bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis on cruising process for on‐street parking using an spectral clustering method
Authors: Qin Huanmei , Pang Qianqian , Yu Binhai , Wang Zhongfeng 
Published: February 2021

Parking problems caused by a lack of parking spaces have exacerbated traffic congestion and worsened environmental pollution. An analysis of the cruising process for parking can provide new perspectives to reduce cruising. Based on a parking survey conducted in Beijing, the authors collected a large amount of trajectory data of cruising vehicles. Then, fluctuation indexes of trajectories were proposed to analyse travellers’ cruising processes for parking. The spectral clustering method based on a hidden Markov model (HMM) was used to recognise the cruising trajectories. The recognition performance for three‐dimensional trajectory data is better. Cruising trajectories for Clusters 1, 2, 3, 4, and 6 have large fluctuations and a weightier effect on road traffic. These groups can be taken as target groups for intelligent parking guidance and recommendations. The recognition accuracies for parking location and parking status increase with increasing intercepted trajectory lengths. 150 m from far to near the desired destination can be used as a threshold of the cruising trajectory length to accurately predict travellers’ parking location and status. These research results can be applied in intelligent parking systems to dynamically predict parking situations, formulate parking guidance schemes and information release strategies, and improve parking efficiency.
Hydrotherapy Intervention for Patients Following Total Knee Arthroplasty: A Systematic Review
Authors: Zhuo Youguang , Yu Rongguo , Wu Chunling , Zhang Yiyuan 
Published: February 2021

Abstract
Background Hydrotherapy or aquatic exercise has long been known as a source of postoperative rehabilitation proposed in routine clinical practice. However, the effect on clinical outcome as well as the optimal timing of hydrotherapy in patients undergoing total knee arthroplasty (TKA) remain unclear. The purpose of this review was to assess the influence of aquatic physiotherapy on clinical outcomes and evaluate the role of the timing of aquatic-therapy for clinical outcomes after undergoing TKA.
Methods An extensive literature search was performed in Embase, PubMed, and the Cochrane Library for randomized controlled trials (RCTs) that evaluated the impact of hydrotherapy on patients after TKA. The methodological quality of the trials was evaluated based on the Cochrane Risk of Bias Tool.
Results All available studies on postoperative hydrotherapy after TKA were included. The primary endpoint was to evaluate the effect of hydrotherapy on clinical outcomes. The secondary outcome was to explore the role of the timing of aquatic therapy for clinical outcomes following TKA.
Conclusion Although definitive conclusions could not be reached due to insufficient data, most studies indicated that participants benefited from aquatic-therapy in muscle strength, rather than gait speed, after TKA. Currently available data demonstrated that early postoperative hydrotherapy possessed a greater potential to improve clinical outcomes in main clinical scores and quality-adjusted life years (QALYs).
Intermolecular C–H Amidation of Alkenes with Carbon Monoxide and Azides via Tandem Palladium Catalysis
Authors: Gu Zheng-Yang , Wu Yang , Bao Xiaoguang , Xia Ji-Bao , Jin Feng 
Published: February 2021

AbstractAn atom- and step-economic intermolecular multi-component palladium-catalyzed C–H amidation of alkenes with carbon monoxide and organic azides has been developed for the synthesis of alkenyl amides. The reaction proceeds efficiently without an ortho-directing group on the alkene substrates. Nontoxic dinitrogen is generated as the sole by-product. Computational studies and control experiments have revealed that the reaction takes place via an unexpected mechanism by tandem palladium catalysis.
The Art and Science of Building a Computational Model to Understand Hemostasis
Authors: Leiderman Karin , Sindi Suzanne S. , Monroe Dougald M. , Fogelson Aaron L. , Neeves Keith B. 
Published: February 2021

