bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of the safety of overweight and/or oversized traffic based on the analysis of lateral acceleration during transport
Authors: Vrábel J. , Loman M. , Paľo J. , Šarkan B. , Hudcovský A. 
Published: July 2022

Abstract
Ensuring the safety and smoothness of road traffic in transports, which by their parameters may cause a special situation in road traffic, is the primary task of the team of workers accompanying overweight and/or oversized vehicles. In order to successfully carry out such an activity, it is necessary not only the appropriate technical equipment but also the knowledge of accompanying staff on the issue of critical points during transport and knowledge of how to prevent the danger in the most appropriate way. For these reasons, there is a need to focus the interest of companies on the course of such transport and to increase the safety of all road users through trained staff to accompany vehicles performing overweight and/or oversized transport.
Carpooling and the reduction of urban traffic
Authors: Szymanek Andrzej , Stokłosa Józef , Zawisza Tomasz 
Published: July 2022

Abstract
The article presents the results of research that quantitatively confirm the well-known thesis on the impact of carpooling (measured by the declared carpooling indicator, DCI) on a significant reduction in the intensity of urban traffic flows. Of course, it is about joint journeys by passenger cars, which (especially in medium-sized and large cities) are an important source of transport congestion, and the connection with the intensity of traffic is obvious. The working hypothesis was verified by conducting observations and measurements in the central area of a medium-sized city in Poland. It is the city of Radom, 100 km south of Warsaw, with a population of 215,000. residents. To verify the hypothesis, the average daily traffic volume, ADTV were compared with the average reduced average daily traffic volume, RADTV. These were determined - by simulating carpooling, in which the main control variable (although not the only one) was the indicator, DCI, i.e. the number of additional passengers in a passenger car. It turned out that RADTV values decreased significantly (therefore congestion decreased) when DCI values increased. This is illustrated by the DCI - RADTV dependence graphs for different days of the week and different measurement locations. This relationship was confirmed by calculating the Spearman’s rank correlation index between the DCI and RADTV variables.
Determining the trajectory of the vehicle motion on the basis of the recorded physical quantities describing its dynamics during typical maneuvers in road traffic
Authors: Pusty T 
Published: July 2022

Abstract
The paper compares the results of the vehicle motion trajectory calculations determined on the basis of the recorded waveforms of the acceleration vector and angular velocity components during the double lane change maneuver, taking into account the errors of acceleration sensors reset (zeroing). The differences in the results of the calculations were determined and possible causes of these differences were indicated. The test results indicate that special attention should be paid to zeroing the acceleration sensors, in particular the ay component.
Experimental study for optimizing superfinishing process parameters of high-quality alloy bearing steel
Authors: Qasem Isam , Hussien Ahmed A , Janvekar Ayub Ahmed , Kataraki Pramodkumar S , Pracki Mirosław , Abdul Mujeebu M 
Published: July 2022

Abstract
Superfinishing is one of the methods of high-quality surface machining of elements subjected to high surface wear. It is used for machining external and internal cylindrical surfaces using various models of tools. This experimental study was aimed at determining the effect of machining parameters on surface roughness of high-quality alloy bearing steel. The factors considered were angle of crosshatch pattern (realized by the rotational speed at constant velocity and oscillation), machining time, and pressure of the tool on the machined surface. The experiment was carried out according to the analysis planned for two tools with granulations of 500 and 800. The polynomial and exponential regression equations for subsequent roughness and performance parameters were determined statistically. The multidimensional correlations based on the t-student distribution were established. The results showed that the optimum surface quality depended on the process parameters: grain size, machining time, crosshatch angle, and the contact pressure. The time at which the machining process starts to stabilize with a steady surface roughness was determined to be 120 s. The maximum enhancement of surface roughness was 75% for crosshatch angle of 13°, contact pressure of 0.21 MPa, and granulation of 800. For both 500 and 800 granulations, the diameter loss was in the range of 1–12 microns.
Effect of Ni addition on CPP-GMR response in electrodeposited Co-Ni/Cu multilayered nanocylinders with an ultra-large aspect ratio
Authors: Nagao Kenta , Hayashida Masamitsu , Ohgai Takeshi 
Published: July 2022

