Miracle-dz/UniFAR-FTUs huggingface dataset:
Characteristics and Potential Inhalation Exposure Risks of Environmentally Persistent Free Radicals in Atmospheric Particulate Matter and Solid Fuel Combustion Particles in High Lung Cancer Incidence Area, China

Environmentally persistent free radicals (EPFRs) were previously considered an unrecognized composition of air pollutants and might help explain the long-standing medical mystery of why non-smokers develop tobacco-related diseases such as lung cancer. However, there is no investigated on EPFRs in Xuanwei rural areas, especially in high prevalence of lung cancer areas. In this study, we selected six types of coal and three types of biomass in Xuanwei, then conducted simulated combustion, and six group of atmospheric particulate matters (APMs) to explore the content and particle size distribution pattern of EPFRs and a new health risk assessment method to evaluate the risk of EPFRs in PM for adults and children. Our results show that the contribution of EPFRs for biomass combustion, coal combustion and APMs were mainly distributed in the size range of <1.1 μm, which accounted for 76.15 ± 4.14%, 74.85 ± 10.76%, and 75.23 ± 8.18% of PM3.3. The mean g factors and ΔHp-p indicated that the EPFRs were mainly oxygen-centered radicals in PM in Xuanwei. The results suggest that the health risk of EPFRs is significantly increased when the particle size distribution of EPFRs is taken into account, and coal combustion particulate matter (174.70 ± 37.86 cigarettes for an adult, 66.39 ± 14.39 cigarettes per person per year for a child) is more hazardous to humans than biomass combustion particulate matter (69.41 ± 4.83 cigarettes for an adult, 26.37 ± 1.84 cigarettes per person per year for), followed by APMs (102.88 ± 39.99 cigarettes for an adult, 39.10 ±15.20 cigarettes per person per year for) in PM3.3. Our results provides a new perspective and evidence for revealing the reason for the high incidence of lung cancer in Xuanwei, China.
Interference Image Edge Detection Based on Wavelet Packet for Laser Interferometer Hydrophone

An interference image edge detection method for laser interferometer hydrophone based on wavelet packet is investigated. Considering the effect of ocean background noise on the interference image, we propose the use of a class of wavelet packet functions to make decomposition on noisy interference image, and then make reconstruction on approximate parts of the decomposed image. The approximate parts with the wavelet packet decomposition is of more clear image layers comparison to the original image, and the wavelet packet decomposition method can reduce the influence of background noise on the interference image. Taking the wavelet packet decomposition method and other edge detection algorithms for contrast, it is proved that the wavelet packet decomposition method for edge detection algorithm is more effective than the other algorithms.
Coordination Control and Energy Management of Standalone Hybrid AC/DC Microgrid

An efficient energy management scheme for a standalone hybrid AC/DC microgrid (HMG) has been proposed in this paper. Energy management in a microgrid is a challenging task, because of the involvement of the distributed energy resources (DERs) which are intermittent in nature. The microgrid may therefore, undergo mismatch in demand and supply, when either the generation or load varies. This mismatch in power may result into DC bus voltage deviations and sometimes these deviations may be out of the permissible limits. A coordination control-based strategy (CCS) for DC bus voltage deviation mitigation and efficient energy management of the standalone microgrid is investigated here. The CCS is tested with the help of simulation studies on a test hybrid AC/DC microgrid in MATLAB covering all the scenarios which may arise. The test microgrid consists of a solar photovoltaic (PV) generation, a secondary source of generation, PEM fuel cell, a battery and a super capacitor. Coordination between the various sub-units and energy management of hybrid AC/DC microgrid is done using Fuzzy Logic Control (FLC) and the DC bus voltage deviations are also compared with PI based control system. It is found that the system with FLC has better performance than PI based control system.
Experimental investigations on line‐of‐sight multiple‐input‐multiple‐output channel characteristics with multi‐polarization antenna arrays

In this article, the line‐of‐sight (LOS) multiple‐input‐multiple‐output (MIMO) channel characteristics with multiple polarized antenna arrays are experimentally investigated. The channel transmission matrices under different combinations of up to six kinds of antenna polarizations are measured, and then the matrix condition number and channel capacity are studied. It is concluded from the results that we can achieve lower matrix condition number and higher capacity with proper combination and configuration of antenna polarization in LOS environment. Furthermore, the relationship between channel capacity and channel matrix condition number is also analyzed. © 2011 Wiley Periodicals, Inc. Microwave Opt Technol Lett, 2011; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.26078
Quality Pedagogical Practice in Early Childhood Education Institutions Relating to Children at Risk of Social Exclusion