AbstractComputational models of various facets of hemostasis and thrombosis have increased substantially in the last decade. These models have the potential to make predictions that can uncover new mechanisms within the complex dynamics of thrombus formation. However, these predictions are only as good as the data and assumptions they are built upon, and therefore model building requires intimate coupling with experiments. The objective of this article is to guide the reader through how a computational model is built and how it can inform and be refined by experiments. This is accomplished by answering six questions facing the model builder: (1) Why make a model? (2) What kind of model should be built? (3) How is the model built? (4) Is the model a “good” model? (5) Do we believe the model? (6) Is the model useful? These questions are answered in the context of a model of thrombus formation that has been successfully applied to understanding the interplay between blood flow, platelet deposition, and coagulation and in identifying potential modifiers of thrombin generation in hemophilia A.
German Registry for Cardiac Operations and Interventions in Patients with Congenital Heart Disease: Report 2020—Comprehensive Data from 6 Years of Experience
Authors: Beckmann Andreas , Dittrich S. , Arenz C. , Krogmann O.N. , Horke A. , Tengler A. , Meyer R. , Bauer U. M. M. , Hofbeck M. ,   German Quality Assurance / Competence Network for Congenital Heart Defects Investigators
Published: February 2021

Abstract
Background Based on a quality assurance initiative of the German Society for Thoracic and Cardiovascular Surgery (DGTHG) and the German Society for Pediatric Cardiology and Congenital Heart Defects (DGPK), a voluntary registry was founded for assessment of treatment and outcomes of patients with congenital heart disease in Germany. This evaluation by the German Registry for cardiac operations and interventions in patients with congenital heart disease reports the data and the outcome over a 6-year period in patients undergoing invasive treatment.
Methods This real-world database collects clinical characteristics, in-hospital complications, and medium-term outcome of patients who underwent cardiac surgical and interventional procedures within the prospective, all-comers registry. Patients were followed-up for up to 90 days.
Results In the period from 2013 to 2018, a total of 35,730 patients, 39,875 cases, respectively 46,700 procedures were included at up to 31 German institutions. The cases could be subcategorized according to the treatment intention into 21,027 (52.7%) isolated operations, 17,259 (43.3%) isolated interventions, and 1,589 (4.0%) with multiple procedures. Of these, 4,708 (11.8%) were performed in neonates, 10,047 (25.2%) in infants, 19,351 (48.5%) in children of 1 to 18 years, and 5,769 (14.5%) in adults. Also, 15,845 (33.9%) cases could be allocated to so-called index procedures which underwent a more detailed evaluation to enable meaningful comparability. The mean unadjusted in-hospital mortality of all cases in our registry ranged from 0.3% in patients with isolated interventions and 2.0% in patients with surgical procedures up to 9.1% in patients undergoing multiple procedures.
Conclusion This annually updated registry of both scientific societies represents voluntary public reporting by accumulating actual information for surgical and interventional procedures in patients with congenital heart disease (CHD) in Germany. It describes advancements in cardiac medicine and is a basis for internal and external quality assurance for all participating institutions. In addition, the registry demonstrates that in Germany, both interventional and surgical procedures for treatment of CHD are offered with high medical quality.
Genetic Implications in High-Risk Pregnancy and Its Outcome: A 2-Year Study
Authors: Afifi Hanan H. , Gaber Khaled R. , Thomas Manal M. , Taher Mohamed B. , Tosson Angie M.S. 
Published: February 2021