Abstract
Effect of Co–Ni alloy composition on the current perpendicular-to-plane giant magnetoresistance (CPP-GMR) response of electrochemically synthesized Co–Ni/Cu multilayered nanocylinders was studied using anodized aluminum oxide membranes (AAOM) with nanochannel diameter D ∼67 nm and length L ∼70 μm. Co–Ni/Cu multilayered nanocylinders, which have an aspect ratio L/D of ∼1,045, were fabricated in the AAOM nanochannel templates by utilizing a pulse-current electrochemical growth process in an electrolytic bath with Co2+, Ni2+ and Cu2+ ions. Co–Ni/Cu alternating structure with Co84Ni16 alloy layer-thickness of 9.6 nm and Cu layer-thickness of 3.8 nm was clearly observed in a nanocylinder with a diameter of 63 nm. The alternating structure was composed from crystalline layers with preferential orientations in hcp-CoNi (002) and fcc-Cu (111). The Co–Ni/Cu multilayered nanocylinders were easily magnetized in the long axis direction because of the extremely large aspect ratio L/D. In Co84Ni16/Cu multilayered nanocylinders, the coercivity and squareness were ∼0.46 kOe and ∼0.5, respectively. The CPP-GMR value was achieved up to 22.5% (at room temperature) in Co84Ni16/Cu multilayered nanocylinders.
Effect of wind turbulence on monitoring soil CO2 flux using the closed gas chamber method
Authors: Jiang Junjie , Hu Junguo , Gu Kechen , Zhang Shouquan 
Published: July 2022

Abstract
This study evaluated the performance of closed chamber monitoring of soil carbon dioxide (CO2) flux in a wind turbulence environment to improve the accuracy of constructing an ecosystem carbon budget. The effect of wind turbulence–induced barometric pressure fluctuations on soil CO2 emissions was explored using soil pore pressure difference data from different monitoring sites in the field, and the factors associated with errors in the monitoring of closed gas chambers were analysed. Subsequently, a gas chamber measurement error study was conducted in conjunction with the flux calculation model based on the phenomena observed in the field. The results showed that the simply designed closed gas chamber exerted a strong isolation effect on wind turbulence and did not simulate the actual monitoring environment. The error of the linear flux model in a turbulent wind environment for 10 min was 3%–7% greater than that in the absence of wind (error of 12%), and the calculation error of the exponential fitting model in a turbulent environment was also close to 10%. In addition, the error in the calculation model was positively correlated with the wind turbulence intensity and soil dispersion coefficient. Therefore, for a windy environment, the closed gas chamber and flux calculation models must be improved. Otherwise, a large deviation between the monitored flux and actual values will occur.
Review of electrofuel feasibility—prospects for road, ocean, and air transport
Authors: Brynolf Selma , Hansson Julia , Anderson James E , Skov Iva Ridjan , Wallington Timothy J , Grahn Maria , Korberg Andrei David , Malmgren Elin , Taljegård Maria 
Published: July 2022

Abstract
To meet climate targets the emissions of greenhouse gases from transport need to be reduced considerably. Electrofuels (e-fuels) produced from low-CO2 electricity, water, and carbon (or nitrogen) are potential low-climate-impact transportation fuels. The purpose of this review is to provide a technoeconomic assessment of the feasibility and potential of e-fuels for road, ocean, and air transport. The assessment is based on a review of publications discussing e-fuels for one or more transport modes. For each transport mode, (a) e-fuel options are mapped, (b) cost per transport unit (e.g. vehicle km) and carbon abatement costs are estimated and compared to conventional options, (c) prospects and challenges are highlighted, and (d) policy context is described. Carbon abatement costs for e-fuels (considering vehicle cost, fuel production and distribution cost) are estimated to be in the range 110–1250 € tonne−1 CO2 with e-gasoline and e-diesel at the high end of the range. The investigated combined biofuel and e-fuels production pathways (based on forest residues and waste) are more cost-competitive than the stand-alone e-fuel production pathways, but the global availability of sustainable biomass is limited making these pathways more constrained. While the potential for e-fuels to decarbonize the transport sector has been discussed extensively in the literature, many uncertainties in terms of production costs, vehicle costs and environmental performance remain. It is too early to rule out or strongly promote particular e-fuels for different transport modes. For e-fuels to play a significant role in transportation, their attractiveness relative to other transport options needs to be improved. Incentives will be needed for e-fuels to be cost-effective and increased clarity on how e-fuels are linked to existing policies is needed.
Experimental investigation on mechanical properties of AA7068/marble dust/fly ash hybrid composite processed by stir casting technique
Authors: KSD Sudheer , P Srinivasa Rao , Ch Ratnam 
Published: July 2022

