Miracle-dz/UniFAR-FTUs huggingface dataset:
Multiobjective Platooning of Connected and Automated Vehicles Using Distributed Economic Model Predictive Control

This paper considers the multi-objective platooning control problem of a group of connected and automated vehicles (CAVs) with bidirectional topologies. A new distributed economic model predictive control (DEMPC) algorithm is presented to reconcile the conflict of the control objectives of tracking, safety, stability and fuel economy of the heterogeneous vehicle platoon with guaranteed string stability. Using transient engine energy efficiency indices and cooperative performance of tracking and string stability, two distributed receding horizon optimal control problems are orderly formulated by a Lyapunov-based coupling constraint. Moreover, a new concept of <inline-formula> <tex-math notation="LaTeX">$\gamma $ </tex-math></inline-formula>-string stability is defined for the platoon with bidirectional topologies. Some distributed terminal conditions are then derived to guarantee the recursive feasibility and asymptotic stability of the DEMPC as well as <inline-formula> <tex-math notation="LaTeX">$\gamma $ </tex-math></inline-formula>-string stability of the platoon in the presence of constraints. Compared to traditional platooning control, the new DEMPC has a 4.2% energy-saving of vehicles while achieving the cooperative tasks of the platoon in several simulation scenarios.
Clinical Significance of Molecular Alterations and Systemic Therapy for Meningiomas: Where Do We Stand?

Simple Summary Meningiomas are the most frequent intracranial tumors and comprise a heterogeneous spectrum of diseases, ranging from small, asymptomatic tumors that do not need treatment to large, symptomatic ones causing seizures or neurological deficits that require surgery and/or radiotherapy. Systemic therapy is reserved for progressive or recurrent meningiomas when surgery and/or radiotherapy options have been exhausted, with only modest activity in terms of disease control and survival. Novel molecular alterations are correlated with grading, location, and prognosis of meningiomas. Moreover, some of these driver alterations regulate meningioma growth and progression and may be targeted by specific drugs that are under investigation in clinical trials. Lastly, the microenvironment surrounding meningiomas may also contribute to regulating tumor growth: in particular, PD-L1 and/or M2 macrophage expression may represent a target for immunotherapy. Abstract Meningiomas are common intracranial tumors that can be treated successfully in most cases with surgical resection and/or adjuvant radiotherapy. However, approximately 20% of patients show an aggressive clinical course with tumor recurrence or progressive disease, resulting in significant morbidity and increased mortality. Despite several studies that have investigated different cytotoxic agents in aggressive meningiomas in the past several years, limited evidence of efficacy and clinical benefit has been reported thus far. Novel molecular alterations have been linked to a particular clinicopathological phenotype and have been correlated with grading, location, and prognosis of meningiomas. In this regard, SMO, AKT, and PIK3CA mutations are typical of anterior skull base meningiomas, whereas KLF4 mutations are specific for secretory histology, and BAP1 alterations are common in progressive rhabdoid meningiomas. Alterations in TERT, DMD, and BAP1 correlate with poor outcomes. Moreover, some actionable mutations, including SMO, AKT1, and PIK3CA, regulate meningioma growth and are under investigation in clinical trials. PD-L1 and/or M2 macrophage expression in the microenvironment provides evidence for the investigation of immunotherapy in progressive meningiomas.
Application of Data Mining Technology-Based Nursing Risk Management in Emergency Department Care