Objective The aim of this study is to evaluate high-risk pregnant females' offspring as regard the presence of any medical condition, hereditary disorder, or major anomaly as well as to document parental sociodemographic characteristics and compliance with follow-up schedules of fetal medicine and clinical genetic clinics.
Study Design This prospective 2-year cohort study of neonates and infants reported the referral indications, investigations, and diagnoses obtained through prenatal and postnatal examinations. It also reported their parental follow-up vigilance.
Results Of the 811 infants of high risk females referred 460 (56.7%) came for assessment. Mean parental consanguinity and endogamy were 67 and 71.3%, respectively. All pregnant mothers underwent first-trimester biochemical testing (plasma protein-A, α-fetoprotein [AFP], human chorionic gonadotropin [hCG]) and serial ultrasound examinations. Seventy mothers needed second-trimester biochemical testing (AFP, hCG, and estriol). Sixty-two mothers underwent amniocentesis where G-banding karyotype, fluorescence in situ hybridization and targeted molecular testing for the specific gene mutation of single gene disorders were conducted according to suspected disorders. High quality fetal ultrasound was performed when brain malformations were suspected, while 16 fetuses required brain MRI examination. Mean age of newborns at first examination was 26.5 days. They were grouped according to the maternal indication for referral. Upon examination, 18 neonates had confirmed congenital malformations/genetic disorders. Five of them were diagnosed prenatally. In four other fetuses with single gene disorder, the molecular diagnosis of their affected siblings was not established prior to this pregnancy; thus, prenatal diagnosis was not possible. The remaining nine cases were diagnosed postnatally.
Conclusion Parental consanguinity and endogamy were increased among high-risk pregnancies. Public awareness about potential adverse effects of consanguineous marriages and the importance of genetic testing are imperative. A structured multidisciplinary team of specialists in fetal medicine, clinical genetics, and neonatology provides good genetic services. Expansion and financial support of these services are urgently required.
Key Points
How do elite female team sport athletes experience mental fatigue? Comparison between international competition, training and preparation camps
Authors: Russell Suzanna , Jenkins David G. , Halson Shona L. , Juliff Laura E. , Kelly Vincent G. 
Published: February 2021

ABSTRACTMental fatigue has been shown to negatively influence physical, technical and tactical aspects of sporting performance. However, mental fatigue is not routinely monitored or managed in elite sport and it is not clear whether mental fatigue occurs and/or changes across the varied contextual demands experienced by elite athletes in training, preparation and competition. This study explored self‐report measures of mental fatigue across eight training camps and six competition periods (two benchmark tournaments and four international test series) with international netballers (n = 22, 25.9 ± 2.7 years) during the 2018–2019 representative period. Mental fatigue was higher during training camps (p < 0.001; 3.20 [3.12, 3.27]) and preparation camps (p < 0.05; 3.27 [3.19, 3.34]) compared to the competition periods (3.49 [3.44, 3.55]). Significant within‐group differences were also identified between individual preparation camps and competition subsets. Higher mental fatigue was reported during the preparation camp for international test series 2 comparative to the preparation camp for benchmark tournament 1 (p = 0.047). For individual competitions; greater mental fatigue was found during the international test series 3 competition in comparison to both the benchmark tournament 1 (p <0.001) and international test series 1 (p = 0.020) competition periods. International representative netballers experience differing levels of mental fatigue across training and preparation camps and competition periods. Practitioners should be aware that athletes report instances of elevated mental fatigue across camps, and competition. Mental fatigue is not limited to competition and thus is recommended to be monitored during periods of training and preparation for competition.

Highlights
International representative netballers experience differing levels of mental fatigue across camp and competition environments.
Mental fatigue was higher during training camps and preparation camps compared to the competition periods.
Mental fatigue is not limited to competition so is recommended to be monitored during periods of training and preparation for competition.
Empirical analysis of the spatial relationship between urban agglomeration economic network and economic growth based on big data
Authors: Liu Bo , Du Juan 
Published: February 2021