Abstract
Aluminum alloys have wide applications in serval industrial sectors like aerospace, automobile and manufacturing industries. Aluminum reinforced with industrial wastes manufactured through stir casting technique showed potential industrial applications. These hybrid aluminum metal matrix composites are light in weight compared to their counterparts. However, stir casting process parameters effects the mechanical properties of the stir casted aluminum hybrid composites. Hence, there is a need for research to find the optimal stir casting process parameters. The current work focusses on experimental investigation of stir casting technique to find the effect of the process parameters on the uniform distribution of reinforced marble dust and fly ash particulates and mechanical properties such as the tensile strength and the hardness. The various parameters considered in this work especially stirring speed (300, 350, 400) rpm, stirring time (3, 5, and 7) min, stirring temperature (750 °C, 800 °C, and 850 °C) and percentage of reinforcement (3%, 5% and 7%). The mathematical and statistical approach of Response Surface Method (RSM) is used to optimize the stir casting parameters in addition to study interaction effects of process parameters by using response surface and interaction plots. Fabricated metal matrix composites have been characterized by using a Field Emission Scanning Electron Microscope (FESEM), inorder to examine the particle dispersion in the aluminium matrix. The significance of statistical results was evaluated with the analysis of variance (ANOVA) based on P-values and coefficients of corelation (R2). Results indicate that the best values for tensile strength and hardness is achieved at processing conditions of stirring at 900 °C with stirrer speed of 407.56 rpm and the stirring time 7.46 min. The 8.11% reinforcement has the highest tensile strength and hardness values of 347.84 MPa and 153.70 Hv, respectively, with composite desirability of 0.96.
A new model-free control method for SMA wire actuators based on DRL
Authors: Lu Yifan , Xu Jie , Jiang Jun , Zhang Rongru , Yue Honghao , Zhang Qiang , Zhou Yuanzi 
Published: July 2022

Abstract
Shape memory alloy (SMA) has been widely used in different applications due to its unique shape memory property. However, when used as an actuator, it exhibits a hysteresis behavior in its relation between temperature and strain, which is highly nonlinear and difficult to control. Although studies have been conducted on establishing various constitutive models of SMA, it is still difficult to achieve the precise control of the SMA wire with the existing models. In this work, a new promising approach regarding the SMA control task as a reinforcement learning (RL) problem is proposed to address this issue, which does not require accurate mathematical models. Both RL and an improved method named deep reinforcement learning (DRL) are used to solve the problem of precise control of a 1D SMA wire actuator, respectively. The simulation results indicate that with the DRL method, the agent can precisely control the output deformation of the SMA wire after only ten episodes of training. Compared with the DRL method, the RL agent can also achieve the same training target but with hundreds of training.
Gradient-based sparse principal component analysis with extensions to online learning
Authors: Qiu Yixuan , Lei Jing , Roeder Kathryn 
Published: July 2022

Summary
Sparse principal component analysis is an important technique for simultaneous dimensionality reduction and variable selection with high-dimensional data. In this work we combine the unique geometric structure of the sparse principal component analysis problem with recent advances in convex optimization to develop novel gradient-based sparse principal component analysis algorithms. These algorithms enjoy the same global convergence guarantee as the original alternating direction method of multipliers, and can be more efficiently implemented with the rich toolbox developed for gradient methods from the deep learning literature. Most notably, these gradient-based algorithms can be combined with stochastic gradient descent methods to produce efficient online sparse principal component analysis algorithms with provable numerical and statistical performance guarantees. The practical performance and usefulness of the new algorithms are demonstrated in various simulation studies. As an application, we show how the scalability and statistical accuracy of our method enable us to find interesting functional gene groups in high-dimensional RNA sequencing data.
Young mother with lupus and life-altering cardiocerebrovascular nightmare: a case report
Authors: Sukmawati Indah , Christiani Agatha , Langow Sandra Sinthya , Lukito Antonia Anna 
Published: July 2022

Abstract

Background
Systemic lupus erythematosus (SLE) predominantly affects women and increases their cardiovascular disease risk up to three-fold. Young women with SLE face various challenges and gender-specific issues, especially concerning pregnancy.