Nursing risk refers to all unsafe events that may occur in clinical nursing work. Common risk events include bed fall, fall, scald, line dislodgement, drug extravasation, and drug administration error, which easily lead to nursing-patient disputes and seriously affect the prognosis of patients. In order to effectively avoid nursing risks, strengthening nursing risk management (NRM), improving nursing management mechanism, and improving nursing operation process have become effective ways to manage risks. The emergency department is an important window for rescuing critically ill patients in the hospital, and it is also the main department where diagnosis, nursing risk events, and medical disputes occur. The traditional risk care model has failed to meet the current demand for emergency patient management, and a more scientific and standardized management scheme is urgently needed. In order to improve the quality of NRM in emergency departments and combine the advantages and characteristics of big data-related technologies, this paper proposes an algorithm based on data mining for application in emergency care. The application of data mining in medical care is summarized and combined with the work content and requirements of hospital emergency care, and the application of big data in patient condition monitoring and early warning, medical and nursing staff scheduling, and patient emotional reassurance is discussed, and then, a solution for hospitals to optimize emergency care using data mining is proposed for the special characteristics of emergency care. Initially, the optimized solution is proposed to improve the efficiency and accuracy of patient condition monitoring and early warning, to improve the real-time scheduling of medical and nursing staff, and to solve medical care problems such as patient emotional calming. The analysis shows that the application of big data in emergency care can improve the efficiency of emergency ambulance, improve the doctor-patient relationship, and promote the development of emergency care.
Finite‐time input L2 bumpless transfer control for switched systems with its application to aircraft model

This article addresses the finite‐time (FT) input L2$$ {L}_2 $$ bumpless transfer (BT) control problem for switched systems. First, the performance of the input L2$$ {L}_2 $$ BT is described, quantifying the energy difference caused by the input signal jumps. The objective is to suppress large jumps during switching. Second, a sufficient evidence is established through the multiple Lyapunov functions method to ensure that the switched systems satisfy both the FT H∞$$ {H}_{\infty } $$ property and input L2$$ {L}_2 $$ BT performance. Also, this evidence allows that the control issue may not be addressed by subsystems. Then, a switching controller and a switching rule are simultaneously constructed for purpose of addressing the issue of the FT input L2$$ {L}_2 $$ BT control for switched systems. Finally, an effective validation of the established control method is verified by an F$$ \mathrm{F} $$ ‐18 aircraft model simulation.
‘I’ve been astounded by some of the insights gleaned from this course’: Lessons learnt from the world’s first careers and employability MOOC by both instructors and participants

This article examines the design and delivery of the world’s first Massive Open Online Course (MOOC) focused specifically on career and employability skills. It explores the context of MOOCs and why a university, such as the University of London, may choose to provide an open access learning experience particularly aimed at career development skills. The article examines the content choices and pedagogical design of the MOOC and provides an insight into the key learning points for the authors who were co-instructors on the course. Finally, it outlines plans for future iterations of the Enhance Your Career and Employability Skills MOOC.
Comparison of Public and Private School Principals’ Instructional Leadership Skills: Mixed-Method Approach [doi: 10.14527/kuey.2014.018]

The purpose of this research is to compare public and private middle school principals’ skills in instructional leadership. The study depends on the explanatory approach of mixed method research. Starting with a quantitative inquiry, it focuses on the differences between public and private school principals’ instructional leadership, drawing upon TALIS (Teaching and Learning International Survey) data conducted by OECD in 2008, which involves 187 middle school principals. The qualitative part of the study further explains findings from quantitative section drawing on the interviews of a purposefully selected total sample of 4 principals and 8 teachers from both school types. The study found contradictions between quantitative and qualitative results in terms of differences between public and private school principals’ instructional leadership behaviors. Despite significant difference in favor of private school principals as highlighted by quantitative study, the qualitative inquiry found that private school principals were involved in in-person instructional leadership practices less often than public school principals were.
PERFORMANCE ISSUES IN MIXING CELLULAR AND MANET FOR iNET

In the iNET community, communications between Test Articles (TA) and Ground Station (GS) can be over a long distance course that places a TA at ranges where they are sometimes beyond line-of-sight (LoS) or over-the-horizon communications with the GS. In other cases, the TA moves out of the LoS communications range of GS. There is a need to provide communications to these TA at these over-the-horizon locations. The Cellular and Mobile Ad Hoc Network (MANET) have attracted a lot of attention recently and the field continues to grow daily. The cellular network offers high capacity but limited in coverage due to its fixed base infrastructure. MANET on the other hand has a wide range of coverage and also high data rates, but its throughput performance is reduced at high capacity. The MANET cellular mixture network (MCMN) has been proposed to provide an extensive communications between the TA and GS in the iNET environment. This work presents a performance evaluation and analysis of the two different networks with respect to the performance needs of iNET environment which include coverage and throughput.
Flow visualisation and heat/mass transfer in a linear turbine cascade with tip clearance