Abstract
A reasonable and orderly network space structure is an important support for the coordinated economic development of urban agglomerations. Based on the urban panel data of the three major urban agglomerations in the economic belt from 2010 to 2019, this paper first uses social network analysis methods to quantitatively identify the cyberspace characteristics of the three major urban agglomerations. On this basis, a spatial measurement model was constructed to test the heterogeneous influence of the network space structure and the coordinated economic development of the three major urban agglomerations. The results show that after controlling the relevant influencing factors, the improvement of the urban agglomeration’s spatial network level has a direct promotion effect on its coordinated economic development, but the indirect spatial spillover effects show obvious differences. Among them, the higher the level of networking, the more obvious the positive spatial spillover effect, and the higher the level of coordinated economic development of the urban agglomeration. Therefore, strengthening the network connection between cities and forming a closely connected and functionally complementary urban agglomeration network spatial structure is conducive to giving full play to the positive spatial spillover effect and realizing the coordinated economic development of the urban agglomeration.
Security vulnerability and encryption technology of computer information technology data under big data environment
Authors: Chen Weijie , Chen Guodong , Zhao Yanheng , Zhang Jinghua 
Published: February 2021

Abstract
In recent years, the traditional encryption storage technology and management methods have been difficult to satisfy the demand of big data in terms of speed, capacity, storage efficiency and security, along with the rapid increase of data volume. Data security is facing great challenges and challenges. To solve this problem, this paper proposes a de-redundancy method based big data encryption algorithm. Firstly, bloom filter technology is used to decrease the dimension of big data. Based on its remarkable advantages, bloom filter space and query efficiency and variable-length block detection scheme with less additional overhead, duplicate data detection and deletion algorithm suitable for large data is designed and implemented. Secondly, based on eliminating redundancy of big data, combined with the characteristics of the elliptic curve encryption algorithm and AES block cipher mode in terms of computing speed, parallelism and security, an encryption approach based on data de-redundancy technology is presented. According to the evaluation system of the encryption algorithm, the encryption time, keyspace and security of the new algorithm are evaluated. Experimental results reveal that the scheme has better security, and the presented approach can increase the speed of the encryption process, and decrease the encryption time and consumption.
Designing a test rig for ultimate load test of small horizontal axis wind turbine rotor blades
Authors: Tien T T , Hung P Q , Hieu N K 
Published: February 2021

Abstract
This paper presents a design of a test rig for structural static load testing of small horizontal wind turbine blades. It is a next step after the success of the DeVie project, a join-research project to boost the wind energy knowhow between Germany and Vietnam. According to the IEC-61400-23 standard for full scale ultimate load test of rotor blades, and based on existing facilities of HCMUT, especially the aerospace engineering lab. and the engineering mechanics lab., we propose a prototype of a test-rig for ultimate load test of rotor blades. And a rotor blade of 4 meters in length, manufactured by China, is used in case study of our structural static-load test-rig. The obtained results will be compared with the reverse engineering this rotor blade with QBlade/FAST in the same blade loading.
Kinetic Model Based on Eley-Rideal and Irreversible Mechanism for Multilevel Reaction of Biodiesel Synthesis
Authors: Chairuddin Z B , Perdani M S , Putri D N , Utami T S , Hermansyah H 
Published: February 2021

Abstract
As a new technology, an ion exchange catalyst as a heterogeneous catalyst became a good potential in exchanging the homogeneous base. A kinetic model based on Eley-Rideal mechanism and irreversible multiple reaction of biodiesel synthesis by using heterogeneous catalyst has been simulated in this work. The aim of this study is to obtain the kinetic parameter value of biodiesel synthesis with ion exchange heterogeneous catalyst. In addition, a sensitivity analysis was also studied to evaluate the effect of kinetic parameter value against the change in concentration profile of biodiesel synthesis. A kinetic model data used in this study was obtained from different experiment literatures. Based on the kinetic model of Eley-Rideal mechanism, the results of reaction rate constant values (k1-k6) were 7.87×10−3, 8.75×10−7, 1.1×10−2, 1.12×10−6, 9.14×10−3 and 5.09×10−4, respectively. In addition, for irreversible kinetic simulation, the most accurate value was showed that 1.5 mol/l of fatty acid at initial reaction has been changed after 180 minutes reaction into 1.5×10−4 mol/l of trygliceride, 2.25×10−4 mol/l of diglyceride, 2.4×102 mol/l of monoglyceride and 1.453 mol/l of biodiesel yield. The obtained values of irreversible kinetic parameter (k1-k3) were 7.86×10−3, 1.11×10−2 and 9.15×10−3, respectively.
Development of air and GHG emission calculators integrated in UNISIM-based process simulator: case study of a gas sweetening with effects of process parameters
Authors: Permana K S , Alimin A A , Ibadurrohman M , Susanto B H 
Published: February 2021