Quality early childhood education and care has been the focus of interest of researchers for over half a century. Approaches to the quality monitoring and quality assurance of early childhood education and care, as well as its conceptualisation and operationalisation, have changed and developed over the decades in line with contemporary understandings of child development and learning, and in accordance with changes in the purpose and functions of early childhood education and care. The results of many relevant studies confirm that quality early childhood education and care is crucial for short-term and long-term positive outcomes in different development and learning areas, especially in the case of disadvantaged children, including children at risk of social exclusion. The aim of this paper is to present the concept of quality in early childhood education and care from various research perspectives, with special emphasis on a review of the literature on the quality of pedagogical practice aimed at children at risk of social exclusion. The paper presents the theoretical model of responding to the needs of children at risk of social exclusion in Croatian early childhood education and care. Special attention is given to the quality of pedagogical practice regarding children at risk of social exclusion, as a prerequisite for planning targeted measures and interventions directed at this group of children and their families within the Croatian early childhood education and care system. It was concluded that the key factors for quality pedagogical practice are an interdisciplinary approach of highly qualified professionals and the participation of all key stakeholders within the child’s immediate environment, as well as connection between relevant policies and practice, which are crucial for early childhood education and care quality.
The Simulation of Rusty Phenomenon Based on Image Texture Feature

The simulation of aging appearance is essential in the realistic modeling, We propose a method using existing aging image to simulate aging appearance, We establish the classification library, extract the texture feature of different types aging and save them, set the weight of the texture feature and synthesis texture according to the environment. In addition, user can specify the constrained texture mapping position optionally. This method can simulate various rusty phenomenon simultaneously. It can also be combined with physically-based method and ton spreading-based method to implement rendering of realistic 3D model rapidly.
A single vehicle routing problem with fixed delivery and optional collections

The Single-Vehicle Routing Problem with Fixed Delivery and Optional Collections considers a set of delivery customers receiving goods from a depot and a set of collection customers sending goods to the same depot. All delivery customers must be visited by the vehicle, while a collection customer is visited only if the capacity of the vehicle is large enough to fit the collected load and the visit reduces collection costs that would be otherwise incurred. The goal is to minimize the transportation and collection costs. A model is proposed and solved utilizing a branch-and-cut method. Efficient new cuts are proposed. Computational experience is offered on two sets of test problems. It is proved possible to solve instances that previous methods were unable to solve. The method was tested on larger instances.
Optimization of Vehicle Structure Considering Torsion Stiffness Using Simple Structural Beam Frame-Approach

AbstractVehicle structural design is an important component of automotive design since the structure of a vehicle plays complex interactions with the other vehicle components and has significant impact on the performance of the vehicle. Structural design is usually completed after many iterations and the design changes in the late design stages effect many other parameters in the design of vehicle. Therefore, it is highly valuable for designers to employ simple but effective analyses at the early design stages. One method of analysis is using Simple Structural Surfaces. This method utilizes planar sheets to model the vehicle structure and allows the determination of the forces in each sheet. The major drawback of this method is its inability to determine deflections in a structure. To overcome this drawback a method that uses beam elements to represent the vehicle structure has been developed. This method uses a numerical finite element method and is able to determine unknown deflections and reaction forc.
Applying design of experiments to improve a laser welding process

A case study on laser welding processing at a one-model car production line at a recognized automotive plant is presented. The process under study is used to weld together the roof and sides of a car by means of two lasers. This process has quality issues related to the frequent appearance of pores in both cords. As this problem had been occurring for the last two years, it was evident that it was necessary to tackle it from a different angle, so experimentation was identified as the tool needed. A design of experiments approach was chosen as an efficient technique to maximise the information gained from the experimentation. An average reduction in the number of pores of 97 per cent is obtained.
Ab Initio Study of Structural, Electronic and Optical Properties of Full-Heusler Compound CO2MnZ (Z=Si, Ge) Using Wien2k Code

Original Research Article The structural, electronic and optical properties of the full Heusler compounds Co2MnZ (Z= Si, Ge) have been studied using the Wien2k application. Half metallic ferromagnetism has been predicted in these compounds using the first principle calculations. The Full Potential Linearized Augmented Plane Wave (FP-LAPW) method along with local orbitals have been incorporated to solve the Hamiltonian of the system and hence to study the properties. The exchange-correlation potential is determined using PBE-GGA (Perdew, Becke, and Enzerhof-Generalized Gradient Approximation) potential. Among various full Heusler compounds, these compounds have been concentrated because of its enormous applications in the field of spintronics and magneto electronics. The property of half metallicity makes these compounds unique and noticeable from other compounds of the same class. The results have been compared with the available theoretical data the results obtained from this work were in good agreement with the compared theoretical values.
Influence of planting date and herbicide program on Amaranthus palmeri control in dry bean