Abstract Flow visualisation and heat/mass transfer measurements in a linear turbine cascade with tip/casing clearances ranging from 0.60% to 6.90% of chord show the influence of blade tip geometry for a standard flat tip, a squealer tip and a geometry with a winglet on the pressure side and a squealer on the suction side of the blade. Oil-lampblack and oil-dot techniques show the surface flow on the blade endwall and tip while a laser light-sheet and a smoke wire indicate the three-dimensional flow in the tip clearance and blade passages. Local heat/mass transfer from the blade tips is measured using the naphthalene sublimation technique. Experiments with the standard flat tip blade clearly show that a separation bubble exists at the pressure side edge of the tip surface at all tip clearance levels. The effect of the tip leakage vortex on the secondary flows in the blade passage is also evident: with an increase of tip clearance, the horseshoe vortices disappear while the passage vortex is weakened and pushed away from the suction surface by a strengthened leakage vortex. The flow in the gap changes significantly for the squealer tip and the winglet-squealer tip cases. The surface flow visualisation identifies reattachment and recirculation regions on the blade tips. Photographic images, compared to detailed convective heat/mass transfer measurements, provide an interpretation of the heat/mass transfer results.
Phytoplankton Surveys in the Arctic Fram Strait Demonstrate the Tiny Eukaryotic Alga Micromonas and Other Picoprasinophytes Contribute to Deep Sea Export

Critical questions exist regarding the abundance and, especially, the export of picophytoplankton (≤2 µm diameter) in the Arctic. These organisms can dominate chlorophyll concentrations in Arctic regions, which are subject to rapid change. The picoeukaryotic prasinophyte Micromonas grows in polar environments and appears to constitute a large, but variable, proportion of the phytoplankton in these waters. Here, we analyze 81 samples from the upper 100 m of the water column from the Fram Strait collected over multiple years (2009–2015). We also analyze sediment trap samples to examine picophytoplankton contributions to export, using both 18S rRNA gene qPCR and V1-V2 16S rRNA Illumina amplicon sequencing to assess the Micromonas abundance within the broader diversity of photosynthetic eukaryotes based on the phylogenetic placement of plastid-derived 16S amplicons. The material sequenced from the sediment traps in July and September 2010 showed that 11.2 ± 12.4% of plastid-derived amplicons are from picoplanktonic prasinophyte algae and other green lineage (Viridiplantae) members. In the traps, Micromonas dominated (83.6 ± 21.3%) in terms of the overall relative abundance of Viridiplantae amplicons, specifically the species Micromonas polaris. Temporal variations in Micromonas abundances quantified by qPCR were also observed, with higher abundances in the late-July traps and deeper traps. In the photic zone samples, four prasinophyte classes were detected in the amplicon data, with Micromonas again being the dominant prasinophyte, based on the relative abundance (89.4 ± 8.0%), but with two species (M. polaris and M. commoda-like) present. The quantitative PCR assessments showed that the photic zone samples with higher Micromonas abundances (>1000 gene copies per mL) had significantly lower standing stocks of phosphate and nitrate, and a shallower average depth (20 m) than those with fewer Micromonas. This study shows that despite their size, prasinophyte picophytoplankton are exported to the deep sea, and that Micromonas is particularly important within this size fraction in Arctic marine ecosystems.
Why planning limits its concern: a case study of planning for dogs in Melbourne, Australia