Abstract
This paper reports the development of air and GHG emission calculators embedded in UNISIM-based process simulators, which are used as a computational tool to generate estimated values of air and GHG emission integrated with process simulation. A gas sweetening unit is taken as an example for the case study, with the effects of process parameters on the resultant emission being emphasized. Air and GHG calculators are developed based on up-to-date standards and national regulations concerning oil and gas processing facilities. The simulation’s base case is designed to produce sweet gas with sales gas specifications using MDEA solvent, which reveals 1,527 tonnes CO2e/day (representing GHG emission) and 0.348 tonnes SO2e/day (representing air emission). Pressure decline in the sour gas stream leads to a slight increase in emission up to 1,554 tonnes CO2e/day and 0.368 tonnes SO2e/day because of the additional compression systems. Using DEA as a solvent does not significantly affect air and GHG emission for the same sweet gas specification. The simulation also revealed that the gas flow rate (capacity) is not directly proportional to the eventual emission. In this case, the driver for air and GHG emission is the reboiler’s duty, dependent on the amine flow rate. As there is a critical (minimum) lean amine flow rate regarding the sour gas flow rate, the non-proportional relationship between gas flow rate and emission is expected. To produce sweet gas with LNG specification, the emission rises considerably to 2,652 tonnes CO2e/day and 0.747 tonnes SO2e/day because CO2 loading of rich amine is higher in this case, eventually increasing the reboiler duty significantly.
Analysing the choice and pattern of needs of transportation mode for domestic tourists in Bali
Authors: Wiradnyana I G N P , Suthanaya P A , Wedagama D M P , Yana A A G A , Dissanayake D 
Published: February 2021

Abstract
Travel behaviour of domestic tourists concerning their choices of transportation mode has a significant role in managing traffic in the tourist destination. This study analyses the domestic tourists’ choice and their pattern of needs of transportation mode in Bali as the case study. The developed models are based on utility maximisation of underlying preferences for each of the available modes of transport. Domestic tourists are randomly selected and interviewed using the questionnaire to record their daily trips. The study result indicates that income, number of visits and travel companions significantly influence the choice of transportation mode for domestic tourists. Meanwhile, income, number of visits, length of stays, trip purpose and main issues in selecting local transport mode significantly affect the pattern of needs of transportation mode for domestic tourists. For example, two accompanying persons will be three times more than that of seven persons or more to choose motorcycle and bus than a car. Domestic tourists who have visited Bali twice will be three times more than those who visited Bali once to use travel agents and rented vehicles than public and online transport and others. Further studies on short duration trips and sustainable mode of transport are suggested.
Conceptualizing multi actors’ collaboration in smart tourism destination
Authors: Damayanti M , Tyas W P , Aswad W O S J 
Published: February 2021

Abstract
Smart tourism destination is applied as the advance application of smart cities concept. Smart tourism destination integrates the advance technology application into advanced physical infrastructures in order to enhance a city competitiveness by focusing on innovative service for the tourists. However, in its application, a significant issue related to governments’ capacity is aroused. The government needs to be more innovative, adaptive and technology focused as providers of infrastructure and data. There is a call for multi actors’ collaboration to overcome this issue. Hence, this paper aims to conceptualize multi actors’ collaboration in managing a smart tourism destination. The framework was developed by reviewing the concepts of smart tourism, governance, collaboration, and coopetition. The collaboration among actors can be developed by considering collaboration background, purpose and motivation, member selection, as well as trust. These actors might involve in a cooperation, coordination, collaboration and/or coopetition.