Abstract Late-emerging summer annual weeds are difficult to control in dry bean production fields. Dry bean is a poor competitor with weeds, due to its slow rate of growth and delayed canopy formation. Palmer amaranth is particularly difficult to control due to season-long emergence and resistance to acetolactate synthase (ALS)-inhibiting herbicides. Dry bean growers rely on PPI and preemergence residual herbicides for the foundation of their weed control programs; however, postemergence herbicides are often needed for season-long weed control. The objective of this experiment was to evaluate effect of planting date and herbicide program on late-season weed control in dry bean in western Nebraska. Field experiments were conducted in 2017 and 2018 near Scottsbluff, NE. The experiment was arranged in a split-plot design, with planting date and herbicide program as main-plot and subplot factors, respectively. Delayed planting was represented by a delay of 15 d after standard planting time. The treatments EPTC + ethalfluralin, EPTC + ethalfluralin followed by (fb) imazamox + bentazon, and pendimethalin + dimethenamid-P fb imazamox + bentazon, resulted in the lowest Palmer amaranth density at 3 wk after treatment and the highest dry bean yield. The imazamox + bentazon treatment provided poor Palmer amaranth control and did not consistently result in Palmer amaranth density and biomass reduction compared with the nontreated control. In 2018, the delayed planting treatment had reduced Palmer amaranth biomass with the pendimethalin + dimethenamid-P treatment, as compared with standard planting. Delaying planting did not reduce dry bean yield and had limited benefit in improving weed control in dry bean. Nomenclature: Bentazon; dimethenamid-P; EPTC; ethalfluralin; imazamox; pendimethalin; Palmer amaranth; Amaranthus palmeri S. Watson; dry bean; Phaseolus vulgaris L.
Study on 3D Modeling for History Building and Precision Analyzing

Taking a certain history building as an example, we introduce a real 3D digital method for Large-Scale history building using 3D laser scanner and total station, and analyze the precision of coordinate conversion model and established 3D model. Firstly, the building are separated into many stations which are scanned separately in order to get the points cloud of each station, at the same time, the coordinates of targets and feature points of each station are obtained with laser scanner and total station respectively; next step, we convert the points cloud of every station with conversion program developed by Matlab so that the data are under the uniform reference frame with the collected homonymy targets; finally, the points cloud which have been registered are meshed in order to build real 3D digital history building model, meanwhile we analyze the precision of conversion model and the real 3D model. The result shows that this method is fast, efficient, and the prospective model has high precision.
Optimization of Inlet Ring Groove Arrangement for Suppression of Unstable Flow in a Centrifugal Impeller

An optimization of the inlet ring groove arrangement has been pursued in the present study for obtaining better impeller characteristics and a wider operation range at both small and large flow rates in a high specific speed type centrifugal impeller with inducer. The effects of the shape parameters with respect to the inlet ring groove on the impeller characteristic and the flow incidence were analyzed mainly based on numerical simulations, but also compared to the experimental results. At small flow rates, a significant improvement in the impeller characteristic is achieved due to reduction in the excessive-positive flow incidence by optimizing both location and width of the rear groove near the inducer tip throat. On the other hand, the impeller characteristic is improved at large flow rates by implementing the corner radius at the rear groove edge and by placing another front ring groove in the suction pipe. As a result, by the optimized configuration of the front and rear ring grooves, the unstable flow range of the test impeller can be reduced by about 50% without deterioration of the impeller characteristic even at the 125% flow rate.Copyright © 2005 by ASME
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications

The thriving of artificial intelligence (AI) applications is driving the further evolution of wireless networks. It has been envisioned that 6G will be transformative and will revolutionize the evolution of wireless from “connected things” to “connected intelligence”. However, state-of-the-art deep learning and big data analytics based AI systems require tremendous computation and communication resources, causing significant latency, energy consumption, network congestion, and privacy leakage in both of the training and inference processes. By embedding model training and inference capabilities into the network edge, edge AI stands out as a disruptive technology for 6G to seamlessly integrate sensing, communication, computation, and intelligence, thereby improving the efficiency, effectiveness, privacy, and security of 6G networks. In this paper, we shall provide our vision for scalable and trustworthy edge AI systems with integrated design of wireless communication strategies and decentralized machine learning models. New design principles of wireless networks, service-driven resource allocation optimization methods, as well as a holistic end-to-end system architecture to support edge AI will be described. Standardization, software and hardware platforms, and application scenarios are also discussed to facilitate the industrialization and commercialization of edge AI systems.
Stock Market Prediction Using Machine Learning Techniques: A Decade Survey on Methodologies, Recent Developments, and Future Directions