ABSTRACT As urban planners focus on creating more sustainable cities, there is an increasing need to plan for other species. Found in around 40% of Australian households, dogs have a growing, legitimate presence in urban culture and society. Dogs however remain a neglected subject of urban planning scholarship and practice. This paper critically examines why urban planners exclude dogs as subjects of their plans through the voices of practising strategic planners in the urban context of Melbourne, Australia. This paper characterises planning as being governed by two dimensions – the ontological and epistemological – and finds that the actions of planners in excluding dogs from consideration concerns the functioning of their ontologies of gatekeeper and practitioner as they negotiate and reshape the frontier of planning and its field of concern. The importance of anthropocentrism in governing how planners exclude dogs from planning in practice is shown to be profound.
An Interpretable Model for Collaborative Filtering Using an Extended Latent Dirichlet Allocation Approach

With the increasing use of AI and ML-based systems, interpretability is becoming an increasingly important issue to ensure user trust and safety. This also applies to the area of recommender systems, where methods based on matrix factorization (MF) are among the most popular methods for collaborative filtering tasks with implicit feedback. Despite their simplicity, the latent factors of users and items lack interpretability in the case of the effective, unconstrained MF-based methods. In this work, we propose an extended latent Dirichlet Allocation model (LDAext) that has interpretable parameters such as user cohorts of item preferences and the affiliation of a user with different cohorts. We prove a theorem on how to transform the factors of an unconstrained MF model into the parameters of LDAext. Using this theoretical connection, we train an MF model on different real-world data sets, transform the latent factors into the parameters of LDAext and test their interpretation in several experiments for plausibility. Our experiments confirm the interpretability of the transformed parameters and thus demonstrate the usefulness of our proposed approach.
Noticeable Problems of Braking Calculation for High Speed Train

The effort per gravity N·kN~(-1) is legally determined to the unit of specific effort(train resistance or tractive effort or braking effort)on《Regulations on Railway Train Traction Calculation》in the year 1998,so the unit of specific effort must be unitized on the legal unit for braking calculation of high speed train in China,then the established series calculative formulas should be used to any form.The paper points out that the rotary mass coefficient should not be neglected for braking calculation of high speed motor train units(emu or dmu)and the rotary mass coefficient of evenly traction mode(distributed power)is higher than pull-push mode(concentrated power). In addition,the practical formulas of braking adhesion coefficient(wet rail and dry rail)on Chinese railway are put forward.
Spatial Distribution of Black Soot and Its Health Effects in Port Harcourt Metropolis, Nigeria

This research presents a novel approach to assessing the health implications of black soot using a MiniVol air sampler. The MiniVol air sampler was used to collect PM from the ambient air at six monitoring sites in Port Harcourt, Nigeria. Sampling was conducted every day for seven days, for a period of 24 hours. PM2.5 concentrations at Uniport Junction, GRA Junction, Slaughter Roundabout, Abuloma Jetty, Rumuomasi Roundabout, and New Road Borokiri were 38.6 g/m3 , 28.3 g/m3 , 93.7 g/m3 , 72.9 g/m3 , 30.6 g/m3 , and 31.3 g/m3 , respectively. PM10 concentrations ranged from 71.2 g/m3 to 60.6 g/m3 , with 103.3 g/m3 , 85.5 g/m3 , 40.1 g/m3 , and 35.2 g/m3 being the highest. The level of PM2.5 and PM10 pollution in the ambient air was high across the six sampling sites, with mean PM2.5 and PM10 concentrations exceeding the WHO (2011) guideline. The flame atomic absorption spectrometry (FAAS) technique was used. The presence of heavy metals, such as mean metal concentrations of lead, cadmium, chromium, mercury, and nickel, ranged from 0.009 g/m3 -0.532 g/m3 , 0.002 g/m3 - 0.544 g/m3 , 0.002 g/m3 -0.338 g/m3 , 0.001 g/m3 , and 0.001 g/m3 -0.432 g/m3 , across the six sampling sites. The GC-MS was used to determine the presence of PAHs in particulate matter. Correlation results revealed a strong positive correlation between PM2.5 and PM10. The findings also revealed a positive relationship between the metals as well as between the metals and PAHs, resulting in asthma, lung cancer, breathing difficulties, and miscarriages among pregnant women, which have affected the health implications of the people living in the environment.
Average Power Handling Capability of Microstrip Lines Considering Heat Convection and Self-Heating Effects With Temperature-Dependent Resistivity