Case summary
A female patient, 37 years old, married with two children, hospitalized for SLE, consulted for chest pain, shortness of breath, and dry cough. She quit her medication in the past 7 years prior to her admission in the hope of conceiving. Physical examinations showed signs of heart failure. Electrocardiogram revealed recent myocardial infarction. She had increased hs-Troponin T 180.3 pg/mL and NTproBNP 13 419 ng/L. An echocardiogram demonstrated a low ejection fraction at 30.4%, left ventricle thrombus, and wall motion abnormalities. The angiogram showed severe coronary artery disease. Her condition was then complicated by embolic stroke and recurrent bleeding from anticoagulant subcutaneous punctured sites.

Discussion
Patients with SLE are prone to hypercoagulability and accelerated atherosclerosis, which may lead to pre-mature mortality. In this case, balancing risk for bleeding vs. ischaemia is a see-saw decision. The current risk scores do not cater specifically to this population, but the existing ones suggest this patient will have an equally undesired outcome. Hence, a multi-disciplinary team discussion was needed. Considering the immense risk of any intervention at the time, the decision was to administer a conservative treatment.

Conclusion
Recognizing and anticipating gender-specific issues in managing patients with SLE are keys to preventing catastrophic complications. Multi-disciplinary team involvement is critical in dealing with complex cases.
Design, effectiveness, and economic outcomes of contemporary chronic disease clinical decision support systems: a systematic review and meta-analysis
Authors: Chen Winnie , Howard Kirsten , Gorham Gillian , O’Bryan Claire Maree , Coffey Patrick , Balasubramanya Bhavya , Abeyaratne Asanga , Cass Alan 
Published: July 2022

AbstractObjectivesElectronic health record-based clinical decision support (CDS) has the potential to improve health outcomes. This systematic review investigates the design, effectiveness, and economic outcomes of CDS targeting several common chronic diseases.Material and MethodsWe conducted a search in PubMed (Medline), EBSCOHOST (CINAHL, APA PsychInfo, EconLit), and Web of Science. We limited the search to studies from 2011 to 2021. Studies were included if the CDS was electronic health record-based and targeted one or more of the following chronic diseases: cardiovascular disease, diabetes, chronic kidney disease, hypertension, and hypercholesterolemia. Studies with effectiveness or economic outcomes were considered for inclusion, and a meta-analysis was conducted.ResultsThe review included 76 studies with effectiveness outcomes and 9 with economic outcomes. Of the effectiveness studies, 63% described a positive outcome that favored the CDS intervention group. However, meta-analysis demonstrated that effect sizes were heterogenous and small, with limited clinical and statistical significance. Of the economic studies, most full economic evaluations (n = 5) used a modeled analysis approach. Cost-effectiveness of CDS varied widely between studies, with an estimated incremental cost-effectiveness ratio ranging between USD$2192 to USD$151 955 per QALY.ConclusionWe summarize contemporary chronic disease CDS designs and evaluation results. The effectiveness and cost-effectiveness results for CDS interventions are highly heterogeneous, likely due to differences in implementation context and evaluation methodology. Improved quality of reporting, particularly from modeled economic evaluations, would assist decision makers to better interpret and utilize results from these primary research studies.RegistrationPROSPERO (CRD42020203716)
Oligomeric state of the aspartate:alanine transporter from Tetragenococcus halophilus
Authors: Miyamoto Akari , Yamanaka Takashi , Suzuki Satomi , Kunii Kota , Kurono Kenichiro , Yoshimi Akira , Hidaka Masafumi , Ogasawara Satoshi , Nanatani Kei , Abe Keietsu 
Published: July 2022