With the advent of technological marvels like global digitization, the prediction of the stock market has entered a technologically advanced era, revamping the old model of trading. With the ceaseless increase in market capitalization, stock trading has become a center of investment for many financial investors. Many analysts and researchers have developed tools and techniques that predict stock price movements and help investors in proper decision-making. Advanced trading models enable researchers to predict the market using non-traditional textual data from social platforms. The application of advanced machine learning approaches such as text data analytics and ensemble methods have greatly increased the prediction accuracies. Meanwhile, the analysis and prediction of stock markets continue to be one of the most challenging research areas due to dynamic, erratic, and chaotic data. This study explains the systematics of machine learning-based approaches for stock market prediction based on the deployment of a generic framework. Findings from the last decade (2011–2021) were critically analyzed, having been retrieved from online digital libraries and databases like ACM digital library and Scopus. Furthermore, an extensive comparative analysis was carried out to identify the direction of significance. The study would be helpful for emerging researchers to understand the basics and advancements of this emerging area, and thus carry-on further research in promising directions.
A rapid in situ test device to evaluate the compaction effort of aggregate piers

A current in situ test exists to evaluate a load–deformation relationship of aggregate piers. However, the test is lengthy, evaluates only non-production aggregate piers, and does not provide a record of compaction. It would be beneficial to evaluate production piers as they are installed. A new in situ device was developed to provide knowledge about the compaction effort of aggregate piers. The device is referred to as the RAM Test. The device evaluates production piers and obtains a compaction record. The report includes a detailed description of the device, the research methods involved to analyze the data, and results of the analyses. Last, the report includes conclusions and recommendations based on the objectives of the research; (1) test the RAM Test device, (2) use the device to observe, and collect load and acceleration data on aggregate piers during installation, (3) establish a relationship between acceleration and permanent deformation, (4) calculate load characteristics, and (5) determine stiffness values.
Evaluation of the Clinical Effectiveness of the Salmeterol/Fluticasone Fixed-Dose Combination Delivered via the Elpenhaler® Device in Greek Patients with Chronic Obstructive Pulmonary Disease and Comorbidities: The AEOLOS Study

Background: Chronic Obstructive Pulmonary Disease (COPD) is an inflammatory lung disease characterized by airflow limitation that is not completely reversible. The fixed-dose combination of salmeterol and fluticasone propionate (SFC) has been approved as a treatment for COPD patients with a history of recurrent exacerbations and significant symptoms despite regular bronchodilator therapy. In the present study, we evaluated the change in FEV1, mMRC dyspnea score and satisfaction in COPD patients with at least one comorbidity versus those without comorbidities treated with a fixed-dose SFC via the Elpenhaler® device for 12 months. Methods: A 12-month multicenter prospective, observational study (NCT02978703) was designed. Data were collected during the enrollment visit (V0) and six (V1) and twelve months (V2) after the initiation of treatment with Elpenhaler® SFC. The evaluation of the efficacy of the fixed-dose SFC was performed by assessing the change in lung function and dyspnea as expressed by FEV1 and the mMRC dyspnea scale score in COPD patients with and without comorbidities. Results: In total 1016 patients were enrolled, following usual daily clinical practice. A statistically significant improvement was observed in FEV1 in the total study population between visits V0, V1 and V2, with a change from the baseline at V1 0.15 ± 0.22 L and at V2 0.21 ± 0.25 L (p < 0.0001 for both comparisons). This improvement was exhibited regardless of the COPD severity at the baseline, being more noticeable in GOLD 2020 groups B and C. Similarly, a significant improvement was observed in mMRC dyspnea scale values between successive visits (p < 0.0001). In patients without comorbidities, there was a significant improvement in FEV1 of 0.19 ± 0.24 L at V1 and 0.28 ± 0.27 L at V2 (p < 0.0001 for both comparisons), as well as in the mMRC dyspnea score (p < 0.0001). In patients with at least one comorbidity, a corresponding but smaller improvement in FEV1 was observed (0.11 ± 0.34 L at V1 and 0.20 ± 0.42 L at V2; p < 0.0001 for both comparisons and in the mMRC score (p < 0.0001). In the multiple linear regression analysis BMI, GOLD 2020 groups, mMRC and the presence of comorbidities at the baseline were significant factors for the change of FEV1 between V0 and V2. Conclusions: COPD patients treated for twelve months with SFC via the Elpenhaler® device showed significant improvement in lung function and dyspnea at 6 and 12 months, irrespective of the presence of comorbidities.