And the endpoint stiffness of the human arm is highly correlated with the surface electromyography (sEMG) produced by the contraction of the muscles. In this paper, the Gene Expression Programming (GEP) Algorithm is proposed to estimate the endpoint stiffness of human arm based on sEMG. This paper improves the traditional decoding method of GEP. Instead of generating an expression tree, it is directly decoded by looking for the effective length of the gene. And experimental results show that nonlinear models such as GEP models in this paper have higher correlation and lower RMSE (root mean square error) than regression stiffness using linear regression models. Selecting different feature of EMG signals, the correlation coefficient and the root mean square error of the model is very different. For the GEP model in this paper, WPTSVD (Wavelet Package Transform Singular Value Decomposion) and WTSVD (Wavelet Transform Singular Value Decomposion) are selected as the feature of sEMG signals have high performances and the correlation can reach 57%±12.1%
An Improved K-Means Algorithm Based on Kurtosis Test
Authors: Wang Tingxuan , Gao Junyao 
Published: July 2019

Abstract
Clustering is a process of classifying data into different classes and has become an important tool in data mining. Among many clustering algorithms, the K-means clustering algorithm is widely used because of its simplicity and high efficiency. However, the traditional K-means algorithm can only find spherical clusters, and is also susceptible to noise points and isolated points, which makes the clustering results affected. To solve these problems, this paper proposes an improved K-means algorithm based on kurtosis test. The improved algorithm can improve the adaptability of clustering algorithm to complex shape datasets while reducing the impact of outlier data on clustering results, so that the algorithm results can be more accurate. The method used in our study is known as kurtosis test and Monte Carlo method. We validate our theoretical results in experiments on a variety of datasets. The experimental results show that the proposed algorithm has larger external indicators of clustering performance metrics, which means that the accuracy of clustering results is significantly improved.
Analysis and Research on Influencing Factors of Haze Weather
Authors: Lan Hua , Pan Yun 
Published: July 2019

Abstract
In recent years, the causes, prevention and control methods and prediction system of continuous haze weather have become the focus of social research.Taking the meteorological observation data of Hebei province as an example, this paper studies the influencing factors of continuous haze weather.Firstly, the improved TOPSIS algorithm is used to preprocess the data. Then, it combines the data mining methods such as hierarchical analysis and grey correlation analysis to carry out modeling analysis, and it is concluded that the particulate matter in the pollution source has the greatest impact on the haze weather. Moreover, as the aerodynamics factor affects the diffusion and aggregation of the haze pollution source, it is found that it has a linear influence on the formation of haze weather.Finally, through the current meteorological observation data, BP neural network is used to predict haze weather changes.A large number of experimental results show that, on the premise of allowing a certain error rate, the prediction effect of the BP neural network model is relatively accurate, and it also indicates that the formation of haze weather is closely related to the air quality index factor and meteorological index factor.
A Method for Determining Access Node of Microwave Relay Network Based on Genetic Algorithm
Authors: Qi Ji , Chen Kebin 
Published: July 2019

Abstract
In order to improve the deployment efficiency of the microwave relay network, a method for determining access node of microwave relay network based on genetic algorithm is proposed in this paper. System analysis of network structure characteristics, node attributes and deployment process, the access node deployment issues is transformed into continuous area location issues. After discretization the area, the set of candidate access nodes is obtained considering boundary points and boundary chords. Comparing the coverage set of each access node, the candidate set is de-redundancy. Then taking coverage ratio maximum and the deployment cost minimum as the optimization goal, the optimal set of access nodes is obtained from candidate set by using genetic algorithm. A case with 50 user terminals is simulated by our method. Results show that after de-redundancy and genetic algorithm calculation, the number of access nodes is optimized from 240 to 17, and only 9 user terminals are repeated covered by different access node.
An Improved Method for Calibration Between a 2D Lidar and a Camera Based on Point-Line Correspondences
Authors: Chu Xuepeng , Zhou Jun , Chen Li , Xu Xiaobin 
Published: July 2019

Abstract
The paper depicts an improved method for calibration parameters, which is a 2D homography, using point-line correspondences. The correspondences are the edge lines of the board provided by camera and the intersection points obtained by lidar. Particularly, a data preprocessing method is put forward and exploited to dramatically reduce the lidar’s measurement error. Afterwards, we use a triangular board to establish constraints. At least 8 correspondences are employed to compute the initial value, and the final result is optimized by L-M algorithm. Massive experimental results show that proposed method has about 1 pixel improvement, compared with the previous methods.