Abstract
The aspartate:alanine exchanger family of membrane transporters includes industrially important transporters such as succinate exporter and glutamate exporter. No high-resolution structure is available from this family so far, and the transport mechanism of these transporters also remains unclear. In the present study, we focus on the oligomeric status of the aspartate:alanine antiporter (AspT) of Tetragenococcus halophilus, which is the prototype of this family. To investigate the oligomeric structure of AspT, we established a system that produces high yields of highly purified AspT and determined the oligomeric structure of AspT by analysis with size exclusion chromatography coupled with multi-angle light scattering and blue native PAGE and by comparison of the wild-type AspT with a single-cysteine mutant that forms spontaneous inter-molecular thiol crosslinking. All the results consistently support the notion that AspT is a homodimer in solutions and in membranes.
Preoperative arterial embolization and wound complications after resection of malignant bone tumor in the pelvis: a nationwide database study
Authors: Zhang Liuzhe , Michihata Nobuaki , Matsui Hiroki , Fushimi Kiyohide , Yasunaga Hideo , Tsuda Yusuke , Tanaka Sakae , Kobayashi Hiroshi 
Published: July 2022

Abstract

Background
Massive intraoperative blood loss is common in pelvic malignant bone tumor surgery, and preoperative arterial embolization may be used in selected cases. Preoperative arterial embolization reportedly increases wound complications in pelvic fracture surgery, but little evidence is available regarding pelvic bone tumor surgery.

Methods
Using a Japanese nationwide database (Diagnosis Procedure Combination database), we searched for patients who underwent pelvic malignant bone tumor surgery between July 2010 and March 2018. The primary endpoint was wound complications, defined as any wound requiring re-operation, negative pressure wound therapy or both. Univariate analyses (the chi-squared test for categorical variables, the unpaired t-test for continuous variables) and multivariate logistic regression analyses were performed to examine the association between preoperative arterial embolization and wound complications.

Results
Among the 266 eligible patients, 43 (16%, 43/266) underwent embolization and 69 (26%, 69/266) developed wound complications. In the univariate analyses, preoperative arterial embolization (P &lt; 0.001), duration of anesthesia (P &lt; 0.001), the volume of blood transfusion (P &lt; 0.001) and duration of indwelling drain tube (P &lt; 0.001) were associated with wound complications. In the multivariate logistic regression analysis, preoperative arterial embolization was significantly associated with wound complications (odds ratio, 3.92; 95% confidence interval, 1.80–8.56; P = 0.001).

Conclusions
Preoperative arterial embolization may be associated with increased wound complications after pelvic malignant tumor surgery.
Categorization by Score of Mosquito Species (Diptera: Culicidae) Related to Yellow Fever Epizootics in Argentina
Authors: Cano Maria Eugenia , Marti Gerardo Anibal , Alencar Jeronimo , Silva Shayenne Olsson Freitas , Micieli Maria Victoria 
Published: July 2022

AbstractThe mosquito-borne yellow fever virus (YFV) is the cause of a zoonotic disease, with both sylvatic and urban cycles. Some mosquito species have been associated directly with transmission of the virus in South America, although the importance given to each species varies depending on the bibliography, geographical location, or year of publication. For Argentina, few publications have assessed the involvement of mosquito species, especially those included in the sylvatic cycle. Therefore, the goal of our paper was to gather all the information available in South America and categorize all mosquito species potentially involved in the YFV transmission cycle in Argentina according to incriminating vector criteria. Based on three main characteristics (‘Hosts’, ‘Mosquito vector’, and ‘YF outbreak’), we generated scales of importance by species, one exclusively for Argentina and another for all of South America, Sabethes albiprivus Theobald, 1903 was the most important species in Argentina; whereas the most important species in South America were Haemagogus janthinomys Dyar 1921, Hg. leucocelaenus Dyar and Shannon, 1924, and Sa. chloropterus Von Humboldt, 1819. Our review highlights the lack of research that evaluates the importance of these species for YFV transmission in Argentina, while serving as a starting point to establish priorities for research on the bionomics and vector status of these species.