In this article, the average power handling capability (APHC) of microstrip lines is studied which considers both the heat convection and self-heating effects (SHEs) with temperature-dependent resistivity. A modified parallel-plate model (MPM) is developed to improve the prediction accuracy of APHCs. First, an effective thermal conductivity is used as correction in the original parallel-plate model. After that, the impact of heat convection on the microstrip line is combined in MPM, which matters in realistic situations. Finally, MPM is extended to account for SHEs of metal lines with temperature-dependent resistivities. For validation, APHCs of several microstrip lines with different dielectric substrates are investigated. The results agree well with those simulated by the commercial multiphysics solver, which confirms the validity and accuracy of the model.
Effect of body size, feeding ecology and maternal transfer on mercury accumulation of vulnerable silky shark Carcharhinus falciformis in the eastern tropical pacific.

The silky shark Carcharhinus falciformis is a large pelagic species distributed in the global oceans and was recently listed as "Vulnerable" by the IUCN because of its decline in population due to overfishing. As an apex predator, the silky shark can accumulate elevated quantities of mercury (Hg), posing a potential risk to its remaining population. In this study, total Hg (THg) concentrations were determined in silky shark muscle, liver, dermis, red blood cells (RBC) and plasma sampled from the eastern tropical Pacific, and δ15N values were measured to explore the influence of feeding ecology on Hg accumulation. The highest THg concentrations were in muscle (7.81 ± 6.70 μg g-1 dry weight (dw) or 2.14 ± 1.83 μg g-1 wet weight (ww)) and liver (7.88 ± 10.22 μg g-1 dw or 4.66 ± 6.04 μg g-1 ww) rather than dermis, RBC and plasma. The THg concentrations in all tissue types were significantly correlated with fork length and showed faster accumulation rates after maturity. Maternal THg transfer was observed in silky sharks with embryos having 33.16% and 1.98% in muscle and liver compared with their respective mothers. The potentially harmful THg concentrations in silky shark tissues and embryos may lead to health problems of sharks and consumers. THg concentrations were negatively correlated with δ15N values for all tissues, indicating likely baseline variations in δ15N values that reflect changes in the foraging habitats or regions of silky sharks with size or age. Lastly, strong correlations were observed among THg concentrations of all tissue types, indicating that nonlethal sampling of muscle and dermis tissue can be used effectively to quantify THg concentration of other internal tissues.
Reliable data exchange in vehicular delay tolerant networks using AI‐based hybrid trust management

Vehicular delay‐tolerant networks (VDTNs) play prominent part in smart transportation and smart city paradigm to diminish the drivers' risk to meet accidents and offer many infotainment and entertainment services. All the operations are carried out by exchanging data among nodes. However, due to open communication nature of VDTN, the data broadcasted by mobile nodes are quiet susceptible to security attacks. Recently, a number of protocols are proposed for open communication. However, securing such communications and establishing trust value among vehicles are major addressable issues. This is because the existing fraudulent peers can lead to catastrophic circumstances on roads. Along with securing the data carriers, the authenticity and reliability of data is also equally important. In order to identify reliable nodes and maintaining the authenticity of data being communicated, a new artificial intelligence (AI)‐based hybrid trust management framework is proposed in this article. The study particularly exploits the proximity‐based k‐nearest neighbour (kNN) classification model for selecting controlling nodes. Further, decision stump is employed to accomplish trust estimation rules, and backpropagation is used to self‐train the mobile nodes, whenever anticipated trust value is not attained. The proposed scheme maintains the integrity of vehicular nodes and efficiently handles the specified. The trust framework uses a multifaceted direct and recommended trust estimation approach to calculate the global trust values. For comparison, the performance of the proposed method was compared with other trust management approaches.